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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Bastra (Bahasa dan Sastra)
Maulidia, Mia
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Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media

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CHATBOT DENGAN ALGORITMA MULTILAYER PERCEPTRON SEBAGAI LAYANAN INFORMASI SEKRETARIAT FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS BUDI LUHUR Maulidia, Mia; Syafrullah, Mohammad
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 1 (2024): Jurnal SKANIKA Januari 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i1.3148

Abstract

Information service centers are very important today, with the existence of information service centers many people are helped in conveying and receiving the information needed, including in the world of higher education, information about academics is needed in teaching and learning activities in lectures. Although to get general information related to current teaching and learning activities at the Faculty of Information Technology at Budi Luhur University can be accessed through the website, supervisors and social media. But the problem now is to get information from supervisors who sometimes take too long to respond to students or even miss not responding. One way to overcome this problem is to create a chatbot system as an information service at the Faculty of Information Technology at Budi Luhur University using a natural language Natural Language Processing (NLP) approach with the Neural Network method and Multilayer Perceptron algorithm and extraction features using the binary Bag of words method by matching and giving a value of 1 to each question that is used as a token at the appropriate preprocessing stage on The train data and assigns a value of 0 to each toen that does not match the token on the train data. As well as using datasets saved in JSON format. Based on the model that has been trained to obtain accuracy and loss results with an accuracy value = 1,000 and a loss value = 0.0117, it can be concluded that the trained model is a good model.
ANALISIS WACANA KRITIS TERHADAP KOMENTAR NEGATIF TERKAIT CHILDFREE DI MEDIA SOSIAL DENGAN PERSPEKTIF SARA MILLS Ari Musdolifah; Fadhilah Azzahra; Maulidia, Mia; Nasywa Haniifa Budiono; Syarifullah Yusuf; Isar Darmawan
Jurnal Bastra (Bahasa dan Sastra) Vol. 10 No. 2 (2025): JURNAL BASTRA EDISI APRIL 2025
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia, FKIP, Universitas Halu Oleo Kampus Bumi Tridharma Andounohu Kendari, Provinsi Sulawesi Tenggara – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/bastra.v10i2.1213

Abstract

This study analyzes the negative comments received by childfree women on social media, focusing on the Instagram account @indo_psychology and X account @tanyarlfes using Sara Mills' critical discourse analysis model. This research explores how the language in the comments reinforces social norms that assume women's main role is as mothers. This research uses a qualitative descriptive method. The research data was collected from the comments posted in both accounts. Sara Mills' critical discourse analysis approach was applied to analyze the subject, object, and reader in the six comments of Instagram account @Indo_Psychology and X account @tanyarlfes. The two social media accounts are Subjects and Childfree as Objects. The results show that negative comments often contain views that blame and shame childfree women, affecting people's perceptions and reinforcing social stigma. This research focuses on countering negative stereotypes and promoting gender equality in society.
Co-Authors Ari Musdolifah Fadhilah Azzahra Isar Darmawan Mohammad Syafrullah Nasywa Haniifa Budiono Syarifullah Yusuf