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

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Analisis Pengendalian Persediaan Pasir Silika dengan Metode EOQ dan JIT pada PT. ABC A. Yassir Ardani; Moh. Jufriyanto; Hidayat Hidayat
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5361

Abstract

PT. ABC is a business that operates in the cement production sector. This company often experiences silica sand raw material inventory below the minimum limit of the safety stock applicable in the company for each month, as a result of which the high frequency of orders causes the cost of ordering to swell. Therefore, an analysis of raw material inventory control must be carried out in order to determine the maximum inventory quantity. EOQ and JIT are techniques in controlling inventory that are relatively easy to minimize the total cost of inventory in the form of total storage and ordering costs. The results obtained with a need for 297,985 tons, the cost charged by the company in one year is Rp. 100,671,298. With the EOQ method, the cost is Rp. 38,236,200 or 62% more efficient. JIT method costs Rp. 15,609,863, or 85% more efficient than the company's policy.
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.
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.
Quality Control Analysis of Sickle Products Using Statistical Quality Control (SQC) and Failure Mode and Effects Analysis (FMEA) Fatikhul Arief; Moh. Jufriyanto
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.v9i4.8059

Abstract

PT. ABC is a manufacturing company that produces agricultural and plantation tools, with one of its superior products being sickles. The main problem faced by the company lies in the high number of defective products in sickle, so this study was conducted with the aim of minimizing defects in these products. This study applied the Statistical Quality Control (SQC) method as a quality management approach to control product quality through the integration of the Failure Mode and Effect Analysis (FMEA) and SQC methods. Primary data was obtained through interviews to identify the causes of product defects, while secondary data was obtained from production reports and the company's defect count. Based on the results of the analysis using a pareto diagram, it was found that 88% of quality problems were caused by cracks in the sickle blades. Furthermore, through Risk Priority Number (RPN) analysis, it was found that the main contributing factor was human error, namely operators who did not understand the applicable standard operating procedures (SOP), with an RPN value of 315. This finding indicates that crack defects are a dominant factor affecting product quality.
Work Accident Risk Analysis in Water Treatment Plant Laboratory of PT XYZ using JSA and HIRARC Methods Azumah Islahiyah; Moh. Jufriyanto
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.v9i4.8061

Abstract

PT. XYZ produces fertilizers and chemicals for agro-industrial solutions. To maintain product quality, quality control is carried out in the water treatment laboratory. The increasing complexity of laboratory activities increases the risk of workplace accidents, such as inhaling reactive chemicals that can irritate the respiratory system and cause poisoning, or slipping while taking samples, which can cause injury. This study aims to analyze potential hazards and design control recommendations using the Job Safety Analysis (JSA) and Hazard Identification, Risk Assessment, and Risk Control (HIRARC) methods. Data were collected through interviews with employees and questionnaires assessing the likelihood and severity of hazards. The results of the study identified 12 potential hazards spread across 4 work activities. There were 2 very high-level hazards, 9 high-level hazards, and 1 moderate-level hazard. This study provides control recommendations to reduce risks, such as controls including the use of appropriate Personal Protective Equipment (PPE) etc., thereby supporting improved workplace safety at the PT. XYZ laboratory.
Co-Authors A. Yassir Ardani Adymas Trenaldy Pramu Bintoro Ahkmad Wasiur Rizqi Akhmad Muzaki Hilal Al Farizi Akhmad Wasiur Rizqi Alvian Salakhudin Ihsan Azumah Islahiyah Deny Andesta Dicky Dwi Armanda Efta Dhartika Priyana Elly Ismiyah Fashal Ariyanda Fatikhul Arief Hidayat Hidayat Mohammad Sabilarrosyad Muhammad Burhanuddin Muhammad Ferdiansa Muhammad Rofi'ul Ichsan Salman Alfi Yuganta Triana Oktavia Putri Tsany Farras Novrianto