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All Journal Jurnal Manajemen Pelayanan Publik Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal Aplikasi Sistem Informasi dan Elektronika POLITICO
Rahayu, Yeni Dwi
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Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Social Sciences Transportation

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Building Sustainable Villages: The Kembang Desa Approach to BKP-MBKM Implementation Rachmaningsih, Emy Kholifah; Rahayu, Yeni Dwi; Wardhana, Danu Indra
Jurnal Manajemen Pelayanan Publik Vol 8, No 2 (2024): Jurnal Manajemen Pelayanan Publik
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmpp.v8i2.53230

Abstract

This study aims to describe the implementation of 'Kembang Desa' as a tourism village development model. This study uses a qualitative descriptive research method. The results of the study are the village development needs to be accelerated by increasing the use of natural potential, community potential, social institutional potential and local economic potential and local culture, as well as the potential of government officials to support the development of tourist villages. Local wisdoms of the community can be social capital for the development of tourist villages. This great potential needs to be developed through the alignment of innovative government policies by developing cooperation with various parties, including universities. Partnerships with Universities can be realized through the implementation of the Village Development BKP-MBKM. ‘Kembang Desa’ Model has succeeded in realizing university advocacy on the development of Kemiri Tourism Village. The implication of this research for the development of science is to strengthen understanding of the importance of collaboration between government, community and universities in exploiting local potential for developing tourist villages, while for improving managerial practice it is to provide guidance on how to implement the 'Village Development' model by involving various parties. innovatively to accelerate the development of tourist villages.
Implementation ‘Kembang Desa’ (Partnership of Village Building) as a BKP-MBKM Learning Model for Village Development Kholifah, Emy Kholifah; Rahayu, Yeni Dwi; Wardhana, Danu Indra
POLITICO Vol. 23 No. 1 (2023): JURNAL POLITICO FISIPOL
Publisher : Universitas Muhammadiyah Jember Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/politico.v23i1.383

Abstract

This study aims describe the implementation of 'Kembang Desa' as a tourism village development model. The need to accelerate the development of tourist villages, the need for a synergy of roles between various competent parties, and the need for a rationalization of the role of universities (students and lecturers) as agents of change in the community through the BKP-MBKM model for Village Development.Uuses a qualitative descriptive research method. The results of the study are the village development needs to be accelerated by increasing the use of natural potential, community potential, social institutional potential and local economic potential and local culture, as well as the potential of government officials to support the development of tourist villages. Kemiri Tourism Village which has the characteristics of a mountainside village, the direction of its development has the potential for natural beauty, the potential for agriculture-plantation and processing of agricultural products, and the unique culture of the community and various other local wisdoms of the community can be social capital for the development of tourist villages. This great potential needs to be developed through the alignment of innovative government policies by developing cooperation with various parties, including universities. Partnerships with Universities can be realized through the implementation of the Village Development BKP MBKM. ‘Kembang Desa’ Model has succeeded in realizing university advocacy on the development of Kemiri Tourism Village
Pelatihan Pembuatan Pupuk Organik Petrokatul dan Peningkatan Literasi Digital bagi Poktan Tani Setia Desa Jambearum Basuki, Basuki; Sari, Vega Kartika; Rahayu, Yeni Dwi
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 5 No. 1 (2024)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v5i1.132

Abstract

Pupuk merupakan faktor penting dalam pertumbuhan dan perkembangan tanaman budidaya. Permasalahan petani Desa Jambearum adalah kelangkaan pupuk subsidi anorganik, sehingga perlu upaya penyediaan pupuk. Limbah padat kotoran sapi hanya dibiarkan menumpuk dan mengering di sekitar kandang. Padahal limbah tersebut dapat diolah menjadi pupuk organik. Terbatasnya pengetahuan petani dalam inovasi pengolahan limbah dan pembuatan pupuk organik dikarenakan tingkat pendidikan yang rendah dan kurangnya literasi digital. Akses internet telah tersedia di Desa Jambearum, namun penggunaannya masih sebatas media sosial. Tujuan kegiatan ini untuk memberikan pelatihan pembuatan pupuk petrokatul dan peningkatan literasi digital bagi petani. Metode yang dilakukan melalui sosialisasi, pelatihan, dan praktek bersama. Dampak kegiatan ini adalah terjadi peningkatan pengetahuan pembuatan pupuk petrokatul (90%) dan peningkatan keterampilan dalam pencarian informasi di internet (70%) bagi anggota Poktan Tani Setia.
ANALISIS BIG DATA DENGAN METODE MULTINOMIAL NAÏVE BAYES TERHADAP KLASIFIKASI MEDIA PEMBERITAAN Alfain, Asfik; Oktavianto, Hardian; Rahayu, Yeni Dwi
IPTEQ Vol 3, No 2 (2021): JASIE
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jasie.v3i2.8522

Abstract

Media pemberitaan merupakan sebuah sebaran informasi berupa fakta yang disebarkan melalui media online, cetak, maupun siaran televisi dan radio. Saat ini media yang paling diminati adalah berbasis internet yang tersusun atas beberapa kategori berita contohnya kesehatan, seleb, news, olahraga, otomotif, travel, musik, dll. Pengklasifikasian artikel berita saat ini masih dilakukan secara manual sehingga memerlukan banyak waktu. Solusi yang diperlukan adalah sebuah sistem yang dapat mengklasifikasi artikel berita dengan otomatis. Pengklasifikasian ini menggunakan metode Multinomial Naïve Bayes dengan jumlah 19.200 dataset kemudian diukur dengan menggunakan confusion matrix dan diperoleh tingkat akurasi tertinggi sebear 74%, presisi 98%, recall 93%.
OPTIMASI METODE MULTINOMIAL NAÏVE BAYES DENGAN MENGGUNAKAN METODE LEVENSHTEIN DISTANCE PADA ULASAN APLIKASI KAI ACCESS Fariz, Muhammad Ivan; Arifianto, Deni; Rahayu, Yeni Dwi
IPTEQ Vol 5, No 1 (2023): JASIE
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jasie.v5i1.20990

Abstract

KAI Access merupakan aplikasi untuk mempermudah pengguna dalam mengakses layanan dan informasi terkait tiket perjalanan kereta api. KAI Access memiliki fitur ulasan beraneka ragam yang merupakan wadah bagi pengguna untuk memberikan feedback. Pada penelitian ini akan dilakukan analisis sentimen terhadap data ulasan KAI Access sejumlah 8713 data ulasan. Metode yang digunakan yaitu multinomial naïve bayes dan metode levenshtein distance. Dari kombinasi metode tersebut diharapkan dapat meningkatkan hasil klasifikasi. Seluruh data akan dilakukan pemodelan menggunakan metode K Fold Cross Validation dengan nilai k=2,3,4,5,6,7,8,9 dan 10. Berdasarkan hasil pengujian menggunakan multinomial naïve bayes diperoleh nilai tertinggi yaitu akurasi sebesar 92%, tingkat presisi sebesar 60% dan tingkat recall sebesar 45%. Sedangkan kombinasi metode multinomial naïve bayes-levesnhtein distance mangalami peningkatan pada pengujian K-ke 9 yang awalnya menggunakan multinomial naïve bayes saja mendapatkan nilai akurasi 83%, presisi 59% dan recall 44%, kemudian meningkat ketika menggunakan kombinasi metode levenshtein distance sebesar akurasi 84%, presisi 60% dan recall 46%. Proses pengujian yang telah dilakukan dapat disimpulkan bahwa optimasi multinomial naïve bayes menggunakan levenshtein distance meningkatkan hasil akurasi, presisi dan recall sebesar 1-2%.
Co-Authors Alfain, Asfik Arifianto, Deni Basuki , Emy Kholifah Fariz, Muhammad Ivan Kholifah, Emy Kholifah Oktavianto, Hardian Vega Kartika Sari Wardhana, Danu Indra