Article Per Year (5 Year)
p-Index From 2021 - 2026
5.139
P-Index
This Author published in this journals
All Journal Jurnal Khatulistiwa Informatika JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA JURNAL PENDIDIKAN TAMBUSAI Jurnal Informatika Kaputama (JIK) Community Development Journal: Jurnal Pengabdian Masyarakat ABSYARA: Jurnal Pengabdian Pada Masyarakat JUSTIAN - Jurnal Sistem Informasi Akuntansi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknologi Sistem Informasi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Mafaza : Jurnal Pengabdian Masyarakat Innovative: Journal Of Social Science Research Jurnal Teknologi Informasi Mura Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Al-Zayn: Jurnal Ilmu Sosial & Hukum Journal of Computer Science and Information Technology Journal of Data Analytics, Information, and Computer Science (JDAICS) Journal of Development Economics and Digitalization, Tourism Economics (JDEDTE) Indonesian Community Service Journal of Computer Science (IndoComs)
Wanty Eka Jayanti
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
ANALISIS PENGARUH MEDIA SOSIAL TERHADAP KESEHATAN MENTAL REMAJA  Wanty Eka Jayanti; Sahrul Bariyah; ALBERTUS BELO; Muhammad Rizqi Pratama
Journal of Data Analytics, Information, and Computer Science Vol. 3 No. 2 (2026): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v3i2.2458

Abstract

Fenomena maraknya penggunaan media sosial di kalangan remaja menimbulkan kekhawatiran terhadap dampaknya pada kesehatan mental, seperti kecemasan, depresi, dan perasaan kesepian. Penelitian ini bertujuan untuk menganalisis pengaruh media sosial terhadap kesehatan mental remaja, baik dari sisi positif maupun negatif, serta mengidentifikasi faktor-faktor yang memperkuat atau melemahkan pengaruh tersebut. Metode yang digunakan adalah studi literatur dengan pendekatan kualitatif, melalui telaah pustaka dari berbagai jurnal dan publikasi ilmiah terbitan tahun 2020–2025. Hasil penelitian menunjukkan bahwa media sosial dapat memberikan manfaat berupa dukungan emosional, peningkatan rasa percaya diri, dan akses informasi positif jika digunakan secara bijak. Namun, penggunaan berlebihan, paparan konten negatif, serta kurangnya literasi digital dan pengawasan orang tua dapat meningkatkan risiko kecemasan, depresi, dan masalah kesehatan mental lainnya. Temuan ini menegaskan pentingnya literasi digital dan keterlibatan orang tua dalam mendampingi aktivitas media sosial remaja untuk mendorong pola penggunaan yang sehat dan bertanggung jawab.
Visualisasi Prediksi Harga Saham Menggunakan Model Long Short-Term Memory (LSTM) Windi Irmayani; Wanty Eka Jayanti
Jurnal Sistem Informasi Akuntansi Vol 6 No 1 (2025): Periode Maret 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i1.8107

Abstract

The stock market is a dynamic investment instrument affected by various factors, making it difficult to analyze. Traditional methods such as technical and fundamental analysis are often less accurate in capturing non-linear patterns and complex historical data. Deep learning algorithms, especially Long Short-Term Memory (LSTM), are beginning to be used to improve the accuracy of stock price predictions due to their ability to handle time series data and retain long-term information. This study focuses on the stock price prediction of Apple Inc., a leading technology company that reflects global industry trends. LSTM is used to overcome the limitations of traditional methods and provide a more accurate prediction model, especially in capturing stock price fluctuations due to new product launches, financial reports, and regulatory changes.This study aims to contribute to academics and market players in making more accurate prediction-based investment decisions, while expanding insights into the application of deep learning in the stock market. The result, it appears that the overall data trend is moving upwards, although there are some local (minor) declines.
A COMPARATIVE STUDY BETWEEN ONLINE AND FACE-TO-FACE LEARNING METHODS ON STUDENT LEARNING OUTCOMES Saskia Renata; Debi Handika; Rai Markus Panamuan; Wanty Eka Jayanti
Journal of Computer Science and Information Technology Vol. 2 No. 4 (2025): September
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v2i4.2613

Abstract

The development of digital technology has had a significant impact on the behavior of the younger generation, one of which is the increasing involvement in online gambling activities. This study aims to examine the impact of online gambling on social interaction and emotional stability of the younger generation. The method used is a quantitative study through data collection techniques using questionnaires, this study aims at children aged 16-26 years who are active or have been involved in online gambling. The results of the study show that involvement in online gambling causes a decrease in the quality of social interaction, such as withdrawing from the social environment, decreasing communication skills, and increasing conflict in interpersonal relationships. In addition, there were disturbances in emotional stability in the form of anxiety, excessive stress, uncontrolled anger, and symptoms of depression. Dependence on online gambling also interferes with cognitive function and decision-making, which has a negative impact on the psychological well-being of the younger generation. Therefore, preventive and curative efforts are needed from various parties, including families, educational institutions, and the government, to reduce the negative impacts of this phenomenon. Keywords: online gambling, social interaction, emotional stability, young generation
Co-Authors Abertho, Karlos Ade Hendini Agung Sasongko Alberd, Alberd ALBERTUS BELO Angel Aprillia Prasela Asarias Konisius Aura Unga Bella Ghia Dimmera Berdi, Antonius Debi Handika Dedi Saputra Della Riska Desi Desi Diah Setyorini Diah Setyorini Dwinata, Evan Dwitanto, Joko Eka Jayanti, Wanty Erfanda, Julius Bernardino Eva Meilinda Fikri, Al firmansyah, Yoki Gustho, Agustinus Handi Akbar Imron, Dimas Fawaid Indra Prasetya Jubaidah Kalis, Maria Christiana Iman Kalkausar, Rafli Kalisiano Kiky Fitriana Latifah Latifah Mardiansyah, Dandi Marsel, Marsel Maulana Yuliansyah Melysa Riyanda Putri Melysa Riyanda Putri Mirzanadi Muhammad Afif Muhammad Dzaki Fadhli Muhammad Rizqi Pratama Muhammad Sony Maulana Mujab, Dominikus Mustaruddin Nana Fahriza Nurfia Oktaviani Syamsiah Nurmalasari Oktavia, Rifka Olek, Olek Permana, Muhammad Sidiq Prasetyo, Rio Aji Purnasari, Pebria Dheni Rai Markus Panamuan Rifka Oktavia Risdiansyah, Deni Sahrul Bariyah Sapariah Saskia Renata Weishky Steven Dharmawan Windi Irmayani Yosua Damas Sadewo Yulianto Zam Zam, Ari Mokti Zulkifli, Syarif