Claim Missing Document
Check
Articles

Found 32 Documents
Search

Evaluasi Kapasitas Ruang Parkir Universitas Musamus Merauke Dina Pasa Lolo; Muh. Akbar; Silva Keiza Sahelangi; Dina Limbong Pamuttu; Hairulla; Mochammad Qomaruddin
MoDuluS Media Komunikasi Dunia Ilmu Sipil Vol 7 No 2 (2025): Desember 2025
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/modulus.v7i2.7373

Abstract

Musamus University is the only state university in South Papua Province. This campus provides parking spaces in various locations such as in the Faculty of Economics and Law, Deanery and Rectorate areas, but vehicles still often pile up. This research aims to determine the parking capacity of Musamus University. The research method is based on the 1998 Director General of Land Transportation's Technical Guidelines for the Implementation of Parking Facilities. The data collected is the number of incoming vehicles, the number of outgoing vehicles and the duration of the vehicle to find the value of the parking lot capacity. The results of the study at 3 points of the location of the motorcycle parking area of the Faculty of Economics and Law, the Deanery, and the Rectorate have a parking area of 216 m², 78 m², and 51 m², with a parking area requirement of 1,479 m², 289 m², and 231 m², then additional motorcycle parking areas are still needed, namely 1,263 m², 211 m², 180 m². In the car parking area of the Faculty of Economics and Law, the Deanery, and the Rectorate have a land area of 69 m², 80.5 m², and 57.5 m², a car parking area of 104 m², 173 m², and 173 m² is needed, so there is still a shortage of areas of 35 m², 92.5 m², and 115.5 m². The Faculty of Economics and Law's motorcycle prediction for the next 5 years is 312 SRP and cars 6 SRP.
AI Dependency and Critical Thinking in Higher Education: A Life-Course Perspective on Ethical Awareness and Algorithmic Bias Jabal Nur Popalia; Muh. Al-Habsy; Muh. Akbar; Akhmad Affandi
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 1 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i1.3

Abstract

Purpose – The rapid adoption of artificial intelligence (AI) in higher education has transformed how students engage with learning tasks, raising concerns about dependency, ethical awareness, and algorithmic bias. From a life-course education perspective, early adulthood represents a critical developmental stage in which patterns of AI use may shape long-term critical thinking and lifelong learning dispositions. However, empirical studies integrating AI dependency, ethical awareness, and algorithmic bias awareness in relation to students’ critical thinking remain limited. This study examines the effects of AI dependency, ethical awareness, and algorithmic bias awareness on university students’ critical thinking skills in the context of Indonesian higher education.Design/methods/approach – A quantitative cross-sectional design was employed. Data were collected from 110 undergraduate students across four universities in South Sulawesi, Indonesia, using purposive sampling. A validated questionnaire measured AI dependency, ethical awareness, algorithmic bias awareness, and critical thinking skills. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. Findings – The results indicate that all three variables significantly and positively influence students’ critical thinking skills. Algorithmic bias awareness exhibits the strongest effect, followed by AI dependency and ethical awareness. These findings suggest that critical awareness of AI limitations contributes more substantially to critical thinking development than the intensity of AI use alone.Research implications/limitations – The cross-sectional design limits causal interpretation, and the dominance of early-semester STEM students constrains generalizability. Potential moderating factors were not examined. Originality/value – This study contributes to the literature on artificial intelligence in education by integrating ethical awareness and algorithmic bias awareness within a life-course framework, highlighting the central role of critical AI literacy in supporting sustainable critical thinking development in higher education.
Co-Authors A. Desi Vio Alvionita Adila Wafia Dahlan Ahmad Abdullah Aswad Ahmad Fudhail  Majid Aisyah Aisyah Akbar, Muh. Akhmad Affandi Alamsyah Amra, Wahidah Amriani Amril Andi Achmad Syam Andi Dio Nurul Awalia Andi Gunawan Andi Nur Fadillah Andi Nurazizah A Aprilianti Nirmala S. Asmunandar Bahri bahri Binayanti Cahyani, Arum Tri Dewi Febriani Hamjan Dicky Wahyudi Dina Limbong Pamuttu Dina Pasa Lolo Dwiyani, Dwiyani Edy, Marwan Ramdhany Elfrianto Elma Nurjannah Fadli Fadli Faldi Firmansyah Febiola, Febiola Fiktariani Nuhering Firman Patawari Fitri Ramadani Grahandhika Satrio Pamungkas Hairulla Hanifah Hanan Zahidah Hasril, Hasril Hilal Malarangan Ilham Ilham Imam Ma’arif Imran Indrayanti Intan Slipi Lia Jabal Nur Popalia Jessica Crisfin Lapendy Junaid, Uswatun Hasanah Kabubu, Rusmala Dewi Kardiyanti, Inma Dwi Putri Lisa Lisa, Lisa M, Wahyu Hidayat M. Amin M. Rizky Kurniawan Madia, Aidia Syafitri Mau, Muliadi Maulana Yusuf Melki Melki Moehammad Iqbal Sultan mohfalatehan Muh Raenaldy Muh Yasin Kadir Muh. Al-Habsy Muh. Amin P Muh. Asmar Muhaemin Muhammad Farid Muhammad Ilhamuddin Muhammad Syukron MUHAMMAD YUSUF Muhammad Yusuf AR Mujairil Mujairil Mukhaer Pakkanna Natasya Jane Veronica M Nur Amri Ramadhan Abd. Gani Nur, Hamzah Nurul Ilmi Qomaruddin, Mochammad Rahmi Dewanti Palangkey Reski Amalia Putri. R Reynaldi Nafzal Ashari Rezki Nurul Jariah S.Intam Rosita Rufer Firma Harianja Sahrul Gunawan Sam’un Mukramin SANTOSA, RESTA ARGA Silva Keiza Sahelangi Soadiking, Misbar Sonni, Alem Febri Stelani Yunianti Subair, Ahmad Sultan, M. Iqbal Tegar Angbirah Parerungan Tuti Bahfiarti Tuti Bahfiarti Wahid, Muhsin wiwi satriani