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All Journal Jurnal SOLMA INOVTEK POLBENG TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Applied Technology and Computing Science Journal Infotekmesin Indonesian Journal of electronics, electromedical engineering, and medical informatics Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri International Journal of Advances in Data and Information Systems International Journal of Marine Engineering Innovation and Research Jurnal Pengabdian UNDIKMA Journal of Applied Smart Electrical Network and System (JASENS) Indonesian Journal of Engineering Research Educivilia: Jurnal Pengabdian Pada Masyarakat Elektriese: Jurnal Sains dan Teknologi Elektro Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Inovasi Global Jurnal Cakrawala Maritim SISFOTENIKA Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Soft Computing Exploration
Dwi Sasmita Aji Pambudi
Department Of Marine Electrical Engineering, Shipbuilding Institute Of Polytechnic Surabaya
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Studi Pendahuluan Sistem Akuakultur Cerdas Berbasis Online Monitoring Terhadap Unjuk Kerja Kincir Aerasi Muh. Anis Mustaghfirin; Priyambodo Nur Ardi Nugroho; Dwi Sasmita Aji Pambudi; Eky Novianarenti
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1534

Abstract

This article discusses a preliminary study of developing a paddlewheel aerator for shrimp ponds using an integrated intelligent aquaculture system to support intensification. Two paddlewheel aerators with different phases have been successfully installed. The test was carried out on two different types of motors, which were intended to comprehend the performance of every motor on a paddlewheel aerator. The ratio of the speed values for a single-phase motor was 102 rpm and for a 3-phase motor was 110.3 rpm. The data from the performance observation of the aeration wheel motor can be viewed via a smartphone using a website application. The data displayed from the observations are in the form of data on voltage, current, frequency, power, power factor, and the power generated by the pinwheel motor. The test results show the performance of the aeration wheel motor that works under normal conditions with an average measurement error of 0.23%, below the acceptable error limit of 0.5%. This research forms the basis for a smart aquaculture system that can be developed domestically to support local industries in Indonesia.
Kajian Eksperimen Pengaruh Variasi Perubahan Sudut Kincir terhadap Kinerja Paddle Wheel Aerator Mustaghfirin, Anis; Novianarenti, Eky; Abid Al Fatih, Muhammad; Nugroho, Priyambodo Nur Ardi; Sasmita Aji Pambudi, Dwi; Arum Wulandari, Dyah
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1652

Abstract

The main problem discussed in this study is the effort to improve the quality of shrimp pond water, especially the low dissolved oxygen levels by modifying the angle of the aerator wheel. The results showed that dissolved oxygen (DO) levels were very important in shrimp pond culture and that the paddle wheel aerator was a useful tool in intensive aquaculture systems because it could produce DO as needed. The study used a model designed using Solidworks software and tested at a scale of 1:10 with 3 variations of angles (15°, 35°, and 55°) at each wheel angle. The test results show that the angle variation affects the rotational speed and DO production, with the highest rotational speed and DO production achieved at an angle variation of 55°. However, the best parameters for the aerator were found at a variation of the wheel angle of 35° and a rotational speed of 300 rpm, because it produced the highest dissolved oxygen with relatively low power.
The Experiment Practical Design of Marine Auxiliary Engine Monitoring and Control System Ruddianto, Ruddianto; Nugraha, Anggara Trisna; Pambudi, Dwi Sasmita Aji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 4 (2021): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i3.212

Abstract

Maintaining the quality of transportation services and reducing operational costs are some of the problems in shipping companies. This problem can be solved by several solutions. One of them is a reliable machine alarm monitoring and operation system. This study aims to provide a practical design of the ship's auxiliary engine start-stop control system and alarm system. This study uses an experimental method with a descriptive explanation of the observations. The test results show that this system is able to provide a simple, inexpensive, and efficient engine alarm system design to develop this technology for shipping companies. The PLC used is suitable for controlling this system because of its fast response. In addition, the utilized HMI can communicate efficiently with the monitoring system showing the machine parameter interface directly. Direct application of the system has been created provides technology development solutions for monitoring and controlling systems auxiliary machines for shipping companies to reduce operational cost.
Design of Charger Controller on Wind Energy Power Plant with Arduino Uno Based on Pi Controller Nugraha, Anggara Trisna; Pambudi, Dwi Sasmita Aji; Utomo, Agung Prasetyo; Priyambodo, Dadang
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 4 (2021): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i3.214

Abstract

Technological developments are increasing every day. Most human activities do not escape the use of electrical energy. The increase in world fuel oil and its scarcity has led to many new innovations, one of which is the use of renewable energy. The most widely used renewable energy is solar, wind, and hydro energy. In order to support the effectiveness of the generator, a charger controller is needed to maintain battery performance. In this accumulator, the maximum voltage required to charge is 14.4 Volts. The problem that arises is how the voltage generated from the generator does not match the voltage required in the battery charging process. From this problem, a charger controller with a buck converter circuit with the PI method was made to stabilize the output voltage for charging. The aim o this study is to make a battery charger that can stabilize the level voltage of the battery charger. From the research, it was found that the efficiency value of the charger controller is 83-95%, and the average error percentage is 1.373%. For this reason, it can be concluded that the charge controller has good performance in terms of efficiency and percentage of output voltage error. The charger controller is expected to maintain battery performance and the lifetime of the battery
Spatio-Temporal AIS Big Data Analytics of Vessel Traffic Patterns in Kaohsiung Port Arfianto , Afif Zuhri; Santosa, Anisa Fitri; Sutrisno, Imam; Hasin, Muhammad Khoirul; Asmara, I Putu Sindhu; Riananda, Dimas Pristovani; Pambudi, Dwi Sasmita Aji
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1504

Abstract

Maritime traffic management in major ports requires a comprehensive understanding of vessel movement patterns to ensure operational efficiency and safety. This study presents a spatio-temporal analysis of vessel traffic in Kaohsiung Port, Taiwan, utilizing a 10-month snapshot of AIS data (December 2024–October 2025). Employing quantitative methods including Kernel Density Estimation (KDE) for spatial intensity mapping, grid-based discretization for traffic density quantification, and temporal resolution analysis at multiple scales, the research identifies key operational hotspots and peak traffic periods. The analysis encompasses 1,247,890 AIS records from diverse vessel types, revealing distinct spatial clustering patterns in port entrance channels, anchorage zones, and terminal areas. Temporal analysis demonstrates pronounced diurnal and weekly cyclical patterns, with peak traffic intensities occurring during daytime operational hours and weekdays, reflecting commercial shipping schedules and port operational rhythms. The KDE-based hotspot identification reveals high-density zones concentrated within 0.5 nautical miles of major container terminals, indicating critical areas requiring enhanced traffic monitoring and collision avoidance measures. Grid-based traffic density quantification provides granular insights into vessel distribution across different port sectors, enabling zone-specific risk assessment and resource allocation strategies. The findings reveal complex spatio-temporal patterns that reflect the port's role as a major container hub in the Asia-Pacific region. Despite data quality limitations such as unspecified vessel types (59.9%) and incomplete destination fields, the results provide actionable insights for port authorities to enhance safety, optimize operations, and support strategic planning. This methodological framework demonstrates scalability and transferability to other port environments, contributing to the advancement of data-driven maritime traffic management systems
Analisis Quality Of Service Integrasi Mqtt-Lora dengan Hambatan untuk Monitoring Autonomous Underwater Vehicle Sartika Oktavian Puji Prameswari; Noorman Rinanto; Zindhu Maulana Ahmad Putra; Dwi Sasmita Aji Pambudi; Ryan Yudha Adhitya
Jurnal Inovasi Global Vol. 2 No. 8 (2024): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v2i8.146

Abstract

Pertumbuhan teknologi dalam bidang robotika, khususnya robot bawah air, telah meniptakan peluang baru dalam eksplorasi dan aplikasi di berbagai sektor. Robot bawah air telah berevolusi dari bentuk robot yang dikendalikan secare remote, menjadi varian yang beroperasi secara mandiri (Autonomous Underwater Vehicle). GCS berperan sebagai monitor atau pusat kontrol yang akan memudahkan pengguna untuk melakukan pemantauan di darat, ketika AUV sedang berada di bwah air. Dengan fokus pada implementasi GCS menggunakan protokol MQTT pada penelitian ini, diharapkan dapat memberikan kontribusi pada pengembangan teknologi AUV yang dapat diandalkan dan efisien untuk berbagai tugas dan misi bawah air. Hasil penelitian menunjukkan bahwa integrasi MQTT dan LoRa mampu meningkatkan efisiensi komunikasi dan monitoring AUV secara signifikandengan nilai rata-rata delay pengiriman dan penerimaan data hanya 0,02 detik, dengan nilai perbedaan delay antar pangiriman paket data sebesar 0,32 milidetik, dan jumlah banyaknya data yang dipindahkan dengan rentang waktu tertentu sebesar 0,304 Kb/s, serta jumlah paket data yang hilang adalah 0. Berdasarkan pengujian yang telah dilakukan, sensor HWT905, MS5837, dan Ublox M8-N juga menunjukkan tingkat akurasi yang memadai.
Performance Mapping and Fuel Efficiency Analysis of an LSCS Piston Diesel Engine under Injector Pressure Variation for Marine Applications Benedicta Dian Alfanda; Budhi Santoso; Dwi Sasmita Aji Pambudi; Mahasin Maulana Ahmad; Kiki Dwi Wulandari; Widya Emilia Primaningtyas; Ratna Muninggar; Syifa Atho Illah Firmansyah
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 2 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i2

Abstract

Fuel efficiency and stable engine performance are important issues in small diesel engines used for marine-related applications, such as auxiliary power units, generator sets, and small vessel systems. This study investigates the effect of injector pressure variation on the performance and fuel efficiency of a four-stroke single-cylinder diesel engine equipped with a Lateral Swirl Combustion System (LSCS) piston. The injector pressure was varied at 170, 180, and 190 bar, while the engine was tested at different speeds of 1000, 1200, 1300, and 1400 rpm under electrical loads of 2000, 3000, and 4000 W. The evaluated performance parameters included output power, torque, brake specific fuel consumption (BSFC), brake mean effective pressure (BMEP), and performance map characteristics. The results show that injector pressure significantly influenced the combustion performance and fuel utilization of the LSCS piston diesel engine. Among the tested conditions, the 190 bar injector pressure produced the best overall performance, with a maximum power of 2.72 kW, torque of 18.65 N·m, BSFC of 371.06 g/kWh, and BMEP of 1.95 bar. Compared with the 180bar setting, the 190bar injector pressure increased power by 1.87%, increased torque by 1.96%, reduced BSFC by 7.32%, and increased BMEP by 2.09%. The performance map also indicated that the 190bar setting provided the most favorable operating region, characterized by relatively low BSFC and higher BMEP. These findings suggest that injector pressure optimization combined with LSCS piston geometry can improve combustion effectiveness and fuel efficiency in small diesel engines for marine-related applications.
Automatic identification system big data‑driven maritime traffic density prediction in surabaya port using PCA and k‑means clustering Afif Zuhri Arfianto; Muhammad Izzul Haj; Muhammad Khoirul Hasin; Noorman Rinanto; Imam Sutrisno; Dimas Pristovani Riananda; Dwi Sasmita Aji Pambudi
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.v7i1.22

Abstract

The management of maritime traffic directly determines the level of operational efficiency and safety achievable at major ports, including Tanjung Perak in Surabaya, which serves as a critical logistics node for eastern Indonesia. This study presents a comprehensive analysis of maritime traffic density prediction using Automatic Identification System (AIS) big data combined with Principal Component Analysis (PCA) and K-Means clustering techniques. The dataset comprises 1,173 vessel movements recorded in December 2025, encompassing various vessel types, port operations, and voyage characteristics. Through dimensionality reduction using PCA and unsupervised clustering with K-Means, we identified 10 distinct traffic patterns representing different operational profiles. The analysis revealed significant temporal patterns, with peak traffic occurring at 14:00 (79 vessels) and lowest traffic at 02:00 (18 vessels). The clustering results achieved a silhouette score of 0.3863, effectively segmenting vessels based on voyage distance, capacity, speed, draught, and temporal features. The results of this research offer practical guidance for port authorities seeking to improve resource allocation, traffic management, and operational efficiency based on empirical evidence.
Pelatihan Dasar Robotika Berbasis STEM bagi Siswa Sekolah Dasar Al-Islah Surabaya Yudi Andika; Mirza Ardiana; Aulia Rahma Annisa; Dwi Sasmita Aji Pambudi; Mustika Kurnia Mayangsari; Sholahuddin Muhammad Irsyad
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18201

Abstract

This community service program aims to enhance elementary school students’ understanding and basic skills in STEM-based robotics (Science, Technology, Engineering, and Mathematics) at SD Al-Islah Surabaya, thereby fostering adaptive, creative, and innovative character development in response to the challenges of globalization. The program implementation included the preparation of instructional modules, delivery of theoretical materials, basic programming activities, equipment demonstrations, hands-on practice, and evaluation using observation sheets to assess participant performance. The activity was conducted at SD Al-Islah Surabaya and involved 94 third- and fourth-grade students accompanied by their homeroom teachers. The results indicate that 50% of the students were able to operate the robots they assembled. In addition, students demonstrated high levels of enthusiasm throughout the activities, actively asked questions, and were able to independently attempt and operate simple robotic systems. Overall, the program effectively improved students’ problem-solving skills and critical thinking abilities, while also developing their foundational understanding of STEM concepts and robotics techniques. This initiative is expected to serve as an initial step toward integrating robotics education into the curriculum of the partner school.
Analisis Kinerja Sistem Kontrol Hybrid Electric Vehicle (HEV) Menggunakan Metode Neuro-fuzzy Aulia Rahma Annisa; Yudi Andika; Sholahuddin Muhammad Irsyad; Dwi Sasmita Aji Pambudi
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/f5y40s25

Abstract

Electric cars are an environmentally friendly vehicle alternative developed to reduce exhaust gas emissions and air pollution. One example is the Hybrid Electric Vehicle (HEV), which combines an Internal Combustion Engine (ICE) and an electric motor (DC motor) to improve efficiency and torque performance. HEVs generally have a smaller capacity compared to conventional vehicles, making them more fuel-efficient and energy-efficient. The system in an HEV is complex and nonlinear, requiring dynamic model approaches and appropriate control methods to maintain optimal performance. This research aims to analyze the performance of the inverse model neuro-fuzzy control system predictor implemented on an HEV. The test results show that applying a neuro-fuzzy controller can significantly improve the system's ability to achieve a response that matches the reference model. The performance of the DC motor is able to help reduce the speed error difference by up to 50 rpm with a Root Mean Square Error (RMSE) value of 0.582%. Additionally, there is a 1.411% decrease in error value compared to when the ICE is operating without using a neuro-fuzzy controller. Based on these results, the neuro-fuzzy method has proven effective in improving the accuracy and stability of the control system in HEVs.
Co-Authors Abdullah, Kharis Abid Al Fatih, Muhammad Adhitya, Ryan Yudha Afif Zuhri Arfianto Agus Khumaidi Ahmad, Mahasin Maulana Ahmada, Ezra Adillafasyah Alfanda, Benedicta Dian Anggara Trisna Nugraha Anis Mustaghfirin Arfianto , Afif Zuhri Arfianto, Afif Zuhri Arum Wulandari, Dyah Asmara, I Putu Sindhu Asri, Purwidi Aulia Rahma Annisa Aulia Rahma Annisa Benedicta Dian Alfanda Budhi Santoso C. I. Sutrisno Cahyono, Luqman Dadang Priyambodo Dadang Priyambodo Didik Sukoco Dimas Pristovani Riananda Dimas Pritovani Riananda Dyah Arum Wulandari Ekki Kurniawan Eky Novianarenti Eky Novianarenti Emy Sofia Fortunaviaza Habib Ainudin Hasin, Muhammad Khoirul Hendro Agus Widodo, Hendro Agus Hidayat, Mohammd Syafri Imam Sutrisno Imanuel, Petrus Chandra Kiki Dwi Wulandari Lembang, Moses Yudha Dua Lilik Subiyanto M. Sarwoko M. Sarwoko Mahasin Maulana Ahmad Mayda Zita Aliem Tiwana Mayda Zita Aliem Tiwana Mirza Ardiana Moh. Nur Khojim Mohammd Syafri Hidayat Muh. Anis Mustaghfirin Muh. Anis Mustaghfirin Muhammad Abid Al Fatih Muhammad Fikri Fathurrohman Muhammad Izzul Haj Muhammad Khoirul Hasin Mustaghfirin, Anis Mustika Kurnia Mayangsari Nanda Dwi Pangestu Noorman Rinanto Nugroho, Priyambodo Nur Ardi Pramesti, Lely Primaningtyas, Widya Emilia Priyambodo Nur Ardi Nugroho Priyambodo Nur Ardi Nugroho Priyambodo, Dadang Purwoko, Ageng Rochmad Joko Putra, Zindhu Maulana Ahmad Ratna Muninggar Raul, Raul Adam At Thariq Azhiim Ravi, Alwy Muhammad Riananda, Dimas Pristovani Rinanto, Noorman Ruddianto Ruddianto Ruddianto, Ruddianto Ryan Yudha Adhitya Ryan Yudha Adhitya Santosa, Anisa Fitri Sartika Oktavian Puji Prameswari Setiyoko, Annas Singgih Sholahuddin Muhammad Irsyad Sugeng Santoso Sumardiono Sumardiono, Sumardiono Syifa Atho Illah Firmansyah Utomo, Agung Prasetyo Widya Emilia Primaningtyas Wulandari, Kiki Dwi Yudi Andika Yuniati, R.A. Norromadani Yuning Widiarti Zhafirah, Talitha Amalia Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra