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All Journal Progress in Social Development Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Lina Nur Afifah
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Environmental Science Social Sciences

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INNOVATIVE STRATEGY FOR COMMUNITY EMPOWERMENT WITH A GENDER PERSPECTIVE IN THE KUAS JIRAK CSR PROGRAM: STRATEGI INOVATIF PEMBERDAYAAN MASYARAKAT BERPERSPEKTIF GENDER DALAM PROGRAM CSR KUAS JIRAK Lina Nur Afifah; Sabrina Hani Andhita
Progress In Social Development Vol. 5 No. 2 (2024): July 2024
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/psd.v5i2.100

Abstract

Ketimpangan gender yang dialami kelompok perempuan menjadikan mereka dikategorikan sebagai salah satu kelompok rentan. Artikel ini bertujuan untuk mengetahui praksis Program CSR Kuas Jirak yang dilakukan oleh PT Pertamina EP Tanjung Field dalam upaya pemberdayaan perempuan di Desa Jirak, Kecamatan Pugaan, Kabupaten Tabalong, Provinsi Kalimantan Selatan. Artikel ini menggunakan pendekatan kualitatif dengan model studi kasus untuk mengamati implementasi program CSR yang dijalankan perusahaan. Adapun data yang digunakan dalam penelitian ini berasal dari data wawancara, observasi dan studi kepustakaan. Hasil penelitian ini menunjukkan, 1) Program Kuas Jirak telah mampu merepresentasikan bentuk pemberdayaan masyarakat berperspektif gender melalui terbukanya akses bagi perempuan Desa Jirak dalam pelatihan dan kepemilikan modal, 2) Strategi yang digunakan oleh PT Pertamina EP Tanjung Field adalah mengadopsi konsep PKBM (Pusat Kegiatan Belajar Masyarakat) dan inovasi zero waste pengolahan ikan, 3) Program Kuas Jirak telah memberikan dampak positif di masyarakat di antaranya adalah peningkatan pengetahuan, penguatan jaringan sosial di masyarakat, penambahan sarana dan prasarana produksi, melawan stigma ketidakberdayaan perempuan, optimalisasi sumber daya alam, dan peningkatan perekonomian.
Sentiment Analysis of TikTok User Comments on The Free Nutritious Meal Program Using Support Vector Machine Lina Nur Afifah; Sri Rahayu; Purwadi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1879

Abstract

This study aims to analyze user sentiment when leaving comments on TikTok about the Free Nutritious Food Program (MBG) to understand how the public views the program. Comment data was obtained through online collection and then divided into three groups: positive, negative, and neutral. Before further processing, the data went through a text cleaning and stemming stage to reduce word variation. The data was then represented using the TF-IDF method before being classified with a Support Vector Machine algorithm. The evaluation results showed that using stemming provided more accurate results than without using stemming, thereby improving the model's ability to recognize sentiments contained in comments using informal language. Additional analysis using word clouds, n-grams, and topic modeling provided an overview of words and issues frequently appearing in public discussions regarding the program.
Co-Authors Purwadi Sabrina Hani Andhita SRI RAHAYU