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All Journal Jurnal Informatika dan Rekayasa Komputer PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING
Marrylinteri Istoningtyas
Universitas Dinamika Bangsa
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Implementasi Algoritma Naive Bayes Untuk Memprediksi zona dan Tingkat Penyebaran Covid-19 Di Provinsi Jambi Jopi Mariyanto; Sandi Pramadi; Kholil Ikhsan; Imelda Yose; Errissya Rasywir; Marrylinteri Istoningtyas; Yovi Pratama
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 2 No 2 (2022): JAKAKOM Vol 2 No 2 September 2022
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.835 KB) | DOI: 10.33998/jakakom.2022.2.2.115

Abstract

Abstrak - Pada masa pandemi Virus Corona (Covid-19), Informasi merupakan hal yang sangat penting bagi masyakarat. Salah satu sumber informasi yang digunakan melalui internet yaitu website berita seperti kompas.com, detik.com, tribunnews.com. Namun, artikel berita terkait topik pembahasan kematian pasien, pasien yang sembuh dari Virus Corona dan zona pada suatu tempat belum dapat dikelompokan. Hal ini dikarenakan angka pasien yang meninggal dan angka pasien yang sembuh akibat virus corona terus bertambah. Oleh karena itu, dibutuhkannya sistem yang dapat mengelompokan berita berdasarkan data yang telah ada sebelumnya. Hal ini dapat diatasi menggunakan text mining, salah satunya metode klasifikasi pada text mining dapat mengelompokan data pada suatu objek yang belum diketahui sebelumnya. Kata Kunci : covid-19, klasifikasi, algoritma naïve bayes Abstract - During the Corona Virus (Covid-19) pandemic, information is very important for the community. One source of information used through the internet is news websites such as kompas.com, detik.com, tribunnews.com. However, news articles related to the topic of discussing patient deaths, patients recovering from the Corona Virus and zones in one place cannot be grouped. This is because the number of patients who died and the number of patients who recovered from the corona virus continued to increase. Therefore, we need a system that can classify news based on pre-existing data. This can be overcome using text mining, one of which classification methods in text mining can group data on an object that has not been previously known. Keywords : covid-19, classification, nave bayes algorithm
ANALYSIS OF THE EFFECT OF ALFAGIFT'S ELECTRONIC SERVICE QUALITY BASED ON OBJECTIVES USING THE E-SERVQUAL METHOD Rafa Rizana Eka Putri; Marrylinteri Istoningtyas; Maria Rosario Boerroek
International Conference on Business Management and Accounting Vol 1 No 1 (2022): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v1i1.2856

Abstract

The times and technology are becoming retail business opportunities to compete online. This research was conducted with the aim to determine the effect of Alfagift service quality and the magnitude of the influence of e-servqual on user satisfaction Alfagift application. The study population was all people who had used the Alfagift application and the number was not known with certainty. So that the sample was taken using the non-probability sampling method type Purposive Sampling with the number of respondents taken as many as 130 respondents in the city of Jambi. The research data were processed using multiple linear regression methods through Statistical Product and Service Solution (SPSS) version 25. The results of data analysis showed the e-service quality hypothesis used in the study had a positive and significant effect on user satisfaction (0.878; t 10.991; sig 0.00).
Co-Authors Errissya Rasywir Imelda Yose Jopi Mariyanto Kholil Ikhsan Maria Rosario Boerroek Rafa Rizana Eka Putri Sandi Pramadi Yovi Pratama