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Suryana, Hendy
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Pengembangan Model Daur Ulang Sampah Plastik Dalam Jaringan Sistem Reverse Logistics Suryana, Hendy
Jurnal Media Teknik dan Sistem Industri Vol 3, No 2 (2019)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v3i2.729

Abstract

Abstract-The development of a plastic waste recycling model in the reverse logistics network system is based on the current plastic waste management business activities in Indonesia (in this case the Bekasi and surrounding areas), which is strengthened by some literature on the same business activities in several other countries, such as India. The reverse logistics system in Indonesia is currently one of the best alternatives that can be considered in reducing the limitations of raw material resources. In addition, reverse logistics is proven to provide economic value for business people, then environmental issues become one of the strongest motivations in conducting reverse logistics business. This study aims to develop a model of plastic waste recycling in Indonesia, specifically plastic waste of the compound type LDPE (Low Density Polyethylene) and HDPE (High Density Polyethylene) in the reverse logistics network system and to determine the distribution and transportation network system related to business management activities the plastic garbage. The development of this model can be developed based on empirical data in observing the behavior and characteristics of model variables. The results of the model can produce the total cost of a reverse logistics system in managing plastic waste in Bekasi and its surroundings at Rp. 196,220,250Abstrak-Pengembangan model daur ulang sampah plastik dalam sistem jaringan reverse logistics didasarkan pada aktivitas bisnis pengelolaan sampah plastik di Indonesia (dalam hal ini wilayah Bekasi dan sekitarnya) saat ini, yang diperkuat dengan beberapa literatur mengenai aktivitas bisnis yang sama di beberapa negara lain, seperti India. Sistem reverse logistics di Indonesia, saat ini menjadi salah satu alternatif terbaik yang dapat dipertimbangkan dalam mengurangi keterbatasan sumber daya bahan baku. Selain itu, reverse logistics terbukti dapat memberikan nilai ekonomis bagi para pelaku bisnis, lalu isu lingkungan menjadi salah satu motivasi terkuat dalam melakukan bisnis reverse logistics. Penelitian ini bertujuan untuk mengembangkan model daur ulang sampah plastik di Indonesia, khususnya sampah plastik berjenis senyawa LDPE (Low Density Polyethylene) dan HDPE (High Density Polyethylene) dalam sistem jaringan reverse logistics serta untuk menentukan system jaringan distribusi dan transportasi yang terkait dengan aktivitas bisnis pengelolaan sampah plastik tersebut. Pengembangan model ini dapat dikembangkan berdasarkan data empiris dalam mengamati perilaku dan karakteristik variabel-variabel model. Hasil model dapat dihasilkan total biaya sistem reverse logistics dalam pengelolaan sampah plastik di Bekasi dan sekitarnya sebesar Rp. 196,220,250,-.
Identifikasi Area Kerja Kritis dan Faktor yang Mempengaruhi Terjadinya Kecelakaan Kerja di PT. Gizindo Primanusantara Arifin, Dadang; Suryana, Hendy; Puspawardhani, Gianti
Jurnal Media Teknik dan Sistem Industri Vol 8, No 2 (2024)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v8i2.3541

Abstract

This paper contains a methodology for determining work areas with a high risk of work accidents and identifying the leading causes of work accidents in the area as an evaluation material and company policies to prevent work accidents. The research was conducted at a food company, PT Gizindo Primanusantara. This study is quite important, especially for companies carrying out prevention before a fatal accident occurs, as it is an essential resource for the safety and lives of employees. The observation showed that the company had several work areas with a relatively high risk of work accidents, including Workshop/Technique (utility), Boiler, Chiller, Milling, Fluidized Bed Dryer, and Cartoning. On this basis, the company and researchers desire to determine which work areas have the highest risk of accidents and what factors have the most influence on the occurrence of accidents. From the results of this study, the company will be able to determine the priority of prevention for the Environment or physical facilities and those related to the psychological aspects of employees. To determine the level of accident risk in the work area, researchers used the HAZOPs (Hazard and Operability Study) method, while to find out the main factors causing accidents, they used a survey method by distributing questionnaires by exploring several dimensions that could cause work accidents. The analysis shows six workstations with a high level of accident risk, namely in sequence starting from the Workshop/Technique (utility), Boiler, Chiller, Milling, Fluidized Bed Dryer, and Cartoning. In addition, based on the Factor Analysis, it was identified that there were two leading causes of work accidents, namely employee behaviour and work system  factors 66.781%. In contrast, 32.219% came from external factors not identified in the research model. Tulisan ini berisi metodologi untuk menentukan area kerja yang memiliki risiko terjadinya kecelakaan kerja tinggi dan mengidentifikasi faktor yang menjadi penyebab utama terjadinya kecelakaan kerja pada area tersebut sebagai bahan evaluasi dan kebijakan perusahaan dalam rangka pencegahan terhadap terjadinya kecelakaan kerja. Penelitian dilakukan di salah satu perusahaan makanan, tepatnya di PT Gizindo Primanusantara. Penelitian ini cukup penting terutama bagi perusahaan dalam melakukan pencegahan sebelum terjadi kecelakaan yang lebih fatal terhadap keselamatan dan nyawa karyawan sebagai sumber daya penting bagi perusahaan.   Hasil pengamatan diketahui bahwa perusahaan tersebut memiliki beberapa area kerja yang memiliki risiko kecelakaan kerja cukup tinggi, di antaranya Workshop/Teknik (utility), Boiller, Chiller, Milling, Fulidized Bed Dryer, dan Cartoning. Atas dasar tersebut ada keinginan dari perusahaan dan peneliti untuk menentukan area kerja mana yang paling memiliki risiko kecelakaan tertinggi dan faktor apa saja yang paling berpengaruh terhadap terjadinya kecelakaan. Dari hasil penelitian ini perusahaan akan mampu menentukan prioritas pencegahan baik terhadap lingkungan atau fasilitas fisik maupun yang berkaitan dengan aspek psikologi karyawan. Untuk menentukan tingkat risiko kecelakaan pada area kerja  peneliti menggunakan metode HAZOPs (Hazard and Operability Study) sedangkan untuk mengetahui faktor utama penyebab terjadinya kecelakaan menggunakan metode survey dengan menyebarkan kuesioner dengan mengeksplorasi beberapa dimensi yang berpotensi menjadi penyebab kecelakaan kerja. Dari hasil analisis diketahui terdapat 6 stasiun kerja dengan tingkat risiko kecelakaan yang tinggi yaitu secara berurutan dimulai dari Workshop/Teknik (utility), Boiller, Chiller, Milling, Fulidized Bed Dryer, dan Cartoning. Selain itu berdasarkan Analisis Faktor teridentifikasi bahwa ada dua penyebab utama terjadinya kecelekaan kerja yaitu perilaku karyawan dan faktor sistem kerja sebesar 66,781 %, sedangkan 32,219% berasal dari faktor luar yang tidak teridentifikasi dalam model penelitian. 
EVALUASI RISIKO MUSCULOSKELETAL DISORDER (MSDS) PADA PEKERJA KELAPA SAWIT Pardiyono, Ragil; Nurhadi, Nurhadi; Suryana, Hendy; Patra, Oviyan; Puspawardhani, Gianti
Inaque : Journal of Industrial and Quality Engineering Vol 11 No 2 (2023): Inaque Oktober 2023
Publisher : Teknik Industri Unikom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/iqe.v11i2.10122

Abstract

Penelitian ini dilakukan pada pertanian kelapa sawit merupakan industri yang sedang berkembang beberapa tahun terakhir. Pekerjaan di bidang pertanian merupakan pekerjaan yang menuntut banyak kegiatan fisik pekerja. Evaluasi pada pekerja kelapa sawit menunjukan tingginya risiko MSDs. Banyaknya potensi risiko gangguan musculoskelatal (MSDs) pada pekerja pertanian kelapa sawit maka tujuan dari penelitian yang dilakukan adalah untuk mengevaluasi lebih lanjut risiko MSDs dan melakukan perancangan alat yang dapat digunakan pekerja kelapa sawit untuk mengurangai risiko tersebut. Evaluasi menggunakan Quick Exposure Check (QEC) menunjukan bahwa pekerja panen dengan kegiatan mengumpulkan TBS (tandan buah segar) ke TPHS (tempat penampungan hasil sementara) memiliki skor QEC yang paling tinggi dibandingkan jenis pekerjaan lainnya yaitu sebesar 72%. Sedangkan hasil evaluasi menggunakan kuesioner Nordic keluhan yang paling banyak dirasakan pekerja yaitu pada bagian bahu dan punggung bagian bawah yaitu sebesar 75% dan 73%.
Implementasi Project Quality Management dan Perancangan Proses Bisnis Pada Milestone First Years Inspection dan di Proyek Konstruksi di PT PLN Nusantara Power Batubara, Nasep Nirwan; Nugraha, Evan; Suryana, Hendy; Patra, Oviyan
Jurnal Pendidikan Indonesia Vol. 6 No. 8 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i8.8497

Abstract

This study aims to evaluate the implementation of Project Quality Management (PQM) in the First Year Inspection (FYI) milestone of the Muara Tawar Add-On Combined Cycle Power Plant (PLTGU) Block 2 project, and to design an integrated business process using the lean construction approach. A mixed-methods research design was applied, combining observation, in-depth interviews, and document analysis. The findings reveal that the PQM implementation, based on PMBOK 7 principles—namely Quality Planning, Quality Assurance, and Quality Control—was mostly at a “partial fit” level due to non-standardized documentation and delays in corrective actions. The FYI business process was mapped using Value Stream Mapping (VSM) and Big Picture Mapping (BPM) to classify value-added (VA), non-value-added (NVA), and necessary non-value-added (NNVA) activities. Of the 23 total activities analyzed, 14 were identified as value-added, while 2 were classified as wasteful. The main causes of inefficiency included waiting time, unnecessary inventory, and excessive transportation. These were mitigated through the integration of collaborative spreadsheets and improved stakeholder coordination. The study emphasizes the importance of having a single source of truth in defect monitoring among project stakeholders (owner, contractor, consultant) to enable better communication and decision-making. Results demonstrate that the resolution of FYI pending items was completed earlier than the planned schedule, validating the effectiveness of integrating lean construction tools to enhance PQM outcomes in power plant construction projects.
Feasibility Study on The Implementation of Public-Private Partnership: Energy Conservation Based on Value for Money and Project Risk Patra, Oviyan; Ilyas, Farizha Fadhilla; Suryana, Hendy
Return : Study of Management, Economic and Bussines Vol. 4 No. 9 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i9.401

Abstract

This study evaluates the feasibility of implementing Public-Private Partnership (PPP) schemes in the energy conservation sector, specifically for street lighting infrastructure in West Lombok Regency. The research employs Value for Money (VfM) analysis and comprehensive project risk assessment to determine investment viability. Using quantitative methodology, the study analyzes technical specifications, financial projections, and risk allocation strategies for 12,915 street lighting points across 10 sub-districts. Financial feasibility indicators show positive Net Present Value (NPV) of Rp 12.66 billion, Internal Rate of Return (IRR) of 15.81%, and payback period of 4.76 years. The Weighted Average Cost of Capital (WACC) is calculated at 9.34%. Risk analysis identifies 24 critical risks categorized across planning, construction, and operational phases, with appropriate mitigation strategies. The study concludes that PPP implementation for street lighting in West Lombok Regency is technically and financially feasible, offering energy efficiency improvements of up to 60% compared to conventional systems while ensuring sustainable public service delivery through availability payment mechanisms.
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.
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.
Co-Authors Ade Maulana Adi Ganda Putra Adiwijaya, Chandra Apriyadi, Teddi Arifin, Dadang Batubara, Nasep Nirwan Fauzi, Fahmi Reza Gunawan, Maulana Indra Ilyas, Farizha Fadhilla Lambang, Aris Muhammad Suyudi Nugraha, Evan Nurhadi Pardiyono, Ragil Patra, Oviyan Pitaloka, Bunga Ayu Puspawardhani, Gianti Rinto Yusriski Rukmana, Dodi Teddi Apriyadi Umar Faruk