cover
Contact Name
Mochamad Sulaiman
Contact Email
m.sulaiman@uniramalang.ac.id
Phone
+6282331527189
Journal Mail Official
m.sulaiman@uniramalang.ac.id
Editorial Address
Fakultas Sains dan Teknologi Universitas Islam Raden Rahmat Malang Jl. Raya Mojosari 02 Kepanjen-Malang
Location
Kota malang,
Jawa timur
INDONESIA
G-Tech : Jurnal Teknologi Terapan
ISSN : 25808737     EISSN : 2623064X     DOI : -
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.
Articles 897 Documents
Analysis of Cooling Energy Efficiency in Optimizing the Façade Design of the Emergency Unit of RSUD Ar Rozy Kota Probolinggo Ghina Nabiel Sukma; Dian Ariestadi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8259

Abstract

Electricity consumption in Indonesia has been rising at an average rate of approximately 5% per year, with commercial buildings particularly hospitals accounting for about 23% of this demand. As a continuously operating healthcare facility, RSUD Ar Rozy Kota Probolinggo exhibits substantial cooling energy requirements. Previous studies have shown that approximately 63.9% of hospital energy consumption is attributed to cooling systems, while building façades contribute between 20–50% of total energy use and 50–60% of overall heat gain. This study aims to evaluate the existing façade design of the emergency unit at RSUD Ar Rozy Kota Probolinggo, to identify strategies that can effectively reduce cooling energy consumption. A quantitative approach was employed using computational simulations through the EDGE Buildings software. The analysis involved assessing the energy efficiency of various design modifications, including adjustments to the WWR, the addition of sun shading elements, and the implementation of energy-efficient glazing materials. The results revealed that a façade configuration consisting of a 25.28% WWR, an overhang with an AASF of 0.42, and Stopray Vision 38T glass achieved a reduction in cooling energy consumption of 44.28%, equivalent to 20,680 kWh per month compared to the existing design. This configuration successfully met the EDGE Buildings energy efficiency criteria, achieving total energy savings of 28.74%. Therefore, the proposed façade design is recommended as an optimal retrofit solution to enhance energy efficiency and promote sustainable hospital building design.
Aggregate Analysis of Packaging Machine Effectiveness Using the OEE Method at PT. XYZ Satria Bagus Aji; Siti Rahayu; Adi Fitra; Syarah Rizkia Feriaty; Tri Ngudi Wiyatno
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8289

Abstract

In today’s competitive manufacturing industry, maintaining high production efficiency and minimizing machine downtime are critical challenges, particularly in the food sector. This study aims to analyze the effectiveness of ten CBP product packaging machines at PT. XYZ using the Overall Equipment Effectiveness (OEE) method. The research employs a quantitative approach based on primary data collected through direct observation and interviews. The OEE method measures machine performance through three indicators: Availability, Performance, and Quality. The results show that the average OEE value from October to December 2023 is 94%, exceeding the world-class standard of 85%. The dominant loss affecting effectiveness was Equipment Failure Losses (50%), followed by Rework and Defect Losses (22% each). These losses are primarily caused by machine wear, material issues, and operator handling errors. The findings indicate that the OEE method serves as an effective tool for monitoring production efficiency and planning preventive maintenance. Regular operator evaluations and standardized maintenance procedures are recommended to sustain high equipment performance levels.
Design and Implementation of a Loan Information System at the North Lampung BKKBN Office Anggun Rahmawati; Hartono Hartono
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8304

Abstract

This study addresses the lack of automation in government loan management systems, which has led to inefficiencies such as delayed service, data entry errors, and difficulties in tracking borrowed items. To overcome these challenges, this research aims to design and implement a web-based goods borrowing information system for the BKKBN Office of North Lampung. The system was developed using the Waterfall methodology and adopts the Model-View-Controller (MVC) architectural pattern. It includes key features such as inventory management, user authentication, borrowing request submission, administrative verification, transaction reporting, and real-time status notifications. System evaluation through Black Box and User Acceptance Testing demonstrated that all features operated effectively and reliably, handling 234 inventory records across eight active users. The results indicate that the proposed system enhances administrative efficiency, transparency, and data accuracy, making it suitable for practical implementation and future development with features such as email notifications or QR-code integration.
Impact of Preprocessing on Indonesian Extractive Summarization Using LexRank, TextRank, DivRank, and Cosine Similarity Andri Setiawan; Zainal Abidin; Mochamad Imamudin
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8306

Abstract

Extractive text summarization is a fundamental approach to tackle information overload, yet its quality is highly dependent on the pre-processing stage. Despite its crucial role, there is no consensus on the most optimal pre-processing scenario for the Indonesian language, which has a complex morphological structure. This study aims to fill this research gap by systematically analyzing the impact of seven pre-processing scenarios on four summarization methods: three graph-based methods (LexRank, TextRank, DivRank) and one topic-relevance method (Cosine Similarity against the title). Using a corpus of 3,000 Indonesian news articles and ROUGE evaluation metrics, the results show two key findings. First, the Cosine Similarity method significantly outperforms all graph-based methods, achieving the highest F1-Measure scores on ROUGE-1 (0.5073), ROUGE-2 (0.4018), and ROUGE-L (0.4574), which emphasizes the important role of the title in news texts. Second, a comprehensive pre-processing scenario involving Case Folding, Punctuation Removal, Tokenization, Normalization, Negation Handling, Stopword Removal and Stemming proves to be the most effective in improving the performance of all algorithms. These findings provide empirical evidence and practical recommendations that the combination of a title-relevancy approach with proper text normalization is the most effective strategy for optimizing extractive text summarization for the Indonesian language.
Sustainable Analysis of Calophyllum Inophyllum Oil for Eco-Friendly Green Lubricants as an Alternative to Mineral Oils Kiki Darmawan; Novan Habiburrohman; Mudrikah Mudrikah; Mohammad Na’im Humam; Bagus Sriwijaya; Luchyto Chandra Permadi; Farisan Robbani; Mojibur Rohman
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8231

Abstract

Calophyllum Inophyllum (nyamplung) Oil is recognized as a promising non-edible vegetable oil for the development of sustainable green energy lubricants. This study aims to improve the physicochemical characteristics of nyamplung oil through a two-step transesterification followed by esterification using trimethylolpropane (TMP), and to assess its tribological performance. The refined oil exhibited a flash point of 212 °C (ASTM D92) and a pour point of 8 °C (ASTM D97), indicating excellent thermal and flow stability. The kinematic viscosity was 38.3 cSt (ASTM D445) and the density 0.88 g/cm³ (ASTM D4052), both within industrial lubricant standards. The acid value decreased markedly from 36.5 to 1.62 mg KOH/g, while the iodine value (0.006 g I₂/100 g) and peroxide value (0.23 Meq/kg) demonstrated chemical stability. FTIR analysis confirmed the formation of ester functional groups, and GC–MS results showed a balanced distribution of saturated and unsaturated fatty acids. Overall, the modified Calophyllum Inophyllum Oil fulfills key technical criteria for eco-friendly green energy lubricants and shows strong potential as a renewable alternative to conventional mineral-based lubricants in industrial applications. Nevertheless, its crude form presents several drawbacks, including high acid and peroxide values as well as poor oxidative stability.
Integrative Research and Learning Model Using a Laboratory-Scale Solar Power Plant Prototype for Vocational Education Sutoko; Moh. Sulhan; Bakti Indra Kurniawan
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8309

Abstract

Photovoltaic system is an object for growing research since the trend of worldwide energy sources is shifting into renewable ones, especially in tropical regions where solar irradiance reaches optimum throughout the year. However, the implementation of this type of energy source faces a lot of challenges, including complexity in installation and requirement of deep understanding in solar energy conversion. This research is focused on implementing a prototype of photovoltaic system for supporting and improving learning process, particularly in vocational education institutions. By using an easy-to-understand photovoltaic system prototype, it is expected to improve the learning process for vocational students, which eventually makes high-capable human resources to implement the photovoltaic systems. This prototype is proven for increasing lecturer effectiveness in supervising student practices in vocational education institutions, by achieving Likert scale of 4.32 on student perception questionnaire conducted soon after obtaining the results of the technical quantitative measurements.
Development of a Web-Based Laundry Information System with Customer Self-Service Using the Rapid Application Development Method Kevin Alexander Soewandi; Alexander Wirapraja; David Saputra Octadianto Soedargo
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8334

Abstract

The development of information technology has encouraged various business sectors to digitize their service processes, including the laundry sector. However, Holly Jolly Laundry still uses a manual transaction recording system that has the potential to cause service delays, recording errors, and difficulties in managing customer data. This condition has an impact on low operational efficiency and decreased customer satisfaction levels. Based on these problems, this study aims to design and develop a web-based laundry transaction information system equipped with a self-service feature that allows customers to place orders independently while reducing the potential for recording errors by the admin. The system development method used is Rapid Application Development (RAD), which emphasizes the speed of prototyping and active user involvement in every stage of development, including requirements planning, user design, construction, and cutover. The results show that the developed system is able to accelerate the ordering process, improve the accuracy of transaction recording, and facilitate the admin in managing service data in a more structured and efficient manner. In addition, the self-service feature allows customers to input data directly, thereby reducing the admin's workload and minimizing input errors. Thus, the resulting information system is proven to improve operational efficiency, transaction data accuracy, and service quality at Holly Jolly Laundry.
Participatory Design Model for Community-Based Rooftop Urban Farming Muhammad Mutammam Musthofa; Ronalmanto Ronalmanto; Listhia Dwi Orisavianti; Indrika Dwi Febianti
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8356

Abstract

Rapid urbanization demands innovative approaches to overcome spatial limitations and enhance urban food security, positioning rooftop urban farming as a strategic and sustainable solution. Yet, the long-term success of such initiatives is frequently constrained by social and managerial challenges. This study proposes an optimized Participatory Design Model to strengthen both technical sustainability and community ownership in rooftop urban farming. Adopting a qualitative approach within a Participatory Action Research (PAR) framework, data were collected through Focus Group Discussions (FGDs). The analysis synthesized user driven priorities into a design model that emphasizes reducing maintenance burdens and enhancing social utility. Key strategies include the selection of planting systems with high operational simplicity specifically a combination of hydroponic and soil based media and the incorporation of design elements that facilitate community engagement and interaction. The findings underscore that co-creation is fundamental to developing resilient, user centered rooftop farming systems that minimize maintenance challenges while reinforcing long-term community commitment.
Classification of Mosque Typology Based on Distribution and Quantity Using K-Means Clustering in Indonesia Wahyu Hendriansyah; Mohammad Zainuddin
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8371

Abstract

The objective of this study is to classify mosque typologies in Indonesia based on their quantity and spatial distribution using the K-Means Clustering algorithm. The dataset was obtained from the official website of the Ministry of Religious Affairs of the Republic of Indonesia and comprises the number of registered mosques across 34 provinces for the 2019–2023 period. The preprocessing procedures included data cleaning, provincial-level aggregation, and annual normalization to ensure consistency and comparability. The optimal number of clusters was determined through the Elbow Method, yielding three provincial categories (high, medium, and low) based on mosque density, referring to the total mosques recorded in each province. Centroid analysis revealed clear quantitative disparities among the clusters, while the spatial visualization showed a distinct geographical pattern in which western provinces such as West Java, Central Java, and East Java exhibited significantly higher mosque counts compared to eastern provinces such as Papua, Maluku, and East Nusa Tenggara. Collectively, these findings provide a rigorous, data-driven depiction of mosque distribution in Indonesia and offer a substantive foundation for advancing more equitable and sustainable religious infrastructure planning.
Leakage Detection System in Water Pipeline Distribution Simulator Using Point Pressure Analysis Method Alfin Sahrin; Wildan Rafsanjani; Chalidia Hamdani
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8372

Abstract

Water leakage in pipeline networks leads to significant non-revenue water losses, often exceeding 30% in various regions. This study aims to develop an innovative leakage detection system using the Point Pressure Analysis (PPA) method integrated with Internet of Things (IoT) technology. The objective is to accurately detect the location and estimate the volume of leakage in real time. A prototype pipeline system was constructed using PVC pipes, equipped with three pressure sensors and two flow rate sensors. Data were collected using a NodeMCU ESP8266 and transmitted to the Blynk (mobile) and LabVIEW (PC) platforms. Leak simulations were performed were conducted by varying valve openings at 10°, 30°, 60°, and 90°, resulting in pressure drops from 55 kPa (no leak) to 48 kPa, 40 kPa, 34 kPa, and 29 kPa respectively. The system successfully detected leakage locations with 98.3% accuracy and estimated leakage volume with an average error of 3.2%, demonstrating its effectiveness and reliability for water monitoring applications.