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All Journal Jurnal Surya Teknika Innovative: Journal Of Social Science Research Spektrum Industri
Puspanantasari Putri, Erni
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Other

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Perbaikan Fasilitas Kerja Area Finishing dengan Pendekatan Lean dan Metode MOST guna Meningkatkan Produktivitas PT. XYZ Prasetyo, Andiko; Puspanantasari Putri, Erni
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16534

Abstract

XYZ is a company that produces paper products including the spiral division. The spiral finishing area has wasteful work areas including transportation waste, and movements that result in a lack of focus on work. The methods used are VSM, Nordic Body Map and MOST calculations. The results of processing data on the spiral division of the finishing section with an average book revision work per person produce one book revision unit taking a standard time of 60.23 seconds/pcs and in 7 working hours producing 1720 books for 4 operators, while after improving the work system with the proposed shelf design and placement as minimal as possible in the finishing area, the results were obtained for three revision operators 22.46 seconds/pcs revision, per person and one person for wire button work and quality check 15.41 seconds and in 7 working hours produces 2562 book revisions for 4 operators.
Analisa Perencanaan Persediaan Guna Mengatasi Kelebihan Stok Beras pada UD Berkah Niaga Pangan Adonis Kurniawan; Puspanantasari Putri, Erni
JURNAL SURYA TEKNIKA Vol. 11 No. 2 (2024): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v11i2.8153

Abstract

Inventory planning is an important process in the company's operational process. The main objective of inventory planning is to ensure that the company has optimal and efficient raw material inventory, thereby minimizing inventory costs and storage costs for the company. UD Berkah Niaga Pangan is a company focused on being a rice distributor to meet local market needs. For data processing, the company uses the Economic Order Quantity (EOQ) method to effectively plan raw material requirements. Calculations are performed using forecasting methods such as Moving Average, Single Exponential Smoothing, and Naïve, resulting in an annual Total Inventory Cost of Rp. 64,555,000.
Efficiency Evaluation in Indonesia's Quarrying Industry Using Variable Combinations DEA Puspanantasari Putri, Erni; Parinov, Ivan A.; Wongloucha, Chuleeporn
Spektrum Industri Vol. 22 No. 2 (2024): Spektrum Industri - October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i2.227

Abstract

Data Envelopment Analysis (DEA) is a method considered to evaluate a company's performance. DEA applies multiplies the input and output variables for analyzing the efficiency but does not provide guidance in selecting those variables. As a rule, researchers use several methods. If the number of variables used is too many, it will affect the efficiency value. This will reduce the strength of the efficiency value, which can cause all DMU values to be efficient.   DEA and variable selection are important in performance evaluation because DEA aids in determining relative efficiency, whereas variable selection guarantees that the evaluation is based on the most relevant and significant aspects. The purpose of this study is to suggest the variable combination method for subtracting the number of variables that will be utilized in implementing the DEA. The method used in this study is the Average Input Variable Combinations (VCs)-Variable Returns-to-Scale (VRS) DEA.  The data were classified, defined, and processed with a view to computing efficiency scores and DMU classifications. The research result indicated that the proposed method (VCs-DEA) treats the variable reduction factor and the average calculation factor to obtain the final result of the efficiency score.  These two factors contribute to the accuracy of the efficiency value. Some real-world implications of these findings, such as making better use of resources, streamlining operations, and coming up with new plans, Furthermore, the evidence may be used to benchmark performance as well as help decision-makers in creating more effective policy. This study finds that only 1 out of 12 DMUs is efficient (8%), while the remaining 11 are inefficient (92%). Indonesia quarrying establishment can be classified into 3 categories such as Optimal Category (S-Sand); Middle Category (LS-Lime-Stone; F-Feldspars; Gr-Granite; SA-Stone and Andesite; K-Kaolin; Q-Quartz; and G-Gravel); and Less Category (So-Soil; C-Clay; M-Marble; and O-Others).
Co-Authors Adonis Kurniawan Parinov, Ivan A. Prasetyo, Andiko Wongloucha, Chuleeporn