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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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Integration of BIM and AR in Supporting Construction Project Management Performance: A Systematic Literature Review Daffa Aqiila Surri; Tri Kuncoro
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.v9i3.7218

Abstract

The advancement of digital technology in the construction industry has driven the integration of Building Information Modelling (BIM) and Augmented Reality (AR) as a new approach to improving project management efficiency. This article presents a Systematic Literature Review (SLR) aimed at evaluating the benefits and challenges of implementing BIM and AR integration in supporting construction project management performance, particularly in terms of cost, time, and quality management. The analysis reveals that the integration of BIM and AR significantly contributes to real-time project progress monitoring, enhanced team communication and coordination, accelerated decision-making, and improved schedule and quality control. However, the implementation of these technologies still faces challenges, such as visual overlay accuracy, loss of BIM metadata, hardware limitations, and human resource readiness. This study highlights the need for the development of technical guidelines and comprehensive adoption strategies, while also identifying opportunities for further research, particularly in the integration of 5D BIM and AR for more optimal project resource management.
Development of a Goat Manure Shredding Machine as an Appropriate Technology for Organic Fertilizer Production Yoto Yoto; Didik Nurhadi; Marsono Marsono; Agus Suyetno; Muhammad Idris Effendi; Putrinda Inayatul Maula
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.v9i3.7222

Abstract

This study aimed to develop and test an appropriate technology in the form of a goat manure shredding machine to enhance organic fertilizer production and improve waste management efficiency. The research adopted a 4-D development model comprising Define, Design, Develop, and Disseminate stages. Initial problem analysis was conducted through field observations and farmer interviews. Based on these findings, a prototype shredding machine was designed and fabricated using a 7 HP gasoline engine with adjustable rotation speeds. The machine was then tested in both workshop and field environments. Fifteen local farmers participated in the field implementation, which included technical training and composting trials. The performance test showed that the machine could process 10 kg of goat manure in 5.23 minutes at low speed and 2.12 minutes at high speed, resulting in a maximum shredding capacity of 283.02 kg/hour. The shredded manure accelerated the composting process, producing mature organic fertilizer within 21–28 days. The final compost exhibited optimal physical characteristics, including dark color, neutral odor, and balanced moisture content. Additionally, farmers reported increased skills, reduced labor burden, and growing interest in commercializing the compost product. In conclusion, the developed shredding machine proved effective in addressing manure waste challenges, enhancing composting efficiency, and supporting sustainable agricultural practices in rural areas. The technology has strong potential for replication and integration into broader circular agriculture systems.
Superstructure Design of PCI Girder Bridge (Case Study: Bridge Project in Padang Pariaman, West Sumatera) Ahmad Yudi; Fadhilah Ramadhan; Kirtinanda P. Kirtinanda P.; Arif Rahman Hakim Sitepu
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.v9i3.7224

Abstract

This study was conducted in response to the damage of the Padang Pariaman Bridge, which had exceeded its service life, further worsened by a flood disaster in 2023 in Padang Pariaman, West Sumatra.  The bridge redesign in this study adopts a PCI Girder type with a span of 35 meters. Load calculations refer to SNI 1725:2016, and structural analysis was carried out using MIDAS Civil software. The bridge design follows the AASHTO LRFD 2007 standards, covering the determination of the number and layout of tendons, loss of prestress analysis, concrete stress evaluation, deflection checks, and shear capacity design. The design results in this study serve as a redesign of the damaged bridge in Padang Pariaman, with adjustments made to the load combinations and response spectrum parameters specific to the region. The analysis results indicate the use of PCI Girder type H-170 with 64 strands divided into 4 tendons. A total prestress loss of 17.94% or 333.77 MPa occurred at midspan. The concrete section stresses remain below the limits specified in the standards, ensuring the section is safe from cracking. Additionally, deflection caused by the combination of vehicle and service loads remains within permissible limits. The bridge design also requires shear reinforcement with D13-200 specifications.
Comparative Study of Naïve Bayes Classifier and Support Vector Machine Methods in Public Sentiment Analysis of Prabowo-Gibran's Free Lunch Program Fikri Febrian; Zaehol Fatah; Achmad Baijuri
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.v9i3.7248

Abstract

In today's digital era, social media has become the main platform for people to voice their opinions on social and political issues. One of the most discussed topics is the free lunch program of President-elect Prabowo Subianto and Vice President-elect Gibran Rakabuming Raka. The program triggered various public reactions, making it relevant for sentiment analysis. The purpose of this study is to compare the performance of two text classification algorithms-Naïve Bayes and Support Vector Machine (SVM)-in classifying public sentiment towards the program. The dataset was obtained from Kaggle, with 657 initial data. After preprocessing, 156 data remained, consisting of 127 negative sentiments and 31 positive sentiments. Data processing followed the CRISP-DM framework, with Python and Scikit-learn used in model training. The results showed that the naive bayes classifier performed better with 84.38% accuracy, 86.90% precision, and 84.38% recall. Support Vector Machine showed lower performance in all metrics. In addition, the Naive Bayes Classifier was able to classify sentiments in a more balanced manner. The analysis was performed using Jupyter Notebook, and the final model was implemented through a Streamlit-based web interface.
Redesigning User Interface Using Prototype Method on The Scholarship Acceptance System Anisa Hudi Widaningrum; Rissa Dwi Kurnia Tanti; Nakhla Ahmad Dreykha; Fernantyo Krisnajati; Novia Ratnasari
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.v9i3.6775

Abstract

This study aims to redesign the user interface (UI) of the KIP-K scholarship recipient prediction system at the Garut Institute of Technology by adding academic and non-academic monitoring features. The main issue raised is the lack of a system that can comprehensively monitor the progress of scholarship recipients. The research method used is qualitative descriptive, utilizing secondary data and six stages of system development, from literature review to testing. The design process was conducted using low-fidelity and high-fidelity prototyping approaches to produce a more functional and user-friendly interface design. System testing was conducted using usability testing through the Maze.co platform and heuristic evaluation based on Nielsen's 10 principles. The test results showed that most users were satisfied with the developed system, although some heuristic principles were not yet met. These results serve as the basis for further improvements to enhance the effectiveness and efficiency of managing and monitoring KIP-K scholarships.
Analysis of Jetty Structure Using the Fixity Point Method and Soil–Structure Interaction via the Spring Model Rahmat Kurniawan; Ayu Sinta Aprilia; Mega Grace; Cahyo Agung Saputra; Ahmad Auliadi Yufrizal
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.v9i3.6863

Abstract

A jetty is an essential element of port infrastructure yet remains vulnerable to lateral forces generated by waves, currents, berthing impact, and earthquakes, all of which can trigger structural failure. This study analyzes jetty performance by comparing two design approaches, soil-structure interaction (SSI) modeled with non-linear springs, and the conventional fixity-point method. A reinforced-concrete deck on steel pipe piles was modeled in SAP2000, with pile diameters of 24, 32, and 40 inches embedded in medium sand. Serviceability and ultimate load combinations followed BS 6349 and ASCE 7-10 provisions. The SSI analysis showed larger structural responses than the fixity-point approach, with peak deflection, bending moment, axial force, and shear force increasing by approximately 35 %, 21 %, 12 %, and 18 %, respectively. These differences arise because the fixity-point method considers soil stiffness only to the calculated fixity depth, potentially underestimating overall lateral demand. Both approaches indicate that a 40-inch pile driven no deeper than 30 m satisfies deflection criteria while limiting drive length, offering a balanced solution between safety and economy. Verifying fixity-point designs with detailed SSI analysis is therefore recommended for robust jetty construction.
Potential and Characterization of Yeast from Soil Contaminated with Captan – Based Fungicide Ratna Eka Sari Putri; Chosa Zahro Fatiha; Novia Dwi Putri
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.v9i3.7253

Abstract

Captan is a fungicide that inhibits the growth of fungi such as Alternaria porri. This fungicide is non-systemic, forming a layer on the surface of leaves and fruit. The continuous use of captan fungicides can leave residues in the environment, especially in soil. One technique to reduce captan fungicide residues is bioremediation. Bioremediation is a way to remove fungicide residues by utilizing microorganisms. The purpose of the study was to obtain yeasts in land polluted with residues of fungicides made from active captan, knowing yeasts that are adaptive to various fungicide concentrations and have the potential to reduce the toxicity of fungicides made from active captan. This study includes soil sampling, isolation and characterization of yeasts morphologically and molecularly, yeast adaptation tests to fungicides, and degradation tests using a complete randomized design. In the adaptation test, all yeasts were able to grow on media added with various concentrations of fungicide product recommendations. Molecular identification of yeast includes DNA isolation, DNA amplification, PCR product sequencing, and molecular data analysis. In the treatment with the addition of yeast, the largest average diameter of A. porri on the seventh day of observation was in the treatment with the addition of W. anomalus and W. onychis yeast. The yeast with the highest ability to degrade fungicides containing the active ingredient captan is W. onychis.
Analysis of Selling Price Determination With Gradient Boosting Algorithm in Traditional Market Stores Bagas Dwi Novianto; Kusrini Kusrini
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.v9i3.7264

Abstract

Traditional market traders often face difficulties in determining optimal selling prices amid competition from modern retailers. This study aims to apply and compare Gradient Boosting and XGBoost algorithms to develop a selling price prediction model for traditional market stores. The research utilizes two datasets : a large-scale dataset from annual sales data and a small-scale dataset from one month of sales. Model training involves hyperparameter optimization using GridSearchCV and evaluation through metrics such as RMSE, MAE, R², and MAPE. Additionally, feature importance and SHAP analyses were conducted to interpret model behavior. The results demonstrate that both models performed well, with R² values nearing 1.0 and MAPE below 2%. Gradient Boosting outperformed XGBoost on the large dataset, while XGBoost showed better accuracy on the small dataset. These findings highlight the potential of machine learning in supporting data-driven pricing strategies for traditional markets.
Increase in Growth N, P, and K Absorption and Production of Corn (Zea mays L.) on Rainfed Paddy Fields Through Application of NPK 16-16-16 Fertilizer Chosa Zahro Fatiha; Retno Suntari; Ratna Eka Sari Putri
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.v9i3.7270

Abstract

One of the national strategic foodstuffs is maize, whose production can still be increased because the actual yield in the lower than the potential yield. Problems that often arise is low fertility, especially nutrients N, P, and K. The aims of this research is to know the effect of NPK 16:16:16 fertilizer application on the growth, production and uptake of corn plants. The research was conducted in Mojokerto rainfed paddy fields with a randomized group design. The treatments given are 8 in the form of different doses of NPK 16:16:16 fertilizer and control in the form of no fertilizer and NPK 15:15:15 according to the recommended dose. Observation parameters observed were soil analysis, number of leaves, plant height, plant dry weight, NPK nutrient uptake and weight of 100 grains. Data analysis used ANOVA f test at 5% level and DMRT further test at 5% level. The application of NPK 16-16-16 fertilizer at 1/4 dose significantly increased the growth of corn plant and nutrient uptake. NPK 16:16:16 fertilizer at 1/2 dose significantly increased production.
NutriMatrix: A Nutrition Management Application Using Mobile Application Development Life Cycle (MADLC) Method Owen Marscel; Ignatius Adrian Mastan
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.v9i3.7289

Abstract

Nutrition is essential to maintaining a healthy lifestyle, yet many individuals lack awareness and control over their daily intake, increasing the risk of chronic diseases. This article introduces NutriMatrix, an Android-based application designed to help users independently manage their nutrition. The app enables users to log their daily food consumption, automatically calculate nutrient values, and receive AI-generated dietary suggestions. It also offers personalized progress reports over selectable timeframes (daily, weekly, or monthly). Developed using the Mobile Application Development Life Cycle (MADLC) method, NutriMatrix follows seven structured phases: identification, design, development, prototyping, testing, deployment, and maintenance. Key features include CRUD-based food logging, a nutrition calculator, an AI assistant called NutriBot for feedback and suggestions, and a progress report for tracking nutrient trends. The app also includes educational articles to promote healthy lifestyle. The backend was developed using Express.js and MySQL, while the frontend used React Native for cross-platform compatibility. Integration testing confirmed that all modules functioned smoothly and cohesively. The application was tested by 158 respondents using usability and user acceptance testing methods, resulting in an average usability score of 3.4 (85%) and a user acceptance score of 3.32 (83%), indicating a high level of user satisfaction and successful feature performance.

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