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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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Integrated Fishing Industry Zone Design Based on Capture Fisheries Potential in the Western–Southern Region of Aceh Iing Pamungkas; Heri Tri Irawan
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.v10i1.8975

Abstract

This research examines the potential of fishery resources, the feasibility of development, and the design of an Integrated Fisheries Industrial Zone (Kawasan Industri Perikanan Terintegrasi - KIPT) in the western-southern region of Aceh. This region possesses significant potential for capture fishery production, but the added value of fishery products remains low due to limitations in infrastructure and processing technology. The research method utilizes quantitative and qualitative analysis with the collection of primary and secondary data, evaluation of technical, economic, social, and environmental aspects, as well as the design of the Integrated Fisheries Industrial Zone. The research results indicate that the development of the KIPT in South Aceh is highly feasible from a technical and economic perspective, supported by adequate infrastructure, human resources, and regulations. Economic impact projections show an increase in added value of up to Rp2.1 trillion per year and job creation reaching 4,000-5,500 people. The KIPT design integrates modern and environmentally friendly facilities for ports, processing, cold storage, and logistics. The study recommends strengthening investment in infrastructure and human resource training to support the sustainability and competitiveness of the fisheries industry in Aceh.
The Role of Information and Communication Technology (ICT) in Advancing Smart Living: A Systematic Literature Review Mashudah Sabilaturrizqi; Moh Faizal Akbar
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.v10i1.8976

Abstract

The rapid growth of Information and Communication Technology (ICT) has given rise to the Smart Living paradigm, which integrates digital devices, services, and infrastructure to enhance the living standard. Using the PRISMA framework and a Systematic Literature Review (SLR) technique, this study aims to identify how ICT supports smart living. Literature searches were conducted on six reputable international databases (ScienceDirect, IEEE Xplore, Emerald Insight, SpringerLink, Wiley Online Library, and Taylor & Francis Online) with publications ranging from 2020 to 2025. From 1,580 articles, a gradual screening process yielded 30 relevant articles for analysis. The synthesis results show that the artificial intelligence (AI) and Internet of Things (IoT) are the dominant technologies in supporting automation, energy management, digital health services, and community participation. The implementation of ICT has a positive impact on improving quality of life, energy efficiency, new business models, and environmental sustainability. However, challenges such as data privacy, the digital divide, and implementation costs still need attention. This study maps technology trends and innovation opportunities for the development of an inclusive and sustainable Smart Living ecosystem. This review contributes an ICT-centric technology-to-impact mapping for Smart Living and highlights actionable research gaps for inclusive and sustainable implementation.
Design of an Expert System for Early Detection of Domestic Violence Using Keyword Matching, Sentiment Analysis and Forward Chaining Kusumaningrum, Sekar Ayu Wijaya; Soleh, Oleh; Azizah, Nur
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.v10i1.8977

Abstract

Domestic Violence (KDRT) is a critical humanitarian issue where victims often under-report due to fear, dependence, and stigma. Consequently, many victims turn to social media to express distress implicitly using vague language, rendering existing passive reporting systems and manual detection ineffective against unstructured narratives. This research aims to design a Hybrid Expert System architecture that integrates Keyword Matching and Sentiment Analysis with Forward Chaining to objectively detect indications of KDRT in Indonesian text, specifically targeting implicit venting that lacks explicit violence keywords. The study employs a systematic development method involving knowledge acquisition from psychological (cycle of abuse) and legal  domains to construct a robust knowledge base. The technical architecture combines sentiment analysis to gauge emotional intensity with Forward Chaining inference logic. This logic utilizes dynamic frequency parameters to validate findings through case tracing simulations. The results demonstrate that the proposed architecture successfully classifies various violence types, including physical, verbal, economic, and multi-type violence. The simulation confirms the system’s capability to distinguish between common household conflicts and specific abuse patterns by applying zero-tolerance thresholds for acute violence and repetition filters for chronic psychological abuse. Consequently, this system functions as a robust decision support tool, providing measurable risk assessments and appropriate intervention recommendations for early detection.
Effect of SiO₂ Nanoparticle Dispersion on The Stability and Thermal Conductivity of Polyvinyl Ether-Based Nanolubricant Safril Safril; Edwin Sahrial Solih; Ridho Hans Gurning; Adinda Rahmah Shalihah; Abdul Wahid Arohman
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.v10i1.8987

Abstract

Heat transfer efficiency in lubrication systems can be achieved by utilising nanolubricants by dispersing nanoparticle additives into pure lubricants to increase nanolubricant stability and thermal conductivity. This study aims to investigate the effect of silicon dioxide (SiO₂) nanoparticle dispersion in polyvinyl ether (PVE)-based lubricants on the stability and thermal conductivity characteristics of nanolubricants. SiO₂/PVE nanolubricant was prepared using a two-step method with a volume concentration of 0.007%. Stability evaluation was carried out through UV–Vis spectrophotometry testing over a period of 30 days. Thermal conductivity was measured using KD2-Pro at a temperature range of 30 ℃ to 80 ℃. The results of the study showed that SiO₂/PVE was declared stable after 144 hours with an absorbance of 80%. Thermal conductivity characteristics decreased with increasing temperature, and the nanolubricant increased compared to PVE lubricants. The maximum increase in thermal conductivity was 2.72% compared to the pure lubricant, and at a test temperature of 30 °C, SiO₂/PVE was compared to SiO₂/corn oil, SiO₂/paraffin oil, SiO₂/sunflower SiO₂/oil, and SiO₂/soybean oil; the results showed an increase in thermal conductivity of 66.69%, 80.63%, 67.70%, and 46.45%, respectively. The thermal conductivity behaviour tends to increase when SiO₂ nanoparticles are dispersed into the pure lubricant, compared to the pure PVE lubricant and previous studies. These findings indicate that SiO₂/PVE nanolubricant produces a significant increase in thermal conductivity, resulting in accelerated heat transfer, reduced friction and wear, and ultimately leading to increased energy efficiency and improved overall system performance.
Biodiesel Production from Waste Cooking Oil via Interesterification Reaction: Effects of Cajuput Oil Biocatalyst Concentration and Reaction Time Briliant Saphira Wardhani; Malikha Syamsi; Elvianto Dwi Daryono; Jimmy Jimmy
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.v10i1.9011

Abstract

Interesterification processes using homogeneous or heterogeneous catalysts generally require additional separation steps, reducing efficiency and increasing operational costs. Cajuput oil, whose main active compound is 1,8-cineole, contains aromatic functional groups that show potential as a biocatalyst and can be applied without a separation step at the end of the reaction, thereby improving process efficiency. This study aims to determine the optimum conditions for the interesterification of waste cooking oil based on cajuput oil biocatalyst concentration and reaction time. Waste cooking oil, methyl acetate, and cajuput oil biocatalyst at concentrations of 0.5–1.5% were reacted in a two-neck round-bottom flask reactor at 60°C, a stirring speed of 300 rpm, an oil-to-methyl acetate molar ratio of 1:6, and reaction times ranging from 20 to 100 min. After the reaction, unreacted methyl acetate was removed by distillation, and the residue was characterized as the final product. The optimum conditions were achieved at a biocatalyst concentration of 1% and a reaction time of 60 min, producing a crude yield of 78.80%, an acid value of 0.45 mg KOH/g, a density of 0.88 g/mL, and a viscosity of 2.94 cSt, which comply with SNI 7182:2015, along with a FAME concentration of 19,406.50 mg/L. The novelty of this research lies in the biodiesel production process that eliminates the separation of the by-product triacetin and the cajuput oil biocatalyst, as both function as bio-additives in the biodiesel. Consequently, the process becomes simpler and more efficient, without requiring lengthy or complex processing steps.
Discrete Event Simulation Implementation for Service Throughput Optimization at Cafe King Kuphi Dodyk Fahlome; M. Khalil Gibran; Akmal Baihaqi; Ikhwan Prananta Hasugian
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.v10i1.9015

Abstract

King Kuphi Cafe has seen an increase in customers, especially during peak hours. As a result, long queues, long waiting times, and poor service have become problems. The purpose of this study is to evaluate and improve the performance of the ordering and serving process using the Discrete Event Simulation (DES) approach. This method is used to model a service system that includes customer arrival, ordering, preparation, and product serving. The data collected includes customer arrival time, service time at the cashier, beverage and food preparation time, and the number of available resources. According to the baseline simulation model, there were constraints in the ordering and preparation processes. This resulted in low throughput and long customer wait times. Subsequently, improvement scenarios such as adding staff, dividing service tasks, and adjusting workflows were tested. The simulation results showed that the optimal scenario could reduce wait times and increase service throughput compared to the baseline. Discrete Event Simulation has proven to help King Kuphi Cafe assess and improve its operational process performance. This research can be used as a basis for strategic decisions regarding resource management and service improvement in the culinary industry.
Implementation of the Monte Carlo Method in Random Walk Models for Analyzing Gambling Bankruptcy Problems Kaka Davi Dharmawan; M. Khalil Gibran; Cici Melisma; Dedek Nurlina; Muhammad Nafis Riziq; Alfin Mubarkah Tanjung
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.v10i1.9016

Abstract

Gambler's Ruin Problem (GRP) is a basic stochastic model used to analyze the probability of a player reaching a target wealth versus losing all capital through sequential random games. This study has two main objectives: to validate the Monte Carlo simulation model against established theoretical results and to conduct a comprehensive sensitivity analysis of the probability of bankruptcy and game duration relative to the probability of winning , initial capital , and target capital . The simulation model was developed in Python as a one-dimensional random walk model, using  replications for initial validation. The results show a high degree of conformity, with an empirical simulation probability of 0.5004 compared to a theoretical value of 0.5000, in accordance with the Law of Large Numbers. Sensitivity analysis shows that a small deviation in  (e.g.,  drastically increases the probability of bankruptcy to over 88%. Furthermore, the average game duration peaks in the fair scenario  at 2,502 steps and decreases significantly under biased conditions. This study confirms the effectiveness of the Monte Carlo method in measuring the impact of the “house advantage” and provides counterintuitive insights into the dynamics of stochastic games.

Page 90 of 90 | Total Record : 897

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