Article Per Year (5 Year)
p-Index From 2021 - 2026
6.189
P-Index
This Author published in this journals
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 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

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 2   3   4   5   6 
Dampak Positif dan Negatif Penggunaan Artificial Intelligence terhadap Kecerdasan Intelektual Mahasiswa Martino Bijeloys Siagian; Reyvaldo Gilbert Sitinjak; Christian Johansen Sihombing; Samuel Jonathan Pangaribuan; Elsa Sabrina; Fahmy Syahputra
QISTINA: Jurnal Multidisiplin Indonesia Vol. 4 No. 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7556

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah membawa transformasi signifikan dalam dunia pendidikan tinggi, khususnya dalam proses pembelajaran mahasiswa. Penelitian ini bertujuan untuk mengkaji secara komprehensif dampak positif dan negatif penggunaan AI terhadap kecerdasan intelektual mahasiswa melalui tinjauan literatur sistematis. Metode yang digunakan adalah literature review dengan menganalisis berbagai jurnal ilmiah, artikel penelitian, dan publikasi terkait penggunaan AI dalam pendidikan tinggi periode 2020-2025. Hasil kajian menunjukkan bahwa penggunaan AI memberikan dampak positif yang signifikan, meliputi: peningkatan efisiensi pembelajaran, kemudahan akses informasi, personalisasi materi pembelajaran, pengembangan kreativitas, dan peningkatan pemahaman konsep yang kompleks. AI juga mendukung pembelajaran mandiri dan memberikan umpan balik real-time kepada mahasiswa. Namun, kajian ini juga mengidentifikasi berbagai dampak negatif, antara lain: penurunan kemampuan berpikir kritis, ketergantungan berlebihan pada teknologi, potensi plagiarisme dan pelanggaran integritas akademik, pemahaman yang dangkal terhadap materi, serta kekhawatiran terkait keamanan dan privasi data. Temuan menunjukkan bahwa penggunaan AI, khususnya ChatGPT, berpengaruh terhadap kecerdasan intelektual mahasiswa dengan kontribusi berkisar 57-75% terhadap peningkatan produktivitas akademik. Penelitian ini merekomendasikan perlunya strategi penggunaan AI yang bijak dan terarah, penguatan kebijakan institusi pendidikan, pelatihan literasi digital bagi mahasiswa dan dosen, serta pengembangan sistem evaluasi yang dapat mengidentifikasi orisinalitas karya mahasiswa. Dengan pendekatan yang seimbang, AI dapat dioptimalkan sebagai alat bantu pembelajaran yang meningkatkan kecerdasan intelektual tanpa mengorbankan kemampuan berpikir kritis dan kreativitas mahasiswa
Tinjauan Literatur Sistematis (2019–2025) Kinerja Decision Tree dan Neural Network (Deep Learning) serta Perbandingannya dengan Naive Bayes dan SVM Fahmy Syahputra; Elsa Sabrina; Febrinata Silvianna Br Tarigan; Matius Irvan Sarumaha; Alfi Rahmadhani; Sandha Calista Simanjorang; Loveyanni Marito Benedikta Gorat
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 Fahmy Syahputra; Elsa Sabrina; Tirta Yasa Agung Barus; M Farid Al Farishi; Rabiatul Adwiyah; Nadila Ramadani; 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.
Peran Artificial Intelligence (AI) dalam Meningkatkan Kemampuan Berpikir Kritis Siswa Fahmy Syahputra; Elsa Sabrina; Alvin Evraim Situmorang; Marchell Gabriel Manurung; Safira Nazwa Putri; Sarwedi Parhehean Tua
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.v6i4.13432

Abstract

This study aims to analyze the contribution of artificial intelligence (AI) use in supporting students’ critical thinking skills across the cognitive levels of Bloom’s taxonomy. A descriptive quantitative survey design was employed. Data were collected using a 20-item questionnaire administered via Google Forms to 45 students. Descriptive analysis was conducted by summarizing and reporting the proportion of responses for each Bloom level (remembering, understanding, applying, analyzing, evaluating). The results show that the highest proportion occurs at the understanding level (26.7%), followed by analyzing (22.2%), evaluating (20.0%), applying (17.8%), and remembering (13.3%). These findings indicate that students tend to use AI more to comprehend learning materials and break down information than merely to recall facts. The study concludes that AI can function as a learning partner that supports critical thinking processes—particularly at the understanding and analyzing levels—provided that its use is guided pedagogically to align with instructional goals.
Keamanan Pengenalan Wajah Berbasis Deep Learning: Tinjauan Sistematis Serangan Adversarial dan Strategi Pertahanan (Systematic Literature Review) Fahmy Syahputra; Elsa Sabrina; Andika Sitorus; Khodijah May Nuri Lubis; Frans Jhonatan Saragi; Suci Nurrahma; Novi Novanni Sinaga
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.v6i4.13424

Abstract

Deep learning–based face recognition is widely adopted due to its strong performance, yet its susceptibility to attacks—particularly adversarial attacks—poses critical risks to the security and reliability of biometric systems. This study presents a Systematic Literature Review (SLR) to synthesize evidence on performance, vulnerabilities, and defense strategies in deep learning–based face recognition. The review follows PRISMA guidelines, including literature retrieval from reputable scholarly sources, deduplication, title/abstract screening, and full-text eligibility assessment based on predefined inclusion and exclusion criteria. Study quality is examined through critical appraisal, and findings are synthesized using thematic analysis, yielding four major themes: (1) model performance and factors influencing accuracy, (2) attack types and their impact on recognition outcomes, (3) defense mechanisms and their effectiveness, and (4) real-world deployment constraints (e.g., illumination, pose, image quality, and identity scale). The synthesis indicates that high accuracy does not necessarily imply high robustness; several defenses (e.g., adversarial training, attack detection, and robust learning) can improve resilience but may introduce trade-offs in computational cost and/or accuracy. This review provides a comparative synthesis and a conceptual model linking accuracy–attacks–defenses, and offers practical recommendations for model selection and security evaluation design. Limitations include heterogeneity in datasets and experimental protocols, inconsistent reporting metrics, and potential publication bias
Co-Authors -, Basyiah -, Basyiah Abdurrahman, Umar Abel Sinaga Adhitya, Wisnu Rayhan Adi Sutopo Adwiyah, Rabiatul Afandi Yusuf Lubis Afriansyah Pulungan, Wira Al Farishi, M Farid Al Husna, Saiba Aldy Primanda Barus Alfi Rahmadhani Alhadi, M.Raflie Alvin Evraim Situmorang Alya Rahmi Amalia, Mazaya Amanda, Nayla Ami, Hutri Amirhud Dalimunthe Ananda, Muhammad Rendi Andika Sitorus Angelina Putri Sembiring, Dheany Anggraini, Ade Anjelita Ardiansyah, Muhammad Fadhill Arif Rahman Ariyantika Br Ginting Artiani Zebua Asisah, Fatma Atan Fices Barus Aulia Simangunsong, Marta Barus, Michael Steven F. Barus, Tirta Yasa Agung Calista, Sandha Chan, M Fajar Sahendra Christian Johansen Sihombing Cristina Elseria Rahelta Debora Cindy Purba Dewi, Nora Ronita Dheany Angelina Putri Sembiring Diah Fadilillah Diyaul Fikri Dwi Febrina Echon Haqnizo Eka Dodi Suryanto Eliasta Agustinus Sebayang Elsa Sabrina Elsa Sabrina Elsadin, Ratih Tri Elvana, Ayu ELVI MAILANI Erika Togito Siahaan Fadhil Ardiansyah Fakhri Lubis, Muhammad Fali, Rifki Fattah, M Faturrahman, M Nadhif Fauzan Fachruzi Febiola Simatupang Febrinata Silvianna Br Tarigan Fikri, Diyaul Fitri, Destiana Frans Jhonatan Saragi 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 Hanifah Mardhiyah Harahap, Ihsan Heldi Harahap, Zulkaidah Harun Sitompul Harvei Desmon Hutahean Hawari, Mhd Fadhlan Hawari, Muhammad Fadhlan Hendratmo, Joko Heskia, Carlo Hutagalung, Namira Rahmadina Hutauruk, Karel Rolian Hutri Ami Imam F Hutasuhut Imanta Sianturi Ira Gusdhini Harahap Irfanny, Riza Jauharah Jauharah Jauharah, Jauharah Jesica Aime Siahaan Joko Hendratmo Khodijah May Nuri Lubis Laili Tanzila Loveyanni Marito Benedikta Gorat Lubis, Azmi Rizki Lubis, Khodijah May Nuri M Fajar Sahendra Chan M Farid Al Farishi Manurung, Marchell Gabriel Manurung, Ricardo Marchell Gabriel Manurung Mardhiyah, Hanifah Maria Niscaya Ndruru Marta Aulia Simangunsong Martino Bijeloys Siagian Marwan Affandi Matius Irvan Sarumaha Maulana, Bagoes Maya Sari Monika Putri Puspita Siagian Muchsin Harahap Muhammad Bahrul Ilmi, Muhammad Bahrul Muhammad Fakhri Lubis Muhammad Fattah MUHAMMAD ILHAM Muhammad Zaki Ulwi Munawwar, Muhammad Nababan, Leoni Try Oxana Nadila Ramadani Naomi Pranatasyah Nasution, Aulia Rivansy Nasution, Henny Puspa Hendrani Nasution, Romadon Nasution, Willy Oktaviano Yehezkiel Naufal Ilham, Muhammad Nazwa, Safira Novi Novanni Sinaga Nurrahma, Suci Otniel Manurung Pangaribuan, Samuel Jonathan Pardede, Rachel Christa Masniari Perangin-Angin, Yosa Steven Perdana, Nugraha Aditama Putra Permata, Sahly Na’ila Pinkan Ramadhani Pohan, Ahmad Rizal Padana Pradana, Raflie Sultan Pratama, Saras Putri, Tansa Trisna Astono Rabiatul Adwiyah Raden Muhammad Fathur Rahman Rafael Owen Kevin Nainggolan Raffi Hidayat Rafly Adhitiya Wardana Rahelta, Christina Elseria Rahmadhani, Alfi Rahmansyah Angga Saputra Rahmi Isnaini Rahmi, Alya Raisa Nadrah Shafira Hia Ramadani, Nadila Rambe, Rizkina Ramadhani Reyvaldo Gilbert Sitinjak Rifki Fali Ririn Handayani Nst Rivany Virenzia Rizky Abimayu Utama Tanjung Rosnelli SABRINA, ELSA Safira Nazwa Putri Salima, Khofifah Qalbun Salsabila, Azura Sakhi Samuel Jonathan Pangaribuan Sandha Calista Simanjorang Sandy Sanjaya S Saragi, Frans Jhonatan Sari, Angereiny Citra Sarumaha, Matius Irvan Sarwedi Parhehean Tua Selvia Amanda Kayla Shafira, Amanda Shinta Eva Celina Siboro, Sari Agustina Siburian, Joy Silalahi, Yohanes Febrian Silitonga, Alfredo Alpansa Silvi Amelia Simanjuntak, Nadia Costarika Simbolon, Angga Baginda Sinaga, Enny Keristiana Sinaga, Novi Novani Sirait, Steven Siregar, Hanfiandi Akbar Sitepu, Filza Kirani Br Sitepu, Jeremia Sitorus, Andika Situmorang, Alvin Evraim Situmorang, Gaudensius J.A Sopiah Rahmadani br Torus Steven Eben Ezer Lase Suci Nurrahma Suhairiani Suhairiani Syah, Razha Jamsik Syahbila, Azzahra Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Teguh Arif Mediansyah Teguh Mediansyah Teuku Naufal Tirta Yasa Agung Barus Togito Siahaan, Erika Wahyu Ramadhi Wan Safari Ramadhan Yosa Perangin Angin Yunansyah Siregar, Wal Zai, Frans Pratamarifai Doya Zaki Ulwi, Muhammad Zherina Br Sitepu Zulfa, Zaid Zaidan Zulkaidah Harahap Zulkifli Matondang