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All Journal Jurnal Sains dan Teknologi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Wahyu Hadi Sutiyono
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Pengendalian Kualitas Dengan Menggunakan Metode Seven Tools Untuk Meningkatkan Produktivitas Di PT Jogjatex Wahyu Hadi Sutiyono; Annisa Fitria; Hilman Adiatma; Widya Setiafindari
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.222

Abstract

This study aims to determine quality control at PT. JOGJATEX, find out the factors that cause product defects, find out what are the main problems that cause product damage. and provide solutions to reduce the level of product defects. PT JOGJATEX which is engaged in textile knitting. The method used in this study is the Seven Tool Seven tools method is a graphical method used to solve problems in the field of production, especially problems related to quality (Quality). These seven tools or seven basic tools were discovered and introduced for the first time by Kaoru Ishikawa in 1968 who was a figure of quality management innovation in Japan. The conclusion of this study is regarding the production defect report at the Jogjatex company. This product defect is affected by internal and external influences. These factors are basically influenced by several factors including temperature, human resources and machines. The solution taken to overcome the problem in this research is to design a room temperature detector, namely the DS18B20 Temperature Sensor.
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.
Co-Authors Annisa Fitria Hilman Adiatma Widya Setia Findari