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All Journal Cakrawala Pendidikan Journal of Nonformal Education PSYMPATHIC Jurnal Psikohumanika Jurnal Pendidikan dan Konseling Bulletin of Counseling and Psychotherapy Journal of Social Science International Journal of Islamic Educational Psychology INSPIRA: Indonesian Journal of Psychological Research Ilomata International Journal of Social Science JURNAL ILMIAH GLOBAL EDUCATION Nusantara Journal of Behavioral and Social Science Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Journal of Social Science Journal of Management and Informatics Journal of Technology Informatics and Engineering Jurnal Ilmu Psikologi dan Kesehatan Kaizen: Jurnal Pengabdian Pada Masyarakat Journal Markcount Finance
Sitinjak, Charli
Universitas Esa Unggul
Religion Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Physics Public Health Social Sciences Other

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Unlocking the potential: Transformative applications of generative AI in East Kalimantan's educational landscape Sitinjak, Charli; Ober, Józef; Sakiewicz, Piotr
Jurnal Cakrawala Pendidikan Vol. 44 No. 3 (2025): Cakrawala Pendidikan (October 2025)
Publisher : LPMPP Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/cp.v44i3.70169

Abstract

AI systems like ChatGPT are rapidly changing education, giving teachers both new opportunities and new problems to deal with.  This study investigates ChatGPT's evolving importance in the educational environment of East Kalimantan, focusing on educators' and practitioners' perceptions of its advantages, constraints, and ethical considerations.  A qualitative design was used, incorporating semi-structured interviews with 15 participants (N=15), comprising teachers, administrators, and vocational instructors from various educational tiers.  Participants were intentionally recruited through professional networks to ensure a representation of various institutional contexts.  Data were gathered from March to May 2024 and examined through reflexive thematic analysis to discern the main themes and interpretive significances.  Strict adherence to ethical protocols was maintained, including informed consent, secrecy, and voluntary participation.  Nine themes emerged: Catalyst for Innovation, Enhancing Accessibility, Efficiency, and Teacher Support, Threat to Critical Thinking, Ethical Dilemmas, Digital Divide, Balancing Human Interaction, Depersonalization of Education, and Continuous Adaptation.  The results show that ChatGPT encourages personalized learning, language inclusion, and efficient teaching, but also raises ethical concerns and exacerbates digital inequalities.  Participants stressed the importance of teacher guidance, interpersonal connections, and institutional policies to ensure responsible use.  The study finds that for ChatGPT to work well, teachers must continue learning, there must be ethical governance, and the digital infrastructure must be fair.  This research, despite its regional limitations and reliance on self-reported data, offers significant insight for policymakers and educators addressing AI integration in evolving educational frameworks.
Enhancing Performance Using New Hybrid Intrusion Detection System Candra Supriadi; Charli Sitinjak; Fujiama Diapoldo Silalahi; Nia Dharma Pertiwi; Sigit Umar Anggono
Journal of Technology Informatics and Engineering Vol. 1 No. 2 (2022): August: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.134

Abstract

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.
RETRACTED: Advanced strategies for cognitive and emotional coping among high school students Sitinjak, Charli; Rakhmawati, Ellya; Almasitoh, Ummu Hany; Setianingtyas, Anna Febrianty
INSPIRA: Indonesian Journal of Psychological Research Vol 5 No 1 (2024): Vol. 5 No. 1 June 2024
Publisher : Institut Agama Islam Negeri Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/inspira.v5i1.8030

Abstract

This article has been retracted: please see INSPIRA: Indonesian Journal of Psychological Research Retraction, Withdrawal, & Correction (R-W-C) Policy (https://journal.iainlangsa.ac.id/index.php/inspira/rwc-policy). This article has been retracted at the request of the corresponding author. The corresponding author claimed the article had been submitted to another journal.
Psychological Challenges Faced by Young Workers in the Digital Era: A Systematic Literature Review in the Indonesian Context Sitinjak, Charli; Donatrin, Yodi; Kristiyani , Veronica; Ober, Józef
Psympathic : Jurnal Ilmiah Psikologi Vol. 12 No. 2 (2025): PSYMPATHIC
Publisher : Fakultas Psikologi, Universitas Islam Negeri (UIN) Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/psy.v12i2.45128

Abstract

The digital transformation of the modern workplace has reshaped the psychological landscape for young workers, especially Millennials and Generation Z, navigating Indonesia's evolving labour market. This study presents a systematic review of empirical literature examining the psychological challenges faced by young Indonesian workers in the digital era, focussing on core themes such as burnout, stress, quiet quitting, motivation, work-life balance, and coping strategies. Guided by the PRISMA 2020 protocol, 28 peer-reviewed studies published between 2020 and 2025 were selected from the Scopus, PubMed, Google Scholar and Garuda databases. The review identifies prevalent issues such as emotional exhaustion, job insecurity, and disengagement, while also highlighting adaptive responses including intrinsic motivation, digital self-efficacy, and culturally grounded coping mechanisms. The findings underscore the importance of supportive workplace environments, leadership quality, and digital competence in mitigating psychological distress. This review not only synthesises context-specific insights, but also provides a foundation for the development of targeted interventions and policy recommendations to improve mental well-being among Indonesia’s emerging digital workforce.
Financial Management: A System of Relations for Optimizing Enterprise Finances – a Review Charli Sitinjak; Anne Johanna; Buschhaus Avinash; Bevoor Bevoor
Journal Markcount Finance Vol. 1 No. 3 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jmf.v1i3.104

Abstract

Effective financial management is critical to the success of any organization. This review paper provides a comprehensive analysis of financial management as a network of interdependent processes that require coordinated action among investors, creditors, and managers. The paper examines the function of financial management within an organization and its role in achieving financial optimization. Drawing on extensive research, the review paper identifies the four pillars of efficient financial management: planning, budgeting, forecasting, and monitoring. It emphasizes the importance of open communication and coordinated action among all parties involved in financial decisions. By closely monitoring financial performance, financial management can guarantee that an organization is making the most of its available resources. The review paper also stresses the significance of strong leadership in financial management. Effective financial management requires skilled managers who can navigate the complex web of financial relationships within an organization. By analyzing key aspects of financial management, the review paper provides valuable insights into how organizations can optimize their financial management processes.
Pengaruh Tipe Kepribadian Openness to Experience dan Conscientiousness Terhadap Impulsive Buying Blind Box Pada Dewasa Awal Nikita Maheswari; Charli Sitinjak
Jurnal Ilmu Psikologi dan Kesehatan | E-ISSN : 3063-1467 Vol. 3 No. 2 (2026): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jipk.v3i2.2395

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh tipe kepribadian Openness to Experience dan Conscientiousness terhadap Impulsive Buying Blind Box pada dewasa awal. Fenomena pembelian Blind Box yang terus berkembang di Indonesia, terutama pada produk Pop Mart, menunjukkan pola pembelian impulsif yang diduga dipengaruhi oleh karakteristik kepribadian individu. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik analisis regresi linear berganda. Sampel penelitian berjumlah 385 responden dewasa awal berusia 18-25 tahun yang telah melakukan pembelian Blind Box minimal dua kali, dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui kuisioner daring menggunakan skala Big Five Inventory untuk mengukur Openness to Experience dan Conscientiousness, serta skala Impulsive Buying Tendency yang diadaptasi dari Verplanken dan Herabadi (2001). Hasil analisis menunjukkan bahwa Openness to Experience dan Conscientiousness secara simultan berpengaruh signifikan terhadap Impulsive Buying (F = 40,212; p < 0,001) dengan kontribusi sebesar 17,4% (R² = 0,174). Secara parsial, Openness to Experience berpengaruh positif dan signifikan (β = 0,328; p < 0,001), sedangkan Conscientiousness berpengaruh negatif dan signifikan (β = -0,305; p < 0,001). Temuan ini menunjukkan bahwa individu dengan keterbukaan tinggi terhadap pengalaman baru cenderung lebih impulsif dalam membeli Blind Box, sementara individu dengan tingkat kehati-hatian dan pengendalian diri yang tinggi cenderung lebih mampu menahan dorongan tersebut.
Pengaruh Frustrasi Berkendara terhadap Perilaku Agresif Berkendara pada Pengendara Motor yang Dimediasi oleh Stres terhadap Kemacetan Lalu Lintas di Kota Jakarta Muhammad Bintang Adriansyah; Charli Sitinjak
Jurnal Ilmu Psikologi dan Kesehatan | E-ISSN : 3063-1467 Vol. 3 No. 2 (2026): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jipk.v3i2.2404

Abstract

This study aimed to examine the effect of driving frustration on aggressive driving behavior among motorcycle riders in Jakarta, with traffic-congestion-related stress acting as a mediating variable. The study was motivated by the high level of traffic congestion in Jakarta, which affects riders’ psychological conditions, such as frustration and stress during driving. This research employed a quantitative approach with a causal research design using mediation analysis. The participants were 385 motorcycle riders aged 18–25 years who lived or carried out daily activities in Jakarta and were selected through purposive sampling. Data were collected using a driving frustration scale, a driving stress scale, and an aggressive driving behavior scale. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with WarpPLS software. The results indicated that driving frustration had a positive and significant effect on stress, stress had a positive and significant effect on aggressive driving behavior, while driving frustration did not have a significant direct effect on aggressive driving behavior. Furthermore, stress significantly mediated the effect of driving frustration on aggressive driving behavior. These findings suggest that frustration caused by traffic congestion first increases driving stress, which subsequently contributes to aggressive driving behavior.
Co-Authors Abdillah, Hafizh Zain Anna Febrianty Setianingtyas Anne Johanna Avinash, Buschhaus Bevoor Bevoor Bevoor, Bevoor Buschhaus Avinash Candra Supriadi Candra Supriadi Candra Supriadi Daniel Handoko Darwis Tamba Desi Maulia Donatrin, Yodi Dwi Hurriyati Ellya Rakhmawati Fauzi Rahman Fenny Nurhalyza Fujiama Diapoldo Silalahi Gibson Manalu Hafizh Zain Abdillah Husna, Muniratul Joana L. Saragih Johanna, Anne Kartinah Kartinah Kristiyani, Veronica Muhammad Bintang Adriansyah Mujidin, Mujidin Nia Dharma Pertiwi Nia Dharma Pertiwi Nikita Maheswari NURUL HIDAYAH Ober, Józef Peran Simanihuruk Ria Veronica Sinaga Rizki Yanti Shalsabilla Rosita Yuniati Sakiewicz, Piotr Setianingtyas, Anna Febrianty Sianipar, Suryati Mahdalena Sigit Umar Anggono Sigit Umar Anggono Silfania Oktaviani Srifianti, Srifianti Ummu Hany Almasitoh Ummu Hany Almasitoh Zainab Canu