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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Pharmaceutical and Sciences.
Hasibuan, Rabiatul Adawiyah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health

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Sentiment Analysis on Cyanide Case After 'Ice Cold' Aired with NLP Method using Naïve Bayes Algorithm Hizria, Rahmatika; Sarwadi, Sarwadi; Hasibuan, Rabiatul Adawiyah; Ritonga, Ramadhani; Rosnelly , Rika
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3408

Abstract

Information technology is developing increasingly rapidly, and the reach of the Internet has expanded even to remote areas. The public increasingly uses social media as a source of information that discusses all aspects of people's lives. Social media has a vital role for most people, one of which is the news of the cyanide coffee case. The Cyanide Coffee case was discussed again by netizens after Netflix raised this case in a documentary film entitled Ice Cold, which made the public even more convinced of the irregularities of the case. Based on this, sentiment analysis is needed to extract comments to obtain public opinion information. The sentiment analysis aims to create a sentiment model to determine public comments on this case. Therefore, this research was conducted to find out and classify public sentiment on the Cyanide Coffee Case using the Natural Language Processing (NLP) method, which is a text preprocessing process followed by the tokenization stage. Data filtering was used using Indonesian Stopwords, and then normalization was continued using Porter Stemmer. In this study, data collection was carried out based on public comments on Ice Cold shows on the TikTok platform using TikTok Comments Scraper. The test results show that the classification using naïve Bayes obtained the results of 22 negative comments, 4052 neutral comments and 34 positive comments. The classification results of this study are 87% accuracy, 97.6% precision, 87% recall, and 91.9% F-Score.
Hubungan Dukungan Keluarga dan Kondisi Psikologis Ibu Dengan Tingkat Keberhasilan Pemberian ASI Eksklusif di Desa Paya Geli Sinaga, Onike Lavionika; Irfani, Putri; Wahyudi, Putri Salsabilla; Hasibuan, Rabiatul Adawiyah; Siregar , Debi Novita
Journal of Pharmaceutical and Sciences JPS Volume 8 Nomor 3 (2025)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/journal-jps.com.v8i3.1013

Abstract

Background: Breast milk (ASI) is the ideal source of nutrition, containing antibodies and bioactive substances that support infant growth, development, and immune function. Despite its substantial benefits, many mothers fail to exclusively breastfeed. Family support and maternal psychological conditions are strongly suspected to influence the success of exclusive breastfeeding. Objective: This study aims to analyze the relationship between family support and maternal psychological conditions with the success of exclusive breastfeeding in Paya Geli Village. Methods: This quantitative study employed a cross-sectional design involving 32 mothers with infants aged 0–6 months. Data were collected using questionnaires and analyzed through univariate and bivariate analyses with Chi-Square and Fisher’s Exact tests. Results: Analysis of this limited sample showed a statistically significant association between family support (OR = 106.8; 95% CI: 10.0–1149.0; p < 0.001) and maternal psychological conditions (OR = 53.3; 95% CI: 2.7–1046.6; p = 0.0003) with exclusive breastfeeding success. However, the wide confidence intervals (CIs) indicate considerable uncertainty in the estimates. Conclusion: Family support and maternal psychological conditions are critical determinants of exclusive breastfeeding success. Community-level health promotion programs should prioritize these factors to improve exclusive breastfeeding coverage. Policy implications warrant further investigation with larger and more representative samples.
Co-Authors Hizria, Rahmatika Irfani, Putri Ritonga, Ramadhani Rosnelly , Rika Sinaga, Onike Lavionika Siregar , Debi Novita Solly Aryza Wahyudi, Putri Salsabilla