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Optimasi Teknologi Computer Vision pada Robot Industri Sebagai Pemindah Objek Berdasarkan Warna MASRIL, MUHAMMAD ABRAR; CANIAGO, DEOSA PUTRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 1: Published January 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i1.46

Abstract

ABSTRAKComputer vision merupakan teknologi yang dapat mendeteksi objek yang ada disekitarnya pada penelitian ini membahas optimasi teknologi computer vison pada robot sebagai pemindah objek berdasarkan warna. Sistem pada robot terdiri dari pengenalan bola berwarna dan memindahkan bola berwarna sesuai dengan warna yang dideteksi. Teknologi computer vision pada pixy 2 camera dapat mendeteksi objek berwarna menggunakan metode deteksi real-time dengan hasil optimasi yang tinggi yaitu 0,2 detik ketika mendeteksi objek berwarna. Pengujian pengenalan objek berwarna dilakukan sebanyak tiga kali pada setiap objek berwarna dengan tingkat akurasi sebesar 100%. Optimasi computer vision dapat membantu robot mengenali objek berwarna.Kata kunci: Computer Vision, Deteksi Objek Berwarna, Pixy2 Camera, Real-Time ABSTRACTComputer vision is a technology that can detect objects that are around it. This study discusses the optimization of computer vision technology on robots as object transfers based on color. The system on the robot consists of recognizing colored balls and moving colored balls according to the detected color. Computer vision technology on the pixy 2 camera can detect colored objects using a real-time detection method with a high optimization result of 0.2 seconds when detecting colored objects. The color object recognition test was carried out three times on each colored object with an accuracy rate of 100%. Computer vision optimization can help robots recognize colored objects.Keywords: Computer Vision, Color Object Detection, Pixy2 Camera, Real-Time
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
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.
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

Abstract

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.
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.
Revolusi Digital : Pemanfaatan Teknologi AI Dalam Display Produk UMKM Olahan Hasil Laut Nalendra, Muhammad Adi Sukma; Caniago, Deosa Putra; Hernando, Luki; Husna, Assaidatul; Sapitri, Ria; Kremer, Hendri; Harahap, Widiya Lestari; Nurcholiq, Rini
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 4 (2023): Oktober 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i4.2804

Abstract

The application of AI technology that is currently developing is very helpful in supporting the progress of MSMEs in various fields. By utilizing AI technology, it can help MSMEs who are having problems with product design and online marketing. This PkM aims to support the development of marine processed MSMEs in the Islands. The Pkm forum will provide knowledge and skills to MSMEs members for producing attractive and effective visual content and utilizing AI technology in marketing strategies. In this community service, the methods used are socialization by delivering equipment, practising using AI technology and discussions. In this way, it is hoped that MSMEs can increase its competitiveness and market share for processed seafood products, as well as support the Batam City government program in developing the MSMEs sector. Through this service, it is hoped that marine processed MSMEs in the Riau Islands can optimize their business potential by utilizing AI technology and visual communication in marketing. This activity will provide knowledge about the quality of promotional messages and attractive visual product presentations, so that MSMEs can produce marketing content that is effective in attracting attention and influencing the target audience. By increasing knowledge and skills in digital marketing, it is hoped that MSMEs can compete globally in developing the MSMEs sector and increasing exports of processed seafood products in the Riau Islands region, especially in Batam City.Keywords: AI; UMKM; Marketing Abstrak: Penerapan teknologi AI yang berkembang saat ini sangat membantu dalam mendukung kemajuan UMKM diberbagai bidang. Dengan memanfaatkan Teknologi AI dapat membantu UMKM yang terkendala dengan desain produk dan pemasaran secara online. PkM ini bertujuan untuk mendukung pengembangan UMKM olahan laut di Kepulauan. Dalam Pkm yang diselenggarakan akan memberikan pengetahuan dan keterampilan kepada anggota UMKM dalam menghasilkan konten visual yang menarik dan efektif serta memanfaatkan teknologi AI dalam strategi pemasaran. Dalam Pengabdian masyarakat ini metode yang digunakan yaitu sosialisasi dengan penyampaian materi, praktek menggunakan teknologi AI dan diskusi. Dengan demikian, diharapkan UMKM dapat meningkatkan daya saing dan pangsa pasar produk olahan laut, serta mendukung program pemerintah Kota Batam dalam mengembangkan sektor UMKM. Melalui pengabdian ini, diharapkan UMKM olahan laut di Kepulauan Riau dapat mengoptimalkan potensi bisnis mereka dengan memanfaatkan teknologi AI dan komunikasi visual dalam pemasaran. Kegiatan ini akan memberikan pembekalan pengetahuan tentang kualitas pesan promosi dan penyajian produk visual yang menarik, sehingga UMKM dapat menghasilkan konten pemasaran yang efektif dalam menarik perhatian dan mempengaruhi target audiens. Dengan peningkatan pengetahuan dan keterampilan dalam pemasaran digital, diharapkan UMKM dapat bersaing secara global dalam mengembangkan sektor UMKM serta meningkatkan ekspor produk olahan laut di wilayah Kepulauan Riau, khususnya di Kota Batam.Kata kunci: AI; UMKM; Pemasaran
SISTEM PENYIRAMAN RUMPUT DI BUKIT VITKA EDUCITY SECARA OTOMATIS Hery Sunarsono; Deosa Putra Caniago; Nabilah Nabilah; M. Abrar Masril
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i2.379-386

Abstract

Bukit Vitka Educity terletak secara terintegrasi dengan Kampus Institut Teknologi Batam dan Politeknik Pariwisata Batam dalam komplek Tiban Ayu, dimana kawasan ini menjadi tujuan wisata masyarakat sekitar untuk melihat matahari terbenam. Pada bukit ini ditanami rumput gajah untuk menambah keindahan, dengan permasalahan bahwa tanaman ini memerlukan kelembaban tanah yang tinggi karena akarnya yang hanya berjarak beberapa centimeter dari permukaan tanah. Oleh sebab itu, untuk membantu menjaga kelembaban tanah pada bukit Vitka Educity, pengabdian kepada masyarakat ini menawarkan rancangan “Sistem Penyiraman Rumput Di Bukit Vitka Educity Secara Otomatis”.
Co-Authors Abdurrahman Ridho Agung Saputra Alhamidi, Alhamidi Ananda Hilmy Andian, Muhamad Andian Saputra Andrian Syah Antony, Antony Anugrah, Ibnu Ariana Tulus Purnomo Arvy Kurnia Ramadhan Aryo Pratama, Bimo Assaidatul Husna Azua Ramadhan candra, joni eka Damanik, Evi Maryati Faradibah Jabnabillah Febby Oktafebrian Feri Iskandar Fernandi Lucky Putra Frengki Hotsabar Parmonangan Simatupang Friadi, John Galang Mario Alpindra Handayani, Vitri Aprilla Hanif Sumardi Harahap, Widiya Lestari Hendri Kremer Hernando, Luki Hilmy, Ananda Husna, Assaidatul I Gusti Bagus Agung Dharmaya Jeremy Andika Julius Santony Kadek Jemmy Waciko Kevin Antony Kremer, Hendri Kurnia, Okki M Abrar Masril M. Abrar Masril M. Fikri Mulyana maranti Mardiansyah, Yopy Mardiansyah, Yopy Maria Yosefina Meinadia Sekar Kinanti Aswirawan Masril, M. Abrar Masril, Muhammad Abrar Mhd Adi Setiawan Aritonang Mhd Adi Setiawan Aritonang Mohd Rizki Muhammad Abrar Muhammad Abrar Muhammad Abrar Masril Muhammad Abrar Masril Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Nazwan munir, Zainul Munir Nabilah Nabilah Nadia Widari Nasution Nafis Sjamsuddin, Irfan Najirah Umar Nalendra, Muhammad Adi Sukma Natasya Nur Hadi Noviardi, Refli Nurcholiq, Rini Nurul Ilmi Pakpahan, Sindy Silvia Soarta Rafsanjani, Ali Rifqi Razan Muhammad Railis Reant Egie Fahruddini Reva Unieq Faizila Ria Sapitri Rifa’atul Mahmudah Burhan Rini Nurcholiq Samuel Candra Sapitri, Ria Septiana, Reski Simatupang, Devid Trinaldo Sriwanti Belani Sulthony, M Rachmat Sumijan Sunarsono, Hery Surgiwe Lim Susyantika, Salsabila Adine Syah, Andrian Tan, Vincent Veranny Arianty Putri Viriya Marhan Cunis Widiya Lestari Harahap Yopy Mardiansyah Yudhistira Andilie