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All Journal Care : Jurnal Ilmiah Ilmu Kesehatan Bulletin of Social Informatics Theory and Application
Ningtyas, Annisa Maulida
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Computer Science & IT Health Professions Nursing Public Health Social Sciences

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Recommendation system for web article based on association rules and topic modelling Herwanto, Guntur Budi; Ningtyas, Annisa Maulida
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.36

Abstract

The World Wide Web is now the primary source for information discovery. A user visits websites that provide information and browse on the particular information in accordance with their topic interest. Through the navigational process, visitors often had to jump over the menu to find the right content. Recommendation system can help the visitors to find the right content immediately. In this study, we propose a two-level recommendation system, based on association rule and topic similarity. We generate association rule by applying Apriori algorithm. The dataset for association rule mining is a session of topics that made by combining the result of sessionization and topic modeling. On the other hand, the topic similarity made by comparing the topic proportion of web article. This topic proportion inferred from the Latent Dirichlet Allocation (LDA). The results show that in our dataset there are not many interesting topic relations in one session. This result can be resolved, by utilizing the second level of recommendation by looking into the article that has the similar topic.
PENGEMBANGAN SISTEM INFORMASI SURVEILANS PROGRAM KESEHATAN IBU DAN ANAK BERBASIS DHIS2 (DISTRICT HEALTH INFORMATION SOFTWARE 2) Salim, Marko Ferdian; Syairaji, M.; Ningtyas, Annisa Maulida; Pratama, Rio Aditya
Care : Jurnal Ilmiah Ilmu Kesehatan Vol 10, No 2 (2022): EDITION JULY 2022
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jc.v10i2.2480

Abstract

Indonesia masih menetapkan bahwa masalah kesehatan ibu dan anak (KIA) sebagai program prioritas yang harus diselesaikan karena angka kematian ibu (AKI) dan angka kematian bayi (AKB) belum memenuhi standar indikator. Sistem surveilans KIA belum terintegrasi sehingga data dan informasi yang dihasilkan juga belum bisa dimanfaatkan secara maksimal untuk mendukung pengambilan keputusan terhadap masalah KIA. Tujuan penelitian ini yaitu merancang dan mengembangkan sistem informasi surveilans program KIA berbasis DHIS 2. Jenis penelitian adalah action research dengan mengikuti langkah-langkah protoyping dalam mengembangkan sistem informasi surveilans program KIA berbasis DHIS 2 (District Health Information Software 2). Penelitian dilaksanakan pada bulan Agustus 2019 - Februari 2020 di Puskesmas Kabupaten Kulon Progo. Subjek penelitian ini yaitu Petugas KIA Puskesmas sebanyak 6 orang yang ditentukan berdasarkan purposive sampling. Objek penelitian ini adalah sistem informasi surveilans KIA. Prototipe sistem informasi surveilans program KIA berbasis DHIS 2 telah melalui tahap identifikasi kebutuhan, desain sistem, implementasi, dan pengujian. Hasil uji coba sistem membuktikan bahwa pengguna dapat menerima sistem tersebut dan sistem berjalan dengan baik. Sistem informasi surveilans program KIA berbasis DHIS 2 sudah berhasil dikembangkan dan diterima oleh pengguna. Oleh karena itu, pihak puskesmas disarankan agar mengimplementasikan sistem ini dalam kegiatan surveilans KIA.
Co-Authors Herwanto, Guntur Budi Marko Ferdian Salim, Marko Ferdian Pratama, Rio Aditya Syairaji, M.