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All Journal International Journal of Science and Engineering (IJSE) KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Jurnal Pendidikan Teknik Mesin Jurnal Penelitian dan Pengembangan Pertanian Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Peternakan Indonesia International Journal of Artificial Intelligence Research IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Penelitian dan Pengembangan Pertanian Jurnal Litbang Provinsi Jawa Tengah Bulletin of Community Engagement Formosa Journal of Computer and Information Science Indonesian Journal of Innovation Multidisipliner Research Joong-Ki
C. I. Sutrisno
Faculty Animal Science And Agriculture University Of Diponegoro Jl. Prof. Sudarto SH No. 1 Tembalang Semarang Central Java
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Veterinary Other

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Four Wheel Omni Trajectory with Gyrodometry Method in the Indonesia 2022 Ash Robot Contest Sutrisno, Imam; Harlinanda, Daffa Alifian; Ahmad, Zindhu Maulana; Priyonggo, Projek; Mantau, Aprinaldi Jasa; Santosa, Ari Wibawa Budi; Khalil, Muhammad; Umasangadji, Fahmi
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): June
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v2i2.130

Abstract

The National Achievement Center (Puspresnas) and the Ministry of Education and Culture of the Republic of Indonesia proudly present the Indonesian Ash Robot Contest (KRAI), a yearly student robotics competition where teams tackle ash-related challenges with their robot creations. At KRAI 2021, it was shown that many robots were controlled using joysticks and resulted in a lack of effectiveness in robotic motion. The use of a joystick makes the movement of the robot take longer. This is because the robot is controlled by humans and the robot has not been able to pinpoint the robot's location. Gyrodometry is a method to map the robot's position using a inner ear and compass of the machine. In this research, Gyrodometry is used to map the position based on the readings of the gyroscope sensor and rotary encoder so that the robot can move automatically. In this research, the KRAI hitter robot can map positions and move in an accurate direction and can move automatically and effectively so that it can save more time and can increase the possibility of strategy in the match. From the results of this study, it was found that without using gyrodometry the error of X reached 11.825 cm and Y reached 35.1325 cm and also the angle error reached 13.7 degrees. and by using gyrodometry error X reaches 4.25 cm and Y reaches 5.775 cm and angle error 2.01 degrees. From these results, it was found that using gyrodometry was better than without using gyrodometry. The addition of waypoints to the robot only produces an average error of 8.2 cm X and Y error of -7.8 cm and the angle error reaches 10.2 degrees.
Underwater Remotely Operated Vehicle Control System Ar-chitecture Sutrisno, Imam; Widiarti, Yuning; Priyonggo, Projek; Hartanto, Tri Mulyatno Budhi; Santosa, Ari Wibawa Budi; Nofandi, Faris; Gunarti, Monika Retno; Prawoto, Agus; Wahyuni, Anak Agung Istri Sri
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): June
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v2i2.132

Abstract

Underwater Remotely Operated Vehicle (ROV) control system architecture, work Class II - underwater inspection is demonstrated. The object is programmed on MATLAB simulink. The nonlinear modeled plants were processed by approximation way. Author planned a controller of an underwater ROV object. PID controller is used modeled plant. Tuning PID tool is used MATLAB for choose underwater ROV controller. Researchers tested an underwater ROV for system and solving problems an underwater ROV architecture.
Enhancing Fishing Efficiency with Geographic Information System and Optimized Methods Santosa, Anisa Fitri; Arfianto , Afif Zuhri; Hasin, Muhammad Khoirul; Sutrisno, Imam; Sukoco, Didik; Riananda, Dimas Pristovani
IT Journal Research and Development Vol. 9 No. 1 (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2024.13859

Abstract

Traditional fishing techniques frequently lack efficiency and optimization, resulting in fishermen obtaining unsatisfactory yields. This study presents a novel approach by incorporating Geographic Information System (GIS) technology, notably utilizing Leaflet, to improve fishing techniques. The suggested system incorporates a LoRa node tool that logs the journeys of fishermen, offering comprehensive itineraries and data on the distribution of fish and unfavorable weather conditions. Notable outcomes were attained by employing the haversine approach to compute distances between the LoRa Gateway and different data points. The approach exhibited a negligible error margin of 0.157% in contrast to the calculations performed in Excel. In addition, the GPS accuracy testing produced remarkable results, with latitude and longitude errors of 0.000116% and 0.000002%, respectively. The LoRa system demonstrated a range of RSSI performance, with values ranging from -57 dBM at 50 meters to -121 dBM at 1500 meters. This range of performance guarantees dependable transmission of data over significant distances. The findings underscore the GIS-based strategy's efficacy in enhancing the effectiveness and precision of conventional fishing methods, presenting a promising technical improvement for the fishing sector.
PLC Greenhouse Automatic Temperature Control Using Fuzzy Logic Method to Optimize Pakcoy Growth harliman, saleh; Rosyad, Wafatikhur; Sutrisno, Imam; Endrasmono, Joko
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.788 KB) | DOI: 10.29099/ijair.v6i1.362

Abstract

Vegetables are a good food, especially to meet the needs of vitamins and dietary fiber. However, in urban areas, there is very little land to develop vegetable farming. Hydroponic vertical planting system can be a solution. Pakcoy plants have growth that only takes 40 to 45 days to reach the ideal harvest age. The use of a greenhouse is also suitable for better pest control. However, the greenhouse has the characteristic of storing heat that it absorbs up to 5 degrees Celsius hotter than the outside temperature. The use of greenhouses with temperature control can accelerate the growth of vegetables. Based on this problem, making temperature regulation very necessary, the way is to adjust the rotation speed of the cooling fan using the fuzzy logic method so that the main goal is to save energy and air with a lower temperature can be flowed. The use of this hydroponic greenhouse module is proven to be able to maintain the temperature not much higher than the outside temperature. Comparison of fuzzy logic output values using Matlab software and fuzzy logic output values using PLC has an average error value of 0.27% for fan 1 and 0.35% for fan 2. The performance of the fuzzy logic method used can also be said to be good with an average response time of 61.8 seconds. With the performance of the system, the environment of the greenhouse can be suitable for the plant to grow optimally. 
Development of PCB Defect Detection System Using Image Processing With YOLO CNN Method Santoso, Agus Dwi; Cahyono, Ferry Budi; Prahasta, Brendi; Sutrisno, Imam; Khumaidi, Agus
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK 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
Pembuatan Desain Smartship untuk Perjalanan dari Pantai Indramayu Boedi Herijono; Sutrisno, Imam; Projek Priyonggo; Fahmi Umasangadji; Ardiansyah; Dedy Hidayat Kusuma
Bulletin of Community Engagement Vol. 4 No. 2 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i2.1378

Abstract

This research aimed to design an efficient and environmentally friendly smartship to support maritime transportation activities in Pantai Indramayu. Research methods included literature review, 3D modeling, and numerical simulation. Results demonstrated that the proposed smartship design can reduce fuel consumption by up to 20% compared to conventional vessels of similar size. Additionally, the developed autonomous navigation system enables the ship to operate independently under various weather conditions. In conclusion, this smartship design holds significant potential to enhance operational efficiency and reduce environmental impact within Indonesia's maritime industry  
The Development of ROV (Remotely Operated Vehicle) by Applying PID (Proportional Integral Derivative) for Monitoring and Preservation of Coral Reefs at Pasir Putih Beach Situbondo Budianto; Sutrisno, Imam; Widiarti, Yuning; Rahmat, Mohommad Basuki
Bulletin of Community Engagement Vol. 4 No. 3 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i3.1592

Abstract

The necessity for the monitoring of coral reefs is becoming increasingly apparent, in order to facilitate the tracking of the health and development of these ecosystems. It is for this reason that underwater operating robots (ROVs) are being employed as an effective tool for the monitoring of coral reefs. ROVs are capable of diving to varying depths, accessing difficult-to-reach locations, and providing comprehensive visualisation through cameras and sensors. They are also equipped with an ROV depth system that, upon reaching a specified depth, enables the ROV to manoeuvre according to the user's instructions and to support its movements using the PID (Proportional Integral Derivative) Method. This research will investigate the potential of various ROV technologies for optimising the monitoring of coral reefs, including mapping, sampling, and environmental parameter measurement capabilities. The ability of ROVs to collect data in real-time without disturbing the ecosystem provides an advantage in long-term monitoring of changes in coral reefs. Furthermore, the potential challenges associated with the utilisation of ROVs for coral reef monitoring, including operational costs, technical maintenance, and the integration of complex data, are also addressed. Potential solutions to these challenges are also presented in order to facilitate the development and application of ROVs in coral reef monitoring. The combination of the advanced technology of ROVs with the urgent need for coral reef monitoring will facilitate a more comprehensive understanding of the health of these ecosystems, thereby enabling the implementation of proactive measures for the conservation and protection of coral reefs worldwide.
Development of an IoT-Based Ship Engine Performance Monitoring System to Enhance Operational Efficiency Sutrisno, Imam; Umasangadji, Fahmi; Ardiansyah; Almuzani, Nafi; Bashori, Achmad; Mudjiono, Urip; Priyonggo, Projek; Purwanti, Endang Pudji
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14134

Abstract

This research aims to develop an IoT-based ship engine performance monitoring system to enhance operational efficiency in marine vessels. The study introduces a real-time monitoring prototype integrating sensors, microcontrollers, and cloud-based data visualization. The variables observed include engine temperature, RPM, and fuel consumption. The methodology follows a design and implementation approach, tested on a diesel-powered training ship over a two-week observation period. Data were collected continuously and analyzed to detect performance anomalies and efficiency trends. Results show that the system improves situational awareness and enables proactive maintenance decisions. The developed system has implications for reducing fuel costs, extending engine life, and supporting digital transformation in marine engineering operations
Enhancing Aquaculture Efficiency through IoT-Based Monitoring of Solar PV Systems Handoko, Catur Rakhmad; Sutrisno, Imam; Sidi, Pranowo; Ardiansyah
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14139

Abstract

This research presents the design and implementation of an IoT-based monitoring system for solar photovoltaic (PV) performance in shrimp aquaculture ponds. The system aims to optimize the use of solar energy for powering critical operations such as water pumps and aerators in off-grid environments. It integrates sensors, a microcontroller, and cloud-based data visualization to track parameters including panel voltage, current, temperature, and power output. A prototype was deployed in a shrimp farm over a two-week period, with continuous data logging and real-time monitoring. The results indicate improved energy management and system reliability, supporting operational efficiency and sustainability in aquaculture. This study contributes to smart aquaculture practices by introducing a scalable and low-cost renewable energy monitoring solution
Penerapan Teaching Factory Berbasis Proyek ROV untuk Meningkatkan Skill Mekatronika Siswa SMK Puger Poetro, Joessianto Eko; Sutrisno, Imam; Rahmat, Mohammad Basuki; Widiarti, Yuning; Bashori, Achmad
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 4 No. 3: Mei 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v4i3.8673

Abstract

Keterampilan mekatronika merupakan kompetensi utama yang perlu dikuasai oleh siswa Sekolah Menengah Kejuruan (SMK), khususnya dalam menghadapi tantangan dunia industri 4.0 dan kebutuhan kerja berbasis teknologi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan mekatronika siswa SMK Puger melalui pendekatan Teaching Factory berbasis proyek pembuatan Remotely Operated Vehicle (ROV). Metode pelaksanaan meliputi pelatihan dasar teori ROV, praktik perakitan komponen elektronik dan mekanik, pemrograman mikrokontroler, serta pengujian dan evaluasi hasil kerja siswa. Proyek ini tidak hanya mengembangkan kemampuan teknis siswa, tetapi juga mendorong peningkatan soft skills seperti kerja tim, problem solving, dan komunikasi teknis. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan siswa pada aspek elektrikal, mekanikal, dan pemrograman. Program ini juga memberikan pengalaman nyata bagi siswa dalam menerapkan pembelajaran berbasis industri yang aplikatif. Dengan demikian, Teaching Factory berbasis proyek ROV terbukti efektif sebagai media pembelajaran untuk memperkuat kompetensi mekatronika di tingkat SMK.
Co-Authors A. I. Izzatullah A. Subrata Achmad, Vandy Adhitya, Ryan Yudha Agus Khumaidi Ahmad, Zindhu Maulana Al Qori'ah Almuzani, Nafi Ardiansyah Arfianto , Afif Zuhri Ari Wibawa Budi Santosa Ari Wibawa Budi Santosa Asmara, I Putu Sindhu B. Sulistiyanto B. Sulistiyanto Bashori, Achmad Boedi Herijono Budianto Budianto Budianto Cahya Setya Utama Cahyono, Ferry Budi Caribu Hadi Prayitno Catur Rakhmad , Handoko Catur Rakhmad Handoko, Catur Rakhmad D. W. Harjanti Dedy Hidayat Kusuma Desi Tri Cahyaningati Desi Tri Cahyaningati Didik Dwi Suharso Didik Sukoco Didik, Sukoco Dinda Pramanta Dyah Riandadari Endang Pudji Purwanti Endrasmono, Joko Fahmi Umasangadji Fais Hamzah Faris Nofandi Fuady, Esqy Dhiya'ul Gaguk Suhardjito Gunarti, Monika Retno Hamdi Mayulu Handayani, Alfina harliman, saleh Harlinanda, Daffa Alifian Hartanto, Tri Mulyatno Budhi Hasin, M. Khoirul Hasin, Muhammad Khoirul Heri Sutanto Ihsania, Tsabita Ii Munadhif, Ii Ilhan Shanjaya, Mohammad Irfan ISKANDAR Joessianto Eko Poetro Joessianto Eko Poetro, Joessianto Eko L. K. Nuswantara Laksono Trisnantoro Lilik Subiyanto M. Munasik Mantau, Aprinaldi Jasa Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhammad Khalil, Muhammad Nuri Yasmina Amalia Perwi, Darmajanti Prahasta, Brendi Pranowo Sidi Pranowo, Sidi Pratama, Novaly Arya Prawoto, Agus Projek Priyonggo Sumangun Lukitadi Purwanti, Endang Pudji R. G. Hayusasmita Rahmat, Mohommad Basuki Riananda, Dimas Pristovani Rinanto, Noorman Rini Indarti Rosyad, Wafatikhur S. Sumarsih S. Sumarsih Santosa, Anisa Fitri Santoso, Agus Dwi Sumadi Sumadi Sumarsono Sumarsono Sunarso . Surono Surono Umasangadji, Fahmi Urip Mudjiono, Urip Wahyuni, Anak Agung Istri Sri Widowati, Eny Hari Yudha Adhitya, Ryan Yuning Widiarti Yuning Widiarti, Yuning Zindhu Maulana Ahmad Putra