Claim Missing Document
Check
Articles

Performance Evaluation Using the DEA-Stepwise Modeling Approach Method: Case Study of the Export-Import Sector in Indonesia Erni Puspanantasari Putri
Jurnal Serambi Engineering Vol. 9 No. 1 (2024): Januari 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The export and import industry are now a significant determinant of a nation's economic progress in the age of globalization. A nation's ability to export helps it earn foreign cash that it can utilize to fund development and spur economic expansion. Conversely, import-related activities might assist in satisfying the need for products or services that cannot be effectively provided domestically. Entrepreneurs can increase the competitiveness of local products and the quality of their products through imports and exports, which will enhance both industrial progress and community welfare. To maximize the nation's economic progress, the government and business owners must continue to boost import-export activity. The objective of this study is to evaluate Indonesia's export-import sector's performance using the stepwise modeling approach and the DEA method. One technique to determine which export-import sector activities are effective and ineffective is performance evaluation. These two sectors can support the country's economy in this way and do so with a long-term approach. The research results indicate that efficient DMUs have the smallest presentation (20%) and inefficient DMUs have the largest percentage (80%). The efficient DMU category is C (1). Inefficient DMU categories, namely: SK (0.285), S (0.193), M-US (0.472), and T-J (0.11).
Perancangan Rak Tempe Ergonomis untuk Meningkatkan Efisiensi Pekerja di CV. Mulya Tempe Farah Zahila; Erni Puspanantasari Putri
Jurnal Serambi Engineering Vol. 9 No. 2 (2024): April 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

CV. Mulya Tempe operates in the food sector, namely leaf tempeh, plastic tempeh, mendoan tempeh and round tempeh. The traditional process of making tempeh leaves takes approximately 80 hours or 3 days until the tempeh product is perfectly cooked. In the molding stage, the soybeans are compacted on a rack by hitting them using wooden tools by two workers. This compaction process was repeated 10 times repeatedly. In addition, at the fermentation stage, additional load is provided by stacking red bricks on top of the compacted soybeans. In the molding or compaction stage, the worker's position is standing and bending. Five Mulya Tempe workers experienced complaints about the neck, elbows, arms, back, waist and calves because the shelves owned by Mulya Tempe did not match the anthropometric measurementsof the workers' bodies. The results of calculating work attitudes using the REBA method get scores of 10 and 11, where the scores fall into the high and very high categories, which requires improvement in work attitudes. Where the tempeh fermentation rack was redesigned by carrying out calculations using anthropometric data, percentiles, data adequacy tests and data uniformity tests.
Perencanaan Persediaan Bahan Baku Produk Kursi Anyaman pada PT. Multi Kadera Sejati Elsa Budi Ardhania; Erni Puspanantasari Putri
Jurnal Serambi Engineering Vol. 9 No. 3 (2024): Juli 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT Multi Kadera Sejati is a company in the furniture industry that has always prioritised quality in the production of woven chairs. One of the problems that PT. Multi Kadera Sejati is a shortage of raw materials for woven chairs, apart from that, there is no optimal raw material inventory control system and they still use the conversion method, which results in the company experiencing production delays and hampers the delivery process to consumers, which can reduce consumers' confidence in ordering woven chairs from PT. Multi Kadera Sejati. The forecasting methods used in this research are Moving Average and Exponential Smoothing. In Material Requirement Planning (MRP), LFL and FPR lot-sizing techniques are considered to be able to solve this problem. The LFL method was chosen because it has the smallest results and the most optimal results. From the results of MRP calculations with LFL and FRP lot sizing, it was found that lowest cost for LFL was IDR 1,350,000
Rancang Bangun Mesin Pemisah Kerupuk Mawar Guna Meningkatkan Output Pada Proses Pemisahan Kerupuk Muhammad Naufal Ramadani; Erni Puspanantasari Putri
Jurnal Serambi Engineering Vol. 9 No. 3 (2024): Juli 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mr Rizal's MSME is located in Jerukgamping Village, Krian Sub-District, Sidoarjo Regency, East Java, processing the production of rose crackers from raw goods to finished products takes a maximum of 1 day and a maximum of 2 days. This is because there is a drying process that still relies on the sun's heat. The separation process Crackers that are done manually result in the resulting output not being optimal because the process takes quite a long time so it cannot be finished on the same day and must be continued the next morning. With the problems that occur in Mr. Rizal's cracker MSMEs, the researcher provides a solution to speed up the process of separating crackers that are still stuck to each other and only requires 1 worker. The solution used for the problems that exist in Mr. Rızal's rose cracker MSMEs is to carry out anthropometric and percentile calculations. which is used to determine the dimensions of the rose cracker separating machine. The cracker separating machine is designed using dimensions from anthropometry and the 50th percentile of workers so that it can be seen that the height of the machine frame is 103.5 cm, the diameter of the cracker separating tube is 67.25 cm, the height of the cracker exit path is 92.9 cm after it is done. In the experiment there was a comparison of the output of crackers that had been separated. The output before design was 113.5 kg, requiring 200 minutes with an output per minute of 0.6 kg. Meanwhile, the output after design was 150 kg, requiring 60 minutes with an output per minute of 2.5 kg.
Analisis Pengendalian Persediaan Bahan Baku Biji Plastik Dengan Metode Probabilistik Di UD. ACC Plastik Sememi, Benowo, Surabaya Ahmad Syifa’ul Qulub; Erni Puspanantasari Putri
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 3 (2023): September : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i3.2113

Abstract

UD ACC Plastics is a business in the field of plastic products that are produced, namely Hangers made from PP (polypropylene) plastic. Planning and controlling raw materials is very important for plastic companies with manual cupola especially UD. ACC Plastic. Fluctuating demand from customers resulted in excess and shortage of raw materials at UD. ACC Plastic. For that we need a definite and optimal calculation. In this case, an analysis of the planning and control of raw materials is carried out using the probabilistic method of the P Back Order model. To find out the order time interval, safety stock, lot order size, and inventory costs. Inventory and Control is done by probabilistic calculation of the P Back Order model with the Hadley Within solution by doing iterations and selecting the best solution with the minimum total inventory cost. Calculation results obtained total minimum inventory costs and optimal inventory system. In the raw material inventory of plastic pellets, the total cost of Rp. 204,325,752 with order intervals every 23 days or 0.062 years, order lot sizes of 415 kg, safety stock of 134.59 kg and a maximum order of 550 kg. The service level provided was 99.96%.
Performance evaluation of Indonesia's large and medium-sized industries using Data Envelopment Analysis method Putri, Erni Puspanantasari; Aduldaecha, Sukon; Putra, Bonifacius Raditya Sri Pramana; Puteri, Agatha Hannabel Avnanta
OPSI Vol 17, No 1 (2024): 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.v17i1.11785

Abstract

Performance evaluation is essential for an industry's ability to operate successfully. Efficiency management is becoming crucial and important to enhancing the sustainability of the industry. The industry needs to measure its performance for the following reasons: (i) develop the economy and its operation efficiency in a sustainable way; (ii) supply data for decision-making units (DMUs); and (iii) optimize output using the fewest resources. Performance measurement indicators relate to the performance of the industry itself, such as: added value/cost of production factors, indirect taxes, number of workers, input costs, number of companies, added value/market prices, and production index. The purpose of this research is to measure the performance of large and medium-sized industries (LMIs) in Indonesia. LMIs have a strategic role as the main engine and driver of the economy. Measuring LMI performance is very necessary so that LMI can grow and develop sustainably. Data envelopment analysis (DEA) is a method for measuring performance. DEA is a non-parametric linear programming technique and used to determine comparisons between DMUs with different inputs and outputs. The research results indicate that there are three DMU classification categories, namely: Category 1 (ES = 1), Category 2 (ES = 0.9986-0.9998), and Category 3 (ES = 0.9971-0.9974). The percentages for each category are 50%, 37.5%, and 12.5%.
PENENTUAN BAHAN BAKU MENGGUNAKAN METODE FUZZY GOAL PROGRAMMING PADA UKM FURNITURE Purnama, Jaka; Putri, Erni Puspanantasari; Sajiyo, Sajiyo; Aulia, Dian Rahma; Pratama, Novi Ariyan
JISO : Journal of Industrial and Systems Optimization Vol. 7 No. 1 (2024): Juni 2024
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v7i1.1-7

Abstract

Jombang Regency is one of the furniture producers which supplies many cities in Indonesia. Production activities are carried out at the furniture SMEs center in Catak Gayam village, Mojowarno, Jombang. Furniture SMEs strive to serve consumer needs according to demand. SMEs prepare teak wood raw materials by ordering wood from suppliers. It is difficult for furniture SMEs to determine the number of teak wood orders that match consumer product demand. The Fuzzy Goal Programming method is able to provide solutions for determining of raw materials according to consumer needs. The results of this research formed a model that was used to determine the amount of teak wood raw material according to demand of 25.03 m3 per order. Furniture SMEs set a profit target of 0.25. This condition shows the most optimal conditions in production activities at SMEs Furniture. Kabupaten Jombang merupakan salah satu penghasil furniture yang banyak menyuplai di kota-kota berada di Indonesia. Kegiatan produksi dilakukan di sentral UKM furniture di desa Catak Gayam, Mojowarno, Jombang. UKM furniture berupaya dalam melayani kebutuhan konsumen sesuai dengan permintaan. UKM menyiapkan bahan baku kayu jati dengan cara memesan kayu ke supplier. Sulitnya UKM furniture dalam menentukan pesanan kayu jati yang sesuai dengan permintaan produk yang dibutuhkan konsumen. Metode Fuzzy Goal Programming mampu memberikan solusi penentuan jumlah bahan baku sesuai dengan kebutuhan konsumen. Hasil penelitian ini terbentuk suatu model yang digunakan untuk menentukan jumlah bahan baku kayu jati sesuai dengan permintaan sebesar 25,03 m3 setiap kali order. UKM furniture memberikan target keuntungan sebesar 0,25. Kondisi ini menunjukan kondisi yang paling optimal dalam kegiatan produksi pada UKM Furniture.
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
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.
Performance evaluation using data envelopment analysis - stepwise modeling approach: A case study of construction industries in Indonesia Putri, Erni Puspanantasari; Parinov, Ivan A.; Plando, Almaceley S.
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8936

Abstract

The construction industries are inextricably linked to employment, investment, the quantity of infrastructure building projects, and other economic sectors in Indonesia. They serve as catalysts for the expansion of goods and service production. Apart from having a strategic role in the national economic, construction companies also experience various obstacles to developing their businesses. These obstacles include weakening the IDR exchange rate against the US dollar, regulatory and legal frameworks, labor and skills shortages, economic and financial instability, and environmental and sustainability concerns. In order for the construction industry to survive, develop, and remain competitive in the face of international competition, it is crucial to evaluate its performance constantly. This research aims to evaluate the construction industry's performance in Indonesia. There are 151,183 construction companies included in this study. Hence, these companies will continue to survive, grow, and compete in the face of global competition. The methods applied in this research are an input-oriented DEA envelopment model and a stepwise modeling approach. The research results indicated that 3% of the Indonesian construction industry is made up of efficient DMUs, and the remaining 97% are inefficient DMUs. DMUs are classified according to the distribution of efficiency scores. It is considered that for the classification of inefficient DMU, there exist four ranges, Rs: R1 (ES = 0.16-0.99), R2 (ES = 0.050-0.15), R3 (ES = 0.015-0.049), and R4 (ES = 0.000-0.014). The criteria for each classification, in terms of the level of effectiveness, are as follows: i) R0 Range (ES = 1]): Effective; ii) R1 Range (ES = 0.16-0.99): Relatively Low Ineffectiveness; iii) R2 Range (ES = 0.050-0.15): Moderate Ineffectiveness; iv) R3 Range (ES = 0.015-0.049): Significant Ineffectiveness; and v) R4 Range (ES = 0.000-0.014): Very High Ineffectiveness. The percentage of each classification is as follows: inefficient DMU-R1 0%, inefficient DMU-R2 30%, inefficient DMU-R3 37%, inefficient DMU-R4 30%.