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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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The Unrelated Parallel Machine Scheduling with a Dependent Time Setup using Ant Colony Optimization Algorithm Pulansari, Farida; M., Triyono Dwi Retno
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.65-74

Abstract

The unrelated parallel machine scheduling (PMS) problem is essential for the manufacturing industry. Scheduling will save company resources, especially time management. By solving scheduling problems quickly and precisely, the company can get more profit. On that note, this paper focused on unrelated PMS problems, which did not consider the inherent uncertainty in processing time and set up time by minimizing the makespan and tardiness. This paper aimed to minimize the makespan and tardiness using timing considerations. This paper described how to schedule unrelated parallel machines using the Ant Colony Optimization (ACO) Algorithm approach. The ACO is beneficial for inherent parallelism problems and can provide fast and reasonable solutions. This study revealed that the results of ACO Algorithm scheduling were obtained under a steady condition in iteration 30467. This condition can be interpreted that the makespan and tardiness value is close to 2.75%. By minimizing the makespan and tardiness, the delay of product delivery to consumers can be anticipated. Moreover, a company can maintain customer satisfaction and increase its profit.
Analysis of Reverse Logistics Implementation in Improving Operational Efficiency Arzety, Zahra; Pulansari, Farida
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.502

Abstract

In the era of globalization and increasingly fierce competition, some industrial companies are required to focus not only on product and distribution efficiency but also on post-consumer product management. Supply chain issues need to be considered because they are related to the productivity of the company, if the supply chain management of a company runs well, the company's goals will be achieved, and vice versa. In addition to helping implement the principle of reducing, reusing, and recycling, reverse logistics also acts as feedback from customers on the product (finished or unfinished), including the sustainability aspect of the product. The frequent return of kWh (kilowatt-hour) meters in households thatoccur returns/defects and are returned from the reporting of consumers or customers that still exist and also the handling of companies that have not met the standards and strategies for the future. The results of the analysis of the maturity level of the implementation of reverse logistics in these three companies can be categorized at level 3 (Developed Level) with the results of measurements using MSI (Method of Successive Interval) successively are 2.549; 2.292; 2.459; 2.932; 2.677. With the calculation of scores on IFE and EFE in the IE matrix, it is in quadrant II (medium-high).
Environmental Impact Analysis of Leather Production Using The Life Cycle Assessment and Analytical Network Process Methods Rahmadsyah, Mohamad Faris; Pulansari, Farida; Dewi, Sinta
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 6 No. 1 (2025): April
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v6i1.1801

Abstract

The leather industry is one of the fields that produces hazardous waste for the environment. One example is CV XYZ, a leather manufacturing company based in East Java, Indonesia. Liquid waste produced per production batch is over 4,000 liters and the electricity consumed is a maximum of 5,000 kWh per month. This study focuses on the environmental impacts in the leather production process of the CV XYZ using the Life Cycle Assessment (LCA) method. Additionally, the Analytical Network Process (ANP) method is used to select alternative improvements given that it minimizes environmental impact. The method of research used in this study is descriptive quantitative, and the source of primary data is interviews and questionnaires, while that of secondary data comprises a company report. The data were processed with SimaPro software and using the Eco Indicator 99 method. The results of the study suggest that the greatest impact on the environment is respiratory inorganic, with a value of 221.69 Pt, being caused by the process of chrome tanning due to the application of the process based on the use of chromium fuel, using a chrome raw material. As an alternative improvement to reduce chrome tanning waste content in chromium, the addition of coagulants CaO and FeCl3 is prioritized. To do so, this study underscores how handling the environmental impacts in the leather industry in a clean production way is to preserve human health and the ecosystem of the places around this industry while attempting to achieve this objective.
Selection of Raw Material Suppliers For Yarn Based on Sustainable Supply Chain Management Criteria Using Fuzzy Analytical Hierarchy Process (FAHP) and TOPSIS Methods at PT XYZ Yulia Sari, Alma Dwi; Pulansari, Farida; Nugraha, Isna
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 6 No. 1 (2025): April
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v6i1.1802

Abstract

The industrial revolution and mass production directly increased human productivity and significantly impacted the environment. Amid these environmental problems, companies created environmentally friendly production strategies and prioritized economic factors (profit) and how they impact the social environment. This makes sustainable supply chain management in Sustainable Supplier Selection (SSS) increasingly in demand because it can affect the company's environmental performance. Companies that can improve their environmental and social performance will be able to increase their competitive advantage and impact, increasing revenue, market share, and a more positive green image of the company. There is no research on sustainable supplier selection in the sarong industry, especially in Indonesia. Therefore, research is needed on the sector because it dramatically affects environmental performance. One of the companies engaged in the sarong industry is XYZ company. This study aims to evaluate Supplier performance based on sustainable aspects (economic, environmental, social) using the cut-off point method for selecting sub-criteria, FAHP for assigning sub-criteria weights, and TOPSIS for ranking Suppliers based on predetermined sub-criteria. As a result of data processing, suppliers are ranked based on their preferences. As a result, Supplier 2 (S2) ranked first with a preference value of 0.9210, followed by Supplier 1 (S1) with a preference value of 0.7514, Supplier 3 (S3) with a preference value of 0.3166, and Supplier 4 (S4) with a preference value of 0.00019.
Analysis of Spare Parts Inventory Control Using the Min-Max Stock Method and Continuous Review Lailiyah, Wardatul; Pulansari, Farida; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2011

Abstract

Inventory is one component that has an important role in a company. The smooth production process and demand fulfillment will be greatly influenced by how to manage this component properly. PT XYZ, as one of the strategic power generation units in Indonesia, is responsible for providing a stable supply of electricity. As a company that relies on the reliability of machines and spare parts, good inventory management is essential. The problems faced include the inaccuracy in the procurement of spare parts which causes overstock or stockout with a range of around 10% to 20% which can disrupt the operation of the plant. improvements in inventory control are made using the Min-Max Stock and Continuous Review methods, both of which maintain a balance between inventory costs and spare parts availability to compare the smallest total inventory cost including ordering costs and storage costs. In addition, this research has novelty by providing recommendations for mitigating downtime risks to optimize spare parts inventory control in the power generation industry. Based on the results of the calculation of total inventory costs, the min max stock method is proven to be able to produce lower inventory costs and get savings of Rp 159.961.310 or around 25%. This efficiency proves that the application of Min-Max Stock can optimize spare parts inventory costs.
Analysis of Finished Product Warehouse Activity Flow Using Lean Warehouse Method Harendsa, Naia Putri; Pulansari, Farida
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.202

Abstract

This company is a light steel processing manufacturing company that specializes in the production of hollow structural sections. A warehouse is the main component that enables a company's operational functions. The role of the warehouse is not only focused on storage and distribution but also on operational efficiency which can have an impact on business competitiveness. Warehousing activities at this company ain’t been optimal due to waste. Waste that occurs such as searching for empty areas for storage, waiting time for the next process, repeated product inspections, has an impact on the flow of warehousing activities. This study seeks to assess the amount of waste and provide recommendations to minimize waste within the finished product warehousing operations at this company. This study uses the Lean Warehousing method consisting of Value Stream Mapping, Process Activity Mapping, and 5 Whys Analysis. The results of this study identify 4 wasteful activities with the highest time such as waiting for the customer’s cargo truck to pick up products (I10), moving products to the truck loading bed (C5), moving products from the production floor to the storage area (S5), waiting for the next process in order to move products (P2). The proposed improvements can reduce 8 non-value-added activities and trim activity time by 1015 minutes. The suggested improvements also increase Process Cycle Efficiency by 15.32% from 11.17% to 26.49%. This proves that the implementation of lean warehouse can improve efficiency and service quality as a whole.
Analysis of Emissions and Environmental Impacts of the Production and Distribution Process of Two Aspect Traffic Lights Using the Life Cycle Assessment Method Yekti, Dini; Pulansari, Farida; Rahmawati, Nur
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6539

Abstract

In Indonesia, carbon emissions declarations are still voluntary and their implementation by the business world is still rare. This study analyzes the potential environmental impacts and large emissions resulting from the supply chain traffic light (production and distribution) of traffic lights in two aspects at company in Sidoarjo. This study is relevant to the urgency of the Sustainable Development Goals (SDGs) number 13, Climate Action. Which emphasizes climate change mitigation and environmentally friendly industrial innovation. Traffic light production and distribution were chosen because of their significant contribution to the company's operations, long production cycles, and high energy consumption. Life Cycle Assessment (LCA) was applied to evaluate carbon dioxide emissions and environmental impacts at each process stage. The results showed that the processing and maintenance sub-production had the highest environmental impact, so process optimization was needed. The largest impact in the production cycle was human toxicity water with a value of 4.51. To reduce environmental effects, it is recommended to apply environmentally friendly technologies and optimize raw materials, such as the use of aluminum scrap and water recovery systems. These findings are expected to contribute to emission mitigation strategies and the formulation of sustainable policies for the traffic light manufacturing industry.
Analisis dan Peramalan Volume Produksi Semen Bulk Menggunakan Metode Time Series di PT. VT Erlangga, Veto Andhika; Pulansari, Farida
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2084

Abstract

PT VT is a company engaged in the cement industry, particularly in the distribution of bulk cement through the Jetty Department. To enhance operational efficiency, PT. VT aims to forecast the volume of bulk cement for the upcoming period and determine the most effective forecasting method to utilize. This study will employ three forecasting methods: Moving Average (MA), Weighted Moving Average (WMA), and Single Exponential Smoothing (SES). Historical data on bulk cement volume over the past 11 months were analyzed, and the accuracy of the forecasts was evaluated using Mean Squared Error (MSE). The analysis results indicate that the Moving Average method produced an MSE of 678,038, the Weighted Moving Average yielded 587,301, and the Single Exponential Smoothing resulted in 493,586. Based on these findings, the Single Exponential Smoothing method is identified as the best forecasting method due to its lowest error rate compared to the other methods. By implementing this method, PT. VT can enhance forecasting accuracy, optimize distribution schedules, and minimize operational risks such as overstock or stock shortages. Consistent application of this method is expected to support supply chain sustainability and improve the company's overall operational efficiency. Keywords: Bulk Cement, Forecasting, Mean Squared Error, Operational Efficiency
The Role of House of Sustainability in Green Supply Chain Management to Support Eco-Friendly Crystal Salt Packaging Design Bagaskara, Tegar Winoto; Pulansari, Farida
Journal La Lifesci Vol. 6 No. 3 (2025): Journal La Lifesci
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallalifesci.v6i3.2253

Abstract

This study aims to develop an environmentally friendly crystal salt packaging design using the House of Sustainability (HoS) approach at PT Baruna Energi Solusindo Teknik. The methods used include observation, questionnaire distribution, and literature study to identify consumer needs through Voice of Customer (VoC), as well as mapping sustainability attributes with Quality Function Deployment (QFD). The analysis showed that the use of HDPE plastic in packaging results in high carbon emissions and energy consumption. Based on VoC, the most prioritized attributes for consumers are environmental health, safety, and product price. The most influential technical responses in packaging design are the type of eco-friendly material, product durability, and pollution control. The proposed alternative packaging uses kraft paper material with a size of 33 cm × 33.5 cm and a transparent window to display the product contents. This design is considered to fulfill the overall technical, aesthetic, and sustainability aspects. In conclusion, the implementation of the House of Sustainability is effective in supporting environmentally friendly packaging design and strengthening green supply chain management in the company.
Total Quality Control (TQC) Analysis in Identification of Damage to Coffee Production at PT XYZ Nugraha, Isna; Pulansari, Farida; Ramadhan, Gilang
Tekmapro Vol. 20 No. 2 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT XYZ is a coffee processing company with a production process involving five stages: sorting, drying, peeling, selecting, and packaging coffee beans. This study applies the Total Quality Control (TQC) approach to identify factors causing product defects. Methods include p-control charts to monitor quality variations statistically and fishbone diagrams to analyze root causes. Data were collected through interviews, observations, and company documents. The analysis revealed seven data points exceeding the upper control limit (UCL) and 11 below the lower control limit (LCL). Human errors, inadequate training, and machine-related issues were identified as the primary causes of defects. Environmental factors, such as inconsistent humidity levels, were also found to affect product quality. The findings provide actionable insights for PT XYZ to implement Kaizen-based improvements, focusing on minimizing defects, enhancing production quality, and maintaining product consistency. These measures are expected to support the company in achieving better control over quality processes and ensuring the stability of its coffee product standards.
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