cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Sulaiman
Contact Email
m.sulaiman@uniramalang.ac.id
Phone
+6282331527189
Journal Mail Official
m.sulaiman@uniramalang.ac.id
Editorial Address
Fakultas Sains dan Teknologi Universitas Islam Raden Rahmat Malang Jl. Raya Mojosari 02 Kepanjen-Malang
Location
Kota malang,
Jawa timur
INDONESIA
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 929 Documents
 89   90   91   92   93 
Impact of Crush Zone on PPV in Claystone and Limestone Blasting with a Quantitative Approach Noveriady, Noveriady; Grunadi, Devin Tesario; Fidayanti, Neny
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9200

Abstract

Blasting in open pit mines aims not only to achieve optimal rock fragmentation but also to control the impact of generated ground vibration. This study aims to analyze the influence of the crush zone on Peak Particle Velocity (PPV) in blasting activities involving claystone and limestone layers. Field data were collected from 25 blasting operations with varied parameters: number of blast holes 25–160, explosive charge per hole 50–111 kg, and measurement distance 504–537 m. The recorded actual PPV ranged from 1.221 to 3.404 mm/s. Statistical analysis was performed using power regression to model the relationship between Scaled Distance and PPV. The results show a strong inverse relationship between Scaled Distance and PPV, where higher blasting energy concentration forms a more intensive crush zone as the initial source of vibration. Blasting in limestone yields relatively higher PPV compared to claystone under similar Scaled Distance conditions, due to the elastic and more brittle properties of limestone. The model's prediction accuracy reached 91.5% on average. Practically, to maintain PPV at a safe level (<3.404 mm/s), it is recommended to keep the Scaled Distance ≥ 48.82 m/kg⁰·⁵ and limit the explosive charge per hole to the range of 50–90 kg, especially in limestone. This study confirms the key role of the crush zone and rock lithology in blasting vibration mechanisms, providing a basis for optimizing safe and sustainable blasting designs.
Identification of Drought Tolerance in Mutant Maize Genotypes to Ensure Raw Material Stability for the Food Industry Gustam, Andriyana; Surahman, Suryansyah; Hardina, Nur; Muchtar, Hamdani
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9229

Abstract

Maize production stability in drought-prone environments is crucial to ensure continuous raw material supply for the food industry. This study aimed to evaluate the interaction between mutant maize genotypes and different water availability levels to identify drought-tolerant genotypes during the vegetative growth stage. The experiment was conducted in a screen house at the Faculty of Agriculture, Hasanuddin University, using a factorial split-plot design with three replications. Water availability levels (60%, 80%, and 100% of field capacity) were assigned as main plots, while six maize genotypes were arranged as subplots. Analysis of variance (ANOVA) revealed a highly significant interaction (p ≤ 0.01) between genotype and water availability on root length, root volume, and flowering time. Under 60% field capacity, the Bisma 200 Gy genotype produced the longest root length (90.67 cm) and the highest root volume (116.67 mL), significantly exceeding the controls based on LSD at 1%. This genotype also showed lower leaf dryness and earlier male (51.94 days) and female (56.22 days) flowering. These findings demonstrate that Bisma 200 Gy exhibits enhanced drought tolerance through improved root development and accelerated flowering (drought escape), indicating strong potential as a stable maize raw material for water-limited environments.
Hydrographic Analysis of Oyo Hilir River Flood using SCS-CN Method with HEC-HMS and HEC-RAS 6.6 Integrated Modeling Endah Theresya; Anggi Hermawan; Andrea Sumarah Asih
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9280

Abstract

The Oyo Hilir River in Bantul Regency is an area with a high level of flood vulnerability due to rainfall intensity, changes in land use, and river morphological characteristics. Repeated flooding events have an impact on community activities in downstream areas. This study aims to analyze the flood discharge of the Oyo Hilir River design and map the distribution and area of the flood-affected area based on the classification of inundation depth. The research was conducted on the Oyo Watershed (DAS) with a focus on the downstream segment of the river along ±14 km, starting from the confluence of the Oyo–Urang River to the Oyo–Opak River. The data used included rainfall for the period 2004–2023, Digital Elevation Model (DEM), and data on the characteristics of supporting watersheds. Hydrological analysis was carried out through rainfall frequency analysis using AProb and flood hydrographic modeling using the Soil Conservation Service–Curve Number (SCS-CN) method on HEC-HMS, which was then used as an input for two-dimensional hydraulic modeling using HEC-RAS version 6.6. The results showed that the peak discharge of the flood at the 2-year return period was 307.6 m³/second with a peak time at the 16th hour. The largest affected area is in Selopamioro Village, Imogiri District, with an inundation area of 323.62 ha dominated by high flood depth (>3 m). The results of this study are expected to be the basis for flood mitigation planning and sustainable management of the Oyo Hilir River.
The Effect of Substrate Concentration and Bacterial Loading on Biobutanol Production from Molasses Using Clostridium acetobutylicum Putri , Zahra Dzaki Roofia; Destyano, Azel; Sari, Ni Ketut; Triana, Nurul Widji; Santi, Sintha Soraya
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9288

Abstract

Biobutanol is a promising alternative fuel due to its high energy content and compatibility with existing fuel infrastructure. This study evaluates the effects of molasses substrate concentration and Clostridium acetobutylicum loading on biobutanol production via the Acetone–Butanol–Ethanol (ABE) fermentation process. Molasses concentration was varied at 3%, 4%, 5%, 6%, and 7%, while bacterial loading ranged at 1%, 2%, 3%, 4%, and 5%. Fermentation was performed under anaerobic conditions at 37 °C for 4 days with CaCO₃ as a buffering agent. Unlike previous studies that investigated these parameters individually, this work examines their combined influence using a statistical optimization approach. The highest experimental biobutanol concentration of 6.06% was obtained at a substrate concentration of 6% and a bacterial loading of 5%. Optimization using Response Surface Methodology (RSM) produced a statistically significant quadratic model (p < 0.0001) with good predictive performance (R² = 0.9045; predicted R² = 0.8153). The optimal conditions were predicted at a substrate concentration of 5.220% and a bacterial loading of 4.580%, yielding a biobutanol concentration of 6.087%. These results highlight the importance of simultaneous parameter optimization for improving molasses-based biobutanol production.
Analysis of GSI Herbal Medicine Product Sales Strategy Using SWOT Matrix and QSPM Methods Taufail, Muhammad Nabil Daris; Andesta, Deny
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9310

Abstract

In its efforts, Jamu GSI HERBAL products are only marketed to the surrounding community and are unable to compete with health products that offer instant solutions. Therefore, data was collected through observation, in-depth interviews, and questionnaires with four employees and four consumers, as well as strategy validation by the owner and experts at the Mustofa Clinic. The SWOT analysis identified 5 strengths, 3 weaknesses, 3 opportunities, and 3 threats. The results of the IFE (3.86) and EFE (3.67) matrices placed the company in the Grow and Build position. The QSPM analysis set the main priority on ST 1 (score 6.76): increasing hygienic production through a partnership with the Health Office and diversifying variants (syrup/candy). This research emphasizes that legal standardization (BPOM, BPJPH, HKI) is key to transforming MSMEs toward modern markets. This strategy implies increased consumer confidence and production efficiency. Further research recommendations include analyzing the financial impact of transitioning from manual tools to automated machines on profit margins. With the implementation of this strategy, GSI HERBAL is expected to compete competitively and sustainably.
Evaluating Connectivity and Effectiveness of the Road Transportation Network in West Bangka Regency Ilpandari, Ilpandari; Hartanto, Singgih; Susanti, Junita Eka; Prayogi, Galih Rio; Dwiyana, Putri Ayu; Mawaddah, Farah; Akbar, Fas'ul
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9311

Abstract

Transportation infrastructure is essential for regional integration and economic development in West Bangka Regency. However, corridor-oriented growth has led to uneven connectivity and a strong reliance on limited road corridors. This study evaluates the connectivity and effectiveness of the regional transportation network using spatial, topological, and operational indicators based on a graph representation comprising 12 links and 10 nodes that reflect the main inter-district road structure. The analysis integrates Alpha (α), Beta (β), and Gamma (γ) indices, road density, Accessibility Index (AI), Volume-to-Capacity (V/C) ratio, Level of Service (LOS), Travel Time Efficiency (TTE), and a composite Network Effectiveness Index (NEI). Results show low structural connectivity (Beta 0.20–0.33; Gamma 0.08–0.13; negative Alpha; density 0.039), indicating a tree-like configuration with minimal redundancy. Although operational performance remains stable (V/C 0.02–0.59; LOS A–C), accessibility is moderate to low (AI 0.189; travel time 90–111 minutes). The overall NEI indicates moderate effectiveness but limited network resilience. These findings highlight the need for policymakers to prioritize the development of alternative and transversal road links to reduce dependence on single corridors, improve accessibility, and strengthen long-term transportation resilience. The proposed approach provides a quantitative framework for infrastructure planning in corridor-dominated developing regions.
Synthesis of Calcium Phosphate from Snail Shell Waste Using the Hydrothermal Method Rochman, Ananda Arif; Rahman, Nazila Aulya; Sani, Sani; Pujiastuti, Caecilia; Puspitawati, Ika Nawang
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9325

Abstract

The utilization of biowaste as an alternative raw material has attracted increasing attention in biomaterial research. Snail shell waste, which is abundant and underutilized, contains a high calcium carbonate content and offers a unique, low-cost, and sustainable precursor for calcium phosphate synthesis, particularly for bone substitute applications. This study aimed to synthesize calcium phosphate from snail shell waste using the hydrothermal method and to evaluate the effects of pH and hydrothermal time on phase formation, purity, and particle size. The shells were calcined at 800 °C for 4 hours to produce calcium oxide (CaO), then reacted with phosphoric acid at pH 8–12 under hydrothermal conditions for 25–125 minutes. The precipitates were dried and sintered at 1000 °C for 5 hours. X-ray fluorescence analysis showed a CaO content of 99.20%. X-ray diffraction revealed calcium hydrogen phosphate, hydroxyapatite, and calcium carbonate phosphate hydroxide phases. The highest hydroxyapatite content (54%) was obtained at pH 8 and 25 minutes. Higher pH and longer processing time reduced purity. Scanning electron microscopy showed granular morphology, with particle sizes decreasing from 63 nm to 28 nm as pH increased. Although promising, the hydroxyapatite content does not yet meet RSNI3 ISO 13175-3:2012 requirements.
Comparison of CNN and SVM Algorithms in Sentiment Analysis of Roblox Game Based on Bug, Loading Asset, and Connection Stability Aspects Oktaviana Dyah Palupi; Yayak Kartika Sari; Joko Iskandar
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9156

Abstract

Roblox is one of the most popular mobile gaming platforms; however, its rapid growth has led to an increasing number of user complaints related to technical stability, which significantly affects user experience. Common issues such as bugs, asset loading problems, and unstable connections are frequently expressed in user reviews, making sentiment analysis a valuable approach for identifying critical technical problems in mobile games. This study aims to analyze user sentiment toward these technical aspects and to compare the performance of Support Vector Machine (SVM) and Convolutional Neural Network (CNN) in aspect-based sentiment classification. A total of 12,809 Indonesian-language reviews were collected from the Google Play Store during October 2025. The research methodology included data scraping, text preprocessing (cleansing, tokenization, normalization, stopword removal, and stemming), lexicon-based sentiment labeling, and data balancing using the Synthetic Minority Over-sampling Technique (SMOTE). TF-IDF was used for feature extraction in the SVM model, while word embeddings were applied for the CNN model. The results show that the Bug aspect is the most dominant issue (63.91%), followed by Connection Stability (34.41%) and Asset Loading (1.68%). In terms of classification performance, SVM outperformed CNN, achieving 96% accuracy, precision, recall, and F1-score, whereas CNN obtained an accuracy of 80.63% with an F1-score of 0.81. These findings indicate that SVM combined with TF-IDF features is more effective than CNN for classifying short and informal mobile game reviews and provides useful insights for developers in prioritizing technical improvements.
Identification of Factors Influencing the Seismic Vulnerability Assessment of Non-Engineered Buildings Catur Singgih; Setya Winarno; Sri Kusumadewi; Albani Musyafa
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9316

Abstract

Non-engineered buildings are still prevalent in many developing countries and consistently with the highest levels of associated with earthquakes damage and fatalities. Nevertheless, there are still few comprehensive vulnerability assessment frameworks that concurrently take consideration technical, socio-economic, and environmental factors. The aim of this study is to identify and prioritize the main contributing factors of seismic vulnerability in non-engineered buildings using a systematic, expert-based evaluation technique. A total of 30 decision-makers participated in a questionnaire survey, ranking the importance of 16 factors across the technical, socio-economic, and environmental using a consensus-based method that includes mean aggregation, normalization to determining weights, and ratio test 0.1 threshold to identify significant factors. The technical has the highest weight (0.407), followed by the socio-economic (0.372) and environmental (0.222) domains. At the factors level, building structural condition (T2) had the greatest significance, followed by construction techniques (T5), material quality (T1), environmental conditions and site location (E1), and socio-economic status (SE2). The generated framework and factor weights provide an objective basis to establish vulnerability assessment and can be extended into fuzzy models to support mitigation and retrofitting strategies.
Identification of Influential Attribute for Prioritizing Wall Material Selection in Low-Cost Housing Wahyu Ari Pramono; Setya Winarno; Sri Kusumadewi; Fitri Nugraheni
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9317

Abstract

Selecting appropriate wall materials for low-cost housing is a complex decision-making process involving multiple technical, economic, social, and environmental considerations. This study aims to identify and prioritize the most influential attributes affecting wall material selection for affordable housing. A total of twenty-two attributes were derived from a comprehensive literature review and evaluated through a structured questionnaire survey involving 30 respondents, consisting of academics, decision-makers, and technical practitioners. A consensus-based weighting approach was applied using the mean value (μᵢ), normalized weight (wᵢ), and relative ratio (r) to establish the priority structure of attributes. The results indicate that all attributes are considered relevant (r > 0.1), with the highest priorities assigned to structural strength and stability (T1, w = 0.060), initial wall cost (E1, w = 0.058), life-cycle cost (E2, w = 0.057), durability and weather resistance (T3, w = 0.056), occupant safety and perceived security (S4, w = 0.056), and embodied carbon and energy (L1, w = 0.053). At the aspect level, technical factors contributed 34% of the total weight, followed by economic (26%), social (21%), and environmental aspects (19%). These findings provide a quantitative attribute-weighting framework that can support the development of Multi-Attribute Decision Making (MADM) models for context-sensitive wall material selection in low-cost housing.

Page 91 of 93 | Total Record : 929

 89   90   91   92   93 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026 Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026 Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025 Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025 Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025 Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025 Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024 Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024 Vol 8 No 2 (2024): G-Tech, Vol. 8 No. 2 April 2024 Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024 Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023 Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023 Vol 7 No 2 (2023): G-Tech, Vol. 7 No. 2 April 2023 Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023 Vol 6 No 2 (2022): G-Tech, Vol. 6 No. 2 Oktober 2022 Vol 6 No 1 (2022): G-Tech, Vol. 6, No. 1, April 2022 Vol 5 No 1 (2021): G-Tech, Vol. 5, No. 1, Oktober 2021 Vol 4 No 2 (2021): G-Tech, Vol. 4, No. 2, April 2021 Vol 4 No 1 (2020): G-Tech, Vol. 4, No. 1, Oktober 2020 Vol 3 No 2 (2020): G-Tech, Vol. 3, No. 2, April 2020 Vol 3 No 1 (2019): G-Tech, Vol. 3, No. 1, Oktober 2019 Vol 2 No 2 (2019): G-Tech, Vol. 2, No. 2, April 2019 Vol 2 No 1 (2018): G-Tech, Vol. 2, No. 1, Oktober 2018 Vol 1 No 2 (2018): G-Tech, Vol. 1, No. 2, April 2018 Vol 1 No 1 (2017): G-Tech, Vol. 1, No. 1, Oktober 2017 More Issue