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All Journal Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Journal for Lesson and Learning Studies
Muhammad Suhardi
Unknown Affiliation
Earth & Planetary Sciences Education Other

Published : 2 Documents Claim Missing Document
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THE CONTRIBUTION OF AN EFFORT TO COLLECT OF WOOD MANGROVE ( RHIZOPHORA , SP ) AGAINST THE TOTAL INCOME HOUSEHOLDS FISHERMEN IN BANTAN TENGAH VILLAGE BANTAN SUB-DISTRICT CITY OF BENGKALIS RIAU PROVINCE Muhammad Suhardi; M. Ramli; Lamun Bathara
Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Vol 2, No 2 (2015): Wisuda Oktober Tahun 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan

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Abstract

This research was conducted on january 2015. Its purpose to find out how large household income fishermen from an effort to collect mangrove wood, The total income households and large an effort to know the contribution of collecting of mangrove wood to the total household income fishermen. The methods was used by survey method with the determination of respondents with census.The results of this study that the indicate the magnitude of the average total household income of the fishermen of Rp 3.417.000, The average household income fishermen from the activities of an effort to collect of mangrove wood is Rp 1.352.750. The mangrove supported efforts to get a total income of fishing 25,2 % of households. Based on the criteria used in the analysis of data and the contribution of an effort to collect of mangrove wood against household income fishermen of 25,5 % ,that the classification is lower income.keyword: contribution, effort to collect of mangroves, wood income
The Effect of AI (Artificial Intelligence) in Education on Student Motivation: A Systematic Literature Review Badarudin; Lalu Parhanuddin; Ahmad Tohri; Muhammad Suhardi
Journal for Lesson and Learning Studies Vol. 8 No. 1 (2025): April - INPRESS
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jlls.v8i1.91141

Abstract

The lack of student learning motivation has become a critical issue in higher education, particularly in the digital era marked by rapid technological advancement. This study aims to analyze the contribution of artificial intelligence (AI) implementation in enhancing students’ learning motivation through a Systematic Literature Review (SLR) approach. The review was conducted by systematically screening scholarly literature in the Google Scholar database through several selection stages. The initial search using the keyword "Artificial Intelligence" yielded 4,320 documents, which were narrowed down to 749 with the addition of the keyword "Learning Motivation." Further refinement using the keyword "Students" reduced the results to 533 documents, and limiting the publication years to 2020–2024 resulted in 491 documents. The final selection produced 8 relevant articles for in-depth analysis. The data were analyzed qualitatively through thematic synthesis of findings across the selected studies. The results indicate that AI applications, such as educational chatbots and adaptive learning systems, significantly contribute to facilitating more personalized learning and fostering students’ intrinsic motivation. However, challenges such as limited technological access, resistance to change, and concerns regarding data privacy and ethics remain critical barriers. This study concludes that the development of AI in education must emphasize inclusivity, personalization, and the alignment with learners’ needs to ensure more effective and sustainable learning in the digital age.
Co-Authors Ahmad Tohri Badarudin Lalu Parhanuddin Lamun Bathara M. Ramli