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Mochamad Sulaiman
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G-Tech : Jurnal Teknologi Terapan
Published by Universitas Islam Raden Rahmat Malang
ISSN : 25808737     EISSN : 2623064X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering
Jurnal G-Tech bertujuan untuk mempublikasikan hasil penelitian asli dan review hasil penelitian tentang teknologi dan terapan pada ruang lingkup keteknikan meliputi teknik mesin, teknik elektro, teknik informatika, sistem informasi, agroteknologi, dll.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 929 Documents
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Effect of Fermentation Time and Lactobacillus plantarum Inoculum Concentration on Lactic Acid Production from Durian Peel Waste Nanda Yunita Pratiwi; Shintya Hotnauli Turnip; Sani Sani; Raka Selaksa Charisma Muchammad; Aisyah Alifatul Zahidah Rohmah; Suprihatin Suprihatin
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9425

Abstract

Lactic acid is an important chemical whose demand continues to increase every year. Therefore, alternative innovations are needed to meet this demand. One potential raw material that can be utilized is durian peel waste, which is high in cellulose and can be converted into reducing sugar through pretreatment and hydrolysis as a fermentation substrate to produce lactic acid. This study aims to determine the optimal conditions for fermentation time (5 hours; 6.5 hours; 8 hours; 9.5 hours and 11 hours) and Lactobacillus Plantarum inoculum concentration (5%, 10%, 15%, 20%, 25%) in producing high concentrations of lactic acid. The research was conducted through Alkali Hydrogen Peroxide (AHP) delignification, acid hydrolysis, and fermentation processes. The lactic acid content was analyzed using the acid-base titration method (Total Titratable Acidity). The results showed that the highest lactic acid content was obtained at a fermentation time of 11 hours with an inoculum concentration of 20%, which reached 0.135%. Thus, fermentation time and inoculum concentration affect the lactic acid content produced, and durian peel waste has the potential to be used as an alternative raw material in lactic acid production.
Analysis of Land Management Achievement Activities in the Reclamation Stage at PT. XYZ I Putu Putrawiyanta; Neny Fidayanti; Noveriady Noveriady; Novalisae Novalisae
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9426

Abstract

Land reclamation is a crucial effort to restore former mining land so that it can function ecologically and economically again. XYZ conducts reclamation activities to meet applicable regulatory standards, therefore an internal assessment is required first before reporting to the ministry. This study aims to analyze the achievements of land management activities at the reclamation stage in PT. XYZ. The research method used is quantitative descriptive, with data collected through field observation and document analysis. The results of the study show that PT. XYZ has reached 25% of the reclamation plan in the first phase, with land management activities running for ±2 months. However, this study also identified obstacles such as less fertile soil conditions and high rainfall, as well as the absence of erosion and water control buildings made by the company, even though they are included in the reclamation activity plan. One of the settlement options that need to be done to achieve optimal reclamation success is to increase tools and working hours at the reclamation activity site, considering that the success of reclamation is the basis for company reporting and the ministry's assessment of the sustainability of the company's activities.
Effect of CaO Ratio in Relation to (NH4)H2PO4 and Temperature on Hydroxyapatite from Shells Using The Hydrothermal Method Rizky Adhitya; Nadindra Putri Meylia Saskirana; Sani Sani; Yelvia Sunarti
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9448

Abstract

This study investigates the synthesis of hydroxyapatite (HA) from mussel shells using the hydrothermal method, focusing on the CaO to (NH₄)H₂PO₄ ratio and reaction temperature as critical parameters. Increasing seafood consumption in the Surabaya region has resulted in greater shell waste, necessitating the exploration of sustainable practices in utilizing this byproduct for bio-materials, particularly in bone implants. The research employs a hydrothermal approach due to its efficacy in controlling HA crystal morphology and enhancing crystallinity. Experimental findings indicate that the optimal yield of 69.64% occurs at a 1.7 Ca/P ratio and 96 °C, validating the importance of both parameters in achieving adequate material characteristics. XRF and XRD analyses confirm the synthesized HA's chemical composition and a high degree of crystallinity at 81.01%, exceeding the minimum requirements for biomedical applications. However, Ca/P ratios slightly above the standard range suggest incomplete reactions during synthesis. This study makes a new contribution by systematically evaluating the combined effects of the Ca/P precursor ratio and moderate hydrothermal temperature on the synthesis of hydroxyapatite derived from local shell waste in general. The results of this study demonstrate the potential of marine shell waste as a sustainable source of calcium for producing hydroxyapatite with high crystallinity suitable for biomaterial applications, thereby supporting the development of environmentally friendly biomaterials for medical use.
Implementation of Project-Based Learning Using Generative AI for Designing Environmental Research Posters Novfirman Novfirman; Nursamsi Nursamsi; Muhammad Syahfitra; Novi Yulanda Sari
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9449

Abstract

This study aims to analyze the effectiveness of Project-Based Learning (PBL) integrated with Generative Artificial Intelligence (AI) in improving students’ ability to design environmental research posters. The background of this study is the limited ability of students to present research data in a clear, structured, and visually engaging manner. The research applied two approaches: an adapted Waterfall model to guide the development of AI-assisted scientific posters, and a one-group pre-test and post-test design to measure learning effectiveness. The study involved 8 students from the Plantation Management Study Program. Data were collected through pre-test and post-test, poster assessment rubrics, and student perception questionnaires. The results showed a significant improvement in student performance, with the average score increasing from 32 to 78. Statistical analysis using the Wilcoxon Signed-Rank Test indicated a significant difference between pre-test and post-test scores (Z = -2.52; p = 0.012 < 0.05), confirming the effectiveness of the implemented learning model. Poster results showed good performance, while students reported positive perceptions of AI in usefulness, creativity, and motivation. These findings indicate that Generative AI in PBL improves data presentation and scientific communication skills.
Performance Analysis of an IoT-Based Smart Energy Meter for Real-Time Monitoring of Electrical Energy Consumption Farid Farid; Dewi Humeira Amriah; Muhammad Fathur Rahman Nur; Nurfitri Nurfitri; Muh. Erdin
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9455

Abstract

This study presents the performance analysis of an IoT-based Smart Energy Meter designed for real-time monitoring of electrical energy consumption. The system utilizes a NodeMCU ESP8266 microcontroller integrated with two PZEM-004T modules and PZCT-02 current sensors to measure voltage, current, power, and energy from multiple electrical loads. The measured data is transmitted to the Blynk platform, enabling real-time monitoring through a smartphone application. The performance of the system was evaluated by comparing the measurement results with a standard multimeter, resulting in average errors of 0.447% for voltage, 1.704% for current, and 1.844% for power, indicating good measurement accuracy. Experimental results under different load conditions show that higher power loads lead to significantly increased energy consumption and operational cost, where a 32 W load consumes approximately 0.038 kWh compared to 0.006 kWh for a 5 W load within the same duration. Overall, the system demonstrates reliable performance and provides an effective solution for real-time energy monitoring and management in household applications.
Application of Holt’s Double Exponential Smoothing for Electrical Energy Demand Forecasting in an Assembly and Welding Manufacturing Facility Harun Indra Kusuma; Yulizan Rizki; Bambang Darmono; Liza Mahera; Dita Aulia; Muhammad Tegar Irsyadi; Muhammad Zeinny Hasbunallah Sasmita; Ruli Haris; Femy Novalia
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9456

Abstract

This study aims to accurately forecast short-term electrical energy demand in a Jabodetabek industrial facility to support sustainable manufacturing and precise utility management. To address the highly dynamic and non-stationary nature of energy consumption, this research applied Holt’s Double Exponential Smoothing method. A 24-month historical dataset, spanning from January 2024 to December 2025, was analyzed to generate a six-month operational projection. Model performance was rigorously evaluated using Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). The forecasting demonstrated outstanding predictive accuracy, yielding a MAPE of 1.26%, a MAD of 20,79, and an MSE of 690.40. The projection indicates a consistent linear escalation, with energy demand expected to reach 2.020,72 MWh by mid-2026.These findings confirm that Holt’s algorithm effectively captures underlying linear trends without seasonal behaviors. Integrating this precise mathematical model into standard procedures provides crucial early warning signals for capacity planning, mitigates utility shortages, and strongly supports the strategic mandate of green operations.
Probabilistic Forecasting of M≥5.0 Earthquakes in East Java: A 30-Day LSTM Approach Using Seismic Feature Data Nanang Yulianto; Totok Chamidy; Mochamad Imamudin; Suhartono Suhartono; Muhammad Ainul Yaqin
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9504

Abstract

East Java is a seismically active region where short-term earthquake forecasting remains a critical yet challenging endeavor. While deterministic prediction is inherently unfeasible, probabilistic modeling offers a practical pathway for risk mitigation. This study develops a 30-day forward-window probabilistic forecasting model for M≥5.0 earthquakes in East Java using a Long Short-Term Memory (LSTM) network framed as a binary classification task. The model is trained on 25 years of seismic data (2001–2025) from BMKG Stasiun Geofisika Pasuruan. Twenty-five seismic features were rigorously selected through correlation analysis and data-leakage prevention protocols, while class imbalance was mitigated using adaptive loss weighting. The LSTM architecture was systematically optimized via sequential hyperparameter tuning and robust validation strategies. On a hold-out test set, the model achieved an AUC-ROC of 0.752, F1-score of 0.484, and recall of 0.673, indicating the model's capacity to detect impending seismic events with reasonable sensitivity. These results confirm that deep learning can effectively capture non-linear temporal patterns in seismic sequences. The primary contribution of this work is a validated, operationally ready probabilistic forecasting framework that can be integrated into regional earthquake monitoring systems, providing actionable lead time for disaster preparedness in East Java.
Regression Analysis of Human Resource Factors on Construction Project Performance in Malang City Rini Pebri Utari; Wahyu Izza Ramadhan
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9519

Abstract

The construction sector in Indonesia continues to grow rapidly, including in Malang City, where infrastructure and building projects are expanding significantly. Despite this growth, project success remains highly dependent on human resource performance. Previous studies have examined individual human resource factors; however, limited research has compared the dominant influence of multiple factors within a single model in regional contexts. This study aims to analyze the influence of competence, motivation, loyalty, and work discipline on construction worker performance in Malang City and to identify the most dominant factor. A quantitative approach was employed using primary data from 88 construction workers collected through structured questionnaires and analyzed using multiple linear regression. The results show that all variables have a significant and positive effect on worker performance, with a coefficient of determination (R²) of 0.653, indicating that 65.3% of performance variation is explained by the model. Competence is the most dominant factor (β = 0.907), followed by work discipline (β = 0.653), motivation (β = 0.558), and loyalty (β = 0.511). These findings highlight the importance of technical skills in improving productivity and supporting sustainable construction practices. This study provides empirical evidence and practical insights for improving workforce management and project performance.
Implementation of the GDLC Method in Developing RPG Educational Games to Improve Student Learning Outcomes in the Introduction of the 25 Prophets Makmun ZA; Ronal Yulyanto Suladi; Neng Linda Badratul Laela; Fiqih Hana Saputri; Rudi Setiyanto
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9559

Abstract

Learning media innovation is rapidly evolving alongside digital technology, particularly through the use of educational games. This study aims to develop and evaluate an interactive RPG-based educational game to introduce the 25 Prophets to primary school students. The research employs the Game Development Life Cycle (GDLC) method, which systematically covers six phases: initiation, pre-production, production, testing, beta, and release. During these stages, the game was designed to integrate short stories, educational resources, and comprehension tests into an immersive RPG environment. The application was tested with students at SDN 3 Jati to measure its effectiveness. The results indicate a significant improvement in student learning outcomes; the average pre-test score of 55% rose to 85% in the post-test, reflecting a 30% increase in comprehension. Furthermore, user satisfaction surveys rated the application's usability and interface design as "Excellent." Consequently, this educational game serves as an innovative and effective alternative medium, providing a dynamic approach to religious education and character building in the digital age.

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