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All Journal Jurnal Teknologi Pendidikan JURNAL PENGABDIAN KEPADA MASYARAKAT KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Review Pendidikan dan Pengajaran (JRPP) JATI (Jurnal Mahasiswa Teknik Informatika) INFOKUM MEANS (Media Informasi Analisa dan Sistem) Journal Corner of Education, Linguistics, and Literature JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Mudabbir: Journal Research and Education Studies Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Masyarakat Indonesia QISTINA: Jurnal Multidisiplin Indonesia Indonesian Research Journal on Education JS (Jurnal Sekolah) Scientica: Jurnal Ilmiah Sains dan Teknologi Kohesi: Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Management Education Social Sciences Information and Religion Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Journal of Citizen Research and Development Journal of Education Transportation and Business AR-RUMMAN: Journal of Education and Learning Evaluation
Syahputra, Fahmy
Fakultas Teknik, Universitas Negeri Medan, Medan, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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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.
Influence of AI Technology on the Development of Critical Thinking Skills in Education Fahmy Syahputra; Elsa Sabrina; Alya Rahmi; Ariyantika Br Ginting; Hanifah Mardhiyah; Hutri Ami; Laili Tanzila
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.v5i2.1891

Abstract

The development of Artificial Intelligence (AI) technology has brought significant changes to the educational process, especially in supporting the development of critical thinking skills in students. This study uses a qualitative approach with a systematic literature review method to analyze various findings regarding the influence of AI in education. The results of the study show that AI has the potential to improve critical thinking skills through the provision of analytical stimuli, adaptive feedback, and the facilitation of active learning that encourages reflection, evaluation, and data-based argumentation. However, excessive use of AI or use without teacher guidance can lead to dependence, reduce creativity, and weaken students' evaluative and independent thinking skills. Therefore, the integration of AI should be balanced with active learning strategies, digital literacy, and pedagogical guidance so that this technology functions as a cognitive partner that strengthens critical thinking processes, rather than as a substitute for students' reasoning.
Implementasi Sistem Pembangkit Listrik Tenaga Surya Di Taman Baca Masyarakat Istiqomah Suryanto, Eka Dodi; Affandi, Marwan; Syahputra, Fahmy; Elvana, Ayu; Harahap, Muchsin
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 03 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i03.318

Abstract

This activity describes the planning, installation, and evaluation of the implementation of a Solar Power Generation System (PLTS) at the Istiqomah Community Reading Park, Terjun Village, Medan Marelan District. The objectives of the activity are (1) to provide a reliable independent power supply for lighting and auxiliary learning devices at the reading park, (2) to increase the managers’ capabilities in operating and maintaining the PLTS, and (3) to assess the technical and social sustainability impacts after installation. Methods used include an energy needs and peak load survey, design of an off-grid system based on the survey results, installation of main components (PV panels, controller, batteries, inverter), and operational and maintenance training for the reading park managers. Evaluation was conducted through measurements of energy availability (hours of lighting operation), reduction in consumption from the PLN grid (kWh), and user satisfaction questionnaires. Based on the needs survey, the reading park’s electricity use is mostly allocated to lighting, fans, and computer operation. Results show that the installed PLTS successfully supplied 95% of the reading park’s daily electricity needs, directly resulting in monthly electricity savings of up to Rp 250.000,00. The results indicate that the designed PLTS meets lighting and light electronic device needs during the reading park’s operating hours, reduces dependence on external supply, and increases community participation in literacy activities, making it an effective strategy for achieving energy independence.
PENGUATAN LITERASI SAINS DENGAN AUGMENTED REALITY BERBASIS ETNOSAINS UNTUK MEWUJUDKAN GENERASI UNGGUL DI SDN 101749 KLUMPANG Rozi, Fahrur; Simatupang, Halim; Syahputra, Fahmy; Abda’u Ansya, Yusron
JS (JURNAL SEKOLAH) Vol. 10 No. 2 (2026): MARET 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/vf96t015

Abstract

Abstract: This Community Service activity aims to improve the quality of science learning at SDN 101749 Klumpang thru the integration of Augmented Reality (AR) technology and ethnoscience values. The partner for this activity is SDN 101749 Klumpang, which serves as the elementary school partner for developing learning innovation. The implementation method includes five main stages: socialization, training, technology application, mentoring, and evaluation. The results of the activity show a significant improvement in students' science literacy, with the following pretest-posttest average scores: science concept understanding increased from 56 to 88 (+32), ethnoscience analysis from 56 to 84 (+28), and observation skills from 56 to 86 (+30), resulting in an overall average increase of 30%. Additionally, there was an improvement in teachers' competence in integrating AR and local wisdom into learning. With the support of ongoing training and mentoring, this program demonstrates that collaboration between technology and local culture can create science learning that is interactive, contextual, and relevant to the educational challenges of the 21st century.   Keyword: Science Literacy, Augmented Reality, Ethnoscience, Elementary School Abstrak: Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kualitas pembelajaran sains di SDN 101749 Klumpang melalui integrasi teknologi Augmented Reality (AR) dan nilai-nilai etnosains. Mitra kegiatan ini adalah SDN 101749 Klumpang sebagai sekolah dasar mitra pengembangan inovasi pembelajaran. Metode pelaksanaan meliputi lima tahap utama, yaitu sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan peningkatan signifikan pada literasi sains siswa, dengan nilai rata-rata pretest–posttest sebagai berikut: pemahaman konsep sains meningkat dari 56 menjadi 88 (+32), analisis etnosains dari 56 menjadi 84 (+28), dan keterampilan observasi dari 56 menjadi 86 (+30), sehingga rata-rata keseluruhan meningkat sebesar 30%. Selain itu, terjadi peningkatan kompetensi guru dalam mengintegrasikan AR dan kearifan lokal ke dalam pembelajaran. Dengan dukungan pelatihan dan pendampingan berkelanjutan, program ini membuktikan bahwa kolaborasi antara teknologi dan budaya lokal mampu menciptakan pembelajaran sains yang interaktif, kontekstual, dan relevan dengan tantangan pendidikan abad ke-21. Kata Kunci: Literasi Sains, Augmented Reality, Etnosains, Sekolah Dasar
Co-Authors -, Basyiah -, Basyiah Abdurrahman, Umar Abel Sinaga Adhitya, Wisnu Rayhan Adi Sutopo Adwiyah, Rabiatul Afandi Yusuf Lubis Affandi, Marwan Afriansyah Pulungan, Wira Al Farishi, M Farid Al Husna, Saiba Aldy Primanda Barus Alhadi, M.Raflie Alya Rahmi Amalia, Mazaya Amanda, Nayla Ami, Hutri Amirhud Dalimunthe Ananda, Muhammad Rendi Angelina Putri Sembiring, Dheany Anggraini, Ade Anjelita Ardiansyah, Fadhil Ardiansyah, Muhammad Fadhill Arif Rahman Ariyantika Br Ginting Armando, Gali Artiani Zebua Asisah, Fatma Atan Fices Barus Aulia Simangunsong, Marta Barus, Michael Steven F. Barus, Tirta Yasa Agung Br Tarigan, Febrinata Silvianna Calista, Sandha Chan, M Fajar Sahendra Debora Cindy Purba Dewi, Nora Ronita Diah Fadilillah Dwi Febrina Echon Haqnizo Eka Dodi Suryanto Eliasta Agustinus Sebayang Elsa Sabrina Elsa Sabrina Elsadin, Ratih Tri Elvana, Ayu ELVI MAILANI Fahrur Rozi Fakhri Lubis, Muhammad Fali, Rifki Farishi, M Farid Al Fattah, M Fattah, Muhammad Faturrahman, M Nadhif Fauzan Fachruzi Febiola Simatupang Fikri, Diyaul Fitri, Destiana Gali Armando Gaol, Liska Yuni Br Lumban Ghaitsa Zahira Lubis Ginting, Ariyantika Br Ginting, Leo Elfrata Gorat, Loveyanni Marito Benedikta Grace Roni Anuar Lase Guidio Leonarde Ginting Halim Simatupang Hanifah Mardhiyah Harahap, Ihsan Heldi Harahap, Zulkaidah Harun Sitompul Hawari, Mhd Fadhlan Hawari, Muhammad Fadhlan Hendratmo, Joko Heskia, Carlo Hutagalung, Namira Rahmadina Hutahean, Harvei Desmon Hutauruk, Karel Rolian Hutri Ami Imam F Hutasuhut Imanta Sianturi Ira Gusdhini Harahap Irfanny, Riza Jauharah, Jauharah Jesica Aime Siahaan Laili Tanzila Lubis, Azmi Rizki Lubis, Khodijah May Nuri Lubis, Muhammad Fakhri Manurung, Marchell Gabriel Manurung, Ricardo Mardhiyah, Hanifah Maria Niscaya Ndruru Maulana, Bagoes Maya Sari Mediansyah, Teguh Arif Monika Putri Puspita Siagian Muchsin Harahap Muhammad Bahrul Ilmi, Muhammad Bahrul MUHAMMAD ILHAM Munawwar, Muhammad Nababan, Leoni Try Oxana Naomi Pranatasyah Nasution, Aulia Rivansy Nasution, Henny Puspa Hendrani Nasution, Romadon Nasution, Willy Oktaviano Yehezkiel Naufal Ilham, Muhammad Nazwa, Safira Nurrahma, Suci Otniel Manurung Pangaribuan, Samuel Jonathan Pardede, Rachel Christa Masniari Parhehean Tua, Sarwedi Perangin-Angin, Yosa Steven Perdana, Nugraha Aditama Putra Permata, Sahly Na’ila Pinkan Ramadhani Pohan, Ahmad Rizal Padana Pradana, Raflie Sultan Pratama, Saras Putri, Safira Nazwa Putri, Tansa Trisna Astono Raden Muhammad Fathur Rahman Rafael Owen Kevin Nainggolan Raffi Hidayat Rafly Adhitiya Wardana Rahelta, Christina Elseria Rahelta, Cristina Elseria Rahmadhani, Alfi Rahmansyah Angga Saputra Rahmi Isnaini Rahmi, Alya Raisa Nadrah Shafira Hia Ramadani, Nadila Rambe, Rizkina Ramadhani Ririn Handayani Nst Rivany Virenzia Rizky Abimayu Utama Tanjung Rosnelli SABRINA, ELSA Sahendra Chan, M Fajar Salima, Khofifah Qalbun Salsabila, Azura Sakhi Sandy Sanjaya S Saragi, Frans Jhonatan Sari, Angereiny Citra Sarumaha, Matius Irvan Selvia Amanda Kayla Sembiring, Dheany Angelina Putri Shafira, Amanda Shinta Eva Celina Siagian, Martino Bijeloys Siahaan, Erika Togito Siboro, Sari Agustina Siburian, Joy Sihombing, Christian Johansen Silalahi, Yohanes Febrian Silitonga, Alfredo Alpansa Silvi Amelia Simangunsong, Marta Aulia Simanjorang, Sandha Calista Simanjuntak, Nadia Costarika Simbolon, Angga Baginda Sinaga, Enny Keristiana Sinaga, Novi Novani Sinaga, Novi Novanni Sirait, Steven Siregar, Hanfiandi Akbar Sitepu, Filza Kirani Br Sitepu, Jeremia Sitinjak, Reyvaldo Gilbert Sitorus, Andika Situmorang, Alvin Evraim Situmorang, Gaudensius J.A Sopiah Rahmadani br Torus Steven Eben Ezer Lase Suhairiani Suhairiani Syah, Razha Jamsik Syahbila, Azzahra Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Teguh Mediansyah Teuku Naufal Togito Siahaan, Erika Ulwi, Muhammad Zaki Wahyu Ramadhi Wan Safari Ramadhan Yosa Perangin Angin Yunansyah Siregar, Wal Yusron Abda'u Ansya Zai, Frans Pratamarifai Doya Zaki Ulwi, Muhammad Zherina Br Sitepu Zulfa, Zaid Zaidan Zulkifli Matondang