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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Jurnal SOLMA Albacore : Jurnal Penelitian Perikanan Laut Multitek Indonesia : Jurnal Ilmiah IJoASER (International Journal on Advanced Science, Education, and Religion) Infotekmesin Journal of Robotics and Control (JRC) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Ners International Journal of Marine Engineering Innovation and Research Journal of Applied Smart Electrical Network and System (JASENS) Indonesian Journal of Engineering Research Jurnal Al-Qiyam Jurnal Tana Mana Joutica : Journal of Informatic Unisla Nusantara Journal of Computers and its Applications Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Teknologi Maritim Jurnal Cakrawala Maritim Joong-Ki
Arfianto, Afif Zuhri
Politeknik Perkapalan Negeri Surabaya
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Transforming Technological Literacy through Appropriate Technology Socialization for Junior High School Students Nugroho, Agung; sutrisno, imam; Arfianto, Afif Zuhri; Subekti, Joko
International Journal on Advanced Science, Education, and Religion Vol 8 No 3 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i3.1234

Abstract

The rapid progress of information and communication technology in the era of the Fourth Industrial Revolution demands that younger generations possess strong technological literacy to adapt effectively to ongoing digital transformation. This study aims to enhance students’ technological literacy at SMPN 1 Karangrejo through socialization and practical activities using appropriate technology (AT). The research adopts a participatory descriptive method involving 40 junior high school students. The activities consist of four stages: preliminary observation, interactive socialization, hands-on construction of appropriate technology tools, and evaluation. Quantitative results show an average technological literacy increase of 35.2% with a normalized gain score of 0.71, indicating high effectiveness. Qualitative findings reveal enhanced student motivation, creativity, collaboration, and environmental awareness. The study demonstrates that project-based AT learning effectively transforms students’ technological understanding and attitudes, making it replicable in other schools with local adjustments.
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95 Arfianto, Afif Zuhri; Rahmat, Mohammad Basuki; Dhiyavia, Fuad; Santoso, Tri Budi; Gunantara, Nyoman; Supriyanto, Eko; Ardhana, Valian Yoga Pudya
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.492

Abstract

Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
Sistem Diagnosis Kesehatan Manusia dan Monitoring Tanda Tanda Vital Manusia menggunakan metode Natural Language Processing berbasis Website Mujtaba Fa'akuli Zazila; Agus Khumaidi; Am Maisarah Disrinama; Mohammad Abu Jami’in; Adianto Adianto; Afif Zuhri Arfianto
Jurnal Ners Vol. 9 No. 1 (2025): JANUARI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i1.31213

Abstract

Rumah sakit merupakan fasilitas penting dalam masyarakat untuk memberikan pelayanan kesehatan yang efisien. Pada era modern ini, penting untuk memiliki rumah sakit yang efisien dalam pelayanan. Dalam penelitian ini, peneliti telah merancang sistem monitoring dan diagnosis kesehatan manusia berbasis website untuk mempercepat proses antrian di rumah sakit. Kesehatan seseorang bisa diidentifikasi dari beberapa tanda vital yang dimilikinya. Penggunaan Natural Language Processing (NLP) digunakan untuk klasifikasi penyakit dan pengambilan keputusan berdasarkan screening digital yang dilakukan oleh manusia dengan dukungan tanda-tanda vital hingga ke tahap validasi oleh expert judgement. Penelitian ini telah diuji menggunakan prototipe pada pergelangan tangan manusia di Poliklinik Politeknik Perkapalan Negeri Surabaya dengan pendampingan expert judgement. Terdapat 40 jenis gejala penyakit yang dimuat dalam website untuk 10 penyakit yang umum dalam diagnosis dalam kesehatan manusia. Hasil penelitian ini mendapatkan akurasi sebesar 91,6%. Dari inovasi tersebut maka peneliti mengharapkan bahwa prototipe ini dapat bermanfaat bagi Masyarakat, meningkatkan pelayanan rumah sakit, dan sebagai bentuk implementasi metode Natural Language Processing (NLP).
Prototype of Bridge Navigational Watch Alarm System Equipped Obstacle Warning System Based on Image Processing and Real-Time Tracking Iskandar; Dewa Pamungkas; Imam Sutrisno; Afif Zuhri Arfianto; Ari Wibawa Budi Santosa; Iie Suwondo
International Journal of Marine Engineering Innovation and Research Vol. 7 No. 1 (2022)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v7i1.5637

Abstract

Ships are sea transportation that is often used in Indonesia. However, who would have thought that the transportation would become a case because of the frequent occurrence of accidents. This has been proven from data from the KNKT (National Transportation Safety Committee) which noted that from 2012 to 2017 there had been an increase in accidents in the waters. In fact, according to the National Search and Rescue Agency (Basarnas) in 2020 there have been 878 incidents with victims reaching 4658 people. In this final project, the author makes a prototype of BNWAS (Bridge Navigational Watch Alarm System) equipped with obstacle warning using image processing with the otsu method strengthened by thresholding-based segmentation with inverse technique (TsTN), distance detection using the triangle similarity method, real-time tracking with GPS (Global Positioning System) and the entire system can be observed on the Android application. The Final Project performs several analyzes including performance analysis by calculating the accuracy of the BNWAS alarm system, image detection accuracy, distance detection accuracy, GPS accuracy, overall system testing accuracy and packet loss. The accuracy of each system is very good because the error is below 2%, while for overall system testing has a very good performance with a delay of 179.8 ms and 0% packet loss.
Co-Authors A Aminudin A S Setiyoko Abdul Latif Abdul Latif Achda Atma Azizah K Adhitya, Ryan Yudha Adi Susanto Adianto Adianto Adianto Adianto Aditya Maharani Agus Khumaidi Agus Khumaidi Agus Widodo, Hendro Ahmada, Ezra Adillafasyah Aldian Dwi Pamungkas Am Maisarah Disrinama Ana Surya Ningrum Anda Iviana J Andi Gofer Alvian Andrei Widjanarko Andri Atmoko, Rachmad Anggi Kirana, Lailicia Ani Dwi Ratnasari Ar Rahmah, Nur Zafira Arya Ari Wibawa Budi Santosa Ari Wibawa Budi Santosa Artanti, M. D. As'ari, Nur Hasyim As'ari Asmara, I Putu Sindhu Asri, Purwidi Bagas Aji Saputra Bambang Teguh Setiawan Basuki Rahmat Binti Mualifatul Rosydah Burjulius, Renol C R Handoko C. I. Sutrisno Chikita Anisa Poerestika D A Utari Deni Oktavina Radiant Denny Dermawan Dewa Pamungkas Dewa Pamungkas Dhiyavia, Fuad Dian Asa Utari Didik Sukoco Dika Rahayu W Dimas Pristovani Riananda Dimas Pritovani Riananda Dody Hidayat Dwi Sasmita Aji Pambudi Edy Prasetyo Hidayat Edy Prasetyo Hidayat, Edy Prasetyo Edy Setiawan Eko Poetro, Joessianto Eko Supriyanto Elsayed T.Helmy Elsayed T.Helmy Erna Erna, Erna Farhad Waseel Farizi Rachman H A Widodo Hariyanto Soeroso Hasin, Muhammad Khoirul Hendra Agus Widodo Hendro Agus Widodo Hendro Agus Widodo Hery Sutrawan Nurdin, Hery Sutrawan Hozairi I Nyoman Gunantara Ii Munadhif Iie Suwondo Iie Suwondo Ika Erawati Imam Sutrisno Imam Sutrisno Isa Rachman Iskandar Iskandar Iskandar Joessianto Eko Poetro Kunal Kunal Kunal Kunal Kunal, Kunal Laili Ayu Sa’diah Lailicia Anggi Kirana Lanang Ilham Kelana Lena, Sonty Lilik Subiyanto Lisa Agustin M B Rahmat Mat Syai'in Mochamad Dhani Inwanul Farikh Mohammad Abu Jamii’in Mohammad Abu Jami’in Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhamad Nasir MUHAMMAD NIAL ALANUS SHOLAH Muhammah, Anisatul Mujtaba Fa'akuli Zazila Munandar, Erik Nancy Nurinasari Nguyen Phong, Thanh Nugroho, Agung Nur Hudha Wijaya Padang Tunggal, Tatiya Prayoga, Yusma'el Khammi Prisma Megantoro Priyangga, Bayu Putra, Zindhu Maulana Ahmad Rachmad Andri Atmoko Rachmad Andri Atmoko Radianto, Denny Oktavina Ramadhan, Novalliansyah Ramadhan Rehardendi, Dimas Afif Renanda Nia Rachmadita Riananda, Dimas Pristovani Rinanto, Noorman Rini Indarti Rini Indarti Rizal Indrawan Robbi Rahim Ryan Yudha Adhitya Sa'diyah, Aminatus Santosa, A. F. Saputra, Bagas Aji Setiyono, Dwi Agus Sheilla Nurlailly Insani Subagio So’im Subagio Soim Subekti, Joko Sudiyono Sudiyono Sugeng Santoso Surya Ningrum, Ana Suwandi, Donny Aryo Seno Syamsiar, Syamsiar T.Helmy, Elsayed Tarikh Azis Ramadani Tatiya Padang Tunggal Thanh Nguyen Phong Tri Budi Santoso Trio Andika Putra Valian Yoga Pudya Ardhana Waseel, Farhad Widjanarko, Andrei Yuda Irawan Yuniati, R.A. Norromadani Zindhu Maulana Ahmad Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra