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All Journal G-Tech : Jurnal Teknologi Terapan
Deny Andesta
Universitas Muhammadiyah Gresik, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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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.
Analysis of P670 Pump Machine Effectiveness through OEE and TPM Methods at PT. XYZ Mohammad Ridho Nurfadi; Deny Andesta
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.7992

Abstract

PT. XYZ is a cooking oil manufacturing company. The machine used in the processing is the P670 pump machine, which causes a decline in the CPO process, resulting in an increase in the defect rate. This study was conducted to evaluate machine performance and defect factors using the OEE and TPM methods. The OEE analysis showed a value of 84%, which is below the international standard of 85%, and identified Six Big Losses with the highest percentage being Idling & Minor Stoppages Losses at 43.80%. In addition, five factors were identified, namely man, method, machine, material, and environment. Based on these results, improvements were made, namely cleaning schedules, adding alarm control sensors, machine maintenance, and operator training. To ensure effective implementation, a special team of technicians and operators was formed to oversee the implementation of improvements, evaluate by comparing OEE values before and after, conduct training every 2 weeks or once a month, assign a work area coordinator, develop a structured maintenance schedule, and establish a routine cleaning duty roster. Companies must apply these results to reduce losses in terms of time, product defects, effectiveness, and machine performance.
Analysis of Potential Damage to Hydrotester Machines Using FMEA and FTA Methods at PT. ISP to Improve Maintenance Reliability Johan Wiranaka; Deny Andesta; Efta Dhartikasari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8044

Abstract

PT. Indal Steel Pipe (ISP) is a steel pipe manufacturing company that relies on hydrotester machines as an essential tool to ensure product quality. The high production volume and intensive use of machinery have led to frequent failures, such as water hose leakage, rubber seal damage, and electrical system failure. These issues led to unplanned downtime of up to 3.09% of total operating time and 400 minutes of repairs in the last six months, which reduced productivity. This study aims to identify the hydrotester components with the highest risk of failure and establish maintenance priorities. The methods applied are Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). FMEA is used to calculate the Risk Priority Number (RPN) based on severity, frequency, and detection, while FTA helps to systematically trace the root cause of failure. The results showed that the broken pipe rubber had an RPN value of 245, followed by a leaky hydrolis with an RPN of 180, followed by a leaking water pipe hose with an RPN value of 168. Further FTA analysis identified material wear and excessive operational stress as the dominant causes of failure. These findings highlight that combining FMEA and FTA provides an effective approach in formulating maintenance strategies, thereby minimizing risk, reducing downtime, and ensuring production continuity. The novelty of this study lies in integrating FMEA and FTA to prioritize maintenance actions specifically for hydrotester machines, offering practical guidelines for industries with similar equipment.
The Relationship Between Workload and Employee Work Productivity at PT Semesta Berkat Utama Daya Indrawan; Said Salim Dahda; Deny Andesta
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8883

Abstract

Employee productivity is a critical factor for organizational success in an increasingly competitive industrial environment. Workload is often perceived as a determinant that can influence productivity, with effects varying depending on individual adaptability and management support. This study aims to analyze the relationship between workload and employee productivity at PT Semesta Berkat Utama. A quantitative correlational approach with a cross-sectional design was applied, involving all 10 employees selected using a saturated sampling technique. Data were collected through closed questionnaires using a 5-point Likert scale and analyzed using Spearman rank correlation due to non-normal data distribution. The results show a very strong positive correlation between workload and productivity (r = 0.967, p = 0.000 < 0.05), indicating that higher workload is associated with higher productivity in this context. The coefficient of determination (r² = 0.991) suggests that workload explains 99.1% of productivity variance. These findings imply that high workload can act as a performance driver when supported by strong motivation and work commitment. The study provides practical insight for proportional workload management to sustain optimal productivity.
Co-Authors Daya Indrawan Efta Dhartikasari Elly Ismiyah Hidayat Hidayat Johan Wiranaka M. Danial Farrizqi Moh Ilham Alfarisi Moh. Jufriyanto Moh. Pramudia Utama Mohammad Ridho Nurfadi Muchammad Bashori Muhammad Fairuz Baad Muhammad Ilyas Hamdani Muhammad Rafly Ramadhani Putra Arif Maulana Said Salim Dahda Teguh Imansyah Tsany Farras Novrianto Vidiah Nur’Aini