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All Journal 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
Farida Pulansari
Fakultas Teknologi Industri, Jurusan Teknik Industri, Univesitas Pembangunan Nasional ”Veteran” Jawa Timur, Jl. Rungkut Madya Surabaya 60294
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PVC Resin Supplier Selection with Integration of AHP and TOPSIS Methods Putri, Frydella Krisna; Pulansari, Farida
Jurnal Manajemen Industri dan Logistik Vol. 6 No. 1 (2022): page 01 - 176
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v6i1.952

Abstract

Choosing the right suppliers is important for companies to provide raw materials for production in the long run. The sustainability of production activities is tightly controlled by suppliers in the manufacturing industry. A company in Mojokerto that manufactures PVC pipes falls under the plastic pipe industry sector. Raw materials for PVC resins must be ensured through assessments of suppliers. This study was conducted to determine which resin supplier was the best based on predetermined criteria. Variable include: price, quality, delivery, quantity accuracy, and service. To determine the order of preference for resin suppliers, this study uses AHP, which gives the individual a probability score for each criterion, and TOPSIS, which gives the user an indication of which supplier to choose when selecting a resin. As a result of data processing, suppliers are ranked based on their preferences. The preference values for each supplier are: supplier 1, which is 0.927; supplier 2, which is 0.739; supplier 3, which is 0.091; and supplier 4, which is 0.267. There are five parameters used in this study, and quality is known to have an influence of about 47% on the four suppliers. However, the delivery and service parameters only contribute 5%.
Implementation of Reverse Logistics System in the Metal Industry Using Supply Chain Operation References (SCOR) Model with Analytical Hierarchy Process (AHP) Method Pulansari, Farida; Nugraha, Isna; Winursito, Yekti Condro
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.23366

Abstract

As a result of the physical characteristics of metals and their use on a large scale, the industry producing metal products is one of the most important in terms of volume when implementing reverse logistics practices. The relationship between suppliers and customers from the perspective of environmental demands, companies using metal materials are mapped into the Supply Chain operation Reference (SCOR) model. In this study there are Key Performance indicators (KPIs) which are categorized based on the performance attributes of SCOR, namely reliability, responsiveness, agility, cost, and assets management. Using the Analytical Hierarchy Process (AHP) method is an analytical method for the structure of a problem and is used to make decisions on an alternative that is useful for solving complex unstructured problems. The result of this research is that the performance value obtained is a yellow traffic light which means that the application of reverse logistics metal at PT. XYZ has not been implemented properly, so further research must be carried out with primary data in the form of a reverse logistics process each step by step.
The implementation of House of Risk and Interpretive Structural Modeling Approach To Risk Mitigation of Supply Chain Problems In The Fertilizer Industry Haqi, Muhamad Mukhtarul; Pulansari, Farida; Dewi, Sinta
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 17, No 2: April - June 2024
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v17i2.25875

Abstract

PT. Petrokimia is seeing escalating difficulties in their supply chain system. Supply Chain Risk Management evaluations can be conducted using many methodologies. Supply Chain Risk Management (SCRM) is a process that involves identifying, evaluating, and reducing risks that have the potential to disrupt the smooth operation of the supply chain, which includes the movement of goods and services. This research combines prior studies by employing a hybrid approach known as House of Risk (HoR) and Interpretive Structural Modeling (ISM). The House of Risk (HoR) method is employed to identify registered risk agents by assessing the importance of preventative measures and selecting priority actions. The ISM methodology is utilized in this study to construct a structural framework for examining the contextual associations among risk elements in the company's supply chain. The organization experienced many hazards, with a total of 20 risk events generated by 30 risk agents across the Plan, Source, Make, Delivery, and Return stages. According to the Pareto diagram concept, there are 11 risk agents that require prioritized mitigation. Out of the 10 risks identified, 1 risk is categorized as dependent while the remaining risks fall within the autonomous sector. Among the 11 primary risk factors, the one with the highest ARP value is anticipated to serve as a benchmark for addressing several hazards that have arisen in the company's supply chain. The research has studied and generated mitigation measures to avoid production losses, time losses, and quality reduction resulting from hazards that may hinder the achievement of company objectives.
Analisis Pemesanan Konsumen PT. Kepuh Kencana Arum Dengan Metode Root Cause Analysis Kusuma, Yahya; Pulansari, Farida
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 4 No 1 (2025): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v4i1.1783

Abstract

Kepuh Kencana Arum is one of the leading manufacturing companies in the building materials sector, particularly products made of lightweight steel. However, in practice, PT. KKA faces several challenges in the SCM process that impact the company's operational efficiency, especially related to managing order status data. Root Cause Analysis (RCA) is a method used to solve problems by identifying the key factors that cause a problem or an undesirable event. Based on the available order data, the figures for August are 1,365,662 pcs, September 3,389,234 pcs, and October 3,989,930 pcs. In the production section, the figures for August are 1,066,229 pcs, September 2,985,195 pcs, and October 3,394,210 pcs. In August, the recorded shipment total was 931,446 pcs, which then increased significantly in September to 2,715,996 pcs, and continued to grow in October to 3,157,378 pcs.
ANALYSIS OF BOLT SUPPLIER SELECTION USING AHP-TOPSIS AND FUZZY-AHP METHOD COMPARISON (PT STECHOQ ROBOTIKA INDONESIA) Rivaldi, Dzikri; Pulansari, Farida; Kartika, Ardi Puspa
JURNAL MANAJEMEN MAKER STIE SULTAN AGUNG Vol 9 No 2 (2023): Volume 9 Nomor 2 Tahun 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/mjm.v9i2.569

Abstract

Nowadays, problems in the industry are increasingly dynamic, including the problem of sustainable supplier selection. Suppliers will significantly affect the stability of the supply chain, especially issues of accuracy, quality, and delivery time. PT Stechoq Robotika Indonesia is an R&D and manufacturing company that produces appropriate technology with bolt components supplied by seven suppliers. Cases of late deliveries that reach four working days have disrupted the smooth running of production, so it is necessary to review current suppliers with objective methods. This study evaluates bolt suppliers by comparing AHP-TOPSIS and FAHP methods according to specified criteria (price, quality, delivery time, accuracy, service). Both ways produce the same highest-value bolt supplier, Supplier #7, and there is a slight difference for the second and third-order suppliers, namely Supplier #1 or Supplier #3. The study results are used as recommendations in determining the main suppliers, supporting suppliers, and replacement or re-evaluation for the three suppliers with the lowest rank (Supplier #6, Supplier #5, and Supplier #4).
Pengendalian kualitas produk bulk container bag di PT XYZ menggunakan metode Root Cause Analysis Zidane, Muhammad Azzam; 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.v8i1.38592

Abstract

This research uses the Root Cause Analysis (RCA) method to analyze the main causes of defects in bulk container bag/jumbo bag products at PT The four main types of defects, namely hole body, off-center printing, folded body, and dirt, were identified using the Pareto diagram, with hole body being the highest category (37%). The P-chart shows that the production process is within statistical control limits. Fishbone analysis found five main factors that cause defects: people, materials, machines, methods and work environment. Suggested solutions include employee training, stricter raw material selection, machine maintenance, work environment improvements, and implementation of standard operating procedures. The results of this research provide recommendations for quality improvement to reduce defect levels. 
Analisis perbedaan aliran harian dan muka air harian terhadap data debit menggunakan two-way anova dengan mendukung penerapan sistem manajemen Mutu ISO 9001:2015 Hardiyanti, Ari Vera; 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.v8i1.39946

Abstract

This research analyzes differences in daily flow and water level using Two-Way ANOVA in the context of ISO 9001:2015. The study was conducted to evaluate significant differences in data during January-March and their impact on continuous improvement. Flow and water level data showed a normal distribution, reflecting stability, but the homogeneity test results revealed significant variations. Tukey's post hoc test showed significant differences between January-February and February-March, but not between January-March. These variations indicate the need to evaluate causal factors, such as weather patterns or operational instability. The research recommends standardizing procedures to maintain consistency of operational processes. Improved monitoring systems are also needed to ensure data reliability. Regular training for staff is an additional solution to reduce variability and support quality. This step is expected to strengthen the implementation of the principles of ISO 9001:2015.
Analisis tingkat kepuasan pelayanan loket pemuatan produk pupuk in-bag menggunakan uji tanda & uji wilcoxon (Studi kasus: PT Petrokimia Gresik) Oktaviya, Ananta; 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.v8i1.39977

Abstract

PT Petrokimia Gresik is a subsidiary of PT Pupuk Indonesia which is engaged in the fertilizer producer sector. This study was conducted to analyze the level of service satisfaction, measure whether there is a significant difference before and after implementation using the normality test, non-parametric statistics (sign test and Wilcoxon test), and correlation test. In the sign test and Wilcoxon test, 0 data with negative differences, 0 data ties, and 100 data positive differences were obtained from a total of 100 data. In the sign test, the Z-score value was -9.900 and in the Wilcoxon test, the Z-score value was -8.815. In the normality test, the significance value is 0.000, and 0.000 where ? 0.05, indicating that H0 is rejected, then the data is not normally distributed, in the sign test, the significance value is 0.000 ? 0.05 which means H0 is rejected, then there is a significant difference between before and after the implementation of Smart Warehouse Self Check-In and Check-Out, in the Wilcoxon test, the significance value is 0.000 ? 0.05 which means H0 is rejected, then there is a significant difference between before and after the implementation of Smart Warehouse Self Check-In and Check-Out, in the correlation test, the significance value is 0.000 ? 0.05, then H0 is rejected and H1 is accepted, meaning there is a correlation between the data before and after the implementation of Smart Warehouse Self Check-In and Check-Out. This research can help solve problems and improve the level of service at the Warehouse and Packing Department counters.
Analisis Pengendalian Kualitas Produk Ayam Utuh pada PT XYZ dengan Metode Statistical Quality Control (SQC) Miskiyah, Aliffatul; Pulansari, Farida
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v7i1.6441

Abstract

PT. XYZ is a producer of slaughtered chicken and has a chicken slaughterhouse with the largest production capacity in Indonesia. PT XYZ has various types of products, the most in demand is whole chicken, but in the production process, whole chicken products have a greater number of defects than other products. The solution of the problem can be done using the Statistical Quality Control (SQC) method. This study aims to identify and analyze the quality of whole chicken products in PT XYZ using the Statistical Quality Control (SQC) method, determine the factors that cause non-conformities in whole chicken products, and find out improvement efforts using 7 stages of more detailed and detailed problem solving, such as Check Sheets, Pareto diagrams, scatter charts, histograms, control charts, stratifications, and fishbone diagrams. Based on the data processing, the following results were obtained, out of a total sample of 170,800 whole chickens, there were 16,149 that experienced non-conformities; Based on Pareto chart analysis, the dominant types of defects were abnormal Leg Cutters (59%), blistered chicken wings (22%), and broken chicken wings (19); Process stability: Analysis of the control chart shows that the production process is out of control at some point, indicating that there are variations that need to be corrected. This research can increase knowledge about analytical models and product quality.
Analisis risiko potensi bahaya dan pengendalian dengan metode HIRADC pada pabrik asam fosfat (Studi kasus: PT XYZ) Ramadani, Deo Globy; 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.v8i1.39465

Abstract

Occupational health and safety (OHS) in the phosphate acid plant industry is crucial due to the potential hazards from chemical substances and mechanical equipment. This study analyzes hazard identification, risk assessment, and control measures using the HIRADC method at PT XYZ. The results show that HIRADC effectively reduces risks from high to moderate or low categories. Key identified hazards include liquid spills, forklift-related risks, conveyor entrapment, ball mill noise, and phosphate rock dust exposure. Control measures implemented include regular cleaning, safety signage, personal protective equipment (PPE), and the LOTO system. This study recommends further research to enhance risk management effectiveness.
Co-Authors Adistara, Asya Fadhilah Aflah, Rifka Mauliana Ariyanti, Fredika Aura Kusuma Armadani, Aditya Cahya Arzety, Zahra Bagaskara, Tegar Winoto Dwi Sukma Donorianto, Dwi Sukma Dwi Sukma Donoriyanto, Dwi Sukma Donoriyanto Erlangga, Veto Andhika Fatkur Huda Fergisya, R. A. Luthfi Asia Gilang Ramadhan Gutawa, Ayyub Ihza Haqi, Muhamad Mukhtarul Hardiyanti, Ari Vera Harendsa, Naia Putri 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 Restu Rivaldi, Dzikri Sanjaya, Yahya Cakra Sinta Dewi Sulaiman, Yoga Aulia Susanto, Indhira Prameswari Winursito, Yekti Condro Yekti, Dini Yulia Sari, Alma Dwi Zidane, Muhammad Azzam