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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 Spacing Configuration and Number of Hangers on Structural Performance of Tied-Arch Bridges Mohammad Salman Alfarisi; Fajar Tamami; Daffa Syarif Abdullah; Puput Risdanareni
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6165

Abstract

Optimized tied arch bridges offer efficient material usage in the structure. This research studied the effects of varying the spacing and number of hangers. The use of symmetrical spacing variations (X), decreased towards the middle of the span (Y), and decreased towards the end of the bridge (Z), combined with different numbers of hangers, namely 8, 10, and 12 pieces, these variations produced 9 bridge models. The objective was to find the best structural performance that minimized structural weight and deflection, thereby reducing steel usage and CO2 emissions. This study used SAP2000 v.25 for 3D model analysis, with a 250 Kg load in the middle of the span using the tributary method, which distributes the load to the longitudinal bars and transverse bars, representing the load of several pedestrians in the middle of the bridge channeled by the floor plate to the bars below. The results showed that the spacing type and number of hangers affect the structural performance. The Z spacing type produced the lowest average structural weight, while the 10 hangers gave the smallest average deflection compared to the other hangers. In conclusion, optimization was successful by combining the z-type spacing with 10 hangers.
Performance Evaluation of Motorcycle Racing Cast Wheels Under Dynamic Load Using Finite Element Method with Aluminum Material Agus Dwi Putra; Diama Rizky Septiawan; Yayi Febdia Pradani; Nicko Nur Rakhmaddian; Muhammad Arif Nur Huda
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6166

Abstract

The racing cast wheel made of aluminum 6061-T6 is a critical component in motor vehicles, particularly in supporting performance, safety, and aesthetics. This study aims to analyze the mechanical performance of the wheel through Finite Element Analysis (FEA) simulation. The FEA simulation was conducted using Ansys 18.1 software with a load of 1500 N, covering both static and dynamic loading conditions. The material tested is Aluminum Alloy 6061-T6, with material properties derived from tensile testing. The simulation results indicate that maximum stress occurs in critical areas, such as bolt holes and the intersection of spokes with the wheel rim, with a maximum stress value of 46.027 MPa. This stress level remains below the material's yield strength (276 MPa), demonstrating that the design is safe from plastic deformation. The total deformation observed is 0.053 mm, which is negligible and does not affect the wheel's functionality. A safety factor exceeding 2.5 confirms that the wheel can withstand more extreme loads. Based on these findings, design optimizations such as adding fillets and surface treatments are recommended to enhance the wheel's reliability. This research provides valuable insights for the development of stronger, lighter, and more durable wheels, particularly suited to the diverse road conditions found in Indonesia.
Analysis and Flood Mapping of Pekalen Watershed of Probolinggo Regency Using HEC-RAS Application Rossi Isnaina Annisa Hadi; Vita Ayu Kusuma Dewi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6177

Abstract

Flooding is one of the natural disasters that needs attention, especially in the Pekalen watershed, Probolinggo Regency. The purpose of this research is to analyze the design flood discharge and mapping of the area potentially affected by inundation. The research stages began with arithmetic area average rainfall analysis, log pearson type III design rainfall analysis, chi squared and smirnov-kolmogorov distribution fit test, mononobe rainfall intensity, HSS Nakayasu design flood discharge analysis, and flood mapping with HEC-RAS 2D flood modeling. The design flood discharge of Pekalen watershed at 10-year return period is 421.4 m³/s, 25-year return period is 455.12 m³/s, and 50-year return period is 479 m³/s. The areas potentially affected by inundation at 25 years return periods are Sukomulyo, Sukokerto, Pajarakankulon, Kradenan, Tanjung, Karangbong, Temenggungan, Karanggeger, Ketompen, Petemon, Selogudigwetan, Selogudigkulon, Puspan, Braniwetan, Branilor, Sumbersecang, Satreyan, Maronkidul, Gerongan, Brabe, Condong, Racek, Pesawaran, Ranugedang, Jangkang, Segaran, Ranuagung, Tiris, Andungsari, Andungbiru, and Sumberaren.
Analysis of Flood Hazard Level in Widas Sub Watershed of Nganjuk Regency Using Geographic Information System Dani Zakiata Fahmi; Titi Rahayuningsih; Vita Ayu Kusuma Dewi; Eko Suwarno
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6185

Abstract

Widas Subwatershed in Nganjuk Regency is a tributary of the Brantas Subwatershed that often experiences flooding during the rainy season. The data on flooding is still in the form of numbers and tables so it needs to be mapped. The presentation of data in the form of a map is needed so that readers can analyse its distribution and help in mitigation planning against flood disasters. The purpose of this research is to analyse the level of flood hazard in the Widas Subwatershed of Nganjuk Regency and present it in the form of a map. The method used was scoring of 6 flood parameters, namely slope, land elevation, soil type, rainfall, land use, and river density, then weighting with the Analytic Hierarchy Process (AHP) method. The result of this research is that Widas Sub Watershed of Nganjuk Regency is dominated by flood hazard area of 33,375.95 Ha while the flood hazard area is 3,415.55 Ha. Flood hazard areas are found in 28 villages in Gondang, Loceret, Nganjuk, Pare, Sukomoro, and Tanjunganom sub-districts. The flood-prone areas are caused by 4 main factors: low land elevation, Alluvial soil type, residential land use, and the density of the river is very sparse.
Gen Z's Interest in Online Travel Agencies in Indonesia: A Modified UTAUT2 Jevin Leon; Fredian Simanjuntak; Muhamad Dody Firmansyah
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6191

Abstract

The rapid evolution of digital technology has transformed the travel and tourism industry, making Online Travel Agencies (OTAs) a preferred medium for trip planning and booking. OTAs offer seamless access to flights, accommodations, and other travel services, catering to Indonesia's mobile-first population and digitally savvy Gen Z users. This study examines factors influencing behavioral intention (BI) and use behavior (UB) toward OTAs, extending the UTAUT2 model with trust, website quality, and AI integration. Data from 300 respondents were analyzed using Structural Equation Modeling (SEM) via SPSS and AMOS. Results show that performance expectancy, effort expectancy, social influence, hedonic motivation, price value, trust, website quality, and AI integration positively affect BI. Habit negatively influenced BI, while BI, facilitating conditions, and habit positively impacted UB. These findings highlight the need for OTA providers to align user expectations with actual experiences, enhancing satisfaction and long-term adoption among Gen Z users.
Optimization of Natural Adhesive Type and Concentration on Characteristics of Corn Cob Biobriquettes Adam Yonanda; Elvianto Dwi Daryono
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6194

Abstract

This study aims to evaluate the effect of wheat flour, starch, and sago adhesive variations on the characteristics of corn cob-based biobriquettes. Against the backdrop of fossil fuel scarcity and the abundance of corn cob waste, this research offers a solution to utilize the waste as an alternative fuel in the form of briquettes. The use of adhesives is an important element in the manufacture of quality briquettes. Adhesives not only play a role in maintaining the density of briquettes, but also affect the overall quality of the product. Different types of adhesives will result in different briquette quality, due to the different chemical compositions among the adhesives. The use of three types of adhesives with varying concentrations is expected to affect the quality of the briquettes based on SNI 01-6235-2000 standards. Testing the characteristics of biobriquettes includes moisture content, ash content, calorific value, and combustion rate. The results of this study found that the most optimal biobriquettes were 15% tapioca adhesive with the highest calorific value of 5563.13 cal/g, water content of 1.96%, ash content of 3%, volatile matter content of 5.76%, bound carbon content of 89.28%, and burning rate of 0.49 g/min. The biobriquettes have met SNI-01-6235-2000.
Optimizing Temperature and Time for Producing Coconut Shell Activated Charcoal to Reduce Free Fatty Acids in Used Cooking Oil Dio Ajeng Oktavian; Rini Kartika Dewi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6201

Abstract

Activated charcoal is a type of carbon that has a high capacity to absorb anions, cations, and molecules in both organic and inorganic compounds, whether in solutions or gases. This research aims to determine the effect of temperature variation and carbonization time on optimizing the production of activated charcoal from coconut shells as an environmentally friendly solution to reduce the acid value in used cooking oil. The activated charcoal production process in this study uses carbonization with temperature variations of 200°C, 250°C, 300°C, and 350°C, and carbonization times of 1 hour, 1.5 hours, 2 hours, 2.5 hours, and 3 hours. The best results for activated charcoal are obtained at 350°C and 3 hours, with moisture content of 0.811%, volatile matter of 5.926%, ash content of 1%, and other parameters that meet the Indonesian National Standard (SNI) for activated charcoal, such as fixed carbon content, iodine absorption capacity in accordance with SNI-06-3730-1995, and an acid value that also meets the standard (SNI 01-3741-2013).
AI-Driven Customers Segmentation Using K-Means Clustering Syfa Nur Lathifah; Zalina Fatima Azzahra
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6202

Abstract

Effective customer segmentation is essential for businesses to enhance marketing strategies and improve customer engagement. This study applies K-Means clustering to segment customers based on demographic and behavioral data collected through structured surveys and questionnaires. The dataset includes attributes such as age, income, purchase frequency, product preferences, and brand loyalty. Data preprocessing involved normalization, imputation, and encoding to ensure quality and suitability for clustering. The optimal number of clusters was determined using the Elbow Method and Davies-Bouldin Index, resulting in three distinct segments: High-Spending, Frequent Shoppers, Price-Sensitive, Infrequent Shoppers, and Brand-Loyal, Moderate Shoppers. These clusters provide actionable insights for businesses, enabling tailored strategies such as loyalty programs, discounts, and targeted promotions. The Davies-Bouldin Index score of 1.27 and visualization using Principal Component Analysis (PCA) validated the effectiveness and distinctiveness of the segmentation. This research highlights the potential of AI-driven methods like K-Means clustering in uncovering hidden patterns in customer behavior, offering a robust alternative to traditional segmentation approaches. Future studies could explore larger datasets, integrate additional behavioral attributes, and compare the performance of other clustering algorithms to further enhance segmentation outcomes.
Effect of Edible Coating of Aromatized Biopolymer on Spatial Distribution of Fat in Gel Emulsion Ardi Manggala Putra; Husnul Hatimah; Rizki Aristyarini; Fitrawaty Orista Evar; Andriyana Gustam; Suryansyah Surahman; Nur Hardina; Prihatin Prihatin
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6205

Abstract

This study aimed to evaluate the effect of aromatized thin-layer biopolymers on sensory perception in gel emulsions with spatial distribution of fat. An edible coating technique was used with Wijsman butter and cheese-cheese aromas to enhance fat perception without compromising other sensory attributes. Homogeneous gels with 20% fat content were applied with scented and unscented thin-layer biopolymers and then analyzed using the hedonic organoleptic method involving hardness, suppleness, color (transparency), and aroma parameters. The results showed that the scented thin-film biopolymer improved panelists' acceptance of fat aroma perception (score of 7.8), compared to the unscented biopolymer (score of 5.5). Panelists' acceptance of hardness, suppleness, and gel transparency did not differ significantly between the flavored and unscented treatments (values ranged from 7.1 to 7.9). This suggests that the addition of aroma can improve the perception of fat without affecting the physical quality of the gel. The use of aromatized thin-layer biopolymers can be an effective strategy to improve the sensory quality of low-fat food products, which is relevant in efforts to address the prevalence of overnutrition. This study contributes to the development of healthy food technology while maintaining consumer preferences for product texture and visuals.
Analysis of Heat Rate Co-firing Pacitan PLTU Kiki Darmawan; Luchyto Chadra Permadi; Bella Cornelia Tjiptady; Ratna Fajarwati Meditama; Indah Martha Fitriani; Faisol Khoufi Asshidiqi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6211

Abstract

Through RUEN in 2025, the government is launching a co-firing program for coal-fired power plants towards achieving net zero emissions. Biomass is one solution to replace or replace fossil fuels in the field of energy supply. Some of the energy plants commonly used for co-firing are calliandra and gamal. The aim of this research is to analyze the Heat Rate efficiency of the use of calliandra and gamal biomass. This research method in quantitative form to achieve measurable results. The results of the analysis of using calliandra biomass at a percentage of 5% produce an NHPR of 2975 kCal/kWh. This value is greater than the use of gamal biomass at a percentage of 5% with a GHPR of 2942 kCal/kWh, and using a percentage of 10% produces an NHPR of 2986 kCal/kWh and at 10% gamal co-firing it produces an NHPR of 2920 kCal/kWh, the smallest thermal efficiency value is produced when the plant uses 10% kalindran co-firing with a value of 30.9%. and the highest thermal efficiency of the generator is when 10% galvanic co-firing is used.

Page 66 of 90 | Total Record : 897

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