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All Journal Edsence: Jurnal Pendidikan Multimedia Specta Journal of Technology Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) LOSARI: Jurnal Pengabdian Kepada Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Edukasi: Jurnal Pendidikan Dasar Equiva
Syamsul Mujahidin, Syamsul
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Transportation Other

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Journal : Equiva

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Analisis Sentimen Media Sosial Twitter pada Kasus Pemberlakuan Pembatasan Kegiatan Masyarakat dengan menggunakan Metode Naïve Bayes Classifier Utomo, Muchammad Chandra Cahyo; Taukhid, Mukhamad; Mujahidin, Syamsul
Equiva Journal Vol 1 No 1 (2023)
Publisher : Jurusan Matematika dan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/equiva.v1i1.815

Abstract

Social media is a medium used by users to introduce themselves, interact, collaborate, and share information with other users using the internet. One of the popular social media platforms in Indonesia is Twitter. Twitter is a social media that generally functions as a sender of messages which are usually referred to as tweets or tweets. One of the topics that has been widely discussed is the Policy on Enforcement of Restrictions on Community Activities (PPKM), due to the impact of an increase in cases due to the emergence of a new variant of COVID, namely the Omicron. One of the aims of this study is to find out the results of sentiment analysis regarding public opinion on the imposition of restrictions on community activities using the Naive Bayes method. There techniques machine learning for sentiment analysis, one of which is the Naive Bayes classifier, which is a machine learning technique based on probabilistic. NBC is a simple but very accurate and effective text classification method whose classification is heavily influenced by the training data process. The data used is taken via Twitter with 1594 tweets. The data set will be divided into training data and testing data by comparing 90% training and 10% testing. So, the details of the distribution of the data used in this study are 1594 tweets as training data and 160 tweets as test data. The NBC process crawling data pre-processing, data sharing, data labelling Bayes model naive classification, training data classification. The results of the analysis of public opinion sentiment regarding the imposition of restrictions on community activities using the Naive Bayes obtained a sentiment value of 71% sentiment negatif and 29% sentiment positif, accuracy value of 0.84, F1-Score 0.84, precision is 0.85, and recall is 0,84 ​.
Pengembangan Sistem Informasi Manajemen Inkubator Bisnis Teknologi di Institut Teknologi Kalimantan berbasis Website menggunakan Metode Extreme Programming Aditya, Andhika; Utomo, Muchammad Chandra Cahyo; Mujahidin, Syamsul
Equiva Journal Vol 1 No 2 (2023)
Publisher : Jurusan Matematika dan Teknologi Informasi

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Abstract

The Kalimantan Institute of Technology has several organizations, one of which is a technology business incubator (IBT). The technology business incubator at ITK does not yet have an information system that can disseminate information regarding registration, selection and training information. IBT ITK requires media to be able to fulfill the need for information publication related to technology business incubators in ITK. Based on the previous problems, it is necessary to build a website-based management information system to facilitate the dissemination of information. The management information system that was built requires a systematic and structured method for its development, so the Extreme Programming method is used with the Laravel framework and MySQL as the database. The Extreme Programming method consists of several stages, namely observation, planning, iteration initialization, design, implementation (unit testing, code, refactor), system testing, retrospective. The results of the research show that the Extreme Programming method is capable of producing an information system that can meet the needs of stakeholders as shown from the test results.
Co-Authors Aditya, Andhika Amalia Kartika Desilya Lau Diarini, I Gusti Ayu Agung Sinta Fadhliana, Nisa Fudhail, Muhammad Thariq Hapsari, Yashmine Harli Andrika Lomo I Gede Ratnaya Insan Kamil, Muhammad Muhammad Noor Ihsan Fadhilah Paninggalih, Ramadhan Paulus Anthony Zejlstra Putu Yulia Angga Dewi Rangga Hermawa Rifqiandi, Muhammad Riska Kurniyanto Abdullah Rizki, Rifaldho Muhammad Taukhid, Mukhamad Utomo, Muchammad Chandra Cahyo Yanuar Bhakti Wira Tama