Article Per Year (5 Year)
p-Index From 2021 - 2026
2.677
P-Index
This Author published in this journals
All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Pangan dan Agroindustri Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Penyuluhan Perikanan dan Kelautan Jurnal Pengabdian UNDIKMA Altifani Journal: International Journal of Community Engagement Jurnal Perikanan Proceedings of the Vocational Seminar on Marine and Inland Fisheries
Utari, Siluh Putu Sri Dia
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Perikanan

 1 
OPTIMIZATION OF OCCUPATIONAL HEALTH AND SAFETY IMPLEMENTATION IN THE LEMURU FISH PROCESSING PROCESS IN THE MODERN INDUSTRY OF JEMBRANA BALI Nugraha, I Made Aditya; Budiadnyani, I Gusti Ayu; Utari, Siluh Putu Sri Dia; Astiana, Ika; Farida, Iftachul; Cesrany, Mahaldika; Khairunnisa, Anis; Juniarta, I Nyoman; Desnanjaya, I Gusti Made Ngurah
Jurnal Perikanan Unram Vol 15 No 1 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i1.1436

Abstract

The fisheries industry, especially in the processing of lemuru fish, has various work risks that can affect the safety and health of workers. These risks include the use of sharp tools, exposure to chemicals, slippery work environments, and the potential for injury due to intensive production processes. Therefore, the implementation of Occupational Health and Safety (OHS) is a crucial aspect in ensuring a safe, efficient, and productive work environment. However, in practice, there are still various obstacles in the implementation of OHS, such as lack of worker awareness, limited safety facilities, and a less-than-optimal supervision system. This study aims to analyze the implementation of OHS in the processing of lemuru fish at XYZ Company, Jembrana, and to identify obstacles and optimize strategies. The research method used is descriptive qualitative with observation techniques, interviews, and SWOT analysis of OHS policies. The results of the study indicate that the implementation of K3 has been running well through the use of personal protective equipment (PPE), compliance with work procedures, and the implementation of safety standards. To be able to optimize this activity, it can be done through increased training, routine supervision, and the use of IoT-based technology for monitoring the work environment. Computer-based OHS management systems, Virtual Reality (VR) technology for simulation, and automation of high-risk processes with robotics can also be applied to reduce work accidents. Data analysis with machine learning also helps in risk prediction. These implementation strategies can improve work safety, create a safer and more comfortable work environment, and increase the competitiveness of the industry in the global market.
ENHANCING OCCUPATIONAL HEALTH AND SAFETY PRACTICES IN THE MODERN LEMURU FISH PROCESSING INDUSTRY: AN EVALUATION OF THE QUALITY CONTROL UNIT Nugraha, I Made Aditya; Budiadnyani, I Gusti Ayu; Utari, Siluh Putu Sri Dia; Astiana, Ika; Farida, Iftachul; Juniarta, I Nyoman; Desnanjaya, I Gusti Made Ngurah
Jurnal Perikanan Unram Vol 15 No 3 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i3.1509

Abstract

Optimal implementation of Occupational Health and Safety (OHS) is important to create a safe, efficient, and productive work environment. This study examines the implementation of OHS in the modern lemuru fish processing industry. Various integrated strategies are implemented to minimize accident risks, increase productivity, and maintain product quality. Advanced technology approaches such as Internet of Things (IoT)-based monitoring systems, computer-based OHS management systems, and Virtual Reality (VR) technology for training are used. Automation of risky processes with robotics and automatic control technology reduces human involvement in hazardous activities. Data analytics based on machine learning and big data help predict and prevent potential accidents. The results of the study indicate that the integration of appropriate OHS technology and policies improves worker safety, strengthens industry competitiveness, and contributes significantly to long-term success in the modern lemuru fish processing industry.
OPTIMIZATION OF COLD STORAGE MAINTENANCE FOR ENHANCING ENERGY EFFICIENCY IN FISHERY PROCESSING: A CASE STUDY OF XYZ COMPANY Nugraha, I Made Aditya; Sumandiarsa, I Ketut; Budiadnyani, I Gusti Ayu; Samanta, Pinky Natalia; Utari, Siluh Putu Sri Dia; Astiana, Ika; Farida, Iftachul; Poy, Maria Delastrada; Desnnajaya, I Gusti Made Ngurah
Jurnal Perikanan Unram Vol 16 No 1 (2026): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v16i1.2109

Abstract

The fisheries industry requires an effective cold chain system to maintain product quality and food safety, with cold storage functioning as a critical component in maintaining temperature stability prior to distribution. However, operational problems such as temperature fluctuations, equipment failure, and power outages frequently threaten cold storage performance and may lead to product deterioration and economic losses. This study aims to analyze cold storage maintenance management at XYZ Company and evaluate its effectiveness in supporting cold chain optimization. The research employed a qualitative descriptive approach conducted from October to March 2025 at XYZ Company, Sidoarjo. Data were collected through semi-structured interviews with 10 purposively selected respondents, direct observation, and analysis of maintenance records, SOPs, and temperature data logs. The results indicate that the implementation of scheduled preventive maintenance, IoT-based real-time monitoring, and automated control systems effectively maintained temperature stability within standard limits. These measures reduced the risk of protein denaturation, recrystallization, and microbial growth in fishery products. Energy efficiency improved through inverter technology and better insulation, while backup power systems and emergency SOPs minimize operational risks. In conclusion, optimized cold storage maintenance significantly enhances energy efficiency, operational reliability, and product quality, while supporting HACCP and ISO 22000 compliance and strengthening cold chain integrity in the fisheries processing industry.
Co-Authors Agustin , Novita Agustin, Ni Kadek Tiara Dwi Anis Khairunnisa, Anis Bharata, Made Tisna Adhi Br. Sitepu, Gressty Sari Cesrany, Mahaldika Desnnajaya, I Gusti Made Ngurah Febrianti, Desy I Gusti Ayu Budiadnyani I Gusti Made Ngurah Desnanjaya I Made Aditya Nugraha Ika Astiana Ilmiyanti, Devi Juniarta, I Nyoman Kurniawati, Made Devi Kusuma, Ni Kadek Sita Anyaniti Lailatussifa, RR Radipta Listyaningrum, Niken Prawesti Masrin, Putri Yuliana medal lintas perceka Murtiningsih, Ni Made Ayu Meylia Niken Prawesti Panjaitan, Fenny Crista A Panjaitan, Fenny Crista Anastasia Poy, Maria Delastrada Pradnyani, Ni Made Anggun Putri, Ni Made Anggun Pradnyani Resti Nurmala Dewi Riviani Riviani, Riviani Samanta, Pinky Natalia Sumandiarsa, I Ketut Syafii, A Kurniawan