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All Journal Safari : Jurnal Pengabdian Masyarakat Indonesia Nian Tana Sikka: Jurnal Ilmiah Mahasiswa
Ade Tiara Susilawati
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Penerapan Sistem Pakar Forward Chaining Dalam Menentukan Bakat Minat Siswa Ade Tiara Susilawati; Arbansyah Arbansyah
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 4 No. 1 (2024): Januari : Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v4i1.1180

Abstract

Education plays a crucial role in students' development, particularly in understanding their talents and interests. SDN 037 Kota Bangun faces challenges in efficiently and accurately determining the talents and interests of its students. In this community service initiative, an expert system using the Forward Chaining method is employed to address this issue. The service methodology includes problem identification, the design of a Visual Basic-based expert system, student training, and result evaluation. The expert system utilizes identified criteria through Forward Chaining to provide recommendations for students' talents and interests. Evaluation indicates positive feedback regarding understanding and ease of system use. The results of the community service show the positive contribution of the expert system in expediting the determination of students' talents and interests. However, further development is needed to enhance the system's accuracy, especially in handling students with more than one talent. This implementation is considered a positive initial step with potential for further advancement.
Analisis Sentimen Publik Pada Twitter Terhadap Boikot Produk Israel Menggunakan Metode Naïve Bayes Ade Tiara Susilawati; Nur Anjeni Lestari; Puput Alpria Nina
Nian Tana Sikka : Jurnal ilmiah Mahasiswa Vol. 2 No. 1 (2024): Nian Tana Sikka : Jurnal ilmiah Mahasiswa
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/niantanasikka.v2i1.240

Abstract

The conflict between Israel and Palestine has been a prominent topic of international discourse for several decades. This dispute spans a century, commencing in 1917 and persisting to the present day. This research delves into sentiment analysis of the Indonesian community concerning the Israel-Palestine conflict through the Twitter social media platform, with a specific focus on boycotting Israeli products. Utilizing Orange and Naive Bayes classification, the study analyzes over 300 datasets of tweets acquired through the scraping process. The objective is to comprehend the nuances, trends, and variations in sentiment among Twitter users regarding the issue of boycotting Israeli products. The results reveal that the majority of the population tends to support the boycott, with a Naive Bayes classification accuracy of 95%, Precission of 96%, Recall of 95%, and F1 Score of 95%. The data preprocessing process, encompassing transformation, tokenization, and filtering, effectively eliminates noise and prepares the data for a more in-depth sentiment analysis.
Co-Authors Arbansyah Arbansyah Nur Anjeni Lestari Puput Alpria Nina