Article Per Year (5 Year)
p-Index From 2021 - 2026
2.419
P-Index
This Author published in this journals
All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Industri Inovatif : Jurnal Teknik Industri Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Industrial Engineering & Management JURNAL TEKNIK INDUSTRI Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Indonesian Journal of Maritime Technology or abbreviated (ISMATECH)
Wahyuda, Wahyuda
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Analisis Pengendalian Persediaan Suku Cadang Menggunakan Metode Economic Order Quantity dan Silver Meal Bara, Yogi Zefanya Batu; Wahyuda, Wahyuda; Sitania, Farida Djumiati
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 4 (2025): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i4.50521

Abstract

Spare parts inventory is a crucial component in supporting the smooth operation of mining service companies, one of which is PT. XYZ. The company faces excess inventory of workshop support spare parts, particularly oil filters (21707133, 21707132) and fuel filter (22480372). Data processing begins with a variability test, followed by forecasting, and then inventory calculations using the Economic Order Quantity (EOQ) and Silver Meal (SM) methods. The variability test results indicate that oil filters are static (V<0.25), while fuel filters are dynamic (V≥0.25). Forecasting is conducted using a moving average, with MAPE values of 14%, 13%, and 12% respectively. The results show that the total inventory cost amounted to Rp398,085 or 39% lower than the company’s current policy. The optimal order quantity for fuel filter 22480372 from periods 1 to 12 in succession is 20, 21, 20, 18, 18, 19, 18, 18, 20, 20, 19, and 19. 
Analisis Pengendalian Persediaan Dengan Menggunakan Metode Economic Order Quantity Mahendra, Rahul Ihza; Sitania, Farida Djumiati; Wahyuda, Wahyuda
JTI: Jurnal Teknik Industri Vol 9, No 2 (2023): DESEMBER 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v9i2.22677

Abstract

UMKM XYZ merupakan usaha produk amplang yang berdiri sejak tahun 2010. Produk amplang yang diproduksi oleh UMKM XYZ yaitu amplang ikan bandeng. UMKM melakukan produksi amplang 3 kali dalam sebulan, dalam sekali produksi dapat menghasilkan kurang lebih 90 kg amplang dengan ikan yang diperlukan sebanyak 50 kg tiap produksinya. Pada pemesanan ikan, UMKM melakukan 2 kali pemesanan sebanyak 20 kg sampai 30 kg, karena pemesanan yang tidak terjadwal dan kuantitas pemesanan yang kurang tepat mengakibatkan UMKM mengalami kekurangan ikan dan tingginya biaya persediaan. Dari permasalahan pada UMKM Karya Usaha Bersama dilakukan penelitian menggunakan metode EOQ untuk menentukan berapa kuantitas pemesanan ikan dan meminimalisir biaya persediaan. Dari hasil perhitungan lot sizing dengan metode EOQ didapatkan bahwa kebijakan UMKM memiliki biaya pemesanan tertinggi, yaitu sebesar Rp. 1.976.000,00 sedangkan biaya pemesanan pada metode EOQ lebih rendah 25%, yaitu sebesar Rp. 494.000,00. Pada biaya penyimpanan metode EOQ memiliki biaya yang lebih tinggi yaitu sebesar Rp.503.568.12 karena pengoptimalan persediaan pada UMKM yang mengalami kekurangan ikan, pada kebijakan UMKM memiliki biaya yang rendah yaitu sebesar Rp. 150.975,33. Pada total biaya persediaan UMKM yaitu sebesar Rp. 2.126.975,33 sedangkan pada metode EOQ 47% lebih rendah yaitu Rp. 997.568,12. Secara keseluruhan metode EOQ merupakan metode yang paling baik dalam merencanakan persediaan ikan untuk 12 periode mendatang karena menghasilkan biaya persediaan yang paling minimum dan mengurangi resiko kehabisan ikan dibandingkan dengan metode kebijakan. Kata kunci: Persediaan, bahan baku, EOQ.
Analysis of Raw Material Inventory Control in The Amplang Production Process (Case Study: UD Taufik Jaya Makmur) Mangkona, Fadhylah Anasia; Wahyuda, Wahyuda; Sitania, Farida Djumiati
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31071

Abstract

UD Taufik Jaya Makmur is an SME that produces amplang in various shapes and packaging sizes. Inventory control at this SME faces several issues, such as the lack of production scheduling, high inventory costs, and changes in raw material prices, especially for tapioca flour and fish. These problems impact the quality of service and provide opportunities for competitors to attract consumers. Therefore, a deterministic method is employed to achieve optimal inventory control, which includes methods such as Economic Order Quantity (EOQ), Period Order Quantity (POQ), Least Unit Cost (LUC), Least Total Cost (LTC), Economic Part Period ( EPP), Part Period Balancing (PPB), Silver Meal, and Wagner Within. Calculations indicate that the optimal inventory for tapioca flour, after considering the minimum purchase lot from suppliers and warehouse capacity, is achieved using the Economic Part Period (EPP), Part Period Balancing (PPB), and Wagner Within methods. The inventory cost for meeting the demand for the next year is IDR733.802, with savings reaching 72% compared to the business policy. For fish, the optimal inventory is achieved using the Period Order Quantity (POQ), Least Unit Cost (LUC), Least Total Cost (LTC), and Wagner Within methods. The inventory cost is IDR9.159.728, with savings reaching 37% compared to the business policy. Sensitivity analysis shows that inventory control for tapioca flour and fish is sensitive to ordering costs (distribution), necessitating recalculations if there are future changes.
Optimization of Fast Moving Consumer Goods Distribution Routes Using Vehicle Routing Problem at PT Cahaya Mahakam Samarinda Panjaitan, Irma Adelina; Wahyuda, Wahyuda; Asdi, Ridzky Zul
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.33473

Abstract

PT Cahaya Mahakam Samarinda, as one of the companies engaged in the distribution of fast-moving consumer goods, serves a variety of customers, including wholesalers, small shops, and food businesses. Based on the initial observations that have been made, the determination of distribution routes is carried out by the warehouse manager, who subjectively determines the route based on personal observations before the driver delivers consumer products because the company does not yet have the appropriate tools or methods to determine the route. This sometimes forces drivers to search for customer locations directly in the field if they have never delivered to that customer before, and sometimes there are inaccuracies in selecting the delivery route to the next customer. In this problem, it falls under the Vehicle Routing Problem, which is solved using the cluster first, route second approach with the Sweep method to create clusters and Nearest Neighbor with manual calculations, as well as Branch and Bound with calculations using the WinQSB software to determine the route for each created cluster. The results of both route creation methods were compared with the initial route. Based on the research results, the Sweep method produced 9 fewer clusters compared to the initial route of 11 clusters. In route determination, the Nearest Neighbor method resulted in a distance savings of 55.4 km (20.11%) and a cost savings of IDR 74,190.43. The Branch and Bound method resulted in savings of 64.6 km (23.47%) and cost savings of IDR 93,144.07.
Distribution Truck Route Optimisation at UDMB Using The Clarke and Wright Savings and Cluster First Route Second Maulidina, Fayza; Sitania, Farida Djumiati; Wahyuda, Wahyuda
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 10 NUMBER 2 SEPTEMBER 2025
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/mv15pp96

Abstract

UDMB is a distributor company of frozen food products in East Kalimantan and North Kalimantan. Time and distance are the biggest obstacles felt by companies in the distribution process. It is because the product must be at a minimum temperature of -18o Celsius so that the product remains in good condition. Meanwhile, the cooling machine on a distribution truck can only maximize working temperature for 6 hours. These travel time and distance problems have occurred more than 12 times a year in out-of-town distribution. Therefore, this research aims to produce an optimal distribution routes with consideration of the fastest time and shortest distance. This problem is solved using the Clarke and Wright Savings Method with the Head and Tail concept and the Cluster First Route Second Method with Sweep Algorithm and Nearest Neighbor. Then, the total distribution time and distance between the results of the two methods are compared. Based on the first results, the total trucks used are 3 units with a total distribution time of 847 minutes and a total distribution distance of 475.8 km. Based on the second results, the total trucks used are 3 units with a total distribution time of 875 minutes and a total distribution distance of 483.8 km. This shows that the Clarke and Wright Savings Method with the Head and Tail concept is the method that produces the most optimal route with the fastest total distribution time and shortest total distribution distance.   DOI: https://doi.org/10.51557/mv15pp96
Determination of Optimal Cylinder Gas Packaging Distribution Routes Through the Solution of the Capacitated Vehicle Routing Problem at PT Samator Gas Industri Balikpapan Surianto, Vincent; Wahyuda, Wahyuda; Sitania, Farida Djumiati
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31786

Abstract

The distribution of industrial and medical gases in Indonesia faces significant supply chain challenges. In general, the distribution is not yet fully adequate to meet the continuously growing demand. Based on this industrial issues, the researcher conducted an observation of PT Samator Gas Industri Balikpapan distribution activities. The company has not maximized the truck load by only loading 60 to 80 cylinders per truck. The issue has resulted in fuel costs not being optimal. Another issue arises because the distribution routes is done subjectively without considering the best route to deliver products. In this research, the issue was addressed by solving the Capacitated Vehicle Routing Problem (CVRP) using the Clarke-Wright Saving Heuristic Algorithm and the Sweep Algoritm (cluster first, route second), combined with the Nearest Neighbor route sorting method. Based on the research results, the Clarke-Wright Saving Heuristic Algorithm successfully reduced the travel distance to 167.1 km and resulted in fuel cost savings of IDR402,051.67 (49.21%). Meanwhile, the route generated by the Sweep Algorithm also showed better results compared to the initial route. The Sweep Algorithm produced savings of IDR340,465.00 (41.67%). Although the results obtained were not better than those of the Clarke-Wright Saving Heuristic Algorithm, the Sweep Algorithm has the advantage of simplifying the grouping process of delivery points based on their geographical proximity, making the route more efficient even without complex calculation steps.
Co-Authors Andi Trimulyono Arifuddin, Andi Mursid Nugraha Awali , Jatmoko Bara, Yogi Zefanya Batu Dutho Suh Utomo Febrianice, Febrianice Gunawan, Suwardi Kurniawati, Diniar Mungil Kusuma, Andhi Indira Lumenta, Karine Nathania Mahendra, Rahul Ihza Mangkona, Fadhylah Anasia Marie, Iveline Anne Marie Maulidina, Fayza Mentaruk, Ayup Mubarog, Resky Muhammad Wahyudi Nurlita, Nabila Panjaitan, Irma Adelina Putrianti, Elsa Eka Rahmat Hidayat Ridzky Zul Asdi Rohimsyah, Fikan Mubarok Saadiyah, Devy Setiorini Samsu Dlukha N Sitania, Farida Djumiati Surianto, Vincent Surjasa, Dadang Surjasa Taufik Hidayat Yudi Sukmono, Yudi