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Sistem Pencegahan Illegal Fishing di Laut Batam menggunakan YOLOv7 berbasis Notifikasi Telegram MASRIL, MUHAMMAD ABRAR; CANIAGO, DEOSA PUTRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 1: Published January 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i1.175

Abstract

ABSTRAKPulau Batam menjadi salah satu pulau indonesia terluar yang berbatasan langsung dengan negara tetangga. Penerapan YOLOv7 untuk mendeteksi kapal di laut Batam mampu mendeteksi objek kapal dengan hasil pengujian setelah melakukan training 100 epoch menghasilkan nilai precision sebesar 1.00 dan nilai confidence 0.882 menunjukkan tingkat kepercayaan hasil deteksi yang tinggi pada model YOLOv7. Hasil skor F1 sebesar 0.99 pada confidence 0.729 menunjukkan hasil bahwa model ini menghasilkan tingkat akurasi yang tinggi dalam menemukan objek. Berdasarkan hasil evaluasi menggunakan confusion matrix menunjukkan hasil akurasi yang tinggi dari setiap class pada model YOLOv7 yaitu Ferry 93%, KapalNelayanIndo 85%, KapalNelayanMalaysia 89%, KapalNelayanThailand 91%, KapalNelayanVietnam 82%, Speedboat 94%, dan Tanker 83%. Hasil pengujian aplikasi website yang terintegrasi dengan YOLOv7 dan bot Telegram menghasilkan website yang mampu mendeteksi objek dan mengirimkan notifikasi sehingga diharapkan mampu mencegah illegal fishing.Kata kunci: Deteksi, Deep Learning, Kapal, Telegram, YOLOv7 ABSTRACTBatam Island is one of Indonesia's outermost islands bordering neighboring countries. The application of YOLOv7 to detect ships in the Batam Sea was able to detect ship objects with test results after carrying out 100 epoch training resulting in a precision value of 1.00 and a confidence value of 0.882 indicating a high level of confidence in the detection results in the YOLOv7 model. The F1 score of 0.99 at confidence 0.729 shows that this model produces high accuracy in finding objects. Based on the evaluation results using the confusion matrix, it shows high accuracy results for each class in the YOLOv7 model, namely Ferry 93%, Indonesian Fisherman's Ship 85%, Malaysian Fisherman's Ship 89%, Thai Fisherman's Ship 91%, Vietnamese Fisherman's Ship 82%, Speedboat 94%, and Tanker 83%. The test results of the website application integrated with YOLOv7 and Telegram bot resulted in a website that is able to detect objects and send notifications so that it is expected to be able to prevent illegal fishing.Keywords: Detection, Deep Learning, Ship, Telegram, YOLOv7
Sistem Pengawasan Berbasis IoT pada Robot Vision Untuk Peningkatan Keamanan Perimeter di Industri Batam Caniago, Deosa Putra; Muhammad Jufri; M Abrar Masril
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4476

Abstract

Batam City faces significant security challenges alongside rapid industrial growth, making the need for effective surveillance systems in industrial areas urgent. This research developed a surveillance robot utilizing Internet of Things and computer vision technologies to enhance perimeter security in industrial zones. The robot is equipped with Arduino as the controller, a Pixy2Cam camera for object detection, and a WiFi module for remote connectivity. Testing results indicate that the robot can detect individuals wearing safety gear in 0.2 seconds and achieves a detection success rate of 100% under ideal conditions. The developed controller application using MIT App Inventor also displays real-time images, allowing for rapid responses to potential threats. This research demonstrates that the developed surveillance robot effectively enhances monitoring in the Batam industrial area.
PENERAPAN SISTEM DETEKSI DINI CUACA EKSTREM DAN GELOMBANG ROB BERBASIS IoT UNTUK PENGURANGAN RISIKO BENCANA DI PULAU TERLUAR KOTA BATAM Caniago, Deosa Putra; Meinadia, Maria Yosefina; Mardiansyah, Yopy; Damanik, Evi Maryati; Hilmy, Ananda; Syah, Andrian
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.6886

Abstract

Pulau Belakang Padang sering kali menghadapi cuaca ekstrem seperti gelombang pasang dan angin kencang, yang dapat membahayakan keselamatan nelayan. Minimnya infrastruktur komunikasi serta kurangnya akses terhadap informasi cuaca secara real-time meningkatkan risiko kecelakaan laut. Oleh karena itu, Smart Weather Detection System berbasis Internet of Things (IoT) dirancang untuk memberikan peringatan dini mengenai kondisi cuaca dan gelombang laut secara real-time. Sistem ini menggunakan sensor cuaca dan gelombang yang datanya langsung diakses melalui aplikasi mobile yang dikembangkan oleh dosen dan mahasiswa Institut Teknologi Batam (ITEBA). Kegiatan pengabdian ini dilaksanakan dalam lima tahap: sosialisasi dan pelatihan mitigasi menghadapi ancaman bahaya cuaca ekstrem, pelatihan penggunaan teknologi, penerapan sistem, pendampingan, serta evaluasi dan keberlanjutan. Indikator dari keberhasilan program ini adalah meningkatnya pengetahuan dan keterampilan mitra sasaran tentang ancaman bahaya cuaca ekstrem serta upaya mitigas yang diukur melalui kuesioner pre-test dan post-test. Hasil evaluasi menunjukkan peningkatan pengetahuan mitra sasaran sebanyak 95% tentang ancaman bahaya cuaca esktrem dan bajir rob sebesar 95%, serta peningkatan pengetahuan dan kesedaran upaya mitigasi bencana 100%.
SOSIALISASI DAN BIMBINGAN TEKNIS PENGGUNAAN SMART LIFE JACKET DALAM MENINGKATKAN KESELAMATAN PELAYARAN PERSATUAN PENGEMUDI MOTOR SANGKUT (PPMS) BELAKANG PADANG Masril, Muhammad Abrar; Caniago, Deosa Putra; Jufri, Muhammad; Munir, Zainul; Aritonang, Mhd Adi Setiawan
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.6884

Abstract

Penggunaan transporatsi laut khususnya kapal pompong sangat dibutuhkan oleh masyarakat Batam sebagai transportasi penyebrangan antar pulau. Sering terjadinya kecelakaan kapal pompong akibat cuaca yang ekstrim dan kelalaian pengemudi mengakibatkan sering adanya korban jiwa. Rendahnya tingkat kesadaran pengemudi kapal dan penumpang tentang pentingnya menggunakan peralatan keselamatan berlayar yaitu life jacket dapat membahayakan keselamatan saat berlayar dilaut. Tujuan dari kegiatan pengabdian ini adalah untuk sosialisasi pentingnya menggunakan inovasi teknologi keselamatan pelayaran yaitu smart life jacket untuk keselamatan pelayaran Persatuan Pengemudi Motor Sangkut (PPMS). Smart life jacket menggunakan teknologi Global Positioning System (GPS). GPS bekerja dengan cara mengirimkan titik koodinat lokasi secara real-time posisi dari objek. Smart life jacket ini bekerja ketika user mengirimkan SMS melalui smart phone dengan cara mengetikkan “Lokasi”, maka secara otomamtis GPS yang ada pada smart life jacket akan membalas SMS tersebut berupa titik koordinat yang bisa dibuka melalui aplikasi google map sehingga posisi korban kecelakan kapal dilaut langsung tau posisi korban. Kegiatan pengabdian ini dilakukan dalam lima tahap yaitu sosialisasi, pelatihan, penerapan teknologi, pendampingan dan evaluasi, dan keberlanjutan program. Hasil kegiatan pengabdian ini berdasarkan kuesioner menunjukkan bahwa para anggota PPMS menjawab bahwa pentingnya menggunakan teknologi smart life jacket untuk meningkatkan keselamatan pelayaran adalah 100%. Selanjutnya hasil kuesiner tentang mudahnya menggunakan smart life jacket dengan adalah 90%.
Perancangan Desain Pesawat Aeromodelling Model Trainer untuk Pembelajaran Pengendalian Pesawat Berbasis Sistem Komputer: Indonesia Caniago, Deosa Putra
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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

Abstract

This study aims to design and develop a computer-based trainer model aeroplane for flight control education. The selection of appropriate materials is a primary focus, with polyfoam chosen as the main material for the aircraft body due to its lightweight nature, excellent impact absorption, and resistance to deformation. The research also integrates sensor technology and an automatic control system, enabling real-time flight monitoring. The methodology includes mechanical design, electronic schematics, control system design, and flight performance testing. The results indicate that the aircraft achieves a stability level of 95% and operates effectively under various flight scenarios. This research is expected to make a significant contribution to the development of aviation education technology and provide a more interactive and safe training platform for novice students in the field of aeronautics.
Transformasi Pertanian Dalam Ruangan: Hidroponik Cerdas Berbasis IoT : Indoor Farming Transformation: IoT-Based Smart Hydroponics Caniago, Deosa Putra; Masril, M Abrar
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3408

Abstract

The growth of technology has had a significant impact on the agricultural sector, including the method of hydroponic cultivation. According to the Basic Health Research (Riskesdas) conducted by the Ministry of Health, 90% of the Indonesian population lacks sufficient vegetable consumption. The World Health Organization (WHO) recommends a daily vegetable intake of around 400 grams for adults, which can be fulfilled through indoor hydroponic gardens. However, hydroponic cultivation requires intensive monitoring and control, posing a challenge for busy urban communities. Therefore, one solution to address the challenges in hydroponic farming is leveraging Internet of Things (IoT) technology and utilizing Real-time Clock (RTC) to create a Smart Indoor Hydroponic Garden system that enables real-time control of water pH and room temperature using temperature sensors and water quality sensors. This system can be utilized by urban individuals who lack access to open land, allowing them to meet their daily vegetable needs directly from home.
Optimizing Hospitality Choices: A Forward Chaining and Certainty Factor-Based Expert System for Recommending 4-Star Hotels in Batam City Caniago, Deosa Putra; Simatupang, Devid Trinaldo; Kurnia, Okki; Septiana, Reski; Sekar, M. Y. Meinadia
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3658

Abstract

Tourism and travel is the largest industry in the world with hotels as a key factor in enjoying a holiday. As the cornerstone of tourism, the hotel industry continues to develop to meet increasingly high customer expectations. The application of high technology is the key to competition between hotels, with several hotels moving towards an innovative and efficient "smart hotel" concept. This research explores the hotel industry in Batam as a unique tourism destination and industrial center. The main focus includes analyzing the level of technology adoption in Batam hotels, identifying trends and factors driving the “smart hotel” concept, and developing expert system models to improve the tourist experience. By combining the two methods of Forward Chaining and Certainty Factors in an Expert System, it is hoped that the results of this research can provide important insights regarding the development of the hotel industry in Batam and the positive impact of technology in improving the quality of service to travelers.
Pengembangan Kontrol Robot Omnidirectional Menggunakan Sensor Gerakan Mpu 6050 Berbasis Internet Of Things (IoT) Aryo Pratama, Bimo; Deosa Putra Caniago; M. Abrar Masril; Luki Hernando; Muhammad Jufri
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 1 (2025): Juni 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i1.395

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Robotics is a field that encompasses interdisciplinary sciences, ranging from the mechanics of robot construction, electronics, and control systems to artificial intelligence. Initially, robotics was widespread in industry, often referred to as industrial robots. The Mini Trolley Robot provides a solution to issues related to flexibility in the room. The robot’s operation can be directed using motion sensors. This research aims to develop a controlled exploration system with an IoT-based mobile robot using the MPU6050 motion sensor. This aims to provide a solution to flexibility issues in complex environments without using traditional remote controls. The system uses the ESP32Wroom as the microcontroller, ESP32 Cam for video streaming, a driver module as the driver, DC motors, and a 12V to 5V converter. The ESP32 module allows good connectivity and remote control via a Wi-Fi network. The MPU6050 motion sensor can read tilt angles based on sensor data contained in the MPU6050 module. To access this sensor module, the I2C data line is used. This research employs the waterfall method, which includes stages of determining user requirements, followed by planning, modeling, construction, system delivery to users, and supporting the entire developed software. The motion sensor from the MPU6050 achieves a considerable range from 5 to 15 meters with accurate results, while reaching 19 meters results in a delay of 2 or 3 seconds.
Implementasi Teknologi Bare Conductive pada Smart Piano Aritonang, Mhd Adi Setiawan; Candra, Joni Eka; Caniago, Deosa Putra; Alhamidi, Alhamidi; Antony, Antony
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.948

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Penelitian ini bertujuan untuk mengembangkan dan menguji implementasi teknologi Bare Conductive pada smart piano. Bare Conductive adalah teknologi inovatif yang memanfaatkan tinta konduktif untuk menciptakan sirkuit listrik pada berbagai permukaan, memungkinkan pembuatan sensor sentuh yang fleksibel. Dengan mengintegrasikan teknologi ini dengan mikrokontroler, seperti Arduino, kami menciptakan smart piano yang interaktif dan ramah pengguna. Smart piano yang dihasilkan menawarkan berbagai manfaat, terutama dalam konteks pendidikan musik. Instrumen ini dapat memberikan pengalaman belajar yang lebih menarik dan efektif bagi pemula, serta membuka peluang baru dalam terapi musik dan komposisi musik digital. Selain itu, penggunaan tinta konduktif menawarkan solusi yang lebih hemat biaya dan ramah lingkungan dibandingkan dengan teknologi elektronik konvensional. Dalam penelitian ini, kami merancang dan membangun prototipe smart piano berbasis teknologi Bare Conductive dan mikrokontroler. Kami kemudian melakukan serangkaian pengujian untuk mengevaluasi kinerja dan keandalannya. Hasil pengujian menunjukkan bahwa smart piano ini memiliki respon sentuhan yang baik dan stabil dalam berbagai kondisi penggunaan. Namun, tantangan tetap ada, seperti kestabilan jangka panjang dari sirkuit tinta konduktif dan kompatibilitas dengan komponen elektronik lainnya. Penelitian ini memberikan wawasan berharga mengenai potensi dan batasan teknologi Bare Conductive dalam aplikasi musik interaktif, serta membuka jalan untuk penelitian lebih lanjut dalam pengembangan instrumen musik pintar.
Pengelolaan Antrian Kapal Pompong Berbasis Teknologi di Pelabuhan Sekupang-Belakang Padang Friadi, John; Masril, M. Abrar; Jufri, Muhammad; Caniago, Deosa Putra; Hernando, Luki; Munir, Zainul; Aritonang, Mhd Adi Setiawan; Aswirawan, M.Y Meinadia Sekarkinanti
Yumary: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 4 (2025): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v5i4.4353

Abstract

Purpose: The interactive whiteboard serves as an information hub in the queue system, displaying queue numbers in real-time and enabling user interaction. Its key features include automatic queue number management, access to additional information, and integration with technologies such as printers and QR codes. Its benefits include time efficiency, an improved customer experience, and flexibility for use across various sectors, making it an innovative solution to enhance service effectiveness. Methodology: The PKM program began with an initial analysis through site visits to the port and interviews with PPMS members. Activities included theory, practice, and queue technology simulations. Preparations involved coordination, provision of equipment, and materials. PPMS actively participated by providing facilities and attending training. Lecture, demonstration, and practice methods were applied to enhance understanding. Results: The ship queueing system at the port enhances loading and unloading efficiency. Interactive whiteboards simplify queue management with real-time features, QR codes, and technology integration. Surveys show that 90% of users find this system easy to use. Conclusions: This service proves that the application of technology in managing the queue of pompong ships at ferry ports has a significant positive impact. Limitations: The passage lacks specific data, overlooks challenges like maintenance and system failures, and has contextual gaps. It ignores scalability, usability for older users, and environmental constraints, limiting its assessment of the system’s effectiveness. Contribution: This community service demonstrates that the implementation of technology in managing the queue of pompong boats at the ferry port has proven effective in reducing waiting times, streamlining departure flows, and enhancing passenger and boat operator satisfaction.