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Justek : Jurnal Sains Dan Teknologi
Published by Universitas Muhammadiyah Mataram
ISSN : 26205475     EISSN : 26205475     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Mathematics
Arjuna Subject : -
Articles 277 Documents
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Antihypercholesterolemic Activity of the Ethanol Extract Combination of Leaves Calotropis gigantea L. and Adenanthera pavonina L. Oktaviani, Galuh Anggun; Patricia, Gaby Ayu; Wijayanti, Cicik; Ngibad, Khoirul
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.36441

Abstract

Hypercholesterolemia is a significant risk factor for cardiovascular disease, and its prevalence continues to increase. Pharmacological therapy using statins is effective but may cause side effects when used long-term. Therefore, exploring natural ingredients as an alternative antihypercholesterolemic therapy is essential. This study aimed to evaluate the activity of a combination of ethanol extracts of Calotropis gigantea L. leaves and Adenanthera pavonina L. on the cholesterol levels of male mice induced with propylthiouracil (PTU). The study was conducted experimentally using a post-test-only control-group design with 36 male mice divided into six groups: negative control, positive control, drug control (simvastatin), and three treatment groups receiving extract combinations at doses of 14, 28, and 56 mg/g BW. The research stages included seven days of animal adaptation, induction of hypercholesterolemia with PTU for 14 days, administration of the extract combination at doses of 14, 28, and 56 mg/g BW for four days, and blood sampling for total cholesterol measurement using an automated chemical spectrophotometer. The results showed a significant increase in cholesterol levels in the positive control group, while simvastatin produced the most significant reduction. The extract combination gradually decreased cholesterol levels with increasing dose, with the highest dose approaching the effect of simvastatin. The paired t-test showed a p-value < 0.05, indicating significant differences between treatments. The combination of Calotropis gigantea L. and Adenanthera pavonina L. leaf extracts has potential as a herbal agent to support antihypercholesterolemic therapy.
Design and Development of an Immersive Game-Based Mandarin Language Learning Medium to Enhance Student Learning Motivation Arini, Nuskha Ilma
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.36074

Abstract

The rapid advancement of technology in the Industrial Revolution 4.0 era has driven innovation in education, particularly through the use of interactive digital learning media. This study aims to develop an immersive game-based learning media for Mandarin language instruction using the Roblox Studio platform to enhance students’ motivation and engagement in the learning process. The research employed a Research and Development (R&D) approach using the ADDIE model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The analysis phase identified that Mandarin learning tends to be monotonous and less engaging for students. Validation results from content experts reached 83% and media experts 81%, both categorized as good. User testing yielded 84%, while small-group and large-group trials achieved 88% and 85%, respectively, categorized as very high. The developed learning game integrates coin hunt and leaderboard features that effectively create an interactive and competitive learning experience. Overall, the findings indicate that the game-based learning media is feasible, engaging, and effective in improving students’ motivation and learning outcomes in Mandarin language courses within vocational higher education.
Mineral Content of Clay Soil and Coffee Husk Ash for Soil Stabilization Applications in Geotechnical Engineering Sabilla, Arissa; Muammar, Rajib; Juanda, Ari
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.35345

Abstract

This study aims to analyze the mineral composition of clay soil and coffee husk ash, as well as to evaluate the effect of coffee husk ash as a stabilizing agent for clay soil. The main problem addressed is the high plasticity of clay soil, which causes volume changes and reduces bearing capacity, making stabilization methods necessary. The research was conducted by collecting clay soil samples from Kebun Kurma Barbate, Aceh Besar, and coffee husk ash from Aceh Tengah. Mineral composition was analyzed using gravimetric, titrimetric, spectrophotometric, and AAS methods, while soil plasticity was examined through Atterberg limits and specific gravity tests. The results indicate that clay soil contains dominant Silica Oxide (SiO₂) at 42.99% and Aluminum Oxide (Al₂O₃) at 5.63%, contributing to its high plasticity. Meanwhile, coffee husk ash contains 8.30% SiO₂ and 5.22% Calcium Oxide (CaO), which play crucial roles in stabilization. The addition of 5– 25% coffee husk ash reduced the plasticity index from 38.42% to 34.29%, increased soil specific gravity from 2.587 g/cm³ to 2.690 g/cm³, and transformed soil classification from clay to silt. These findings confirm the potential of coffee husk ash as an effective, and sustainable stabilizing material for geotechnical engineering applications
Clustering of Data on Vegetable Crop Production in the City of Bandung Using the K-Means Algorithm Saputra, Ifano Rangga; Santoso, Cahyono Budy
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.35555

Abstract

Vegetable farming supports urban food security, and Bandung City is one of West Java's main horticultural centers. However, vegetable production remains unevenly distributed across its sub-districts. This study analyzes production patterns from 2018–2023 using the K-Means Clustering algorithm. The dataset includes 12 major commodities, and the analysis involves data preprocessing, determining the optimal number of clusters using the Elbow Method and Silhouette Score, applying K-Means, and visualizing results through heatmaps and PCA. The findings reveal three clusters: Cluster 0 dominated by potatoes and the "others" category; Cluster 1 dominated by kale; and Cluster 2 dominated by shallots and petsai. These patterns indicate concentrated and specialized production across specific sub-districts. The study concludes that K-Means effectively identifies multi-commodity production similarities and provides strategic insight for Business Intelligence applications in agricultural planning and policy development.
Analysis of Heavy Equipment Productivity in the Jalan Rel Kota Langsa Reconstruction Project Muammar, Rajib; Iqbal, Iqbal
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.35015

Abstract

The quality of the road produced during the reconstruction of Jalan Rel Kota Langsa is directly dependent on the materials used, the operators, and the application of heavy equipment. Errors in heavy equipment selection will lead to low productivity. This study aims to determine the productivity levels and the required duration for each piece of equipment to complete the Langsa City Road Reconstruction project. This research employs the Bina Marga method with a quantitative approach. The analysis results show that the productivity of heavy equipment for Aggregate Base Class A (LPA) work is as follows: dump trucks = 386.352 m³/day, motor graders = 617.143 m³/day, vibrator compactor rollers = 804.270 m³/day, and water tanks = 498 m³/day. For prime coat work: air compressors = 3486 m²/day and asphalt distributors = 647.089 liters/day. For Asphalt Concrete-Binder Course (AC-BC) work: dump trucks = 172.148 m³/day, asphalt finishers = 804.270 tons/day, tandem rollers = 401.017 m³/day, and pneumatic tire rollers = 365.776 m³/day. The duration required for heavy equipment execution is 2 days for LPA work, 1 day for prime coat work, and 2 days for AC-BC work.
A Study of Pumice as a Geo-Paving Material Swahip, Swahip; Fathoni, Ahmad; Alpiana, Alpiana
Justek : Jurnal Sains dan Teknologi Vol 8, No 4 (2025): December
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i4.36563

Abstract

This study aims to evaluate the characteristics of pumice as a substitute aggregate material for producing lighter, more economical, and environmentally friendly geo-paving. The research method includes literature review and laboratory testing focused on bulk density and mechanical performance of pumice-based paving blocks with three composition variations: 20%, 40%, and 60%. The results indicate that pumice from Pemepek Village has an average density of 0.72 g/cm³ and can reduce paving weight by 15–45% compared to conventional paving, although compressive strength decreases as pumice content increases. Overall, compositions containing 20–40% pumice are considered the most optimal in delivering well-performing paving blocks with higher ecological and economic value.
Effectiveness of AI-Based Smart Agriculture Innovation Communication Through the Agrimind Application in Increasing Young Generation’s Interest in Farming Rifky, Mohammad; Purwati, Eli; Tricana, Deny Wahyu; Mehmood, Saba; Raza, Wasim
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37787

Abstract

The low interest among the younger generation in entering the agricultural sector, as well as the challenges of farmer succession in Indonesia, are the primary issues underlying this study. This study aims to analyze the effectiveness of communicating smart agriculture innovations based on artificial intelligence (AI) through the Agrimind application in increasing young people’s interest in the agricultural sector. This study employs a quantitative descriptive approach, with data collected via a questionnaire administered to 140 respondents from the younger generation in Ponorogo Regency. The collected data was subsequently processed using descriptive statistical analysis methods and tested for validity and reliability. The findings indicate that 70% of respondents support the implementation of modern technology and AI-based training for young farmers. Respondents believe that the use of the Agrimind application can help improve efficiency, attract the interest of young farmers, and strengthen collaboration between senior farmers and the younger generation who are tech-savvy. These findings demonstrate that AI-based agricultural innovation communication holds significant potential for transforming the younger generation’s perception of the agricultural sector, improving farmers’ work efficiency, and strengthening farmer succession in the digital era.
Utilization of ChatGPT and Artificial Intelligence in Educational Transformation: Trends, Challenges, and Effects on the Learning Process Rayadika, Bintang Fauzan; Saputro, Wahju Tjahjo; Chirzah, Dewi; Sain, Zohaib Hassan; Ambotang, Abdul Said Bin
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37606

Abstract

This study aims to identify and analyse the relationship between the level of student dependence on Artificial Intelligence (AI) applications, particularly ChatGPT, and its impact on their critical thinking skills, in line with educational transformation issues in the digital era. This quantitative research employed a convenience non-probability sampling approach, involving 112 student respondents in Indonesia. Data were analysed using reliability tests, normality tests, and the Paired Sample T-test. The findings indicate a high level of ChatGPT usage (Mean Score, M = 4.12), confirming students' enthusiasm for utilizing the tool for learning effectiveness and time efficiency. However, the statistical test revealed a significant difference between the level of ChatGPT usage and students' critical thinking ability (Sig. (2-tailed) = 0.009 < 0.05). This difference suggests that excessive reliance on the tool has the potential to impede the development of social and collaboration skills, and may significantly reduce students' learning independence and critical thinking ability. The study concludes that educational institutions must promptly formulate wise policies to guide students in optimally utilizing AI as a learning assistant, not as a substitute for the thinking process to ensure a balanced and sustainable educational transformation.
Exploring The Final-Year Undergraduate Research Related to TikTok, Study Motivation, and Data Mining: A Bibliometric Study Fitri, Sulidar; Prangjarote, Panyaporn; Kurubanjerdjit, Nilubon
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37012

Abstract

TikTok, as a short video-based platform, is now widely used by students to find learning motivation through content such as study tips, time management, and thesis experiences. This study aims to map the scientific literature that examines the relationship between TikTok, learning motivation, and data mining techniques in the context of final year students. The method used is bibliometric analysis with the Scopus database, covering publications between 2019 and 2025. The results showed a significant increase in publication trends in the last three years. India, the United States and China were recorded as the countries with the highest contributions on this topic. Articles with the highest citations tended to address the integration of learning technologies, the use of data mining, and the influence of social media on academic performance. Co-occurrence analysis revealed nine major thematic clusters that show close interrelationships between keywords such as student motivation, academic performance, and educational data mining. This research contributes to understanding the scientific landscape of TikTok utilization in supporting learning motivation and offers further research directions.
VLAN-Based Network Optimization as Mechanism of Improving Data Security and Performance Bafana, Fais Abubakar; Murhadi, Murhadi; Chirzah, Dewi; Yembuu, Batchuluun; Jali, Hasan
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37607

Abstract

Nowadays in the digital world, organizations like schools need strong network systems to help them work smoothly. Pondok Pesantren Darul Hikmah Kutoarjo Islamic School had some problems with its old network setup. These included data being shared between different parts of the school, too much broadcast traffic, and slower performance because of network conflicts. This study focuses on improving the network by using VLAN technology, which is simulated with Cisco Packet Tracer. The research uses a qualitative approach, including direct observation and reviewing existing literature. The findings show that VLANs can separate data traffic between different groups, like teachers, students, and visitors, without needing extra hardware. Testing the system showed big improvements in performance. The maximum delay went down from around 200 ms to just 10 ms, and the network became more stable by reducing jitter.

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