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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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Effect of Pressure-Cooking Time Method on the Characteristics of Abon Entok Choirul Anwar; Nur Agustin Mardiana; David Kurniawan; Anang Widigdyo; Yanna Naila Zulfa; Aditya Wirawantoro Putra
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.v9i4.7752

Abstract

Abon is a dry meat-based product typically made from beef, chicken, or other types of poultry, including entok. In the production of abon, the boiling stage is critical, as it determines the tenderness of the meat, which directly influences the shredding process and the overall quality of the final product. However, conventional boiling methods often require extended cooking times to achieve the desired tenderness. To address this limitation, high-pressure cooking using a pressure cooker has become a common alternative due to its ability to significantly reduce cooking time without compromising product quality. Therefore, the objective of this study was to evaluate the effect of cooking time on the physical, chemical, and sensory characteristics of abon entok. This study employed a single independent variable, namely boiling time, which was applied in three treatment durations (15, 25, and 35 minutes). Based on the results of the analysis of the physical, chemical and sensory parameters of abon entok, it was found that boiling time had no significant effect on the physical parameters (pH and cooking loss) and certain sensory attributes (aroma, taste, and overall acceptability). In contrast, it had a significant effect (p<0.05) on the sensory attributes of color and texture. However, the multiple attribute Zeleny analysis identified the 15-minute boiling time (treatment A) as the best overall treatment, producing pH of 6.20 ± 0.07, cooking loss of 42.99 ± 1.50%, colour score of 3.60, aroma score of 4.07, texture score of 3.37, taste score of 3.77, and overall appearance score of 3.97.
Predicting the Potential of Renewable Solar Energy Based on Weather Data in Indonesia Using the Random Forest Method Noviyanti. P; Maya Sari; Kusnanto Kusnanto
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.v9i4.7776

Abstract

Renewable energy plays a crucial role in reducing greenhouse gas (GHG) emissions. Excessive use of fossil fuels, such as coal, can produce GHG emissions that trigger extreme weather and global warming. Therefore, efforts to increase renewable energy utilization are necessary, in line with the Government Work Plan (RKP) target, which targets renewable energy contributions to reach 23% by 2025. This study aims to predict the potential for solar renewable energy in an area based on radiation, temperature, and rainfall variables. The method used is a supervised learning-based Random Forest. Weather data was obtained through the Open Meteo API, then processed by assigning weights to variables to produce output labels, which were then used in the classification process and model performance evaluation. The results showed that the Random Forest model produced an accuracy of 99.82%, with predictions of low/no potential energy being completely correct, medium energy potential experiencing only one error, and high energy potential also experiencing only one error. Based on these findings, the Random Forest method has proven effective in predicting solar power potential with high accuracy and is able to identify variables with the highest to lowest levels of importance.
An Application of Water Pollution Index (PI) to Describe the Water Quality of Ciwalen River, Garut Regency Marcellina Kristin; Taufik Taufikurahman; Devi Nandita Choesin
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.v9i4.7783

Abstract

Garut Regency is one of the famous leather producing areas in Indonesia. The existence of leather tanning industry gives some positive impact in economic but also some negative impact to the environment. This study aims to analyze the condition of Ciwalen River using the Pollution Index (PI) method to monitor the river water quality. Water sampling was carried out using the grab sampling technique during dry and rainy season, on June and December 2024. The parameters measured include BOD, COD, TSS, pH, oil and fat, ammonia, total chrome, and sulfide concentration. These parameters were used to calculate Water Pollution Index (PI). Based on the PI, the condition of the Ciwalen river that passes through the Sukaregang leather tanning industry area is polluted. In dry season, the condition of the water cannot be used for drinking water and is moderately polluted for class II-IV needs such as livestock, fisheries, and plant watering. While in rainy season there is a decrease in polluted conditions to moderate polluted for classes I-III and light polluted for class IV due to higher debit and self purification process.
Technical Design of Pit B Mining PT Indo Muro Kencana Murung Raya Regency, Central Kalimantan Province Monica Anastacia Oktavia Talayuk; Deddy NSP Tanggara; I Putu Putrawiyanta; Novalisae Novalisae; Yos David Inso
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.v9i4.7790

Abstract

This research aims to make a technical design for mining in Pit B, an area planned by PT Indo Muro Kencana to be exploited based on the evaluation of economic ore reserves. Pit B is an area that has never experienced mining activities before. The mine design method involves a technical design process that considers geotechnical, topography, and reserve data aspects to determine an economical and technically feasible mining deadline. The purpose of this method is to produce an optimal and safe mining design, in order to maximize the extraction of mineral reserves by paying attention to work safety. The research method applied is quantitative, used to design pit and waste dump designs and calculate the difference in reserves between the researcher's design results and the company's pitshell data using surpac software. Descriptive analysis is carried out to explain the design process and calculation of the proposal. The pit geometry parameters include a level height of 15 meters, a level width of 5 meters, a slope of 60°, and a ramp width of 15 meters with a slope of 10%, according to the company's operational standards. The results of the calculation of the reserve volume showed that ore amounted to 326,809 tons and waste 4,911,173 tons. The reserve difference between the design and pitshell data is still within the company's tolerance limit of 33%, so this technical design is suitable as the basis for mining operations in the field.
Analysis Of Drainage Channels In Bareng Village, Malang City Using SWMM (Storm Water Management Model) Application Simulation Satriyo Arif Fauziansyah; Vita Ayu Kusuma Dewi
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.v9i4.7797

Abstract

Malang City is the second city in East Java, facing an increased risk of flooding due to population growth, changes in land use, and reduced infiltration areas. Jalan Bareng Raya II is one of the affected locations, with flooding occurring on April 29, 2023 due to high rainfall intensity. This study aims to evaluate the condition of the existing drainage network in the area using quantitative descriptive methods, including data collection, analysis, and interpretation of results. The SWMM (Storm Water Management Model) application is used to simulate overflow channels. Primary data was obtained from direct observation, while secondary data came from the Malang City PUPR Service and BPS. The SWMM simulations show 11 channels overflowing, which can be reduced with a combination of infiltration wells and biopores.
Implementation of PLC Outseal in the Control and Monitoring System for Chicken Farming Using SCADA Haiwell Teguh Wahyudi; Zainal Abidin; Affan Bachri
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.v9i4.7800

Abstract

The rapid growth of the poultry industry necessitates efficient environmental control in chicken farming. One of the main challenges is the high concentration of ammonia gas (NH₃) from chicken manure, which can adversely affect chicken health and productivity. This study presents the design and implementation of an automated control and monitoring system for chicken farms using a Programmable Logic Controller (PLC) Outseal and a Supervisory Control and Data Acquisition (SCADA) Haiwell. The system aims to maintain optimal environmental conditions, particularly ammonia gas concentration and temperature, which are critical for poultry health and productivity. The system utilizes MQ-135 and LM35 sensors to monitor ammonia and temperature levels, respectively, and is built on a master-slave architecture using the MODBUS RTU protocol. Data is transmitted in real-time to the SCADA dashboard, enabling automated control of the blower system. Experimental results demonstrated that the system effectively maintained ammonia levels between 20–35 ppm and temperature between 35–38°C. The LM35 sensor achieved an average error rate of 0.83%, while the MQ-135 sensor showed an error of 1.80%. The RS-485 communication protocol enabled stable data transfer up to 200 centimeters. These results indicate that the system can significantly improve poultry farming management through automation and environmental optimization.
Selection of Humidification-Dehumidification (HDH) Desalination Technology for 3T Region: A Case Study in East Sumba Maria Anindita Nauli; Angellie Naomi; Jansen Briano; Kathrisya Berlianie
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.v9i4.7813

Abstract

Access to clean water remains a significant challenge in Indonesia’s Frontier, Remote, and Disadvantaged (3T) regions due to limited infrastructure and resources. One potential solution to address this challenge is the adoption of small-scale desalination systems. Among various available technologies, Humidification-Dehumidification (HDH) is considered promising for remote areas because of its operational simplicity, low investment costs, and compatibility with renewable energy sources. However, selecting the most appropriate HDH configuration requires careful evaluation across multiple criteria. This study aims to determine the most suitable HDH configuration for East Sumba Regency, a representative 3T region, by analyzing economic, technical, environmental, and social aspects. The Analytical Hierarchy Process (AHP) was used to compare four HDH system configurations: Closed Air Closed Water (CACW), Closed Air Open Water (CAOW), Open Air Closed Water (OACW), and Open Air Open Water (OAOW). Data were collected from published literature, and each configuration was assessed using a hierarchical decision-making model. The analysis found that the CAOW configuration ranked highest with a priority weight of 32.6%, primarily due to its superior maximum freshwater production (182 kg/hour) and the lowest freshwater cost (2.5 USD/m³) among the alternatives. The findings contribute to the development of data-driven decision-making frameworks for technology selection in under-resourced regions. This study provides practical insights for policymakers and engineers seeking sustainable and effective desalination solutions to improve clean water access in 3T regions, particularly East Sumba.  
Receipt Scanning with EasyOCR and ChatGPT-4o in a Mobile Finance App: an Agile Kanban Approach M. Fiqry Septiawan; Siska Anraeni; Ramdaniah Ramdaniah
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.v9i4.7822

Abstract

Technological advancements have provided convenience for Generation Z in managing finances; however, many are still not accustomed to recording their financial activities regularly. Shopping receipts, which should serve as proof of transactions, are often ignored or poorly managed, despite their important role in tracking expenses. Therefore, this research aims to develop an Android-based financial recording application capable of handling both manual input and automated recording through receipt scanning using Optical Character Recognition (OCR) technology. The findings indicate that ChatGPT-4o significantly outperforms EasyOCR by providing more consistent accuracy and faster, stable processing, making it a more reliable solution for receipt-based financial recording. Developed using the Agile Kanban method, the application was validated through alpha testing and proven to function properly across all features. Beyond practical benefits for users, this research also contributes to the financial technology literature by demonstrating the integration of large language models (LLM) to enhance OCR performance in mobile finance applications.
Improving the Hardness of 3D Printable ABS Filament Through Thermal and Cooling Process Control Nurlia Pramita Sari; Akhmad Faizin; Bayu Pranoto; Mochamad Muzaki; Firza Nurdin Maulana
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.v9i4.7838

Abstract

The properties of filament are widely recognized as critical factors influencing the performance of fused filament fabrication (FFF) in 3D printing. Acrylonitrile Butadiene Styrene (ABS) is frequently utilized in this process due to its high strength, durability, and availability. Nevertheless, the characteristics of the filament are highly dependent on processing parameters, particularly extrusion temperature and cooling method, which directly affect its mechanical behavior and dimensional stability. The objective of this study was to evaluate the effect of extrusion temperature and cooling medium on the hardness of ABS filaments produced using a single-screw plastic extruder. Experimental procedures were performed at three extrusion temperatures, namely 180 °C, 200 °C, and 220 °C, with cooling applied by water immersion and by air using a blower. The results demonstrated that air cooling produced superior hardness values and more consistent dimensional stability compared to water cooling. The optimum condition was observed at an extrusion temperature of 180 °C under air cooling, which resulted in the highest hardness values along the filament length (95.63HA  average). These findings suggest that careful optimization of extrusion parameters, particularly the selection of an appropriate cooling method, is essential to improve filament quality for additive manufacturing applications.
The Implementation of Agile Kanban in the Development of an IoT-Based Sugarcane Growth Monitoring System Sekar Sari; Oktavia Citra Resmi Rachmawati
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.v9i4.7845

Abstract

This research stems from the urgent demand for modernisation of sugarcane farming in Indonesia, which faces challenges such as declining productivity due to climate change, limited cultivation technology, and weather uncertainty. The main problem is the absence of a real-time environmental monitoring system that can support farmers in making timely and accurate cultivation decisions. The objective of this study is to develop an IoT-based Sugarcane Growth Monitoring System equipped with four sensors—temperature, humidity, air pressure, and light intensity—using the Agile Kanban project management method. The methodology consists of literature study, planning, implementation, and analysis, carried out iteratively with the aid of a Kanban Board to structure and monitor progress. The results demonstrate that the system successfully integrates hardware, software, and user interfaces to deliver real-time environmental data. At the same time, Agile Kanban proves effective in managing the complexity of the development process. This research contributes not only academically, by showing the applicability of Agile Kanban in agricultural IoT projects, but also practically, by providing sugarcane farmers with decision-making support tools that can enhance efficiency, reduce resource waste, and improve cultivation productivity.

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