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All Journal International Journal of Advances in Intelligent Informatics Jurnal Statistika dan Matematika (Statmat) Jurnal Syntax Transformation Jurnal Kedokteran Hewan Enrichment: Journal of Multidisciplinary Research and Development
Fradinata, Edy
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Minimizing Waste in The Bread Production Process with The Waste Assessment Model and Failure Modes and Effect Analysis (FMEA) Method Laturrahmi, Rizki; Fradinata, Edy; Husni , Husni
Jurnal Syntax Transformation Vol 6 No 5 (2025): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v6i5.1074

Abstract

The achievement of production targets is a key goal for every company. To achieve these targets, it is crucial to enhance efficiency and minimize waste, such as defective products, unnecessary movements, overproduction, and excessive production time. This study aims to identify the types and amounts of waste, analyze the most dominant waste, and compare waste across three similar companies. The identification of waste was conducted using the WAM method across the three companies, revealing five major waste types with the highest percentages: Defect waste (23.489%, 21.144%, and 20.949%), Inventory waste (20.489%, 15.616%, and 18.694%), Overproduction waste (15.749%, 15.480%, and 15.391%), Waiting waste (9.382%, 12.651%, and 13.209%), and Motion waste (13.850%, 11.299%, and 10.739%). The analysis of waste causes used the Failure Mode and Effects Analysis (FMEA) method, where the highest Risk Priority Number (RPN) of 576 was associated with defective products. Recommendations to address this issue include periodic maintenance of oven machines, structured production scheduling, provision of material handling tools, and improvements in the production layout. The most dominant waste across the three companies was Defect waste, with Sarigut Bakery having the highest percentage of waste (23.489%), followed by Nafisah Bakery (21.144%) and Istana Bakery (20.949%). This study highlights the importance of addressing waste to improve production efficiency and achieve production targets.
Risk Mitigation Analysis with the House of Risk (HOR) Method Approach in the Service Procurement Process Zulfiadi, Zulfiadi; Arhami, Arhami; Fradinata, Edy
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 3 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i3.395

Abstract

Service procurement is a crucial part of supply chain operations, often susceptible to various risks that can disrupt business continuity. PT. Pupuk Iskandar Muda, a major fertilizer company in Indonesia, faces multiple risk events in its service procurement processes. This study aims to identify these risks and propose effective mitigation strategies using the House of Risk (HOR) method. The HOR model comprises two phases: risk identification and prioritization using Aggregate Risk Potential (ARP), followed by the development of mitigation strategies based on risk agent rankings. The results reveal 20 risk events and 19 associated risk agents, from which 10 were prioritized through Pareto analysis. Consequently, 11 mitigation strategies were formulated to address the root causes of these high-impact risks. The novelty of this research lies in its specific focus on risk mitigation in service procurement—an area often overlooked in supply chain literature, which typically emphasizes goods procurement. This study contributes to the development of more targeted and proactive risk management approaches, particularly for state-owned enterprises operating in complex, high-stakes industries.
Classification Of Spare Parts For CO2 Compressor At PIM-1 Plant Using Integration Of Multi-Criteria Analysis And Forecasting Model Determination With Single Exponential Smoothing Method (Case Study: PT Pupuk Iskandar Muda) Faryani, Lena; Irwanysah, Irwanysah; Fradinata, Edy
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 4 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i4.410

Abstract

PT Pupuk Iskandar Muda (PIM), a subsidiary of PT Pupuk Indonesia (Persero), plays a pivotal role in supporting national food security through the reliable operation of its fertilizer plants. Effective spare parts inventory management is crucial to ensure uninterrupted plant operations. However, challenges arise due to the high volume of spare parts managed and the intermittent or lumpy nature of demand. Inefficient inventory management has led to stockpiling of certain items and shortages of frequently used materials. This study aims to classify spare parts used in the CO? Compressor of PIM-1 Plant using a multi-criteria analysis method, considering critical factors related to maintenance and logistics. The classification categorizes spare parts into three groups: high, medium, and low. Out of 20 spare parts analyzed, 18 items were classified as high priority (requiring stock), while 2 items were classified as low priority (non-stock). Forecasting for the 18 high-priority items was conducted using three methods: Single Exponential Smoothing (SES), Syntetos-Boylan Approximation (SBA), and Croston. The forecasting errors were evaluated using the Mean Absolute Deviation (MAD). The results indicated that SES yielded the smallest error with an average MAD of 2.15, compared to SBA (2.24) and Croston (2.37). Implementing this approach resulted in a 22% reduction in inventory costs, decreasing the estimated inventory cost for 2023 from IDR 3.428 billion to IDR 2.681 billion. This demonstrates the importance of applying appropriate methods in spare parts management to enhance operational efficiency and support the company's objectives.
Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels Fradinata, Edy; Noor, Muhamad Mat; Kesuma, Zurnila Marli; Suthummanon, Sakesun; Asmadi, Didi
International Journal of Advances in Intelligent Informatics Vol 10, No 1 (2024): February 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i1.631

Abstract

In recent years, inventory has been critical due to the production cost and overstock risk related to the expiration date and the fluctuation price risk. This study's minimization of overstock and price fluctuation in the warehouse used a hybridized artificial neural network (ANN) and analytical hierarchy process (AHP) to produce an optimum model. The variables, such as average demand, reorder point, order quantity, factor service level, safety stock, and average inventory level, were used to obtain the optimal condition of the average inventory levels to maximize the profit. Then, the type of inventory system that guarantees the minimum risks in managing the inventory would be selected. The result shows that the data has a mean of 39.2 units, and the standard deviation (SD) was 12.9. This means that the order quantity is 20.2 units, the average inventory level is 57.3, and the average demand is 39. These conditions used the factor z, which is 97% service level. This study concludes that the optimum average inventory level is 91 units, the order quantity is 11 units with the maximum average profit is $1098, and the peak fluctuation condition maximum profit is $1463 when the average inventory level is 7.3, and the inventory policy system used to minimize the risk is the continuous review policy type. The study could be beneficial to reduce production costs and enhance overall profitability and operational efficiency in the sector by mitigating the risks associated with excessive inventory and price volatility while also minimizing the potential for expired inventory.
OPTIMIZATION OF THE ACEH BEEF CATTLE PRODUCTION AND PROCESS USING SWOT ANALYSIS AND INDUSTRIAL SUPPLY CHAIN APPROACHES Mizan Us, Khairol; Yaman, M. Aman; Fradinata, Edy
Jurnal Kedokteran Hewan Vol 15, No 2 (2021): June
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v15i2.19684

Abstract

The problem in management process and production of Aceh beef cattle farms in Aceh Besar has not been explored. This study aimed to determine the basic system of supply chain for the Aceh beef cattle production in Central Aceh Besar developed a model for optimizing the supply chain management and sustainability to increase productivity and business efficiency. This research used SWOT analysis and industrial supply chain approaches. The results showed that the current supply chain system of the Aceh beef cattle industry in Aceh Besar which has been running so far, needs to be strengthened to increase production and population of Aceh beef cattle in the future. There were 4 issues were identified: time, 29.6% faster than the current supply chain supply time; method, 60% no longer needed a business intermediary; cost, 21.4% of the live weight price of cattle was cheaper than the live weight price of current supply chain cattle; and stages, 30.8% shorter than the ongoing supply chain stages. The result of the SWOT analysis matrix showed that the SO (strength-opportunities) strategy was the main strategy for business developing of Aceh beef cattle in Central Aceh. In conclusion, it is necessary to optimize the implementation of the supply chain of Aceh Cattle Industry at Central Aceh by utilizing its strengths and suppressing the existing weaknesses from the breeding production to marketing process.
OPTIMALISASI TEMPAT TIDUR MENGGUNAKAN MODEL SISTEM DINAMIK DI RUMAH SAKIT ZAINAL ABIDIN KOTA BANDA ACEH Kesuma, Zurnila Marli; Fradinata, Edy; Fitri, Aida
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 3 No 1 (2021)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v3i1.7859

Abstract

Sistem dinamik dapat digunakan untuk sistem yang kompleks. Model sistem dinamik menyediakan cara untuk memahami bagaimana penyebab perilaku suatu sistem, mendeteksi perubahan dari waktu ke waktu dan penentuan faktor-faktor yang meramalkan perilaku secara signifikan. Model sistem dinamik juga memungkinkan dalam penentuan skenario yang masuk akal sebagai masukan untuk keputusan dan kebijakan suatu sistem. Pelayanan rawat inap di Rumah Sakit Umum Daerah dr. Zainoel Abidin (RSUDZA) memiliki 710 tempat tidur yang didistribusikan ke beberapa ruangan. Dalam prakteknya, pasien lebih memilih dirawat di rumah sakit swasta daripada RSUDZA, dikarenakan lamanya menunggu sampai mendapat tempat tidur untuk rawat inap. Tujuan penelitian ini adalah untuk mengoptimalisasi pemakaian tempat tidur rawat inap di RSUDZA dengan menggunakan metode sistem dinamik. Berdasarkan perilaku suatu sistem, diramalkan jumlah pasien dengan tempat tidur dan membuat beberapa skenario sebagai alternatif kebijakan untuk rumah sakit.. Data yang digunakan yaitu data bulanan jumlah pasien dengan tempat tidur yang berjumlah 16 bulan dari bulan Januari tahun 2018 sampai bulan April tahun 2019 yang diperoleh dari RSUDZA Banda Aceh. Data diolah dan dianalisis menggunakan software Vensim PLE versi 6.3. Hasil penelitian menunjukkan bahwa terdapat dua ruangan dengan jumlah kapasitas tempat tidur belum optimal, yaitu ruang Aqsha dan Raudhah. Hasil peramalan jumlah pasien dengan tempat tidur rawat inap ruang Aqsha dan Raudhah, diperoleh bahwa jumlah pasien dengan tempat tidur cenderung menurun dari waktu ke waktu. Pada skenario pengoptimalan tempat tidur di ruangan Aqsha, diperoleh bahwa skenario 3 merupakan skenario terbaik dengan menurunkan laju pasien yang mendaftar rawat inap sebesar 10%, dengan nilai MAPE yang diperoleh sebesar 4,3%. Selanjutnya, skenario pengoptimalan tempat tidur di ruangan Raudhah, diperoleh bahwa skenario 4 merupakan skenario terbaik dengan menurunkan laju pasien yang mendaftar rawat inap sebesar 15%, dengan nilai MAPE yang diperoleh sebesar 6,34%
Co-Authors Arhami, Arhami Asmadi, Didi Faryani, Lena Fitri, Aida Husni , Husni Irwanysah, Irwanysah Laturrahmi, Rizki M. Aman Yaman Mizan Us, Khairol Noor, Muhamad Mat Suthummanon, Sakesun Zulfiadi, Zulfiadi Zurnila Marli Kesuma