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All Journal ILKOM Jurnal Ilmiah GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Media Computer Science Digital Transformation Technology (Digitech) Internet of Things and Artificial Intelligence Journal Jurnal Dehasen Mengabdi Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Sistem Informasi Komputer dan Teknologi Informasi
Mardiana, Yessi
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences

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The Design Of Network Monitoring System Using SNMP Protocol With Telegram Notification Vingestin, Iga; Kalsum, Toibah Umi; Mardiana, Yessi
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3441

Abstract

One of the network monitoring systems that use SNMP protocol using Nagios. Nagios is an open source application for monitoring and has many plugins, one of which is through Telegram. Where the monitoring results report can be sent via Telegram in real time. This SNMP protocol has many features such as IP Address-based relationships, can exchange data, configure other devices, monitor networks, monitor other devices. With the many features and capabilities of the SNMP protocol, this protocol can be used for network monitoring. From a series of tests carried out by the network monitoring system using the SNMP protocol with telegram notifications running well, according to the design and configurations implemented. Starting from the installation of linux ubuntu server, LAMP Server (Apache2, PHP and MySQL) and the Nagios Core System, then login to the Nagios core system, after successfully logging in, a dashboard page appears that can be used to display network monitoring results in real time..
- Pengolahan Citra Digital Pada Buah Nanas Menggunakan Metode Linear Discriminant Analisys (LDA): - ninosari, Devina Ninosari devina; Mardiana, Yessi
SISKOMTI: Jurnal Sistem Informasi Komputer dan Teknologi Informasi Vol. 4 No. 2 (2022): Agustus 2022
Publisher : Universitas Lembah Dempo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54342/q19vc416

Abstract

Pineapple is a fruit commodity that is superior to Indonesia. This is because pineapple is afruit that has the highest export volume in Indonesia. To obtain pineapples with perfectripeness, they are generally selected manually, this becomes inefficient if large quantities ofpineapples are selected. So, in this study an image processing system will be developed thatcan classify the ripeness of pineapple fruit based on its image. In this study, the color featureextraction used is feature extraction based on hue and saturation values. Color featureextraction with hue and saturation is used to obtain various information from the colors inthe image so as to facilitate the identification process. Furthermore, Linear DiscriminateAnalysis will get the optimal projection to be able to enter spaces with smaller dimensions bydoing pattern recognitionwhich can be separated so that they can be grouped based on the boundary line obtainedfrom the linear equation. Based on the results of the accuracy test, the accuracy levelreaches 83%, which is included in the good category
Analisis dan Monitoring Data Penjualan Pada Minimarket Agung Menggunakan Metode Clustering Dan Algoritma K-Means Mardiana, Yessi; Rozzi, Yoli Andi; Novita Sari, Venny
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.5853

Abstract

Penelitian ini menerapkan Data Mining dengan menggunakan metode Clustering untuk menganalisis data penjualan pada Minimarket Agung Bengkulu. Algoritma yang digunakan yaitu K-Means Clustering, di mana data dikelompokkan berdasarkan karakteristik yang sama akan dimasukkan ke dalam kelompok yang sama dan set data yang dimasukkan ke dalam kelompok tidak tumpang tindih. Informasi yang ditampilkan berupa kelompok – kelompok data produk berdasarkan tingkat penjualannya. Pengujian dilakukan dengan aplikasi RapidMiner 5.3. Hasil pengujian sistem yang didapatkan berupa kelompok data penjualan menjadi kelompok laris dan tidak laris, sehingga cluster data tersebut dapat dijadikan acuan untuk pemesanan barang berikutnya. Clustering yang dihasilkan digunakan untuk menentukan jumlah produksi produk. Cluster produk yang memiliki tingkat penjualan laris memiliki jumlah produksi yang tinggi atau stabil seperti sebelumnya. Kemudian cluster produk dengan tingkat penjualan tidak laris, maka jumlah produksi produk untuk berikutnya dikurangi agar tidak terjadi penumpukan produk di gudang dan mengalami kadaluarsa. Baik perhitungan secara manual maupun perhitungan menggunakan software Rapid Miner didapatkan kesamaan hasil pengujian.
Rancang Bangun Jaringan Internet Di Kantor Desa Sukananti Menggunakan Mikrotik Dan Penguat Sinyal 4G Saputra, Andrik; Riska; Mardiana, Yessi
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3287

Abstract

Mikrotik merupakan salah satu hardware untuk jaringan yang dilengkapi dengan sistem operasi mikrotik (Mikrotik OS). Pada penelitian ini mikrotik digunakan untuk pengaturan jaringan. Penguat sinyal pada penelitian menggunakan antenna yagi yang bertujuan untuk meningkatkan penerimaan sinyal, hal ini karena sinyal yang diterima saat ini pada kantor desa Sukananti kecil. Modem menggunakan modem GSM. Sistem jaringan setelah menggunakan mikrotik menjadi sistem hotspot, dimana setiap pegawai akan memiliki akun masing-masing. Dan disamping itu mikrotik juga digunakan untuk melakukan manajemen jaringan. Dengan adanya penggunakan sistem ini , saat ini jaringan pada Kantor Desa Sukananti menjadi lebih baik. Dari sebelumnya penerimaan sinyal hanya sebesar -110 Dbm, saat ini menjadi -80 Dbm, dan jaringan menjadi lebih lancar.
KENDALI ROBOT BLUETOOTH DENGAN SMARTPHONE ANDROID BERBASIS ARDUINO UNO Handayani, Yanolanda Suzantry; Mardiana, Yessi
ILKOM Jurnal Ilmiah Vol 10, No 3 (2018)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i3.363.331-337

Abstract

The Mobile Robot is a robot construction whose characteristic is to have an actuator in the form of a wheel to move the entire body of the robot, so that the robot can shift positions from one point to another. This Mobile Robot is designed to move using an Android Smartphone controller that has an application that is suitable for robot movements. This robot uses Arduino Uno as a Bluetooth robot control system, the Bluetooth module functions as receiving commands sent via an Android Smartphone, a DC Motor is functioned as a controlled Robot drive using an Android Smartphone and Boarduino application installed via Playstore. The method used is the experimental method, the research will focus on communication between smartphone devices and Arduino Uno microcontrollers via Bluetooth to control robotic devices. Based on testing Bluetooth connections on robots, it can be concluded that the Bluetooth connection between the Smartphone and the Bluetooth robot can be fully controlled by a range of 25 meters, for a distance of 25-32 meters has a signal drop and is broken, and more than a range of 32 meters will experience a broken connection so that the robot cannot be controlled anymore.
Co-Authors Ananda, Rizky Devina Ninosari Dina Kartika Fredricka, Jhoanne Handayani, Yanolanda Suzantry Hazairin, Farhan Hendri Alamsyah Iskandar, Agung Pradana Kalsum , Toibah Umi Ninosari, Devina Novita Sari, Venny Prahasti Prahasti Prahasti Riska Riska Riska Rozzi, Yoli Andi Sallaby, Achmad Fikri Saputra, Andrik Suwarto Suwarto Toibah Umi Kalsum Vingestin, Iga