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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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APPLYING ELECTRICAL RESISTIVITY TOMOGRAPHY FOR AGRICULTURAL LAND ASSESSMENT TO SUPPORT CROP SELECTION: A CASE STUDY IN RUMAH TIGA VILLAGE, MALUKU Parnadi, Wahyudi Widyatmoko; Tuhumury, Grace; Bahri, Samsul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 1 (2026): Volume 10, Nomor 1, February 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i1.53386

Abstract

The declining productivity of the agricultural sector in Maluku Province poses a serious challenge, partly due to the limited availability of scientific data on agricultural land characteristics to support precision agriculture. This study aimed to develop a subsurface resistivity model and evaluate farmland suitability in Rumah Tiga Village, Ambon Island, Maluku. Electrical Resistivity Tomography (ERT) with the Wenner configuration was applied along eight survey lines, supported by laboratory analyses of porosity, water content, specific gravity, soil texture, and pH. The modelling results revealed three major resistivity zones: water-saturated clay (<20 Ωm), sandy gravel (20–33.8 Ωm), and boulders (>70 Ωm). The distribution map of soil parameters showed significant spatial variability, and further analysis demonstrated clear relationships between resistivity data and soil physical properties. Land suitability evaluation identified three classifications based on crop water requirements, covering a total area of 6,684 m²: Area I (46.72%, 3,123 m²), suitable for crops with high water demand such as rice and leafy vegetables; Area II (23.78%, 1,971 m²), suitable for crops with medium water demand such as tomatoes, chillies, and corn; and Area III (29.50%, 1,590 m²), suitable for crops with low water demand such as tubers and legumes. This research provides a scientific basis for sustainable agricultural planning and the implementation of precision agriculture in Ambon and its surrounding areas.
THE RELATIONSHIP BETWEEN CLIMATE VARIABILITY AND INFANT DIARRHEA IN A COASTAL AREA OF JAKARTA Dharmayanti, Ika; Purwana, Rachmadhi; Tjandrarini, Dwi Hapsari; Soesilo, Tri Edhi Budhi
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 1 (2026): Volume 10, Nomor 1, February 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i1.53419

Abstract

This study examines climatic patterns and the delayed relationship between climate factors and diarrheal cases in this age group. This ecological panel study uses secondary data on monthly diarrhea cases in Penjaringan Subdistrict, North Jakarta, Indonesia. Diarrhea cases obtained from the DKI Jakarta Provincial Health Office between 2013 and 2024 (144 months). Climate factors included temperature, rainfall, relative humidity, and El Niño–Southern Oscillation (ENSO) index. The analysis of climatic patterns was examined descriptively. Associations were analyzed using a negative binomial mixed-effects model with distributed lags to account for delayed effects and spatial heterogeneity. The results indicate that infant diarrhea cases varied significantly by season. An increase of 1°C in temperature at lag 1 increased the case rate by 35% (IRR = 1.35; p = 0.038). Rainfall at lags 0 and 1 showed a small but substantial positive relationship with diarrhea. Higher relative humidity was associated with a lower risk, while ENSO conditions were positively associated with diarrhea. The study found that local meteorological conditions and large-scale climate variability influence the incidence of infant diarrhea in coastal areas. The novelty of this study lies in integrating a distributed lag model with ENSO effects on vulnerable populations. These findings support the development of climate-sensitive monitoring and early warning systems, and strengthening water, sanitation, and hygiene interventions during periods of high climate risk may help reduce the burden of diarrheal disease among high-risk groups.
INTEGRATING BLENDED LEARNING INTO A GENRE-BASED APPROACH TO TEACHING ACADEMIC WRITING Sufiyandi, Sufiyandi; Emilia, Emi; Damayanti, Ika Lestari; Mukminin, Amirul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 1 (2026): Volume 10, Nomor 1, February 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i1.53470

Abstract

The Genre-Based Approach (GBA) has been widely reported as an effective framework for teaching writing; however, its implementation through the teaching cycle in blended learning environments remains underexplored. This study aims to investigate how the genre-based teaching cycle is implemented in teaching writing through blended learning and how it contributes to students’ academic writing development. A qualitative case study was conducted involving 30 students enrolled in a genre writing course at the English Language Department of a university in Indonesia. Data were collected through classroom observations, students’ reflective journals, and analyses of students’ written texts by comparing the diagnostic text to those written at the independent construction stage. The study revealed that teaching academic writing through GBA in a blended learning setting led to observable improvements in the teaching-learning process through GBA stages and in students’ academic writing in terms of genre, register, discourse, grammar, and graphic features. These findings show the value of integrating face-to-face and online learning within the genre-based teaching cycle to support academic writing development. The study also provides empirical insights into how GBA can be integrated into blended learning and offers useful guidance for academic writing instruction in higher education through technology-mediated pedagogy, with broader applicability as an instructional model for science-related study programs that require structured and discipline-specific academic texts.
SHIFTING LANDSCAPES: THE IMPACT OF GLOBAL PANDEMIC ON REGIONAL DEVELOPMENT DISPARITIES AND FISCAL RESILIENCE Gunawan, Gunawan; Juanda, Bambang; Pravitasari, Andrea Emma
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 1 (2026): Volume 10, Nomor 1, February 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i1.53466

Abstract

This study analyzes regional development disparities and fiscal resilience in West Java Province, Indonesia, from 2014 to 2024, specifically focusing on the disruptive impact of the COVID-19 pandemic. Using the Williamson Index and a decomposed Theil Index across four spatial lenses: metropolitan vs. non-metropolitan, north vs. south, development areas, and cities vs. regencies. The research evaluates inequality trends and their determinants through panel data regression (Random Effects Model) for the 2018–2024 period. Results reveal that regional inequality remains high, with the Williamson Index peaking at 0.710 during the pandemic in 2020 and stagnating thereafter. Theil Index decomposition shows that intra-regional (within-area) disparity is the primary contributor to total inequality. Regression analysis indicates that the Human Development Index (HDI) and Non-Physical Special Allocation Funds (DAK) significantly improve GRDP per capita, while population density and poverty rates act as structural barriers. A notable novelty is the identification of a "K-shaped" recovery and a labor market paradox where advanced regions experience jobless growth and educated unemployment. The study implies that West Java must reorient from growth-oriented to people-centered development, prioritizing equitable digital infrastructure and human capital to bridge the gap between industrial hubs and stagnant rural areas.
CHARACTERISTICS OF AIRBORNE MICROPLASTIC POLYMERS USING PASSIVE SAMPLING AND THE INFLUENCE OF METEOROLOGICAL CONDITIONS Sasmita, Aryo; Priyambada, Gunadi; Ikhsandi, Ahmad
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.v10i2.48104

Abstract

Tenayan Industrial Estate has various anthropogenic activities, including industrial and population-related activities. Many activities can affect the levels of pollutants in the air, including microplastics. Microplastics can be transported through the air by meteorological factors. This research examined the abundance of microplastic particles in ambient air around the Tenayan Industrial Estate, focusing on the types and kinds of microplastic polymers. The air sampling method employed was passive sampling, conducted at three locations: upwind, downwind, and center, carried out every 7 days for 28 days. Microscopical method to determine the amount of abundance, the classification of microplastic polymer types and types. Differential Scanning Calorimetry (DSC) tests were conducted to determine the type of plastic. The research results show that the upwind point has an average weekly microplastic abundance of 64.00 ± 39.53 particles/liter. The central point is the average abundance of 69,5 ± 31,38 particles/liter. The downwind point has the highest average microplastic abundance of 81 ± 60,86 particles/liter. The dominant form of microplastics is fiber, accounting for 60,7%. The Microplastic polymer types identified are polyvinyl chloride, polycarbonate, and polyamide. The results showed that microplastic abundance was influenced by meteorological factors, specifically wind speed. Downwind locations, which are residential areas, have the highest microplastic abundance, indicating accumulation rather than directional transport.
SYSTEMIC FAILURES IN LITHIUM-ION BATTERY FIRE FATALITIES: A CASE STUDY OF THE TERRA DRONE BUILDING Dawaman, Muhammad; Ismara, Ima; Mujiyono, Mujiyono
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.v10i2.52827

Abstract

This study analyzes a fatal fire incident at the six-story Terra Drone building in Jakarta, Indonesia, which resulted in 22 deaths due to toxic smoke inhalation. An instrumental case study, combined with root cause analysis, was employed, supported by international literature and a national regulatory review. The investigation found that the fire was triggered by the fall of a 30,000 mAh lithium polymer (LiPo) battery from a storage pile on the ground floor, initiating a thermal runaway event. The analysis identified six systemic safety management failures: absence of standard operating procedures for hazardous battery storage, lack of an occupational health and safety officer, inadequate safety training, absence of a designated storage facility, lack of fire protection systems (smoke detectors, alarms, and appropriate suppression media), and inadequate evacuation routes. The rapid release of toxic gases during Li-ion battery thermal runaway, combined with improper storage in a main evacuation path and the absence of passive and active fire protection, created a fatal scenario. The study recommends stronger regulatory enforcement, adoption of NFPA 855, multi-layer fire detection and suppression systems, and improved safety culture through training and routine audits.
QUALITY ENHANCHEMENT (TECHNICAL AND ECONOMICAL ASPECT) FOR POST-HARVEST PERISHABLE COMMODITIES WITH INDIRECT SOLAR DRYING SYSTEM Farahdiansari, Ardana Putri; Stighfarrinata, Rizky
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.v10i2.52986

Abstract

This study evaluated the performance of a closed solar drying system for perishable horticultural commodities, with chili (Capsicum frutescens) as the case study, considering both technical and economic aspects. Drying experiments were conducted in Tuban Regency, Indonesia, using 20 kg of fresh chili divided into two samples, dried for 12 hours to achieve a final moisture content of 15%. Technical performance was assessed by measuring moisture content reduction, drying rate, and Specific Energy Consumption (SEC), which was found to be 4.0 kWh/kg, indicating efficient energy use. Economically, the total daily production cost for 20 kg of fresh chili yielding 3 kg of dried chili was calculated at IDR 260,000, resulting in a unit cost of IDR 86,700/kg. Dried chili could be marketed at IDR 88,000–95,000/kg, providing potential daily profit and reducing postharvest losses. In comparison, selling fresh chili during peak harvest at reduced market prices (IDR 12,650/kg) with 15-30% spoilage resulted in a unit cost of IDR 16,579/kg and exposed farmers to financial losses. These results demonstrate that indirect solar drying not only improves product quality and energy efficiency but also serves as a viable postharvest strategy to mitigate economic risk, stabilize income, and add value for small- and medium-scale chili farmer.
REGULATION AND DIGITAL DISTURBANCE IN ACADEMIC PROCRASTINATION: EVIDENCE FROM A GENDER-INVARIANT STRUCTURAL MODEL Putri, Linda Indiyarti; Sa'idah, Nusrotus; Saefudin, Ahmad; Husna, Asma’ul; Farida, Yushinta Eka; Ghony, Aris Abdul
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.v10i2.53029

Abstract

Academic procrastination remains prevalent in higher education, and digitally saturated learning environments may amplify students’ task delays. This study aims to test an integrative structural model linking self-regulation and digital disturbance to academic procrastination and to examine whether the measurement model operates equivalently across gender. Using a quantitative ex post facto design, data were collected from 216 Indonesian undergraduate students via validated 5-point Likert instruments measuring self-regulation, digital disturbance, and academic procrastination. Structural Equation Modeling with maximum likelihood estimation was conducted, followed by multi-group confirmatory factor analysis to assess gender measurement invariance. Results showed that self-regulation negatively predicted academic procrastination (β = −0.290, p < .001), while digital disturbance positively predicted academic procrastination (β = 0.544, p < .001); self-regulation was also negatively associated with digital disturbance (β = −0.268, p = .002). The model explained 46.5% of the variance in academic procrastination (R² = 0.465). Measurement invariance testing supported equivalence up to the scalar level across gender, enabling unbiased cross-gender interpretation of the constructs. The novelty of this study lies in combining a digitally relevant predictor (digital disturbance) with gender-invariant measurement validation within a single SEM framework in an Indonesian undergraduate context. Practically, the findings imply that universities should strengthen students’ self-regulated learning while managing digital interruptions through attention-management training and instructional policies to reduce procrastination.
MODELING INDONESIA'S FOOD SECURITY INDEX USING SPATIAL ECONOMETRIC PANEL APPROACH Amelia, Dita; Suliyanto, Suliyanto; Aldawiyah, Najwa Khoir; Zhafira, Azizah Atsariyyah
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.v10i2.53267

Abstract

Food security is a pressing issue for economic stability and public well-being in Indonesia, where the 2020–2022 Food Security Index (FSI) remained at Priority 4 which indicate low provincial food security. This study examines the determinants of FSI across 34 provinces from 2020 to 2023 using a spatial panel approach to capture both temporal and spatial spillovers. Secondary data from the National Food Agency and the Central Statistics Agency (BPS) include poverty rate, electricity and clean water access, Desirable Dietary Pattern (DDP) score, per capita caloric intake, and mean years of schooling. Analysis employed panel regression and spatial-panel models particularly corporating the spatial fixed effects model. The SAR-FE model provided the best fit, with a significant positive spatiall ag coefficient. This study emphasizes that FSI in one province is influenced by neighboring provinces. These spillover effects highlight the interconnectedness of provincial food security and emphasizing that interventions in one region can affect adjacent areas. The combination of spatial and panel methodologies with individual fixed effects defines the novelty of this research. Such an approach, which is rarely utilized in the context of Indonesian food security, uncovers provincial-level spillover dynamics that previous studies relying solely on either spatial or panel frameworks tended to ignore. Findings provide actionable insights for coordinated regional policies and contribute to Sustainable Development Goal 2 (Zero Hunger) by promoting more equitable food availability and accessibility.
STRENGTHENING STUDENT COMPETENCE THROUGH IN DEEP LEARNING TOWARDS THE ACHIEVEMENT OF PANCAWALUYA BASED CHARACTER Fahriansyah, Faisal; Santyasa, I Wayan; Agustini, Ketut; Suartama, I Kadek; Walidain, Birrul
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.v10i2.53310

Abstract

The development of student competence and character has become a central concern in contemporary education, particularly in responding to global challenges that require higher-order thinking skills and strong moral foundations. This study aims to examine how the deep learning approach contributes to strengthening student competence toward the achievement of Pancawaluya-based character values. The research employed a Systematic Literature Review (SLR) method guided by PRISMA procedures. Relevant literature was collected from academic databases such as Google Scholar, DOAJ, and Scopus using keywords related to deep learning, student competence, character education, and Pancawaluya. After a rigorous screening and eligibility process, 20 articles published within the last ten years were selected and synthesized for analysis. The results indicate that the deep learning approach significantly enhances higher-order cognitive skills, metacognitive awareness, critical thinking, collaboration, and reflective abilities. Furthermore, when integrated with Pancawaluya values cageur, bageur, bener, pinter, and singer the deep learning approach facilitates holistic character formation through authentic, contextual, and participatory learning experiences. The discussion highlights that meaningful engagement, reflective activities, and project-based collaboration are effective mechanisms for internalizing local cultural values within academic processes.The novelty of this study lies in conceptualizing the integration of the deep learning approach with the local wisdom framework of Pancawaluya as a comprehensive model for competence and character development. The findings imply that educators and policymakers should systematically embed culturally grounded character values into deep learning design to promote sustainable, holistic, and culturally responsive education.

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