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All Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Welding Technology Jurnal Pengabdian Masyarakat Bangsa
Rokhim, Imam Nur
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Sosialisasi Penggunaan Alat Pelindung Diri bagi Pekerja Galangan Kapal Tradisional di Weru sebagai Upaya Peningkatan Keselamatan dan Kesehatan Kerja Agustina, Nur Aini Amalia Dinda; Kuswanto, Teguh Junian; Firdaus, Muhammad Iqbal; Rokhim, Imam Nur; Putra, Ekananda Sulistyo; Rochmad, Alif Nur
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 9 (2025): November
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i9.3452

Abstract

Pengrajin kapal di galangan Desa Weru, Lamongan memiliki risiko pekerjaan dengan berbagai macam kemungkinan kecelakaan kerja. Salah satu cara yang bisa dilakukan oleh pengrajin untuk meindungi dirinya dari potensi bahaya tersebtu Adalah dengan memakai Alat Pelindung Diri (APD). Tujuan pengabdian Masyarakat ini Adalah memaksimalkan pemahaman pengrajin terkait urgensi penggunaan APD. Lokasi penelitian berada di galangan kapal tradisional Desa Weru, Kecamatan Paciran, Kabupaten Lamongan, Jawa Timur. Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis proses serta dampak dari kegiatan penyuluhan yang berfokus pada peningkatan produktivitas dan strategi pemasaran tepat guna bagi nelayan di Desa Weru, Lamongan. Data dikumpulkan menggunakan metode kualitatif deskriptif melalui kombinasi observasi, wawancara, kuesioner. Hasil post test menunjukkan peningkatan signifikan hingga 90% peserta mampu menjelaskan manfaat APD dan risiko yang dapat timbul bila alat tersebut tidak digunakan. Rekomedasi APD yang perlu mereka gunakan yaitu helm, sarung tangan, masker, kacamata maupun sepatu keselamatan. Setelah tingkat kesadaran pekerja terhadap pentingnya penggunaan APD mulai meningkat, tantangan berikutnya yang dihadapi adalah rasa ketidaknyamanan dalam mengenakan APD selama bekerja. Sehingga, diperlukan proses penyesuaian secara bertahap disertai dengan pendekatan yang berkesinambungan agar para pengrajin dapat beradaptasi dengan kebiasaan baru dalam bekerja menggunakan APD secara lengkap
Current progress on wire-arc and welding-based additive manufacturing with its potential application: a review Dioktyanto, Mudzakkir; Abdullah, Hidayat; Dewi, Yulia Puspa; Rokhim, Imam Nur; Kuswanto, Teguh Junian
Journal of Welding Technology Vol 7, No 2 (2025): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jowt.v7i2.8418

Abstract

Wire-Arc Additive Manufacturing (WAAM) is one of the leading metal additive manufacturing procedures for producing medium to large-scale components due to its high deposition rate, low material cost, and compatibility with common structural alloys. This paper review provides a focused and critical assessment of welding-based Additive Manufacturing (AM) technologies, particularly WAAM processes utilizing Gas Metal Arc Welding (GMAW), Gas Tungsten Arc Welding (GTAW), and Plasma Arc Welding (PAW). The scope covers the fundamental process principles, thermal–metallurgical behaviour, mechanical performance, and deposition control methods. The specific contribution of this review is: (i) explaining key process–structure–property relationships documented in recent studies, (ii) identifying core technological barriers—such as thermal distortion, porosity, residual stresses, and anisotropic microstructures—that limit industrial deployment, and (iii) outlining strategic future research directions that important for improving process stability and weld results. Key findings indicate that heat input management governs bead morphology, cooling rate, phase formation, and residual stress accumulation across multi-layer builds. Advances such as adaptive arc modes, interpass temperature control, closed-loop sensing, and hybrid subtractive–additive workflows have shown significant reductions in geometric deviation and defect formation. Nevertheless, reproducibility, dimensional accuracy, and mechanical property predictability remain persistent challenges. Overall, the review shows that integrating real-time monitoring, predictive simulation, alloy design tailored for WAAM, and intelligent control systems represents the most impactful pathway toward achieving certified and industrial-grade components.
Design and Development of a Fisherman's Trap Location Marking Application Using Android-Based Maps Picker and Tracking Kuswanto, Teguh Junian; Hamka, M. Saiful Rahman; Febrianti, Santi; Rokhim, Imam Nur; Nabila, Aisyah Nur
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.816

Abstract

The fisheries sector in Indonesia is predominantly composed of small-scale traditional fishermen who still rely on manual methods to determine and track the locations of fishing gear, such as fish traps (bubu). This condition often leads to the loss of fishing gear due to environmental factors such as weather conditions, ocean currents, and limited access to modern navigation technologies. Therefore, there is a need for an information technology–based solution that can assist fishermen in digitally marking and tracking the locations of their fishing gear. This study aims to design and develop an Android-based application capable of marking and tracking the deployment locations of fish traps using a Maps Picker and Global Positioning System (GPS) in real time. The system development adopts the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and evaluation phases. The application is developed using React Native as the primary framework, integrated with the Google Maps API and SQLite as a local database to support offline-first functionality. System testing is conducted using a black-box testing approach. The results indicate that all application features function according to the specified requirements and demonstrate a satisfactory level of tracking accuracy. Therefore, the proposed system is considered effective in assisting fishermen in marking and tracking fishing gear locations efficiently, while also supporting the digital transformation of the small-scale fisheries sector in Indonesia.
Naive Bayes Predictive Model for Failure Detection in CODLAG Propulsion Systems Rokhim, Imam Nur; Kuswanto, Teguh Junian; Dioktyanto, Mudzakkir; Abdullah, Hidayat; Dewi, Yulia Puspa
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.831

Abstract

This study implements a Naive Bayes Classifier algorithm to detect failures in gas turbines operating within a CODLAG (Combined Diesel-Electric and Gas) propulsion system. The complexity of hybrid propulsion systems necessitates reliable data-driven monitoring methods to support early anomaly detection and predictive maintenance. An open-access dataset from Kaggle was utilized as the source of gas turbine operational data, with five key parameters (GTn, T48, ṁf, P1, and P2) selected due to their strong correlation with turbine thermodynamic performance. Following data preprocessing and an 80:20 train–test split, the model was trained to classify operating conditions into Normal and Faulty states. The evaluation results demonstrate an accuracy of 86.89%, accompanied by high precision and recall values, indicating the model’s capability to identify anomalies with minimal misclassification. Furthermore, the Receiver Operating Characteristic (ROC) curve yields an Area Under the Curve (AUC) of 0.96, reflecting strong discriminative performance. These findings confirm that the Naive Bayes approach is computationally efficient and suitable for real-time implementation within shipboard Condition-Based Monitoring (CBM) systems, thereby enhancing the reliability and operational efficiency of CODLAG propulsion systems.
Co-Authors Abdullah, Hidayat Agustina, Nur Aini Amalia Dinda Dewi, Yulia Puspa Dioktyanto, Mudzakkir Febrianti, Santi Hamka, M. Saiful Rahman Kuswanto, Teguh Junian Muhammad Iqbal FIrdaus, Muhammad Nabila, Aisyah Nur Putra, Ekananda Sulistyo Rochmad, Alif Nur