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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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Analysis of Road Network Performance in Universitas Islam Negeri Raden Intan Area using Microsimulation PTV VISSIM Michael Michael; Frenda Syaputra; Bernaditha Catur Marina; Ayu Kamila Khanza
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.v9i4.8092

Abstract

The road network in the area of the Raden Intan State Islamic University in Lampung often experiences congestion due to heavy traffic, resulting in a decline in road performance. The objective of this study is to analyze existing performance, implement improvement scenarios, and evaluate the impact of improvement scenarios. A descriptive quantitative method was used, involving field surveys covering traffic volume, vehicle speed, and side obstacles. Traffic simulation modeling was conducted using PTV VISSIM software, calibrated by adjusting microscopic traffic parameters and validated through GEH and MAPE tests, ensuring the modeling results accurately represent actual traffic conditions on-site. The results showed the performance of the existing road network, with an average speed of 25.13 km/h, an average queue length of 16.3 m, and an average delay of 73.84 seconds. Three improvement scenarios were conducted using a one-way system and the use of the right lane. All three improvement scenarios showed improvements, with the most significant improvement using scenario 1, which had an average speed of 26.69 km/h, an average queue length of 2.18 m, and an average delay time of 10.13 seconds.
Comparative Finite Element Analysis of Al 7075-T6 and Al 2024-T4 for the Upright Component of a Racing Car Rizkyansyah Alif Hidayatullah; Samuel Adi Nugroho; Rizaldy Hakim Ash Shiddieqy
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.v9i4.8097

Abstract

Topology optimization is a method for reducing mass without compromising structural strength, resulting in an optimal design tailored to the loads acting on the Upright. This study aims to evaluate the stress and deformation of the front Upright design of racing car before optimization and analyze the stress, deformation, and safety factor after topology optimization. Various mass retain percentages are considered to identify the best design that can be manufactured using a 3-axis CNC milling machine.  The research includes load analysis on the front Upright during deceleration, acceleration, and cornering, which subjects the Upright bearing.  The front Upright design is simulated using static structural analysis finite element with ANSYS software . Topology optimization simulations are then conducted with mass retain percentages of 60% dan 40%. Static structural simulations are performed for each optimized design.  The results indicate that the Upright design with a 40% mass retain using At a mass retain of 40% of the Al 2024 T4 material, the mass reaches 459 g with a total deformation of 0.0416 mm and a maximum stress of 84,997 Mpa. 0.04161. The research results obtained lighter materials so that 3-axis CNC production with three stages or sides using one jig and suggested that it is very necessary to validate the simulation results and ensure the design meets technical and safety specifications.
Footrest Design in Achieving an Ergonomic Sitting Posture Anis Rohmana Malik; Tito Bisma May Wilis; Novita Lizza Anggraini; Athaya Nur Khayyirah; Archangela Adelina; Yifrans Sastra Wiguna
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.v9i4.8108

Abstract

Ergonomic problems, particularly postural disorders resulting from prolonged sitting, are prevalent among workers involved in administrative tasks, computer operations, and public communication activities. Extended sitting durations can cause physical fatigue, impaired blood circulation, and discomfort in the lower back and legs, which may eventually lead to decreased work efficiency and musculoskeletal complaints. This study aims to develop an ergonomic footrest equipped with adjustable features based on users’ anthropometric dimensions to improve comfort and prevent postural strain. Data were collected from 60 office workers, including measurements of sitting height, lower leg length, foot width, and other dimensions related to foot positioning while seated, using standard anthropometric instruments such as an anthropometer, measuring tape, and caliper. Data adequacy and uniformity tests were performed to ensure reliability and consistency, and percentile analysis was applied as a basis for design parameters. The final design resulted in a footrest height of 51.85 cm derived from sitting popliteal height, accommodating 95% of users for optimal posture; a width of 30 cm based on sitting popliteal width; and a length of 50.99 cm based on foot length, ensuring full foot support. The proposed ergonomic footrest design is expected to minimize the risk of postural disorders, enhance user comfort, and support overall workplace health and productivity.
Cost and Time Control Using The Earned Value Concept (EVM) Method : Case Study of Ahmad Dahlan Hospital Development Project, Kediri Rini Pebri Utari; Sandi Wahyudiono; Andi Saiful Amal; Langgeng Ardian
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.v9i4.8132

Abstract

Time delays and cost overruns are frequent problems in construction projects. To evaluate these issues, this study applies the Earned Value Management (EVM) method to assess cost and schedule performance in the Muhammadiyah Ahmad Dahlan Hospital project in Kediri. The analysis focuses on three key indicators—Budgeted Cost of Work Performed (BCWP), Budgeted Cost of Work Scheduled (BCWS), and Actual Cost of Work Performed (ACWP)—evaluated during weeks 10, 17, and 32. Results show that in week 10, project performance indicated delays and cost overruns (CPI = 0.75; SPI = 0.97). In week 17, the schedule improved (SPI = 1.50) but cost performance remained inefficient (CPI = 0.996). By week 32, both indices were positive (CPI = 1.011; SPI = 1.03), showing that the project finished earlier and more efficiently. The Budget Estimate at Completion (BEAC) was IDR 57,919,253,725, with an estimated duration of 39.79 weeks, slightly faster than planned. This study contributes to enhancing project efficiency evaluation through periodic EVM analysis, providing insights for better cost and time control in construction management.
Design of an MPPT Controller on Boost Converter for for Improving PV Charging Efficiency under Variable Irradiance of PV Modules Erlillah Rizqi Kusuma Pradani; Delila Cahya Permatasari; Irfin Sandra Asti; Muhammad Imbarothur Mowaviq
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.v9i4.8152

Abstract

The Photovoltaic (PV) system is a promising renewable energy technology that converts solar radiation into electrical energy through solar cells integrated into solar panels. This study presents the design and implementation of a PV system incorporating a DC–DC boost converter and a Perturb and Observe (P&O)-based Maximum Power Point Tracking (MPPT) algorithm to enhance power conversion efficiency under varying solar irradiance and temperature conditions. The proposed system consists of solar panels, a boost converter–based charge controller, an inverter, and a battery bank as the energy storage unit. The P&O algorithm dynamically adjusts the duty cycle of the boost converter to ensure that the PV array operates at its optimal power point. Experimental results show that the boost converter effectively regulates an input voltage range of 8–13 V to produce a stable output of 12–13.5 V. The system achieves a charging efficiency improvement of 18.6% compared to direct charging without MPPT and reduces the battery charging time by approximately 25%, enabling a 12 V, 6 Ah battery to reach full charge in about 8 hours. The integration of the P&O-based MPPT with the DC–DC boost converter significantly enhances charging efficiency and system reliability. These results demonstrate the effectiveness of the proposed PV system in maximizing power extraction and promoting sustainable energy utilization.
Smartphone-Based Remote Control System for an Automated Red Onion Irrigation Robot Irfin Sandra Asti; Fauzan Faadihilah Firdaus; Delila Cahya Permatasari; Erlillah Rizqi Kusuma Pradani; Muhammad Imbarothur Mowaviq; Rhezal Agung Ananto
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.v9i4.8153

Abstract

Agriculture remains a vital sector in ensuring food security, economic stability, and rural livelihoods, particularly in developing countries such as Indonesia. Among various agricultural commodities, red onion (Allium cepa L.) plays a crucial role as one of the most consumed horticultural products and a key income source for farmers. However, its cultivation requires consistent soil moisture, and manual irrigation often results in inefficiency, labor intensity, and inconsistent watering. To address this problem, this study presents the design and implementation of a smartphone-based remote control irrigation robot for red onion cultivation. The system was developed using the ESP32 microcontroller integrated with the Blynk mobile application, enabling wireless control of both mobility and irrigation functions. Hardware components include a DC pump, motor driver, and relay module, supported by a 12-volt rechargeable battery as the power source. The robot’s mechanical frame, constructed from lightweight PVC and acrylic materials, was designed to provide stability and durability in agricultural environments. Performance tests showed that the robot operated reliably within a 20–30 m Wi-Fi range, achieved a movement speed of approximately 3 km/h, and produced water pressure of 160 psi, sufficient for red onion irrigation. Battery endurance reached 1 hour 40 minutes under continuous operation. In conclusion, the developed system demonstrates a practical, low-cost solution that integrates robotics and IoT technology to improve irrigation efficiency, reduce manual labor, and support sustainable water management in red onion farming.
Implementation of Outseal PLC with RS-485 as a Multi Node in Chicken Farming Using Raspberry Pi and Node RED Hanif Nurahmat; Yoedo Ageng Suryo
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.v9i4.8155

Abstract

Chicken farming is one of the important sectors in meeting food needs, but still faces challenges related to the ideal quality of the chicken coop environment, especially high levels of ammonia gas (NH₃) and non-ideal temperatures. Ammonia levels that exceed the threshold can harm chicken health and reduce productivity and result in chicken death. RS-485 as an industry standard communication is used as a Multi Node implemented in the Outseal PLC as an automatic control in chicken farming. Node-RED, as a browser-based visual programming platform, makes it easy for users to create IoT applications, including monitoring and control systems. The use of the Outseal PLC is used to control ammonia gas levels (NH₃) below the permissible threshold of below 20 ppm and the cage temperature below 35℃. The reading of the LM 35 sensor with the Outseal PLC ladder has an error percentage of 1.71% and the reading of the MQ 135 ammonia gas sensor with the Outseal PLC ladder has an error percentage of 1.303%. Raspberry Pi and Node are used to display ammonia gas levels and temperature in chicken farming. By implementing PLC Outseal with RS-485 as a Multi Node in chicken farming using Raspberry Pi and Node RED, it is hoped that it can increase productivity and achieve maximum results from chicken farming.
Identification of FAME (Fatty Acid Methyl Esters) Products from the Interesterification Reaction of Palm Oil with Methyl Ester Co-solvent Elvianto Dwi Daryono; Dwi Ana Anggorowati
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.v9i4.8243

Abstract

Methyl ester co-solvent will accelerate the reaction without the need for a separation stage at the end of the reaction. The study aims to determine the effect of FAME co-solvent concentration and time of reaction on the methyl ester produced in the interesterification reaction of palm oil into biodiesel with methyl ester co-solvent. The weight of the oil used was 250 g, the mole ratio of oil: methyl acetate = 1:6, the temperature was 60oC, the concentration of the co-solvent (0 - 20%), the reaction time (30-90 min), the catalyst KOH 1% and the stirring speed was 800 rpm. The oil, methyl acetate and catalyst were placed in a three-necked flask and the reaction was carried out according to the operating conditions. The optimum conditions were obtained in the palm oil interesterification process with a FAME co-solvent concentration of 20% and a time of reaction of 30 min with  a methyl ester concentration of 61,413 mg/L and an acid value of 0.28 mg KOH/g which met SNI 7182-2015. The research revealed a biodiesel production process with fewer steps, faster reaction times, higher yields, and product physical properties that meet standards. It is hoped that this process can be implemented at a pilot plant scale, bringing the selling price of biodiesel closer to that of diesel fuel.
Forcasting Analysis of Drug Use in Hospitals Based on Multivariate Long Short-Term Memory Networks Fanny Brawijaya; Agung Teguh Wibowo Almais; Totok Chamidy
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.v9i4.8244

Abstract

Effective drug inventory management is crucial for maintaining service quality and cost efficiency in hospitals. Inaccurate procurement planning can cause stockouts or overstock conditions, disrupting healthcare operations. This study presents a predictive model for outpatient drug consumption using a Multivariate Long Short-Term Memory (LSTM) network. The dataset comprises historical records from the general, pediatric, and maternity polyclinics at RSIA Fatimah Hospital, Probolinggo Regency, East Java, Indonesia, collected in January 2023. The variables include timestamp, polyclinic name, drug name, and quantity used. Data preprocessing involved cleaning, one-hot encoding for categorical features, min-max normalization, and time-based train-test splitting to avoid data leakage. The multivariate LSTM model was trained for 500 epochs under various configurations, evaluated using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Three model groups (A, B, C) with distinct neuron counts and batch sizes were tested to assess performance variations. Model B1 achieved the best results, with the lowest MAE (10.239), MAPE (1.979%), and highest R² (0.199). Although the R² value indicates limited variance explanation, Nonetheless, the model remains useful for operational forecasting, the model effectively captures temporal patterns in drug consumption, demonstrating its potential as a decision-support tool for optimizing hospital pharmaceutical inventory management.
Analytic Predictive of Crescent Sighting Using Astronomical Data-Based Multinomial Logistic Regression in Indonesia Tomy Ivan Sugiharto; Mokhamad Amin Hariyadi; Totok Chamidy; Irwan Budi Santoso; Cahyo Crysdian; Ahmad Zarkoni; Ma'muri Ma'muri; Syahreni Syahreni
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.v9i4.8246

Abstract

This research aims to develop and validate a sophisticated crescent visibility classification model in Indonesia. Multinomial Logistic Regression (MLR) was chosen for its capability to provide clear model interpretation through coefficient analysis. Utilizing comprehensive observational data (2021-2025) from Indonesia's Meteorology, Climatology, and Geophysics Agency (BMKG), the study comprised 2210 data points. The model classifies visibility into three categories (Dark, Faint, and Bright) based on defined elongation thresholds. The final predictor variables used were azimuth difference, moon altitude, and elongation. Analysis of the optimal model's (Model A3) coefficients revealed azimuth difference and elongation as the most dominant predictors, marked by exceptionally large positive coefficients (12.050 and 12.018, respectively) for classifying the 'Faint' category. After data preprocessing and systematic optimization ('saga' solver, L2 penalty), the optimal model (A3, C=100) demonstrated exceptional performance with an outstanding F1-Score of 99.10%. These findings strongly validate MLR's effectiveness for elongation-based crescent visibility classification and highlight its substantial potential as a reliable foundation for objective decision-making.

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