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All Journal Prosiding SNITP (Seminar Nasional Inovasi Teknologi Penerbangan) e-NARODROID TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Journal of Public Transportation Community
Ariyono Setiawan
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Bahaya Penggunaan Layang - layang di Desa Watuagung, Kecamatan Bungah, Kabupaten Gresik Ariyono Setiawan; Supriadi Supriadi; Fatmawati Fatmawati; Rifdian IS
Journal of Public Transportation Community 25-30
Publisher : Politeknik Penerbangan Surabaya

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

Abstract

Kurangnya pengetahuan dan rendahnya kesadaran masyarakat untuk menjaga keselamatan penerbangan menjadi dasar pengabdian masyarakat ini dilakukan. Pelaksanaan kegiatan ini dilakukan di Desa Watuagung Kecamatan Bungah, Kabupaten Gresik dengan peserta adalah warga sekitar yang gemar bermain layang - layang. Tujuan pengabdian masyarakat ini adalah untuk dapat meningkatkan pengetahuan dan kesadaran bahaya dari permainan layang – layang pada masayarakat desa watuagung. Pelaksaan penyuluhan dilakukan pada 50 orang warga desa watuagung. Materi kegiatan pengabdian ini tentang dampak dari bahaya penggunaan layang - layang.
Sosialisasi Dampak dan Manfaat Tanaman Mangrove Bagi Ekosistem Lingkungan di Teluk Pangpang Hadi Prayitno; Daniel Dewantoro Rumani; Ariyono Setiawan; Untung LN Wibowo; Ahmad Mubarok; Dede Ardian; Ikhwanul Qiram
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 3 No. 2 (2023): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v3i2.3030

Abstract

A mangrove forest ecosystem is a forest that grows and develops in a coastal area, that is, in a marshy land area in a brackish water area. Kedunghasri is the easternmost village, where waste is channeled from upstream to downstream due to lack of discipline on waste management within the community. Through this charity, 500 mangrove trees can be planted to prevent pollution of marine ecosystems. The results of the activities show that planting mangrove trees can raise awareness that mangrove trees are very influential.
Handwriting Character Recognition Javanese Letters Based on Artificial Neural Network Ariyono Setiawan; Achmad Setya Prabowo; Eva Y Puspaningrum
IJCONSIST JOURNALS Vol 1 No 1 (2019): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.699 KB) | DOI: 10.33005/ijconsist.v1i1.12

Abstract

Abstract— Javanese character is one of Indonesia's cultural heritages that must be preserved. Manuscript form of the Javanese character is one of the priceless inheritances. Javanese characters are often called the Hanacaraka font. The development of technology especially in the field of image processing is one method to preserve the culture. The development of image processing methods for detecting characters from images with fewer errors is a great task. The purpose of this research is to create a system of Javanese character recognition from the handwriting into Latin character, so that the young generation can learn the form of Javanese character easily. The method used in this research is back-propagation as a classification method. The trial result of this recognition is to have accuracy 74 %.
Smart Shipping Route Optimization for Fuel Efficiency Using Big Data Analytics Ariyono Setiawan; Widyansih, Upik; Bin Abdul Hadi , Abdul Razak
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.129

Abstract

This research aims to optimize shipping routes by applying big data analytics to improve fuel efficiency. By leveraging real-time and historical data, the study identified the most efficient routes to minimize fuel consumption without sacrificing operational effectiveness. Based on maritime logistics theory, big data analytics, and fuel efficiency, this research combines route optimization models, weather forecasts, and ship performance analysis to support navigation decision-making. In addition, the impact of IMO MARPOL Annex VI regulations, especially EEDI and SEEMP, is also considered in efforts to optimize energy efficiency. The method used is a mixed approach, which combines quantitative analysis of AIS data, weather reports, and fuel consumption records with machine learning algorithms for route optimization. Pearson's correlation analysis evaluates the relationship between speed, distance, travel time, and fuel consumption. Case studies are used to validate the developed model. The results showed that fuel consumption was greatly affected by the speed of the ship, with higher speeds increasing fuel consumption. A negative correlation was found between travel time and daily fuel consumption, suggesting that slower cruising can improve efficiency. The study emphasizes the importance of real-time data processing in route adjustments based on weather, congestion, and energy efficiency. This research offers an innovative, data-driven approach to route planning, different from traditional methods that rely on static charts and experience. The integration of big data in maritime logistics can reduce emissions, reduce costs, and improve operational sustainability.
Optimalisasi Sistem Panel Surya dengan MPPT dan Protokol Modbus untuk Pengisian Baterai pada Sistem Pemanas Air di Kapal I Made Darma Setiawan; Henna Nurdiansari; Ariyono Setiawan
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i3.6875

Abstract

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.
Co-Authors Achmad Setya Prabowo Afilda Bidayatur Rahmah Ahmad Mubarok Ayu Gineung Pratidina Bin Abdul Hadi , Abdul Razak Daniel Dewantoro Rumani Dede Ardian Eva Y Puspaningrum Fatmawati Hadi Prayitno I Made Darma Setiawan Ian Rafi Ramadhan Ikhwanul Qiram Ittabiana Nabawiyati Julio Andrean Morales Hau’Oni Margolang, Julfansyah Maulana Pagawak Muhammad Ryamizard Ramadhani Nurdiansari, Henna Oktavanda Widi Christianto Rifdian IS Setyo Hariadi Setyo Hariyadi Sudrajat Supriadi Supriadi Totok Warsito Untung LN Wibowo Vrilo Rahmadani Tantowi Widyansih, Upik Wiwid Suryono Yuyun Suprapto