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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 897 Documents
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Analisis Metode CNN menggunakan Arsitektur Facenet dan VGG16 dalam Mengenali Wajah Penyandang Tunanetra Agung Budi Prastyo; Arief Setyanto
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6573

Abstract

Face recognition is a rapidly growing biometric technology, especially with the application of Convolutional Neural Networks (CNN) such as FaceNet and VGG16. This research aims to evaluate the effectiveness of both CNN models in recognizing the faces of visually impaired people, who face the challenge of limited vision in image retrieval. The research uses two face detection methods, namely MTCNN and HaarCascade, to analyze the effect of face detection on recognition accuracy. The experimental method was conducted by collecting facial data of visually impaired people under various lighting conditions and expressions. The results show that accurate face detection greatly affects the performance of face recognition models, with MTCNN providing better face detection results (93.75% detection accuracy) than HaarCascade (83.75% detection accuracy). Both models, FaceNet and VGG16, show excellent face recognition accuracy (100%) if the face image is correctly detected by MTCNN. Therefore, for face recognition of visually impaired people, it is recommended to use MTCNN as the face detection method, followed by FaceNet or VGG16 for face recognition.
Risk Analysis of the Fish Crackers Production Process Using FMEA and FTA Methods at CV. Tayamum K.A.M Moh. Abi Mas Walid; Hidayat Hidayat; Yanuar Pandu Negoro
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6578

Abstract

CV. Tayamum K.A.M is a small micro business that manages crackers made from various  sea fish. During the production process, the company often faces problems. This research was conducted to evaluate the performance of the production process using FMEA and FTA methods. The results of the FMEA calculation used to determine the severity level, occurrence level, detection level which later obtained the highest RPN value which is a cracked product that is not up to cuil with a total RPN of 697, FTA analysis shows the root causes of errors such as not re-checking, improper drying time and poor air circulation. After knowing the results of the root cause of the problem, an improvement proposal is given, namely rechecking the machine before use, paying attention to weather conditions when drying, and adding enough ventilation holes or blowers.
Optimization of Glucose Recovery from Saccharomyces cerevisiae Waste via Hydrolysis Using RSM Ubaidillah Bramantyo Esnandhik; Fatimah Azzahra; Ni Ketut Sari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6581

Abstract

The liquid waste resulting from the regeneration of Saccharomyces cerevisiae contains a significant amount of starch, which has the potential to be optimized for glucose production. This study aims to optimize glucose levels from the liquid waste using hydrolysis with the Response Surface Methodology (RSM). The tested variables include the volume of Saccharomyces cerevisiae regeneration liquid waste (mL): 300; 600; 900; 1200; and 1500, as well as water volume (mL): 200; 400; 600; 800; and 1000. RSM with a Central Composite Design (CCD) requires 13 experimental data combinations of variables. The hydrolysis results were analyzed using RSM to determine the effect of variables and their interactions on glucose content. Optimization of glucose levels using RSM resulted in an optimal glucose content of 23.5% at a liquid waste volume of 1378.79 mL and a water volume of 1.5238 mL, based on an analysis using Minitab 19 software. Glucose content testing from 25 data points showed the highest level at 27% for a liquid waste volume of 900 mL and a water volume of 600 mL, while spectrophotometry recorded a peak glucose content of 29.7% under the same variables. The findings of this study can be the basis for developing a more efficient hydrolysis process that produces glucose which can help industry to make waste processing methods more efficient and increase the added value of by-products.
Key Determinants of Technology Adoption in Construction Projects in Magelang Ety Fitriyani; Hulfa Istikomah; Abul Fida Ismaili; Bina Arumbinang Wajdi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6582

Abstract

The development of the construction sector in Indonesia is expected to increase annually.  Magelang had various large construction projects with a completion target of 2024. However, the use of construction technology in this region is limited resulting in delays in work, increased costs, and decreased quality. This study aims to identify, analyze, and rank factors influencing the use of technology in construction projects in Magelang based on their level of importance. Understanding those factors can help identify the right strategy to increase the wider and optimal adoption of technology in the construction sector for effective and efficient implementation. Data were collected by distributing questionnaires. The questionnaire consisted of 30 factors influencing the use of technology classified into three main categories: (1) human/workforce, (2) industry, and (3) management. This study found the first rank for each category, namely "lack of experience in using technology software" (human/labor category), "Availability of materials and ease of handling" (Industry category), and "Willingness of owners, supervisors, builders, and suppliers to participate in information management" (management category). Construction industry practitioners can utilize the findings of this study in developing systems to improve technological adoption in construction projects for more effective and efficient project implementation.
Analysis of Overcurrent Protection on Nuri Feeder of Yarmokh PLTD Due to Short Circuit Ekawati Margaretha Ohee; Yakobus Yakobus; Oktavianus Kati; Dultudes Mangopo
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6587

Abstract

Protection systems are security mechanisms designed to safeguard electrical equipment from technical malfunctions, natural disturbances, operational errors, and other causes. These systems serve as electrical safety measures in power systems installed in power distribution networks, power transformers, electric power transmission lines, and generators, all of which protect the electrical system from faults or overloads. This research aimed to determine the short-circuit current and the overcurrent relay settings for the Nuri feeder at PLTD Yarmork. The method employed in this study involved collecting primary data directly from the field through observation and load measurements on transformers and distribution network lengths, followed by manual calculations. The research findings indicated that the maximum short-circuit current resulting from a three-phase fault at a fault location of 0% along the feeder was 6978.448 A, while the minimum current at 100% was 2313.838 A. For two-phase faults, the maximum short-circuit current at 0% feeder length was 976043.513 A, and the minimum current at 100% feeder length was 2003.842 A. The calculated TMS settings were 0.147 for the outgoing side of the OCR and 0.270 for the incoming side. Overall, the computed settings for both the overcurrent and earth fault relays were aligned with the field settings.
ANALISIS TOTAL PRODUCTIVE MAINTANCE (TPM) MENGGUNAKAN METODE OEE DAN FMEA PADA MESIN PRODUKSI PUPUK DOLOMIT PLAN-2 DI PT. XYZ Dias Afiansyah; Efta Dhardikasari Priyana; Hidayat Hidayat
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6595

Abstract

There are several aspects that affect the company's top priority, namely the smooth production process, one of which is machine performance. At PT XYZ during the period January - June 2024 had high downtime caused by ineffective maintenance management, resulting in disruption of production flow and reducing overall productivity. The purpose of this study is to determine the value of machine effectiveness using the OEE method and determine the factors that cause obstruction of the production process. From the calculation results, the average OEE value was 47.70%, below the world-class standard of 85%. In addition, this study identified six major losses with the highest value being equipment failure losses with an average of 48.38%, FMEA analysis showed the highest RPN value of 441 on the machine factor with the failure mode occurring, namely the presence of foreign objects in the raw material entering the crusher machine can cause significant damage to machine components. To increase the effectiveness of production machines at PT. XYZ, corrective actions are needed in machine maintenance and labor vigilance.
Analisis Postur Kerja Pada Proses Pembuatan Besi Baja Bagian Drilling Dengan Metode Rula dan Reba di PT. RAVANA JAYA Danindra Dwi Maulana; Hidayat Hidayat; Efta Dhartikasari Priyana
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6600

Abstract

PT. Ravana Jaya is a general contractor working on steel fabrication and has several partners from small, medium, and large scale companies. Observations showed that workers reported complaints related to pain in several parts of the body in the upper neck, lower neck, back, and left and right shoulders with a percentage value of 85% in the location of pain complaints in the upper neck area. This research uses the RULA (Rapid Upper Limb Assessment) and REBA (Rapid Entire Body Assessment) methods. The results of the RULA and REBA scores in the punching process are 7 and 9 with a high risk category so that it is necessary to hold a work posture improvement solution by adjusting the height of the workstation and using an adjustable bench, using ergonomic tools such as drilling machines and material support tools to reduce physical loads, job rotation and regular breaks to prevent muscle fatigue. These improvements are not only beneficial for the health and well-being of workers, but also for the sustainability of company operations.
EVALUASI IMPLEMENTASI SISTEM E-LEARNING MENGGUNAKAN MODEL EVALUASI HOT FIT (STUDI KASUS UNIVERSITAS PAPUA) Richard William Osok; Julius Panda Putra Naibaho; Alex De Kweldju
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6601

Abstract

The advancement of information technology has significantly impacted education, particularly in the implementation of e-learning. Universitas Papua has adopted this system to enhance learning flexibility and efficiency. However, effectiveness depends on user adaptation and acceptance. This study evaluates the implementation of the e-learning system at UNIPA using the HOT-Fit evaluation model, which assesses Human, Organization, and Technology aspects. The research employs surveys and interviews with students and lecturers to measure user satisfaction, institutional support, and system quality. Findings indicate that technology, service, and information quality positively influence system usage and user satisfaction, ultimately contributing to system benefits. However, challenges remain, including infrastructure limitations and user adaptation issues that need improvement. This study provides valuable insights into the effectiveness of e-learning at UNIPA and offers recommendations for future system development. A comprehensive evaluation is essential to maximize benefits for students and institutions, ensuring accessible and high-quality education in the digital era.
Implementation of ABC and ROP Methods for Inventory Control of Mandatory Pharmacy Drugs Nur Izani Maulani; Selly Anastassia Amellia Kharis
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6613

Abstract

Grawira Farma Pharmacy in Kulon Progo manages Mandatory Pharmacy Drugs, which require strict regulation for self-medication. Managing the inventory of Mandatory Pharmacy Drugs is necessary to prevent shortages and stockouts. This study aims to analyze the planning and control of Mandatory Pharmacy Drugs inventory at Grawira Farma Pharmacy, using the Always Better Control (ABC) method for inventory planning, categorizing drugs into three groups. Group A consists of fast-moving drugs with 11 types (27.5%), accounting for 79.38% of total drug usage and an investment value of Rp 1,697,300.00, group B consists of moderately-selling drugs with 11 types (27.5%),  contributing 18.29% of total drug usage and an investment value of Rp 1,319,450.00, and group C consist of the slowest-selling drugs with 18 types (45%), representing 2.33% of total drug usage and an investment value of Rp 392,425.00. In addition to inventory planning, this study examines inventory control using the Reorder Point (ROP) method to determine when the reorder after grouping Mandatory Pharmacy Drugs. The research results obtained the reorder point of Mandatory Pharmacy Drugs, which include group A, ranging from 150-500 items, group B varies from 14-340 items, group C, ranging from 0-34 items.
Simulation Modeling of 140 MW CCGT Quality Indicators Based on DIN-VDI 4661 Standard Using Ebsilon® Professional Software Mickael Ruben Kaiway; Agustinus Giai; Nourish Christin Griapon; Yohanis Tangke Tosuli; Obet Takke Ranteallo; Samuel Parlindungan Siregar; Yohanis Yulius Wanane; Allo Sarira Pongsapan; Anastasia Sri Werdhani; Pither Palamba; Johni Jonatan Numberi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6614

Abstract

The operational efficiency of mid-capacity (140 MW) Combined Cycle Gas and Steam Power Plants (CCGT) remains underexplored concerning the DIN-VDI 4661 standard, which defines key quality metrics for energy systems. Addressing this gap is crucial for establishing standardized benchmarks to optimize performance and reduce energy losses. Existing studies mainly focus on Combined Cycle Gas Turbine (CCGT) units outside the 100–180 MW range and often do not explicitly follow DIN-VDI 4661, limiting efficiency comparisons and hindering targeted optimizations. This study simulates a 140 MW CCGT using Ebsilon® Professional software, incorporating DIN-VDI 4661 guidelines to assess eight quality indicators, including thermal efficiency, fuel utilization, and power-to-heat ratio. The model integrates gas and steam turbines, heat recovery, and auxiliary components, with input parameters validated against industry data. Energy balance analysis and sensitivity tests identified loss points. Results show a gas turbine thermal efficiency of 31.39%, steam turbine efficiency of 39.59%, and total system efficiency of 48.42%. However, significant energy losses (52% of input energy) were observed, mainly in gas turbines (87,000 kW) and steam turbines (56,000 kW). These findings highlight the need for design optimizations, such as improving heat recovery and turbine efficiency, to meet DIN-VDI 4661 benchmarks.

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