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All Journal AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS)
Bimantoro, Dava Sevtiandra
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Humanities Computer Science & IT

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Perancangan Sistem Informasi Posyandu Berbasis Website pada Posyandu Edelweis Babelan Desa Bahagia Kabupaten Bekasi Bimantoro, Dava Sevtiandra; Raihan, Farid; Siahaan, Bangun; Nurmaylina, Vivi; Sarimole, Frencis Matheos
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.283

Abstract

The use of digital technology, primarily through the use of the Posyandu website, has positively impacted the efficiency and effectiveness of recording and reporting Posyandu activities. This article explores digitalization's role in optimizing community health services at the Posyandu level. The author used the data collection method: direct observation of the Edelweis Posyandu activities. The results show that implementing the Posyandu website has simplified the process of recording and reporting activities, reduced the workload for cadres, and increased data accessibility for health workers. Apart from that, digitalization also helps increase cadres' digital literacy, enabling them to use technology more effectively in their tasks. In conclusion, the digitization of Posyandu has excellent potential to strengthen its role as a provider of integrated and efficient public health services.
Sentiment Analysis of the Tapera Law on Platform X Using Naive Bayes Algorithm Bimantoro, Dava Sevtiandra; Rasiban
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3077

Abstract

The implementation of the 2016 Public Housing Savings Law (UU Tapera) aims to help legal and informal workers have decent houses through the management of housing savings funds by BP Tapera. However, when implemented, this program experienced obstacles amidst various problems including the transparency of the fund collection and management system, the unevenness of benefit provision, and variations in public perception. Sentiment analysis was conducted on Twitter data for sentiment regarding the Tapera Law to obtain public perception with Naïve Bayes. This approach classifies sentiment into positive, negative, and neutral. The accuracy of the Analysis Results was 62.47% (343 negative sentiments, 23 neutral, and finally 32 positive sentiments). The public mostly has negative sentiment towards the Tapera Law, because many of them are afraid of losing justice and effectiveness with this policy. These results underline the need to intensify transparency and communication of the benefits of the Tapera Law and its mechanisms to increase public acceptance and trust.
Co-Authors Nurmaylina, Vivi Raihan, Farid Rasiban Sarimole, Frencis Matheos Siahaan, Bangun