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All Journal Jurnal Media Infotama SKANIKA: Sistem Komputer dan Teknik Informatika GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Komputer, Informasi dan Teknologi 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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Journal : Jurnal Media Infotama

 1 
Sistem Otomatis Exhaust Berdasarkan Kapasitas Asap Dalam Ruangan Berbasis Internet of Things (IoT) Kurniawan, Andi; Kalsum, Toibah Umi; Mardiana, Yessi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8256

Abstract

Adeeva Hotel Bengkulu City is one of the hotels in Bengkulu City that provides room rental services, such as rooms for meetings, seminars and parties. Currently, Adeeva Hotel has 4 meeting rooms, two of which are smoking rooms. Currently, there is no system in the room that can detect smoke conditions in the room.In this study using library methods, observation, interviews and laboratories, designing a system that can detect smoke levels in a room, where the sensor will read or detect smoke levels in the room, the sensor used in detecting smoke is the MQ2 sensor. While for data processing using ESP8266 with a program on the tool made using Arduino ide and for the Internet of Things (IoT) using Blynk.The system can detect smoke levels in the room, which is carried out by the MQ2 sensor, the detection results will be processed by ESP8266 where if the smoke levels in the room are large (>) from 10 PPM, ESP8266 will send a command to the relay to turn on the exhaust, so that the smoke in the room will be released out. Besides being based on exhaust sensor detection, it can be turned on and off manually via the application by entering manual mode.
Implementasi Metode Naive Bayes Clasifier Untuk Klasifikasi Penyakit Periodontal Berdasarkan Data Pasien Pada Puskesmas Pajar Bulan Sepriyanto, Sepriyanto; Supardi, Reno; Mardiana, Yessi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9377

Abstract

The purpose of this study is to apply the naïve bayes algorithm for the classification of periodontal disease at the Dental Polyclinic of the Pajar Bulan Health Center UPTD. Periodontal diagnosis is one of the diagnoses with severe conditions that are often complained about at the Dental Polyclinic of the Pajar Bulan Health Center UPTD. However, the problem at the Pajar Bulan Health Center UPTD is that the dental polyclinic patient data is still mixed in one book without any data grouping. So that it is difficult to determine the type or classification of periodontal disease according to its severity. Therefore, a method is needed that is able to classify the risk level of various periodontal diagnoses that occur at the Pajar Bulan Health Center UPTD so that they can be handled immediately with appropriate actions using the Naïve Bayes method. From the results of the tests carried out, the Naïve Bayes method can be used as a solution in using this system. In its application, this Naïve Bayes method can classify the type of periodontal disease at the Pajar Bulan Health Center UPTD
Co-Authors Ananda, Rizky Andi Kurniawan Dina Kartika Fredricka, Jhoanne Hazairin, Farhan Hendri Alamsyah Iskandar, Agung Pradana Kalsum , Toibah Umi Ninosari, Devina ninosari, Devina Ninosari devina Novita Sari, Venny Prahasti Prahasti Prahasti Riska Riska Riska Risnauli N, Renta Rozzi, Yoli Andi Sallaby, Achmad Fikri Saputra, Andrik Sepriyanto Sepriyanto, Sepriyanto Supardi, Reno Suwarto Suwarto Toibah Umi Kalsum Toibah Umi Kalsum Vingestin, Iga