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All Journal International Journal of Engineering, Science and Information Technology J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Ari Hendarno
Universitas Negeri Jakarta
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Analisis Sentimen terhadap Kebijakan Pengembalian Penjurusan di Sekolah Menengah Atas Menggunakan Algoritma Random Forest Saire Fernando; Mulyono; Ari Hendarno; Ersa Resita; Carli Apriansyah Hutagalung
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 9 No 01 (2026): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKOMA.091.02

Abstract

In the 2025/2026 academic year, the Minister of Education, Culture, Research, and Technology (Permendikbudristek) planned to reinstate majors in high schools. This policy quickly sparked public debate, generating a variety of responses from the public, particularly on YouTube. This study was conducted to analyze public sentiment towards this policy using the Random Forest algorithm. Data was obtained through YouTube comment collection between April 2025 and June 2025, which yielded 4,181 comments. The analysis showed that YouTube comments on videos regarding the policy of reinstating majors in the high school curriculum had a more positive response than negative, with a ratio of 18.3% compared to 5%, with a total of 76.7% neutral. The model's performance in classifying sentiment achieved an overall accuracy of 83.16%, with a precision of 77.56%, indicating a fairly reliable model prediction. However, recall was at 57.25%, indicating that the model still had difficulty detecting all data in small classes such as positive and negative. Overall, the model's performance is represented by an F1-score of 61.26%. This research is expected to serve as a consideration for education leaders or the Minister of Education, Culture, Research, and Technology in determining whether a policy needs to be enacted or changed.
Web-Based Math Braille Translator Using Indonesian Braille Symbols Ari Hendarno; Andira Azzahra; Muhammad Eka Suryana
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.506

Abstract

According to estimates from the Indonesian Ministry of Health in 2017, at least 3,750,000 people in Indonesia have visual impairments. This significant number highlights the need for special attention to their educational needs, especially in mathematics. Educational media is essential to facilitate learning for visually impaired students and educators, as they often struggle with understanding math due to limited access to visual content. One solution is to use Mathematical Braille symbols, yet technology that translates these symbols into mathematical text is still limited. To address this, the author has developed a web-based Math Braille Translator application aimed at assisting visually impaired individuals and educators. This website translates mathematical Braille into notation by inputting Braille using the keys s, d, f, j, k, and l on the keyboard. The application is developed using the waterfall methodology and is based on the Indonesian Mathematical Braille Symbol Reference NOMOR 056/U/2000.
Co-Authors Andira Azzahra Carli Apriansyah Hutagalung Ersa Resita Muhammad Eka Suryana Mulyono Saire Fernando