Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) El-Mujtama: Jurnal Pengabdian Masyarakat
Yonhendri
Unknown Affiliation
Religion Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
SELEKSI PENERIMA BANTUAN SOSIAL MENGGUNAKAN METODE FUZZY AHP Yonhendri; Ahmad Zulfan; Mhd Sandi Rais; Mohd Iqbal; Rezi Elsya Putra
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 1 No 1 (2022): januari : Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.475 KB) | DOI: 10.55606/jupikom.v1i1.187

Abstract

The high level of poverty in Indonesia encourages the government and social institutions to seek to provide social assistance to the community in improving welfare, especially during the COVID-19 pandemic, in the form of basic necessities, cash, and other forms of subsidies. However, sometimes the distribution of social assistance is not well-targeted so that some people should receive the assistance but are not touched at all. Then the data obtained are also still manual so it takes time in making decisions. Therefore we need a method that can assist in making decisions quickly with the help of computers. One of the methods used in making these decisions is the Fuzzy Analytic Hierarchy Process (FAHP) which is widely used for solving decision-making problems with many criteria. Fuzzy AHP itself is a combination of the analytic hierarchy process (AHP) method and fuzzy theory. In this study, several criteria were determined in the selection of recipients of social assistance, namely employment, expenditure, clothing, food, and housing. Furthermore, the alternative recipients of social assistance that will be selected are compared based on predetermined criteria. The highest value which is the result of Fuzzy AHP calculations can be used as a recommendation for decision-makers in selecting social assistance recipients. Keywords: fuzzy, ahp, decision support system.
Implementasi Sistem Prediksi Saham Real-Time dengan Integrasi Yahoo Finance API dan Machine Learning di Google Colab Muhammmad Faiq Abdi; Yonhendri
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 3 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i3.7379

Abstract

The issue of stock price prediction is a critical topic in the financial world, where accurate predictions are essential for making better investment decisions. This research develops a real-time stock price prediction system by integrating the Yahoo Finance API and machine learning algorithms, executed on the Google Colab platform. This system allows for direct retrieval of stock market data from Yahoo Finance to analyze data patterns and generate more accurate stock price predictions. The methods used include collecting historical and real-time data from the Yahoo Finance API, data preprocessing, training models using Long Short Term Memory (LSTM), validating the model with K-Fold Cross Validation, and evaluating performance using various standard metrics. The development and implementation of the model are carried out on Google Colab. The results show that the LSTM model can provide high-accuracy stock price predictions. This system significantly contributes to improving stock price prediction accuracy and helps investors make better decisions based on real-time data
EKEKTIFITAS PENGGUNAAN METODE THINK-PAIR SHARE DAN SNOWBALL THROWING UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR ALJABAR LINEAR Yuniansyah; Yonhendri; Barovih, Guntoro
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 1 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i1.2908

Abstract

The purpose of this study is to find out how effective Think-Pair-Share (TPS) and snowball shooting learning methods are to improve students' motivation and their learning outcomes in Linear Algebra course at Palcomtech Institute of Technology and Business. A two-cycle Classroom Action Research (PTK) using planning, implementation, observation, and reflection. The subjects of this study were 22 students of S1 Information Systems class who have been working and facing various problems in their learning process. It was hoped that these two methods would allow students to more actively participate in the lessons and improve their understanding of the material being taught. The results showed that from cycle I to cycle II, the number of students who obtained a score of at least 81 increased significantly. TPS and Snowball throwing methods proved effective in improving students' motivation and their learning outcomes. This method can also be applied to other courses, especially those related to science and technology.
Co-Authors Ahmad Zulfan Guntoro Barovih, Guntoro Mhd Sandi Rais Mohd Iqbal Muhammmad Faiq Abdi Rezi Elsya Putra Yuniansyah