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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Implementasi Extreme Programming pada Aplikasi "SIATAP" Sistem Informasi Tanya Apoteker Berbasis Android dan Website Rizki Wahyudi; Agus Junadi; Haryani; Andi Saryoko; Donna Setiawati; S.M Santi Winarsih; Gustin Setyaningsih
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 2 (2020): April 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.644 KB) | DOI: 10.29207/resti.v4i2.1278

Abstract

The pharmacist is a professional degree for someone who has taken the oath of pharmacist position. Pharmacists are expected to be able to improve knowledge, skills, behaviour to be able to interact with patients. The form of interaction is giving information on medicines and counselling. In its service, pharmacists identify, prevent, overcome drug-related problems, and this has the possibility of medication errors. This research aims to build communication media between pharmacists and patients "SIATAP". The application will be developed using the extreme programming method. The advantages of this method can increase client satisfaction due to good communication so that it gets direct input from clients. Android application is designed for communication media between pharmacists and patients, the website application design to manage data for the administrator and pharmacist. To ensure the feasibility of the system, testing is done by using alpha and acceptance testing. The results of the alpha testing of all functional systems can run as expected. The results of the Acceptance Testing, using a questionnaire obtained a percentage of 92.57% with the conclusion that the application can be a good response from users so that the application is feasible to be implemented. The application can be downloaded at the URL: http://bit.ly/2ATy6hT.
Optimasi SVM Berbasis PSO pada Analisis Sentimen Wacana Pindah Ibu Kota Indonesia Primandani Arsi; Rizki Wahyudi; Retno Waluyo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.009 KB) | DOI: 10.29207/resti.v5i2.2698

Abstract

President Joko Widodo decided to move the capital city of the country outside Java. The relocation of the capital city is contained in the 2020-2024 National Medium-Term Development Plan. Community response to this has been mixed through national television and social media, especially Twitter. The tendency of Twitter users to respond to the government discourse can be seen with sentiment analysis. Sentiment analysis is one of the areas of Natural Language Processing (NLP) that builds systems for recognizing and extracting opinions. In this study, the Feature Selection PSO algorithm in the classification of the SVM model is proposed to improve the resulting accuracy in the sentiment analysis of moving capital cities. Experiments on the data of 1,319 tweets (457 positive sentiments and 862 negative sentiments) indicate an increase in accuracy by 2.09% from 79.06% to 81.15%, with the classification category is “Good Classification”.