Novi Indrayani
Universitas Mulia

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Analysis of the Decision System for Selecting Interest in Concentration Using the SMART Method Wahyu Nur Alimyaningtias; Isa Rosita; Djumhadi; Novi Indrayani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2020

Abstract

The information technology study program at the Faculty of Computer Science, Mulia University has two areas of concentration, namely network technology and forensic and security architecture. Students tend to be confused in determining their interest in one of the concentrations so that they are less prepared in choosing concentration courses that suit their talents and interests. This research aims to make it easier for students to classify the types of interests according to their interests. Especially 5 & 6 semester students who are involved in the Information Technology (IT) study program. IT students, have tendencies such as confusion, or doubts in choosing a concentration interest in the study program. Therefore, by conducting this research and realizing its objectives, data collection and data analysis techniques were used and SMART Decision Analysis (Simple Multi Attribute Rating Techniue) was used to produce decisions for students who had the interests and talents of the selected concentrations
PERANCANGAN PIRANTI LUNAK RESPONSIVE UNTUK MONITORING RUANGAN SERVER MENGUNAKAN NODEMCU ESP8266 BERBASIS INTERNET OF THINGS M. Safii; Novi Indrayani
Jurnal Ilmiah Matrik Vol 22 No 3 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v22i3.1121

Abstract

The role of the server is very important as a data service provider and control for an office that has a very large data usage and control system. This can also affect the temperature in the server room which has computer devices and other control systems because of its continuous use. The impact of temperature that is outside of its tolerance value due to the dead air conditioner without being noticed by the officer or server operator can result in damage to the hardware devices in the server room. Monitoring and measuring server room temperature is not possible to be done directly and accurately in all conditions due to several inhibiting factors in obtaining temperature information. With these problems, a temperature monitoring prototype was built using node MCU ESP 2866 and DHT 21 sensor with responsive web-based software so that it can be easily seen on various PC and smartphone monitors. This software can be used in server rooms to provide room temperature information to operators or server officers. The long-term objective of this research is expected to provide information Real-time temperature conditions in a responsive web-based server room.
Perancangan Sistem Monitoring Penjualan Untuk Optimalisasi Penjualan Sayuran Pada Kelompok Tani Hidroponik Menggunakan Metode Single Exponential Smoothing (SES) Novi Indrayani; Nasruddin Bin Idris
Jurnal Ilmiah Matrik Vol 22 No 3 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v22i3.1123

Abstract

One important aspect of buying and selling activities is the proper tabulation of sales data. During its development, many ways are used to store and process sales data, systems with varied features and different results according to user needs. In this study, researchers developed a system that can be accessed easily, web-based with a case study of selling hydroponic vegetables. This Sales Monitoring System can be used as a tool to record sales data, so that farmers are expected to use the data to predict the types of vegetables that should be planted. The forecasting process uses the Single Exponential Smoothing method using sales data as reference data. This system can also use to monitor the vegetables that are put into stalls or market places, and also see the accumulated monthly income. Apart from farmers, there are 3 other user categories in this system; admin, accountant and super admin