BOOK OF ABSTRACT AN NUUR INTERNATIONAL CONFERENCE ON HEALTH, BUSINESS, EDUCATION, SCIENCE AND TECHNOLOGY
TECH-ENABLED INTERACTIVE HEALTH COACHING ON SELF-MANAGEMENT MOTIVATION IN TYPE 2 DIABETES MELLITUS: A QUASI-EXPERIMENTAL STUDY
Type 2 diabetes mellitus (T2DM) is a growing global health burden, including Indonesia, with significant impacts on morbidity, mortality, and quality of life. Effective self-management is essential but often hindered by low motivation and self-efficacy. This study aimed to evaluate the effectiveness of tech-enabled interactive health coaching (TIHC) delivered via the Sweetech-DM application in improving self-management motivation, self-efficacy, and quality of life among patients with T2DM. This quasi-experimental study involved 80 patients with T2DM (40 in the intervention group and 40 in the control group). The intervention consisted of a TIHC program delivered through the Sweetech-DM application. The control group received standard education provided by community health facilities. Data were collected using the treatment self-regulation questionnaire (TSRQ), diabetes management self-efficacy scale (DMSES), and world health organization quality of life scale (WHOQOL-BREF). Data were analyzed using chi-square tests, paired-sample t-tests, independent-sample t-tests, and ANCOVA. The findings revealed significantly greater improvements in self-management motivation, quality of life, and self-efficacy in the intervention group compared to the control group (p value <.0001). There were significant post-intervention differences between the intervention and control groups across all measured variables (p value <.0001). The results indicate that application-based TIHC is effective in enhancing self-management motivation, self-efficacy, and quality of life among patients with T2DM. These findings highlight the potential of TIHC as an innovative educational strategy for primary healthcare settings.
Type 2 diabetes mellitus, self-management, motivation, health coaching, peer support
Hak Cipta (c) 2026 BOOK OF ABSTRACT AN NUUR INTERNATIONAL CONFERENCE ON HEALTH, BUSINESS, EDUCATION, SCIENCE AND TECHNOLOGY
A SYSTEMIC REVIEW ON THE ROLE OF AI IN TPACK'S IMPLEMENTATION
The development of Artificial Intelligence (AI) technology is increasingly influencing the world of education. Particularly in how teachers integrate technology, teaching methods, and lesson content. This study aims to understand how AI supports the implementation of the Technological Pedagogical Content Knowledge (TPACK) framework in teacher education. This study was conducted by systematically reviewing 15 studies published between 2023 and 2025 from various reputable journals. The results indicate that AI helps teachers design more engaging and adaptive learning, for example through the use of chatbots, generative AI, and automated learning systems. However, not all teachers are able to utilize AI effectively in their learning. This condition can happen because a lack of training, institutional support, and an understanding of the ethics of technology use. This study emphasizes the importance of developing AI-based TPACK (AI-TPACK), which emphasizes not only technological capabilities but also responsibility and discretion in its use. These findings can serve as a basis for educational institutions to create more relevant teacher training in the digital age.
Artificial Intelligence (AI), TPACK, AI-TPACK
A SYSTEMATIC REVIEW: THE IMPACT OF DIGITAL PROFICIENCY ON TEACHER PROFESSIONAL DEVELOPMENT
In the rapidly evolving digital education landscape, teachers require digital proficiency not merely as a technical skill but as a foundational competency for effective professional development and classroom innovation. This systematic review examines how teacher digital proficiency influences professional development outcomes and identifies mediating pedagogical, psychological, and institutional factors across varied educational settings. Following PRISMA guidelines, a document based analysis was conducted on fifteen peer reviewed studies published between 2021 and 2025 across databases such as Scopus, Google Scholar, SINTA, Garuda, and Semantic Scholar. Thematic content analysis synthesized the findings by mapping them against the DigCompEdu and UNESCO ICT Competency Framework for Teachers. The findings reveal that digital proficiency consistently predicts enhanced teacher performance, teaching creativity, and professional identity development, particularly through professional engagement and pedagogical applications. However, challenges like infrastructure gaps, time constraints, and motivation heavily mediate these outcomes, while organization and learner empowerment competencies remain underrepresented. In conclusion, teacher digital proficiency emerges as a vital catalyst for modern professional development. Therefore, professional development providers must prioritize sustained and framework guided training. Such programs are essential to actively remove systemic barriers and ensure equitable digital competence across educational contexts.
Digital Proficiency, Teacher Professional Development, TPD, Education
THE BENEFIT OF ARTIFICIAL INTELLIGENCE (AI) IN ENGLISH LANGUAGE TEACHING
The use of Artificial Intelligence technology in English language learning brings many real benefits to students and teachers. AI intelligence that helps humans do tasks that require intelligence in a short time. The definition of AI is an artificial intelligence tool. The existence of AI in education brings a new revolution, as well as innovation, development, and benefits in education, especially in foreign languages. AI facilitates the implementation and generation of teaching plans. Including creating teaching modules and supporting teaching media. The use of Artificial Intelligence AI in English language learning is increasingly showing great potential for teachers by improving the quality and effectiveness of the teaching and learning process. This Research is a literature study focusing on the development and use of Artificial Intelligence in English language teaching. By conducting library research, this study aims to benefits in implementing AI as an efficient English language learning tool that can be used by teachers and adapted to students’ needs. This article used Descriptive analysis with a qualitative approach. This indicates that the data used is secondary data, specifically related to the benefits of artificial intelligence for English language learning. The results reveal that AI has benefits in English language teaching and helps facilitate effective educational transformation.
STUDENT ENGAGEMENT IN BLENDED LEARNING ENVIRONMENTS: A SYSTEMATIC REVIEW OF EFFECTIVE DESIGN STRATEGIES AND PEDAGOGICAL IMPLICATIONS
Background: Blended learning has emerged as one of the most transformative instructional paradigms in higher education. However, the specific design elements and pedagogical strategies that most effectively foster student engagement remain insufficiently understood. Objective: This study aimed to identify effective blended learning designs and pedagogical strategies that promote behavioral, cognitive, and affective dimensions of student engagement. Methodology: This study employed a systematic review approach following the PRISMA protocol. A total of 42 peer-reviewed studies published between 2004 and 2024 were selected from ERIC, Scopus, and Web of Science databases. Results: Findings revealed that teacher–student interaction is the strongest predictor of engagement, followed by active learning activities such as collaborative problem-solving and peer discussion. Learning management systems, instructional videos, and interactive polling tools enhance engagement when intentionally integrated into course design. Socioeconomic status, digital literacy, and institutional infrastructure were identified as significant moderating variables. Conclusion: Effective blended learning environments require intentional instructional design, meaningful interaction, and appropriate technological integration to maximize student engagement.
blended learning, student engagement, instructional design
ENGLISH AS A GATEWAY TO GLOBAL MARKETS: A QUALITATIVE STUDY OF VANILLA BUYER OUTREACH
English plays an important role in international business communication and provides opportunities for small businesses to access global markets. This qualitative exploratory case study investigates the role of English in international buyer outreach conducted by an Indonesian vanilla business owner. Data were collected from 22 outreach attempts targeting prospective buyers in Malaysia, Singapore, Brunei Darussalam, Saudi Arabia, the United Kingdom, Japan, and the United States. Additional data were obtained from buyer response records and local purchasing cases. Data were analyzed using the framework proposed by Miles, Huberman, and Saldaña.The findings indicate that English facilitated initial communication with prospective international buyers but did not always lead to business opportunities. Four themes emerged from the analysis: English as a gateway to international communication, positioning ambiguity, product-market compatibility, and trust and credibility. The findings suggest that successful buyer outreach depends not only on English proficiency but also on clear business positioning, product relevance, and trust-building strategies. This study contributes to the fields of English for Specific Purposes (ESP), business communication, and SME internationalization.
English for Business Communication, Buyer Outreach, International Communication, Vanilla Business, SME Internationalization
ANALYSIS OF ALOE VERA AND LEAD (II) ACETATE (Pb(CH3COO)2) COMPOSITE SYNTHESIS AS A CANDIDATE APRON MATERIAL
The use of radiation, particularly X-rays, poses health risks when exposure occurs at high doses and over prolonged periods. Lead-based aprons are commonly used as protective shielding; however, they are heavy, rigid, and toxic. This study aimed to analyze the effect of varying compositions of Aloe vera powder and Lead(II) Acetate on the X-ray radiation absorption effectiveness of composite apron materials and to determine the optimal composition for effective X-ray attenuation. Aloe vera powder was prepared through drying, grinding, and sieving using an 80-mesh sieve. The composites were synthesized using a chemical method with three composition ratios of Aloe vera powder to Lead(II) Acetate: 100:0%, 80:20%, and 60:40%, while polyester resin was used as the matrix material. The characterization included density measurement, X-ray radiation absorption performance (half-value layer (HVL), linear attenuation coefficient, and Radiation Absorption Ratio (RAR)), and internal bond (IB) strength testing. The relationships among variables were analyzed using Pearson correlation analysis. The results demonstrated that increasing the proportion of Lead(II) Acetate enhanced the density of the composites (from 1.03 to 1.18 g/cm³), reduced the HVL (from 0.621 to 0.240 cm), and increased both the linear attenuation coefficient (from 1.116 to 2.887 cm⁻¹) and the RAR (from 74.99% to 89.26%). The equivalent thickness value decreased from 0.28 to 0.24 cm, while the internal bond strength increased significantly from 6.46 to 13.24 kg/cm². Pearson correlation analysis revealed a very strong relationship between the composite composition and X-ray radiation absorption effectiveness (r = 0.917). It can be concluded that the variation in composite composition significantly affects X-ray radiation absorption performance, with the optimal composition obtained in Sample C, consisting of 60% Aloe vera powder and 40% Lead(II) Acetate
Radiation shielding apron, Aloe vera, Lead(II) Acetate, Composite, X-ray radiation.
MODEL HIBRID KEAMANAN KOMUNIKASI DATA MENGGUNAKAN FEDERATED LATTICE-BASED CRYPTOGRAPHY DAN HOMOMORPHIC STEGNOGRAPHY DENGAN OPTIMASI QUANTUM-RESISTANT PROTOCOL
Data communication security faces significant challenges with the development of quantum computing and the increasing complexity of cyberattacks. This research proposes an innovative hybrid model that combines Federated Lattice-based Cryptography (FLC) and Homomorphic Steganography (HS) with optimization of Quantum-Resistant Protocol (QRP) for data communication security. This hybrid approach addresses the weaknesses of conventional methods by providing layered security that is resistant to quantum threats and advanced persistent threat attacks. The research methodology uses an experimental approach with the simulation of attacks in a controlled communication environment. Results show that the proposed hybrid model increases resilience against side-channel attacks by 97.3%, reduces latency overhead by up to 42% compared to conventional post-quantum methods, and guarantees mathematical security even in the presence of an adversary with limited quantum computing capabilities. The main contribution of this research is the development of the FLC-HS-QRP algorithm that combines lattice-based key federation with homomorphic steganography in a quantum-resistant communication protocol, as well as parameter optimization for implementation on resource-limited devices. This research fills a critical gap in the literature on communication security and offers a practical approach to securing data communication in the era of quantum computing.
data communication security; federated lattice-based cryptography; homomorphic steganography; quantum-resistant protocol;cryptographic key federation
LIMITATIONS AND ADVANCES OF ASSOCIATION RULE MINING AND FP-GROWTH ALGORITHMS FOR TIME-VARIANT TRANSACTION DATA IN THE FOOD & BEVERAGE INDUSTRY
The Food & Beverage (F&B) industry exhibits high volatility, where consumer preferences and market dynamics shift rapidly due to temporal factors such as contemporary trends, seasonality, and time of day. In the era of smart restaurants, leveraging high-volume Point of Sale (POS) transaction data is crucial for optimizing supply chains and menu engineering strategies. However, conventional Association Rule Mining (ARM) algorithms, such as FP-Growth, and current predictive analytics approaches possess fundamental limitations. These methods lack native temporal modeling, rely on static threshold parameters, and are prone to high computational overhead when processing dynamic F&B transactional data characterized by frequent null transactions. Consequently, the generated patterns are often obsolete, leaving a significant gap in integrating these trend patterns with autonomous decision-making systems capable of responding to market shifts independently. To address these limitations, this study proposes a novel framework that converges Trend-Aware Data Mining, Knowledge Graphs (KG)/Ontologies, and Agentic Artificial Intelligence (Agentic AI). At the data mining layer, the FP-Growth algorithm is modified using a Time Decay Factor approach and a Sliding Window strategy to enhance sensitivity to trends and minimize runtime. The extracted temporal transactional knowledge is then integrated into a semantic ontology model and a Knowledge Graph, serving as a structured database to model interdependencies between consumer behavior and inventory dynamics. Finally, this semantic knowledge is utilized as shared global information within a Multi-Agent System (MAS) ecosystem using a Centralized-Training–Decentralized-Execution (CTDE) architecture. An agentic workflow is implemented to automate tactical decisions in supply chain management (such as automated replenishment) and dynamic menu adjustments. This research makes a significant scientific contribution through the development of an efficient, lightweight variant of the temporal FP-Growth algorithm tailored for F&B transactional data. Furthermore, it formulates a novel ontology model that bridges temporal association patterns with smart restaurant dynamics and establishes a semantic-knowledge-based Agentic AI architecture for automating supply chain and menu engineering decisions. For the industry sector, the implementation of this framework is expected to optimize stock levels, reduce food waste, and significantly enhance operational efficiency and business profitability through agile, real-time, data-driven decision-making
Agentic AI, Multi-Agent Systems, Temporal Association Rule Mining, FP-Growth, Knowledge Graph, Smart Restaurant, Menu Engineering
COMPARISON OF RESAMPLING TECHNIQUES & MACHINE LEARNING ALGORITHM ON MATERNAL HEALTH RISK
The high maternal mortality rate drives the need for accurate early detection systems for pregnancy risk. This study compares nine classification model combinations — three resampling techniques (SMOTE, SMOTE-Tomek Links, ADASYN) with three tree-based algorithms (Decision Tree, Random Forest, XGBoost) — using the UCI Maternal Health Risk dataset (1,014 records, 6 features). Preprocessing includes outlier handling via the IQR method and label encoding. Data was stratified-split 70:30 and validated with 10-Fold Cross Validation within an ImbPipeline framework to prevent data leakage. The best result was achieved by XGBoost + SMOTE with an Accuracy of 99.67% and F1-Score of 0.9967, followed by Random Forest + SMOTE-Tomek Links with a CV F1-Score of 0.9957 (±0.0065). Feature importance analysis identified Blood Sugar (BS) as the most influential attribute (importance 0.5953), followed by Systolic Blood Pressure (0.1815) and Body Temperature (0.1014). This study confirms that XGBoost + SMOTE is the optimal combination for maternal health risk classification and has strong potential for implementation as a clinical decision support system in primary healthcare facilities.
maternal health risk classification, SMOTE, SMOTE-Tomek Links, ADASYN, Decision Tree, Random Forest, XGBoost, 10-Fold Cross Validation, feature importance
TRANSFORMING WASTE INTO VALUE: A COMMUNITY-BASED CIRCULAR ECONOMY EMPOWERMENT MODEL IN GROBOGAN REGENCY
Conventional household waste management under a linear model ("Buy-Use-Dispose") continuously strains regional sanitation budgets and leads to significant unrealized economic losses in Grobogan Regency. This study aims to examine and implement a local economic empowerment framework through a community-based circular waste ecosystem, positioning the "Jadwal SampahKu" digital platform as an enabling infrastructure to optimize the eco-commodity supply chain. The methodology adopts a participatory approach integrating local authority coordination, communal collection mapping, and an economic incentive conversion system based on reward points for households actively separating their waste. The evaluation demonstrates that establishing this ecosystem effectively transforms community members from passive waste producers into autonomous green economy actors. The strategic use of this digital tool significantly optimizes waste logistics by ensuring structured source-separation, directly cutting regional government expenditure on municipal waste maintenance. Furthermore, the program fosters community ecological autonomy by redirecting local organic waste into productive agricultural inputs and establishing alternative revenue streams for citizens. This study concludes that strengthening community capacity facilitated by circular digital instruments is a critical strategy to accelerate sustainable green economic growth at the regional level.
EMPOWERING FARMER COMMUNITIES THROUGH CORN COB WASTE-BASED BIONEST FIBER INNOVATION FOR SUSTAINABLE CHILI CULTIVATION AND RURAL ECONOMIC GROWTH
Abstract- Corn cob waste is an abundant agricultural byproduct that has not been optimally utilized by the community. This situation also occurs in the Lilo Rukun Minulyo Farmers Group in Sukolilo Village, Pati Regency, which still faces challenges in managing corn cob waste and a low germination rate for chili seeds, reaching only around 50–60%. This Community Service Program aims to develop and implement BioNest Fiber, an environmentally friendly growing medium based on corn cob waste, to increase the germination rate of chili seeds while supporting sustainable agricultural waste management. The implementation method includes preparation, outreach, training, practical training on making BioNest Fiber, mentoring, monitoring, and evaluation. The program is implemented in a participatory manner, actively involving farmer group members in all stages of the activity. The expected results are an increase in the utilization of corn cob waste to at least 80%, an increase in the germination rate of chili seeds to over 75%, and an increase in the knowledge and skills of farmer group members in processing agricultural waste. The BioNest Fiber innovation is expected to provide environmental benefits, increase agricultural productivity, and create sustainable economic opportunities based on local resources.
BioNest Fiber, corn cobs, planting medium, chili germination, community empowerment.
Beyond Human Resource Practices: A Resource-Based View of Strategic Human Resource Management and Organizational Performance in Islamic Banking
This study aims to explore the role of Strategic Human Resource Management (SHRM) in enhancing organizational performance from the Resource-Based View (RBV) perspective within the Islamic banking industry. Amid increasing competition, digital transformation, and regulatory changes, Islamic banks are required to develop sustainable competitive advantages by effectively managing their strategic resources. RBV argues that organizational performance is influenced by valuable, rare, inimitable, and non-substitutable resources, among which human resources are considered one of the most critical assets. Therefore, understanding how SHRM contributes to organizational performance through the development of strategic human capital becomes increasingly important in the context of Islamic banking.This research employs a qualitative approach using a case study design. Data were collected through semi-structured interviews with managers, human resource practitioners, and employees from Islamic banking institutions, complemented by document analysis and organizational reports. The data were analyzed using thematic analysis to identify patterns, themes, and relationships between SHRM practices and organizational performance outcomes. The findings indicate that SHRM practices, including strategic recruitment and selection, competency-based training and development, performance management, talent management, and employee engagement initiatives, play a significant role in strengthening organizational capabilities. These practices contribute to the development of human capital, organizational knowledge, and adaptive capabilities that align with RBV principles. Furthermore, the study reveals that the integration of Islamic values into HR strategies fosters employee commitment, ethical behavior, and organizational cohesion, which further support organizational effectiveness and long-term performance.The study concludes that SHRM serves as a strategic mechanism for transforming human resources into unique organizational assets that generate sustainable competitive advantages. From an RBV perspective, human capital and organizational capabilities emerge as key drivers of organizational performance in Islamic banking. The findings provide practical implications for managers seeking to enhance organizational performance through strategic human resource initiatives while maintaining alignment with Islamic principles. This study also enriches the literature on SHRM and RBV by offering contextual insights from the Islamic banking sector in an emerging economy.
Strategic Human Resource Management (SHRM); Resource-Based View (RBV); Organizational Performance
ANALYSIS OF THE DISPARITY BETWEEN REGULATION AND REALITY: EVALUATING THE IMPACT OF THE FREE NUTRITIOUS MEAL (MBG) PROGRAM ON THE INCOME AND PROFIT MARGINS OF TRADITIONAL MARKET TRADERS IN ARSO DISTRICT, KEEROM REGENCY, PAPUA
The Free Nutritious Meal (Makan Bergizi Gratis/MBG) program is a national priority policy introduced to enhance the quality of human resources while simultaneously providing economic stimuli for micro-enterprises at the local level. As a food buffer zone in Keerom Regency, Papua Province, Arso District is theoretically projected to receive a liquidity injection of up to IDR 8 billion per village annually. This study aims to evaluate the empirical impact of the MBG program on the income and profit margins of traditional market traders in Arso District using a Sequential Explanatory Mixed Methods approach. Quantitative data were obtained from a structured survey of 59 traders across the Arso II Folk Market, Jaifuri Market (Arso III), and Arsopura Market, which were subsequently elaborated qualitatively through interviews with key informants. The quantitative analysis reveals findings that contradict the Keynesian Multiplier projections of macro-policy. The traders' average perception scores across all income and profit indicators fell below the neutral value (µ < 3.00), specifically concerning daily turnover (µ = 2.86), profit margins (µ = 2.78), and the sales volume of primary commodities (µ = 2.76). This low performance is driven by a severe supply chain exclusion rate, wherein 94.92% of local traders are entirely disengaged from raw material procurement. Furthermore, qualitative findings expose institutional distortions, indicating that the Nutritional Fulfillment Service Units (SPPG) tend to prioritize internal supplies, self-cultivation, and closed partnerships, leading to patterns of patronage and nepotism. Instead of improving welfare, the program triggers a negative spillover effect by inducing shortages in agricultural commodities at the market level and inflating wholesale prices due to direct procurement competition with the SPPG, which ultimately compresses the profit margins of small-scale traders. This study recommends a regulatory restructuring of the National Nutrition Agency's (BGN) procurement system by enforcing mandatory purchasing quotas from traditional markets to foster spatial justice in Papua.
Free Nutritious Meal Program (MBG), Traditional Market Traders, Keerom Regency, Papua
TALLENTBOOST GAMES PENGEMBANGAN PLATFORM GAMIFIED CAREER REDINESS ASSESMENT SEBAGAI STRATEGI INOVATIF DALAM MENINGKATKAN KESIAPAN KERJA SISWA SMA DAN MAHASISWA MELALUI SMART JOB RECOMMENDATION SYSTEM
The rapid development of the digital era requires young people to possess relevant and adaptive skills. However, many high school and university students still face difficulties in identifying their potential and determining suitable career paths. This study aims to develop TalentBoost Games, a gamification-based application designed to help users map their skills, improve competencies, and obtain appropriate career recommendations. The development method consists of several stages, including design, development, optimization, and publication. The system integrates skill-based games, user profiles, competency analysis, and features for career recommendations and verified job opportunities. The expected outcome is an application that enhances users’ self-awareness of their potential, provides an interactive learning experience, and supports more informed career decision-making. By applying a gamification approach, this application is expected to increase learning motivation and better prepare young generations to face future workforce challenges.
DIGITAL TRANSFORMATION AND SALES PERFORMANCE IMPROVEMENT OF SAMBELONO EATERY: EVIDENCE FROM A CULINARY SME IN SIDOARJO, INDONESIA
Digital transformation has become a critical factor in enhancing the competitiveness and sustainability of small and medium-sized enterprises (SMEs), particularly in the culinary industry. This study examines the impact of digital transformation on the sales performance of Sambelono Eatery, a culinary SME located in Sidoarjo, Indonesia. Specifically, the research evaluates the contribution of social media engagement, online ordering platforms, customer ratings, and customer retention to sustainable business growth. A quantitative descriptive case-study approach was employed using secondary data collected from company performance records during 2023–2025. The analysis focused on key performance indicators, including annual sales revenue, repeat customers, social media engagement, customer ratings, and online orders. Growth rates were calculated to assess the effectiveness of digital transformation initiatives implemented through digital platforms such as GoFood, GrabFood, ShopeeFood, and social media channels. The findings indicate that digital transformation positively influenced business performance. Annual sales revenue increased from IDR 968 million in 2023 to IDR 1.497 billion in 2025, achieving an average growth rate of 24.36%. Online orders grew by 23.98%, while social media engagement increased by 21.33%. Customer ratings remained consistently high at 4.8 out of 5, reflecting strong customer satisfaction and positive brand perception. However, repeat customer growth reached only 9.67%, remaining below the company target and indicating challenges in customer retention. The study concludes that digital transformation is a key driver of sustainable sales growth in culinary SMEs. Nevertheless, long-term business sustainability requires the integration of digital marketing initiatives with customer relationship management (CRM) strategies, loyalty programs, and personalized customer engagement practices.
Digital Transformation, Sales Performance, Social Media Engagement, Online Ordering, Customer Retention
DEVELOPMENT OF CHITOSAN ADSORBENT FROM RED KURISI FISH SCALES (NEMIPTERUS VIRGATUS)–TIO₂ FOR LEAD (PB) ADSORPTION IN LEACHATE FROM BATU TERANG LANDFILL, BANTAENG REGENCY
Chitosan is a natural biopolymer derived from chitin through a deacetylation process and is well known for its non-toxic, biodegradable, and environmentally friendly properties. This study aimed to evaluate the effectiveness of chitosan extracted from red kurisi fish scales (Nemipterus virgatus) combined with TiO₂ as an adsorbent for reducing heavy metal Pb in landfill leachate from Batu Terang, Bantaeng Regency. The synthesis of chitosan was carried out through deproteinization, demineralization, and deacetylation processes, resulting in a yield of 80.44% with a degree of deacetylation of 86.12%. Characterization of the chitosan included moisture content analysis (1.5%), ash content (0.86%), and Fourier Transform Infrared Spectroscopy (FTIR), which confirmed the successful formation of chitosan through the appearance of –NH₂ and –OH functional groups. The obtained chitosan was then composited with TiO₂ at different ratios of 1:0, 1:1, and 2:1 (chitosan:TiO₂) and further confirmed using FTIR analysis. Adsorption experiments were conducted by adding 0.25 g of adsorbent into 50 mL of leachate sample. The concentration of Pb was measured using Atomic Absorption Spectroscopy (AAS) before and after treatment. The results showed that all adsorbent variations were able to reduce the initial Pb concentration of 2.1609 mg/L to below the quality standard of 0.1 mg/L as regulated by Indonesian Government Regulation No. 82 of 2001. The highest efficiency was achieved by pure chitosan (1:0 ratio) with a final Pb concentration of 0.0124 mg/L and an efficiency of 99.43%, followed by the 2:1 ratio with 70.81% and the 1:1 ratio with 52.27%. These findings indicate that chitosan derived from red kurisi fish scales is an effective and environmentally friendly adsorbent, with optimal performance observed in its pure form without TiO₂ addition. This study also highlights the potential utilization of fishery waste as a value-added material for sustainable wastewater treatment technologies. Furthermore, it contributes to the development of biomass-based adsorbent materials and offers a cost-effective, efficient, and sustainable solution for treating polluted water in broader practical applications in Indonesia.
adsorption, leachate, chitosan, Nemipterus virgatus, TiO₂, Pb
BLENDED LEARNING-BASED EARLY DETECTION STRATEGY TO REDUCE MATERNAL, INFANT MORTALITY, AND STUNTING IN CENTRAL JAVA
Maternal mortality, infant mortality, and stunting remain key priorities in efforts to develop high-quality human resources in Indonesia. The health status of mothers, infants, toddlers, and school-aged children is fundamental in producing a superior generation. Midwives, as primary healthcare providers for pregnant women, play a strategic role in promotive and preventive services. One approach to strengthening these efforts is through blended learning training. This study employed a quantitative approach with a case-control design and utilized a one-group pre-posttest experimental framework. The research was conducted at the Klambu Community Health Center, where midwives received blended learning training to evaluate its impact on reducing Maternal Mortality Rate (MMR), Infant Mortality Rate (IMR), and stunting prevalence. The results showed that the Mann-Whitney statistical test for maternal mortality yielded a significance value of ρ=0.241 (>0.05), indicating that the blended learning intervention had no significant effect on reducing MMR. However, the Mann-Whitney test for infant mortality produced a value of ρ=0.027 (<0.05), demonstrating a significant effect of the intervention on reducing IMR. Additionally, the independent t-test for stunting revealed a significance value of ρ=0.028 (<0.05), indicating that the intervention significantly contributed to reducing stunting rates. In conclusion, blended learning training for midwives did not significantly affect maternal mortality rates but showed a meaningful impact on reducing infant mortality and stunting. Therefore, blended learning can be considered an effective strategy to enhance early detection and strengthen health promotion practices among midwives in efforts to reduce IMR and stunting incidence.
Blended learning, Infant Mortality Rate, Maternal Mortality Rate, Stunting.
THE EFFECT OF A PREGNANCY EDUCATION CHATBOT ON THE ANXIETY LEVEL OF PREGNANT WOMEN WITH EMESIS GRAVIDARUM AT PURWODADI 1 PUBLIC HEALTH CENTER
Background; Emesis gravidarum is a physiological complaint that often triggers anxiety in first-trimester pregnant women due to the lack of accurate information regarding bodily changes during pregnancy. Objective; This study aimed to evaluate the impact of a pregnancy education chatbot on the anxiety levels of pregnant women experiencing emesis gravidarum at Purwodadi I Public Health Center. Methodology; This research used a pre-experimental design with a one-group pretest-posttest approach. The study population included all first-trimester pregnant women experiencing emesis gravidarum with 36 respondents selected through random sampling. . The intervention involved the use of a pregnancy education chatbot for 10 days. Anxiety levels were measured using the Hamilton Anxiety Rating Scale (HARS). Result; Before the intervention, most respondents experienced moderate anxiety (83.3%), and after the intervention, all respondents (100%) experienced a decrease in anxiety levels. Data analysis using the Wilcoxon Test showed a significance value of p-value = 0.000 (< 0.05). Conclusion; the use of pregnancy education chatbot significantly reduces anxiety levels in pregnant women with emesis gravidarum. This AI based digital tool serves as an effective, independent, non pharmacological intervention to assist mothers in managing anxiety throughout their pregnancy.
Educational Chatbot, Anxiety, Pregnant Women, Emesis Gravidarum
THE RELATIONSHIP BETWEEN KNOWLEDGE AND ATTITUDE OF PREGNANT WOMEN TOWARDS THE INACCURACY OF INTEGRATED ANTENATAL CARE VISITS AT GABUS 2 PUBLIC HEALTH CENTER IN 2024
Background: Pregnancy is a natural physiological process that requires proper monitoring throughout its course. Inadequate supervision during pregnancy can lead to complications in the antepartum, intrapartum, and postpartum periods, including maternal and neonatal mortality. Integrated Antenatal Care (ANC) based on the 10T standard is a critical public health strategy to reduce maternal and infant mortality rates. Objective: To determine the relationship between knowledge and attitude of pregnant women towards the inaccuracy of integrated ANC visits at Gabus 2 Public Health Center in 2024. Methods: A quantitative study with a cross-sectional analytical survey design was conducted in August 2025. A total of 45 first-trimester pregnant women were selected using accidental sampling based on the Slovin formula. Data were collected via validated knowledge and attitude questionnaires and maternal health records (KIA books), and analyzed using the Chi Square test. Results: The majority of respondents had poor knowledge (37.8%) and moderately positive attitudes (35.6%). A total of 62.2% of respondents had untimely integrated ANC visits. Chi Square analysis yielded p value = 0.000 (p < 0.05) for both variables. Conclusion: There is a statistically significant relationship between knowledge and attitude of pregnant women and the inaccuracy of integrated ANC visits at Gabus 2 Public Health Center in 2024. Healthcare providers are encouraged to strengthen ANC education programs and family support to promote timely antenatal visits.
Integrated Antenatal Care; Knowledge; Attitude; Visit Timeliness
THE INFLUENCE OF QUALITY OF WORK LIFE AND WORK MOTIVATION ON JOB SATISFACTION OF NURSES IN THE INPATIENT INSTALLATION AT RSUP. TADJUDDIN CHALID MAKASSAR
Background: Nurse job satisfaction plays a vital role in enhancing the quality of hospital services, which is influenced by the Quality of Work Life (QWL) and work motivation. At RSUP Dr. Tadjuddin Chalid Makassar, the termination of external medical personnel assistance triggered a sudden surge in workload, human resource limitations, and inadequate work facilities. A research gap exists as most previous studies focused solely on stable hospital conditions rather than the transitional phase of fluctuating workloads post-external crisis, as observed in this phenomenon. Objective: To determine the influence of QWL and work motivation on the job satisfaction of nurses in the inpatient installation of RSUP Dr. Tadjuddin Chalid Makassar. Research Method: This quantitative study utilized a cross-sectional approach. The population and sample consisted of 151 inpatient nurses selected via total sampling. Data were collected using valid and reliable questionnaires, then analyzed using univariate, bivariate (chi-square), and multivariate (multiple linear regression) analysis via SPSS. Results and Conclusion: The results showed a partial influence of QWL on job satisfaction (p = 0.000) and work motivation on job satisfaction (p = 0.000). Simultanously, QWL and motivation significantly influenced nurse job satisfaction (p = 0.021). The novelty of this research proves that despite being under extreme workload pressure with a low capacity to voice grievances, nurses maintained a high sense of job pride and security. The better the QWL and motivation conditioned during this transitional period, the higher the nurse job satisfaction. Suggestion: Hospital management is advised to utilize these unique behavioral findings to design human resource management strategies, retention policies, conducive environments, and fair reward systems post-workload crisis in government referral hospitals
Quality of Work Life, Work Motivation, Nurse, Job Satisfaction, Hospital, Inpatient
THE RELATIONSHIP OF HB LEVELS AND NUTRITIONAL STATUS OF PREGNANT WOMEN TO THE INCIDENT OF LBW AT THE TAWANGHARJO HEALTH CENTER IN 2025
Background: LBW is the condition of a baby with a birth weight of less than 2500 grams. The causes of LBW include maternal factors during pregnancy, for example maternal age, maternal nutrition, and socio-economic conditions. Pregnancy factors include pregnancy with hydramnios, nausea, antepartum bleeding, pregnancy complications such as preeclampsia/eclampsia, premature rupture of membranes, and fetal factors such as congenital defects and infections in the uterus. Objective: To determine the relationship between Hb levels and nutritional status of pregnant women on the incidence of LBW at the Tawangharjo Community Health Center. Methods: Quantitative research with an analytical survey design and a retrospective approach was conducted in June 2025. A total of 49 pregnant women used the Total Sampling technique. The data used is secondary data, namely LBW data from the 2024 Maternal and Child Health program report at the Tawangharjo Community Health Center, and analyzed using the Chi Square test. Results: Most of the mothers' Hb levels were normal, there were 47 respondents (95.9%), the nutritional status of the mothers was mostly normal, there were 47 respondents (95.9%), the incidence of LBW was mostly LBW, there were 47 respondents (95.9%). Chi Square analysis produces a value of p = 0.000 (p < 0.05) for both variables. Conclusion: There is a significant relationship between Hb levels and nutritional status of pregnant women and the incidence of LBW at the Tawangharjo Community Health Center. Awareness of the importance of maintaining nutritional and health status during pregnancy through a healthy lifestyle and adequate nutritional intake
LBW events; Hb level; Nutritional status; Pregnant mother
THE RELATIONSHIP BETWEEN HEALTH LITERACY AND QUALITY OF LIFE AMONG OLDER ADULTS WITH HYPERTENSION AT BONTOMARANNU COMMUNITY HEALTH CENTER, SOUTH SULAWESI
Background: Hypertension is a chronic condition commonly experienced by older adults and can affect their quality of life. Globally, the prevalence of hypertension is estimated to affect approximately 1.28 billion adults worldwide. In Indonesia, according to data from the 2018 Riskesdas survey, the prevalence of hypertension reached 34.1% among the population aged 18 years and older. The high prevalence of hypertension indicates that this condition is a serious health issue, particularly among the elderly. The elderly’s ability to understand health information (health literacy) plays a crucial role in disease management, treatment adherence, and the prevention of complications. Low health literacy can lead to poor blood pressure control and a decline in the quality of life for the elderly. Objective: To determine the relationship between health literacy and quality of life among the elderly with hypertension. Methods: This study employed a quantitative approach with a cross-sectional design. The sample consisted of 85 older adults with hypertension selected using total sampling. Data collection was conducted using a health literacy questionnaire that had been validated for validity and reliability, as well as the WHOQOL-BREF questionnaire to measure quality of life. Data analysis was performed using the Kruskal-Wallis test. Results: The results showed that the majority of respondents had a health literacy level in the problematic category. Bivariate analysis indicated a significant association between health literacy and quality of life in older adults with hypertension (p < 0.05). Conclusion: There is a significant association between health literacy and quality of life in older adults with hypertension. The higher the level of health literacy, the better the quality of life for older adults.
Health Literacy, Quality of Life, Older Adults, Hypertension
THE EFFECT OF CAREGIVER PSYCHOEDUCATION ON STRESS AND FAMILY ADAPTATION OF ELDERLY DEMENTIA CAREGIVERS
Introduction: elderly people experience physical and cognitive changes as they age which can greatly affect their quality of life. Seniors face a variety of challenges as they age, including physical, psychological, and cognitive problems such as dementia. Caregivers with dementia often experience stress and this can result in negative physical and psychological consequences for the caregiver, a phenomenon known as caregiver burden. High levels of stress can have a negative impact on the caregiver's physical and psychological health, as well as reduce the quality of care provided to the elderly. Psychoeducation is an approach designed to provide knowledge, skills and emotional support to caregivers. The aim of this research is to determine the effect of psychoeducation on the stress of elderly people with dementia. Method: quasi-experimental research type with a Non Equivalent Control Group Pretest and Posttest Design. The research population was family caregivers with a total sample of 66 and taken using consecutive sampling technique. The intervention in this study was psychoeducational interventions for caregivers and health education for the control group. The instruments used for stress are the Perceived Stress Scale (PSS-10). Results: there is a significant difference after providing caregiver psychoeducation intervention on the stress and adaptation of family caregivers with a p-value of 0.000 < 0.05, meaning that there is an influence of caregiver psychoeducation on the stress and adaptation of family caregivers of elderly people with dementia. Conclusion: caregiver psychoeducation is effective in reducing family caregiver stress levels.
Caregiver psychoeducation, family caregiver, dementia
THE ROLE OF TELEHEALTH IN IMPROVING FOLLOW-UP VISIT ADHERENCE AMONG PATIENTS WITH HYPERTENSION
Background: Hypertension remains a major public health challenge worldwide and is a leading risk factor for cardiovascular disease, stroke, and premature mortality. Effective hypertension management requires regular follow-up visits to monitor blood pressure and treatment outcomes. However, poor adherence to scheduled follow-up visits continues to hinder optimal disease control. Telehealth has emerged as a promising strategy to improve healthcare accessibility, patient engagement, and continuity of care, particularly for individuals with chronic diseases. Objective: This study aimed to examine the role of telehealth in improving follow-up visit adherence among patients with hypertension. Methods: A quasi-experimental study employing a two-group post-test design was conducted among 40 hypertensive patients recruited from a primary healthcare setting. Participants were assigned to either an intervention group (n = 20) or a control group (n = 20). The intervention group received telehealth-based services, including remote health education, follow-up monitoring, and appointment reminders, while the control group received standard care. Follow-up visit adherence was assessed using a validated adherence questionnaire and attendance records. Data were analyzed using an independent t-test with a significance level of p < 0.05. Results: The findings demonstrated a statistically significant difference in follow-up visit adherence between the intervention and control groups (p = 0.001). Patients who received telehealth interventions reported higher adherence scores compared with those receiving standard care, indicating improved compliance with scheduled follow-up visits. Conclusion: Telehealth significantly improved follow-up visit adherence among patients with hypertension. The integration of telehealth into primary healthcare services may represent an effective approach to enhancing patient monitoring, health education, and continuity of care for hypertension management. Further studies with larger sample sizes and longer follow-up periods are recommended to confirm these findings and evaluate long-term clinical outcomes.
EFFECTIVENESS OF EFFLEURAGE MASSAGE ON PAIN ADAPTATION ACTIVE PHASE OF FIRST STAGE LABOR
Labor pain is experience physiological that is almost always experienced Mother giving birth , especially during the first phase active . Experience This caused by uterine contractions and dilation cervix . One of the non- pharmacological methods For reduce painful labor is effleurage massage. Research This aim For know effectiveness of effleurage massage on adaptation pain during the first phase of labor active Study This apply design pre experiment with one-group pretest- posttest design . The sample consists of 52 respondents , namely Mother giving birth in the first phase active that meets criteria inclusion and exclusion . Instruments measurement is sheet Numeric Rating Scale (NRS) observation for evaluate level painful before and after intervention Effleurage massage . Data analysis used the Shapiro-Wilk normality test , followed by the Wilcoxon Signed Rank Test. Research result This show that before intervention effleurage massage , part Mother giving birth experience painful heavy with average value of 7.04. After intervention , value the decrease to 5.23, so that happen average decline average of 1.81 points . The Wilcoxon test produced Z value = -6.316 with p = 0.000 (p < 0.05). Findings This indicates existence effectiveness significant effleurage massage against adaptation pain in the first stage of labor active . Research conclusion This state that technique effective effleurage massage lower intensity painful labor in the first phase active . Therefore that , power health recommended For apply technique the as non- pharmacological interventions in management painful childbirth . In addition , education about technique This need given to Mother giving birth as preparation facing the labor process .
Effleurage Massage; Labor Pain ; Active Phase I ; Mother in Labor ; Adaptation
THE RELATIONSHIP BETWEEN PERCEIVED VULNERABILITY AND SEVERITY OF MODERN AND HEALTHY CIRCUMCISION BEHAVIORS FROM A HEALTH BELIEF MODEL PERSPECTIVE
Background: Circumcision is a medical procedure performed for health, religious, or cultural reasons. In public health, modern circumcision performed by healthcare professionals using sterile procedures is considered safer and can provide health benefits. Modern and healthy circumcision practices have not been optimally utilized by the public. The behavioral decision to undergo modern and healthy circumcision is influenced by various psychological, social, and cultural factors. The Health Belief Model (HBM) is a frequently used approach to explaining health behavior. This model explains that a person's health behavior is influenced by the individual's perception of disease risk (perceived susceptibility) and disease severity (perceived severity). Objective: The purpose of this study was to determine the relationship between perceived susceptibility and severity and modern and healthy circumcision behavior from the perspective of the Health Belief Model. Method: This study was a correlational analysis with a cross-sectional approach, which examines the dynamics of the correlation between risk factors and effects through a collaborative approach, observation, or data collection. Results: The study obtained a p-value of 0.048 < α (0.05), thus concluding that there is a relationship between perceived susceptibility and modern and healthy circumcision behavior. The study obtained a p-value of 0.009 < α (0.05), thus concluding that there is a relationship between perceived severity and modern and healthy circumcision behavior. Conclusion: There is a relationship between perceived vulnerability and modern and healthy circumcision behavior. There is a relationship between perceived severity and modern and healthy circumcision behavior.
Vulnerability, severity, behavior, circumcision
EFFECTIVENESS OF A WEBSITE AND BOOKLET-BASED HEALTH LITERACY MODEL ON METABOLIC SYNDROME MARKERS AMONG CIVIL SERVANTS: A QUASI-EXPERIMENTAL STUDY
Metabolic syndrome increases the risk of cardiovascular disease and type 2 diabetes mellitus. Civil servants are at risk of metabolic syndrome due to sedentary work patterns, unbalanced dietary intake, and low physical activity. Health literacy interventions through appropriate educational media can improve knowledge, motivation, and preventive behavior. This study aimed to analyze differences in metabolic syndrome markers, including waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, and fasting blood glucose after a health literacy intervention using a website and booklet. This study used a quasi-experimental design with a pretest-posttest control group. The intervention was conducted for 4 weeks. The intervention group received education through an interactive website and monitoring via a WhatsApp group, while the control group received education through a booklet. Data were analyzed using the Independent Sample t-test, Mann Whitney test, Paired Sample t-test, and Wilcoxon test. The results showed that waist circumference in the intervention group increased by 0.90 cm, but the change was not significant (p=0.249). In the control group, waist circumference increased significantly by 3.38 cm (p=0.000), although the difference between groups was not significant (p=0.362). Systolic and diastolic blood pressure did not change significantly in either group (p>0.05). Total cholesterol decreased by 4.13 mg/dL in the intervention group (p=0.460), while it increased by 5.44 mg/dL in the control group (p=0.203), with no significant difference between groups (p=0.123). Fasting blood glucose decreased by 0.40 mg/dL in the intervention group (p=0.082), while it increased significantly by 12.50 mg/dL in the control group (p=0.000). The difference between groups was significant (p=0.001). The website and booklet-based health literacy intervention was effective in preventing an increase in fasting blood glucose and slowing the increase in waist circumference among civil servants. This integrated educational media has potential as a promotive and preventive strategy in the workplace
metabolic syndrome, health literacy, website, booklet, employees
DEVELOPMENT AND VALIDATION OF TUBERCULOSIS EDUCATION MODULE FOR TB HEALTH YOUTH AMBASSADOR PROGRAM IN GROBOGAN DISTRICT: A PRECEDE-PROCEED BASED DEVELOPMENT STUDY
Background: Tuberculosis (TB) remains a significant public health concern in Indonesia, especially in rural areas with high disease burden and low levels of public awareness. Adolescents are often overlooked in TB education efforts, despite their potential as community-based health promoters. Objectives: This study aimed to describe the development and validation process of an educational module for the Tuberculosis Youth Health Ambassador (THYA) program in Grobogan District, Central Java Province. Methods: A modified research and development (R&D) design based on the PRECEDE-PROCEED Model was employed. The study included a situational assessment using in-depth interviews and focus group discussions (FGDs) with adolescents, healthcare workers, and community stakeholders, followed by the development of an educational module. The module was validated through expert judgment and small group trials with adolescent users. Qualitative data were analyzed thematically, while quantitative data were analyzed descriptively. Results: The situational analysis revealed that adolescents had baseline TB knowledge but limited understanding of latent TB and early detection of the disease. The developed module covers TB transmission, treatment, stigma reduction, and peer communication strategies. Expert validation yielded a content feasibility score of 88% ("very good"), and adolescent feedback indicated high practicality, clarity, and relevance. Conclusion: The THYA educational module is a feasible and context-appropriate tool for future training of youth health ambassadors in TB awareness. Its participatory design and validation suggest strong potential for replication and integration into youth health promotion strategies. Field implementation is recommended to evaluate the module's effectiveness in improving TB-related knowledge and behaviors among adolescents.
adolescent health promotion, health literacy, participatory module, tuberculosis
Hak Cipta (c) 2025 BOOK OF ABSTRACT AN NUUR INTERNATIONAL CONFERENCE ON HEALTH, BUSINESS, EDUCATION, SCIENCE AND TECHNOLOGY
KIDNEY STONE AREA CLASSIFICATION USING REGION OF INTEREST (ROI) ALGORITHM
Abstract – Kidney stone disease is a serious problem that requires early detection. Chronic kidney disease can occur due to acute kidney disease that lasts for a long time and no lifestyle changes or early treatment are made. CT image classification in kidney disease emphasizes the importance of selecting an activation function. By focusing on CT images, this approach promises an accurate diagnosis with a high level of accuracy, thus supporting daily clinical practice. In this study, the process of detecting kidney stones using naive bayes was carried out using a dataset in the form of kidney image data that had been scanned using computed tomography scanning. The developed naive bayes model has shown very good performance in recognizing kidney conditions from these medical images. The classification process is carried out using five features, one of which is a class/category marker. Testing was carried out by dividing 1453 data into 1017 training data (70%) and 436 test data (30%). After testing, classification using naive bayes Particle Swarm Optimization obtained an accuracy value of 93.90%, precision 100% and recall 93.90%. so that the results are used as a reference for classifying the classification group, namely Excellent Classification
naive bayes Particle Swarm Optimization, computed tomography, Kidney stone diseas