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All Journal Script Journal: Journal of Linguistic and English Teaching JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi The Indonesian Journal of Computer Science
Saefurrohman
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Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Komparasi Tingkat Akurasi Sentimen Algoritma K-Nearest Neighbor Dan Naïve Bayes Pemilihan Gubernur Jawa Tengah 2024 di Sosial Media X Ariyanto, Fajar; Saefurrohman
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.332

Abstract

This study highlights the importance of selecting appropriate algorithms for text data analysis and provides recommendations for future exploration of other machine learning and deep learning models to improve the accuracy of sentiment analysis. This research compares the accuracy level of the K-Nearest Neighbor (KNN) and Naïve Bayes algorithms in sentiment analysis in the 2024 Central Java gubernatorial election using data from the social media platform X (formerly Twitter). The data consists of 1,337 posts classified as positive or negative sentiment. Data crawling was done using RapidMiner, and analysis was done via Python in Google Colab. The research results show that the KNN algorithm achieves the highest accuracy of 81%, while Naïve Bayes has a maximum accuracy of 79%. The KNN algorithm is superior in handling text data because of the dependent calculations between attributes, while Naïve Bayes which uses independent calculations has slightly lower performance. This research provides insight into the reaction of public sentiment towards the candidate for governor of Central Java, where the Andhika-Hendi pair received more positive sentiment than Lutfi-Yasin
Pendampingan dan Penerapan Wordpress dalam Pengelolaan Website di KONI Kabupaten Kendal Sariyun Naja Anwar; R. Soelistijadi; Sri Eniyati; Saefurrohman
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i2.1674

Abstract

Website merupakan sarana dalam mengumpulkan, menyimpan, dan menyajikan informasi yang relevan kepada masyarakat, seperti informasi produk, layanan, kebijakan, berita, dan lainnya. WordPress menjadi salah satu pilihan untuk membuat Content Management System yang digunakan untuk membangun dan mengelola website. Komite Olahraga Nasional Indonesia (KONI) Kabupaten Kendal dalam menyajikan informasi olahraga saat ini melalui media sosial berupa Instagram. Hanya saja menurut pengurus KONI Kab. Kendal masih memiliki beberapa kekurangan dengan hanya melalui instagram. Untuk itu dibutuhkan teknologi informasi agar dapat menyajikan informasi tersebut dengan cepat dan efektif kepada masyarakat berupa website berbasis WordPress. Tujuannya melakukan pendampingan mengelola website. Metodenya dengan lima tahapan : Identifikasi masalah, Solusi Permasalahan, Pemenuhan Kebutuhan, Pelaksanaan kegiatan, dan Monitoring dan evaluasi. Manfaatnya ada peningkatan komunikasi dengan menyediakan informasi berkaitan olahraga pada masyarakat.
Innovative Approaches to English Language Teaching in Indonesian Public Islamic Schools: Insights and Challenges Saefurrohman; Balinas, Elvira S.; Rosadi, Abas; Nafisah, Shofia Lina; Pascarina, Hanifa
Script Journal: Journal of Linguistics and English Teaching Vol. 9 No. 1 (2024): April
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/sj.v9i1.1611

Abstract

Background: In Indonesia's public Islamic secondary schools, English Language Policy and Planning (ELPP) faces challenges such as resource limitations, a lack of qualified educators, and a non-standardized curriculum. However, despite these challenges, compared to ASEAN peers like the Philippines, Indonesia's approach lacks focus on student-centered learning, underscoring the need for enhanced ELPP strategies. Methodology: Four English language teachers and one headmaster participated as respondents in this research to provide comprehensive data findings. Data were collected through interviews conducted over the course of one month, employing guided questions. Subsequently, descriptive analysis was utilized to analyze the data. Findings: English's mandatory integration in secondary education, especially in Madrasah Tsanawiyah, highlights its crucial academic role. Analyzing educational policies and curricular shifts, from competency-based to the Merdeka curriculum, showcases Indonesia's deliberate push for English proficiency. Interviews stress the Merdeka Curriculum's CEFR alignment, prioritizing student empowerment through learner-centered methods and technology. Despite efforts, challenges remain in public Islamic schools, with teachers advocating for supportive environments due to limited exposure and resources. Conclusion: The complex nature of these challenges necessitates the cooperation of politicians, educators, and administrators to establish an atmosphere that promotes successful English language acquisition while also honoring Indonesia's distinct cultural and linguistic diversity. Originality: This study uniquely explores ELPP in Indonesia's public Islamic secondary schools, highlighting the balance between English proficiency and cultural preservation, offering fresh insights into the ELPP discourse in a multicultural and multilingual context.
Penggunaan Teknologi Natural Language Processing dalam Sistem Chatbot untuk Peningkatan Layanan Informasi Administrasi Publik Nadzif, Mukhamad Abid; Saefurrohman; Soelistijadi, R.
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3645

Abstract

Penelitian membahas pengembangan chatbot dengan platform DialogFlow yang terintegrasi pada aplikasi Telegram untuk menyediakan informasi layanan administrasi di Pemerintahan Desa Tosari. Tujuannya adalah untuk meningkatkan kualitas layanan publik khususnya informasi layanan administrasi melalui sistem terpadu di tingkat desa guna mempercepat aliran informasi yang diperlukan, berupa pengembangan sistem kecerdasan buatan berupa Chatbot. Chatbot adalah program yang mampu berkomunikasi dengan manusia melalui pesan teks atau suara. Dengan menggunakan pemrosesan Natural Language Processing (NLP) yang merupakan bagian dari kecerdasan buatan, memungkinkan pengguna untuk berinteraksi dengan komputer menggunakan bahasa sehari-hari, seolah-olah sedang berbicara dengan manusia. Pengujian Usability dengan System Usability Scale (SUS) dan pengujian pengalaman pengguna pada chatbot dengan User Experience Questionnaire (UEQ) menunjukkan hasil yang positif, pengujian SUS memperoleh nilai akhir sebesar 86 dan UEQ memperoleh rata – rata nilai skala diatas 0,8, yaitu berada pada level Excellent. Hal ini menunjukkan bahwa implementasi chatbot efektif dalam memberikan informasi layanan administrasi di Pemerintahan Desa Tosari
Co-Authors Ariyanto, Fajar Balinas, Elvira S. Hanifa Pascarina Nadzif, Mukhamad Abid Nafisah, Shofia Lina R. Soelistijadi Rosadi, Abas Sariyun Naja Anwar Sri Eniyati