Article Per Year (5 Year)
p-Index From 2021 - 2026
3.904
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Seni ITS Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer REKAYASA Jurnal Informatika dan Teknik Elektro Terapan Jurnal IPTEK ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri International Journal of Marine Engineering Innovation and Research INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) JISO : Journal of Industrial and Systems Optimization JTEIN: Jurnal Teknik Elektro Indonesia Journal of Applied Smart Electrical Network and System (JASENS) Journal of Soft Computing Exploration Jurnal Techno Bahari Bulletin of Community Engagement Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Inovasi Global Jurnal Cakrawala Maritim Journal of Soft Computing Exploration
Rinanto, Noorman
Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
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.
Implementation of YOLOv5s for Automatic Waste Category Classification in Digital Waste Bank Systems Rinanto, Noorman; Mat Syai’in; Agus Khumaidi; Muhammad Khoirul Hasin; Lilik Subiyanto; Vivin Setiani; Firstama Yusuf Noor; Harun Ismail
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 20 No. 1 (2026)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v20i1.1894

Abstract

The increasing volume of organic waste in campuses or households demands innovative solutions for waste management and classification. This study proposes an automated classification system based on deep learning using the YOLOv5s algorithm to detect 14 categories of inorganic waste in real-time. The dataset consists of over 3.500 labeled images, annotated via Makesense.ai and augmented using Roboflow. The model was trained on Google Collaboratory for 100 epochs using the YOLOv5s architecture and evaluated based on precision, recall, F1-score, and mean Average Precision (mAP). Training result show mAP@0.5 approaching 100% and mAP@0.5:0.95 around 85%, with an average confidence score of 88.30% during real-time testing using a webcam. These findings demonstrate that YOLOv5s can accurately and efficiently classify waste objects, offering strong potential for integration into digital waste bank systems to enhance the efficiency and transparency of waste management processes.
Automatic identification system big data‑driven maritime traffic density prediction in surabaya port using PCA and k‑means clustering Arfianto, Afif Zuhri; Haj, Muhammad Izzul; 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.
Implementation of Robot Operating System on Autonomous Surface Vehicle for Trajectory Localization with You Only Look Once Method Rinanto, Noorman; Gusti Audryadmaja, Anugerah Ekha; Ahmad Putra, Zindhu Maulana; Khumaid, Agus; Adhitya, Ryan Yudha; Syaiin, Mat; Rachman, Isa
Jurnal Teknik Elektro dan Komputer TRIAC Vol 11, No 2 (2024): Oktober 2024
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v11i2.28070

Abstract

The development of robotics technology, especially in the field of autonomous vehicles, has made rapid progress in recent years. This study focuses on the development of a trajectory detection and localization system on an Autonomous Surface Vehicle (ASV) using the Robot Operating System (ROS) and the You Only Look Once algorithm version five (YOLOv5). ASV is an autonomous surface vehicle used for various applications, such as underwater mapping and environmental monitoring. In this study, ROS is implemented as a hardware and software integration platform to improve the accuracy of object detection and localization, especially the red and green buoys as trajectory boundaries. Testing was carried out in a real environment to assess the performance of the system, which was previously only based on simulation. The results showed that the integration of ROS and YOLOv5 increased the navigation speed of the ASV, with an increase in the average travel time from 1 minute 16.2 seconds to 1 minute 11.2 seconds, and the success of object detection reached 70% out of 50 trials. This study contributes to the development of ASV technology by increasing the accuracy, efficiency, and reliability of the system in detecting and localizing objects in complex trajectory areas.
Co-Authors , Rini Indarti Adam Maulana Adhitya, Ryan Yudha Adhitya, Ryan Yudha Adianto Afiqi, Muhammad Agus Khumaidi Agus Khumaidi Agus Khumaidi Ahmad Alam Ardiansyah Ahmad Erlan Afiuddin Aldi Febriansyah Alfianto Taufiqul Malik Anda Iviana Juniani Anggarjuna Puncak Pujiputra Annas Singgih Setiyoko Antonius Edy Kristiyono Ardhan, Mohammad Ardhan Fawwaz Arfianto, Afif Zuhri Arigo, Mohammad Arigo Al. Hafid Arvi, Muhammad Indrastata Iftitana Bagus, Pradana Bagus Mauludin Bayu Wiro Karuniawan Bayu, Nurissabiqoh Binta Budi Prasojo Budi, Perdinan Setia C. I. Sutrisno Catur Rakhmad Handoko Catur Rakhmad Handoko, Catur Rakhmad Dana Hartono Dhika Adhitya Purnomo Dian Asa Utari Didi, Perdinan Setia Budi Dimas Pristovani Riananda Dwi Sasmita Aji Pambudi Dwi Sasmita Aji Pambudi Edy Setiawan Endrasmono, Joko Evi Nafiatus Sholikhah Farizi Rachman Faruq, Habib Ngumar Firstama Yusuf Noor Fitri Hardiyanti Gresela Sitorus Gusti Audryadmaja, Anugerah Ekha Habib Ngumar Faruq Hafid, Mohammad Arigo Al. Haj, Muhammad Izzul HAMMAM NURAFALAH, RAMADANI BIMA HAMMAM NURAFALAH, RAMADANI BIMA Hartono, Dana Harun Ismail Hasin, Muhammad Khoirul Ii Munadhif Ii Munadhif Ii Munadhif, Ii Ika Pramestiani Imam Sutrisno Irfan Marzuqi Isa Rachman Joko Endrasmono Khumaid, Agus Lilik Subiyanto Lilik Subiyanto Malik, Alfianto Taufiqul Mardlijah - Masitah, Dewi Ayu Mat Syai'in Mat Syai’in Maulana Ahmad Putra, Zindhu Mirna Apriani Mochamad Yusuf Santoso Muhammad Ja'far Ubaidillah Muhammad Khoirul Hasin Nurissabiqoh Binta Bayu Petrisia Widyasari Sudarmadji Pratama, Novaly Arya Pristovani Riananda, Dimas Pujiputra, Anggarjuna Puncak Purnomo, Dhika Adhitya Putra, Zindhu Maulana Ahmad Putri Nur Rahayu Rafsanjani, Zainu Rahmat, M. Basuki Riananda, Dimas Pristovani Riko Satrya Fajar Jaelani Putra Rizal Indrawan Rizky, Sofi Berliana Rohmansyah, Ade Fitra Ryan Yudha Adhitya Ryan Yudha Adhitya Ryan Yudha Adhitya Sa'diyah, Aminatus Sarena, Sryang Tera Sarena, Sryang Tera Sartika Oktavian Puji Prameswari Setiyono, Dwi Agus Sholahuddin Muhammad Irsyad Sofi Berliana Rizky Sryang T Sarena Sryang Tera Sarena Syaiin, Mat Tama, Shafa Frilla Tri Andi Setiawan Tusila, Fonda Jiwa Arkananta Tusila Ulya, A. Arif Zuchal Urip Mudjiono, Urip Vivin Setiani Wahyudi, Mohammad Thoriq Widya Primaswari Putri1 Yaqin, Muhammad Ainul Yaqin Zainu Rafsanjani Zindhu Maulana Ahmad Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra