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All Journal Jurnal Manajemen Indonesia Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik INAQUE: Journal of Industrial & Quality Engineering Interdisciplinary Social Studies Jurnal Teknologi dan Manajemen Jurnal Impresi Indonesia Journal of Social Research Journal Of World Science Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Return : Study of Management, Economic and Bussines Jurnal Sosial dan Sains Journal Research of Social Science, Economics, and Management Jurnal Pendidikan Indonesia (Japendi)
Patra, Oviyan
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Religion Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Physics Public Health Social Sciences Other

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Analysis of Product Quality and Brand Image in Driving Repurchase Intention for Luta Dehumidifier Products at PT. Dwi Mitra Teknindo Maulana, Ade; Patra, Oviyan; Nugraha, Evan; Suryana, Hendy; Putra, Adi Ganda
Journal of Social Research Vol. 4 No. 9 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i9.2778

Abstract

This study aims to analyze the influence of product quality and brand image on repurchase intention of LUTA dehumidifier products distributed by PT. Dwi Mitra Teknindo. The research background is based on the increasing demand for dehumidifiers in Indonesia after the Covid-19 pandemic, along with the challenges faced by the LUTA brand in building a positive image amid consumer perceptions of Chinese-made products. This study employed a quantitative approach with a descriptive-causal research design. Data were collected through surveys of LUTA consumers in several major cities in Indonesia and analyzed using Structural Equation Modeling (SEM) to examine both direct and indirect relationships among the variables. The findings indicate that product quality has a positive and significant effect on repurchase intention, both directly and through brand image as a mediating variable. Brand image also plays a crucial role in strengthening consumer loyalty towards LUTA products. These results highlight the importance of improving product quality and enhancing brand image as strategic efforts to retain existing customers and support sustainable business growth.
Determinant Factors to Improve Quality Education in The Faculty of Manufacturing Technology General Achmad Yani University Patra, Oviyan; Tuti Leni Suaningsih; Zaenal Muttaqien; Hendy Suryana
Jurnal Manajemen Indonesia Vol. 25 No. 1 (2025): Jurnal Manajemen Indonesia
Publisher : Fakultas Ekonomi dan Bisnis, Telkom University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/jmi.v25i1.8889

Abstract

To make UNJANI into an outstanding university requires individuals who can think and act quickly, withstand difficulties, and succeed in competition. To become an excellent university, it must meet the criteria for achieving the Main Performance Indicators set by the Directorate of Higher Education. UNJANI has consistently strived to improve its compensation structure, as it is believed to enhance company performance. The Faculty of Manufacturing Technology implements policies for teaching staff through a compensation structure to improve the quality of education, including educational and teaching performance, research performance, and community service performance. This study aims to explore the influence of compensation structure on employee performance and the improvement of educational quality at the Faculty of Manufacturing Technology, Universitas Jenderal Achmad Yani (UNJANI). This research uses a quantitative method with a survey approach. Data were collected through questionnaires distributed to faculty staff, supplemented with supporting data and interviews to gain a deeper understanding. The data analysis utilized descriptive and inferential statistical techniques to examine the relationships between the variables in the study. The results show that the compensation structure has a significant effect on employee performance, which in turn positively impacts the quality of education. These findings provide practical implications for university management in designing and implementing effective compensation policies to enhance employee performance and educational quality. As a recommendation from this study, management should conduct regular reviews of the compensation structure and develop training programs to improve employee performance.
Designing an RFID System to Improve Stock Accuracy and Supply Chain Efficiency of PT Bap in the Context of Industry Digitalization 4.0 Pitaloka, Bunga Ayu; Patra, Oviyan; Yusriski, Rinto; Suryana, Hendy
Jurnal Impresi Indonesia Vol. 4 No. 9 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i9.7010

Abstract

This research focuses on designing a Radio Frequency Identification (RFID) system to enhance stock management accuracy and supply chain efficiency at PT Bap , a manufacturing company in the automotive sector. At present, PT Bap  still relies on manual inventory methods that are time-consuming, labor-intensive, and prone to recording errors, leading to inefficiencies in warehouse operations. Considering the large volume of part items, these inefficiencies create significant challenges for productivity and operational effectiveness. To address this, the research adopts a case study approach combined with benchmarking of PT TMMIN, a company that has successfully implemented RFID technology for inventory management. Data collection includes interviews, observations, and documentation of the inventory system at PT Bap , along with comparative studies on RFID adoption at PT TMMIN. The design integrates RFID devices with the existing Warehouse Management System (WMS), automating the inventory process. To strengthen the research foundation, the author also participated in Lean Manufacturing 4.0 training held by the Ministry of Industry of the Republic of Indonesia, which deepened knowledge of digitalization and automation principles in Industry 4.0. The expected outcomes include improved stock accuracy above 90%, inventory time reduction of up to 50%, and lower dependence on manual labor. Ultimately, RFID implementation contributes to operational efficiency and supports digital transformation in the automotive industry
Analysis of Delay Factors in EPC Power Plant Projects (Case Study: PLTMG Project in Sumbawa) Gunawan, Maulana Indra; Suryana, Hendy; Patra, Oviyan; Nugraha, Evan
Journal Research of Social Science, Economics, and Management Vol. 5 No. 2 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i2.1013

Abstract

Construction projects often face the risk of delays, which can affect cost, quality, and schedule performance. This research aims to analyze the factors causing delays in the Engineering, Procurement, and Construction (EPC) Gas Engine Power Plant (PLTMG) project in Sumbawa and to formulate improvement recommendations. The research employs the Partial Least Squares – Structural Equation Modeling (PLS-SEM) method with 67 respondents consisting of the project owner, contractor, and supervision consultant. The research variables include design, financial, resources, contractor, material, external, and owner as independent variables and time overrun as the dependent variable. The results show that the external factor has a positive and significant influence on project delays (? = 0.534; p = 0.000), which includes regulatory changes, extreme weather, permit delays, and socio-cultural influences. The owner factor shows a nearly significant effect (p = 0.092), while design, financial, contractor, material, and resource factors have no significant impact. The research model demonstrates good predictive capability (R² = 0.696; Q² = 0.516). Improvement recommendations focus on mitigating external factors, including establishing a legal team to monitor regulations, developing a flexible work schedule adapted to weather conditions, expediting permits through a dedicated liaison officer, and enhancing communication with the local community. These findings are expected to serve as a reference for stakeholders in managing delay risks in similar construction projects.
Efforts to Increase Efficiency at the Rspad Gatot Soebroto Nuclear Medicine Installation Using the Icor Method Patra, Oviyan; Lambang, Aris; Suryana, Hendy
Interdisciplinary Social Studies Vol. 4 No. 4 (2025): Regular Issue: July-September 2025
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v4i4.900

Abstract

Gatot Soebroto Hospital, as a leading hospital in Indonesia, faces challenges in optimizing the use of resources, particularly in the Nuclear Medicine Installation, where the increase in the number of patients is not matched by proportionate revenue growth. This research aims to enhance operational efficiency at the RSPAD Gatot Soebroto Nuclear Medicine Installation by utilizing the Incremental Capital Output Ratio (ICOR) method. The research method employs a quantitative approach with time series data analysis of financial statements from 2020 to 2024, complemented by semi-structured interviews. Despite advancements in medical technology, the hospital struggles with resource optimization, particularly the mismatch between patient volume growth and income generation. Through a comprehensive analysis, the study identifies inefficiencies in capital utilization and proposes lean management principles to minimize waste in hospital processes. The findings reveal fluctuations in investment efficiency, with recommendations for prioritizing impactful investments, optimizing digital systems, and improving collaboration with third parties. This research contributes to both theoretical understanding and practical applications for enhancing hospital performance.
Penerapan Metoda Algoritma Genetika Dalam Distribusi Lokasi Automatic Weather Station (AWS) Di Wilayah Kabupaten Lamongan Jawa Timur Untuk Kebutuhan Perencanaan Dan Pengelolaan Lahan Pertanian Adiwijaya, Chandra; Patra, Oviyan; Suryana, Hendy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

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

Abstract

This study aims to optimize AWS distribution to significantly improve weather monitoring coverage by minimizing the number of coverage holes. The approach used is the Genetic Algorithm (GA), an evolutionary computation method capable of solving optimization problems by searching for the best solution among a population of candidate solutions. This research tested 9 parameter combinations consisting of population size, number of generations, and mutation ratio to determine the effect of each parameter on the quality of AWS distribution. To support visualization and result validation, a Human Machine Interface (HMI)-based software was developed to interactively and informatively display the AWS sensor distribution process. This HMI is equipped with a regional map and supports spatial simulation, enabling easy validation of actual coordinates and visual evaluation of sensor distribution. The test results indicate that an increase in the number of generations correlates with a decrease in coverage holes. The best parameter combination was obtained with a population size of 10, 100 generations, and an 80% mutation ratio, resulting in the lowest coverage hole count of only 10 pixels. The final distribution in the best test case (Test 9) produced 42 sensor coordinate points optimally distributed. These sensor positions not only cover a wide and efficient area but have also been converted into geographic coordinates that can be directly used for AWS installation planning in the field. It can be concluded that the Genetic Algorithm is effective for optimizing AWS distribution, particularly in agricultural regions such as Lamongan Regency. The findings of this study, supported by an interactive HMI system, are expected to serve as a technical reference for policymakers in planning agriculture-based technology infrastructure to support efficient weather monitoring and national food security.
Implementation Of The Scor Digital Standard Method In The Cijurey Dam Package 1 Project Apriyadi, Teddi; Patra, Oviyan; Suryana, Hendy; Nugraha, Evan
Journal Research of Social Science, Economics, and Management Vol. 5 No. 3 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i3.1084

Abstract

Abstract Dam construction projects face various challenges in supply chain management that can affect the success of the project. This study aims to analyze the implementation of the SCOR Digital Standard (DS) method in improving supply chain performance in the Cijurey Dam Package 1 Project. The research method uses qualitative and quantitative approaches by implementing SCOR Racetrack including the Engage, Define, Analyze, Plan, and Launch stages. The results showed that the baseline performance of RL.2.6 Delivery Performance to Commit Date only reached 73.33% of the target of 90%, Inventory Turnover (ITO) <1.1 times/year of the target ?2 times/year, and Days of Inventory (DOI) reached ±250 days exceeding the maximum target of 180 days. The root of the problem is identified through the 5 Why Analysis and Fishbone Diagram, namely the absence of consignment inventory and regular reconciliation meetings with vendors. The recommended improvement strategies include four improvement projects: Procurement Terms & Conditions Review, Freight Carrier Delivery Performance Evaluation, Regular Reconciliation Meetings, and Consignment Inventory. The implementation of this strategy is projected to increase RL.2.6 to ?90%, reduce the DOI to ?180 days, increase ITO to ?2 times/year, with financial benefits reaching Rp1.29 billion per year.
Co-Authors Ade Maulana Adi Ganda Putra Adiwijaya, Chandra Al Rasyid, Taufik Apriyadi, Teddi Arifin, Dadang Batubara, Nasep Nirwan Dede Wahyudin, Dede Diah Puspita, Hermita Doan, Tulus Gunawan, Maulana Indra Hendy Suryana Ilyas, Farizha Fadhilla Lambang, Aris Muttaqien, Zaenal Norina, Rida Nugraha, Evan Nurhadi Pardiyono, Ragil Pitaloka, Bunga Ayu Puspawardhani, Gianti Ramdani, Alfi Taufiq Rinto Yusriski Rudianto, Kusnendar Trianto Suryana, Hendy Tuti Leni Suaningsih