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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Suroso Suroso
Politeknik Negeri Sriwijaya, Palembang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Sistem Pendeteksi Kebocoran LPG Untuk Smarthome Berbasis IoT dengan Metode Fuzzy Ciksadan Ciksadan; Suroso Suroso; Yuris Ramadhona
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.1238

Abstract

Common problems that often occur in users of LPG gas, especially LPG gas with a size of 3kg are the wrong way of installation and the leakage of gases that are not detected by the sense of human smell that often causes fires. Fires were triggered due to sparks or even by an electronic device that is still on due to manual operation of electronic devices so that users forget to shut down the device when not in use. Therefore, an integrated technology of a system that can control electronic devices automatically and monitor LPG gas leakage thereby reducing the risk of gas leaks that are not detected by the sense of smell of humans and the risk of fire due to electronic devices that continue to ignite when not in use. The sensors used in this system are PIR sensors to detect human presence and MQ6 sensors to detect the presence of leaky gas and Raspberry pi as processors based on Internet Of Things using the fuzzy logic method as the MQ6 sensor input receiver. This system will automatically turn on the lights when a human being is detected and turn off the lights when there are no humans, besides this system will also automatically turn on the buzzer as a warning when a gas leak is detected. Data received by raspberry pi will be stored on the web server and sent to the user's e-mail in the form of gas leak status and electronic device status
Implementasi Metode Simple Additive Weighting dan Machine Learning Untuk Rekomendasi Produk Skin Care Berbasis Android Dana Pratiwi; Suroso Suroso; Jon Endri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2389

Abstract

Skin health, especially facial skin, is important because the face is the main attraction seen by others. This is closely related to the use of skincare products or skin care products that are used daily. Before determining which skincare product to use, it is very important to know the conditions and problems of facial skin. To make it easier to find out skin conditions and problems, researchers created an android-based application called "Hi Beautiful" using the Machine Learning and Simple Additive Weighting methods. In the application, Machine Learning plays a role in providing information on skin problems based on the results of feature extraction using the Gray Level Co-Occurrence Matrix (GLCM) method whose feature extraction results will be classified by the K-Nearest Neighbor method through inputting images on facial skin using the cellphone camera feature. Meanwhile, the simple additive weighting method is used to provide recommendations for skincare products based on the criteria for skin problems, skin types, age and product price ranges to be recommended. The implementation of the Hi Beautiful application is made using the open source Android Studio application. The results of tests carried out on the Hi Beautiful application include information on skin problems and recommendations for skincare products in the form of cleanser, toner, serum and moisturizer.
Pengujian Konfigurasi Otomatis Penambahan Gateway Pada Virtual Router Menggunakan Aplikasi Otomatisasi Jaringan Berbasis Web Elin Sylvania Ginting; Suroso Suroso; Irawan Hadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2485

Abstract

Current router configuration is still done conventionally, which means that to configure routers in a complex network, a network administrator configures the routers one by one. This is very inefficient, because if the router you want to configure is done in hundreds or thousands of routers, then the time needed by a network administrator is very long. Therefore, automation is needed. This study creates a web-based network automation application with python, the paramiko library which functions as a bridge between the server and network devices using the SSH (Secure Shell) protocol, and the django framework that can configure IP Gateway automatically. Network automation is carried out in a simulation using the GNS3 application on a previously designed network topology. The network automation application testing method used is the black-box testing method. The output of this research is a website consisting of a user page and an admin page that can configure virtual routers automatically.
Co-Authors Ciksadan Ciksadan Dana Pratiwi Elin Sylvania Ginting Endri, Jon Irawan Hadi Yuris Ramadhona