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All Journal SISFOTENIKA Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Azizah Azizah
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Smart SIAKAD Android based using RecyclerView Azizah Azizah; Iskandar Fitri; Fauziah Fauziah; Nur Hayati
SISFOTENIKA Vol 10, No 2 (2020): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.458 KB) | DOI: 10.30700/jst.v10i2.958

Abstract

The Academic Information System (SIAKAD) android-based  is an information system that can facilitate students and prospective students in obtaining information about the University and academics through mobile devices. The stages of study used waterfall method consisting of analysis, design, coding, testing and maintenance. This application is made using the RecyclerView method in conducting the application development of academic information systems and conducting tests such as Whitebox, blackbox, test devices and UI respondents. The results from the test of the whitebox, the total number of Cyclomatic Complex city (cc) amounted to 11, the Region of 15 and the independent Path of 11. The trial of the blacblox got the result that the app is already able to provide information to your existing needs. The tests of testing whether the function and appearance of the app is feasible to use and for a device trial it is obtained the average app access time of 45 seconds and the visual application display 100%. The others trial is conduct with respondents as many as 23 respondents by testing the application has been running well with the results 52.2% agreed, 39.1% very agreed and 8.7% disagree. Further of development can be directed to the addition of other features that don't exist yet. In addition, it can also be developed for mobile users in addition to Android operating systems such as iOS.
Analisis Sentimen Mengenai Vaksin Sinovac di Media Sosial Twitter Menggunakan Metode Naïve bayes Classification Rima Tamara Aldisa; Azizah Azizah; Mohammad Aldinugroho Abdullah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 3 (2022): JULY-SEPTEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.479

Abstract

The Sinovac vaccine is an example of a type of inactivated vaccine. The government bought Sinovac, Novavax, AstraZeneca, and Pfizer vaccines. This vaccine is used to treat the Covid-19 pandemic. This vaccine is used to treat the Covid-19 pandemic. The role of the Indonesian people in expressing and stating the pros and cons often involves public services that are easily accessible by many people, namely social media, one of which is Twitter. This can be used as material to analyze who produces data in support of decisions. The technique that can be used is sentiment analysis. The method used in this study is the Naïve bayes Classification. The purpose of this study was to determine the value of sentiment analysis on the Sinovac vaccine using the Naive Bayes Classification method on Twitter social media using Indonesian. The result of this research is the final probability value based on the condition 0.000002765 for positive and 0.000000359 for negative. A response with a positive comment has a greater probability of a response with a negative comment.
Co-Authors Fauziah Fauziah Iskandar Fitri Mohammad Aldinugroho Abdullah Nur Hayati Rima Tamara Aldisa