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All Journal Jurnal Manajemen Pelayanan Publik Jurnal Manajemen Indonesia SEIKO : Journal of Management & Business Journal of Humanities and Social Studies International Journal Of Science, Technology & Management (IJSTM) Jurnal Pengabdian Masyarakat Indonesia Jurnal Abdi Masyarakat Indonesia International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) PRIMA : Portal Riset dan Inovasi Pengabdian Masyarakat Journal of Social Research Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) The Eastasouth Management and Business eProceedings of Management West Science Business and Management Jurnal Bisnis dan Manajemen West Science International Journal of Economics, Business and Innovation Research Sasambo: Jurnal Abdimas (Journal of Community Service) International Journal of Accounting and Management Information Systems Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Rina Djunita Pasaribu
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation Veterinary

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Journal : West Science Business and Management

 1 
Analysis of Availability Efficiency, Performance Efficiency, And Quality Efficiency Using the Overall Equipment Effectiveness (OEE) Method: Case Study in the Service Unit of Orya Hydro Power Plant of Jayapura Regency Vico Metriwan Perluozon Hutapea; Mohammad Riza Sutjipto; Edi Witjara; Rina Djunita Pasaribu
West Science Business and Management Vol. 2 No. 03 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i03.1051

Abstract

This study investigates the Orya Jayapura Hydroelectric Power Plant in Indonesia. The plant suffers from high machine downtime, resulting in low production and profits. Analyze the plant's efficiency using the Overall Equipment Effectiveness (OEE) method. OEE considers availability, performance, and quality metrics. A mixed method combining a case study with quantitative data analysis (OEE formula) and a qualitative approach (cause-and-effect diagrams) to prioritize improvement recommendations. The average OEE for 2019-2022 was only 32.76%, indicating significant equipment inefficiency and low profits. High equipment failure losses were identified as the main culprit. The study confirms a correlation between technical efficiency and financial performance: higher availability leads to higher profits. The plant needs to improve its overall quality in terms of people, machinery, materials, and methods. This includes staffing with qualified personnel, providing employee training, enhancing equipment maintenance, and implementing strategies for asset optimization and innovation.
Digital Transformation as a Mediator of the Influence of Organizational Factors and Digital Disruption on Work Unit Performance (Case Study of PT. PP Properti Tbk.) Effendi, Muharram Aliansyah; Pasaribu, Rina Djunita
West Science Business and Management Vol. 3 No. 03 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i03.2058

Abstract

Digital transformation has become an imperative strategy in addressing the increasingly dynamic issues of the property business. This study endeavours to investigate the role of digital transformation as a mediator among the organizational factors (digital culture, technological infrastructure, digital leadership, digital skills) and digital disruption and their impacts on work unit performance, in a case study at PT. PP Properti Tbk. With a quantitative method and SEM-PLS analysis among 104 participants, all independent variables are found to have a significant effect on digital transformation, but only certain ones directly impact work unit performance. Digital culture, technological infrastructure, and digital skills directly and significantly affect performance, whereas digital leadership and digital disruption indirectly affect it through digital transformation. This study recommends the incorporation of digital leadership, disruption management, optimal infrastructure, and digital skills optimization as ways to maximize unit performance through digital transformation.
Analysis of Availability Efficiency, Performance Efficiency, And Quality Efficiency Using the Overall Equipment Effectiveness (OEE) Method: Case Study in the Service Unit of Orya Hydro Power Plant of Jayapura Regency Hutapea, Vico Metriwan Perluozon; Sutjipto, Mohammad Riza; Witjara, Edi; Pasaribu, Rina Djunita
West Science Business and Management Vol. 2 No. 03 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i03.1051

Abstract

This study investigates the Orya Jayapura Hydroelectric Power Plant in Indonesia. The plant suffers from high machine downtime, resulting in low production and profits. Analyze the plant's efficiency using the Overall Equipment Effectiveness (OEE) method. OEE considers availability, performance, and quality metrics. A mixed method combining a case study with quantitative data analysis (OEE formula) and a qualitative approach (cause-and-effect diagrams) to prioritize improvement recommendations. The average OEE for 2019-2022 was only 32.76%, indicating significant equipment inefficiency and low profits. High equipment failure losses were identified as the main culprit. The study confirms a correlation between technical efficiency and financial performance: higher availability leads to higher profits. The plant needs to improve its overall quality in terms of people, machinery, materials, and methods. This includes staffing with qualified personnel, providing employee training, enhancing equipment maintenance, and implementing strategies for asset optimization and innovation.
The Application Of Naïve Bayes Classifier In Digital Strategy For Optiminization Of Credit Guarantee Deccisions In Conditional Automatic Cover (CAC) Scheme Parlindungan, Andre; Pasaribu, Rina Djunita
West Science Business and Management Vol. 3 No. 03 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i03.2059

Abstract

As a non-bank financial institution, a guarantee company provides credit guarantees to individuals, government institutions, and/or business entities that are feasible in terms of business and business but do not yet meet banking requirements and are not creditworthy (feasible but not yet bankable). This guarantee activity involves three parties, namely the Guarantee Recipient, the Guaranteed, and the Guarantor. Credit assessment in this guarantee company is important to help MSMEs in obtaining financing from banks even though they are not yet bankable. This study aims to determine, measure accuracy and determine what factors influence the application of the Naïve Bayes Classifier in a digital strategy to classify which debtor criteria are eligible and unfit for Credit Guarantee. The categorization of the guarantee data variables used are work area, business sector, credit period, credit allocation, guaranteed age, and credit ceiling value. To achieve the objectives of this study, a digital strategy system is needed that utilizes machine learning to be able to classify guarantee data to determine which debtor criteria are eligible and unfit for Credit Guarantee. The Naïve Bayes Classifier method was chosen because of its simple and fast nature in classifying data but is effective in making predictions based on probability..
Co-Authors Adelia Nadya Pertiwi Amelia, Anggi Silfi Apriani Masfiroh Arien Arianti Gunawan Aripsi, Viki ARIS HARTAMAN Aryaputra, Mikala Budiman, Mohamad Fadhian Cahyo Dananto, Dinar Candiawan Candiwan Cyndi Novia Damayanti Octavia Darmawan, Singgih Destianissa, Marsha Dhiannova, Charlie Diati Levi Putri Dodie Tricahyono Domi Bustomi Edi Witjara Effendi, Muharram Aliansyah Eva Nurhazizah Farah Alfanur Farid Akbar Harahap Fariz Fithriah, Khaulah Wardhatul Hidayah, Virgiona Elsandra Hutapea, Vico Metriwan Perluozon I Nyoman Prana Jaya Semedi Ihsan, Qowiyyul Jamil, Dina Nur Maulidiah Kuswardini, Azizah Lestari Utami, Lestari Lisdiani, Felin Mohammad Riza Sutjipto Muhammad Faqih Parlindungan, Andre Pasaribu, Jessy Claudia Permana, Yoga Gunawan Rahmat Dwi Djatmiko Ramadhan Putrantona, Farhan Ratri Wahyuningtyas Ria Wibowo, Yossico Riawan, Teguh Bayu Aji Ridwan Purwanadita Salsabillah, Derisna Setiawan, Kialonica Valentina Setiawati, Sherly Angellika Shabira, Rafa Maisa Sibarani, Andreas Sugiat, Maria Sulthoni, Nurrokhmat Sun Lilya, Sun Lilya Sundari, Laisitha Sutjipto, Moh. Riza Sutjipto, Riza Taufan Umbara Taufiqulloh, Rifqi Triaji Prio Pratomo Uruqul Nadhif Dzakiy Vico Metriwan Perluozon Hutapea Vyra, Aslamia Zoya Erza Wibowo, Yossico Ria Witjara, Edi Zharfan Inzaghi Zharfan Inzaghi Sugiharto