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All Journal Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Jurnal Teknologi Sistem Informasi dan Aplikasi Meteor STIP Marunda Maritime Park: Journal Of Maritime Technology and Socienty Journal of Soft Computing Exploration
rizal, Yus
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Transportation

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PENERAPAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DALAM ANALISIS RISIKO KEGAGALAN RADIO LOKOMOTIF DI DIVISI REGIONAL III PALEMBANG Rizal, Yus; Sunaryo, Sunaryo; Oktaria, Dhina Setyo; Prameswari, Galuh Anggun; Arifianto, Teguh
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20723

Abstract

Locomotive radios serve as a crucial telecommunications system in railway operations. However, in Divisi Regional III Palembang, frequent malfunctions occur without systematic damage documentation, resulting in the absence of an optimal maintenance strategy. This study applies the Failure Mode and Effect Analysis (FMEA) method to identify failure characteristics, analyze their impact on each component, and determine the appropriate maintenance strategy. The analysis results indicate that from 2019 to 2022 a total of 20 communication failures occurred with the highest failure frequency observed in the Locomotive Transceiver Unit (LTU), which failed 14 times. The Mean Time Between Failure (MTBF) calculations reveal that the LTU has an average failure interval of 1,253 hours, while the Console has 1,297 hours, and the antenna reaches 8,064 hours. Risk analysis using FMEA shows that the console has the lowest risk level with a value of 18, the antenna has a moderate risk level with a value of 27, and the LTU has the highest risk level with a value of 36. Based on the identified maintenance strategy, the proposed solution includes implementing preventive maintenance and corrective maintenance to mitigate potential failures. A reliability test conducted over 1,000 hours yielded a reliability probability of 18.3%.
Determination of the Shortest Route with the Djikstra Algortima in the Operation of Aplousing and Maintenance of Shipping Navigation Aids (SBNP) Wanadi, M Adil Wanadi; Kusuma, Wisnu Wardana; Efendi, Ade Irfan; Rizal, Yus; Prakosa, Dandun
Maritime Park: Journal of Maritime Technology and Society Volume 5, Issue 1, 2026
Publisher : Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/mp.vi.46426

Abstract

This study aims to implement the djikstra algorithm to overcome the problem of optimizing the shortest route determination in aplousing and maintenance activities of Shipping Navigation Assistance Facilities (SBNP) in the working area of the Tanjung Perak Type A Navigation District Office. The Navigation Pier has historically been a strategic facility to face the challenges of maintaining fuel efficiency, sailing times and reducing emissions in environmental pollution due to suboptimal routes. The djikstra algorithm is known to be effective in finding the shortest route on a weighted graph by representing strategic location points such as ports and marine navigation areas as nodes and the distance between nodes is calculated using the haversine formula based on geographic coordinates as weights. Before the implementation of travel route optimization, a total mileage of 1,210.30 km was obtained and after the optimization was applied using the djikstra algorithm, a total mileage of 1,110.44 km was obtained. This comparison shows a significant distance savings of 99.86 km or 8.25% travel efficiency. This optimization is able to contribute to time reduction, fuel savings and reduction of environmental pollution exhaust gas emissions so that it is able to optimize the operational effectiveness of ships as a whole. This study confirms the positive and relevant capabilities to be applied in shipping navigation route planning and support decision-making in the management of sea routes or logistics transportation in areas with a varied distribution of mileage points that require high efficiency and mobility. In the next research, it is hoped that it will be able to add external factors such as sea currents, waves, and wind according to the geographical characteristics of the territorial waters so that the results of route planning can be more accurate in the real operational area in the shipping work area.
Implementasi Algoritma Traveling Salesman Problem (TSP) dalam Penentuan Jalur Terpendek pada Rute Berlayar untuk Kegiatan Aplousing dan Perawatan SBNP di Wilayah Kerja Kantor Distrik Navigasi Tipe A Tanjung Perak Adil Wanadi, M.; Irfan Efendi, Ade Irfan Efendi; Prakosa, Dandun; Rizal, Yus
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 9 No. 1 (2026): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v9i1.59095

Abstract

The aplousing and maintenance activities of Shipping Navigation Assistance Facilities (SBNP) in the work area of the Tanjung Perak Type A Navigation District provide high efficiency in fuel use and travel time while minimizing the impact of environmental pollution. However, the shipping route so far has not been optimal, resulting in longer mileage, requiring excess fuel consumption and increased exhaust emissions. This study aims to optimize shipping routes through the application of the Traveling Salesman Problem (TSP) algorithm. The two approaches used are Heuristic Nearest Neighbor and Brute Force with case studies on 11 port points and islands in the waters of East Java. The simulation results showed that the Brute Force approach produced the most optimal route with a total distance of ±1,095.94 km more efficient than the Nearest Neighbor ±1,110.33 km and the initial route without optimization of ±1,284.3 km. This reduction in mileage has a positive impact on fuel savings, shipping time and reducing exhaust emissions. This study proves that the application of the TSP algorithm is able to increase operational efficiency and has the potential to be the basis for the development of technology-based decision-making support systems in environmentally friendly shipping route management.
The Role of MARPOL Annex V Implementation in Reducing Marine Litter in Indonesia: Challenges and Opportunities Wanadi , M Adil; Schouten, Femmy Sofie; Handoko , Wisnu; Seno , William; Rizal, Yus; Indra, Guntur Tri
Meteor STIP Marunda Vol 18 No 1 (2025): June
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) STIP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36101/msm.v18i1.414

Abstract

The implementation of MARPOL Annex V, which governs ship-generated waste to prevent marine pollution, remains inconsistent in Indonesia despite its ratification into national law. This study investigates compliance gaps, operational challenges, and systemic barriers that hinder effective enforcement aboard Indonesian-flagged vessels. The research identifies three primary issues: low crew awareness due to inadequate training, limited port waste reception facilities, and weak supervision and law enforcement by maritime authorities. Findings reveal a disconnect between policy and practice, with only 30% of surveyed vessels meeting waste segregation and disposal requirements. To address these shortcomings, this study proposes a multi-stakeholder strategy combining stricter law enforcement, standardized crew certification programs, and investments in port waste infrastructure. These recommendations aim to enhance Indonesia’s alignment with global marine protection standards under MARPOL Annex V, while offering insights for other developing maritime nations.
Predicting willingness to pay for urban rail transit using machine learning : Evidence from jakarta MRT Kusuma, Wisnu Wardana; EFENDI, ADE IRFAN EFENDI; Prakosa, Dandun; Montanasyah, M. Popik Montanasyah; wanadi, adil; Rizal, Yus
Journal of Soft Computing Exploration Vol. 7 No. 1 (2026): March 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i1.18

Abstract

The development of urban transportation requires an efficient, reliable and sustainable system, so fare determination is an important factor in the success of the Jakarta MRT service. In this context, understanding the user's Willingness to Pay (WTP) is crucial because it is not only influenced by economic ability, but also perception and preference for services. This study aims to analyze and predict the WTP of MRT users by integrating transportation economics approaches and machine learning methods. The research data is in the form of primary data from a survey of 296 MRT users which includes socio-economic characteristics, transportation costs, frequency of use and Ability to Pay (ATP). The methodology used includes descriptive analysis and regression modeling using various algorithms, namely Linear Regression, Decision Tree, Random Forest, Gradient Boosting, Support Vector Regression (SVR) and XGBoost. Model evaluation was carried out using MAE, RMSE and determination coefficient (R²). The results showed that the value of WTP was relatively homogeneous compared to variations in income and transportation costs, which indicated that willingness to pay was not entirely determined by economic ability. The performance of the model shows that no algorithm is consistently superior, with R² values that tend to be low. The feature importance analysis identified income, transportation costs and ATP as the main factors. This research contributes through the application of a multi-model machine learning framework and policy implications that MRT fare determination needs to consider economic aspects and user preferences in a balanced manner.
Co-Authors Adil Wanadi, M. Efendi, Ade Irfan Efendi, Ade Irfan Efendi Femmy Schouten Handoko , Wisnu Indra, Guntur Tri Irfan Efendi, Ade Irfan Efendi M. Adil Wanadi Montanasyah, M. Popik Montanasyah Oktaria, Dhina Setyo Prakosa, Dandun Prameswari, Galuh Anggun Seno , William Sunaryo Sunaryo Teguh Arifianto Wanadi , M Adil Wanadi, M Adil Wanadi Wisnu Wardana Kusuma