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All Journal Jurnal Teknologi Industri Pertanian TEKMAPRO Journal of Industrial Engineering and Management Jurnal Teknologi JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura REKAYASA IMAGE OPERATION EXCELLENCE: Journal of Applied Industrial Engineering ITEj (Information Technology Engineering Journals) Jurnal Sistem dan Manajemen Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri EKONOMIS : Journal of Economics and Business AFEBI Management and Business Review JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Journal of Humanities and Social Studies Jurnal Sistem Cerdas Maker: Jurnal Manajemen JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Social and Environmental Issues (IJSEI) JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Nusantara Science and Technology Proceedings Humanism : Jurnal Pengabdian Masyarakat Indonesian Journal of Industrial Engineering & Management Journal La Lifesci Journal La Multiapp Industrika : Jurnal Ilmiah Teknik Industri Jurnal Talenta Sipil Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE IIJSE Spektrum Industri
Farida Pulansari
Fakultas Teknologi Industri, Jurusan Teknik Industri, Univesitas Pembangunan Nasional ”Veteran” Jawa Timur, Jl. Rungkut Madya Surabaya 60294
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PEMILIHAN SUPPLIER TEBU MENGGUNAKAN INTEGRASI AHP-TOPSIS PADA AGROINDUSTRI TEBU Zahira, Nabila Fairuza; Pulansari, Farida
Jurnal Teknologi Industri Pertanian Vol. 33 No. 3 (2023): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2023.33.3.267

Abstract

Business competition is getting tougher, making business idea owners vying to produce high quality products. One aspect that determines the quality of the products produced is the selection of manufacturing raw materials. The objective of this study was to identify the most suitable sugarcane suppliers with a set of criteria and sub-criteria. Supplier evaluation is required for the acquisition of sugarcane raw materials. Geographical factors, quality, performance history, impression, capacity, and delivery are all taken into account as evaluation criteria. In this study, AHP (Analytical Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) were used to determine the order of preference of sugarcane suppliers, with AHP assigning different probability values to each criterion and TOPSIS directing customers towards the most reliable supplier. Supplier 1 has a preference value of 0.5038, Supplier 2 has a value of 0.4258, Supplier 3 has a value of 0.2931, Supplier 4 has a value of 0.5686, and Supplier 5 has a value of 0.1715. This study used a total of six characteristics and the most influential of which is quality. Keywords: AHP, sugarcane, supplier selection, TOPSIS
Performance Evaluation of Dolomite Fertilizer Production: AHP and Scoring System Approach Based on Performance Prism Sholeha, Fitriatus; Pulansari, Farida
Rekayasa Vol 17, No 2: Agustus, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i2.25701

Abstract

Fertilizer production often faces various performance issues that can affect efficiency and productivity. One of the main problems is the instability in the quality of raw materials, which can result in variations in the quality of the final product. Workforce performance is also a critical factor, where inadequate training and low motivation can reduce productivity. The lack of an appropriate performance measurement system, such as relevant and accurate Key Performance Indicators (KPIs), can make it difficult for companies to monitor and improve their overall performance. To address these challenges, a performance measurement system is needed that can integrate various aspects of the company (stakeholders). This performance measurement system must be able to accommodate the interests of various parties involved in the company's operations to produce more accurate and relevant information. The performance measurement approach referred to is known as the Performance Prism. It is then supported by using the Objective Matrix (OMAX) method to determine the ranking and class calculation of each KPI and the Traffic Light System (TLS). Based on performance measurements using the Performance Prism, Analytic Hierarchy Process (AHP), and Scoring System at PT. XYZ, there are 53 KPIs divided among various stakeholders. From this analysis, it can be concluded that the design of the company's performance measurement encompasses various aspects involving both internal and external stakeholders. The total performance index of 13.43 indicates overall good performance. In this case, the total KPIs used are 53 KPIs, which include 10 KPIs for employee stakeholders, 5 KPIs for owner stakeholders, 10 KPIs for customer stakeholders, 5 KPIs for government stakeholders, 4 KPIs for investor stakeholders, 10 KPIs for supplier stakeholders, 4 KPIs for partner stakeholders, and 5 KPIs for surrounding community stakeholders. According to the results of the Objective Matrix (OMAX) and Traffic Light System (TLS), it can be seen that 47 KPIs fall into the green category, indicating good achievement, while 3 KPIs fall into the yellow category, and 3 other KPIs fall into the red category, indicating areas requiring further attention for improvement.
Supply Chain Risk Mitigation Analysis on Coffee Comodities Using the Integration of FMEA and HOR Methods Wulansari, Ni Luh Made Pretty; Pulansari, Farida
Rekayasa Vol 17, No 2: Agustus, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i2.25623

Abstract

Coffee has been a global commodity since its discovery, so it's not surprising that there are various coffee cultivation variations in different regions. Economically, coffee plays a significant role in coffee-producing countries, including Indonesia, where it is cultivated and produced. The company is one of the companies engaged in the manufacturing of powdered coffee production. In its efforts to meet market targets, the company faces challenges. Therefore, a supply chain analysis is conducted on the coffee production process to identify occurring risks. The resolution of issues in this research utilizes the integration of FMEA and HOR methods. The application of these integrated methods about supply chain risk mitigation analysis has also been widely developed. Based on the risk identification results in HOR stage I, there are 17 risk events caused by 25 risk causes. Out of 25 risk causes, 11 dominant risk causes are obtained based on ARP calculations. Then, in HOR stage II, 17 mitigation steps are designed to prevent or minimize the 11 dominant risks obtained from the HOR phase I calculations. After calculating the total effectiveness and degree of difficulty, the results of the mitigation effectiveness ranking based on the difficulty ratio (ETDk) with the highest value carried out routine preventive maintenance on milling equipment to prevent damage and process instability (PA 7) of 16143.21, and the last rank prepared a backup of coffee machines or critical components to reduce production downtime (PA 16) of 1406.16.
Application of the Min-Max Stock Method in the Inventory Control of the Raw Materials for the Cement Production at PT XYZ Hasan, Iqbal Abdurrahman; Pulansari, Farida
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 3: October 2023
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v4i3.20953

Abstract

PT XYZ is the largest cement manufacturer in Indonesia that produces cement with different types of cement, namely OPC, PCC, and PPC. The implementation of its production process, starts with the mixing of raw materials, processing, and packaging to the finished product, namely cement. PT XYZ has a problem in the form of raw material inventory that has not been well controlled because the raw materials are often placed outside the storage area provided by the company due to overloading, thus taking up space that should not be used as a raw material storage area. In this study, the minimum-maximum method is applied to 4 types of raw materials, silica sand, gypsum, trass, and fly ash. By determining the amount of safety stock, minimum stock, maximum stock, reorder point and order quantity, companies can effectively determine the raw material inventory policy to avoid overstock or stockout. The study uses a 99% service level with a 1% risk of out-of-stock products. The results of the study obtained the safety stock value of silica sand 3,854 tons; gypsum 4,405 tons; trass 10,456 tons; and Fly Ash 511 tons. Then, the minimum inventory calculation is carried out, it is known that the minimum inventory results are in Fly ash raw material of 776 tons while the results for maximum inventory are in Trass of 34,613 tons. After the min-max calculation, the ordering policy for each material can be obtained, silica sand 5,255 tons, gypsum 9,111 tons, trass 22,534 tons, fly ash 776 tons.
Analysis of PVC-based Product Inventory Control with Economic Production Quantity and Lagrange Multiplier Methods at PT. XYZ Fitroni, Mochammad Rafqy Al; Pulansari, Farida
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 1: February 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i1.22308

Abstract

PT XYZ is a manufacturing company that produces various kinds of products made from PVC (Polyvynil Chloride). Some of the PVC-based products produced by PT XYZ are transparent sheet, colour sheet, and flooring. The problem that exists at PT XYZ is that the company often produces more than the amount of demand which makes the company have to prepare a storage warehouse with a capacity as large as the number of products produced. With this, the storage warehouse experiences overcapaity in controlling the inventory of products produced by the company. And it can be concluded that the problem that occurs at PT XYZ is inventory control and production quantity planning that has not been well planned. Based on the problems that occur at PT XYZ, the most suitable method used to solve these problems is the Lagrange Multiplier method. This research has a purpose to control the inventory of products made from PVC so as to minimize the total cost of product inventory at PT. XYZ. From the research This study found the optimal production amount of 1,332,999 m. Where with the amount of production, the company needs a warehouse area of 9,299.9 m3. The total inventory cost calculated using the Lagrange Multiplier method is IDR 377,073,841,401 while the company's total inventory cost is IDR 402,844,596,680. So that a savings of IDR 25,770,755,279 or 6.40% is obtained.
Analisis Pemilihan Supplier Bahan Baku Tas Gitar dengan Metode Fuzzy Analytical Hierarchy Process (FAHP) di PT. True Indonesia Wahyu, Imas Prisma; Pulansari, Farida
Ekonomis: Journal of Economics and Business Vol 8, No 1 (2024): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v8i1.1278

Abstract

The use of high-quality raw materials will affect the quality of products produced by a company. Companies really need suppliers who can supply quality raw materials. This can be realized by selecting the most appropriate supplier so that the company can minimize problems that can occur regarding raw material suppliers. PT True Indonesia is a manufacturing company that produces music equipment bags. So far, the company has made decisions in choosing suppliers only with the intuition of the parts related to the procurement of these raw materials. The decision chosen by the company in determining this supplier is often not right. The problems experienced by the company are the quality of raw materials that do not meet the company's criteria and the supplier's delay in sending raw material orders. In this study, the Fuzzy Analytical Hierarchy Process (FAHP) method was used. There are 7 main criteria in choosing a polyester fabric supplier, namely quality, delivery, price, communication system, warranties and claim policies, performance history, and geographic location. From the calculations carried out, the best polyester fabric supplier ranking for PT True Indonesia in order, Tongxiang has a total value of 0,3395, Hantron has a total value of 0,3350, PT. Lambang Jaya has a total value of 0,3340, PT. Shinta Indah Jaya has a total value of 0,3174, and CV. Agung has a total value of 0.3116.
Analisis performa quality rate pada produk moorlife menggunakan metode six sigma dan kaizen serta statistical quality control Bilqis, Delita; Pulansari, Farida
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.38792

Abstract

PT XYZ is a manufacturing company engaged in the plastic container packaging and printing industry, with a focus on high product quality. To maintain production quality, the company has a Quality Control (QC) department that is responsible for controlling and ensuring that the products produced meet the standards. However, the company often faces complaints from customers regarding product inconsistencies, such as inappropriate colors, flowlines, unmolded products  and black spots. Based on the analysis, it was found that the body travel square product has the  highest reject rate  , with a total of 2015 pcs rejects. The types of non-conformities that occurred included black spots (1047 pcs), non-standard colors (624 pcs), unmold (180 pcs), and flowline (164 pcs). To overcome this problem, analysis was carried out using Six Sigma method and Kaizen analysis, as well as Statistical Quality Control. The results of the analysis show that the average Six Sigma value is 3.22 with a minimum target of 3.4 or equivalent to 6 sigma and the average DPMO value is 66,126, indicating that the production quality is quite good.
Analisis transportasi pengangkutan sampah dengan dump truck di PT XYZ pada area Pelabuhan Tanjung Perak dengan metode Dynamic programming Remba, Angga Rizki Dolla; Pulansari, Farida
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.39178

Abstract

The problem of urban waste in Indonesia is a problem that has not been completely solved, it also occurs in the Tanjung Perak Port area. This problem can be overcome by regulating the process of moving and transporting waste based on optimal routes. The purpose of this study is to analyze the waste transportation system in several Depots (TPS) in the Tanjung Perak Port area and compare the transportation cost needs in each waste transportation pattern to find the most optimal route. The stages carried out are to collect data on the distance of the Pool to each Depo/TPS, the distance between TPS, and the distance of each TPS to the Benowo Landfill. The application of the Dynamic programming Algorithm is used to determine the shortest distance, and calculate the minimum operational cost. The results of the study show that the Dynamic programming algorithm can determine the optimal route for the problem of waste transportation routes at each TPS at Tanjung Perak Port with the number of Dump trucks as many as 1 vehicle and the calculation of fuel cost needs per day of Rp.88,413,-.  
Supply Chain Risk Mitigation Strategy Using SCOR with HOR Method at PT. Putra Jaya Nanas Yudiantoro, Stevani Agatha; Pulansari, Farida
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6878

Abstract

The high consumer demand for processed pineapple fruit drinks increases competitiveness, which requires companies to identify and analyze the risks that exist in each company's supply chain activities. One of the companies engaged in the production of pineapple juice drinks experiences high production demand and several other obstacles that affect the performance of the company that is hampered. This study aims to analyze the supply chain in pineapple juice beverage production activities to identify the risks that occur. The solution was carried out using the SCOR model with the House of Risk (HOR) method. Based on the results of risk identification using the HOR stage 1, 20 risk events were obtained, which were caused by 29 risk agents. Through the calculation of the ARP value, 11 causes of risk are presented, which are input to the next calculation, namely the HOR stage 2. In stage 2, 16 risk mitigation designs were obtained that were able to minimize the risk of occurrence. From the effectiveness value of risk mitigation obtained based on the total effectiveness value and the degree of difficulty, it is determined that the highest value to be the company's priority, is recruiting machine technicians (PA4) of 1361.25, and the lowest value is ensuring that the automatic filling machine always works optimally (PA16).
Integrated Saving Matrix - Branch And Bound Method to Optimize Sugar Product’s Distribution Route Devanda, Ryan Rafli; Pulansari, Farida
Spektrum Industri Vol. 20 No. 2 (2022): Spektrum Industri - October 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v20i2.50

Abstract

The problem in product delivery is always being late and the company has not utilized the capacity of distribution transportation equipment to the fullest. This study aims to determine the shortest distribution route and minimize distribution costs using the Saving Matrix -Branch and Bound methods. In this study, the Saving Matrix method use to produce the shortest route distance, while the Branch and Bound method is applied to optimize a route distance. The results found that the Saving Matrix method followed by the Branch and Bound method reduced routes from the previous seven routes to five routes. Meanwhile, The proposed distribution model shortens the route of 23.6% compared to the current, and cost savings is 23%. To conclude, the model of distribution distance affects the costs savings and optimum route
Co-Authors Adistara, Asya Fadhilah Aflah, Rifka Mauliana Ariyanti, Fredika Aura Kusuma Armadani, Aditya Cahya Arzety, Zahra Bagaskara, Tegar Winoto Bilqis, Delita Devanda, Ryan Rafli Dwi Sukma Donorianto, Dwi Sukma Dwi Sukma Donoriyanto, Dwi Sukma Donoriyanto Erlangga, Veto Andhika Fatkur Huda Fergisya, R. A. Luthfi Asia Fitroni, Mochammad Rafqy Al Gilang Ramadhan Gutawa, Ayyub Ihza Haqi, Muhamad Mukhtarul Hardiyanti, Ari Vera Harendsa, Naia Putri Hasan, Iqbal Abdurrahman Hayati, Kinanti Resmi Hidayah, Shesfi Nur Iriani Iriani Kartika, Ardi Puspa Kurniasari, Fadillah Kusuma, Yahya Lailiyah, Wardatul Liddin, Jundana Shidqiyah M., Triyono Dwi Retno Miskiyah, Aliffatul Ningtiyas, Ristina Kusuma Nisa Masruroh Nugraha, Isna Nur Rahmawati Oktaviya, Ananta Permithasari, Nila Febriana Putri, Frydella Krisna Putri, Nadya Permata Qisthosin, Rikza Rahmadsyah, Mohamad Faris Ramadani, Deo Globy Ramadhanti, Viola Indira Remba, Angga Rizki Dolla Restu Rivaldi, Dzikri Sanjaya, Yahya Cakra sholeha, fitriatus Sinta Dewi Sulaiman, Yoga Aulia Susanto, Indhira Prameswari Wahyu, Imas Prisma Winursito, Yekti Condro Wulansari, Ni Luh Made Pretty Yekti, Dini Yudiantoro, Stevani Agatha Yulia Sari, Alma Dwi Zahira, Nabila Fairuza Zidane, Muhammad Azzam