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All Journal PERFORMA : Media Ilmiah Teknik Industri JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Jurnal DISPROTEK Compiler Jurnal INTECH Teknik Industri Universitas Serang Raya STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Industri Inovatif : Jurnal Teknik Industri International Journal of Applied Business and Information Systems Jurnal ARTI : Aplikasi Rancangan Teknik Industri Journal of Industrial Engineering and Halal Industries Jurnal Universal Technic Jurnal Teknologi dan Manajemen Industri Terapan Borobudur Engineering Review Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Manajemen dan Teknologi Rekayasa Jurnal Penelitian Rumpun Ilmu Teknik Ocean Engineering: Jurnal Ilmu Teknik dan Teknologi Maritim Jurnal Ilmiah Research and Development Student JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Jurnal Rekayasa Proses dan Industri Terapan Jurnal Ilmiah Ekonomi dan Manajemen Jurnal Ilmiah Research Student Jurnal Sains Student Research Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL ILMIAH PENELITIAN MAHASISWA JURNAL MULTIDISIPLIN ILMU AKADEMIK Jurnal Ilmiah Nusantara Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer International Journal of Mechanical, Industrial and Control Systems Engineering Widya Teknik Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Jurnal Kendali Teknik dan Sains Jurnal Riset dan Inovasi Manajemen
Widya Setia Findari
Universitas Teknologi Yogyakarta
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the Analysis Of Overall Equipment Effectiveness On The Heading Machine To Minimize Six Big Losses Using The Total Productive Maintenance Method: A Case Study Of PT XYZ Reza Ade Irmansyah; Widya Setiafindari
Journal of Industrial Engineering and Halal Industries Vol. 7 No. 1 (2026): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5991

Abstract

Abstract Machine efficiency and productivity are key factors in the manufacturing industry to ensure product quality and smooth production processes. PT XYZ, as a company engaged in manufacturing, faces challenges in optimizing the performance of its Heading machine used during the production process. One of the identified problems is the high downtime, which averages 5,509.7 minutes per month during the research period. This study applies the Overall Equipment Effectiveness (OEE) and Six Big Losses methods to analyze machine effectiveness and designs improvement recommendations through the Total Productive Maintenance (TPM) approach. Data collected over a six-month period, from January to June 2024, shows that the Heading machine has an availability rate of 86.63%, a performance rate of 87.93%, and a quality rate of 99.55%, resulting in a total OEE value of 75.5%. The Six Big Losses analysis indicates that the main factor affecting machine effectiveness is reduced speed losses. Therefore, this study recommends the implementation of TPM to improve the effectiveness of the Heading machine performance at PT XYZ.
Analisis Penerapan Forecasting Penjualan Untuk Menentukan Jumlah Tenaga Kerja Efektif Produksi Tepung Mocaf Pada UMKM XYZ Wahyu Hadi Sutiyono; Widya Setiafindari
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 4 (2024): Juli : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i4.423

Abstract

Sales forecasting is a technique that companies use to predict future sales volumes based on previous sales data. This research aims to help UMKM XYZ determine the optimal production amount to maximize profits, by using forecasting methods in planning mocaf flour production. The methods used include the Time Series model with Moving Average, Exponential Smoothing, and Trend Analysis, which are calculated using POM QM Windows software. The analysis results show that the Trend Analysis method is the most accurate for forecasting, with the smallest error value, namely MAD of 76.997, MSE of 8161.672, and MAPE of 6.02%. The smaller the error value, the more accurate the forecasting results. Therefore, the Trend Analysis method is recommended for forecasting mocaf flour sales in XYZ UMKM in 2024, with the production of 15,100 kg to avoid excess stock and dead stock in meeting consumer demand.
Pengendalian Kualitas Menggunakan Metode Seven Tools Dan Kaizen Produk Polypropylene Pada PT KMPI I Komang Dartawan; Widya Setiafindari
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 2 (2023): Juni : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i2.1861

Abstract

PT KMPI is an industrial company that produces textiles and plastics, including plastic products made of polypropylene (PP). The problem that occurs in PT Kusuma Mulia Plasindo Infitex is the quality of the products that still have defects, based on the results of the analysis in February 2023 with a total production of 76,596 kg there are rejects data of 4,695 kg and the percentage of product defects that occur is 6.1%. The objective of this study is to determine the predominant types of defects that influence the factors that cause defects. This study uses the seven tools method to find the root cause of the problem to be solved, as well as the Kaizen Five-M checklist and the Kaizen Five Step Plan to suggest improvements to the company. Based on the results of data processing, there are three types of defects, namely wrinkle defects with a percentage of 43% for a total defect of 2039 kg, medium wrinkle defects with a percentage of 45% for a total defect of 2094 kg, and thick-thin defects with a percentage of 12% for a total defect of 562 kg. From the fishbone diagram, it can be seen that the occurrence of defects is caused by several factors, namely people, materials, methods and machines. Suggested improvements using the Kaizen Five-M checklist analysis are training and monitoring of production, implementation of SOPs (Standard Operating Procedures) established by the company, such as dosing the mixture of plastic seeds with addictive substances at a ratio of 25 Kg. 1 oz. and Kaizen management control: 1 Ons and Kaizen five-step plan management controls, namely Seiri, Seiton, Seiso, Seiketsu, Shitsuke. This includes pre-job briefings and periodic assessments, and the establishment of standard operating procedures for the supervision of single-table melting machines with a melting temperature of 160-166oC.
Analisis Resiko Keselamatan Kesehatan Kerja sebagai Upaya Pencegahan Kecelakaan dengan Menggunakan Metode Hazard Identification, Risk Assessment and Risk Control Agung Joko Prasetyo; Widya Setiafindari
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4787

Abstract

PT MaduBaru PG/PS, a sugarcane agro-industry owned by the Sultanate of Ngayogyakarta Hadiningrat, faces a significant challenge in reducing workplace accidents. From January to September 2024, the company recorded 15 incidents, highlighting the need for a thorough analysis of potential hazards in its sugarcane processing operations. This study employs the HIRARC method (Hazard Identification, Risk Assessment, and Risk Control) to evaluate and address these risks. The hazards identified are categorized into low, medium, and high risks. Low-risk activities include kettle station work and rear factory cleaning tasks. Medium risks are found in kettle station cleaning, repair work, milling station operations, milling station cleaning, west DKS double work, and ash disposal site tasks. High-risk activities are primarily associated with Besali station operations. The main contributors to accidents are a lack of PPE usage, inadequate supervision, and non-compliance with SOPs, such as wearing non-standard footwear. The most dangerous incidents involve exposure to hot materials, which can be mitigated through the proper use of PPE. Enforcing SOP compliance and improving safety awareness are critical to reducing accidents. Strengthening safety measures and ensuring regular monitoring can help create a safer working environment at PT MaduBaru PG/PS.
Upaya Pengendalian Mutu Produk Menggunakan Metode Statistical Process Control Dan 5W+1H Di PT. Mitra Rekatama Mandiri Mella Wulandari; Widya Setiafindari
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 3 (2023): Agustus : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i3.2341

Abstract

PT Mitra Rekatama Mandiri is an industrial foundry that makes metal products. The problem that occurs in the company is related to the quality of products that are still experiencing defects with the percentage of defects reaching 5.6% during February-March 2023. The research conducted aims to identify the dominating errors in the fabrication process, determine the factors that cause product defects. The methods applied are Statistical Process Control and 5W + 1H to be able to analyze problems related to product quality control. Based on the results of the study, there were 3 types of defects, namely 52% lossal defects, 30% porous, and 17% lossal defects. The results of the fishbone diagram are known factors that cause defects, namely human factors, methods, materials, machines.
Minimasi Biaya Produksi Roda Karet R 300 Dengan Metode Forecasting dan Agregat Planning Pada Cv Baja Makmur 2 Dimas Ihza Mahendra; Widya Setiafindari
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.2497

Abstract

CV Baja Makmur 2 is a company engaged in metal casting, one of the products produced by the company is a rubber wheel product where rubber wheel products have several types including R 100, R150, R 300, R 500, R750, and R 1000. In wheel production R 300 rubber found a problem where the average level of production was around 979 pcs higher compared to the average demand of only 940 pcs, this could cause an increase in production costs incurred by the company. The purpose of this research is to minimize the production cost of R 300 rubber wheels for the next 12 months, using the Forecasting method to predict the number of requests and Aggregate Planning to minimize production costs. The results of this study indicate that the Forecasting method using ARIMA obtained the best model (0,1,1) with an MSE value of 40969.4. In the Aggregate Planning method using the Level Method the minimum production cost for the next 12 periods is around Rp 258.802.500.
Analisis Pengendalian Kualitas Produk Menggunakan Metode Six Sigma Dan Failure Mode And Effect Analysis Di XYZ Ega Prastya Rahayu widodo; Widya Setiafindari
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 4 (2026): Oktober : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i4.2112

Abstract

Kualitas produk merupakan faktor penting yang memengaruhi daya saing perusahaan manufaktur. PT XYZ Di Jawa Tengah masih menghadapi permasalahan kecacatan pada produk Floorbase yang berpotensi menyebabkan pemborosan material, rework, dan peningkatan biaya kualitas. Penelitian ini bertujuan mengidentifikasi faktor penyebab kecacatan produk, mengukur kapabilitas proses produksi menggunakan metode Six Sigma, serta menyusun usulan perbaikan berdasarkan metode Failure Mode and Effect Analysis (FMEA). Metode penelitian yang digunakan adalah Six Sigma dengan tahapan DMAIC (Define, Measure, Analyze, Improve, dan Control) yang diintegrasikan dengan FMEA untuk menentukan prioritas perbaikan berdasarkan tingkat risiko kegagalan. Hasil penelitian menunjukkan bahwa lima jenis cacat dominan pada produk Floorbase adalah Short Core Lap, Long Core Lap, Press Mark, Face Overlap, dan Minus Total. Perhitungan Six Sigma menghasilkan nilai Defects Per Million Opportunities (DPMO) sebesar 9.822 dengan tingkat sigma sebesar 3,68, yang menunjukkan bahwa kapabilitas proses masih perlu ditingkatkan. Analisis Fishbone mengidentifikasi penyebab kecacatan yang berasal dari faktor manusia, mesin, metode, material, lingkungan, dan pengukuran. Berdasarkan hasil FMEA, usulan perbaikan difokuskan pada peningkatan preventive maintenance, penyempurnaan SOP, peningkatan kompetensi operator, dan penguatan sistem inspeksi kualitas. Implementasi usulan tersebut diharapkan mampu menurunkan tingkat kecacatan serta meningkatkan kualitas produk Floorbase secara berkelanjutan.
Optimasi Rute Distribusi UMKM Berkah Telur Untuk Efisiensi Biaya Dan Jarak Menggunakan Metode Saving Matrix Dan Nearest Neighbor Diky Dwi Suprayitno; Widya Setiafindari
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 4 (2026): Oktober : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i4.2169

Abstract

Efisiensi distribusi menjadi faktor penting dalam menjaga kelancaran operasional UMKM Berkah Telur. Namun, proses penentuan rute pengiriman yang masih mengandalkan pengalaman pengemudi berpotensi menyebabkan jarak perjalanan dan biaya distribusi menjadi kurang optimal. Berdasarkan data operasional, aktivitas distribusi menempuh jarak 716,4 km per bulan dengan biaya sebesar Rp2.216.400. Penelitian ini bertujuan untuk mengevaluasi dan mengoptimalkan rute distribusi menggunakan pendekatan Vehicle Routing Problem (VRP) melalui penerapan metode Saving Matrix dan Nearest Neighbor. Data penelitian meliputi lokasi pelanggan, volume permintaan, kapasitas kendaraan, biaya distribusi, serta jarak antar lokasi pengiriman. Hasil pengolahan menunjukkan bahwa metode Saving Matrix menghasilkan jarak distribusi 644,4 km per bulan dengan biaya Rp2.144.400, sehingga memberikan efisiensi jarak sebesar 10,05% dan efisiensi biaya sebesar 3,24%. Sementara itu, metode Nearest Neighbor menghasilkan total jarak tempuh 613,2 km per bulan dengan biaya distribusi Rp2.113.200. Hasil tersebut menunjukkan peningkatan efisiensi jarak sebesar 14,40% dan efisiensi biaya sebesar 4,66% dibandingkan kondisi awal. Berdasarkan perbandingan kedua metode, Nearest Neighbor memberikan hasil yang lebih unggul karena mampu menekan jarak perjalanan dan biaya distribusi secara lebih signifikan. Dengan demikian, metode tersebut direkomendasikan sebagai alternatif perencanaan rute distribusi yang lebih efektif bagi UMKM Berkah Telur Kata kunci: Distribusi; Optimasi Rute; Vehicle Routing Problem; Saving Matrix; Nearest Neighbor
Co-Authors A Dandi Setiawan Achmad Tazaki Al Mamtuh Afwan Anggara Afwan Anggara Agung Joko Prasetyo Agustinus Andrie Prasetyo Ahmad Luqmanul Farras Ahmad Suhaimi Ahmad Zada Hilmi Syifa Aldi Yoga Pradana Alex Alfandianto Alex Alfandianto Alfiansyah Alfiansyah Anfitra Akhsel Arya Putra Ramadhan Angga Revoma Putra Anggi Riska Devi Anggi Riska Devi Anisa Rahma Hakiki Annisa Fitria Annisa Fitria Dandy Silva Dandy Silva Daniallabib Danu Fatrohim Deni Kurniawan Dewintari Meilin Sihombing Diaz Arjun Annolu Dicky Tri Sandyayuda Dicky Tri Sandyayuda Dika Aprian Fratama Diky Dwi Suprayitno Dimas Ari Nuryanto Dimas Ihza Mahendra Dwi Kurniawan Ega Prastya Rahayu widodo Egga Jerri Indri Saputri Exsan Priadi Faesal Hermawan Fani Nugroho Farah Yulvaniya Hanif Bima Al Farisi Hasbi Bachroni Hilman Adiatma Hilman Adiatma I Komang Dartawan Ibnu Afqah Arrauf Melian Iwan Eri Nuryanto Kuncoro Adhi Gautama Lulu Rahiba M. Septial Dafha Pratama Mardi Setyono Maria Eva Susanti Lelu Mella Wulandari Michael Arya Jostin Mohammad Faisal Nurfaizi, Mohammad Faisal Nurfaizi Muhammad Afif Rizqullah Muhammad Maulana Muhammad Nastain Nalan Adha Ilan Ilahi Nandar ismail Natasya Dyah Maharani Noviana Salsabila Nuzul Eky Fachrezy Nuzul Eky Fachrezy Okta Tri Wulandari Purwo Budi Utomo Putra, Angga Revoma R. Akhmad Zakaria Nur Alim Radhinal Sa’id Riginianto Rahmad Fauzi Rajif Sihab Rebecca Angelina Silaen Recha Anggardha Resa Aulia Febriansyah Resa Aulia Febriansyah Reyhan Ardy Kurniyanto Reza Ade Irmansyah Riky Ardiyanto Rizki Afif Pratama Rizky Saepulloh Rizqi Nurrahman Tri Sutrisno Rofi Kurniawan Roni Andika Salsabilla Kusumawardani Satria Adi Pamungkas Syahrul Hidayatullah Thegar Gilang Rachmawan Thegar Gilang Rachmawan Virgianto Utama Wahyu Hadi Sutiyono Wahyu Hadi Sutiyono Winda Nur Oktaviana Yasin Ageng Prasetya Yohanes Anton Nugroho Yohanes Anton Nugroho Yusuf Pratomo