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INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol 8 No 1 (2023): Informatics Journal (INFORMAL)" : 12 Documents clear
Pengembangan Aplikasi Pencarian Rumah Kos Dengan Metode Scrum Dalam Rangka Digitalisasi UMKM Di Desa Popalia Suharsono Bantun; Jayanti Yusmah Sari
INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i1.34507

Abstract

The Covid-19 pandemic has also had an impact on UMKM. Boarding house businesses are included in UMKM which are located in school or campus areas. As a result of the pandemic, many boarding house businesses around campus have been abandoned because of the WFH and SFH policies. After 2 years, now schools and campuses have started to be active again. These conditions can revive the boarding house business around the USN Kolaka campus in Popalia Village. Based on the results of observations and interviews with students and boarding house owners, problems were found in efforts to revive the post- pandemic boarding house business, including: 1) students as the target consumer had difficulty obtaining boarding house information; 2) there is no info on the location map of the boarding house; 3) boarding house owners still use manual methods to promote their boarding houses. From these problems, it is necessary to digitize boarding houses, one of which is by making applications that can provide clear and up-to-date information. This study aims to develop a boarding house search application using the scrum method. The results of this study succeeded in making the popakos.com application according to user needs with a processing time of 54 days.
Analisis Sentimen Masyarakat Terhadap Pandemi Covid-19 Pada Sosial Media Menggunakan Naïve Bayes Clasifier Ade Fitriadin; Agus Sidiq Purnomo
INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i1.33937

Abstract

Social Media is an application internet based of communication. Twitter is one tool that Internet users frequently utilize. Twitter is one tool that Internet users frequently utilize., Twitter is a website that offers microblogging services so that users can communicate ideas, opinions, or just their daily lives through brief writings called Tweets. Social media is a communication tool that Internet users are currently using in large numbers. Tweets from Twitter users cover a wide range of topics, and from these tweets, data can be extracted for sentiment analysis, which can provide information to a variety of parties. The purpose of this project is to develop a system for sentiment analysis that can produce data and information in the form of positive sentiment, negative sentiment, and neutral sentiment. The Nave Bayes Classifier technique is used to categorize feelings. This system receives input in the form of public tweets on the Covid-19 Pandemic. Data visualizations of positive, negative, and neutral sentiment are produced by this system as its output. The Public Sentiment Analysis System with the Nave Bayes Classifier Algorithm can automatically do sentiment analysis with an accuracy of 70% when classifying a tweet using the Nave Bayes Classifier approach. The analysis's findings are presented in tabular form and visually using word clouds and diagrams.

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