Article Per Year (5 Year)
p-Index From 2021 - 2026
4.49
P-Index
This Author published in this journals
All Journal Jurnal Simetris ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Martabe : Jurnal Pengabdian Kepada Masyarakat IJISTECH (International Journal Of Information System & Technology) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Minda Baharu Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Yumary: Jurnal Pengabdian kepada Masyarakat IJISTECH Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Quancom: Jurnal Quantum Komputer The Indonesian Journal of Computer Science
Caniago, Deosa Putra
Institut Teknolog Batam
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
DESAIN PENGISIAN TANGKI PENYIMPANAN AIR OTOMATIS MENGGUNAKAN SOLENOID VALVE BERBASIS ARDUINO DAN SENSOR AIR maranti; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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

Abstract

The distribution of waterwhichis limited to certain hours, repairs andmaintenanceof water distribution pipescan causethe flowof water flowing fromthe company managing the water to housing to be disrupted, this results in disruption of activities that require clean water. The design of filling an automatic water storage drum using an Arduino microcontroller, a water sensor, a solenoid valve, and an LCD is expected to help in the design of automatic water drumfilling andcan help in storingwaterautomatically. In the designof anautomatic drum water storage device that has been made obtained the results of the success of the tool is 92%. With a success value of 92% it is expected that the design of this tool can help overcome the problem of the availability of clean water.
Rancang Bangun Robot Mobile Pengawasan Berbasis IoT(Internet Of Things) Menggunakan Kamera ESP-32 Andrian Syah; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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

Abstract

Teknologi Robot kini tidak hanya membantu manusia dalam melakukan segala aktifitas, namun teknologi yang ada sekarang membantu manusia untuk dapat memudahkan di dalam melakukan pengawasan dalam berbagai lingkungan, dari banyak nya kasus kejahatan dan beberapa kasus tindak kriminal yang ada di Tanjungpinang penelitian ini dilakukan di perumahan, untuk membantu keamanan yang sebelumnya konvensional menjadi lebih flexible, dengan metode pada penelitian ini adalah Experiment yang digunakan adalah Robot Kontrol Mobile berbasis IoT(Internet Of Things), robot ini menggunakan Mikrokontroller ESP32Cam dengan Output yang digunakan menggunakan Teknologi WebSocket sehingga pengguna dapat menggunakan secara efisien dan realtime, robot ini dilengkapi juga dengan Pant Tilt Servo yang digunakan untuk menggerakan kamera Sekaligus Mikrokontroller. Pengujian dan pengambilan sample data yang digunakan adalah dengan menguji kekuatan sinyal, jarak tempuh, dan sistem kontrol. Hasil yang diperoleh dalam beberapa pengujian alat adalah pada jarak tempuh 16 Meter dengan Kekuatan Sinyal -70 dbm tanpa adanya halangan, dengan hasil kesimpulan bahwa robot dapat di kendalikan secara nirkabel dan dapat dikontrol menggunakan WebSocket.
Application of smart indoor hydroponic technology to support food security Yopy Mardiansyah; Nurul Ilmi; Deosa Putra Caniago; Muhamad Abrar Masril; Reant Egie Fahruddini; Hanif Sumardi
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 8, No 4 (2023): November 2023
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v8i4.11275

Abstract

Fish provides sufficient animal protein in the island region, particularly Nongsa in Batam City. However, the demand for minerals and vitamins from vegetables is not adequately met. The inefficient use of agricultural land is a major factor in the high vegetable prices in Batam City, reducing community interest in vegetable consumption. The activity aims to address this by introducing a smart indoor hydroponic system to meet vegetable needs. Targeting economically unproductive households, especially in Dasawisma Groups, the activity involves preparation, execution with socialization on the importance of consuming green vegetables and hydroponic tool training, and an evaluation of achievements. The applied technology is smart indoor hydroponic using the Internet of Things (IoT) for nutrient control. All stages of the activity have been successful, improving the group's understanding of green vegetables. Participants can independently operate the hydroponic tool with an automatic nutrient control system and cultivate various vegetables like water spinach and bok choy.
Implementation of Deep Learning Using YOLOv7 and Telegram Notifications for Preventing Illegal Fishing in the Waters of Batam Muhammad Abrar; Deosa Putra Caniago
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.v12i5.3472

Abstract

Batam Island is one of Indonesia's outermost islands that directly borders neighboring countries. The implementation of YOLOv7 to detect ships in the waters of Batam is capable of identifying ship objects, with test results after 100 training epochs producing a precision value of 1.00 and a confidence value of 0.882, indicating a high level of confidence in the detection results of the YOLOv7 model. The F1 score of 0.99 at a confidence level of 0.729 shows that this model achieves a high level of accuracy in object detection. Based on the evaluation results using a confusion matrix, it indicates high accuracy for each class in the YOLOv7 model: Ferry 93%, Indonesian Fishing Boat 85%, Malaysian Fishing Boat 89%, Thai Fishing Boat 91%, Vietnamese Fishing Boat 82%, Speedboat 94%, and Tanker 83%. The testing results of the website application integrated with YOLOv7 and Telegram bot produce a website that can detect objects and send notifications, thus expected to prevent illegal fishing.
Rancang Bangun Robot Autonomus Pembersih Kolam Ikan Hias Adi, Mhd Adi Setiawan Aritonang; Kevin Antony; Luki Hernando; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 1 (2024): Juni 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i1.328

Abstract

The importance of maintaining the cleanliness of ornamental fishponds in the context of urban life has been on the rise, especially as people's busy schedules often lead them to overlook the routine maintenance of their fishponds. One viable solution is the adoption of autonomous robot technology as a means of cleaning ornamental fishponds. This research aims to conduct a comprehensive evaluation of the design and implementation of an autonomous robot as a pond cleaner. The research method employed is quantitative, measuring outcomes and efficiency in numerical terms, with experimentation serving as the primary approach for data collection. Data collected is measured using tools such as a stopwatch, encompassing the time taken by the robot to complete its tasks, the time required to activate all components (approximately 10 seconds), and the time needed to clean the pond (around 4-5 minutes). The findings of this study enable us to assess the efficiency and effectiveness of autonomous pond cleaning robots in maintaining the cleanliness of fishponds.
Smart Indoor Hydroponic Garden Using Internet of Things Caniago, Deosa Putra; Masril, M Abrar
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 14, No 2 (2023): JURNAL SIMETRIS VOLUME 14 NO 2 TAHUN 2023
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v14i2.9756

Abstract

Perkembangan teknologi telah sampai ketahap jangkauan yang tak terbatas, teknologi berbasiskan Internet of Things (IoT) semakin ramai digunakan pada perangkat cerdas saat ini. Internet of Things (IoT) merupakan teknologi yang mampu mencipatakan komunikasi antar perangkat menggunakan media jaringan internet, sehingga jangkauan jarak bukan menjadi masalah. Termasuk dalam pengendalian taman hidroponik dalam ruangan, hidroponik merupakan salah satu metode budidaya menanam dengan memanfaatkan media air, sehingga mempermudah media tanam didalam ruangan yang tidak memerlukan media tanah. Namun ada beberapa faktor dalam budidaya tanaman hidroponik yang berpengaruh pada kualitas sayuran, seperti kualitas air, suhu dan sinar matahari, dengan menggunakan water quality sensor dan RTC lamp pada sistem Smart Indoor Hydroponic Garden Using Internet Of Things dapat membantu memberikan pengawasan terhadap tanaman sehingga kualitas hasil sayuran dapat meningkat.
Sistem Monitoring Kecepatan Angin Dan Suhu Udara Berbasis Notifikasi Telegram Muhammad Abrar; Deosa Putra Caniago; Rifa’atul Mahmudah Burhan; Refli Noviardi
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4305

Abstract

The unpredictable weather in Batam City impacts the use of sea transportation, which is frequently used by residents for inter-island crossings. There is a need for a real-time monitoring system for wind speed and air temperature, along with notifications when wind speeds become potentially dangerous for sea transportation users. In this research, an Internet of Things (IoT)-based monitoring system for wind speed and air temperature was implemented using the Thingspeak platform for real-time monitoring. The test results demonstrated that the monitoring system could successfully store wind speed and air temperature data in the Thingspeak database. Additionally, Thingspeak was able to display graphs of wind speed and air temperature. The notification tests via Telegram showed that when the wind speed reached 1.5-2.9 m/s, an alert warning was sent, and when the wind speed exceeded 3 m/s, a danger warning was issued.
Implementasi Artificial Intelligence Dalam Aplikasi Chatbot Untuk Rekomendasi Wisata Pantai Di Batam Dengan Metode Feedforwad Neural Network Arvy Kurnia Ramadhan; Muhammad Abrar Masril; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.401

Abstract

Batam, as the third largest city in Sumatra, has many attractive beaches such as Melur Beach that attract both local and foreign tourists. However, the abundance of choices and the lack of complete information often make novice travelers confused in choosing the right destination. The variety of attractions and activities at tourist sites also adds to the hesitation. As a solution to this problem, an automated chatbot was developed that is able to provide services as if visitors were interacting directly with staff or officers without any time constraints. This research aims to design and implement a chatbot system capable of providing beach tourism recommendations in Batam using the Feedforward Neural Network (FFNN) method. The dataset used includes descriptive information about beach tourist attractions in Batam as well as reviews from visitors. The model achieved the best accuracy with 80% dataset division for training and 20% for testing, with 600 epochs, batch size 10, and learning rate 0.002, which resulted in 97.1% accuracy. Evaluation of this model shows a macro precision value of 79.71%, macro recall of 80%, and macro F1 score of 79.76%. Overall, the model showed high effectiveness in classification tasks, with high accuracy and a good balance between detecting correct instances and minimizing prediction errors. This design shows that a chatbot with feedforward neural network model can be used effectively which is able to provide beach tourism recommendations in Batam with high accuracy and appropriate response to the user.
Perancangan Smart Library Assistant Menggunakan Voice Recognition Module Jeremy Andika; Deosa Putra Caniago; M. Abrar Masril
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.410

Abstract

This study proposes the design of a Smart Library Assistant using a Voice Recognition Module to facilitate book search in libraries. Despite the availability of digital books, many people still prefer physical books, and libraries remain a vital source of knowledge and information. However, finding books in a library can be challenging, especially when dealing with large collections. To address this issue, the study explores the use of voice recognition technology to create a smart library assistant that can help users locate books efficiently. The system will utilize the DFRobot Gravity offline voice recognition module to identify book genres and execute custom commands for finding books, eliminating the need for an internet connection. The research indicates that the voice recognition module, equipped with a microphone sensitive to -28db and capable of handling a maximum sound pressure level of 120db, enables the smart library system to accurately hear command words. The use of offline voice recognition modules, such as the DFRobot Gravity, can effectively simplify book searching in libraries. This technology allows the Smart Library Assistant to accurately identify genres and process voice commands without needing an internet connection. With a sensitive microphone capable of handling high sound pressure levels, the system provides an efficient solution for navigating large book collections.
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
Co-Authors Alhamidi, Alhamidi Andrian Syah Arvy Kurnia Ramadhan Aryo Pratama, Bimo Assaidatul Husna candra, joni eka Candra, Samuel Damanik, Evi Maryati Faizila, Reva Unieq Friadi, John Handayani, Vitri Aprilla Hanif Sumardi Harahap, Widiya Lestari Hendri Kremer Hernando, Luki Hilmy, Ananda Husna, Assaidatul Jabnabillah, Faradibah Jeremy Andika Kevin Antony Kremer, Hendri Kurnia, Okki M Abrar Masril M. Abrar Masril maranti Mardiansyah, Yopy Mardiansyah, Yopy Maria Yosefina Meinadia Sekar Kinanti Aswirawan Masril, M. Abrar Masril, Muhammad Abrar Mhd Adi Setiawan Aritonang Muhammad Abrar Muhammad Abrar Muhammad Abrar Masril Muhammad Abrar Masril Muhammad Adi Sukma Nalendra Muhammad Jufri Muhammad Jufri Muhammad Jufri munir, Zainul Munir Nabilah Nabilah Nadia Widari Nasution Nalendra, Muhammad Adi Sukma Noviardi, Refli Nurcholiq, Rini Nurul Ilmi Reant Egie Fahruddini Ria Sapitri Rifa’atul Mahmudah Burhan Rini Nurcholiq Sapitri, Ria Septiana, Reski Simatupang, Devid Trinaldo Sumijan Sunarsono, Hery Syah, Andrian Syamsiar, Syamsiar Widiya Lestari Harahap