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All Journal Jurnal Media Infotama Jurnal Pseudocode JSAI (Journal Scientific and Applied Informatics) Journal of Applied Computer Science and Technology (JACOST) Jurnal Sistem Informasi Dan E-Bisnis Kreativitas Pada Pengabdian Masyarakat (Krepa) Kohesi: Jurnal Sains dan Teknologi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer International Journal of Information Technology and Business
Rozali Toyib
Unknown Affiliation
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Public Health Social Sciences Other

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Analysis of Twitter Sentiment in Cases Of Domestic Violence Comparison of Lexion-Based and Niave-Bayes Ardi Wijaya; Rozali Toyib; Jestika Safitri; Anisya Sonita; Yulia Darnita
International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.712024.01-08

Abstract

Twitter, a social media platform with millions of users, serves as a valuable source for unique insights. The case of Lestibillar domestic violence has garnered attention, fueling various circulating rumors that encompass positive, negative, and neutral opinions. This, in turn, gives rise to the potential spread of fake news. To counter this, sentiment analysis is employed using machine learning techniques. In this research, two machine learning algorithms within the realm of supervised learning are compared: lexicon-based and Naive Bayes. Sentiment objects are created for each algorithm to facilitate the comparison, aiming to determine which algorithm performs better in terms of accuracy. The results of the calculations indicate that Naive Bayes outperforms, achieving a superior accuracy of 99.96%, while the lexicon-based method lags significantly behind at 10.29%. The dominance of positive tweets is evident, comprising 2709 out of the total tweets on Twitter.
PENERPAN ALGORITMA BINARY SEARCH DALAM PENCARIAN DATA POTENSI INVESTASI DI KABUPATEN SELUMA DENGAN SMARTPHONE Onsardi Onsardi; Muntahanah Muntahanah; Rozali Toyib
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1160

Abstract

Seluma Regency has several attractive investment sectors to develop, such as coal mining, shrimp ponds, oil palm plantations, weaving and tourism, the Seluma Government has tried to collect this potential data and package it in the form of a regional book and the limited costs do not allow to produce the book en masse so that digitalization of the data is needed but the data is large, difficult to access with keywords. Search Algorithm In general, search is defined as looking for data by tracing where the data is stored, Searching is the process of searching or searching, Binary search is a method of searching data that has been ordered. In this method all ordered data elements will be tested one by one until the desired element is found. Searching for sorted data will result in a fast search. This algorithm is used for fast search times. The test results are the largest potential area in Seluma Regency is the agriculture and animal husbandry sector (fisheries), then followed by mining and tourism sectors. Efficient and faster Binary Search Algorithm if looking for a value in a large amount of data, Because these data have been sorted first first and the complexity of the algorithm is smaller, the first drawback of Binary Search is that data must be sorted first so that the search process can run well and is more complicated.
Co-Authors Andrian Kuor Nando Apridiansyah, Yovi Arif Setiawan Darnita, Yulia Eka Sahputra Gilang Nurva Wijaya Gito Ardiansyah Jandri M.Siban Jestika Safitri Juni Hidayatullah Kristika Meza Werda Ling Beri Parima M Husni Rifqo Marchel Giovanni Marissa Utami Martiyas Tirtayo Miko Ansyori Muntahana Muntahana Muntahanah, Muntahanah Nindyawati Nindyawati Onsardi, Onsardi Pahrizal Rhapico Emon Apriansya Rinaldi Rinaldi Rizki Hidayat Rohanan Yusuf Sonita, Anisya Tasya Rufaidah Tiara Dela Puspa Wijaya, Ardi