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Journal : PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer

Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Pada Analisis Sentimen Kebijakan Kemdikbudristek Mengenai Kuota Internet Selama Covid-19 Ulfa Khaira; Reni Aryani; Reza Wahyu Hardian
Jurnal PROCESSOR Vol 18 No 2 (2023): Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.897

Abstract

Sentiment analysis is an activity that is used to analyze public opinion about an incident such as the Ministry of Education and Culture's internet assistance quota during the Covid-19 pandemic through one of the Twitter social media. Twitter is a microblogging platform that is used to write an opinion or opinion about an event that can be used as a source of data used. The Naïve Bayes method and Support Vector Machine (SVM) are methods with a Machine Learning approach that can be used to perform sentiment analysis on Kemdikbudristek policies regarding MoEC Quotas in the process of classifying a tweet based on its emotional level and knowing the accuracy comparison between the Naïve Bayes method and the Support Vector Machine ( SVM). The results of the sentiment analysis process using the Naïve Bayes Algorithm and Support Vector Machine (SVM) based on public opinion, in this case Twitter users regarding the Ministry of Education and Culture Quota policies, resulted in a higher level of accuracy for the Support Vector Machine (SVM) than Naïve Bayes with an accuracy of 80%, for an average -the average precision value is 80.3%, recall is 80.3% and f1-score is 80.3%.
Prototype Sistem Informasi Registrasi Online Puskesmas (SIROP) : Puskemas Aurduri Kota Jambi Reni Aryani
Jurnal PROCESSOR Vol 18 No 2 (2023): Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.1399

Abstract

This study aims to develop a prototype of the Community Health Center Online Registration Information System (SIROP) at the Aurduri Health Center, Jambi City. SIROP is a web-based system that is integrated with a database to optimize the patient registration process and improve access to health services at the puskesmas. The Aurduri Health Center as one of the health service units in Jambi City is tasked with providing basic health services to the community. However, the registration process is still manual, causing potential disruption to the efficiency and accessibility of health services. In developing this SIROP prototype, we focused on general patient registration modules, schedule management, and automatic queue numbering. Data for system development was collected through observation, interviews, and questionnaires to medical staff and patients in order to understand the needs and problems that exist in the ongoing manual registration process. After the prototype was successfully developed, a performance test was carried out using the application and Blackbox testing with the help of the Catalon Study software. It is hoped that with the adoption of the SIROP prototype, patient waiting times can be reduced and medical resources can focus on better health services