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All Journal Techno.Com: Jurnal Teknologi Informasi 'ADALAH SALAM: Jurnal Sosial dan Budaya Syar-i Jurnal Cita Hukum JURNAL PENDIDIKAN TAMBUSAI Insight: Jurnal Ilmiah Psikologi Psikobuletin: Buletin Ilmiah Psikologi Jurnal Ilmu Komputer dan Sistem Informasi
Dana Riksa Buana
Universitas Mercu Buana
Religion Humanities Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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Korelasi Penggunaan Media Sosial dengan Kesehatan Mental melalui Exploratory Data Analysis Rahma, Intan Dwi; Kurnia Gusti Ayu; Buana, Dana Riksa
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.15024

Abstract

Media sosial telah menjadi bagian penting dalam kehidupan sehari-hari, namun penggunaannya yang tidak terkendali dapat memengaruhi kesehatan mental. Penelitian ini bertujuan untuk menganalisis hubungan antara durasi dan pola penggunaan media sosial dengan kesehatan mental pengguna usia 18–35 tahun. Metode yang digunakan adalah Exploratory Data Analysis (EDA) terhadap data 281 responden yang diperoleh melalui survei daring, dengan fokus pada durasi penggunaan, jenis platform, konten yang dikonsumsi, respons emosional pasca-penggunaan, pengalaman cyberbullying, serta karakteristik demografis. Hasil menunjukkan bahwa mayoritas responden menggunakan media sosial 6–9 jam per hari, namun korelasi antara durasi dan tekanan mental hanya negatif lemah (r = –0,24). Dampak psikologis lebih banyak dipengaruhi oleh kualitas pengalaman digital, terutama karakteristik platform, jenis konten, dan pengalaman cyberbullying. TikTok memiliki korelasi negatif terbesar (r = –0,25), sedangkan pengguna yang mengalami cyberbullying menunjukkan tekanan mental lebih tinggi. Secara demografis, Millennial dan perempuan menunjukkan tingkat tekanan mental lebih tinggi dibandingkan Gen-Z dan laki-laki. Kesimpulannya, media sosial cenderung memperkuat kondisi psikologis yang telah dimiliki pengguna, sehingga strategi digital well-being perlu difokuskan pada keamanan interaksi dan regulasi emosi daripada pembatasan durasi penggunaan. Hasil penelitian ini dapat menjadi dasar untuk penggunaan media sosial yang lebih sehat dan bijak. Kata kunci: Exploratory Data Analysis; kesehatan mental; media sosial; visualisasi data
Resilience as a shield: Moderating the impact of adverse childhood experiences on emotion regulation in Jakarta’s Generation Z Dearly; Liviana; Dana Riksa Buana
Insight: Jurnal Ilmiah Psikologi Vol. 27 No. 2 (2025): AUGUST 2025
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/psikologi.v27i2.4478

Abstract

Generation Z is growing up amid rapid globalization and digital transformation, conditions that shape their psychological well-being and emotion regulation abilities. Nevertheless, Adverse Childhood Experiences (ACEs) remain a significant risk factor. This study aims to examine the moderating role of resilience in the relationship between ACEs and emotion regulation among Generation Z in Jakarta. A total of 227 participants were recruited through purposive sampling, using the ACE-IQ, DERS-SF, and CD-RISC as instruments. Data were analyzed with Moderated Regression Analysis (MRA). The results demonstrate that resilience significantly weakens the negative impact of ACEs on emotion regulation. These findings underscore the importance of resilience-based interventions and open further discussion on practical strategies to enhance adaptive capacity and emotional well-being in young adults who have experienced childhood adversity. Keywords: Adverse childhood experiences, emotion regulation, resilience, Generation Z.
Paparan Dampak Teori Konspirasi Melalui Media Digital Terhadap Political Trust dan Political Efficacy pada Mahasiswa Pemilih Pemula Gen-Z Dana Riksa Buana; Dina Syakina; Regina Navira Pratiwi
Psikobuletin:Buletin Ilmiah Psikologi Vol 7, No 2 (2026): Psikobuletin: Buletin Ilmiah Psikologi
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/pib.v7i2.30029

Abstract

Abstract. The role of gen-z novice college student voters in Indonesia's 2024 democratic year is crucial, as they can determine the direction of national politics. As a generation growing up with massive exposure to information through digital media, especially conspiracy theories that tend to be of interest, this is a unique characteristic. This study aims to determine whether exposure to conspiracy theories through digital media can affect the political trust and political efficacy of gen-z novice voters as the main predisposition in determining their political participation, which has an impact on the dynamics of politics. This study uses a quasi-experimental method with a comparison of two treatments and a posttest only control design. The research participants (N=108) were divided into 3 groups, namely experimental group 1 (intervention: video) (n=38), experimental group 2 (intervention: article) (n=36), and control group (n=34). The results of hypothesis testing using one-way ANOVA showed that there was a significant difference in the political trust variable (F = 7.613, p < 0.01) with an effect size (η² = 0.127), while political efficacy showed no significant difference (F = 0.118, p = 0.889). This shows that exposure to conspiracy theories, both through videos and articles in digital media, can only reduce political trust, but not political efficacy, which may have an impact on the tendency of students to carry out action movements in national politics, which needs to be addressed wisely.Abstrak. Peran mahasiswa pemilih pemula gen-z pada tahun demokrasi 2024 di Indonesia merupakan hal yang vital, karena mereka dapat menentukan arah perpolitikan nasional. Sebagai generasi yang tumbuh dengan paparan informasi yang masif dari media digital khususnya teori konspirasi yang cenderung diminati, ini menjadi karakteristik yang unik. Penelitian ini bertujuan untuk mengetahui apakah paparan teori konspirasi melalui media digital dapat memengaruhi political trust dan political efficacy mahasiswa pemilih pemula gen-z sebagai predisposisi utama dalam menentukan partisipasi politik mereka yang berimbas pada dinamika perpolitikan. Studi ini menggunakan metode quasi eksperimental dengan Comparing Two Treatments and a Control post-test only design. Partisipan penelitian (N=108) dibagi menjadi 3 kelompok, yaitu kelompok eksperimen 1 (intervensi: video) (n=38), kelompok eksperimen 2 (intervensi: artikel) (n=36), dan kelompok kontrol (n=34). Hasil uji hipotesis dengan menggunakan one-way anova, menunjukkan bahwa dalam variabel political trust  terdapat perbedaan yang signifikan (F = 7.613, p < 0.01) dengan effect size (η² = 0.127), sementara political efficacy terlihat tidak adanya perbedaan yang signifikan (F = 0.118, p = 0.889). Hal ini menunjukkan bahwa paparan teori konspirasi baik melalui video mamupun artikel di media digital hanya dapat menurunkan political trust namun tidak dengan political efficacy yang mana dapat berimbas pada kecenderungan mahasiswa untuk melakukan gerakan aksi dalam perpolitikan nasional yang harus disikapi dengan bijak.
Analisis Kejelasan Tujuan Pendidikan Remaja Berbasis Machine Learning dan Data Digital Psikometrik Dwi Wulandari Sari; Kurnia Gusti Ayu; Dana Riksa Buana; Hariesa Budi Prabowo; Muhammad Irvan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.351

Abstract

This study aims to analyze adolescents’ educational goal clarity based on the integration of psychometric and digital activity data using a machine learning approach. The main problem addressed in this study is the limited utilization of digital and psychological data to understand adolescents’ educational goal characteristics. The methodology includes data preprocessing, clustering analysis using the K-Means algorithm to identify hidden patterns, and classification using Logistic Regression and Decision Tree to build predictive models. The results show that respondents are grouped into three main clusters: low, medium, and high, reflecting different levels of digital engagement and educational goal clarity. Using an 80:20 data split, the results show that on the test set (20%), Logistic Regression achieved the best performance with an accuracy of 0.95 and ROC-AUC of 0.996, while Decision Tree provided more interpretable patterns with an accuracy of 0.80. The most influential variables include frequency of information searching, duration of accessing educational content, and clustering results. The study concludes that productive digital behavior significantly contributes to adolescents’ educational goal clarity, and the hybrid machine learning approach is effective in combining pattern analysis and prediction.
Co-Authors Abdulaev Ibragimgadzhi Magomedovich Amy Maulana Dearly Dina Syakina Dwi Wulandari Sari Hariesa Budi Prabowo Indah Pratiwi Tanjung Kurnia Gusti Ayu Kurnia Gusti Ayu Liviana Lukyanov, Oleg Valeryevich Magomedovich, Abdulaev Ibragimgadzhi Maulana, Amy Muhammad Irvan Nurwijayanti Oleg Valeryevich Lukyanov Pratiwi, Regina Navira Rahma, Intan Dwi Refly Setiawan Regina Navira Pratiwi