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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Sinkron : Jurnal dan Penelitian Teknik Informatika Syntax Literate: Jurnal Ilmiah Indonesia Applied Information System and Management Sebatik Technomedia Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Computer Science and Information Technologies JURNAL FLYWHEEL ETNIK : Jurnal Ekonomi dan Teknik Proceedings Series on Social Sciences & Humanities KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Comparative : Ekonomi Dan Bisnis J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Ekonomi Bisnis Masterpiece: Journal of Islamic Studies and Social Sciences Jurnal Ilmiah Sistem Informasi The Indonesian Journal of Computer Science Jurnal Teknik Sipil
Raharjo, Teguh
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Deteksi Dini Penyakit Tanaman Tomat Menggunakan Model Real-Time Detection Transformer (RT-DETR) Raharjo, Teguh; Putro, Herman Purwoko; Sari, Herva Emilda
Jurnal Ilmiah Sistem Informasi Vol 5 No 1 (2026): January: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/286bt086

Abstract

Deteksi dini penyakit pada tanaman tomat merupakan aspek penting dalam pertanian modern untuk menjaga produktivitas dan meminimalkan kerugian akibat serangan penyakit. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi sistem deteksi dini penyakit tanaman tomat menggunakan model Real-Time Detection Transformer (RT-DETR) berbasis deep learning. Dataset yang digunakan terdiri dari 1.000 citra daun tanaman tomat yang terinfeksi berbagai jenis penyakit, yang telah melalui proses pelabelan dan praproses. Model RT-DETR dilatih selama 60 epoch untuk mempelajari pola visual dari berbagai gejala penyakit pada daun tomat. Hasil pengujian menunjukkan bahwa RT-DETR mampu mencapai tingkat akurasi sebesar 96,1%, yang menunjukkan kinerja sangat baik dalam mendeteksi dan mengklasifikasikan penyakit secara otomatis. Arsitektur transformer pada RT-DETR memungkinkan model mengekstraksi fitur global dan lokal secara lebih efektif, sehingga meningkatkan ketepatan dalam mengenali area daun yang terinfeksi. Meskipun waktu inferensi relatif lebih besar dibandingkan model berbasis CNN konvensional, tingkat akurasi yang tinggi menjadikan RT-DETR sangat potensial untuk diterapkan dalam sistem pemantauan kesehatan tanaman berbasis kecerdasan buatan. Penelitian ini diharapkan dapat menjadi kontribusi dalam pengembangan teknologi pertanian presisi dan sistem deteksi dini penyakit tanaman tomat secara otomatis.
Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Abstract

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.
Implementasi TutorGPT sebagai Inovasi Pedagogis Berbasis ChatGPT untuk Meningkatkan Literasi Digital dan Berpikir Kritis Siswa MTs Mathla’ul Anwar Pamulang Raharjo, Teguh; Sawmitha Adompo, Vergina; Khalid Rivai, Abu; Komara, Aditya; Ramadhan, Hanif; Yusuf, Mochamad; Zaid, Ahmad; Tribowo Prakoso, Panggih
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan kecerdasan buatan (Artificial Intelligence) telah membawa perubahan signifikan dalam dunia pendidikan, khususnya dalam pengembangan strategi pembelajaran yang inovatif dan adaptif. Salah satu teknologi AI yang saat ini banyak digunakan adalah ChatGPT, sebuah sistem berbasis pemrosesan bahasa alami yang berpotensi dimanfaatkan sebagai sarana pembelajaran digital. Artikel ini bertujuan untuk mengkaji penerapan ChatGPT sebagai inovasi pedagogis dalam meningkatkan literasi digital dan kemampuan berpikir kritis siswa. Kegiatan ini dilaksanakan melalui program sosialisasi dan pendampingan pembelajaran berbasis TutorGPT yang melibatkan siswa tingkat menengah. Metode pelaksanaan meliputi pemberian pre-test, penyampaian materi interaktif, praktik langsung penggunaan ChatGPT sebagai tutor belajar, diskusi, serta post-test untuk mengukur peningkatan pemahaman siswa. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman siswa terhadap konsep literasi digital, kemampuan memanfaatkan teknologi secara bijak, serta keterampilan berpikir kritis dalam menganalisis informasi dan menyelesaikan permasalahan pembelajaran. Siswa menunjukkan antusiasme tinggi dan mampu menggunakan ChatGPT untuk membantu memahami materi pelajaran, mengajukan pertanyaan secara mandiri, serta mengevaluasi jawaban yang diperoleh. Selain itu, kegiatan ini juga menumbuhkan kesadaran siswa terhadap etika penggunaan teknologi kecerdasan buatan dalam proses belajar. Dengan demikian, pemanfaatan ChatGPT sebagai sarana pembelajaran dapat menjadi alternatif inovasi pedagogis yang efektif dalam mendukung transformasi pendidikan di era kecerdasan buatan. Program TutorGPT diharapkan dapat menjadi model pembelajaran digital yang berkelanjutan dan relevan dalam meningkatkan kualitas pendidikan serta kesiapan siswa menghadapi tantangan era digital.
Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Abstract

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.
Understanding Project Complexity Influences on Complex IT Project Success Rizky, Fajar; Raharjo, Teguh; Trisnawaty, Ni Wayan
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 1 (2026): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The increasing complexity of IT projects in government organizations poses significant challenges for civil servants managing them. Previous studies suggest that complexity encompassing organizational, technological, and administrative dimensions can significantly affect IT project success. However, the specific impact of each complexity type on project innovation and success in the public sector, particularly in Indonesia, remains underexplored. Objective: The study investigates how project complexity affects the success of IT projects in Indonesia's public sector, focusing on civil servant's perspectives. The need arises from challenges in managing complex projects, particularly in organizational, technological, and administrative dimensions. Methods: This quantitative research employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data collected from 139 Indonesian civil servants. The survey used a Likert-scale questionnaire to measure the impact of project complexity on IT project success through the lens of project innovation. Results: The study revealed that organizational and technological complexities are crucial in fostering innovation within IT projects, ultimately enhancing their success. The findings indicate that when project teams effectively navigate organizational structures and adapt to technological challenges, they can cultivate an innovative environment that improves project outcomes. Administrative complexity does not significantly influence project innovation, indicating that rigid bureaucratic processes may fail to support creative problem-solving or achieve project objectives. Overall, the study underscores the importance of managing key aspects of project complexity to achieve higher success rates in complex IT projects within Indonesia’s public sector. Conclusion: The study emphasizes managing organizational and technological complexities to enhance innovation and project success in Indonesia’s public sector. The insignificant impact of administrative complexity suggests that rigid bureaucracy may hinder innovation. Future research should explore strategies to simplify administration and improve project management in government institutions.   Keywords: Project Complexity, IT Project Success, Civil Servants, Public Sector, PLS-SEM
Co-Authors 'ilma Insyifani, Izza Agtyaputra, Irfan Murtadho Aji Prasetyo, Aji Angga Hendriana Anita Nur Fitriani Apriansyah Pagua, Jeri Ar, Khorida Astagina, Shania Chairina Marsya dedi kurniawan Devina, Fakhira Eko K. Budiardjo Fadhli Luthfiansyah Faridy, Azka Fariz, Achmad Arzal Fauzan Aldiansyah Febriyanti, Yuri Fidyawan, Miftahul Agtamas Fitriani, Anita Nur Genia, Venera Hardian, Bob Hendry, Darell Herman Purwoko Putro Jallow, Fatoumatta Binta K. Budiardjo, Eko Khalid Rivai, Abu Komara, Aditya LAURA, LAURA Lumbanraja, Harry Leonardo Mahatma, Kodrat Miftahul Jannah Mochamad Yusuf Alsagaff Moeljadi Moeljadi, Moeljadi Muhamad, Gilang Aulia Muhammad, Fathan Nabasya, Oristania Wahyu Nana Mardiana Nisa Hermawati, Nisa Nugraha, Tito Febrian Nugraheni, Sani Novi Nur Fitriani, Anita Nurfitriani, Anita Pakpahan, Hartati Mediyanti Prasetyo, Teguh Tuhu Pujiono, Ibnu Putra Hulu, Freddy Richard Putrianasari, Rahmawati Ramadhan, Hanif Ramadhan, Muhammad Zaid Ramadhina, Farah Agia Rizky, Fajar Sari, Herva Emilda Sawmitha Adompo, Vergina Sidiq, Darmawan Simangunsong, Surya Seven Y Simanungkalit, Tiarma Sinulingga, Redry Maynard Ananda Soares, Domingas Sudarto, Reska Nugroho Suherna, Endang Surya Gumilang, Anggit Syahnuddin, Bob Hardian Syaputra, Ikhsan Triadi Tampubolon, Sabar Maruba Tribowo Prakoso, Panggih Trisnawaty, Ni Wayan Wayan Sujana Wayan Trisnawaty, Ni Wibowo, Aji Prastio Wibowo, Wahyu Setiawan Wijaya, Fadhil Yanpratama, Agas Yudhanto, Iman Alfathan Zagita, Tengku Chavia Zaid, Ahmad