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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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Utilization of Palm Broom Cutting Waste in Making Briquettes as a Potential Alternative Energy Source Ade Nurul Hidayat; Dwi Irwati; Suhendra Suhendra; Dede Reno Suryana; Afra Nuraini
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.v9i1.5577

Abstract

The development of the industry continues to grow and produce products that continue to have useful functions. Production in the manufacture of goods has important industrial problems that must be managed. In the process of producing coconut brooms, there is coconut fiber waste from cutting, where the waste if left alone will become garbage and be thrown away. In the study using quantitative descriptive research methodology, namely by explaining how to make briquettes from coconut broom waste and then calculating the benefits that can be obtained from the waste if used as charcoal briquettes. Coconut broom waste will be used as briquettes that have economic value and can be used as potential economic value for the surrounding community. This study is a continuation of previous studies. This study has a novelty located in the raw material from coconut broom waste where waste that is usually thrown away and becomes unused waste, in this study we utilize it into a material that has economic value, namely made into briquettes. Furthermore, after the briquettes are made, the briquettes will be analyzed by looking at the Economic Feasibility Analysis, namely how much capital is needed and how much profit can be obtained, in this study the profit that can be obtained is IDR. 43,000.00 if we sell 10 packs for IDR. 10,000.00/pack.
Performance Comparison of MicroSD and eMMC Storage in a Single-Node Hadoop Environment Muhammad Arfah Asis; Lutfi Budi Ilmawan; Nur Ikhwan Alfiansyah; Rahman Ramadhan
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.v9i1.5602

Abstract

This study analyzes the performance comparison between eMMC and MicroSD storage in a single-node Hadoop environment, focusing on data processing efficiency using the Terasort and TestDFSIO benchmarks. In this experiment, four different data sizes, namely 500MB, 1GB, 1.5GB, and 2GB, were tested to evaluate how well each storage type handles data processing. The test results show that eMMC consistently outperforms MicroSD across all tested dataset sizes. The larger the data size processed, the more significant the performance comparison between the two storage types. At a data size of 2GB, eMMC is almost four times faster than MicroSD, showing a very clear advantage in processing efficiency. In addition, the results of the TestDFSIO test support this finding. In the test, eMMC shows a write speed that is 50% higher than MicroSD, and a read speed that is almost twice as fast at a data size of 10GB. This performance difference confirms that eMMC has a better capacity to handle large data, which is an important factor in applications that require intensive processing. The findings emphasize that eMMC offers better performance and stability than MicroSD, making it a more suitable choice for applications requiring high speed and efficiency in Hadoop environments. This research is expected to provide valuable insights for developers and researchers considering optimal storage solutions for big data processing.
Web-Based Logistics Scheduling System Utilizing Cheapest Insertion Heuristic Algorithm Chevanton Ernesto Guevara; Raymond Sunardi Oetama; David Tjahjana
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.v9i1.5613

Abstract

Efficiency in the logistics process is essential to maintain company credibility. Significant improvements in logistics efficiency can be achieved by integrating information systems. However, several companies have not implemented this system. These companies will face logistical challenges, especially in scheduling, which will cause delays in the delivery of goods. Against this challenge, this research aims to build a web-based information system to optimize logistics scheduling. This system aims to provide drivers with a compelling sequence of delivery points by applying the Cheapest Insertion Heuristic algorithm, which is integrated with the Google Maps API. This system will undergo a prototyping phase with a web-based approach using the Laravel framework, supported by PHP and MySQL for database management. This design will follow the Rapid Application Development method. User Acceptance Testing shows an average satisfaction score of 98%, which indicates that users feel significantly helped by the information system, especially in improving the company's delivery scheduling process.
Sulfuric Acid Demand Forecasting Analysis Using Double Moving Average And Double Exponential Smoothing Methods At PT Petrokimia Gresik Triana Oktavia Putri; Akhmad Wasiur Rizqi; Moh. Jufriyanto
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.v9i1.5623

Abstract

PT Petrokimia Gresik is the most complete fertilizer producer in Indonesia, offering a wide range of fertilizers and non-fertilizers for agro-industrial solutions. One of its key non-fertilizer products is Sulfuric Acid. In planning future production, forecasting sales demand is the first crucial step. However, the company faces a challenge with inconsistencies between sales forecasts and actual sales of Sulfuric Acid. Discrepancies between forecasted and actual sales can lead to significant differences, impacting production planning and inventory management. To address this issue, this study aims to identify the most effective demand forecasting method. The study considers two alternative forecasting methods: Double Moving Average and Double Exponential Smoothing. Using a quantitative approach, with data collected through field observations, the study finds that the Double Exponential Smoothing method, with a smoothing constant (α) of 0.2, results in the lowest error rate. The Mean Absolute Deviation (MAD), which measures the average absolute difference between actual and forecasted sales, is 1.0185. Additionally, the Mean Squared Error (MSE), which gives more weight to larger errors through squaring, is calculated as 1.25681. Based on these results, the study recommends the Double Exponential Smoothing method as the most effective forecasting tool for the company.
Rancangan Meja Las dengan Penerapan Magnet Elektromagnetik untuk Meningkatkan Stabilitas dan Presisi Pengelasan Ahmad Eko Suryanto; Marko Ayaki Lumbantobing; Sri Murwantini; Agung Samudra; Supriyadi Supriyadi
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.v9i1.5624

Abstract

Precision is very important in the welding process to ensure that the welding results are strong and accurate. A sturdy and well-designed welding table is essential to maintain workpiece stability and precision in welding operations. The method used in this research is Research and Development (RnD) with the ADDIE model. This research aims to design a welding table with the application of electromagnetic magnets through literature study, design and testing of welding table prototypes. The result of the research is a welding table product with the application of electromagnetic magnets. Testing shows the use of electromagnetic magnets on the welding table can improve the stability and accuracy of welding results. This study also obtained data on user/practitioner satisfaction after using a welding table with electromagnetic magnets based on 12 important aspects which include Purpose, Specific, Measurable, Achievable, Relevant, Time-bound, Innovative, Functional, Efficiency, Reliability, Ease of Use, and Safety.
Study of Crystallization Process of Potassium Chloride (KCl) Solution with Ethanol Solution Selvia Sofi Yanti; Muhimatur Rosida; Ketut Sumada; Caecilia Pujiastuti; Suprihatin Suprihatin
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.v9i1.5628

Abstract

This study develops a method for producing KCl fertilizer from KCl waste generated during the industrial production of calcium oxide, with KCl concentrations in the wastewater ranging from 7-10%. The main objective of this research was to investigate the effect of ethanol concentration and crystallization time on pore diameter, KCl content, and the amount of product produced. The study was conducted in two stages: evaporation and crystallization. In the evaporation stage, the KCl waste was heated until it reached a saturated solution. In the crystallization stage, ethanol solution was added as an antisolvent to accelerate the crystallization process.KCl analysis results showed that increasing ethanol concentration and crystallization time led to higher K and Cl content in the final product. The highest K content was 79.55%, and the highest Cl content was 16.88%, achieved with 90% ethanol concentration and a crystallization time of 100 minutes. BET analysis indicated that as ethanol concentration increased, the resulting product size grew larger, leading to smaller pore diameters. At high ethanol concentrations, the KCl crystals formed lacked pores. SEM-EDX analysis revealed that the KCl crystals not only contained K and Cl but also other elements such as C, O, and Ca.
The Effect of Particle Size and Time in the Ashing Process on the Yield of Rice Husk Silica Extraction Rizki Amirullah; Prasdinata Meidaus Kusuma; Ni Ketut Sari
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.v9i1.5733

Abstract

Indonesia is agrarian country that produces a wide variety of agricultural products. One of the agricultural products that is widely produced is rice. It has the main components of cellulose (38.3%), hemicellulose (31.6%), lignin (11.8%) and silica (18.3%). The percentage of silica (SiO2) in ash ranges from 80% to 99%, but different operating conditions during the ashing process make the silica levels obtained also not the same. In this research, it was carried out with a variety of conditions, namely the burning time and particle size of the rice husk. This research aims to determine the effect of particle size and combustion time on silica obtained from rice husks. To obtain silica from rice husk ash, it is necessary to extract it using 10% KOH solvent for 90 minutes at a temperature of 85°C with a liquid solid ratio of 1:12. The larger the size of the husk, the better the combustion process. The ashing temperature used was 700°C and the highest silica content was 81% at a particle size of 20 mesh and a fumigation time of 120 minutes. And the lowest silica content is 31% at a particle size of 100 mesh and ashing time of 30 minutes.
Analysis of IFAS and EFAS as Strategic Management for the Development of Kemenkan Banana Chips UMKM Bekasi Anita Suri; Andini Putri Riandani; Supriyanto Supriyanto; Roni Kristianto; Mutiah Aulia Amali
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.v9i1.5747

Abstract

One of the potential industrial sectors is agro-industry. Local agro-industry can enhance the economy of a region by utilizing local resources and local labor. This research aims to identify and formulate strategies for the economic empowerment of small-scale banana chip industries (UMKM Kemekan Indonesia) in Cibarusah District, Bekasi Regency. The research employs qualitative methods, utilizing the Internal Factor Analysis Summary (IFAS) Matrix, External Factor Analysis Summary (EFAS) Matrix, and SWOT analysis to design an appropriate business strategy. Data collection was conducted through direct observation and interviews. The analysis reveals that the strengths of UMKM Kemekan lie in maintaining the quality of raw materials and sustaining market demand, while the opportunities include broader marketing reach through digital technology and social media. However, challenges such as competitive pricing and market expansion persist. Strategies proposed include improving product quality, offering competitive pricing, and leveraging digital platforms to introduce products to both local and foreign markets. These strategies not only aim to enhance product marketing but also contribute to the sustainability of the agro-industry and improve the welfare of local banana farmers.
Implementation of PDCA and Seven Tools to Handle Obstacles in the KCl Screw Material Machine at PT Petrokimia Gresik Muhammad Burhanuddin; Moh. Jufriyanto; Akhmad Wasiur Rizqi
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.v9i1.5762

Abstract

This study applies the Plan-Do-Check-Act (PDCA) method and the Seven Tools of Quality Control to address jamming issues in the screw machine handling KCl at PT Petrokimia Gresik. Frequent jams caused by wires and cement slurry led to downtime and production losses. PDCA was chosen for its systematic approach to problem-solving. In the Plan phase, check sheets and Pareto analysis identified wires (75%) and cement slurry (25%) as primary causes. The Do phase implemented modifications, including installing a handhole for cleaning and a drain to remove coarse materials. The Check phase showed zero jams and downtime in December 2023, a significant improvement from previous monthly downtime of up to 2 hours. The Act phase standardized these changes into operating procedures and included operator training to enhance raw material supervision. Results showed improved operational efficiency by an average of 1.5 hours monthly and eliminated downtime. This highlights the value of structured methodologies and teamwork between maintenance and operations. Future recommendations include using PDCA and Seven Tools as standard approaches for problem-solving across various machines and processes at PT Petrokimia Gresik.
Implementation of Smart Receptacle Based on The Internet of Things as Developing The Quality of Micro, Small and Medium Enterprises Dona Tiara Lubis
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.v9i1.5776

Abstract

The phenomenon of "chargers" is where visitors come to a cafe just to charge their smartphones or laptops without ordering food or drinks. This condition is becoming more prevalent due to various variables, including the rising utilization of smartphones and laptops, the necessity to charge devices while traveling, and cafés becoming the primary charging option due to their complimentary Wi-Fi and a conducive environment. The Smart Receptacle is a power outlet utilizing an ESP8266 microprocessor, capable of monitoring electric current and calculating use fees depending on a predefined program. This product utilizes the Internet of Things (IoT) to facilitate real-time monitoring of electric current via electronic devices. Smart Receptacle provides a solution for MSMEs, primarily targeting the Food & Beverage sector, while it is equally applicable to other industries necessitating efficiency and control in electricity consumption. This instrument can quantify the power utilized and compute the electricity consumption of each electrical gadget employed.

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