Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Journal of Information Technology and Informatics Engineering
Amar Naufal Al-kharits
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemanfaatan Media Sosial Dalam Digital Marketing Amar Naufal Al-kharits; Nazar Maulana; Muhamad Bustomi; Eko Andri Wibowo; Ageng Samudro Ndiko Laksono
Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Vol 1 No 1 (2025): Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Publisher : PT Jurnal Cendekia Indonesia

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

Abstract

The advancement of information technology has transformed the way products are marketed globally, with social media now serving as one of the primary tools in digital marketing strategies. This Community Service Program (PKM) aimed to educate students at SMK YMIK Joglo on how to effectively utilize social media to support digital marketing, whether for personal or business purposes. Held on November 20, 2024, the program employed an interactive approach that included lectures, discussions, case simulations, and hands-on practice using digital platforms such as Instagram and TikTok. Topics covered included an introduction to digital marketing, the fundamentals of personal branding, techniques for creating engaging content, and the use of visual design tools like Canva. The implementation results showed that participants experienced improved understanding of digital marketing concepts and were able to independently create appealing promotional content. The high level of participation during Q&A and practical sessions demonstrated that interactive methods are highly effective for delivering material. This program is expected to serve as a starting point for fostering a digital entrepreneurial spirit among students and encouraging the productive use of social media. Support from the school, supervising lecturer, and guest speakers played a vital role in the program's success. The activity also lays a foundation for future initiatives aimed at enhancing digital literacy in vocational education environments.
Prediksi Diabetes Berdasarkan Faktor Medis Pasien Menggunakan Algoritma Decision Tree Ahmad Reza; Amar Naufal Al-kharits; Muhamad Bustomi; Nazar Maulana; Taupik Abdul Rahman
Journal of Information Technology and Informatics Engineering Vol 1 No 1 (2025): Journal of Information Technology and Informatics Engineering (JITIE)
Publisher : PT Jurnal Cendekia Indonesi

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

Abstract

Early detection of diabetes risk is crucial to prevent severe complications. This study develops a predictive model for diabetes using the Decision Tree algorithm based on patient medical data. The dataset consists of 768 records with eight health-related attributes, of which 99 labeled instances are used to train the model. The process includes data cleaning, target attribute assignment, and model construction using RapidMiner. Results indicate that variables such as age and glucose levels significantly influence diabetes classification. Although the initial findings show promising potential, further validation with larger and more balanced datasets is needed to improve the model's accuracy.
Co-Authors Ageng Samudro Ndiko Laksono Ahmad Reza Eko Andri Wibowo Muhamad Bustomi Nazar Maulana Taupik Abdul Rahman