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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) AMMA : Jurnal Pengabdian Masyarakat
Dienwati, Nisa
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Humanities Chemistry Computer Science & IT Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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PENERAPAN ALGORITMA NAÏVE BAYES DAN K-NEAREST NEIGHBOR UNTUK ANALISIS SENTIMEN YOUTUBE MENGENAI INTENSIF MOBIL LISTRIK Caswadi, Caswadi; Dienwati, Nisa; Dwilestari, Gifthera; Fathurrohman, Fathurrohman; Tohidi, Edi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 6 (2023): JATI Vol. 7 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i6.8252

Abstract

Dampak pemanasan global terhadap perubahan iklim telah menarik perhatian dari berbagai pihak. 27% dari polusi udara disebabkan oleh transportasi. Di berbagai negara, pemerintah telah menerapkan langkah-langkah untuk mengurangi polusi udara dengan mendorong masyarakat untuk beralih menggunakan kendaraan listrik. Namun keberhasilan pemerintah untuk mengkampanyekan teknologi mobil listrik tergantung pada sentimen dan pemahaman masyarakat. Tujuan penelitian ini untuk menganalisa sentimen publik. Dataset digunakan dalam penelitian ini ialah 1517 data komentar di laman youtube mengenai intensif mobil listrik. Berdasarkan analisis, sebagian besar komentar youtube memiliki sentimen negatif (57,4%), sementara jumlah komentar yang positif (33,3%) dan netral (9,3%). Penelitian ini menerapkan metode Naïve Bayes dan K-Neareast Neighbor. Hasil penelitian menunjukan bahwa metode K-Nearest Neighbor memberikan hasil klasifikasi yang lebih baik dengan Accuracy sebesar 93,23%, precision 93,91% dan recall 91,56%. Sedangkan Naïve Bayes memperoleh hasil Accuracy 86,95%, precision 80,51%, dan recall 91,23%.
Optimalisasi Media Sosial Sebagai Sarana Promosi Produk Pertanian Desa Dienwati, Nisa; Suarna, Nana; Fikri Ulumudin, Achmad; Luthfi, Achmad
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The agricultural sector in villages has great potential to produce high-quality products but still faces challenges in marketing. One major issue is the limited knowledge and skills of farmers in utilizing social media as a promotional tool. Through this community service program, training and mentoring were provided to farmers and agricultural entrepreneurs to enhance their understanding of digital marketing. Activities included the creation and management of business social media accounts, training in creating engaging promotional content (photos, videos, and copywriting), and branding and packaging strategies. The program showed significant improvements in farmers' abilities to market their products independently through platforms such as Instagram, Facebook, and WhatsApp Business. Farmers who previously relied solely on middlemen have now started to sell directly to consumers online. Some partners also reported increased sales and social media engagement. Additionally, the formation of a digital farmer community strengthened promotional networks and experience sharing among agricultural players. This program not only encouraged independent marketing but also enhanced the competitiveness of local agricultural products in broader markets. The program's sustainability is strongly recommended through follow-up mentoring, paid advertising training, and improved digital infrastructure in rural areas. Thus, using social media as a promotional tool becomes not just a short-term solution but a sustainable strategy to drive rural digital economic growth.
Co-Authors Caswadi, Caswadi Fathurrohman Fathurrohman Fikri Ulumudin, Achmad Gifthera Dwilestari Luthfi, Achmad Suarna, Nana Tohidi, Edi