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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Nuansa Informatika Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal Journal of Information Technology and Computer Science (JOINTECS) Bina Insani ICT Journal Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Pendidikan dan Konseling Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal Sensi: Strategic of Education in Information System Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS BERNAS: Jurnal Pengabdian Kepada Masyarakat Innovative: Journal Of Social Science Research Jurnal INFOTEL
Yuyun Umaidah
Departemen Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Singaperbangsa Karawang, Karawang, 41361
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ANALISIS SENTIMEN MASYARAKAT TERHADAP PROGRAM MAKAN SIANG GRATIS PADA MEDIA SOSIAL X MENGGUNAKAN ALGORITMA NAÏVE BAYES Altolyto Sitanggang; Yuyun Umaidah; Riza Ibnu Adam
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4902

Abstract

Dalam era digital, media sosial seperti X, Facebook, dan Instagram telah menjadi bagian penting dari kehidupan modern, memungkinkan individu untuk berbagi pandangan dan opini dengan cepat. Salah satu topik hangat di X adalah program makan siang gratis dari pasangan calon presiden nomor urut 02, yang bertujuan meningkatkan gizi anak dan ibu hamil, mencakup 82,9 juta orang. Program ini memicu beragam tanggapan masyarakat. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap program tersebut menggunakan algoritma Naïve Bayes dan metode Knowledge Discovery in Database (KDD). Data dikumpulkan melalui crawling pada media sosial X, menghasilkan 2.211 tweet yang kemudian diseleksi dan diberi label sentimen positif dan negatif. Algoritma Naïve Bayes diuji dengan tiga skenario pembagian data training dan testing, dan dievaluasi menggunakan confusion matrix. Hasil evaluasi menunjukkan model mencapai hasil terbaik pada rasio data 60:40 dengan akurasi 72,2%, presisi 63,2%, recall 66,1%, dan F1-Score 64%. Keywords: Naïve Bayes, KDD, Makan Siang Gratis, X, Sentimen.
Peningkatan Pengetahuan dan Keterampilan Masyarakat Melalui Pembibitan Jamur Merang Di Desa Pasirukeum Kabupaten Karawang Suhaeni Suhaeni; I Ketut Manu Mahatmayana; Indrajit Wicaksana; Yuyun Umaidah
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v4i1.3810

Abstract

Straw mushrooms are one of the food ingredients that contain lots of nutrients and are liked by the community. One of the villages that became the center of straw mushrooms in Karawang Regency is Pasirukeum Village. The mushroom in this village was developed by farmers who are members of the Sri Muncul farmer group. However, over time, the production of straw mushrooms are decreasing year by year. One of the contributing factors is the low quality of mushroom seeds and the lack of knowledge and skills of farmers in conducting nurseries. Based on these problems, this community service activity aims to help the community provide solutions, namely in the form of socialization and training in nursery of straw mushroom . The method used is counseling and training on seed production of straw mushroom. There are four indicators used to measure farmers' knowledge, which are related to seeding and cultivation, mushroom quality, farming risk and income. The results of the implementation show that the knowledge of farmers (partners) about breeding and cultivation has increased by 27%, farmers' knowledge regarding the quality of straw mushrooms has increased by 22.1%, increased knowledge of farmers related to farming risks has increased by 25.6% and increased knowledge of farmers related to income in farming. increased by 23.7%. The average increase in knowledge and skills of farmers as a whole is 24.6%.
Co-Authors Ahmad Ridhoi Fajri Altolyto Sitanggang Apriade Voutama Asep Jamaludin Bintang Sifa Amalia Budi Arif Dermawan Chaerur Rozikin Dina Amelia Alzahra Dwi Latifah Rianti Fajar Romadoni Falih Pramataning Dewi Farid Farid Hendi Permana I Ketut Manu Mahatmayana Indrajit Wicaksana Jaman, Jajam Haerul Kardo Trihandoko Khoirunnisa Hamidah Mayland Trifena Mochammad Riszky Sulaeman Mohammad Rizal Givari Muhammad Nur Yasin Nur Maelani Asih Priskila Siwi Aryni Purwantoro Purwantoro Renaldy Permana Sidiq Rianti, Winda Richard Julianno Soeganda Rini Mayasari Risna Alfiani Riza Ibnu Adam Suhaeni, Suhaeni Tiara Destiana Titan Nugraha Ultach Enri Ultach Enri