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All Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Welding Technology Jurnal Ilmiah Wahana Pendidikan Jurnal Pengabdian Masyarakat Bangsa Journal Of Artificial Intelligence And Software Engineering
Kuswanto, Teguh Junian
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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.
Tomato Classification Based On Ripeness With Rgb And Hsv Feature Extraction Using Naïve Bayes Algorithm Kuswanto, Teguh Junian; Fahlevi, Muhammad Fauzan; Firdaza, Akhira Maulidio
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.7230

Abstract

Tomato is a vegetable commodity that is also categorized as a fruit and is easy to cultivate in various regions. Differences in the level of tomato ripeness often become a challenge in the accurate classification process. Although many studies have been conducted related to the shape, disease, and varieties of tomatoes, classification based on the level of ripeness is still rarely done. This study aims to develop a classification of tomatoes using the level of tomato ripeness based on the color extracted through the RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) channels, using the Naïve Bayes algorithm. This research was conducted by collecting 150 tomato images that had similar shapes but with varying levels of ripeness, with a total of 135 training data and 15 test data. The research stages include the extraction of tomato color image features in RGB and HSV features, data simplification, separation between training data and testing data with a ratio of 90:10, and the application of the Naïve Bayes algorithm for the classification process. The results of the study showed that the RGB and HSV feature extraction methods combined with the Naïve Bayes algorithm were able to classify tomato ripeness levels with an accuracy of 80%. RGB and HSV color attributes together contributed to the classification accuracy, by producing a significant effect on certain ripeness categories
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.
Pertimbangan Hakim terhadap Akibat Hukum dari Tindakan Persaingan Curang (Passing-Off) dalam Sengketa Desain Industri Wibowo, Eko Putro; Setiawan, Dedi; Kuswanto, Teguh Junian; Hadyan, Tutuko Rakha; Pratama, Din Eri
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 5.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to examine the legal consequences of passing off in industrial design disputes with a case study of Court Decision Number 78/Pdt.Sus HKI/Desain Industri/2022/PN Niaga Jkt.Pst regarding suitcase generator products. Passing off is understood as the act of imitating or copying an industrial design legally owned by another party with the intention of obtaining unlawful profits through consumer confusion. The research method used is normative juridical, analysing relevant legislation, legal doctrine, and court decisions. The results of the study show that passing off has significant legal implications in the civil, administrative, and economic spheres. From a civil perspective, the defendant is required to stop the distribution of counterfeit products and may be liable for damages. From an administrative perspective, court decisions reinforce the exclusive rights of industrial design owners as a form of state protection. Meanwhile, from an economic and reputational perspective, design owners obtain compensation for material and immaterial losses caused by counterfeit products. These decisions also have a preventive effect on other businesses to respect the intellectual property rights of others. This study emphasises the importance of legal protection for industrial designs as an effort to maintain a healthy business climate, encourage creativity, and provide legal certainty for rights holders. However, the effectiveness of legal protection still faces challenges, particularly in relation to rampant violations even though the designs have been registered. Therefore, it is necessary to strengthen law enforcement and increase business actors' legal awareness so that the protection of industrial designs in Indonesia can be optimised.
Co-Authors Abdullah, Hidayat Agustina, Nur Aini Amalia Dinda Dedi Setiawan Dewi, Yulia Puspa Dioktyanto, Mudzakkir Fahlevi, Muhammad Fauzan Febrianti, Santi Firdaza, Akhira Maulidio Hadyan, Tutuko Rakha Hamka, M. Saiful Rahman Muhammad Iqbal FIrdaus, Muhammad Nabila, Aisyah Nur Pratama, Din Eri Putra, Ekananda Sulistyo Rochmad, Alif Nur Rokhim, Imam Nur Wibowo, Eko Putro