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Khairun Nadiyah
Polytechnic ATI Padang
Religion Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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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.
Rest Time Analysis Based on Operator's Workload Using a Physiological Measures at PT. Amanah Insanillahia Maria Isfus Senjawati; Khairun Nadiyah; Diego Arya Permana
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
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.4201

Abstract

Amanah Insanillahia is a manufacturing company that produces bottled drinking water (AMDK). The high demand for drinking water production at PT Amanah Insanillahia requires workers to do their work as much as possible in order to achieve the targets desired by the company. In addition to the targets to be achieved, the company must also pay attention to the operator's workload. Workload related to physical fatigue will reduce performance and increase errors at work. This study aims to determine the operator's rest time using a physiological approach. The method used is quantitative with data collection carried out directly. The object of research is the population of employees in the 220 ml packaging station. Heart rate measurement is done by utilizing the 10-beat method. The results show that the value of K < S, the energy expended during work is less than the standard value of energy expended (men = 5 kcal/min, women = 4 kcal/min), then Rt = 0. This means that the rest time provided by the company is adequate, so there is no need for additional resting time at the 220 ml packaging station.
Co-Authors Diego Arya Permana Grita Supriyanto Dewi Maria Isfus Senjawati