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All Journal OPSI Jurnal INTECH Teknik Industri Universitas Serang Raya Journal of Industrial Engineering and Halal Industries
Grita Supriyanto Dewi
Program Studi Teknik Industri, Universitas Jenderal Achmad Yani Yogyakarta
Religion Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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FORECASTING METHODS DETERMINATION OF RAW MATERIAL REQUIREMENTS FOR SHEEP CABRETTA AND BATTING LEATHER AT PT ADI SATRIA ABADI Khairun Nadiyah; Grita Supriyanto Dewi
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 1 (2022): 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.3531

Abstract

The high level of fluctuating demand for products that consumers want, makes companies need to have a demand estimation or forecasting tool. PT. Satria Abadi is a manufacturing company engaged in the leather tanning process. Leather processed by PT. Adi Satria Abadi consists of two types of leather, namely goat skin (Goat Cabretta and Goat Batting) and sheep skin (Sheep Cabretta and Sheep Batting). In the tanning process, PT. Adi Satria Abadi sometimes encounters several obstacles, one of which is insufficient raw materials. This is because there has not been an estimate of the need for raw materials for the production process to fulfil demand. To deal with these obstacles, it is necessary to estimate the need for raw materials for the type of Sheep Cabretta Leather and Sheep Batting Leather so that there is no shortage of raw materials that can hinder the leather tanning production process. Based on the pattern of demand for raw materials, Sheep Cabretta Leather and Sheep Batting Leather are included in a random or fluctuating demand pattern. Therefore, the method used to predict the need for raw materials is Single Exponential Smoothing with 0.1 to 0.9. From the results of the calculation of forecasting accuracy, it was found that the smallest MSE value lies in the results of forecasting with the Single Exponential Smoothing method with an alpha value of 0.7 of 44560919259, while in sheep Batting Leather, it also lies in the Single Exponential Smoothing forecasting with an alpha of 0.7 with an MSE value amounting to 31462955201. Therefore, the need for raw materials for the type of Sheep Caretta Leather for June based on forecasting calculations using the Single Exponential Smoothing method with an alpha value of 0.7 is 964,878.62 SF, while for the need for raw materials for the type of Sheep Batting Leather is 989,018.39 SF.
Quality Control Analysis Using Flowchart, Check Sheet, P-Chart, Pareto Diagram and Fishbone Diagram Khairun Nadiyah; Grita Supriyanto Dewi
OPSI Vol 15, No 2 (2022): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v15i2.7445

Abstract

SP Aluminum is engaged in the manufacturing industry by producing cooking utensils. In its application, SP Aluminum has tried to produce quality products to satisfy consumers. However, there are still defects that appear in its products. Another problem is the product defects have not been handled seriously by the company. Based on these problems, this study utilizes 5 quality control methods from seven tools: flowchart, check sheets, p-chart, Pareto diagram, and fishbone diagrams. This research is a quantitative qualitative with direct data collection through observation and interviews. The data taken is the product defect in Super Wok Number 12. There are 49 defects data that have been processed. From the results of the check sheet analysis, it was found that the intensity category of the product defects occurrence was obtained. Furthermore, control chart analysis show that there are some data that are out of control. Then, Pareto diagram analysis show the most dominant types of defects are holes, dregs, and pores. Finally, the factors of the absence of written SOPs, less thorough and less competent employees, poor working environment, lack of machine maintenance, poor handling of raw materials and inappropriate material handling processes were common causes of product defects.
Productivity Analysis Using the Multi Factor Productivity Measurement Model (MFPMM) as an Effort to Increase Competitiveness (Case Study: WL Alumunium Yogyakarta) Grita Supriyanto Dewi; Khairun Nadiyah
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.3785

Abstract

It is known that the national economy is dominated by Cooperatives and Small & Medium Enterprises (SMEs), this proves that Cooperatives and SMEs have competitiveness and potential that must be maintained. WL Aluminum is an SME located in the Yogyakarta area which is engaged in the metal casting industry with products that include frying pans, citel, pans and other kitchen utensils. In order for a business to survive and continue to grow, it must be able to compete by preparing various strategies so that the products it produces will always exist in the market. One form of strategy that can be used is by measuring the company's productivity. This is used to determine the extent to which the effectiveness of the product produced and the efficiency of the use of available resources. Several variables that affect productivity include raw materials, energy and labor. The purpose of this research is to find out what the productivity index (PI) is for WL Aluminum using the MFPMM, and to find out whether there is an influence between the profitability received by WL Aluminum and productivity and price changes using the Multiple Linear Regression method. The results of productivity calculations using the MFPMM show that PI was in a row October-November 2015, November-December 2015; December-January 2016; January-February 2016; February-March 2016; March-April 2016; April-May 2016 of 1.0064; 1.2370; 0.8545; 0.9016; 0.9607; 1,1,068; 0.7348. The results of the mathematical equation using Multiple Linear regression are profitability (Y): -0.952+ 1.001 productivity (x1) + 0.951 price recovery (x2). Testing with the F test shows that the calculated F value is 1401891.948 with a significance value of 0.000 <0.05. This proves that profitability is influenced by productivity and price changes.
Analisis Pengaruh Beban Kerja terhadap Tingkat Kelelahan Pekerja Industri Rumah Tangga Keripik Tempe Irvan Maulana; Wahyu Widhiarso; Grita Supriyanto Dewi
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 9 No. 1 (2023): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v9i1.5619

Abstract

Industri Rumah Tangga Wijaya Kusuma merupakan industri kecil yang bergerak di bidang makanan kecil dengan memproduksi keripik tempe. Secara keseluruhan dalam proses produksi keripik tempe masih menggunakan tenaga manusia yang mengandalkan kinerja tangan dengan pergerakan yang ber­ulang-ulang sehingga mengakibatkan terjadinya keluhan pasca kerja. Postur kerja dengan kepala yang menunduk dalam posisi duduk yang membungkuk menimbulkan keluhan atau gejala pasca kerja, seperti sakit dibagian leher, bahu, punggung dan tangan. Penelitian ini bertujuan untuk mengukur beban kerja dan tingkat kelelahan yang diterima pekerja serta mengetahui hubungan diantara keduanya. Metode yang digunakan adalah %CVL untuk mengklas­ifikasikan beban kerja melalui denyut nadi pekerja dan kuesioner SSRT untuk mengukur tingkat kelelahan pekerja melalui penilaian subjektif. Pengukuran beban kerja dan tingkat kelelahan dilakukan pada 10 responden. Berdasarkan perhitungan didapatkan beban kerja dengan kategori tidak terjadi kelelahan adalah 6 orang dan pekerja dengan kategori dianjurkan perbaikan tidak mendesak adalah 4 orang. Tingkat kelelahan yang dialami 10 orang pekerja termasuk kelelahan kerja sedang. Dari uji Pearson Correlations diperoleh nilai correlation coefficient sebesar 0,732 yang menunjukkan ada hubungan kuat beban kerja dengan tingkat kelelahan pekerja Industri Rumah Tangga Keripik Tempe.
Co-Authors Irvan Maulana Khairun Nadiyah Wahyu Widhiarso