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All Journal Jurnal Media Infotama JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL SURYA ENERGY GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Journal Of Information And Technology Unimor (JITU) Journal Computer Science and Informatic Systems : J-Cosys Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Internet of Things and Artificial Intelligence Journal Jurnal Dehasen Mengabdi
Toibah Umi Kalsum
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Create An E-Raport Application Using The Laravel Framework And Mysql Tahari, Arzan; Kalsum, Toibah Umi; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8915

Abstract

Learning outcome reports are written evidence of student learning progress over time. The data recorded in the student learning outcome report can be used to track student progress, identify student strengths and weaknesses in several subjects. This research aims to develop a web-based E-Raport application using the Laravel Framework and MySQL. This research was conducted at SD Negeri 33 Seluma. Located in Lubuk Betung Village, Semidang Alas Maras District, Seluma Regency, Bengkulu Province from October to November 2024. The result of this research is the creation of an E-Raport application that has features of managing student data, inputting grades, calculating grades, and making report cards.
Ototype Deteksi Banjir Menggunakan Platform Thinger.Io Dan Notifikasi Telegram Romadoni, Dimas Aldi; Kalsum, Toibah Umi; Alamsyah, Hendri
Jurnal Multidisiplin Dehasen (MUDE) Vol 4 No 4 (2025): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v4i4.9091

Abstract

Climate change and rapid urbanisation have increased the risk of flooding in various regions. Early detection systems are crucial to minimise material losses and casualties. This study aims to design and build an Internet of Things (IoT)-based flood detection prototype using the Thingr Io platform and Telegram notifications. The method used is a prototype, equipped with water level sensors that send real-time data to ThingeriO for monitoring and processing. If the data indicates a potential flood, the system automatically sends an alert to users via a Telegram bot so they can take preventive actions promptly. Testing showed that the system can detect water level increases with high accuracy and send notifications with a response time of approximately 5 seconds. At water levels of 128–168 cm, a red LED light indicates danger, while at 73–127 cm, a yellow LED light signals caution. and a green LED light indicates safety at water levels of 0-72 cm. This prototype is expected to become an effective and economical solution in supporting early warning systems for flood disasters across various regional scales.
Perancangan Sistem Keamanan Rumah Pintar Menggunakan ESP8266 Berbasis IoT Dinata, Ego Setia; Kalsum, Toibah Umi; Rozzi, Yoli Andi
Jurnal Multidisiplin Dehasen (MUDE) Vol 4 No 4 (2025): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v4i4.9092

Abstract

The advancement of Internet of Things (IoT) technology has opened up new opportunities in developing more efficient and integrated home security systems. This research aims to design a smart home security system based on IoT using the NodeMCU ESP8266 microcontroller integrated with a PIR motion sensor, LED, and buzzer. The system is designed to detect suspicious motion around the house and provide real-time notifications to the user. In its implementation, the system utilizes Telegram as a security alert platform. When the PIR sensor detects motion, the NodeMCU activates the buzzer and LED as local alarms and sends an automatic message to the user's Telegram account. Additionally, the system features remote control via WhatsApp, allowing users to activate or deactivate the security system as needed.Test results show that the system can respond quickly to motion detection, trigger local alarms, send notifications via Telegram, and receive remote commands via WhatsApp reliably. With its simple design and low cost, this system offers an effective solution for enhancing home security in a smart and practical way
Manajemen Jaringan Internet Berbasis Mikrotik Di SMKN 04 Kota Bengkulu Alamsyah, Hendri; Hepni, Hepni; Kalsum, Toibah Umi
Journal of Information and Technology Vol. 4 No. 2 (2024): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v4i2.7592

Abstract

Jaringan komputer pada SMK N 04 Kota Bengkulu saat ini sudah terhubung ke jaringan internet, pemanfaatan jaringan LAN khusnya internet pada SMK N 04 Kota Bengkulu belummaksimal, karena masih sering terjadinya gangguan pada jaringan seperti jaringan lambat dan masih banyaknya konten yang tidak semestinya diakses. Penelitian ini bertujuan melakukan manajemen jaringan internet berbasis mikrotik di SMK N 04 Kota Bengkulu. Penelitian menggunakan metode eksperimental. Dengan adanya manajemenjaringan berbasis mikrotik diharapkan bisa mempelancarjaringan. Sehingga manfaat jaringan bias dirasakan dalam oleh pengguna SMA N 04 Kota Bengkulu. Manajemen Jaringan berbasis mikrotik pada SMA N 04 Kota Bengkulu dapat dapat digunakan dengan satu user name hanya bias mengkases jaringan pada satu perangkat, pembagian bandwith berdasarkan akun sesuai profil akun tersebut, manajemen bandwith dilakukan menggunakan profil yang terhubung ke simplequeue. Setelah melakukan manajemen jaringan berbasis mikrotik di SMA N 04 Kota Bengkulu jaringan dapat berjalan dengan stabil dan baik yaitu dengan hasil troughtput = 4.06, Rata-rata delay = 0.648, jitter = 0.018 dan PacketLost = 0%.
PENERAPAN METODE K-MEANS CLUSTERING DALAM PENGELOMPOKAN DATA PENJUALAN BARANG DI TOKO USAHA BINGKAI 2 BENGKULU Gustianto, Angga; Sari, Herlina Latipa; Kalsum, Toibah Umi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4813

Abstract

Abstract: Toko Usaha Logam 2 Bengkulu is a business selling frames, calligraphy, mirrors, and similar products that still manages transactions manually. This condition complicates the process of recording, sales analysis, and inventory management. This study applies the K-Means Clustering method to group sales data based on inventory quantity and sales volume. The data sample used is transactions during September 2025. Grouping is carried out into three clusters, namely: very popular items, medium-popular items, and not popular items. The results show that there are 6 items included in the very popular category (17.1%), 23 items are in the medium-popular category (65.7%), and 6 items are in the not popular category (17.1%). The application of the K-Means method has been proven to be able to provide information on sales patterns that can assist decision-making in stock management and sales strategies.Keywords: K-Means Clustering Method, Sales Data, Toko Usaha Frame 2 Bengkulu Abstrak: Toko Usaha Bingkai 2 Bengkulu merupakan usaha penjualan bingkai, kaligrafi, cermin, dan produk sejenis yang masih mengelola transaksi secara manual. Kondisi ini menyulitkan proses pencatatan, analisis penjualan, dan manajemen persediaan. Penelitian ini menerapkan metode K-Means Clustering untuk mengelompokkan data penjualan barang berdasarkan jumlah persediaan dan jumlah penjualan. Sampel data yang digunakan adalah transaksi selama bulan September 2025. Pengelompokan dilakukan ke dalam tiga cluster, yaitu: barang sangat laris, laris sedang, dan tidak laris. Hasil penelitian menunjukkan bahwa terdapat 6 barang termasuk kategori sangat laris (17,1%), 23 barang masuk kategori laris sedang (65,7%), dan 6 barang berada pada kategori tidak laris (17,1%). Penerapan metode K-Means terbukti mampu menyediakan informasi pola penjualan yang dapat membantu pengambilan keputusan dalam pengelolaan stok dan strategi penjualan.Kata kunci: K-Means Clustering Method, Sales Data, Toko Usaha Bingkai 2 Bengkulu
Co-Authors Adi Wijaya, Adi Wijaya Aji, Totok Surya Alamsyah, Hendri Angram, Adevto Asyhari, Ahmad Azmi, Fadhil Bibiola, Fifmianti Dewantara, Dewantara Dimas Aulia Trianggana Dinata, Ego Setia Dwinata, Renaldo Eko Prasetyo Rohmawan Fredricka, Jhoanne Gustianto, Angga Hendri Alamsyah Hepni, Hepni Herdiansyah Herdiansyah Herlina Latipa Sari Hermawansyah, Hermawansyah Herwanto, Prengki Rahmadan Iskandar, Agung Pradana Mardian Septohadi Mardiana, Yessi Mona, Prahasti Prahasti Prahasti Prama Wira Ginta Prasetya, Anjas Mara Pratama, Hary Satria Riska Riska Riska Rizka Rizka, Rizka Rizka Tri Alinse, Rizka Tri Romadoni, Dimas Aldi Roynaldi, Tomy Rozzi, Yoli Andi S Siswanto Sallaby, Achmad Fikri Satriawan, Tedy Sawaludin, Prengki Susanti, Ovi Tahari, Arzan Vingestin, Iga