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All Journal Jurnal Pendidikan Vokasi Jurnal Teknologi Pendidikan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Review Pendidikan dan Pengajaran (JRPP) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Vokasi Informatika (JAVIT) Jurnal Abdimas Bina Bangsa Journal Corner of Education, Linguistics, and Literature Jurnal Kajian Ilmu Pendidikan (JKIP) TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Journal of Artificial Intelligence and Engineering Applications (JAIEA) QISTINA: Jurnal Multidisiplin Indonesia Indonesian Research Journal on Education Scientica: Jurnal Ilmiah Sains dan Teknologi The Indonesian Journal of Computer Science Journal of Management Education Social Sciences Information and Religion Journal of Citizen Research and Development Journal of Education Transportation and Business SIMAS JURNAL PENGABDIAN MASYARAKAT
SABRINA, ELSA
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Tinjauan Literatur Sistematis (2019–2025) Kinerja Decision Tree dan Neural Network (Deep Learning) serta Perbandingannya dengan Naive Bayes dan SVM Syahputra, Fahmy; Sabrina, Elsa; Br Tarigan, Febrinata Silvianna; Sarumaha, Matius Irvan; Rahmadhani, Alfi; Simanjorang, Sandha Calista; Gorat, Loveyanni Marito Benedikta
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13429

Abstract

This study presents a Systematic Literature Review (2019–2025) comparing the performance of Decision Tree and Neural Network (Deep Learning) models, alongside their relative performance against Naive Bayes and Support Vector Machine (SVM). The review synthesizes empirical findings across multiple application domains—including healthcare, education, industry, and finance—focusing on commonly reported classification metrics such as accuracy, precision, recall, and F1-score. The synthesis indicates that Decision Trees are frequently preferred for structured/tabular data due to their high interpretability and transparent decision rules, which are valuable for accountable decision-making. In contrast, Neural Networks/Deep Learning tend to outperform on unstructured data (e.g., medical images and text) and complex non-linear patterns, albeit often with reduced explainability. In several studies, Naive Bayes remains competitive as a lightweight baseline, while SVM continues to be effective for high-dimensional feature spaces and specific classification settings. Overall, the review highlights that algorithm selection should be driven by data characteristics, problem complexity, interpretability requirements, and computational constraints, since no single algorithm consistently dominates across all scenarios.
Dampak AI Generatif (LLMS) terhadap Keterampilan Menulis dan Integritas Akademik: Tinjauan Literatur Sistematis Syahputra, Fahmy; Sabrina, Elsa; Barus, Tirta Yasa Agung; Farishi, M Farid Al; Adwiyah, Rabiatul; Ramadani, Nadila; Jauharah, Jauharah
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13431

Abstract

This study aims to examine the impact of Generative AI (LLMs), such as ChatGPT, on students' writing skills and academic integrity through a Systematic Literature Review (SLR) of 15 relevant articles. The synthesis results reveal a significant duality effect, creating a dilemma between efficiency and quality. On one hand, LLMs are proven to be effective assistive co-pilots, which clearly enhance the technical efficiency of writing, accelerate the research workflow, and improve text cohesion and precision. However, this convenience triggers a substance quality crisis because students experience cognitive over-reliance, leading to Academic Deskilling the loss of the ability to independently practice critical reasoning and idea synthesis. This dependency is exacerbated by blind reliance on AI output and vulnerability to hallucinations that threaten the originality of the work. The consequence is a shift in the form of misconduct to the sophisticated practice of prompt engineering. To address these challenges, the literature emphasizes the necessity of pedagogical redesign and assessment redesign, which must focus on establishing ethics that ensure full transparency and accountability from students, and designing tasks that demand personal synthesis and reflective thinking.
Literature Review: Transitioning usage from BFS and DFS to Heuristic Search in the Modern AI Era Syahputra, Fahmy; Sabrina, Elsa; Sahendra Chan, M Fajar; Fali, Rifki; Fattah, Muhammad; Hendratmo, Joko; Ardiansyah, Fadhil
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1856

Abstract

Uninformed search algorithms, specifically Breadth-First Search (BFS) and Depth-First Search (DFS), encounter significant scalability limitations when addressing complex problem spaces in modern Artificial Intelligence (AI) ecosystems. This study investigates the paradigm shift toward intelligent heuristic algorithms through a systematic literature review and comparative analysis of 24 recent academic sources. The evaluation focuses on three primary domains: logical problem solving, robotic navigation, and data infrastructure management. Results demonstrate that heuristic methods, such as A-Star and hybrid variants like PrunedBFS, offer superior time efficiency and memory optimization for autonomous navigation and massive computing tasks. Nevertheless, classic algorithms retain functional relevance for specific scenarios requiring exhaustive exploration. Furthermore, this study reveals that algorithmic evolution has fundamentally transformed digital infrastructure, driving a shift from Search Engine Optimization (SEO) to Answer Engine Optimization (AEO) and necessitating adaptive cybersecurity architectures. The research concludes that the future of AI development relies not on substitution, but on a collaborative synthesis integrating the robustness of classic methods with the adaptability of modern heuristics.
The Effect of the Problem-Based Learning Model on 21st Century Student Skills: A Meta-Analysis Sisrayanti; Maksum, Hasan; Waskito; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3849

Abstract

This study aims to investigate the impact of Problem Based Learning (PBL) on the development of 4C skills (Critical Thinking, Creativity, Collaboration, Communication) among students. Through meta-analysis, data from 20 national and international journal articles published between 2018 and 2023 were analyzed. Findings indicate that the consistent use of PBL yields a highly significant effect, with an average effect size of 1.72. These results affirm the effectiveness of PBL in enhancing students' 4C skills, underscoring the importance of this instructional approach in the context of 21st-century education, which emphasizes critical thinking, creativity, collaboration, and communication skills. The practical implications of this study highlight the necessity of integrating PBL models in instructional design to facilitate the development of 21st-century skills among students. Further research could delve into specific aspects of PBL usage and its impacts on student learning outcomes and academic achievement.
The Effect of Blended Learning on Students' Creative Thinking Ability: A Meta-Analysis Sisrayanti; Ambiyar; Wulansari, Rizky Ema; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3866

Abstract

This study aims to investigate the influence of technology-based learning, particularly blended learning, on students' creative thinking abilities. Through quantitative analysis, data comprising sample size, mean, and standard deviation extracted from Google Scholar indexed journals were examined. Employing a group contrast analysis design with a random effects model, effect sizes were corrected using JASP software. The analysis revealed a summary effect of 6.74 with a confidence interval ranging from 4.68 to 8.80, indicating a significant difference between groups utilizing blended learning and those employing conventional methods. Notably, students engaged in blended learning exhibited superior creative thinking skills compared to their counterparts. These findings underscore the pressing need to integrate blended learning methodologies to enhance the learning process effectively.
Dampak Kontrol Fokus, Keberanian, Keterbukaan terhadap Kinerja Akademik Siswa Implikasi bagi Dunia Pendidikan Teknik Sisrayanti; Ambiyar; Lapisa, Remon; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4060

Abstract

Education is a crucial pillar in shaping individuals and organizational success. The interconnectedness between them is a primary focus in enhancing the quality of education and human resource development. This research examines the relationship between psychological factors such as Kontrol Fokus, Keberanian, and openness with Kinerja Akademik Siswa. In an ever-evolving era, a deeper understanding of these psychological factors is essential. It is hoped that this study provides insight into how Kontrol Fokus aids in task management, the role of Keberanian in facing challenges, and how openness stimulates innovative thinking and adaptation, thereby facilitating shared goals. The research's conclusion emphasizes the importance of close collaboration in education to tackle complex challenges and achieve future success. Understanding individual psychology is also key to optimizing human potential and organizational goals attainment.
Co-Authors Abdurrahman, Umar Adwiyah, Rabiatul Afriansyah Pulungan, Wira Agustianingsih, Tri Al Husna, Saiba Alhadi, M Raflie Alhadi, M.Raflie Amalia, Mazaya Amanda, Nayla Ambiyar, Ambiyar Amirhud Dalimunthe Ananda, Muhammad Rendi Andini, Syasya Angelina Putri Sembiring, Dheany Anggraini, Ade Annisa, Selly Ardiansyah, Fadhil Ardiansyah, Muhammad Fadhill Armando, Gali Asisah, Fatma Asmara, Tri Aulia Simangunsong, Marta Barus, Michael Steven F. Barus, Tirta Yasa Agung Br Tarigan, Febrinata Silvianna Chan, M Fajar Sahendra Dewi, Yasmin Aulia Elsadin, Ratih Tri Ernawati Ernawati Fakhri Lubis, Muhammad Fali, Rifki Farishi, M Farid Al Fattah, Muhammad Fikri, Diyaul Fitri, Destiana Gaol, Liska Yuni Br Lumban Ginting, Leo Elfrata Gorat, Loveyanni Marito Benedikta Harahap, Ihsan Heldi Harahap, Zulkaidah Hasan Maksum Hawari, Mhd Fadhlan Hawari, Muhammad Fadhlan Hendra Hidayat Hendratmo, Joko Heskia, Carlo Hutagalung, Namira Rahmadina Hutahean, Harvei Desmon Hutajulu, Olnes Yosefa Hutauruk, Karel Rolian Ilham, Muhammad Naufal Ingtyas , Fatma Tresno Ingtyas, Fatma Tresno Irfanny, Riza Jauharah, Jauharah Khojir Lubis, Khodijah May Nuri Lubis, Muhammad Fakhri Manurung, Marchell Gabriel Matondang, Ishaq Maya Sari Mediansyah, Teguh Arif Mendoza, Muhammad Dominique Muhammad Anwar Muhammad Ashari Munawwar, Muhammad Nababan, Leoni Try Oxana Nainggolan, Sindi Judiati Nasution, Aulia Rivansy Nasution, Henny Puspa Hendrani Nasution, Romadon Nasution, Willy Oktaviano Yehezkiel Naufal Ilham, Muhammad Nurrahma, Suci Pangaribuan, Samuel Jonathan Pardede, Rachel Christa Masniari Parhehean Tua, Sarwedi Perangin-Angin, Yosa Steven Permata, Sahly Na’ila Pohan, Ahmad Rizal Padana Pradana, Raflie Sultan Pratama, Saras Putri, Desly Dwiyana Putri, Safira Nazwa Rahelta, Christina Elseria Rahelta, Cristina Elseria Rahmadhani, Alfi Ramadani, Nadila Ramadhani Pasi, Anggie Rambe, Rizkina Ramadhani Remon Lapisa Reni Rahmadani Rosma Siregar Saari, Erni Marlina Sahendra Chan, M Fajar Salsabila, Azura Sakhi Saragi, Frans Jhonatan Sari, Ressy Dwitias Sarumaha, Matius Irvan Sembiring, Dheany Angelina Putri Shafira, Amanda Siagian, Martino Bijeloys Siahaan, Erika Togito Siboro, Sari Agustina Siburian, Joy Sihombing, Christian Johansen silaban, Silpia Silalahi, Yohanes Febrian Silitonga, Alfredo Alpansa Simangunsong, Marta Aulia Simanjorang, Sandha Calista Simanjuntak, Jeannete Claudia Stefany Simanjuntak, Nadia Costarika Simbolon, Angga Baginda Sinaga, Abel Frans Sinaga, Novi Novanni Sirait, Steven Sisrayanti Sitepu, Filza Kirani Br Sitepu, Jeremia Sitinjak, Reyvaldo Gilbert Sitorus, Andika Situmorang, Alvin Evraim Situmorang, Gaudensius J.A Syafaat, Muhammad Yoghi Syah, Razha Jamsik Syahbila, Azzahra Syahputra, Fahmy Togito Siahaan, Erika Tresno Ingtyas, Fatma Ulwi, Muhammad Zaki Waskito Wulandari, Ririn Fairuz Wulansari, Rizky Ema Yeka Hendriyani Yunansyah Siregar, Wal Zaki Ulwi, Muhammad Zulfa, Zaid Zaidan