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All Journal Sistemasi: Jurnal Sistem Informasi Nak-Kanak: Journal of Child Research
Dwi Arumsari, Andini
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Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering

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Permainan Kartu Lambang Bilangan: Upaya Meningkatkan Kemampuan Berhitung Pada Anak Usia Dini Setyawan, Dedi; Dzulkifli, Dzulkifli; Dwi Arumsari, Andini
Nak-Kanak: Journal of Child Research Vol. 1 No. 3 (2024)
Publisher : Program Studi Pendidikan Guru Pendidikan Anak Usia Dini, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/njcr.v1i3.66

Abstract

Early childhood experiences delays in calculating basic numbers. Basic numbers are an important part in supporting early childhood to enter the next level of education. Early childhood is the right time to stimulate various developments and potentials possessed by children. This study aims to analyze the numeracy skills of early childhood through Number Symbol Cards. This study uses an experimental research type. This study was conducted at PAUD Tunas Bangsa located in Kel. Ploso - Kec. Tambaksari, Surabaya. The subjects in this study were 17 students. The subjects at PAUD Tunas Bangsa were 3-5 years old. The analysis test was carried out using pretest and posttest data, and analyzed using a paired sample t-test. The results of the study found that the sig result was 0.000, so there was a difference in the numeracy skills of early childhood before and after being given Number Symbol Cards. Therefore, number symbol cards have an important role in improving the numeracy skills of early childhood. The findings of this study contribute to early childhood education as an alternative in improving the numeracy skills of early childhood by using number cards. So that it can prepare for further education better.
Sentiment Analysis of Cyberbullying Detection on Social Networks using the Sentistrenght Method Yunior, Kevin Heryadi; Vitianingsih, Anik Vega; Kacung, Slamet; Lidya Maukar, Anastasia; Dwi Arumsari, Andini
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.4226

Abstract

In today's swiftly changing digital realm, social media has emerged as a pervasive means of communication, yet it has also fostered the rise of cyberbullying, especially among young demographics. This research strives to develop an application that assesses public sentiment on Instagram regarding cyberbullying instances, categorizing sentiments as positive, negative, or neutral. Drawing data from Instagram accounts such as kumparandotcom, merdekadotcom, and okezonedotcom, the approach combines lexicon-based text labeling and sentiment analysis employing Sentistrength. Findings demonstrate the method's effectiveness, achieving accuracy, precision, and recall rates exceeding 85% while offering precise visualization of predictions. This study contributes to combatting cyberbullying, aiming to improve victims' mental well-being by providing clearer insights into social sentiment. The dataset comprises 4500 comments collected through web crawling, categorized into positive (735 entries), negative (2478 entries), and neutral (1288 entries) sentiments. The evaluation highlights the commendable performance of Sentistrength, achieving the highest accuracy at 93.85%.
Co-Authors Anik Vega Vitianingsih Dzulkifli, Dzulkifli Lidya Maukar, Anastasia SETYAWAN, DEDI Slamet Kacung, Slamet Yunior, Kevin Heryadi