Article Per Year (5 Year)
p-Index From 2021 - 2026
3.128
P-Index
This Author published in this journals
All Journal Pendidikan Sejarah JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Martabe : Jurnal Pengabdian Kepada Masyarakat Unes Law Review Majalah Ilmiah Warta Dharmawangsa Jurnal Sosial Humaniora Sigli JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika Bulletin of Information Technology (BIT) Brilliance: Research of Artificial Intelligence Journal Of Human And Education (JAHE) Jurnal Sistem Informasi Mahakarya (JSIM) Realita: Jurnal Penelitian dan Kebudayaan Islam Journal of Accounting and Finance (JAF) Jurnal Ilmiah Mahasiswa Pertanian Journal of Social Work and Science Education Multidisciplinary Indonesian Center Journal Primary Journal of Multidisciplinary Research ARCHITECTURA: Journal of Architecture and Planning Jurnal Mutiara Hukum RESWARA: Jurnal Riset Ilmu Teknik
Ardiansyah Putra
IPB
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Multidisciplinary Indonesian Center Journal

 1 
UTILIZATION OF ARTIFICIAL INTELLIGENCE (AI) AS A SOURCE OF TEACHING MATERIALS FOR TEACHERS: ANALYSIS OF POTENTIAL, CHALLENGES, AND CONTENT ACCURACY Qodri, Rifki; Setiawan, Daniel Duta; Putra, Ardiansyah; Nababan, Parningotan
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 4 (2025): Vol. 2 No. 4 Edisi Oktober 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i4.1410

Abstract

The development of Artificial Intelligence (AI) technology is currently progressing very rapidly and has had a major influence on various sectors, including the education sector, offering great potential in compiling engaging and relevant teaching materials. However, teachers still face challenges related to limitations in time, energy, technological understanding, and the accuracy of AI-generated content. Findings from the analysis show that AI has a significant capability to support teachers in designing learning materials relevant to student needs, as well as testing the accuracy of AI-generated content related to the learning material. Using a non-participant observation method, data was collected through social media, unstructured interviews with lecturers, teachers, and the general public, as well as testing the content of AI platforms such as ChatGPT, Gemini, and Meta AI. This research uses a descriptive qualitative approach to analyze the data. The study's findings reveal that artificial intelligence has a significant capacity to support educators in designing learning materials, while also optimizing time productivity and teaching innovation. However, the accuracy of AI content, although quite high for basic concepts, often does not include specific sources or references, thus requiring manual verification by teachers. The main challenges include a lack of training and technological understanding. It is recommended that teachers undergo AI training and always verify AI content with trusted sources.
DEFINING AN OPTIMAL EV CHARGING SERVICE RADIUS: A USER-BASED APPROACH FOR URBAN PLANNING IN PEKANBARU CITY Putra, Ardiansyah; Yunus, Wan Muhammad; Umar, Zulkarnain
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 2 (2026): Vol. 3 No. 2 Edisi April 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i2.2446

Abstract

The growing emphasis on sustainable urban mobility has positioned electric vehicles (EVs) as a strategic component of transport transformation, particularly in developing cities with constrained infrastructure systems. One of the key challenges in supporting EV adoption is the provision of accessible charging infrastructure, which is closely related to user perception of acceptable service distance. This study aims to determine the optimal service distance of Electric Vehicle Charging Stations (EVCS) based on user preferences in Pekanbaru City, Indonesia, and to explore its implications for spatial planning. A quantitative approach was employed using a questionnaire survey of 51 respondents distributed across 15 administrative districts. All respondents were non-EV users, representing potential adopters in the early stage of transition. The survey captured preferred EVCS distance using interval-based categories, along with respondents’ awareness and intention toward EV adoption. The results indicate that the dominant preferred distance falls within the 2–4 km range, with an estimated mean of 3.08 km and a standard deviation of 1.98 km, resulting in an effective range of approximately 1–5 km. Considering urban road network constraints and detour factors, this range is further adjusted to 3–6 km to reflect more realistic travel conditions. These findings suggest that a relatively dense and accessible charging network is required to reduce range anxiety and support EV adoption. From a spatial planning perspective, a 4 km service threshold is proposed as a practical reference for EVCS deployment, representing the central tendency of user preferences within the adjusted range. This study highlights the importance of integrating user-based spatial parameters into infrastructure planning and contributes to the literature by emphasizing the role of perceived accessibility in shaping EV infrastructure demand in developing urban contexts.
Co-Authors Achmad Gani Afdillah, Michael Ahmad Nurhuda Ali Johardi Andi Al-Mustagfir Syah Ayu Nainggolan, Galuh Bawazir Psb, Bagas Chairunnisa Chairunnisa Damanik, Micael Jeriko Elvardi, Jean Fithriati Ginting, M Imam Muarif Irsa Halomoan Hrp, Ishak Hudaya, Chairul Hutauruk, Firman Agustinus Imansyah, Farizal Jujur Gunawan Manullang Juliansyah, Ahmad Juniardi Akhir Putra Khairi, Ahmad Livia Ersi Mardinata, Erwin Marpaung, Rolando Mulkan Fadhli Nababan, Parningotan Nahdatunnisa Nasution, Marie Ma’arif M Noka, Isara Abda Nuryadi, Halid Qodri, Rifki Ramadoni Samosir, Rado Ramdhan, Zaki Reza Nur Huda, Ahmad Rincón, Daniela Rizky Aulia, Jihadan Rosana Rosana Sahdan, Ahmad Sari, Nikmata Sayuti, M. Serlin serang Setiawan, Daniel Duta Sherhan Shinta Esabella Siti Aisyah Siti Kholijah, Siti Siti Rahmawati Sofya, Nora Dery Susilawati, Susilawati Suswati, Lis Syafrizal Nur, Mhd. Syahputra Hsb, Mhd. Syam Purwana, Daffa Syofiarti Taib, Zulkifli Tampubolon, Barto Ardinanta Uswatun Hasanah Waluyo, Dwi Wan Muhammad Yunus, Wan Muhammad Warasman Marbun Wibawa, M. Bayu Yuliadi Yuliadi Zuhar Musliyana, Zuhar Zulkarnain Umar, Zulkarnain