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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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Vibration Monitoring to Predict Spindle Bearing Damage on CNC Machines using Outseal PLC and SCADA at PT SKY LINE JAYA Anggara Putra Wicaksana; Rini Puji Astutik
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7295

Abstract

PT Sky Line Jaya is a company engaged in modern manufacturing that will use modern technology in the production process. One of the technologies used is the use of CNC router machines. Continuous use of CNC router machines has a weakness in spindle bearings that are easily damaged. The spindle bearing vibration monitoring system of CNC router machines is needed to predict spindle bearing damage so that production defects can be avoided. The higher the bearing vibration, the CNC router machine cannot work optimally. The higher the bearing vibration frequency, the more it can be assumed that the bearing is damaged. The permissible bearing vibration frequency is below 60 Hz, above that frequency it is considered damaged. The Hansford HS-420 vibration sensor with ladder programming using PLC Outseal has an error of 1.3% so it has good accuracy for use in vibration monitoring systems on CNC router machines at PT Sky Line Jaya. Haiwell Cloud SCADA can display the vibration of the CNC router machine spindle bearing well and has industry standard reliability that can be used non-stop 24 hours at PT Sky Line Jaya.
Optimization of Public Health Centers Location in Bandar Lampung Using Integer Linear Programming Rizka Efiyanti; Darsih Idayani
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7302

Abstract

Public health centers are the primary healthcare services that play an essential role in public health services. Therefore, adequate facilities are needed to ensure that every individual receives proper healthcare services. Bandar Lampung City, the capital of Lampung Province, has a population of approximately 1,100,109 people. According to data from BPS (Statistics Indonesia), Bandar Lampung has a high life expectancy rate in Lampung, reaching 74.53%. To further improve this percentage, efforts are being made to ensure the equitable distribution of healthcare facilities across all regions of Bandar Lampung. This study aims to determine the optimal locations and number of public health centers in Bandar Lampung. Optimization is carried out using integer linear programming with the objective function of minimizing the number of public health centers while considering travel time and the maximum patient capacity each public health center can accommodate. The optimization model is formulated based on the set covering problem model and solved using the branch and bound method with LINGO software. The results indicate that the optimal number of public health centers needed to achieve an equitable distribution in Bandar Lampung is 43, covering 20 districts. This number is expected to fulfill the goal of ensuring equitable access to healthcare services through public health centers in Bandar Lampung.
A SIAR Model Approach to the Impact of Mudik Tradition on Covid-19 Transmission in Indonesia Darsih Idayani; Asmara Iriani Tarigan; Selly Anastassia Amellia Kharis; Heny Kurniawati
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7308

Abstract

In Indonesia, on March 2, 2020, the government announced the first case of Covid-19. Preventing the COVID-19 spread in Indonesia is challenging because the people are very diverse, and not everyone has the same understanding of the transmission of COVID-19. In addition, the Indonesians has mudik tradition, going home yearly on Eid al-Fitr. This study developed an epidemic model of Covid-19 spread SIAR by adding migration factors to represent the mudik tradition. The disease-free equilibrium point, the endemic equilibrium point, and its stability were determined. Numerical simulations were done using Covid-19 transmission data to analyze the trend of symptomatic and asymptomatic infected subpopulations. The results show that the dynamic characteristics of Covid-19 cases were semi-stable in compartments S, I, and A. This condition means that S, I, and A will rise at a certain time. In a disease-free situation, the susceptible subpopulation S is stable at a certain value. At the same time, other subpopulations are stable at almost zero and at zero. The susceptible subpopulation S in a disease-free situation is larger than during an epidemic. The number of people in disease-free conditions is smaller than those in epidemic conditions. In addition, migration at a certain level can increase the spread of Covid-19.
Biobriquettes from Rice Husks Using Molasses and Egg White Adhesives with Variations in Adhesive Concentration Hadryza Anduanda Zahra; Elvianto Dwi Daryono
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7319

Abstract

The use of rice husks as a raw material for briquettes helps reduce agricultural waste while providing added economic value to the product. Molasses is a by-product of the sugar-making process, which is abundant and often not utilized optimally. Molasses has the advantage of being a biobriquette adhesive because it is relatively cheap, easily biodegradable, and environmentally friendly. Albumin in egg white has the ability to form a gel when heated or dried, so it can potentially help bind biomass particles such as rice husks compared to other adhesives. The research operating conditions include raw materials, namely rice husk, carbonization temperature of 300℃, carbonization time of 1 hour, briquette size ≥ 150 mesh, type of adhesive (molasses and egg white) and adhesive concentration (12%, 13%, 14%, 15%, 16%, 17%, 18% and 19%). The optimum conditions were obtained by using 15% egg white adhesive, namely with a water content of 8%, ash content of 7%, volatile matter content of 1.5%, and bound carbon content of 83.5% which met SNI 01-6235-2000 and a calorific value of 4194.03 cal/g, and a combustion rate of 0.140 g/minute.
itu Experimental Analysis of the Effects of Intake Manifold Length and Angle Variations on Torque and Power in 110 cc Fuel Injected Motorcycles Baimy Alexander; Nanang Ruhyat
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7320

Abstract

The performance of small displacement motorcycle engines is significantly influenced by the design of the intake manifold, particularly its geometric characteristics such as length and bend angle. This study examines the effects of intake manifold geometry variations on the performance of a 110 cc fuel injected motorcycle engine. Nine configurations were tested, combining three intake lengths (3 cm, 9 cm, and 12 cm) and three bend angles (0°, 20°, and 40°). A dynamometer was used to measure engine output in terms of torque and power. Results indicate that manifold geometry strongly affects engine performance. The best torque value, 23.40 Nm, was achieved with the 12 cm and 20° configuration, while the highest power output of 9.0 HP came from the 12 cm and 40° configuration. ANOVA confirmed statistically significant effects of both variables (p < 0.05). Unlike previous studies that typically isolate one geometric factor, this research fills a gap by evaluating length and angle together. These findings provide practical insights for optimizing intake manifold design in small fuel injected engines, improving both power and efficiency.
Design of Mobile and Web-Based Geolocation Attendance and Payroll Information System for Teachers And Employees at Madrasah Aliyah As'adiyah Meneng Ketapang Banyuwangi Rohiqim Mahtum; Zaehol Fatah; Ahmad Homaidi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7332

Abstract

Attendance recording and payroll management are important elements in maintaining discipline and operational efficiency in madrasahs. Currently, Madrasah Aliyah As'adiyah Meneng Ketapang uses a manual system based on attendance sheets and spreadsheets, which are prone to errors and data manipulation. To address this issue, this study designed and developed a geolocation-based attendance and payroll information system accessible via mobile and web platforms. Key features include location validation within a 20-meter radius, selfie photo verification, fake GPS detection, and automatic payroll calculation based on attendance and teaching hours. The system was developed using the Waterfall model through field observations, interviews, and literature reviews. Evaluation using Blackbox Testing involving actual users showed that all system functions operated as expected, with no significant errors identified. This system improves accuracy, efficiency, and transparency in the attendance and payroll processes. However, this research is limited to small-scale madrasahs and Android-based platforms. Future development should include better fraud detection methods and integration with broader academic management systems to enhance scalability and functionality.
Identification of Diabetes Mellitus Disease through Urine with Quartz Crystal Microbalance Sensor and Artificial Neural Network Ariel Pinka Rachmad Dhama Putra; Misbah Misbah
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7335

Abstract

Diabetes is a deadly disease in Indonesia. Early identification of diabetes is needed to treat this disease early. Identifying diabetes in urine with quartz crystal microbalance (QCM) sensors and artificial neural networks is a non-invasive diagnostic technique to detect diabetes mellitus, in order to provide information to people with diabetes. Currently, the common testing method used to detect diabetes is using laboratory blood tests and blood sugar monitors. However, this is often considered painful and uncomfortable for patients, especially if they do regular check-ups. In this study, the method used to classify diabetes patients uses a backpropagation artificial neural network method and 4 QCM sensors coated with carbon nanotubes (CNT) consisting of double walled, 2 multi-walled and graphene oxide. There are two classes, namely healthy and diabetes. The data sample uses patient urine. The evaluation results obtained the highest accuracy of 78%, namely with a hidden layer of 128, a learning rate of 0.2 and an epoch of 100, in the division of 80% data for training data and 20% for test data.
Web-based Savings and Payment Management Application with Payment Gateway Integration (Case Study of MI Islamiyah Pengatigan Rogojampi) Moh. Aqil Mukhtar Alfarera; Adi Susanto; Firman Santoso
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7344

Abstract

The development of information technology encourages schools to improve the efficiency of administrative services, including in the management of student savings. At MI Islamiyah Pengatigan Rogojampi, recording savings is still done conventionally using a savings book, which risks causing recording errors, damage, and data loss. This research aims to design and develop a website-based student savings information system and mobile application, so that the process of recording and managing savings can be done more efficiently, accurately, and transparently. The system development uses the Research and Development (R&D) method with the System Development Life Cycle (SDLC) approach of the Waterfall model which includes the stages of analysis, design, implementation, testing, and maintenance. The system is also integrated with Mitrands Payment Gateway to support online deposit and withdrawal transactions. The test results show that the system runs according to user needs, increasing the speed of recording up to 50% more efficiently and reducing the recording error rate by 90%. In addition, 95% of users expressed satisfaction with the ease of access to balance information and savings history. In conclusion, this system has succeeded in increasing the effectiveness, accuracy, and transparency of student savings management and encouraging early understanding of financial literacy.
Firefly-Based MPPT System Design for Wind Energy Efficiency Enhancement in Remote Areas Soni Prayogi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7345

Abstract

The increasing demand for renewable energy in remote and off-grid areas has highlighted the importance of efficient wind energy utilization. However, wind energy systems are often challenged by unpredictable wind speeds, leading to suboptimal energy harvesting. This study proposes the design of a Firefly Algorithm (FA)-based Maximum Power Point Tracking (MPPT) system to enhance wind energy conversion efficiency. The objective is to develop an intelligent control strategy that optimizes the output power of a wind turbine under fluctuating wind conditions. The proposed system is implemented using a permanent magnet synchronous generator (PMSG) and a DC-DC boost converter. The Firefly Algorithm is employed to dynamically adjust the duty cycle of the converter, thereby maintaining operation at the maximum power point. Simulation results using MATLAB/Simulink demonstrate that the FA-based MPPT outperforms conventional Perturb and Observe (P&O) methods in terms of tracking speed, power stability, and efficiency. The proposed approach achieves faster convergence, reduced oscillations, and higher power output, making it highly suitable for deployment in remote areas with limited access to the power grid. These findings indicate that the integration of intelligent algorithms such as FA in MPPT systems can significantly enhance the performance of wind energy systems in challenging environments
Personalized Learning System Based on Artificial Intelligence to Enhance Learning Effectiveness: A Bibliometric Analysis Ni Made Satvika Iswari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7355

Abstract

The integration of artificial intelligence (AI) in personalized learning systems has emerged as a transformative approach to address diverse educational needs and enhance learning effectiveness. However, comprehensive insights into the research landscape, trends, and challenges remain underexplored. This study aims to systematically map and analyse the development of AI-driven personalized learning systems over the past decade to understand their evolution, thematic focus, and future directions. To achieve this, a bibliometric analysis was conducted on 368 Scopus-indexed publications (2015–2025). Utilizing VOSviewer, the analysis reveals a significant surge in research output post-2021, with conference papers and articles dominating scholarly communication. Key themes include adaptive learning, machine learning algorithms, and educational innovation, while emerging clusters highlight advancements in generative AI (e.g., ChatGPT) and language models. Findings indicate that AI-based systems improve academic performance, engagement, and retention through tailored content and real-time feedback. However, challenges such as data privacy, algorithmic bias, and accessibility disparities persist. This study provides a data-driven synthesis of the field’s intellectual structure, offering actionable insights for educators, policymakers, and researchers to optimize AI’s potential in creating equitable and effective learning environments.

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