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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

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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

 1 
The Internet of Things application on Student Assignee Smart Box using ESP32-Cam Deosa Putra Caniago
Jurnal CoSciTech (Computer Science and Information Technology) Vol 3 No 3 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i3.4347

Abstract

the development of Internet of Things technology, everything can be controlled over an unlimited distance using the internet network. Being a student is inseparable from project assignments that have deadlines for submission, problems that arise are sometimes the lecturers concerned are challenging to find, causing students to be delayed in submitting studies which affect student performance in the eyes of lecturers. In this case, an assignment recipient smart box system is created using the Wifi ESP32 Cam module and PIR Sensor which will monitor the collection of project assignments from students based on the Internet of Things, the system will send information in the form of photos to lecturers via Telegram Bot so that it can improve student performance in the eyes lecturer.
Revolusi Pengelolaan Alcoholism: Sistem Monitoring Berbasis Internet of Things untuk Kadar Alkohol pada Minuman Berkaleng Deosa Putra Caniago; Luki Hernando
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5085

Abstract

Dalam beberapa tahun terakhir, minuman kaleng telah menjadi populer di kalangan masyarakat dengan berbagai rasa dan bentuk yang menarik. Namun, perlu dicatat bahwa minuman kaleng tidak terbatas pada minuman non-alkohol tetapi juga mencakup minuman beralkohol. Sayangnya, banyak konsumen yang tidak menyadari keberadaan alkohol dalam minuman kaleng secara umum. Konsumsi minuman beralkohol secara berlebihan atau tidak terkendali dapat menyebabkan berbagai masalah kesehatan dan sosial. Penelitian ini bertujuan untuk membantu masyarakat umum dalam menentukan kandungan alkohol dalam minuman kaleng dengan menggunakan sistem deteksi kandungan alkohol yang dirancang menggunakan sensor TGS822. Kandungan alkohol dalam minuman kaleng akan dipantau dan dilaporkan melalui Internet of Things (IoT). Berdasarkan pengujian kandungan alkohol Golongan A memiliki kadar alkohol 1-5%, Golongan B memiliki kadar alkohol 5-20%, dan Golongan C memiliki kadar alkohol 20-55%, sensor ini mampu mendeteksi keberadaan alkohol melalui sensor TGS822 dan melaporkannya melalui jaringan IoT menggunakan aplikasi bot telegram.
Penerapan data mining dalam analisa profil mahasiswa menggunakan metode support vector machines (SVM) Luki Hernando; Vitri Aprilla Handayani; Deosa Putra Caniago; Nadia Widari Nasution
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5107

Abstract

decision making. The Support Vector Machine algorithm is a method in supervised learning which is usually used for classifications such as Support Vector Classification and support Vector Regression regression. In this study the SVM algorithm was used in the classification of student data profiles at the Batam Institute of Technology, which can be used as material for consideration in determining and considering decisions to make an effective destination strategy promotion.
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.
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