Website Bahan Ajar untuk Inovasi Digital untuk Meningkatkan Kualitas Pengajaran

This article discusses the design and implementation of an instructional material website as a digital innovation aimed at enhancing the quality of teaching. The methods used include user needs analysis, interface design, and functionality testing. The results show that the instructional material website improves accessibility, flexibility, and student engagement in the learning process. This innovation also facilitates lecturers in systematically distributing teaching materials. The instructional material website has proven to be an effective solution in supporting a modern and efficient learning process.

Authors

Institutions

Publication Details

Journal
Jurnal Informatika Medis (J-INFORMED)
Published
2025-06-30
DOI
https://doi.org/10.52060/im.v3i1.3099
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Website Bahan Ajar untuk Inovasi Digital untuk Meningkatkan Kualitas Pengajaran

Yessy Fitriani, Febri Ramanda, Frandes
Jurnal Informatika Medis (J-INFORMED)
Information Retrieval and Data Mining
article

Website Bahan Ajar untuk Inovasi Digital untuk Meningkatkan Kualitas Pengajaran

Yessy Fitriani, Febri Ramanda, Frandes
article en

Abstract

This article discusses the design and implementation of an instructional material website as a digital innovation aimed at enhancing the quality of teaching. The methods used include user needs analysis, interface design, and functionality testing. The results show that the instructional material website improves accessibility, flexibility, and student engagement in the learning process. This innovation also facilitates lecturers in systematically distributing teaching materials. The instructional material website has proven to be an effective solution in supporting a modern and efficient learning process.

Jurnal Informatika Medis (J-INFORMED)Vol. 3(1)
Universitas Muara Bungo (ID)
Openalex Percentile: Top 74%
Information Retrieval and Data Mining
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.