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Patra, Oviyan
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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. 10 (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: 10.25124/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.
Implementasi Metode Scor Digital Standard di Proyek Bendungan Cijurey Paket 1 Teddi Apriyadi; Patra, Oviyan; Suryana, Hendy; Nugraha, Evan
Jurnal Impresi Indonesia Vol. 4 No. 10 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i10.7022

Abstract

Pembangunan bendungan merupakan proyek infrastruktur strategis yang memiliki manfaat besar bagi pengendalian banjir, penyediaan air baku, irigasi, serta energi listrik. Namun, proyek konstruksi bendungan memiliki tingkat kompleksitas tinggi dan rentan terhadap berbagai risiko rantai pasok, seperti keterlambatan pengiriman material, fluktuasi harga, kualitas material yang tidak sesuai, serta kendala komunikasi dan logistik. Penelitian ini bertujuan untuk menganalisis dan meningkatkan kinerja rantai pasok pada Proyek Bendungan Cijurey Paket 1 melalui implementasi metode Supply Chain Operations Reference (SCOR) Digital Standard. Pendekatan yang digunakan adalah metode campuran (mixed methods) dengan analisis kuantitatif untuk mengukur kinerja rantai pasok pada indikator RL.2.6, RL.3.15, RL.3.16, Inventory Turnover (ITO), dan Days of Inventory (DOI), serta analisis kualitatif untuk mengidentifikasi akar penyebab permasalahan menggunakan metode 5 Why dan Fishbone Diagram. Hasil evaluasi awal menunjukkan bahwa skor komposit kinerja rantai pasok berada pada tingkat 62,4% atau kategori “cukup”, dengan kelemahan utama pada aspek keandalan pengiriman dan biaya rantai pasok. Melalui rancangan strategi perbaikan berbasis SCOR Racetrack, House of Risk (HOR), serta simulasi Monte Carlo, penelitian ini menyajikan rekomendasi mitigasi risiko yang dapat meningkatkan keandalan, efisiensi, dan efektivitas rantai pasok proyek. Kontribusi penelitian ini tidak hanya memperluas penerapan SCOR DS dalam konteks proyek konstruksi, tetapi juga memberikan panduan praktis bagi manajer proyek dan pemangku kepentingan dalam mengelola risiko rantai pasok pada proyek infrastruktur skala besar.
Analisis Perencanaan Lokasi Gudang untuk Meminimasi Biaya Distribusi Suryana, Hendy; Patra, Oviyan
Jurnal Media Teknik dan Sistem Industri Vol 7, No 1 (2023)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v7i1.3051

Abstract

Transportation and distribution is one aspect that is very important in influencing the success of a company in order to be able to survive and compete against other companies. In general, transportation problems are related to determining the distribution of a product from a source to several destinations with a certain demand. CV Aneka Ragam, which is a distributor company in the sale of multifunctional spray paint products to meet automotive needs in Indonesia, which is currently consumer-oriented. The most common locating problem is finding the best location from one or more warehouse points from several possible locations to achieve the lowest CV delivery cost. Aneka Ragam is the sole distributor in Indonesia that distributes Sapporo Ultimate Spray paint products to various resellers. Determining the optimal warehouse location and obtaining the right distribution warehouse area in the marketing area is carried out using the center of gravity method. The new warehouse alternative location obtained using the center of gravity method. For the warehouse location on the island of Sumatera, it is located in the Bangkinang Plaza area Blok R A 09, Jl. Sisingamangaraja, Bangkinang, Kec. Bangkinang, Kampar Regency, Riau 2846. The warehouse location on the island of Kalimantan is located in the Gang Buntu area, Jl. Banyan, Lanjas, Central Teweh, Barito Regency, Central Kalimantan 73812. The warehouse location on Sulawesi Island is located in the Benteng area, East Wara, Palopo City, South Sulawesi. The warehouse location on Nusa Tenggara Island is located in the Sukamulia area, West Lombok, Nusa Tenggara. For warehouse locations on Maluku & Papua islands, they are located in the Fak-fak area, North Wagom, Fakfak, Fakfak City, West Papua 9865. The optimal warehouse point can be produced in each region, because the warehouse point that has been determined refers to the needs of the goods requested by the customer. resellers in the city of the region and easy access to delivery of goods.  Transportasi dan distribusi merupakan salah satu aspek yang sangat penting dalam mempengaruhi keberhasilan suatu perusahaan agar mampu bertahan dan bersaing terhadap perusahaan lainnya. Pada umumnya, masalah transportasi berhubungan dengan penentuan pendistribusian suatu produk dari sumber menuju beberapa tujuan dengan permintaan tertentu. CV Aneka Ragam merupakan perusahaan distributor tunggal dalam penjualan produk cat semprot Sapporo Ultimate dan menyalurkan produk cat Semprot ke berbagai reseller untuk memenuhi keperluan otomotif di Indonesia. Masalah penentuan lokasi yang paling umum adalah menemukan lokasi terbaik dari satu atau lebih titik gudang dari beberapa lokasi untuk mencapai biaya pengiriman terendah. Penentuan lokasi gudang yang optimal dan memperoleh wilayah gudang pendistribusian yang tepat di area pemasaran dilakukan dengan menggunakan metode center of gravity. Lokasi alternatif gudang baru yang diperoleh untuk gudang di Pulau Sumatera (Plaza Bangkinang Blok R A 09, Jl. Sisingamangaraja, Kabupaten Kampar, Riau), lokasi gudang di Pulau Kalimantan (Jl. Beringin, Lanjas, Kabupaten Barito, Kalimantan Tengah), lokasi gudang di Pulau Sulawesi (Benteng, Wara Timur, Kota Palopo, Sulawesi Selatan), lokasi gudang di Pulau Nusa Tenggara (Sukamulia, Lombok Barat, Nusa Tenggara), lokasi gudang di Pulau Maluku & Papua (Fak-fak, Papua Barat). Titik gudang dapat dihasilkan yang optimal di setiap wilayahnya, karena titik gudang yang telah ditentukan mengacu kepada kebutuhan barang yang diminta oleh reseller di kota wilayah tersebut dan kemudahan akses pengiriman barang. 
Perencanaan Pemeliharaan 32.000 Jam di PLTMGU Lombok untuk Optimalisasi Equivalent Availability Factor Rudianto, Kusnendar Trianto; Patra, Oviyan
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8464

Abstract

PT. Wartsila Indonesia, as the manager of the Lombok Gas and Steam Engine Power Plant (PLTMGU) has an obligation to maintain an Equivalent Availability Factor (EAF) above 90%. In 2024, EAF will be recorded at 96.97%, with a total outage of 3,726 hours due to Planned Outage (PO) and Force Outage (FO). For 2025, EAF is predicted to be 90.02% with a PO of 7,958 Hours. The planned duration of the PO for 32,000 hours of maintenance is 18 days or 432 hours. The total number of machines that will carry out maintenance of these 32,000 hours is nine Wartsila machines W20V34DF. This study aims to plan a 32,000-hour maintenance activity schedule using the Work Breakdown Structure (WBS) method, and the Critical Path Method (CPM). The study successfully shortened the planned maintenance duration from 18 days (432 hours) to 15 days (345 hours), saving 87 hours per machine. This reduction in maintenance duration can increase EAF and anticipate FO by providing a UOH allocation of 274 hours. With this allocation, the EAF Prediction in 2025 increased to 90.66% beyond the initial prediction. These results confirm the importance of careful planning and management of maintenance schedules to maintain operational sustainability and improve power plant performance.
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 Fachry Abda El Rahman Gunawan, Maulana Indra Hendy Suryana Ilyas, Farizha Fadhilla Lambang, Aris Norina, Rida Nugraha, Evan Nurhadi Pardiyono, Ragil Pitaloka, Bunga Ayu Puspawardhani, Gianti Ramdani, Alfi Taufiq Rinto Yusriski Rohmat, Agus Rudianto, Kusnendar Trianto Rukmana, Dodi Suryana , Hendy Suryana, Hendy Teddi Apriyadi Tuti Leni Suaningsih