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All Journal Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR) Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR)
Agusli, Rachmat
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Internet Of Things Based Home Electrical Control Device Using Google Assistant Agusli, Rachmat; Tullah, Rahmat; Akbar Jurfri, Ali
JURNAL SISFOTEK GLOBAL Vol 11, No 2 (2021): JURNAL SISFOTEK GLOBAL
Publisher : STMIK Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v11i2.411

Abstract

The increasing use of the internet has resulted in innovations in control systems. Internet of Things or IoT is an innovation where several electronic devices can be controlled remotely by utilizing the internet to obtain a more efficient and time-saving control system. This research uses IoT to control several electronic devices that are usually used in homes, such as lights, fans, and many more. The system built based on the Internet of Things uses Google Assistant or voice by utilizing the NodeMCU device as a control system. With the construction of this application, it is hoped that it can make it easier for people to turn on and turn off lights remotely. Users are only asked to press the voice commad or button on the Android application that was built to carry out the command to turn on and turn off the lights by using an internet connection. Based on the test results, the system can work properly to turn the lights on and off in a long distance.
Analysis and Development of a Decision Support System for Selection of Prospective KIP Scholarship Recipients Swanda, Yoga; Hartanto, Oki; Agusli, Rachmat
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10940

Abstract

Global Institute of Technology and Business Campus (Global Institute) is one of the campuses that organizes the KIP (Kartu Indonesia Pintar) scholarship program. This program aims to increase access to education for children from disadvantaged families and provide them with financial support. The research methods used are needs analysis, system design, and prototype implementation. This research collects data from various sources, including personal data of prospective scholarship recipients, academic data, family income data, and other relevant factors. The data collected is then analyzed using appropriate decision making methods, such as the Analytical Hierarchy Process (AHP) and TOPSIS methods. A Decision Support System is an interactive platform that helps make decisions efficiently and effectively in the process by presenting alternatives resulting from data processing, information, and the design of interactive computer-based models or systems. This platform provides support to decision makers in utilizing data and models to overcome unstructured problems.
Penerapan Metode Analytical Hierarchy Process dan Technique for Order by Similarity to Ideal Solution dalam Sistem Pendukung Keputusan Penentuan Dosen Terbaik Fakultas Hamonangan, Apriyanto; Tullah, Rahmat; Agusli, Rachmat; Ryando, M. Bucci
Academic Journal of Computer Science Research Vol 6, No 1 (2024): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v6i1.10082

Abstract

Perguruan Tinggi memiliki tanggung jawab penting dalam menjalankan tridharma perguruan tinggi, yaitu pendidikan, penelitian, dan Pengabdian kepada Masyarakat (PKM). Dalam konteks ini, dosen menjadi elemen kunci dalam menjalankan misi tersebut, sebagaimana yang ditetapkan dalam Undang-Undang Nomor 14 Tahun 2005. Pentingnya pengambilan keputusan dalam merekrut dosen terbaik sangat signifikan untuk mendukung proses belajar mengajar dan menghasilkan mahasiswa yang kompeten di bidangnya. Seringnya tidak ada objektif dalam memiilih dosen terbaik menjadi permasalahan yang perlu diatasi pada Fakultas Teknologi Informasi dan Komunikasi Global Institute. Untuk mengatasi masalah tersebut, perlu diterapkan sistem pendukung keputusan dengan menggunakan metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Hasil yang didapat dari penelitian ini dengan beberapa sample data yaitu dosen dengan nilai prefensi sebesar 0.60317 dan terendah 0.36203.
Co-Authors Akbar Jurfri, Ali Dzulhaq, Muhammad Iqbal Gatot Prasetyo, Gatot Gustomi, Leo Fajar Halim, Indra Hamonangan, Apriyanto Hanafri, Muhammad Iqbal Hartanto, Oki Irawan, Fery Candra Karisma, Naufal Maemunah Maemunah Maulana, Fadzal Muhammad Rivai Nopriyadi, Nopriyadi Putri, Keni Utami Ryando, M. Bucci Sakuroh, Lilis Sari, Hernita Setiyanto, Rudi Sutarman Sutarman Swanda, Yoga Tullah, Rahmat