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All Journal Jupiter AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian
Agustian, Andri
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

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THE INFLUENCE OF FARMER ABILITY AND FARMER MOTIVATION ON INCOME OF LARGE RED CHILI FARMING BUSINESS IN CIBEUREUM VILLAGE, SUKAMANTRI DISTRICT, CIAMIS REGENCY Agustian, Andri; Nuraini, Candra; Atmaja, Unang
Agrisaintifika: Jurnal Ilmu-Ilmu Pertanian Vol. 9 No. 2 (2025): Agrisaintifika
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ags.v9i2.6325

Abstract

This research aims to (1) the level of ability of large red chili farmers (2) the level of motivation of large red chili farmers (3) the level of income from large red chili farming (4) Analyzing the influence of farmer ability and farmer motivation on farming income in Cibeureum Village, Sukamantri District, Regency Ciamis. Data collection in this research used a survey method carried out in Cibeureum Village, Sukamantri District, Ciamis Regency. The number of respondents in this study was 32 respondents. The analysis in this research uses descriptive analysis and multiple linear regression analysis. The research results show that the level of farmers' ability to earn income is categorized as high. The level of motivation of farmers regarding farming income in Cibeureum Village, Sukamantri District, Ciamis Regency is categorized as high. The income level of large red chili farming is categorized as high. Farmers' abilities and farmers' motivation influence the income of large red chili farming in Cibeureum Village, Sukamantri District, Ciamis Regency. The Adjust R Square results show that farmer ability and farmer motivation have an influence of 69.30 percent on farming income.
Analisis Komparatif K-Means dan Hierarchical Clustering Menggunakan Validasi Internal Clustering Awaludin, Shafwan; Agustian, Andri; Capricorna, Epsilona Katiga; Ilham, Muhammad Raihan; Rumi, Nur Ananda; Tundjungsari, Vitri
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 18 No 1 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18384228

Abstract

Clustering ialah salah satu pendekatan unsupervised learning yang bertujuan mengelompokkan informasi bersumber pada tingkatan kemiripan karakteristiknya tanpa memakai label kelas. Tata cara K- Means serta Hierarchical Clustering jadi algoritma yang kerap digunakan sebab konsepnya simpel dan gampang diimplementasikan. Riset ini bertujuan menyamakan kinerja tata cara K- Means serta Hierarchical Clustering memakai validasi internal cluster buat memperhitungkan mutu hasil pengelompokan. Dataset yang digunakan diperoleh dari salah satu web penyedia informasi terbuka berbasis website yang sediakan informasi numerik serta sudah banyak dimanfaatkan pada riset informasi mining. Proses riset dimulai dengan akuisisi informasi, preprocessing, pelaksanaan algoritma K- Means serta Hierarchical Clustering, dan penilaian hasil clustering memakai validasi internal berbentuk Silhouette Coefficient, Davies- Bouldin Index, serta Calinski- Harabasz Index. Hasil pengujian menampilkan kalau tiap- tiap tata cara mempunyai ciri yang berbeda pada pembuatan cluster. K- Means cenderung menciptakan cluster yang lebih kompak, sebaliknya Hierarchical Clustering membagikan visualisasi ikatan antar informasi yang lebih jelas lewat dendrogram. Nilai validasi internal menampilkan tata cara dengan mutu clustering terbaik tergantung pada struktur informasi yang digunakan. Riset ini diharapkan bisa jadi rujukan dalam pemilihan tata cara clustering yang cocok bersumber pada ciri informasi serta kebutuhan analisis.
Co-Authors Atmaja, Unang Awaludin, Shafwan Candra Nuraini, Candra Capricorna, Epsilona Katiga Ilham, Muhammad Raihan Rumi, Nur Ananda Vitri Tundjungsari