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AGUS DWI SANTOSO
Politeknik Pelayaran Surabaya
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Rancang Bangun Sistem Controlling Rpm Pada Main Engine Berbasis Arduino Uno Guna Mencegah Terjadinya Overspeed Reski Kurniawan; Agus Dwi Santoso; Upik Widyaningsih
Jurnal Kendali Teknik dan Sains Vol. 2 No. 3 (2024): Juli: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i3.3243

Abstract

As an important means of sea transportation for the distribution of goods and human mobility between islands, ships require a reliable prime mover to avoid wear or damage, especially when overspeeding occurs which can result in fire. Therefore, a prototype was created that uses an IR Obstacle sensor to monitor the RPM speed of the rotating engine. By using Arduino Uno as a processor, this prototype is able to display the RPM value on the LCD and provide a signal in the form of a green light if the speed is below 4000 Rpm, as well as a red light and buzzer sound if overspeed occurs above 4000 Rpm, followed by the engine turning off after 15 seconds. Testing shows that this prototype has a high level of accuracy, with a difference between 0.08% to 2.73% and an average difference of 1.003%.
Rancang Bangun Prototipe Pengisian Air Expansion Tank Berbasis IoT I Gede Yoga Adi Wira Nata; Agus Dwi Santoso; Ardhiana Puspitacandri
Jurnal Kendali Teknik dan Sains Vol. 3 No. 1 (2025): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i3.3842

Abstract

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions
Development of PCB Defect Detection System Using Image Processing With YOLO CNN Method Agus Dwi Santoso; Ferry Budi Cahyono; Brendi Prahasta; Imam Sutrisno; Agus Khumaidi
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (212.907 KB) | DOI: 10.29099/ijair.v6i1.343

Abstract

Inside the equipment there are many electronic components such as resistors, transistors, capacitors and so on. When used in the production of electronic equipment, PCBs are very influential in the manufacture of these electronic devices, for example, when there are only a few broken or damaged PCB paths, the electronic device cannot be operated properly. So it is very important in the PCB Quality Check process to check whether there is damage to the PCB or not. Usually in PCB inspection only direct checking is used in the conventional way. Therefore, in this study, the author tries to create and analyze a PCB flaw checking tool with the help of a camera that has a high revolution to replace human vision to make it easier and save costs. The application of this PCB checking tool uses a technology called a laptop and a camera. With these two technologies, Image Processing can be used to detect objects using the OpenCv and Tensorflow libraries. PCB flaw detection tool with the help of Image Processing with the YOLO Convolutional Neural Network method to help determine broken paths and drill holes on the PCB
An MSI-Transformed Multiple Linear Regression Model for Early Warning of Seafarers' Safety Compliance in a Maritime IDSS Prototype Fachrudin, Achmad Dhany; Novitasari, Novitasari; Zainuddin, Mochamad; Azhar, Fieranda Firdaus; Santoso, Agus Dwi; Basuki, Nanang
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i2.32310

Abstract

This study developed an MSI-transformed multiple linear regression model to estimate seafarers’ safety compliance from fatigue and occupational stress and implemented the resulting equation in a Python-based Maritime Intelligent Decision Support System prototype. Data were collected from 49 professional seafarers using a five-point Likert questionnaire measuring fatigue, occupational stress, and safety compliance. The ordinal responses were transformed into interval-based scores through the Method of Successive Intervals and analysed using ordinary least-squares regression. The overall model was statistically significant, F(2,46)=4.139, p=0.0222, with R2=0.153. Fatigue produced a negative but non-significant coefficient (β=−0.1020, p=0.489), while occupational stress also showed a negative coefficient (β=−0.2366, p=0.092). Thus, the predictors jointly accounted for a modest proportion of compliance variation, although neither showed an independently significant association at the 5% level. The estimated equation was embedded in the prototype to generate compliance scores and assign preliminary Safe, Alert, and Critical categories. Generative AI was restricted to translating deterministic outputs into concise mitigation narratives and did not calculate scores or determine categories. The study provides a transparent and reproducible workflow integrating ordinal-score transformation, interpretable regression, and computational decision support. The resulting architecture preserves traceability, supports human oversight, and demonstrates an exploratory early-warning framework for maritime safety compliance rather than a validated predictor of accidents or individual unsafe behaviour under current operational assessment conditions.
Co-Authors Abdillah, Muhammad Rauf Agus Khumaidi Agus Suwarno Akhmad Kasan Gupron Alia, Diana Anak Agung Istri S.W Andrew Joewono, Andrew Andriya Risdwiyanto Ardhiana Puspitacandri Arisusanty, Dian Junita Arleiny Arleiny Arleiny, Arleiny Azhar, Fieranda Firdaus Bambang Bagus Harianto Bangun, Eka Uliyanti Putri Br. Bhaskara, Dewa Gede Aditya Brendi Prahasta Dhany Fachrudin, Achmad Dhimas Ardiansyah Surya Atmadja Dimas Satria Abdullah Dirhamsyah, Dirhamsyah Dwi Yanti Margosetiyowati Dyah Ratnaningsih Eka Mahendra, Dani Eka Wahyu Ardhi Eka Wahyu Ardhi Elly Kusumawati Faris Nofandi Ferry Budi Cahyono Fery Budi Cahyono Hayati Hayati Helmy Sahirul Alim, Helmy I Gede Yoga Adi Wira Nata Ibnu Maja Imam Sutrisno Jogo, Boedojo Wiwoho Soetatmoko Judijanto, Loso Krismawati , Irene Evi Kristanto, Vigih Heri Kuntoro Bayu Ajie M Mahrus Hidayat Milawati Moejiono Moejiono Mooy, Elvanndana Lae Mudakir Muh. Nasrul Muhammad Bima Saktia Kharissena Muhammad Dahri, Muhammad Mukharomah, Hanifah Putri Nur Nanang Basuki Nazaruddin Ahmad Novitasari Novitasari Nugraha, Bugi Nurdiansari, Henna Nurir Rohmah Pambudiyatno , Nyaris Prassetyo, Sindu Dwi Pratama, Rizki Adi Prisetia Rini, Ambar Putra, Jonathan Rizki Eka Putri Isrok Wanda Oktavia Putri, Frita Ayu Sistyana Rahmawati, Maulidiah Ratih, Sindy Renta Novaliana Siahaan Reski Kurniawan Retno Sawitri Wulandari Reyhan Batara Victorrahman Rizqi Aini Romadoni, Selfi Amalia Romanda Annas Amrullah Rukiyanto Rukiyanto, Rukiyanto Samsul Huda Shafira, Alya Jasmine Sony Akbar S Tanti Diyah Rahmawati Teguh Pribadi Trisnowati Rahayu Upik Widyaningsih Wani Sihaloho, Otri Zainuddin, Mochamad Zuhal Qad’r Al Auzaiy