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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 426 Documents
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SUSTAINABLE COFFEE PRODUCTION: THE EFFECT OF SOCIAL NORMS, TRUSTS AND NETWORKS ON COFFEE FARMERS’ADOPTION BEHAVIOR IN LAMPUNG PROVINCE, INDONESIA Ali, Suprihatin; Wulandari, Christine; Endaryanto, Teguh; Budiono, Pitojo; Tugiono, Tugiono
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53341

Abstract

Sustainable coffee production is critical for ecological balance and livelihood resilience, yet adoption rates among smallholders remain variable. Although social capital is acknowledged as a key driver of agricultural sustainability, the distinct impacts of its constituent dimension’s norms, networks, and trust are insufficiently understood. This study aims to elucidate the differential influence of these social capital dimensions on sustainable production behavior among coffee farmers in Lampung Province, Indonesia. Employing a cross-sectional quantitative explanatory design, data were gathered via structured surveys from 250 coffee farmers selected through purposive sampling over a two-month period. Measurement instruments adapted from established scales underwent rigorous validation. The structural model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping to ensure robustness. Findings demonstrate that social norms and social networks exert significant positive effects on farmers' adoption of sustainable coffee practices. Conversely, social trust exhibits no direct statistical influence on behavior. The structural model explains a substantial proportion of behavioral variance and demonstrates adequate predictive relevance. This research offers novelty by empirically disentangling the multidimensional nature of social capital in agricultural contexts, challenging the prevailing assumption that all dimensions uniformly drive sustainability outcomes. Theoretically, it advances social capital literature by validating dimension-specific effects within agrarian settings. Practically, implications suggest that extension programs and policymakers should prioritize norm activation through respected community figures and strengthen peer-to-peer knowledge exchange networks. These levers prove more effective for behavioral change than generalized trust-building alone.
INTEGRATING AN LLM-BASED CYBERSECURITY CONSULTATION LAYER INTO A NATIONAL AWARENESS BENCHMARKING SYSTEM Hadiprakoso, Raden Budiarto; Dramaga, Rakhmat; Qomariasih, Nurul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53435

Abstract

This study integrates a large language model (LLM) consultation service into Indonesia’s national Cyber Security Awareness Survey (“Survei Kesadaran Keamanan Siber”/SKKS) to convert survey benchmarking into immediate, personalized cybersecurity remediation, and evaluates its safety, usability, and potential short-term proximal intention shift among Generation Z respondents. Using a two-phase, multi-method design, Phase I conducted a model-centric expert evaluation of LLM-generated recommendations across 20 standardized synthetic SKKS profiles, assessing relevance, accuracy, completeness, clarity, and safety. Phase II implemented a single-session within-subject study (N = 104) that measured post-interaction user experience and pre–post changes in security behavior intentions using an adapted Security Behavior Intentions Scale (SeBIS). Expert results showed consistently high ratings across dimensions (all means > 4.0/5) with no safety veto triggers and strong inter-rater reliability (ICC[2,k] = 0.82–1.00). Users reported positive experience (means ≈ 3.84–3.96/5), sustained engagement, and a significant increase in SeBIS total score (dz = 0.42), with the largest gains in password-management intentions. Novelty lies in embedding LLM-based, profile-driven consultation within a national-scale awareness survey and validating it through both expert human review and behavioral-intention measurement. Beyond cybersecurity, this work contributes to the broader literature on AI-mediated educational systems in safety-critical domains by demonstrating how adaptive dialogue systems can operationalize assessment-to-action loops and support scalable, human-centered personalization.
ARTIFICIAL INTELLIGENCE (AI) ASSISTED MULTIMODALITY IN DIGITAL CAMPAIGN TEXTS IN THE PRESIDENTIAL ELECTION Putri, Dian Marisha; Mulyadi, Mulyadi; Rangkuti, Rahmadsyah; Saragih, Amrin; Amri, Yusni Khairul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.42675

Abstract

This study examines the multimodality of verbal and visual modes in 2024 digital campaign texts combining linguistic approaches with artificial intelligence technology. Verbal mode analysis involves the use of multiple modes in discourse (Kress & Van Leeuwen, 2001). The use of AI helps identify patterns of visual-verbal relationships. The data and data sources are campaign texts for the 2024 General Election. Five social media platforms were used: WhatsApp, Facebook, Twitter, TikTok, and Instagram. Five online media platforms were selected: a) Detik.com, b) Kompas.com, c) Tribunnews.com, d) Liputan6.com, and e) cnbcindonesia.com. A total of 200 election texts were collected between May 2023 and February 2024. The collected data were qualitatively reviewed in the form of digital texts. The analysis results illustrate that AI-assisted multimodality in explaining the meaning of text in visual and verbal modes, such as: a) strengthening the meaning of the text. b) using a sarcastic style of language. c) The role of meaningful visual text has a relational nature: between illustrations and silhouettes, followed by the attributes of text as a material process. d) representing campaign text refers to how the semiotic system on objects and relationships outside the text and context, both directly and indirectly. The findings demonstrate that the visual language representing political campaign text serves as both an action and a reaction process, as well as a verbal and mental process, within the context of the situation.
POTENTIAL USE OF SHALLOTS SKIN EXTRACT AS SEED PRIMING TO INHIBIT DETERIORATION AND INCREASE VIABILITY OF SOYBEAN SEEDS Suryaman, Maman; Sunarya, Yaya
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53098

Abstract

Soybean seeds, compared to other grain crops, deteriorate quite quickly, lose its vigor and yield. Therefore, proper measures are required to enchance seeds viability and prevent deterioration. The study is to investigate the potential of shallot skin extract in enchancing viability and preventing deterioration of soybean seeds. A factorial completely randomized design that was duplicated three times was employed in the study. The first factor was concentration of shallots skin extract of 0, 10, 20, and 30%, and the second factor was soaking time of 1, 3, and 6 hours. Electric conductivity, seed viability, vigor index, germination rate, and dry weight of sprouts were the observed data that were subjected to Analysis of Variance and Duncan's multiple range test at α 5%. The results indicated that soaking the seeds in 10% shallot skin extract for six hours showed the lowest level of electric conductivity. Compared to the control, the simple effect of increasing the concentration of shallot skin extract by 10, 20, and 30% enhanced the dry weight of sprouts, germination rate, vigor index, and seed vigor.  In conclusion, soaking soybean seeds in shallot skin extract may preserve seed viability and prevent degradation, although the soaking time had no significanct effect on seed viability. The shallot skin extract can be used as seed priming agent to improve viability of soybean seeds affordable to the farmers.
MARKET ORIENTATION, INNOVATION, AND DIGITAL RESPONSIVENESS IN IMPROVING MARKETING PERFORMANCE OF CULINARY MSMES: A STUDY IN KUDUS REGENCY Arumsari, Nurul Rizka; Marka, Mira Meilia; Juwariyah, Nurul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53251

Abstract

This study examines how market orientation and innovation contribute to the marketing performance of culinary MSMEs in Kudus Regency, Indonesia, particularly in the context of increasing digital competition. A qualitative descriptive approach was employed. Data were collected through in-depth interviews, observation, and documentation involving 30 culinary MSME owners selected using purposive sampling. Data were analyzed using an interactive model consisting of data reduction, data display, and conclusion drawing to identify patterns linking market orientation, innovation practices, and marketing performance outcomes. The findings indicate that innovation in culinary MSMEs is predominantly incremental and customer-driven. Market orientation is implemented informally through relational closeness and digital responsiveness. The synergy between digital-responsive market orientation and micro-adaptive innovation significantly contributes to improved marketing performance, reflected in sales growth, customer retention, and market expansion. MSMEs should institutionalize simple market intelligence systems and enhance digital engagement strategies to strengthen innovation cycles. This study introduces the concept of micro-adaptive innovation triggered by digital-responsive market orientation in resource-constrained MSMEs, extending classical market orientation theory into informal and digitally fragmented markets.
FEAR-DRIVEN DECISION-MAKING IN CYBER RISK MANAGEMENT AND DIGITAL TRANSFORMATION OF BANKING: A SYSTEMATIC LITERATURE REVIEW Mataram, M Dedy Ompi; Mulyanti, Rita; Achmadi, Achmadi
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53556

Abstract

This study employs a Systematic Literature Review (SLR) approach to examine fear-driven decision-making in cyber risk management and digital transformation within the banking sector. The review follows the PRISMA framework and analyzes 25 peer-reviewed journal articles selected from Scopus and Web of Science databases published between 2020 and 2025. The findings reveal that fear operates as a latent psychological mechanism influencing strategic decision-making, particularly through risk amplification, regulatory pressure, and trust concerns. Fear-driven responses often lead to conservative strategies, delayed innovation, and excessive risk aversion, which may affect organizational resilience and governance effectiveness. This study contributes to the literature by explicitly conceptualizing fear as a central construct in cyber risk management and digital transformation, providing both theoretical insights and practical implications for banking institutions.
QRIS ADOPTION IN RELIGIOUS ORGANIZATIONS: EXTENDED UTAUT2 WITH GEOGRAPHIC MODERATION Munthe, Mei Hotma Mariati; Sijabat, Jadongan; Siahaan, Johan Putra Octavian
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53581

Abstract

This study examines the determinants of Quick Response Code Indonesian Standard (QRIS) mobile payment usage within religious organizations by applying an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The model integrates perceived risk, perceived security, and exposure to innovation, while testing geographic location as a moderating variable. Using a quantitative approach, a survey was conducted among 4,516 congregants of the Huria Kristen Batak Protestan (HKBP) Church across 32 districts in Indonesia, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The results indicate that performance expectancy, facilitating conditions, habit, perceived security, and exposure to innovation significantly influence QRIS usage, with habit emerging as the most dominant predictor. In contrast, effort expectancy and perceived risk do not show significant effects, suggesting that ease of use has become standardized and institutional trust mitigates perceived risk in this context. Geographic location significantly moderates the effects of effort expectancy, facilitating conditions, and habit, highlighting the role of regional digital infrastructure disparities. The model explains 74.7% of the variance in QRIS usage. This study contributes to the literature by extending UTAUT2 into a trust-based non-profit institutional context and introducing geographic moderation in digital payment adoption research, while providing practical insights for policymakers and religious institutions to design more inclusive and infrastructure-sensitive digital financial strategies.
PORTFOLIO OPTIMIZATION UNDER CARDINALITY CONSTRAINTS: A METAHEURISTIC MEAN-VARIANCE APPROACH Ihzza, Juwita Nur; Santoso, Noviyanti; Nafis, Moch Abdillah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53849

Abstract

The growing emphasis on sustainability in investment decisions necessitates portfolio optimization models that incorporate practical constraints, particularly asset cardinality. This study applies a Cardinality-Constrained Mean–Variance (CCMV) framework, which increases computational complexity due to the limited number of selected assets. To address this, two metaheuristic algorithms, namely Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) are implemented. Using data from 25 stocks observed between March and August 2025, the analysis includes asset screening based on the risk-free rate, portfolio optimization, and performance evaluation using expected return, risk, and the Sharpe ratio. PSO produces an optimal portfolio of 8 assets with a Sharpe ratio of 27.594%, while ABC selects 9 assets and achieves a slightly higher Sharpe ratio of 27.599%. Although the difference is marginal, ABC demonstrates superior computational efficiency. The findings highlight the effectiveness of metaheuristic approaches, particularly ABC, in solving constrained portfolio optimization problems.
ADAPTIVE MULTIRESOLUTION SEMIPARAMETRIC MODEL INTEGRATING TRUNCATED SPLINE AND WAVELET TO BALINESE VILLAGE CREDIT INSTITUTIONS (LPD) Mariati, Ni Putu Ayu Mirah; Sudiarsa, I Wayan; Kumalasari, Putu Diah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53877

Abstract

In this research, an adaptive multiresolution semiparametric regression approach is proposed to examine the financial performance of Lembaga Perkreditan Desa (LPD) in Bali, Indonesia. In the research, the problem that arises from the inadequacy of traditional regression techniques in accounting for the nonlinear pattern in the data and the financial instability is overcome by introducing the truncated spline and wavelet components into the semiparametric regression analysis.This research utilizes a quantitative method based on secondary financial information collected for 50 LPDs between 2015 and 2024, providing around 500 observations. In order to obtain a more consistent dataset, the purposive sampling method will be used. Return on Assets (ROA) is chosen as the dependent variable, and explanatory variables include interest rates, the number of customers, capital adequacy ratio (CAR), total assets, and non performing loans (NPL). The model will be estimated using the penalized least squares with iterative backfitting estimation technique and will be assessed using the RMSE, MAE, and R² criteria based on Kfold cross validation. As it can be seen from the results, the hybrid model significantly improves the predictive power of traditional linear and spline methods, providing smaller error rates and better fit quality. Spline functions help to determine long term trends, whereas wavelets capture short term effects. This shows that multiresolution modeling increases predictability and interpretability. The model has practical utility for financial management and regulation through adaptive risk management and decision-making processes in microfinance firms.
ANALYSIS OF THE TREND IN EXPORTS OF DRIED SEAWEED BY CV MESTA ALAM TO THE GLOBAL MARKET Markhamah, Siti; Sudarmiatin, Sudarmiatin; Pratikto, Heri
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53878

Abstract

This study aims to analyze the influence of seaweed production, exchange rates, and international prices on the export trend of CV Mesta Alam's dried seaweed to the global market. Indonesia as a maritime country has great potential in seaweed development, but national export trends show fluctuations. The study uses a quantitative approach with panel data regression analysis that combines time series data (2020-2024) and cross-section (three central provinces: East Java, NTT, and Southeast Sulawesi). The selection of the best model through the Chow and Lagrange Multiplier tests shows the Common Effect Model (CEM) as the most appropriate model. The results of the analysis prove that partially, seaweed production (X1) has a positive and significant effect on exports (t-count 2.747 > t-table, sig. 0.019). The exchange rate (X2) also has a positive and significant effect (t-count 3.026 > t-table, sig. 0.010). Meanwhile, international prices (X3) have no significant effect (t-count 0.246 < t-table, sig. 0.808). Simultaneously, the three variables significantly influence exports (F-count 6.303 > F-table, sig. 0.009). The Adjusted R Square value of 53.19% indicates that the production, exchange rate, and price variables are able to explain the variation in CV Mesta Alam's exports, while the remaining 46.81% is explained by other factors. This finding implies the need to increase production with guaranteed quality, utilize the momentum of Rupiah depreciation, and strengthen non-price competitiveness through certification and market diversification.

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