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All Journal Jurnal Transformatika Al-Ihkam: Jurnal Hukum dan Pranata Sosial Pendas : Jurnah Ilmiah Pendidikan Dasar JITU : Journal Informatic Technology And Communication Jurnal Media Akademik (JMA) Jurnal DIMASTIK Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory Interdisciplinary Explorations in Research Journal (IERJ)
Nur Wakhidah
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Urgensi Aturan Agama Lokal Berbasis Hak Asasi Manusia: Studi Etnografi Praktik Beragama Komunitas Samin di Jawa Tengah Nur Wakhidah; Ahmad Subakir; Rasyid Rizani; Muhammad Yusman
Interdisciplinary Explorations in Research Journal Vol. 2 No. 1 (2024): Integration of Islamic Knowledge and Values in Education, Islamic Studies, Loca
Publisher : PT. Sharia Journal and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62976/ierj.v2i1.449

Abstract

Abstract This article aims to position local religions in Indonesian regulations, and then analyze the urgency of human rights-based regulation of local religions. The method in this article is the legal ethnography method. This research shows that there are local religious practices that experience discrimination from the state. State officials directed the Samin community to choose one of the state-recognized religions. This is contrary to human rights. This article argues that the state should regulate and recognize local religions based on human rights. The article finds that politically, the Samin community does not endanger the state, but instead shows nationalistic behavior and obeys the law. The noble agreement between the state and the Samin community is Pancasila and the 1945 Constitution. Keywords: urgency, rules, local religion , human rights Abstrak Artikel ini bertujuan memposisikan agama lokal dalam regulasi di Indonesia, selanjutnya menganalisis urgensi aturan agama lokal berbasis hak asasi manusia. Metode dalam artikel ini adalah metode etnografi hukum. Penelitian ini menunjukkan adanya praktik agama lokal yang mengalami diskriminasi dari negara. Aparat negara mengarahkan komunitas Samin untuk memilih salah satu agama yang diakui negara. Hal ini bertentangan dengan hak asasi manusia. Artikel ini mengajukan pendapat agar negara mengatur dan mengakui agama lokal berbasis hak asasi manusia. Artikel ini menemukan bahwa secara politis, komunitas Samin tidak membahayakan negara, justru menunjukkan perilaku nasionalisme dan taat pada hukum. Kesepakatan mulia antara negara dan komunitas Samin berupa Pancasila dan UUD 1945. Kata Kunci: urgensi, aturan, agama lokal, hak asasi manusia
Studi Komparatif Algoritma KNN, SVM, dan Naive Bayes untuk Analisis Sentimen pada Review Google Play Aplikasi Traveloka Nurul Siti Mukaromah; Nur Wakhidah
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.1861

Abstract

Sentiment analysis has become an important approach in understanding user opinions towards digital applications, especially on review platforms such as the Google Play Store. This study aims to compare the performance of three popular classification algorithms, namely K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Naive Bayes, in classifying sentiment in Traveloka application reviews. The methods used include collecting user review data from Google Play, preprocessing stages such as tokenization and stopword removal, and applying the three algorithms to the cleaned data. The evaluation was carried out using accuracy, precision, recall, and f1-score metrics. The dataset used consisted of 5000 review data that were evenly divided between positive and negative sentiments. The results showed that the SVM algorithm provided the best performance with an accuracy of 88%, followed by Naive Bayes at 86%, and KNN at 87%. The conclusion of this study states that SVM is more reliable in handling text-based sentiment analysis in the context of mobile application reviews. These findings are expected to be a reference in developing a more accurate sentiment analysis system for business needs and future research.
Co-Authors Ahmad Subakir Akmal Rizqan Rafliansyah Angela Baptista Bernadine Frederica Aning Wida Yanti Baptista, Angela Dian Nur Ulifatul Mahmudah Ergina Faralita Henri Septa Maulana Jalaluddin Jalaluddin Khoirotul Ummah Mida Mar`atus Sholihah Miftakhur Rahman Muhammad Yusman Mujiburohman Abas Nailil Inayah Nurul Siti Mukaromah Nurwijayanti Qamaruddin Raihanah Abdullah Rasyid Rizani Rizqy Dhafin Son Hajee Rofika Dwi Permata Sari Rudat Ilaina Alwanda Safira Nurfiani Safitri Fauzi Sekar Ayu Rahmawati Setiawan Adi Nugroho Sri Hidayati L. Wahyuni Fajar Arum Yosua Danny Santana Zulfa Jamalie