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Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik
Published by Universitas Andi Djemma Palopo
ISSN : 25028952     EISSN : 26232197     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering Transportation
The editorial team will only accept a manuscript that meets the specified formatting requirements. Journal Pena Teknik has an area of expertise consisting of Civil Engineering Information System, Computer and Network Engineering Architecture & Urban-Regional Planning Mechanical & Electrical Engineering Transportation Engineering Geological & Mining Engineering Ocean & Naval Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "VOLUME 11 NUMBER 1 MARCH 2026" : 5 Documents clear
Identification of Occupational Accidents at PTPN IV Air Batu, Kisaran Using Job Safety Analysis and Hazard and Operability Methods Sofyan, Diana Khairani; Amri; Purnawan, Reza Adrian
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/tmxm7846

Abstract

Workplace accidents remain a critical concern in the palm oil processing industry, which is characterized by complex operations and high-risk activities, particularly in key operational areas such as sterilizers, clarification units, boilers, screw presses, and sand trap tanks. This study aims to identify potential hazards and assess the level of occupational accident risk at PT Perkebunan Nusantara IV Unit Air Batu using a combined approach of Job Safety Analysis (JSA) and Hazard and Operability Study (HAZOP). Data were collected through field observations, questionnaires, and accident reports recorded between 2023 and 2024. The findings indicate that the primary causes of workplace accidents stem from technical equipment failures, unsafe working environments, and non-compliance with standard operating procedures. The highest risk levels were identified at the boiler and sterilizer stations, with risk scores reaching 20–25, categorized as extreme hazard zones. Dominant hazards include exposure to high-temperature steam and hot oil, pressure leakage, musculoskeletal injuries from manual handling, and gas exposure in confined spaces. Recommended corrective actions involve strengthening engineering controls through the installation of interlock systems and automated sensors, developing risk-based standard operating procedures, enforcing appropriate personal protective equipment (PPE) usage, and implementing regular safety training and evaluation. The integration of JSA and HAZOP methods proved effective in providing a comprehensive risk mapping framework and can serve as a strategic reference for enhancing occupational health and safety (OHS) management systems in the palm oil industry.
Optimization of Traffic Performance Analysis in Kendari City with Deep Learning Amir, Andi Ahdan; Sukman, Sukman; Lihara, Astri Delviana; Muhammad Nabil , Muhammad Nabil; Duwi Nurmayanti , Duwi Nurmayanti
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/3fxt8a88

Abstract

Urban traffic congestion in developing cities like Kendari requires rapid and accurate monitoring solutions. This research aims to design and implement an integrated traffic performance analysis system utilizing the YOLOv8 deep learning architecture. The system, named KILALIN, automates vehicle detection, classification, and tracking to calculate road capacity and saturation levels based on the PKJI 2023 standards. A comprehensive dataset of 1,606 annotated images was utilized, partitioned into training (57%), validation (29%), and testing (13.7%) subsets. The developed YOLOv8s model achieved high performance with a mean Average Precision (mAP@0.5) of 0.948, precision of 0.941, and recall of 0.935 across all vehicle classes. Functional validation through black-box testing confirmed the system's ability to process real-time video inputs under various conditions. Comparative results with manual surveys showed a 96% counting accuracy, indicating the system's robustness in quantified traffic flow estimation. Furthermore, the integration of automatic Passenger Car Equivalent (EMP) conversion allows for an immediate determination of the Degree of Saturation (DS) and Level of Service (LoS). These findings indicate that the YOLO-based traffic performance analysis system provides a reliable and efficient framework for urban traffic management, effectively replacing conventional manual survey methods while maintaining high technical standards.
Spatial Modeling of MSME Risk Based on Webgis with The Integration of Multidimensional Factor Analysis in Majene Regency Deril, Virda Evi Yanti; Astinawaty; Mahful, Rafid; Mujahid, Laode Muh. Asfan; Khatiran, Hamdan; Nurhalisa
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/pgr6ey93

Abstract

This research investigates and maps potential risks for Micro, Small, and Medium Enterprises (MSMEs) in Majene Regency, analyzing aspects of Human Resources (HR), capital, production, marketing, and law/legality. MSMEs are crucial to the regional economy , but they often face significant risks that hinder growth. This problem is worsened by a lack of spatial understanding of these vulnerabilities , which makes government interventions and development initiatives less effective. This study aims to spatially model and map MSME risks by integrating multidimensional factor analysis with WebGIS. The methodology involves four stages: (1) acquiring primary and secondary data related to the five risk dimensions; (2) using descriptive statistical and cluster analysis to categorize MSMEs; (3) applying risk factor scoring and weighting analysis to determine potential risk levels ; and (4) developing spatial modeling and GIS for risk visualization. The research results in a classification of MSMEs based on risk levels (high, medium, low), which is presented on a WebGIS platform to allow interactive spatial visualization. The findings are intended to provide a basis for more informed decision-making in the development of MSMEs in Majene Regency.
Multi-Disaster Susceptibility Analysis on The Majene-Mamuju National Road Section Using a Geographic Information System Approach Awaluddin, Ahmad Reski; Afifah, Nur Zahrah; Basman, Ummu Kaltsum; Firmansyah; Fadliah, Nurul Awwalul
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/yhjjy774

Abstract

The Trans-Sulawesi National Road section Majene-Mamuju (segment 010–009) is a vital land transportation artery supporting the mobility and economy of over 475,000 people. However, its geographical profile, narrow coastal corridors adjacent to steep hills and active fault lines, exposes it to severe multi-hazard threats. This study establishes a fixed infrastructure inventory of 94.7 km of national road and 79 critical bridge nodes to assess susceptibility to earthquakes, tsunamis, coastal abrasion, and landslides. Spatial analysis derived from sub-district data tables reveals that earthquakes are the most pervasive threat, impacting 90.69 km (95.8%) of the road and 65 bridges (82.3% of the inventory). Tsunami susceptibility represents the second most significant hazard, threatening 56.71 km (59.9%) of the network and 51 bridges (64.6%). Coastal abrasion affects 25.20 km (26.6%) of the road and 47 bridges (59.5%). Landslides, while localized, present a high-intensity risk to 5.66 km (6.0%) of the road and 6 bridges (7.6%). The Sendana, Tammeroddo Sendana, and Tubo Sendana sub-districts emerge as the most critical multi-hazard zones, with composite indices ranging from 2.57 to 2.82. While Ulumanda exhibits a high landslide susceptibility ratio (13.0%), Sendana represents the primary operational threat with 1.83 km of exposed road, nearly double the absolute physical impact found in Ulumanda. These findings provide a standardized scientific basis for prioritizing structural mitigation at critical bridge nodes to prevent total network severance during cascading disaster events.
Factors Affecting The Interaction Between The Population of Lakkang Island And The Activity Center Yanti, Suci Anugrah; Zahirah, Andi Nada; Patandianan, Marly Valenti; Arifin, Mimi
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/p6jkgc33

Abstract

Population movement is inseparable from interactions from the origin area to the destination location. This population movement is also influenced by the presence of push factors. Interaction is not only determined by physical distance, but also by social, economic, and accessibility factors. The condition of Lakkang Island has limitations in geography. The residents of Lakkang Island have high mobility to areas outside the island which has its own challenges. This study aims to analyze the factors that influence population interaction with activity centers. The sampling technique used is non-probability sampling. The method used is purposive sampling of 122 respondents. Data collection techniques are carried out by distributing questionnaires and interviews. The analysis technique is carried out through descriptive analysis and multiple regression analysis using R Studio tools. The results show that economic factors (X2) are the main contributors that strengthen the interaction of settlements with activity centers, especially in the economic dimension with a coefficient value = +0.2637; p = 0.0001. The social factor (X3) has a significant but negative influence on the social (coefficient = -0.1198; p = 0.0378) and physical (coefficient = -0.0777; p = 0.0384) dimensions. This indicates that the stronger the internal social cohesion, the smaller the physical and social dependence on external factors. The accessibility factor (X1) is only significant on the economic dimension and even shows a negative direction (coefficient = -0.0994; p = 0.0219). The economic factor is the most dominant factor influencing population interaction with activity centers. This means that increasing physical connectivity without increasing local capacity can lead to outflows (economic and social), rather than two-way integration. Therefore, the economic factor is important to support regional integration.

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