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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Journal of Computer System and Informatics (JoSYC)
Abdullah, Mohammad Aldinugroho
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

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Sistem Pendukung Keputusan untuk Menentukan Hasil Bisnis Pujasera Terbaik dimasa Pandemi Covid 19 dengan Metode Fuzzy Tahani dan Simple Additive Weighting (SAW) berbasis Website (Studi Kasus: Pujasera Hangout Salihara) Abdullah, Mohammad Aldinugroho; Fitri, Iskandar; Nathasia, Novi Dian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.202

Abstract

Pujasera Hangout Salihara is a company engaged in the business of serving food and beverages for the public. During the Covid 19 pandemic, there were many impacts, one of which was in the restaurant business sector. With the Fuzzy database method Tahani model and Simple Additive Weighting are used in determining the destination of the favorite food menu at the food court according to customer desires accurately, quickly, and easily understandable, helping the food court owner and tenant of the food court at the salihara hangout food court in providing food menu recommendations, the most popular drink menu and the highest and lowest rating of each food court in a week or a month. The method of Fuzzy database model Tahani and Simple Additive Weighting are applied in making a decision support system with stages determined by the researcher. The result of the Decision Support System is a system that can assist in making decisions that are carried out accurately and according to the desired goals. In applications that have been built, the results are based on the value of the degree of membership and the truth value of the calculation process in the application. Testing is done by means of the BlackBox testing.Keywords:Decision support system, Fuzzy database method, Tahani model, Simple Additive Weighting, Pujasera.
Analisis Sentimen Mengenai Vaksin Sinovac di Media Sosial Twitter Menggunakan Metode Naïve bayes Classification Aldisa, Rima Tamara; Azizah, Azizah; Abdullah, Mohammad Aldinugroho
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 3 (2022): July-September
Publisher : KITA Institut

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 Aldisa, Rima Tamara Azizah Azizah Iskandar Fitri, Iskandar Novi Dian Nathasia