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Jurnal Ilmiah Ilmu Terapan Universitas Jambi
Published by Universitas Jambi
ISSN : 25802240     EISSN : 25802259     DOI : https://doi.org/10.22437/jiituj.v6i2
Core Subject : Education, Engineering,
Education Engineering Industrial & Manufacturing Engineering
JIITUJ publish the result of research on applied science and education (Research of applied science and education) such as: the research result on applied science and education such as curriculum development and learning, character education, technology and instructional innovation, and learning evaluation. the research result on applied science and technology such as the development of applied technology and applied arts, appropriate technology, designing information systems, the research result on applied science and economic development the research result on applied science and public health. JIITUJ is a double-blind peer-reviewed journal, published three (3) times a year by Research Institutions and Community Service (LPPM), Universitas Jambi, Indonesia. JIITUJ is open to academic circles and university researchers, research institutes, librarians, graduate and postgraduate students to share information on research results.
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 474 Documents
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PEDERSEN DIFFICULTY INDEX ACCURATELY PREDICTS OPERATIVE DURATION IN MANDIBULAR THIRD MOLAR REMOVAL: A CROSS-SECTIONAL CLINICAL STUDY Prestya, Pebrian Diki; Yuza, Abel Tasman; Zam, Syarifah Nova Amiza
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.56795

Abstract

Mandibular third molar removal is one of the most performed procedures in oral surgery. Surgical intervention is indicated for both preventive and therapeutic purposes. Preoperative evaluation of surgical difficulty is a critical determinant in the management of impacted mandibular third molars. There are methods for predicting extraction complexity, including the widely recognized Pedersen Difficulty Index, which provides a systematic approach to assessing surgical risk and procedural. The aim of this study understanding the correlation between Pedersen Difficulty Index as a predictor of operative duration in Mandibular Third Molar Removal at Department of OMFS Unimus Dental Teaching Hospital. Design of this study is analytics observational with a cross-sectional study at Department of Oral and Maxillofacial Surgery in January 2026 — March 2026. Minimum sample size was estimated for correlation analysis using a 95% confidence level. Data obtained from 29 patients undergo third molar removal. Variables in this study was Pedersen Difficulty Index and duration in Mandibular third molar removal. Sampling was conducted using consecutive sampling. Data analysis using Spearman rank correlation test. Results: Statistically highly significant difference in duration was observed among three levels of difficulty index (p=0.000; p<0.05). A Spearman’s Rank correlation coefficient of 0.733 indicates a strong positive correlation between the Pedersen difficulty score and operative duration. There is a strong and statistically significant positive correlation between the Pedersen difficulty index and duration in impacted mandibular third molar removal. Higher difficulty scores associated with longer surgical times, indicating that the Pedersen Difficulty Index is a reliable predictor of complexity.
BLOCKCHAIN-ENABLED ALGORITHMIC GOVERNANCE AND FRONTIER PERFORMANCE IN COOPERATIVE AGRIBUSINESS: INTEGRATING PRODUCTIVITY, TECHNOLOGY-GAP, AND TRANSACTION-COST ANALYSIS Riswandi, Dadang Iwan; Saleh, Rahmat
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.56891

Abstract

Blockchain technology is increasingly adopted in agribusiness supply chains to improve transparency, traceability, and coordination. However, previous studies have largely examined productivity, technology adoption, and transaction costs separately, providing limited understanding of how blockchain simultaneously affects production and governance performance. This study investigates the effects of blockchain adoption on technical efficiency, productivity growth, technology-gap reduction, and transaction-cost performance in a vertically integrated cassava–tapioca cooperative agribusiness system in Indonesia. A balanced panel dataset of 30 cooperative decision-making units (DMUs) observed from 2019–2025 was analyzed using an integrated framework combining Dynamic Network Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), the Malmquist Productivity Index (MPI), Meta-Frontier Analysis, and a Transaction-Cost Frontier Model. Blockchain adoption substantially improved organizational performance. Mean DEA technical efficiency increased from 0.742 to 0.861 (+15.98%), while SFA efficiency increased from 0.756 to 0.872 (+15.34%). Productivity growth accelerated after adoption, with MPI values ranging from 1.062 to 1.097, primarily driven by technological change. The Technology Gap Ratio increased from 0.841 to 0.921, indicating closer convergence toward the meta-frontier. Transaction-cost inefficiency declined by 35.5% among blockchain adopters, reflecting significant reductions in monitoring, verification, and coordination costs. The novelty of this study lies in conceptualizing blockchain as an algorithmic governance mechanism and integrating productivity, technology-gap, and transaction-cost frontier analyses within a single framework. The findings show that blockchain functions not only as a digital technology but also as a governance innovation capable of simultaneously shifting production and coordination frontiers, offering practical guidance for digital transformation in cooperative agribusiness systems.
TEACHER SELF-EFFICACY AS A PREDICTOR OF DIGITAL LEARNING ADOPTION INTENTION AFTER CODING AND ARTIFICIAL INTELLIGENCE TRAINING: A CROSS-SECTIONAL STUDY OF INDONESIAN TEACHERS Widianti, Hesti; Saputra, Irfan Triadi; Yasmin, Arifia; Ilmadina, Hepatika Zidny
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57000

Abstract

Digital transformation in education demands continuous improvement of teacher competencies in coding and artificial intelligence (AI). The mechanism explaining why some trained teachers adopt digital innovations while others do not remains underexplored, particularly self-efficacy as a mediating pathway between training and adoption. This study analyzes post-training self-efficacy, its predictive effect on adoption intention, and whether digital competency mediates this relationship. A cross-sectional survey involved 62 teachers (TK/PAUD, elementary, junior high school) participating in a Coding and AI Technical Guidance (Bimtek) program organized by a Regional Education Office in Central Java, Indonesia, selected through total sampling. Three validated instruments were administered: a self-efficacy questionnaire (10 items, α = .904), an adoption intention questionnaire (8 items, α = .925), and a 15-item digital competency test. Data were analyzed using simple linear regression and the Baron and Kenny mediation procedure verified by the Sobel test, with post-hoc power computed using Cohen's f² benchmark. Technology self-efficacy was high (M = 4.11, SD = 0.56) and significantly predicted adoption intention (β = .776, R² = .602, p < .001), with achieved power exceeding .99 (f² = 1.51). Digital competency did not mediate this relationship (Sobel z = 0.408, p = .684), indicating self-efficacy operates through a direct affective-motivational pathway rather than competency accumulation. This study provides novel evidence that self-efficacy is a more proximal determinant of adoption intention than competency in short-duration training. Implications include redesigning Bimtek to target self-efficacy through mastery experiences and assessing self-efficacy as a training outcome indicator.
BEYOND DIGITAL COMPETENCE: WHY AI-BASED VILLAGE FINANCIAL SYSTEMS FAIL TO PREVENT FRAUDULENT BEHAVIOR Angin, Ria; Adawiyah, Putri Robiatul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 4 (2026): Volume 10, Nomor 4, August 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i4.57074

Abstract

The AI supported Village Financial System (Siskeudes) has been widely promoted as a tool for improving village financial governance and preventing fraud, yet whether improved digital competence actually translates into fraud prevention remains empirically unclear. This study aims to examine the effectiveness of technical guidance in enhancing the competence of village government apparatus and to assess its contribution to fraud prevention in village financial management. A qualitative case study approach was employed. Data were collected through in-depth interviews with seven village government officials and one village budget transparency activist in Jember Regency, and analyzed using thematic analysis involving data reduction, coding, categorization, and interpretation. The results show that technical guidance significantly improved the operational competence of officials who already possessed basic digital literacy, but increased competence did not automatically reduce fraud risk: Siskeudes minimizes administrative errors yet cannot detect intentional manipulation or systemic fraud, and weak institutional oversight leaves this gap open despite digital adoption. The novelty of this study lies in demonstrating that digital competence alone is insufficient for fraud prevention in village governance; effective mitigation instead requires an integrated framework combining digital financial systems, tiered capacity-building, institutional oversight by the Village Consultative Body (BPD), and community participation. The implication is that policymakers should shift from a technology centered approach toward an integrated governance strategy combining technological innovation, human resource development, and participatory accountability.
TRANSFORMING HEALTHCARE GOVERNANCE THROUGH LOCAL WISDOM: JENGAH NGAYAH-BASED TRADITIONAL HEALTH TOURISM MODEL AT TAMAN USADA BALI Nandaka, I Ketut Tirka; Semara, I Made Trisna; Yadnya, Ida Bagus Putra; Saputra, I Putu David Adi
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57090

Abstract

The commodification of Balinese culture in tourism and the systemic dysfunction of modern, mechanistic healthcare governance highlight a critical need for holistic healing alternatives. Although traditional health tourism (Usada) in Desa Baru, Tabanan Regency, offers significant potential as an antithesis to this issue, its management remains sub-optimal. This study aims to analyze the existing governance dynamics and design a health tourism governance model rooted in local wisdom. Employing a qualitative approach with a multi-site case study design, data were collected through participatory observation and in-depth interviews with key informants, followed by thematic analysis. The findings reveal that addressing the failure of modern medical institutions to provide equitable and empathetic care requires a fundamental paradigm shift. Consequently, this study formulates the "Integrated Governance Model Based on Jengah Ngayah," which adapts the autonomous structure of the Desa Adat (customary village) and synthesizes it with the philosophies of Tri Hita Karana, Taru Pramana, and Bayu Pramana. The novelty of this research lies in redefining the service paradigm from transactional medical interventions to yadnya (spiritual devotion), creating a unique hybrid of community-based governance and traditional healing. In conclusion, this model effectively fosters a non-discriminatory, comprehensive healing environment. The practical implications suggest that integrating indigenous spiritual values into tourism governance not only secures a competitive destination advantage but also preserves local cultural authenticity through sustainable holistic healing experiences.
A CLUSTER-LABEL-BASED FRAMEWORK FOR WATER QUALITY RISK PATTERN CLASSIFICATION USING NAIVE BAYES AND RANDOM FOREST Wahyudin, Widya Cholid; Sutikno, Tole; Umar, Rusydi
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57126

Abstract

River water quality monitoring requires an analytical approach that can classify risk patterns from field observations, especially when independent official water quality labels are unavailable. Method: This study classified water quality risk patterns in the Bengawan Solo River using Naive Bayes and Random Forest based on K-Means cluster labels. The initial dataset consisted of 1,753 observations with ten attributes. After feature selection and missing-value removal, 1,751 observations with seven features were used, namely temperature, pH, electrical conductivity, total dissolved solids, water color, odor, and weather condition. K-Means with K=2 generated higher-risk and lower-risk pattern labels, which were then used as classification targets. Results: Naive Bayes achieved an accuracy of 0.988604, precision of 0.988880, recall of 0.988339, and F1-score of 0.988577. Random Forest achieved an accuracy of 0.980057, precision of 0.980499, recall of 0.979655, and F1-score of 0.980004. Discussion: The findings indicate that cluster-derived labels can be recognized consistently by supervised models, while Random Forest feature importance shows that total dissolved solids and electrical conductivity are the most dominant parameters. The results should be interpreted as cluster label based risk pattern classification, not as official pollution status prediction. The novelty of this study lies in integrating cluster-derived labels, supervised classification, and feature-importance analysis for unlabeled water-quality data, while the findings highlight the practical importance of total dissolved solids and electrical conductivity in preliminary water-quality monitoring.
PREDICTING PUBLIC ACCEPTANCE OF BIOTECHNOLOGICAL CROPS USING MACHINE LEARNING: DIGITAL INFORMATION EXPOSURE AND SUSTAINABILITY Purnamadewi, Yeti Lis; Syahwani, Asty Khairi Inayah; Tanjung, Dahri; Ayuningtyas, Gilang
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57233

Abstract

The development of biotechnological crops plays a significant role in enhancing food security and sustainability in tropical regions. However, public acceptance remains a major challenge, particularly in the context of rapid digital information dissemination. This study aims to predict public acceptance of biotechnological products by integrating socio-cognitive factors such as knowledge, perception, digital information exposure, trust, and sustainability awareness. A cross-sectional survey employing purposive sampling was conducted with 500 respondents, drawn from diverse stakeholder groups including academics, government officials, entrepreneurs, farmers, and students. Data were analyzed using a machine learning approach comprising logistic regression, Random Forest, Gradient Boosting, and XGBoost algorithms, evaluated against metrics of accuracy, precision, recall, F1-score, and AUC-ROC. The results show that approximately 70% of respondents have limited knowledge of biotechnology, while about 75% agree that biotechnology can improve agricultural productivity, economic conditions, and food security. Furthermore, 76% of respondents indicate willingness to purchase biotechnological products. The predictive analysis reveals that knowledge and perception are key determinants of acceptance, while digital information exposure and sustainability awareness further strengthen positive attitudes. Individuals with greater access to reliable information tend to exhibit higher trust and a stronger likelihood of purchasing biotechnological products. These findings highlight the importance of strengthening digital communication strategies and sustainability narratives to improve public understanding and acceptance. This study contributes to tropical bioresource research by supporting data-driven decision-making within the One Health and sustainable agriculture framework.
FISCAL EQUALIZATION WITHOUT CONVERGENCE: DYNAMIC PANEL AND DID EVIDENCE ON AN EAST–WEST CORE–PERIPHERY DIVIDE Ahmad, Ahmad; Armawaddin, Muhamad; Mustam, Mustam
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57289

Abstract

A central puzzle in fiscal federalism is why large intergovernmental transfers and public investment can coexist with persistent spatial inequality. This study tests whether fiscal policy has differential effects on provincial inequality across Indonesia’s east–west core–periphery divide. We compile a balanced province–year panel of 33 provinces over 2010–2024 (N = 495) from official fiscal and socioeconomic statistics and apply two complementary strategies: (i) dynamic System GMM with region–fiscal interaction terms to address inequality persistence and potential endogeneity of fiscal variables, and (ii) a difference-in-differences design treating the post-2015 fiscal expansion as a quasi-experiment. Descriptive comparisons show statistically significant east–west disparities in inequality, poverty, GRDP, and human development. In dynamic models, inequality is highly persistent (preferred ρ = 0.8456), while capital expenditure, fiscal transfers, and their interaction terms with the Eastern indicator are statistically insignificant across five GMM specifications. Difference-in-differences estimates likewise show no differential post-2015 inequality reduction in Eastern provinces (λ ≈ −0.005; p ≈ 0.51–0.55). The novelty is a joint, region-heterogeneity test under dynamic identification combined with a policy-timing validation. The results imply that measurable fiscal equalization may depend on implementation capacity, spending composition, and longer adjustment horizons than annual provincial aggregates can capture.
WHATSAPP VS PUSH NOTIFICATIONS: UNLOCKING E-GROCERY AFFILIATE PERFORMANCE WITH OPTIMAL STRATEGIC TIMING Laksmi, Indriana; Sumarwan, Ujang; Munandar, Jono M
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.57382

Abstract

This study aims to examine the effect of communication media type and delivery timing on user engagement and behavioral conversion within an e-grocery affiliate program. The research identifies a critical gap in existing literature regarding the comparative effectiveness of personalized external triggers (WhatsApp Blast) versus in-app alerts (Push Notifications) for the domestic housewife segment. The study was conducted using a sample of 500 active female consumers in the "mom and baby" segment of Platform Y in Jakarta during 2025. The analysis method used in this study is Two-Way Analysis of Variance (ANOVA) to test the main and interaction effects between variables. The results indicate that delivery timing (X2) has a significant effect on both engagement (Total Clicks) and conversion (Total Applied), where evening (PM) delivery consistently outperforms morning (AM) delivery due to higher temporal congruence with user leisure time. Communication media type also shows a significant effect, with WhatsApp Blast generating higher conversion performance compared to Push Notifications, confirming that media richness is essential for high-commitment actions. Furthermore, the combination of WhatsApp Blast and Push Notifications produces the most optimal performance. The policy and managerial implications of this study suggest a strategic shift toward evening-based multi-channel communication to maximize affiliate participation and marketing ROI.
FUNCTIONAL MULTILINGUALISM IN DIGITAL LINGUISTIC LANDSCAPES: NEGOTIATING ISLAMIC IDENTITY AND GLOBAL ENGAGEMENT Faridah, Faridah; Fitria, Hilyati; Nasution, Sahkholid; Fithriani, Rahmah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 4 (2026): Volume 10, Nomor 4, August 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The digital linguistic landscape of university websites has become an important site for examining how multilingual practices reflect institutional identity and globalization. However, limited attention has been given to how multilingual language choices simultaneously negotiate Islamic identity and global engagement within digital environments. This study aims to examine how Indonesian, Arabic, and English are strategically employed in university websites to construct institutional identity and support internationalization. A qualitative research design was adopted using Critical Discourse Analysis (CDA). The data comprised 29 official State Islamic University websites selected through purposive sampling based on institutional status and multilingual accessibility. Secondary data were collected from publicly accessible website pages and analyzed through descriptive categorization, percentage analysis, thematic interpretation, and CDA to identify multilingual patterns and their underlying ideological meanings. The findings reveal that only a limited number of websites consistently implement Indonesian, Arabic, and English. English predominantly functions as the language of internationalization and global communication, whereas Arabic is primarily employed as a symbolic marker of Islamic identity and is implemented inconsistently across website content. The study introduces the concept of functional multilingualism, demonstrating that different languages perform complementary institutional roles rather than equal communicative functions in digital environments. These findings suggest that university websites serve as ideological spaces where institutional identity and globalization are continuously negotiated. The study contributes to digital linguistic landscape scholarship by extending linguistic landscape research beyond language distribution toward ideological interpretation and offers practical implications for developing coherent multilingual language policies that balance international visibility with institutional identity.

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