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All Journal Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Algoritma
Ucta Pradema Sanjaya
Universitas Ngudi Waluyo
Computer Science & IT Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Social Sciences

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Penyuluhan Inovatif: Talent Management dan AI Digital Brainstorming sebagai Upaya Pembentukan Kepribadian Unggul Peserta Didik MA Darul Ma’arif Pringapus Satria Avianda Nurcahyo; Ahmad Ali; Ucta Pradema Sanjaya; Priyanto Priyanto; Teguh Harso Widagdo; Kustiyono Kustiyono; Noor Laila Ramadhani; Pipit Sundari; Yeni Indraningtyas
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 1 (2026): JANUARI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i1.3154

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan peserta didik MA Darul Ma’arif Pringapus dalam mengelola potensi diri melalui penerapan Talent Management dan teknologi AI Digital Brainstorming sebagai sarana pembentukan kepribadian unggul. Latar belakang kegiatan ini berangkat dari tantangan dunia pendidikan modern yang menuntut generasi muda untuk memiliki kepribadian adaptif, kreatif, dan berdaya saing di era digital. Metode pelaksanaan meliputi penyuluhan interaktif, simulasi penggunaan AI brainstorming tools, serta pendampingan personal dalam mengidentifikasi bakat dan minat peserta didik. Hasil kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta memahami konsep talent mapping, berpikir kritis, serta mengoptimalkan teknologi digital untuk pengembangan diri. Peserta didik juga menunjukkan antusiasme tinggi terhadap penerapan teknologi kecerdasan buatan sebagai sarana eksplorasi ide dan pemecahan masalah secara inovatif. Kegiatan ini memberikan dampak positif terhadap pembentukan karakter mandiri, percaya diri, serta tangguh menghadapi perubahan. Dengan demikian, penyuluhan inovatif berbasis Talent Management dan AI Digital Brainstorming menjadi langkah strategis dalam menyiapkan peserta didik berkepribadian unggul di lingkungan pendidikan madrasah.Kata kunci: penyuluhan inovatif, talent management, AI digital brainstorming, kepribadian unggul, peserta didik
A Analisis Sentimen Publik terhadap Program Makan Bergizi Pemerintah (MBG) pada Media Sosial X Menggunakan Metode Support Vector Machine Windi Haria Ningsi; Ucta Pradema Sanjaya
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3413

Abstract

The Nutritious Meal Program (MBG) is one of the government’s initiatives to improve the nutritional quality of society. This study aims to analyze public sentiment toward the MBG program on social media platform X in order to provide a quantitative overview of public perception. The data used consisted of 1,938 public posts containing keywords related to the MBG program. The analysis stages included text preprocessing, namely data cleaning, tokenization, stopword removal, and stemming. Furthermore, feature representation was carried out using the TF-IDF method, while sentiment classification was performed using the Support Vector Machine (SVM) algorithm to categorize the data into positive, neutral, and negative sentiments. The results indicate that the classification model achieved an accuracy rate of 96.69 percent, demonstrating excellent model performance. Based on the classification results, sentiment distribution was dominated by negative sentiment, followed by neutral and positive sentiments, indicating that public responses toward the MBG program tend to be critical. These findings suggest that although the MBG program has received significant public attention, there are still various criticisms and feedback that can serve as evaluation material for the government in improving the effectiveness and implementation of the program.
Co-Authors Abiyyu Dhonan Pratomo Ahmad Ali Cahya Annisyah Waruwu Kustiyono Noor Laila Ramadhani Pipit Sundari Priyanto Priyanto Satria Avianda Nurcahyo Teguh Harso Widagdo Windi Haria Ningsi Yeni Indraningtyas