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Journal : Jurnal Ilmiah Universitas Batanghari Jambi

Profil Partisipasi Mahasiswa Universitas Jambi pada Program Merdeka Belajar Kampus Merdeka (MBKM) Periode 2021-2023 Hidayati, Hidayati; Winarni, Sri; Wicaksana, Ervan Johan; Ardianingsih, Ardianingsih; Sunarti, Sunarti
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5581

Abstract

This research aims to present and describe the level of student participation from each faculty as well as data related to the level of student participation in each form of Merdeka Belajar Kampus Merdeka (MBKM) activity. In addition, this research aims to explain the inhibiting factors in each form of Merdeka Belajar Campus Merdeka (MBKM) activity in each faculty. Research data related to the number of students participating in the Merdeka Belajar Kampus Merdeka (MBKM) activity was obtained from the Independent Campus Learning Academic System (SIAKADEKA) application. The research results found that (1) in general the participation level of Jambi University students has increased from year to year; (2) the number of Independent Learning Campus (MBKM) participants for each form of learning activity experiences fluctuating trends and increasing trends; and (3) each faculty has different characteristics of forms of learning activities (BKP) which are characterized by the number of participants who dominate in certain forms of learning activities (BKP).
Pemanfaatan Data Digital Terrain Model dan Metode Topographic Wetness Index untuk Pembuatan Peta Rawan Banjir Daerah Aliran Sungai (DAS) Kenali Besar Kota Jambi Laswanto, Laswanto; Sunarti, Sunarti; Zuhdi, Mohd
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5544

Abstract

The aim of this research is to produce a map of flood-prone areas in the Kenali Besar watershed area by utilizing Digital Terrain Model (DTM) data using the Topographic Wetness Index method which is processed using Quantum GIS (QGIS) software. The results of this study revealed that 92.10% of the flood areas identified in this study were consistent with flood events that occurred in the field. Topographic Wetness Index analysis indicates that there are 347.0612 hectares (9.74% of the total area of the Kenali Besar watershed) that have the potential to experience flooding. This area is divided into three categories of vulnerability: 47.54 hectares with high vulnerability, 92.5 hectares with medium vulnerability, and 207.02 hectares with low vulnerability.