Article Per Year (5 Year)
p-Index From 2019 - 2024
0.659
P-Index
This Author published in this journals
All Journal Indonesian Journal of Artificial Intelligence and Data Mining JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Ary Santoso
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Computer Science & IT Mathematics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PENGEMBANGAN MUTU PENGELOLAAN PROGRAM STUDI BERBASIS MONITORING ANALYTIC TOOLS MENUJU AKREDITASI UNGGUL PROGRAM STUDI MATEMATIKA FST UIN SYARIF HIDAYATULLAH Suma Inna; Irma Fauziah; Ary Santoso
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 14 No 2 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.2.5740

Abstract

This paper discusses Monitoring Analytics Tools (MAT) to analyze the management quality of the Mathematics Study Program Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta. Study program management based on Monitoring Analytics Tools (MAT) is one of strategy for building a study program management system based on data-driven and automated analytics. This method is handy in improving the quality of study programs so that they are more measurable, targeted, effective, and efficient in providing excellent services and developments. Monitoring Analytics Tools (MAT) in this study focused on two management quality developments of the study program, namely Monitoring Analytics Tools (MAT) for Lecturer Quality Development in the Learning Process through a Lecturer Evaluation Survey by Students and Monitoring Analytics Tools (MAT) for the Graduate Development through Graduate User Surveys. The results show that the responsiveness dimension (punctuality in learning activities) has the lowest satisfaction index for Lecturer Quality Development. Meanwhile, for the quality of graduates, the dimensions of specific skills (presentation and writing report skills) are the lowest satisfaction index.
Analisa Pemodelan Topik Berita Daring Menggunakan Semi-Supervised dan Fully Unsupervised Latent Dirichlet Allocation Khoirunnisa Fi Nurdin; Taufik Edy Sutanto; Ary Santoso
Jurnal Pendidikan Tambusai Vol. 7 No. 2 (2023): Agustus 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Masyarakat milenial tidak membutuhkan pemberitaan yang aktual dan akurat saja akan tetapi juga kecepatan pemberitaan. Media massa yang mampu dalam memenuhi kebutuhan tersebut ialah media daring. Paluposcom ialah portal berita daring yang populer saat ini di Kota Palu, Sulawesi Selatan. Berita pada portal tersebut akan terus bertambah sehingga menyebabkan semakin bertumpuknya data berita yang ada. Pemodelan topik mampu membantu mengelompokkan informasi dan juga memetakan informasi tersebut ke suatu bidang tertentu dengan menggunakan metode latent dirichlet allocation (LDA). Pada penelitian ini dilakukan dua pendekatan pemodelan topik antara metode Fully Unsupervised dan Semi Supervised. Topik yang digunakan sebagai acuan topik umum sebanyak 8 yaitu Ideologi, Politik, Ekonomi, Sosial, Budaya, Pertahanan, Keamanan dan Olahraga. Dari hasil penelitian ini diperoleh nilai loglikelihood dan coherence score Semi Supervised lebih baik dibandingkan Fully Unsupervised, serta lebih mudah diinterpretasi oleh manusia dibandingkan dengan Fully Unsupervised. Sehingga memudahkan pengguna untuk menemukan berita yang sesuai dengan minat mereka.
Exploratory Data Analysis of Indonesian Presidential Election Candidate Campaign in 2019 on Twitter Fadlan Bima Hermawan; Taufik Edy Sutanto; Ary Santoso
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.26308

Abstract

Social media users in Indonesia are growing over time, this has caused many political actors, both individuals, and political parties, to take advantage of this. According to Hootsuite (We are Social) in the Digital 2022 report, Indonesia has 191 million active social media users, so there will be many political actors campaigning on social media. In the literature that discusses similar topics, it is rare to analyze comprehensive exploratory data analysis such as text analysis, hashtags, and social network analysis. From the data analysis conducted in the 2019 Election, the following results were obtained. In text analysis, the narratives used by the two candidates were very different, it was seen that some used other positive and negative narratives. The hashtag analysis found that consistency in campaigning had an influence on electability in the election. In the analysis of social networks, it is found that users who influence social media campaigns, users who appear are not only politicians but also ordinary people who try to support their chosen candidate. The research conducted is expected to be a basic reference in exploring data on social media in other cases, especially in the political field
Co-Authors Fadlan Bima Hermawan Irma Fauziah Khoirunnisa Fi Nurdin Suma'inna Suma'inna Taufik Edy Sutanto