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Analysis of coffee bean supplier selection using AHP-TOPSIS methods: case study on a ready-to-use coffee powder company Sanjaya, Yahya Cakra; Pulansari, Farida; Rahmawati, Nur
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.100

Abstract

The global market competition that companies must face along with increasingly competitive market developments means that each company has its own challenges in preparing competitive strategies. PT. XYZ is a company that operates in the field of coffee bean processing. The related problems that occur are frequent delays in sending raw materials by suppliers which results in delivery delays, which means they are related to supplier selection problems. Therefore, in this research, the AHP TOPSIS method was used to conduct supplier analysis, AHP is utilized to make decisions and consider multiple factors, subsequently ranking them. Meanwhile, TOPSIS is employed to address multi-criteria problems by comparing the best alternative with the worst alternative among many options. The results of this research are that Supplier 4 is in first place with a preference value of 0.6510, while the second and third places are occupied by Supplier 1 and Supplier 3 respectively.
Enhancing supplier management strategies: integrating purchasing and supplier potential matrices in furniture manufacturing Susanto, Indhira Prameswari; Pulansari, Farida; Rahmawati, Nur
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 2 (2024): OE July 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i2.107

Abstract

Supplier segmentation is one of the most important supply chain activities for most companies that collaborate with many suppliers such as in furniture manufacturing. Purchasing Portfolio Matrix (PPM) is a segmentation method that considers two dimensions (supply risk and profit impact) which are the basis for classifying materials to be purchased by the company. Supplier Potential Matrix (SPM) is a new supplier segmentation approach that includes two dimensions (capabilities and willingness). These two approaches are important because they have different focuses, namely PPM on suppliers while SPM on relationships. Therefore, the main objective of this research is to classify suppliers using a combination of PPM and SPM and determine the appropriate relationship management strategy. Data collection was carried out in the case of one manufacturing company that works with 74 raw material suppliers. Best Worst Method (BWM) is used to determine the criteria weights in both segmentation approaches. So from the 74 suppliers, the results were 7 suppliers in PPM1, 43 suppliers in PPM2, 5 suppliers in PPM3, and 19 suppliers in PPM4 and different strategies were obtained so that this combined PPM-SPM approach was able to improve supplier management.
Analisis Daya Saing Ekspor Indonesia Produk Kopi panggang ke Kawasan ASEAN Berdasarkan Metode Revealed Comparative Advantage Favian Jihan Prastian; Farida Pulansari
Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Vol. 2 No. 3 (2024): September : Manufaktur : Publikasi Sub Rumpun Ilmu Keteknikan Industri
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manufaktur.v2i3.528

Abstract

Export means transporting or bringing goods and services from one country to another coun-try. In order to evaluate how strong export competitiveness is and identify market opportunities, specific calculation methods and approaches regarding comparative advantage are needed. One of them is using the "revealed comparative advanced" (RCA) method, which provides an accu-rate picture of how competitive a product is in the international market. One measuring tool is the Balassa index, where a value of more than one (>1) indicates a strong level of competitive-ness for export products to the destination country. Conversely, a value less than one (<1) indi-cates low competitiveness and sales difficulties in that market. The calculation results show that Timor Leste has an average Balassa index of 60.685, followed by Brunei Darussalam with a Balassa index value of 12.526 and Malaysia of 4.987 and with a stable value, thus indicating good potential for exporters who want to market coffee products. roast them to the country. However, Thailand has little potential with a Balassa index of 1.944. In contrast, Singapore and the Philippines have an average Balassa index below 1, indicating there is no great potential as a profitable export market.
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.
Co-Authors Adinda Laksmi Pratiwi Adistara, Asya Fadhilah Aditya Yuda Pradana Aditya Yudha Pradana Aflah, Rifka Mauliana Ahmad Bayu Laksono Aji Setiawan Aji Setiawan Akbar Ketinggi Nugraha Akbar Ketinggi Nugraha Akmal Suryadi Alfi Hidayati Amelia Ramadhani Ardysti Apridio Faiz An Nabil Ardi Puspa Kartika Ariyanti, Fredika Aura Kusuma Armadani, Aditya Cahya Aryaduta, Galang Arzety, Zahra Bagaskara, Tegar Winoto Bakhtiar Nur Ikhsan Bakhtiar Nur Ikhsan Bilqis, Delita Dany Hadi Dwi Purnama Dany Hadi Dwi Purnama Devanda, Ryan Rafli Dewi Cahyani Puspitasari Dhimas Putra Setyawan Dhimas Putra Setyawan Didik Samanhudi Dinda Syafa Rachmanur Firdaus Dwi Sukma Donorianto Dwi Sukma Donorianto, Dwi Sukma Dwi Sukma Donoriyanto Dwi Sukma Donoriyanto Dwi Sukma Donoriyanto, Dwi Sukma Donoriyanto Dzikri Rivaldi Endang Pudji Widjajati Erlangga, Veto Andhika Euis Nurul Hidayah Fahruddin, Khabib Fatkur Huda Fauz Amiroh Sabriani Lutfi Fauz Amiroh Sabriani Lutfi Fauzan Aufa Mahsa Arifin Favian Jihan Prastian Fergisya, R. A. Luthfi Asia Fitroni, Mochammad Rafqy Al Francisca Ocsylia Gilang Ramadhan Gutawa, Ayyub Ihza Hafif Bakhtiar A Handoyo Handoyo Handy Natan Permana Haqi, Muhamad Mukhtarul Hardiyanti, Ari Vera Harendsa, Naia Putri Hasan, Iqbal Abdurrahman Hayati, Kinanti Resmi Helmi Syaiful Haq Helmi Syaiful Haq Hidayah, Shesfi Nur I Komang Kusuma Putra Imanda Rahmasari Imanda Rahmasari Inrianto, Priyatna Septedi Iriani Iriani Iriani Iriani Isna Nugraha Isna Nugraha J.E. Sutanto Jafni Fara Zahirah JE Sutanto Kartika, Ardi Puspa Kurniasari, Fadillah Kusuma, Yahya Lailiyah, Wardatul Lestari, Aulia Dita Ananda Liddin, Jundana Shidqiyah Masdani Irfan Prakoso Karmawan Masdani Irfan Prakoso Karmawan Maulidyah Rahmah Maulidyah Rahmah Michael A. Irawan Miskiyah, Aliffatul Muhammad Agus Ainur Rosyid Muhammad Firdaus Kamal Mu’tasim Billah Nadhif A Ningtiyas, Ristina Kusuma Nisa Masruroh Nisa Masruroh Nugraha, Isna Nur Rahmawati NUR RAHMAWATI Nur Rahmawati Oktaviya, Ananta Permithasari, Nila Febriana Primadhiya, Fairuzzayyan Priyadarshini, Rossyda Putri, Frydella Krisna Putri, Nadya Permata Qisthosin, Rikza Rahmadsyah, Mohamad Faris Ramadani, Deo Globy Ramadhanti, Viola Indira Rausan Fikri Arman Remba, Angga Rizki Dolla Restu Riski Arifian Rivaldi, Dzikri Rizky Anggraini, Della Afi Rony Oktavianto Sanjaya, Yahya Cakra Satrio Pinandito Tunggal Talangkas Shesfi Nur Hidayah sholeha, fitriatus Sinta Dewi Sinta Dewi SRIE MULJANI Sukirmayadi Sukirmayadi Sulaiman, Yoga Aulia Sumiati Sumiati Sumiati Sunardi Sunardi Susanto, Indhira Prameswari Susilowati Syafitri, Annisa Maudi Thalia Naptalena Thalia Naptalena Triyono Dwi Retno M. Viola Indira Ramadhanti Wahyu, Imas Prisma Widya Amelia Krisnanda Widya Amelia Krisnanda Winursito, Yekti Condro Wulansari, Ni Luh Made Pretty Yanuar Yogha Pradana Yulia Sari, Alma Dwi Yustina Ngatilah Zahira, Nabila Fairuza Zidane, Muhammad Azzam