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Web-Based Application for Toddler Nutrition Classification Using C4.5 Algorithm Hairani Hairani; Lilik Nurhayati; Muhammad Innuddin
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 2 (2022): September 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.653 KB) | DOI: 10.30812/ijecsa.v1i2.2387

Abstract

Health is something that is important for everyone, from year to year various efforts have been developed to get better and quality health. Good nutritional status for toddlers will contribute to their health and also the growth and development of toddlers. Fulfillment of nutrition in children under five years old (toddlers) is a factor that needs to be considered in maintaining health, because toddlerhood is a period of development that is vulnerable to nutritional problems. There are more than 100 toddler data registered at the Integrated Healthcare Center in Peresak Village, Narmada District, West Lombok Regency. The book contains data on toddlers along with the results of weighing which is carried out every month. However, to classify the nutritional status of toddlers, they are still going through the process of recording in a notebook by recording the measurement results and then looking at the reference table to determine their nutritional status. This method is still conventional or manual so it takes a long time to determine the nutritional status. Therefore, the solution in this study is to develop a web-based application for the classification of the nutritional status of children under five using the C4.5 method. The stages of this research consisted of problem analysis, collection of 197 instances of nutritional status datasets obtained from Integrated Healthcare Center Presak, analysis of system requirements, use case design, implementation using the C4.5 method, and performance testing based on accuracy, sensitivity, and specificity. The results of this study are a website-based application for the classification of the nutritional status of children under five using the C4.5 method. The performance of the C4.5 method in the classification of the nutritional status of toddlers using testing data as much as 20% gets an accuracy of 95%, sensitivity of 100%, and specificity of 66.6%. Thus, the C4.5 method can be used to classify the nutritional status of children under five, because it has a very good performance.
Pendampingan Manajemen Bandwidth Jaringan Komputer menggunakan Mikbotam pada SMKN 1 Lingsar Andi Sofyan Anas; Hasbullah Hasbullah; Ahmad Zuli Amrullah; Ria Rismayati; Muhammad Innuddin; Rifqi Hammad
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 1 No 2 (2021): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.31 KB) | DOI: 10.35746/bakwan.v1i2.174

Abstract

Internet is one of the most important needs in human life. The need for the internet is increasingly crowded, making the world of education in Indonesia very enthusiastic about using it as a means of learning and learning. The use of the internet as a learning and learning tool makes it easier for educators (teachers) to interact with students (students) regardless of their position or distance. However, in meeting the need for a stable and fast internet, it is necessary to provide assistance on bandwidth management. In this assistance, one must be able to understand how much bandwidth is capable of optimizing internet connections for the learning and learning process at SMKN 1 Lingsar. In addition to these needs, it is important to know that bandwidth utilization is shared everywhere so that internet optimization for learning goes well. Therefore, optimal assistance aims to enable users to perform bandwidth management according to the stages of using mikbotam, so that monitoring of bandwidth usage can be carried out more optimally by SMKN 1 Lingsar. The mentoring method is carried out in 5 stages, namely planning, preparation, implementation, evaluation, and reporting. The results obtained from this service program are participants are able to perform bandwidth management according to the stages that have been given.
SOSIALISASI INTERNET SEHAT, CERDAS, KREATIF DAN PRODUKTIF PADA MASYARAKAT KALIJAGA BARU Hairani Hairani; Muhammad Innuddin; Dedy Febry Rachman; Ahmad Fathoni; Samsul Hadi
Valid Jurnal Pengabdian Vol. 1 No. 3 (2023)
Publisher : Lembaga Pengembangan, Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Ilmu Ekonomi AMM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Metode penelitian ini adalah metode deskriptif kualitatif. Teknik yang digunakan dalam pengumpulan data adalah teknik observasi, teknik wawancara, dan dokumentasi. Hasil penelitian ini menemukan dua masalah, antara lain belum memahami cara menggunakan dan memanfaatkan teknologi internet dengan baik dan benar. Kesimpulan dari penelitian ini adalah penggunaan dan pemanfaatan teknologi secara tepat, menimbulkan dampak positif dan mengurangi dampak negatif. Dengan mengetahui cara memanfaatkan teknologi internet secara baik dan benar akan mampu menjadikan masyarakat cerdas, kreatif, dan produktif. Tujuan cerdas, kreatif, dan produktif adalah agar masyarakat dapat mengembangkan dan menerapkan apa yang telah diperoleh dalam teknologi internet, yang diterapkan dalam kehidupan sehari-hari.
Electric Vehicle Sales-Prediction Application Using Backpropagation Algorithm Based on Web Ramadhanti Ramadhanti; Hairani Hairani; Muhammad Innuddin
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 2 No 2 (2023): September 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i2.3388

Abstract

The accuracy of predicting future product sales is needed to minimize losses and gain profits. Inventory of goods carried out manually or improper product inventory planning causes the number of goods to accumulate due to the small number of requests, so the goods are damaged. Therefore, a sales prediction system with high accuracy is needed to assist in stocking electric vehicles. This research aimed to predict electric vehicle sales using the web-based backpropagation method. This study uses the backpropagation method to predict electric vehicle sales data from 2015 to 2022. The data is divided into 84 instances as training data and 12 instances as testing data. The result of this study was that the backpropagation method obtained a MAPE error rate of 6.25%. Thus, the backpropagation method can be used for predicting electric vehicle sales because it has a very accurate performance level.