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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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Service Quality Analysis with Servqual Integration Approach and Importance Performance Analysis (IPA) to Increase Customer Satisfaction at Radja Mart Minimarket Desi Sri Setiawati; Supriyati Supriyati; Rachman Catur Kurniawan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6615

Abstract

Radja Mart minimarket faces the problem of mismatch between customer expectations and the quality of service provided. This study aims to measure the level of customer satisfaction with Radja Mart's services, analyze factors that affect service quality with the Servqual and Importance Performance Analysis (IPA) methods, and determine the priorities for improvements that need to be made. The study findings indicate that Radja Mart's service quality does not yet fully meet customer expectations, as evidenced by an average Servqual score of 0.94 <1, which means that there is still a lack of service quality provided by Radja Mart. The Cartesian chart analysis identified the E3 attribute response to customer complaints and suggestions identified as the top priority for enhancement. To improve service quality, Radja Mart should implement concrete measures such as regular employee training to enhance responsiveness and customer engagement. Furthermore, establishing a structured feedback mechanism will enable management to monitor customer concerns and promptly address service gaps. By focusing on these targeted improvements, Radja Mart can increase customer satisfaction, minimize complaints, and strengthen its market competitiveness.
Quality Control of Wood Pallet at CV. Mandiri Jaya to Reduce Product Defects Using Statistical Quality Tools and FMEA Methods M. Sahrur Romdloni; Moch. Nuruddin
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6616

Abstract

This research focuses on improving the quality control of wooden pallets at CV Mandiri Jaya to minimize production defects by utilizing Statistical Quality Tools and the Failure Mode and Effect Analysis (FMEA) method. As a company engaged in manufacturing wooden pallets, CV Mandiri Jaya faces challenges in maintaining consistent product quality. The data collected was analyzed using Statistical Quality Tools, which include check sheets, Pareto diagrams, control charts, and fishbone diagrams to identify and propagate defects. The FMEA method was then applied to determine and prioritize the root causes of defects based on the Risk Priority Number (RPN).The findings show that the most frequent defects are top board dimension mismatch, improper stiffening, and wood cracking. By identifying the root causes of these defects, appropriate corrective actions can be proposed. The results showed that the implementation of this method effectively reduced the number of defective products from 26.1% to 19.5%, which means a decrease of 25.3%. In addition, production efficiency was significantly improved.This research provides a practical framework for manufacturing companies to improve their quality control strategies, ensure higher products, and improve competitiveness in the market.
Effect of Temperature and Cellulose Mol Ratio on the Optimization of Oxalic Acid Production from Kapok Fiber Akren Alvindo Pratama; Shofwatul Athiyah; Retno Dewati
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6628

Abstract

Until now, kapok fiber has not been fully utilized. However, kapok fiber has a high cellulose content that can be used as a basic material in the manufacture of oxalic acid. The purpose of this study was to determine how the hydrolysis temperature and the number of moles of cellulose affect the oxalic acid content produced from kapok fiber. This research was conducted in four stages, namely hydrolysis, precipitation, acidification, and crystallization. Oxalic acid crystals were then analyzed using permanganometric titration to determine the levels contained, melting point analysis, and pH to compare the characteristics of the synthesized oxalic acid with standard oxalic acid. In addition, FTIR spectroscopy analysis to determine the functional groups contained in oxalic acid. The results showed that the highest oxalic acid content was obtained in the condition of 1 mole cellulose and 70°C hydrolysis temperature, which amounted to 17.45%. The FTIR analysis results of synthetic oxalic acid and standard oxalic acid show similarities, as seen from the O-H group length of 3406.29 cm⁻¹, the C=O group length of 1687.71 cm⁻¹, the C-O group length of 1132.21 cm⁻¹, and the C-H group length of 669.30 cm⁻¹.
Analysis of Corn Cob Briquette Characteristics Using Different Adhesives in the Pyrolysis Process David Mangallo; Thomas Pagasis; Rombe Allo; Mickael Ruben Kaiway; Enos Tambing; Selyus Rantepulung
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6635

Abstract

Corn cobs, an abundant agricultural waste, represent a promising alternative energy source when converted into briquettes. This study aimed to characterize corn cob briquettes and determine the optimal adhesive type and concentration for enhanced performance. Charcoal was produced from corn cobs via pyrolysis in repurposed oil drums, then ground and sieved through a 60-mesh screen. The resultant charcoal was combined with either starch or sago starch adhesives at concentrations of 7.5%, 10%, 12.5%, and 15% and subsequently molded into honeycomb briquettes using a 4-inch diameter mold with 16 perforations, fabricated from galvanized iron pipes and operated with a hydraulic jack. Proximate analysis indicated moisture levels of 5.37–6.71%, ash levels of 30.64–39.16%, volatile matter levels of 20.61–23.07%, fixed carbon proportions of 32.53–42.44%, and calorific values between 2893 and 3727 kcal/kg. A Water Boiling Test conducted with 1 liter of water demonstrated that briquettes incorporating 7.5% sago starch adhesive achieved boiling within 36 minutes, indicating superior combustion efficiency. These findings confirm the potential of corn cob briquettes as a renewable energy source and underscore the critical role of adhesive formulation in optimizing biomass fuel performance.
Optimization of Hole Variations in Honeycomb Charcoal Briquettes from Corn Waste for Enhanced Combustion Efficiency Agustinus Agustinus; Rombe Allo; Enos Tambing; Selyus Rantepulung; Mickael Ruben Kaiway
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6639

Abstract

This study investigates the viability of corn byproducts as an alternative energy source via conversion into honeycomb charcoal briquettes. Discarded corn byproducts are transformed into briquettes to mitigate fossil fuel reliance, particularly in the Arso region. This research aims to assess the energy output of briquettes with varying perforation configurations (4, 8, and 12 holes) and a diameter of 5 inches. The Water Boiling Test (WBT) method, utilizing temperature measurement tools such as a K-type thermocouple and an infrared thermometer, was utilized for performance assessment. One liter of water was heated to its boiling point during the experiment. The results indicated that the 8-hole briquette had the quickest boiling time of 25 minutes, with a fuel consumption rate of 2.8 × 10⁻³ kg/s. In comparison, the 4 and 12-hole briquettes required 35 minutes, with an average fuel usage of 2.86 g/s. The maximum combustion temperature for the 4-hole briquette was measured at 589°C, while the 12-hole briquette reached a mere 427°C. These outcomes demonstrate that the 8-hole briquette possesses superior efficiency. A decrease in hole quantity adversely affects boiling speed, while an increase in holes results in greater fuel consumption. These findings highlight the importance of optimized briquette design in improving biomass fuel efficiency.
Pengaruh Alkalisasi terhadap Sifat Mekanis Komposit Polypropylene Daur Ulang / Serat Biduri Herlin Arina; Devin Priyan Mardiansyah; Untung Prayudie
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6648

Abstract

The expansion of the automotive sector has heightened the demand for polypropylene (PP), resulting in an increase in PP waste. Nonetheless, recycling frequently undermines the mechanical and physical qualities of polypropylene (PP). This problem can be resolved by augmenting recycled polypropylene (rPP) with natural fibers, such as biduri fiber (Calotropis gigantea), recognized for its low density, high tensile strength, and hydrophobic-oleophilic characteristics. A potassium hydroxide (KOH) alkali treatment enhances fiber wettability and polymer adhesion by eliminating non-cellulosic constituents, hence strengthening the link between biduri fiber and the rPP matrix. This study examines the mechanical properties of rPP composites reinforced with 2% w/w biduri fiber and different KOH concentrations (0%, 2.5%, and 5% w/w). The composites were constructed into a three-layer configuration with thicknesses of 1 mm and 2 mm. Recycled polypropylene sheets were fabricated by heating rPP granules to 190°C for five minutes, subsequently compressing at 300 kg/cm², and cooling to 100°C. The composite was created by interposing nonwoven biduri fiber sheets between two rPP sheets and subjecting the assembly to heating at 210°C under a pressure of 300 kg/cm² for 10 minutes. The mechanical properties were evaluated using dog-bone-shaped specimens for tensile and impact testing. The findings indicated substantial enhancements in impact strength (up to 54,95%) and tensile strength (up to 3,6%) with elevated KOH content; however, the melt flow rate diminished, signifying a compromise between enhanced strength and processability. These results endorse the utilization of rPP-biduri fiber composites as sustainable, mechanically superior materials.
Comparison of Machine Learning Classification Methods for Weather Prediction: A Performance Analysis Zakha Maisat Eka Darmawan; Ashafidz Fauzan Dianta; Kholid Fathoni; Oktavia Citra Resmi Rachmawati; Kevin Ilham Apriandy
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6649

Abstract

Weather classification is crucial in various sectors, including agriculture, transportation, and disaster management. Accurate weather prediction can help mitigate risks and improve decision-making in these fields. However, classifying weather conditions remains challenging due to the complex and dynamic nature of meteorological data. This study aims to compare different machine learning classification methods to determine the most effective model for weather classification. The research employs a structured methodology consisting of seven key steps: literature study, data understanding, exploratory data analysis, data preparation, modeling, evaluation, and hyperparameter tuning. The study used Decision Tree, Random Forest, Support Vector Machine, K-Nearest Neighbors, Gradient Boosting, AdaBoost, and Extra Trees to identify the best-performing classifier. Model evaluation was conducted using accuracy, precision, recall, and F1-score. The results indicate that Gradient Boosting achieved the highest performance, surpassing other models with an accuracy of 90.15%. To optimize the model further, hyperparameter tuning was conducted using GridSearchCV, and feature selection was done using SelectKBest. This process resulted in an improved accuracy of 90.22%, demonstrating the effectiveness of model optimization.
Pemanfaatan Pengaruh Subsitusi Semen Menggunakan Abu Batang Jagung (Zea Mays) dan Penambahan Serbuk Cangkang Bekicot (ACHATINA FULICA) Terhadap Kuat Tekan Beton Dian Ismawan; Agyanata Tua Munthe
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6653

Abstract

As the height of a structure supported by concrete increases, it demands a higher quality of concrete. However, increasing the use of concrete structures makes the materials that compose the concrete more expensive. In this study, corn stalk ash, which contains silica and has pozzolanic properties, was used to partially replace cement. Meanwhile, powdered snail shell can be assumed to act as a filler to fill the voids between aggregate particles. The study was conducted by replacing 7% of the cement weight with corn stalk ash and adding varying amounts of snail shell powder at 0.3%, 0.5%, 0.7%, and 0.9% of the cement content in the concrete mix for ages of 7 days, 14 days, and 28 days. The goal was to determine its effect on the concrete's density, compressive strength, and water absorption.The results of the study concluded that substituting 7% corn stalk ash and 0.3% snail shell powder after 28 days could increase compressive strength by +10.8%, reduce the density by -2.8%, indicating that the concrete becomes lighter, and reduce water absorption by -0.4%, indicating that the concrete becomes denser, which is beneficial for reinforced concrete as it protects the reinforcement from water and harmful substances. However, this substitution and addition led to a decrease in the slump value, affecting workability and making the concrete more difficult to mold.
Perencanaan Peningkatan Kualitas Pelayanan di AL Coffee Menggunakan Metode Service Quality dan Quality Function Deployment Putra Arif Maulana; Deny Andesta
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6662

Abstract

AL Coffee is one of the hangout places for teenagers with a friendly concept, comfortable place, and affordable prices. Based on complaints, namely revenue in February to May 2024 is still fluctuating stable, suddenly in June to December 2024 and January 2025 there is a decline. To fix these problems, one of the methods used is the ServQual method as a measure of customer perceptions and expectations assisted by the GAP value if negative results will be made improvements, and QFD to translate needs with HOQ involving VOC. The results of ServQual and QFD obtained technical responses for improvement by conducting training for 1-2 months and involving experienced staff, using a digital queue number system to make orders more organized, routine checks and making a list of important facilities needed by customers, redesigning menu books with clear fonts, images, and detailed information, establishing a staff performance appraisal system and providing rewards for the best staff every month, making a list of all cafe equipment and checking at the beginning-end of work, and using a daily checklist so that cleaning is not missed.
Analisis Efektivitas Mesin VL. GSK 6039 Pada Proses Pembubutan Wheelhub Front Menggunakan Metode OEE dan FMEA di PT. XYZ Ilham Dwi Pranajaya; Akhmad Wasiur Rizqi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6696

Abstract

PT. XYZ is a company in the field of spare parts manufacturing services such as wheelhub fronts. The machine used in the machining process is the VL. GSK 6039 machine which results in defects such as visual defects and oversize. This study was conducted to evaluate machine performance and defect factors using OEE and FMEA methods. OEE analysis showed a value of 38% below the international standard of 85%. In addition, 3 factors were found, namely humans, methods, and machines, from visual defects and oversize. Visual defects obtained RPN value 574 and oversize obtained RPN value 742. From these results, improvement suggestions are made, namely increased supervision, training, and rest hours for workers, guidance and improvement of SOP standards, increased machine maintenance and maintenance, and training in correct measuring instruments. In order to be implemented effectively, the company must form a special team of management representatives, technicians, and operators to oversee the implementation of improvements, periodic evaluations by comparing changes in OEE values before and after implementation, training every 2 weeks or once a month, placing a work area coordinator to ensure it is running properly, developing a more structured machine maintenance schedule, and implementing scheduled 60-30 minute breaks.

Page 70 of 90 | Total Record : 897

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