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All Journal Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Technology and Informatics (JoTI)
Arbangi Puput Sabaniyah
Universitas Amikom Purwokerto
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Pelatihan Dan Pendampingan Mendesain Penulisan Artikel Ilmiah Berbasis Teknologi Informasi Menggunakan Trello Bagi Guru Pungkas Subarkah; Primandani Arsi; Septi Oktaviani Nur Hidayah; Arbangi Puput Sabaniyah
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 1 (2023): Vol.4 No.1, October 2023
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v4i1.416

Abstract

Dalam menciptakan Sumber Daya Manusia (SDM) yang unggul di lingkungan salah satunya dengan meningkatkan kemampuan dan keahlian guna mewujudkan guru yang berkualitas di Indonesia. Salah satunya dengan memberikan pelatihan menulis.  Tujuan pelatihan dan pendampingan ini ialah untuk meningkatkan kompetensi para guru SMA Negeri Wangon dalam mendesain artikel ilmiah menggunakan Trello. Metode dalam pelatihan ini meliputi persiapan kegiatan, pelaksanaan kegiatan dan evaluasi kegiatan. Pelaksanaan dilakukan pada hari Rabu, 05 Juli 2023, dengan jumlah peserta sejumlah 30 guru. Hasil pelatihan ini yaitu pengetahuan dan pendampingan penggunaan Trello semakin meningkat dibuktikan dengan evaluasi peserta pelatihan 92% peserta pelatihan merasakan peningkatan kemampuan tentang mendesain artikel ilmiah agar lebih terstruktur dalam menyusun artikel ilmiah  serta dapat digunakan sebagai penunjang bapak dan ibu guru serta menjadi portofolio seorang guru.
Sentiment Perspective of Government's Free Nutritious Meal Policy on Social Media X using Indo-BERT and Bi-LTSM Pungkas Subarkah; Ali Nur Ikhsan; Epri Anggraeni; Arbangi Puput Sabaniyah
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1065

Abstract

This research has the potential to make an important contribution to the development of computationally-based sentiment analysis, especially in the context of government policies regarding the Free Meal Program that will be implemented throughout Indonesia. This research was conducted using Indo-BERT and Bi-LSTM algorithms. These approaches were used to categorize emotions into three groups: neutral, negative, and positive. Data is obtained from posts on social media X, then after processing the data, it will be applied to both algorithms, namely Indo-BERT and Bi-LSTM. The research findings show that the model's performance in determining the public sentiment of government policies. Validation and valuation were conducted using the f1 score, recall, and precision metrics. The evaluation findings show that the Indo-BERT algorithm is better than the Bi-LSTM algorithm with an accuracy value of 80% for Indo-BERT and 78% for the accuracy value of the Bi-LSTM algorithm, and the Indo-BERT accuracy value is included in the good classification accuracy value. The sentiment analysis results are also represented by word clouds for each positive, negative and neutral class, providing an intuitive picture of the words frequently used in public discourse on free nutritious meals.
Co-Authors Ali Nur Ikhsan Epri Anggraeni Primandani Arsi Pungkas Subarkah Septi Oktaviani Nur Hidayah