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Sistem Kendali Perangkat Listrik dan Monitoring Daya Listrik Berbasis Internet Of Things. Permana, Baiq Andriska Candra; Muhammad Sadali; Aris Sudianto; Harianto; Lalu Kerta Wijaya
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26534

Abstract

Electricity is one of the basic needs of everyday life. Nowadays, humans are heavily dependent on the availability of electricity, where a stable power supply is essential for lighting and operating various electronic devices. The average electricity consumption of the Indonesian population continued to increase every year during the period 1971–2022. That's a straightforward comparison to the ever-increasing electricity tariff. One attempt to save on the cost of electricity use, for example, is to use it wisely. The research aims to make it easier for users to control electrical devices and monitor the use of electricity at home even when they are not there. The method used is the Internet of Things (IoT) and Blynk technologies that installed on smartphones connected to the Internet. The research results show that users can control electrical devices at home and monitor the power used at home remotely only through their smartphones, as long as their smartphone has an internet connection. With the control and monitoring system, it will be easier for users to manage electricity usage and address instances of electricity wastage caused by user negligence in turning off the electricity when leaving the house
Pengembangan Model Convolutional Neural Network (CNN) untuk Klasifikasi Penyakit Kulit Berbasis Citra Digital Imam Fathurrahman; Mahpuz; Muhammad Djamaluddin; Lalu Kerta Wijaya; Ida Wahidah
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28655

Abstract

This study aims to develop a skin disease classification model based on Convolutional Neural Networks (CNN) specifically designed to classify three types of skin diseases: acne, ringworm, and tinea versicolor. Unlike some previous studies that utilized datasets from various domains such as textile images, plants, and blood cell images, this research specifically employs a dataset relevant to skin diseases. The dataset used in this study consists of 810 skin disease images, divided into 600 images for training (200 images each for acne, tinea versicolor, and ringworm) and 210 images for testing. To enhance data variation and support model generalization, the dataset was processed using augmentation techniques. The model's performance evaluation showed promising results, with an average accuracy of 87.14%. Additionally, the model achieved precision, recall, and F1-score values of 87% each, demonstrating its ability to detect and classify skin diseases consistently. This study is expected to serve as a foundation for developing more accurate and efficient technology-based diagnostic tools, particularly for skin diseases, in the future
Pendampingan Pembuatan Sistem Informasi Pembayaran Tagihan Air Berbasis Website Pada BUMDes ‘Saling Sedok’ Desa Peresak Kecamatan Sakra Kabupaten Lombok Timur Lalu Kerta Wijaya; Indra Gunawan; Harianto; Ahmad Arbiansyah; Susanti; Yusril Hadi; Angghita Muthiara Yusfadhila; Muh. Kamarur Rijali Hilali; Zulkarnaen
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 1 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i1.28863

Abstract

The website-based water bill payment information system at BUMDes Saling Sedok is a system used to carry out tariff management, more efficient customer data management, daily and monthly reports and outstanding bills along with water meter recording. It is hoped that this water bill payment information system will make it easier for officers or managers to carry out management by storing and processing payment transaction data from existing customers. The research method used is the waterfall method in planning and development, while the power collection method uses observation and interview methods starting from analysis, planning, designing and creating a website-based water bill payment information system with the achievements of the stages that occur in managing water bill payment power. it becomes easier, more effective and efficient. The software used for program design and implementation uses xampp as the web server, phpMySQL as the database and visual studio code as the text editor for writing php and html scripts. The results of this community service research include a project to design a website-based water bill payment information system to make it easier for officers to record water bill reports such as customer data, tariff data, bill data and water meter usage data. Using information system testing with the black box testing method and the final stage is implementing the information system which includes the implementation of software, hardware, databases and interfaces of the resulting information system