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Peningkatan Kemampuan Manajemen Dalam Pengelolaan Elektronik Komplain Layanan Laboratorium Universitas Nurul Jadid Rahman, M. Fadhilur; Syafiih, M; Maulana Rahman, Zidan Abdallah; Mawardi, Imam; Romadhani, Ahmad; Rahman, Taufiqur
GLOBAL ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2021): Mei 2021, GLOBAL ABDIMAS
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (726.181 KB) | DOI: 10.51577/globalabdimas.v1i1.80

Abstract

Laboratorium Komputer Universitas Nurul Jadidi menjadi tanggung jawab penuh Fakultas Teknik, pemanfaatan layanan laboratorium bagi mahasiswa teknik dan diluar Fakultas Teknik yang membutuhkan praktikum komputer. Penggunaan laboratorium diatur sesuai jadwal roster kuliah yang telah ditetapkan diawal perkuliahan pada setiap semesternya, sedangkan penggunaan ekstra akan disesuaikan diluar jadwal kuliah. Permasalahan yang terjadi adalah manajemen akan sulit menentukan jadwal tepat pagi pengguna laboratorium. Solusinya perlu adanya aplikasi yang mengatur penggunaaan serta kuluhan dari mahasiswa dan dosen, aplikasi tersebut akan mengakomodir semua kebutuhan dan keluhan yang ada di laboratorium komputer Fakultas Teknik. Agar manajemen paham menggunakan aplikasi perlu adanya pelatihan tujuannya agar mudah memahami penggunaan aplikasi e-komplain. Metode yang digunakan adalah Longitudinal Method merupakan metode untuk menentukan dan mengukur data secara berulang untuk satu atau beberapa variable. Hasilnya adalah aplikasi e-komplain yang sudah siap digunakan oleh Fakultas Teknik Universitas Nurul Jadid.
Sistem Pemantauan Energi Penggunaan Listrik Pada Bangunan Pintar Dengan Sistem Iot (Internet Of Things) Rahman, M. Fadhilur; Ilyas, Tufanul; Armando, Romie
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 6, No 1 (2024): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v6i1.535

Abstract

This research aims to develop an energy monitoring system for electricity usage in smart buildings using the Internet of Things (IoT). Smart buildings represent a concept where information and communication technologies are utilized to manage energy resources, including electricity consumption efficiently. This system indirectly assists humans by ensuring precise and controlled monitoring. The methodology in this research involves the development of an integrated sensor system connected to IoT devices to monitor electricity consumption in real time. These sensors will be strategically placed at key points within the building, such as the main electrical panels and critical electronic devices, to measure and transmit energy consumption data to the IoT platform.
Automatic Transfer Switch Kontrol Menggunakan Internet Of Thing (IoT) RAHMAN, M. FADHILUR
Journal of Advanced Research in Informatics Vol 2 No 1 (2023): JARS : Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i1.3043

Abstract

This research aims to develop and implement an Automatic Transfer Switch (ATS) control system using the Internet of Things (IoT) within the Nurul Jadid University environment. ATS is an important device in an electrical distribution system that allows automation of switching between primary and backup electrical power sources in fault situations. By utilizing IoT technology, this research aims to improve the efficiency, performance and monitoring of ATS at Nurul Jadid University, The research methodology involves designing, manufacturing, and testing a prototype of an IoT-based ATS system. Smart sensors will be installed on ATS devices to monitor parameters such as voltage, current, temperature and device status. Data collected by sensors will be sent via the IoT network to a monitoring platform that can be accessed in real-time by operators and maintenance personnel. It is hoped that the results of this research will increase the availability and reliability of electricity supply at Nurul Jadid University, by enabling early detection and quick action in disturbance situations. In addition, this system will also help optimize the use of electrical resources and reduce unnecessary energy consumption. By combining IoT technology with ATS control, this research presents an innovative solution to increase the efficiency and reliability of electricity supply in university environments. The results of this research can be a guide for other institutions interested in adopting similar technology in their electricity resource management
Decision Support System Method for Selecting Formal Education Levels in a violation student based Microcontroller and IOT Sumantri; Ratri Enggar Pawening; Moh. Jasri; Imaduddin, Ilmirrizki; Bambang; Tijaniyah; Rahman, M. Fadhilur
Jurnal JEETech Vol. 7 No. 1 (2026): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v7i1.7106A

Abstract

This study develops a decision support system to determine appropriate formal education levels based on student violations using the Multi Attribute Decision Making (MADM) method with the Simple Additive Weighting (SAW) technique. The system integrates a microcontroller and Internet of Things (IoT) technology for real-time data collection and monitoring. Several criteria, including violation frequency, type, behavior, and academic performance, are evaluated and weighted to produce ranking results. The result of the SAW method calculation shows that the third alternative (Senior High School or SLTA) obtained a score of 17.15. This value is the highest compared to the other alternatives. This means that the SLTA level becomes the primary category where smoking violations by students are strictly prohibited. This is because students at the SLTA level tend to exhibit more rebellious behavior and higher ego, causing rules to be sometimes ignored. The microcontroller functions as the control system for cigarette smoke. The sensor used for detection is the MQ-2 gas sensor, which is also highly sensitive to air quality, including CO₂, ammonia, benzene, and cigarette smoke. The Internet of Things (IoT) is used for remote monitoring of cigarette smoke detection in a room. This system utilizes notifications from the Telegram application connected to the principal’s mobile phone.