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All Journal JURNAL TEKMAPRO EKONOMIS : Journal of Economics and Business Jurnal INTECH Teknik Industri Universitas Serang Raya Juminten : Jurnal Manajemen Industri dan Teknologi Journal of Scientech Research and Development Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri
Dwi Sukma Donoriyanto
Universitas Pembangunan Nasional Veteran Jawa Timur
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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Analisis Pengendalian Kualitas Produk Paku Kawat Baja Menggunakan Metode Statistical Quality Control dan Failure Mode Effect Analysis di PT. XYZ Muhammad Miftahul Hamdi; Dwi Sukma Donoriyanto
Ekonomis: Journal of Economics and Business Vol 7, No 2 (2023): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v7i2.1206

Abstract

PT. XYZ is a company that produces processed steel wire products such as nails, bendrats and also cutting wire. But in its production, PT. XYZ experienced problems with high levels of defects, especially in nail products in the production section, which resulted in a decrease in quality, waste of production costs, resources and also decreased customer satisfaction. This study aims to determine the percentage of causes of product defects using the Statistical Quality Control (SQC) method and also provide suggestions for improvements using the Failure Mode and Effect Analysis (FMEA) method. The stages in this study begin with collecting data, analyzing data with the SQC method to find the percentage and causes of disability, determining the value of RPN using FMEA, and the recommendation stage for proposed improvements. Based on the results of research on SQC, the most dominant defects are UC (30%), then KTC (21.2%), then BB (19.3%), then UX (15.3%) and KC (14.2%). Based on the results of analysis and calculations in FMEA, it is known that the calculation of the highest RPN value is 336 of the UC defect type with the cause of the position of the bolt standing backwards knife. Based on the results of analysis and calculations in FMEA, it is known that the calculation of the highest RPN value is 336 of the UC defect type with the cause of the position of the bolt standing backwards knife. The proposed improvement recommendation for this problem is to adjust or replace the new knife stand bolt so that the machine will again cut the nail tip perfectly.
Klasifikasi Algoritma Support Vector Machine (SVM) Untuk Memprediksi Persebaya Suarabaya Juara BRI Liga 1 Wahyu Kurniawan; Dwi Sukma Donoriyanto
Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Vol. 2 No. 2 (2024): Juni : 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.v2i2.359

Abstract

This research uses the Support Vector Machine (SVM) algorithm to predict Persebaya Surabaya's ranking in BRI Liga 1. The data used includes goals scored, goals given away, total end-of-season points, and status as champions. The results of the analysis using Orange software show that Persebaya Surabaya does not necessarily become a champion if it has a point value of 42 and an SVM value of 41. To become a champion, Persebaya Surabaya must score 69 points or more in a season and achieve an average of more than 54 goals per season. The suggestion of this research is to have more data so that the results of data processing using Orange software are more optimal and accuracy is more precise.
Co-Authors Afiady Fitsal Ubaidillah Ali, Munawar Dessy Indra Puspitasari Erlina Purnamawati Laksono Trisnantoro Laurentius Urip Widodo Mohammad Nailul Falah Muhammad Miftahul Hamdi Nur Rahmawati Rendy Christian Rofiatul Adawiyah Satya Winarung Ekauji Shania Andra Fitriana Siswanto Moenandar Tranggono Tranggono Wahyu Kurniawan Yustina Ngatilah Zharfan Hamzah