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All Journal OPSI JPM17: Jurnal Pengabdian Masyarakat Heuristic JHP17 (Jurnal Hasil Penelitian) Jurnal Sistem dan Manajemen Industri Jurnal Serambi Engineering Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Surya Teknika JISO : Journal of Industrial and Systems Optimization Journal La Multiapp Industrika : Jurnal Ilmiah Teknik Industri Journal of Industrial View Jurnal Abdikarya : Jurnal Karya Pengabdian Dosen dan Mahasiswa JUSTI (Jurnal Sistem dan Teknik Industri) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research Jurnal Ilmiah Dan Karya Mahasiswa Enrichment: Journal of Multidisciplinary Research and Development Integrasi : Jurnal Ilmiah Teknik Industri Asian Journal of Social and Humanities Serambi Engineering Spektrum Industri
Erni Puspanantasari Putri, Erni Puspanantasari
Universitas 17 Agustus 1945 Surabaya
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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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%.
Analisis Produktivitas Untuk Meningkatkan Hasil Produksi dengan Menggunakan Metode Objective Matrix (Omax) (Studi Kasus : CV Bakso Empal Sapi) Gustarico, Akbar; Putri, Erni Puspanantasari
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 3 (2023): July 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i3.15837

Abstract

CV. Bakso Empal Sapi is a company engaged in the manufacturing sector whose main work is in the form of operational production of finished food in the form of meatballs, the absence of productivity measurements in the company systematically makes it unable to meet production targets or maximize production capacity. Therefore, CV. Bakso Empal Sapi seeks to improve its productivity by measuring each productivity criteria. The method used to make measurements is the Objective Matrix (OMAX) method and weighting using the Likert Scale, then after obtaining the results of the calculation, an evaluation is carried out and find out the root of the problem that occurs against the worst productivity criteria using the Fishbone Diagram. Then an improvement plan is carried out which aims to increase productivity again. From the results of productivity measurements using the OMAX method, it can be seen that the best productivity occurred in December at 741.45 and for the worst productivity occurred in January at 143.38. Then from the achievement of the score it is known that the criteria that contribute less to the productivity index are criteria 5 with a score of 13 and 2 with a score of 21 and a strategy to increase productivity is to evaluate the root causes of decreased productivity in criteria 5 and criteria 2.
Penentuan Jumlah Tenaga Kerja Guna Meningkatkan Produktifitas pada Bagian Produksi UD. Redline Hadisaputra, Sasongko Adji; Putri , Erni Puspanantasari
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.21887

Abstract

Redline is a home industry that produces sandals. UD. The current redline must prioritize the efficiency and effectiveness of production operations. A business can be said to be efficient if it is able to produce products based on consumer demand. One of the factors that influences the completion of requests is working time, the personnel involved in completing a production. For example, the aim of this research. This research focuses on the production of men's flip-flops to determine the standard time for each worker and the labor requirements required by UD. Redline for each job. Using the Workload Analysis (WLA) method. After this method was implemented, the research results showed that the process of making 1 unit of product took 12.33 minutes with 8 workers with additional overtime time and a cost of Rp. 120,129,600
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).
COMMUNITY SERVICE ACTIVITIES (CSA): OPTIMIZING DIGITAL MARKETING STRATEGIES FOR THE DEVELOPMENT OF TEMPE HOME INDUSTRIES IN KARBUNGOH VILLAGE, SUKOLILO DISTRICT, MADURA ISLAND: Community Service Activities (Csa): Optimizing Digital Marketing Strategies For The Development Of Tempe Home Industries In Karbungoh Village, Sukolilo District, Madura Island Putri, Erni Puspanantasari
Jurnal Abdikarya: Jurnal Karya Pengabdian Dosen Dan Mahasiswa Vol. 8 No. 02 (2025): Vol. 08 No. 02 Tahun 2025
Publisher : Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/.v8i02.132703

Abstract

This community service activity (CSA) aims to introduce and optimize digital marketing strategies for the development of the tempeh home industry in Karbungoh Village, Sukolilo District, Madura Island. The tempe home industry in this region has significant economic potential due to its reliance on local raw materials and the skills of the local community. However, limitations in promotion and utilization of digital technology have resulted in product marketing remaining conventional and limited market reach. Using a qualitative descriptive approach, this activity utilized observation, interviews, and direct mentoring of tempeh entrepreneurs to understand their actual conditions and marketing needs. The results of the activity indicated that entrepreneurs had a vision to become hygienic, high-quality, and highly competitive tempeh producers but lacked a structured digital strategy. Therefore, the community service team introduced a digital marketing strategy based on social media (Instagram, Facebook, and WhatsApp Business) and marketplaces (Shopee and Tokopedia) to expand market reach. Additionally, training was provided on promotional content creation, local product branding, and the development of a digital marketing evaluation plan. The implementation of this strategy is expected to increase competitiveness, strengthen the identity of local Madurese products, and open opportunities for expansion into modern markets. This activity is a concrete manifestation of the synergy between universities and the community in supporting digital transformation for micro-businesses in rural areas.
Analisis Produktivitas dengan Metode American Productivity Center pada PT Kasa Husada Wira Jatim Sari, Kharisma Putri Nugita; Putri, Erni Puspanantasari
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3818

Abstract

Peningkatan produktivitas merupakan faktor fundamental dalam menjaga keberlanjutan dan daya saing industri manufaktur, khususnya pada sektor alat kesehatan yang diatur oleh regulasi ketat dan standar mutu tinggi. Penelitian ini bertujuan menganalisis tingkat produktivitas PT Kasa Husada Wira Jatim menggunakan metode American Productivity Center (APC). Metode APC dipilih karena mampu mengukur produktivitas secara komprehensif melalui pendekatan indeks produktivitas, indeks profitabilitas, dan indeks perbaikan harga. Selain itu, metode ini memungkinkan penilaian kontribusi masing-masing input tenaga kerja, material, energi, dan modal terhadap perubahan produktivitas perusahaan secara objektif dan terukur. Analisis dilakukan dengan membandingkan input dan output antarperiode menggunakan harga dasar yang konstan agar perubahan kinerja operasional dapat dievaluasi secara lebih akurat. Pendekatan ini memberikan gambaran yang jelas mengenai efektivitas penggunaan sumber daya serta dinamika produktivitas dalam proses produksi. Melalui pengukuran yang sistematis, penelitian ini diharapkan dapat menunjukkan tren produktivitas perusahaan, sekaligus mengidentifikasi area yang menjadi sumber inefisiensi maupun peluang perbaikan yang dapat ditindaklanjuti. Temuan penelitian ini juga berpotensi menjadi dasar dalam merumuskan kebijakan operasional yang lebih tepat sasaran, meningkatkan efektivitas pengendalian biaya, serta memperkuat kemampuan perusahaan dalam memenuhi permintaan pasar secara konsisten. Dengan demikian, penelitian ini memberikan kontribusi praktis bagi pengembangan strategi peningkatan produktivitas jangka panjang. Selain itu, hasilnya dapat dijadikan referensi oleh industri sejenis yang berupaya mencapai efisiensi dan efektivitas operasional secara berkelanjutan di tengah persaingan industri alat kesehatan yang semakin kompetitif.
Co-Authors Abdul Halik Abid, Ahmad Rois Adonis Kurniawan Aduldaecha, Sukon Afrigh Fajar Rosyidiin Ahmad Syifa’ul Qulub Alfan, Alfan Ridho Arizqi, Moh Romadhon Aulia, Dian Rahma Ayun Maduwinarti Dea Ayu Maharani Andris Dea Nabilah Idraki Dwiki Prawita Elsa Budi Ardhania Fahmi, Izudien Farah Zahila Firmansyah, Mochamad Jordan Dwi Gustarico, Akbar Hadisaputra, Sasongko Adji Hanie Teki Tjendani, Hanie Teki Hanie, Teki Tjendani I Nyoman Lokajay, I Nyoman Istantyo Yuwono, Istantyo Jaka Purnama Maharani, Olivia Eka Muhammad Naufal Ramadani Muhammad, Setia Budhi Nasrullah, Muhammad Iqbal Nurwidiah Sulistyo Nugroho Parinov, Ivan A. Plando, Almaceley S. Prasetyo, Andiko Pratama, Novi Ariyan Puji Slamet Puteri, Agatha Hannabel Avnanta Putra, Avan Dwi Syah Putra, Bonifacius Raditya Sri Pramana Ridho Yanuar RR. Ella Evrita Hestiandari Sajiyo Sajiyo, Sajiyo Sari, Kharisma Putri Nugita Sri Andayani Su pardi, Su Vincent Oktavianus Pranata Wafiyatul Hidayah Wongloucha, Chuleeporn Zakaria, Muhammad Iclasul