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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 Initial Arch Rib Angle Variation and Arch Height on Structure Performance of Tied Steel Arch Bridge Dzulkarnain Muhammad Khazruya; Izatulillah Izatulillah; Faiz Razaan Nema; Dzul Fikri Muhammad
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.v9i3.7423

Abstract

Efficient use of materials in the tied arch bridge can be reach by optimizing it. This article examined initial arch angle and the top height effects. The use of initial angle (20°, 25°, 30°) combined with different top arch height (0,5 – 0,6 meter) is based on rise-span ratio 1:8 – 1:6,67. 9 bridge models are produced from these variations. This study aimed to minimizing deflection and weight for optimizing structural performance, thus decrease steel use also CO₂ emissions for support Indonesia toward SDGs 2045. 3D model was analyzed using FEM (Finite Element Method) Software with a 250 kg mid-span load using the tributary method, which is simulating pedestrian weight transferred through the floor plate and tie chord. Analysis results showed that the arch initial angle and the top height affect the structural performance. With the best performance is showed by type 1.3 with 20° initial angle and top arch height (0,6).
Optimization of Ethanol Purification by Adsorption Process Using Silica Gel with Response Surface Methodology Restu Sebrina Vinata; Firdiani Dwi Pratiwi; Ni Ketut Sari
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.v9i3.7433

Abstract

Ethanol from the fermentation of sugar, cane, and biomass can be used as a renewable fuel, but it must be purified first with adsorption being an efficient method. This study aims to optimize ethanol purification using silica gel adsorption, investigating the effects of flow rates 0.1; 0.2; 0.3; 0.4; 0.5 ml/s and adsorbent weights 20, 30, 40, 50, 60 grams. Response Surface Methodology (RSM) with Central Composite Design (CCD) was used for optimization. The experimental results were input into Design-Expert 13 for RSM optimization using flow rate and adsorbent weight. The highest ethanol concentration of 99.8% was achieved at a flow rate of 0.1 ml/s and adsorbent weight of 60 grams. RSM optimization resulted in a concentration of 99.804% at a flow rate of 0.103 ml/s and silica gel weight of 59.818 grams. The results indicate that increasing adsorbent weight and decreasing flow rate significantly improve ethanol purity. Achieving 99.8% ethanol confirms the effectiveness of silica gel adsorption and supports the development of biofuels as renewable energy sources to reduce dependence on petroleum.
Study of Hydroxyapatite from White Mussel Shells Using Nitric Acid Solvent with the Sol-Gel Method Alia Febrianti Muliina; Nana Roudlotul Fitri; Suprihatin Suprihatin
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.v9i3.7436

Abstract

Mussel shells contain high calcium levels, making them suitable for hydroxyapatite (HAp) synthesis. HAp is a bioceramic widely applied in bone implant materials. This study synthesized HAp from white mussel shells (Corbula faba Hinds) using nitric acid via the sol-gel method. The effects of pH (8–12) and stirring temperature (30°C–90°C) on product yield and crystallinity were evaluated. X-ray fluorescence (XRF) was used to analyze elemental composition, while X-ray diffraction (XRD) characterized the crystalline phase. Results showed that increasing pH and temperature generally enhanced both yield and crystallinity. Optimal conditions were observed at pH 10 and higher temperatures, demonstrating the effective conversion of mussel shells into hydroxyapatite. These findings support the potential of marine biowaste as a sustainable raw material for biomedical applications.
Optimization of Dental Clinic Selection Using Item-Based Collaborative Filtering with Pearson Correlation Daffa Rahman; Ana Kurniawati; Dina Agusten
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.v9i3.7439

Abstract

The advancement of technology in the healthcare sector (e-health) has encouraged dental clinics in Bekasi City to adopt digital systems. However, many clinics have yet to take advantage of this technology. The wide variety of dental clinic options often makes it difficult for users to determine which clinic best suits their needs. This study developed a web-based recommendation system using the Item-Based Collaborative Filtering method and Pearson Correlation calculation. The system recommends clinics based on the similarity of ratings between items, calculated from users’ historical data, and generates predictions using the Weighted Sum algorithm. Recommendations are displayed in table format on the website. The system was developed using PHP and MySQL, with 20 dental clinics in Bekasi City as the research objects. It was tested using Blackbox Testing and User Acceptance Testing (UAT). The MAE evaluation result of 0.28 demonstrates the system's good prediction accuracy, and the SUS score of 80 places it in the "Excellent" category.
Study on Microcrystalline Cellulose Derived from Cassava Stems with Variables of Sulfuric Acid Concentration and Hydrolysis Temperature Rafitrah Rizqullah; Muhammad Fadilah; Caecilia Pujiastuti
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.v9i3.7457

Abstract

This study develops a method for producing microcrystalline cellulose (MCC) from cassava stem waste, aiming to reduce dependence on imported cellulose and promote the utilization of agricultural residues. Cassava stems contain a high cellulose fraction and hold potential as a raw material for pharmaceutical-grade MCC. This study investigates the effects of sulfuric acid concentration and hydrolysis temperature on the yield and quality of the resulting MCC. The production process consists of three main stages: delignification using 25% sodium hydroxide, bleaching with 2% hydrogen peroxide, and acid hydrolysis using sulfuric acid at concentrations ranging from 1.5 N to 3.5 N and temperatures between 60°C and 100°C. The resulting MCC was characterized using Particle Size Analysis (PSA), X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and organoleptic testing. The best results were obtained at 1.5 N sulfuric acid and 60°C, yielding 68.24% MCC with a cellulose content of 63.07%. PSA results showed particle sizes of approximately 25.3 µm, which comply with pharmacopeial standards. XRD and SEM analyses confirmed good crystallinity and appropriate morphology. This study demonstrates that cassava stems can be processed into MCC that meets key specifications of the British Pharmacopeia, offering a low-cost and sustainable raw material for industrial and pharmaceutical applications.
Proximate Characteristics of Tofu Dregs Flour as an Alternative Food Ingredient Rizki Aristyarini; Andriyana Gustam; Fitrawaty Orista Evar; Suryansyah Surahman; Husnul Hatimah
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.v9i3.7458

Abstract

Tofu dregs is an abundant waste from food production that is often not optimally utilized. In fact, tofu dregs have the potential to become an alternative food source if done in accordance with the ideal processing process and supported by the characterization of its nutritional content. This study aims to assess the chemical characteristics of tofu dregs flour through proximate analysis. The parameters analyzed included moisture content, ash, fat, protein, and carbohydrate by difference. Tofu dregs samples were obtained from tofu artisans in Bogor Regency, then dried, ground, and analyzed through the laboratory. The research was exploratory in nature using two replicates. The results showed that the moisture content of tofu dregs flour was 8.49 ± 1.34%, ash content 2.81 ± 0.19%, fat 7.86 ± 0.21%, protein 17.32 ± 0.27%, and carbohydrate by difference 63.53 ± 1.09%. The high protein content indicates that most of the soybean protein fraction is still left in the dregs. The low moisture content means the potential microbiological resistance of tofu bagasse flour during storage. These findings confirm that tofu dregs flour has promising nutritional value and it can be further developed as a sustainable ingredient for high-protein and fiber-rich food formulations. This will thereby contribute to waste reduction and functional food innovation.
Railway Corridor Planning Criteria using Eco Railway Corridor Approach (Case Study: Ngaglik Street Surabaya) Diyah Ayu Saputri
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.v9i3.7461

Abstract

Railway buffer zones along Jalan Ngaglik, Surabaya have been converted into residential settlements, creating safety risks and disrupting train operations. This land-use change violates the original function of these areas as railway support zones. This study aims to identify causes of land-use changes along Ngaglik railway corridor and formulate design criteria for restoring buffer zone function as a green corridor supporting railway activities. The research uses qualitative descriptive methodology with post- positivism paradigm. Urban design methodology follows four stages: analysis, synthesis, appraisal, and decision-making to develop comprehensive design solutions. The "Eco Railway Corridor" concept transforms the area into active public spaces using eco- friendly design elements. Key features include locally-sourced vegetation for carbon absorption, granite retaining walls with railway-inspired patterns, energy-efficient LED lighting systems, and accessible infrastructure with ramps and stairs. The design addresses existing problems by restoring railway-edge areas as safe public spaces while maintaining environmental balance. The eco-friendly approach enhances area identity and provides functional benefits for residents. This planning creates harmonious integration between railway infrastructure and surrounding community needs, ensuring operational safety while offering aesthetic and recreational value for local residents.
Exploring the Potential of Pluchea Indica L. Leaves from Muara Gembong, Bekasi, as a Functional Snacks Andini Putri Riandani; Supriyanto Supriyanto; Mimah Mutmainah; Ricki Chandra Suyahya
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.v9i3.7463

Abstract

Muara Gembong, Indonesia, hosts a rich yet degraded mangrove ecosystem that plays a vital ecological and economic role. One plant species found abundantly in this ecosystem is Pluchea indica L., a mangrove-associated shrub with proven pharmacological properties. This study aimed to explore the nutritional potential and initial consumer acceptance of Pluchea indica L. leaves as a functional food product. Fresh leaves were collected from Pantai Bahagia Village and subjected to proximate and total phenolic content analysis. The results showed that the leaves contain 83.77% moisture, 5.25% protein, 0.52% fat, 6.10% carbohydrate, 2.97% ash, 1.12% crude fiber, and 1,324 mg/kg total phenolic compounds. Compared to other leafy plants such as Moringa oleifera and Sauropus androgynus, Pluchea indica L. leaves offer competitive nutritional and antioxidant value. To assess consumer acceptance, a simple snack product in the form of “peyek” was prepared and evaluated through a 5-point hedonic sensory test. The overall liking scores ranged from 3.25 to 4.5, indicating moderate to high acceptance. These findings suggest that Pluchea indica L. has promising potential as a sustainable, locally sourced functional food, aligning with environmental conservation and community empowerment efforts, particularly in supporting SDG 1 (No Poverty) and SDG 14 (Life Below Water).
Land Use Dynamics and Their Impact on Surface Runoff in the Upper Brantas Watershed Clevira Regita Nathasya; Vita Ayu Kusuma Dewi; Titi Rahayuningsih; Mega Septia Sarda Dewi
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.v9i3.7474

Abstract

The Upper Brantas Watershed (DAS Brantas Hulu) in Batu City plays a vital role in the hydrological system of East Java. However, it is currently classified as critical due to extensive land use changes. Over the past five years, the increasing frequency of floods including 18 events in a single month in 2023 indicates severe environmental degradation. This study aims to analyze land use changes in 2012, 2016, 2020, and 2024; and  examine the correlation between these changes and the increase in surface runoff discharge. The methodology involves spatial analysis of land use change using ArcGIS 10.8 and calculation of surface runoff discharge using the SCS-CN hydrograph method. Curve Number (CN) values were determined based on land cover characteristics and soil types, while rainfall data were processed through frequency analysis, consistency testing, and probability distribution fitting. The results indicate a significant reduction in natural infiltration areas, such as primary forest (−3.3%) and secondary forest (−5.6%), along with an increase in impervious surfaces, including settlements (+30.9%) and industrial areas (+63.2%). These changes contributed to higher CN values and increased surface runoff, thereby elevating flood risks in the Upper Brantas Watershed. The findings emphasize the urgent need to control land conversion as part of sustainable spatial planning and disaster mitigation strategies.
ABO-Vision: Automatic Blood Type Detection with YOLOv4-Tiny and Morphological Image Processing Ita Mubarokah; Thia Anissa; Ahmad Khumedillah Irfa'i
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.v9i3.7475

Abstract

Blood is a red-colored fluid in the human body that plays a crucial role in maintaining the immune system. According to the ABO system, blood is classified into four main types: A, AB, B, and O. This classification is essential for facilitating blood transfusions. Currently, blood type determination is still performed manually by healthcare professionals, who observe the presence or absence of clumping (agglutination) in the blood when it reacts with specific antigens.Numerous studies have been conducted to support and enhance healthcare services, particularly as technological advancements continue to grow rapidly across various fields. In the medical field, these advancements have led to the development of increasingly sophisticated medical devices, including blood type detection tools. These devices typically use manual optical sensors to read blood agglutination by detecting changes in light intensity. However, such devices are not fully automated and still require human intervention, making them prone to human error. Today, automated blood type detection systems utilizing cameras and smartphones—integrated with various image processing methods and Artificial Intelligence (AI) are being increasingly developed. Therefore, this study focuses on the development of a blood type detection model that combines image processing and Deep Learning (DL) to support an intelligent, fast, and efficient healthcare system, achieving a detection accuracy of 98%.

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