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Pengembangan video Animasi Berbasis Prezi dalam Model Discovery Learning untuk Meningkatkan Minat dan Hasil Belajar Peserta Didik pada Materi Pokok Reaksi Oksidasi Reduksi Nasir, Normalia; Anwar, Muhammad; Sanusi, Wahida
Chemistry Education Review (CER) Volume 7 Nomor 2 Maret 2024
Publisher : Program Pasca Sarjana UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/cer.v7i2.63002

Abstract

This study aims to examine: (1) the process of developing Prezi-based animated video media in the Discovery Learning Model and (2) the validity, practicality, and effectiveness of Prezi-based animated video media in the Discovery Learning Model. This type of research is Research and Development (R&D), which research procedures following the development of ADDIE. The results of the study show that the validity of Prezi-based animated video media in the Discovery Learning Modelon Oxidation Reduction Reaction material is declared valid and feasible to be used. The finding is based on the validation results by expert validators with a validation value of 3.40 or in valid category. Prezi-based animated video media concluded to be practical and effective because the practicality test of Prezi-based animated video media is related to (1) the implementation in the Discovery Learning Modelis at an average value of M = 1.98 in the category (1.5 ≤ M ≤ 2.0) which means that the aspects and criteria observed are in fully implemented category, (2) the teacher’s response with a percentage of 87.50% with a very practical category and students’ responses with a percentage of 90.20% with a very practical category. Prezi-based animated video media also meets the effective criteria with the results of (1) an increase in students' learning interest from 55.11% to 74.14%, (2) the completeness or achievement of KKM who obtained a score above 75 is 20 people (86.95%) which overallis declared to meet the minimum subject completeness criteria.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.