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All Journal Informatics for Educators and Professional : Journal of Informatics Jurnal Sistem Informasi dan Teknologi (SINTEK) Jurnal Ar Ro'is Mandalika (Armada)
Saludin Muis
Universitas Bina Insani
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Pengembangan Sistem Informasi Perpustakaan SMA Kumnamu Berbasis Web Robert; Saludin Muis; Yohanes Ari Setiawan
Jurnal Sistem Informasi dan Teknologi Vol 2 No 1 (2022): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v2i1.40

Abstract

Pada zaman ini, sistem informasi merupakan suatu hal yang penting untuk sebuah organisasi miliki. Perpustakaan SMA Kumnamu saat ini masih dilakukan secara manual dengan hanya mengandalkan buku besar yang berisikan transaksi peminjaman buku dan pendataan buku serta anggota hanya dilakukan menggunakan Microsoft Excel. Berdasarkan masalah yang dijelaskan, dapat dihasilkan hipotesis bahwa perpustakaan SMA Kumnamu memerlukan sistem informasi yang dapat mengelola seluruh administrasi secara terkomputerisasi agar seluruh transaksi, data buku, dan data anggota dapat tersimpan secara baik dalam database sistem serta untuk melihat perkembangan tingkat literasi siswa/i-nya. Sistem informasi dibangun menggunakan metode Waterfall untuk mendeskripsikan alur penelitian, tahapan untuk merancang sistem menggunakan UML, MySql sebagai database sistem, dan PHP serta HTML untuk bahasa pemrograman, sedangkan metode pengumpulan data menggunakan observasi, wawancara dan studi literatur.
Pemanfaatan Jaringan Saraf Tiruan Hamming dan MAXNET Dalam Mendeteksi Nomor Plat Kendaraan Saludin Muis
INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics Vol 7 No 1 (2022): INFORMATICS FOR EDUCATORS AND PROFESSIONAL : JOURNAL OF INFORMATICS (Desember 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/itbi.v7i1.2128

Abstract

Abstrak:. Jaringan Hamming awalnya diteliti oleh Lippmann dan lembaga DARPA, jaringan Hamming bekerja berdasarkan prinsip kecocokan atau kesesuaian data vektor input dengan pola vektor prototip yang tersimpan dalam matriks bobot, sehingga jaringan ini tidak memerlukan “pelatih” dalam proses pembelajaran. Kesederhanaan cara kerja jaringan Hamming membawa konsekuensi akan persyaratan tertentu yang memungkinkan kinerja dalam mendeteksi data vektor input secara akurat. Persyaratan yang diperlukan jaringan Hamming menjadi fokus penelitian pada laporan ini. Variabel data vektor prototip dan variabel data vektor input diteliti untuk melihat pengaruhnya terhadap keakuratan jaringan Hamming dalam mendeteksi data vektor input yang terdapat efek pengaburan dari lingkungan. Hasil penelitian berupa persyaratan yang diperlukan dan selanjutnya dapat diaplikasikan pada sistem Pemanfaatan Jarinngan Saraf Tiruan Hamming dan MAXNET Dalam Mendeteksi Nomor Plat Kendaraan. Kata kunci: Hamming Network, MAXNET, dimensi, keakuratan, bit Abstract: The Hamming network was originally researched by Lippmann and DARPA department, the Hamming network works based on the principle of matching or matching the input vector data with the prototype vector pattern stored in the weight matrix, so this network does not need a "trainer" in the learning process. The simplicity of how the Hamming network works has consequences for certain requirements that enable performance in detecting input vector data accurately. The requirements needed by the Hamming network are the focus of research in this report. Prototype vector data variables and input vector data variables were examined to see their effect on the accuracy of the Hamming network in detecting input vector data that has a defocusing effect from the environment. The results of the research are in the form of requirements that are needed and can then be applied to the system of Utilizing Hamming and MAXNET Artificial Neural Networks in Detecting Vehicle Plate Numbers. Keywords: Hamming Network, MAXNET, Dimension, Acurate, bit
Design and Development of a Fire Monitoring and Alert System Prototype Based on the Internet of Things (IoT) Ramadika Dimas Nugroho; Saludin Muis
Jurnal Ar Ro'is Mandalika (Armada) Vol. 5 No. 3 (2025): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v5i3.5283

Abstract

Bekasi City experienced a significant increase in fire incidents in 2023, reaching 446 cases with material losses amounting to IDR 132.2 billion. Fires are generally only detected when the fire has already spread or the smoke has been extinguished, increasing the risk of losses. To address this, this study designed a prototype Internet of Things (IoT)-based fire monitoring and warning system in the Zedigit program and media team's workspace using a prototype method. The system uses one master module and three child modules equipped with a KY-026 fire sensor, an MQ-2 smoke sensor, and a DHT22 temperature sensor. Sensor data is sent to the master module via the MQTT protocol using a NodeMCU ESP8266. When a fire hazard is detected, the system activates a buzzer and sends a notification via the Telegram app in real time. This system is expected to provide fast and accurate early fire warnings, reducing the risk of asset damage and improving employee safety. This system is an effective solution for improving fire safety management within the Zedigit environment through digital technology.
Design of a Fire Warning Prototype System at PT. Sevta Nusa Energi Using N Sensor Modules Anastasya Sa’adah; Saludin Muis
Jurnal Ar Ro'is Mandalika (Armada) Vol. 5 No. 3 (2025): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v5i3.5289

Abstract

Fire is an unexpected disaster and can occur at any time, often due to human negligence. Data from the Bogor Regency Fire Department shows an increase in the number of fires, especially in industrial and commercial areas, with a total of 280 cases in 2023, including 170 cases in Bogor City, which increased significantly from 172 cases in 2022. PT Sevta Nusa Energi, which is engaged in convection, merchandising, and Event Organizer, stores various materials and equipment that have the potential to catch fire. To reduce the risk of fire, an advanced fire detection system can be a solution, using technologies such as fire sensors, automatic alarms, and Internet of Things (IoT) connectivity to provide early warning to warehouse management and emergency response teams. The use of KY-026 sensors to detect fire, as well as DHT22 sensors to measure temperature and humidity, allows for accurate and fast data collection, so that preventive measures can be taken immediately. Based on this explanation, a title was made, Designing a Fire Early Warning System at PT Sevta Nusa Energi Using N Sensor Modules.
Co-Authors Anastasya Sa’adah Ramadika Dimas Nugroho Robert Yohanes Ari Setiawan