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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI BUDIDAYA KERAMBA IKAN DI KECAMATAN SIAK HULU KABUPATEN KAMPAR Suerni, Suerni; Rita, Iyan Yani; Rahmita, Ningsih B.
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Vol 7, No 2 (2020): (Juli - Desember 2020)
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study was to determine the factors that influence the production of fish cage cultivation in Siak Hulu District, Kampar Regency. The population is all cage owners in Siak Hulu Subdistrict of Kampar Regency as many as 220 people, with a total sample of 69 people. The sampling technique uses random sampling. The type of data used is primary data and secondary data, while the data collection technique uses a questionnaire. Data analysis method used in this study is to use multiple linear regression. The results showed that the production of fish cage cultivation in Siak Hulu District, Kampar Regency was influenced by land and natural resources, labor and capital factors. This means that as land and natural resources, labor and capital factors increase, fish cage production also increases.Keywords: Production, Land and Natural Resources, Labor, Capital
Perbandingan Algoritma Naïve Bayes, C4.5, dan K-Nearest Neighbor untuk Klasifikasi Kelayakan Program Keluarga Harapan Ramadani, Putri; Fadillah, Riszki; Adawiyah, Quratih; Suerni, Suerni; Al Ghazali, Baginda Restu
Jurnal Media Informatika Vol. 6 No. 1 (2024): Jurnal Media Informatika Edisi September - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i1.6083

Abstract

Penelitian ini bertujuan membandingkan kinerja tiga algoritma klasifikasi—Naïve Bayes, C4.5, dan K-Nearest Neighbor (K-NN)—dalam menentukan kelayakan penerima Program Keluarga Harapan (PKH) di Rantau Prapat. Dataset terdiri dari 109 data keluarga dengan variabel seperti pendapatan, jumlah tanggungan, status pekerjaan, dan kepemilikan aset. Pengolahan dan analisis data dilakukan menggunakan RapidMiner Studio, dengan evaluasi kinerja berdasarkan akurasi, presisi, recall, dan Area Under Curve (AUC). Hasil penelitian menunjukkan bahwa algoritma C4.5 memberikan kinerja terbaik dengan akurasi 91,8%, presisi 90,7%, recall 92,3%, dan AUC 0,944. Naïve Bayes mencatat akurasi 87,2% dan recall 88,9%, sedangkan K-NN menghasilkan akurasi 89,9% dan recall 91,1%, namun memerlukan komputasi lebih tinggi. Temuan ini menunjukkan bahwa C4.5 lebih efektif dalam mengklasifikasikan kelayakan penerima PKH secara akurat dan efisien. Penelitian ini menegaskan potensi algoritma machine learning dalam mendukung pengambilan keputusan pada program bantuan sosial. Studi lanjutan disarankan untuk memperluas cakupan data dan mengeksplorasi metode klasifikasi lainnya guna optimalisasi distribusi bantuan.
Application of Politeness Theory in Digital Communication: Impacts and Implications for Online Interactions Suerni, Suerni
International Journal of Educational Research Excellence (IJERE) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijere.v3i2.889

Abstract

The objective of this research is to gather data pertaining to the significance of polite language usage on social media platforms and the influence of impolite language on social media interactions. This research, which focuses on language politeness in social media, employs a qualitative research method that collects data and then analyzes it in a way that produces a complete written work. The source data for this research are obtained from a variety of websites offering related information and a number of published works addressing the same background. The analysis of these diverse sources is an essential component of the research process. The findings presented here are limited to an investigation of social media, polite language, and the potential implications of applying politeness theory in everyday life. The data collected for this study was analyzed and sorted into categories that can be used as material for this research project's writing. From these analyses, it can be concluded that there is a notable influence of polite language in the digital media world and its impact on everyday life. The implementation of politeness in digital language has a positive influence in real life, as observed in this study.