Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Telematika Compiler
Agung Fatwanto
UIN Sunan Kalijaga
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Topic Modeling of Online Media News Titles during COVID-19 Emergency Response in Indonesia Using the Latent Dirichlet Allocation (LDA) Algorithm M Didik R Wahyudi; Agung Fatwanto; Usfita Kiftiyani; M. Galih Wonoseto
Telematika Vol 14, No 2: August (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i2.1225

Abstract

Online media news portals have the advantage of speed in conveying information on any events that occur in society. One way to know what a story is about is from the title. The headline is a headline that introduces the reader's knowledge about the news content to be described. From these headlines, you can search for the main topics or trends that are being discussed. It takes a fast and efficient method to find out what topics are trending in the news. One method that can be used to overcome this problem is topic modeling. Topic modeling is necessary to help users quickly understand recent issues. One of the algorithms in topic modeling is Latent Dirichlet Allocation (LDA). The stages of this research began with data collection, preprocessing, forming n-grams, dictionary representation, weighting, validating the topic model, forming the topic model, and the results of topic modeling. The results of modeling LDA topics in news headlines taken from www.detik.com for 8 months (March-October 2020) during the COVID-19 pandemic showed that the best number of topics produced each month were 3 topics dominated by news topics about corona cases, positive corona, positive COVID, COVID-19 with an accuracy of 0.824 (82.4%). The resulting precision and recall values indicate that the two values are identical, so this is ideal for an information retrieval system.
Feasibility study of Massive Open Online Course (MOOC) in supporting self determined learning in state islamic higher education sumarsono sumarsono; Sutrisno Sutrisno; Agung Fatwanto
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.605 KB) | DOI: 10.28989/compiler.v10i2.1106

Abstract

The learning model in the digital era has changed from traditional face-to-face learning to online learning. This causes stuttering and uncertainty for educational institutions, including the State Islamic Religious University (PTKIN), especially the readiness of lecturers. Each lecturer has different models, strategies and learning media in managing the class according to their understanding and ability in online learning. This study aims to see the readiness of PTKIN lecturers for online learning through MOOCs media with a heutagogy approach using the e-learning system at their respective universities.The quantitative research method uses 5 elements of heutagogy and 1 element of MOOCs with 52 sampling data on PTKIN lecturers.The results show that lecturers have competence and readiness in using online learning technology, but there are weaknesses in lecturers' understanding in using the heutagogy approach in learning.
Co-Authors M Didik R Wahyudi M. Galih Wonoseto sumarsono sumarsono Sutrisno Sutrisno Usfita Kiftiyani