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All Journal Prosiding KOMMIT BERKALA SAINSTEK Majalah Geografi Indonesia INFORMAL: Informatics Journal TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) JKKI : Jurnal Kedokteran dan Kesehatan Indonesia Abdimas Indonesian Journal Jurnal Pengabdian Masyarakat
Achmad Maududie
Faculty Of Computer Science, Jember University, East Java, Indonesia
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences

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Pengaruh Penggunaan Emoji Pada Tingkat Akurasi Sentimen Di Twitter Menggunakan Metode Support Vector Machine Dharmawan, Tio; Kinanti, Virli Galuh; Maududie, Achmad
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7046

Abstract

Opinions and preferences expressed on social media and microblogging services are very important for sentiment analysis. A Support Vector Machine (SVM) is a learning system that uses a hypothetical space in the form of a linear function in a high dimensional feature space and applies a learning bias derived from statistical learning theory. The accuracy results obtained by the Support Vector Machine method from the first topic, namely booster vaccines as a homecoming requirement, were 65% for text only and 69% for text containing emoji. The accuracy results for the second discussion topic, namely demonstrations against Jokowi for 3 periods, were 79% for text only and 82% for text containing emoji. As for the third topic regarding the scarcity of cooking oil and rising fuel prices, the accuracy obtained is 74% for text only and 76% for text containing emojis.
Spatial analysis of tuberculosis cases among stunted toddlers in Rambipuji District, Jember Regency Utami, Wiwien Sugih; Amrina, Adinda Putri Yusri; Armiyanti, Yunita; Maududie, Achmad
JKKI : Jurnal Kedokteran dan Kesehatan Indonesia JKKI, Vol 15, No 2, (2024)
Publisher : Faculty of Medicine, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/JKKI.Vol15.Iss2.art8

Abstract

Background: The ongoing prevalence of tuberculosis (TB) and stunting presents significant health challenges, frequently localized within specific regions of Indonesia. Spatial analysis is essential in controlling infectious diseases like TB, as it identifies disease clusters and patterns of local TB spread within an area. Objective: This study aimed to analyze the distribution of TB cases among stunted children through spatial analysis. Methods: We used a cross-sectional analytical descriptive study. We interviewed parents of stunted children using a questionnaire. The diagnosis of TB was made based on the pediatric TB scoring table. Coordinate data of sample sites were obtained using a Geographic Information System (GIS), supported by risk factor analysis of TB. We then created a disease distribution map using the spatial analysis by Moran's Index and Nearest Neighbor Index (NNI) methods. Results: There were 15 childhood TB cases (8.2%) among stunted children in Rambipuji District. The spatial autocorrelation test using Moran's index showed that TB cases were clustered in Rambigundam village (Moran’s index 0.2364, p-value <0.05 and Z-score >1.96). The results of the NNI analysis showed dispersed results (p-value=0.000) in all villages. Conclusion: The distribution of childhood TB cases among stunted children in Rambipuji District is primarily random, except for Rambigundam Village, which shows a clustering of cases. According to the NNI methods, childhood TB cases among stunted children are spreading throughout all villages. These results underscore the need for initiatives to curb TB transmission, especially among stunted children, which should be targeted at all villages.
Co-Authors Akbar Pandu Segara Amalia, Karina Nine Amrina, Adinda Putri Yusri Arifin, Fajrin Nurman Azham Purwandhono Bagus Hermansyah Dharmawan, Tio Dwiretno Istiyadi Swasono El Maidah, Nova Fauziah, Difari Afreyna Ifrina Nuritha Irianto, Maulana Rafael Kartiko, Erik Yohan Kinanti, Virli Galuh Kurniawan Dwi Yulianto M. Habibullah Arief Nova El Maidah Nova El Maidah, Nova El Oktavia, Nelly Pangestu, Ahmad Yudho Hadi Wahyu Catur Wibowo Wiwien Sugih Utami Yudha Alif Auliya, Yudha Alif Yunita Armiyanti