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ANALISIS EFISIENSI PEMASARAN JERUK SIAM DI KECAMATAN TEBAS KABUPATEN SAMBAS Anita -; Ani Muani; Adi Suyatno
Jurnal Sains Pertanian Equator Vol 1, No 1: Desember 2012
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v1i1.546

Abstract

Salah satu daerah sentra produksi jeruk siam adalah di Kecamatan Tebas Kabupaten Sambas. Tujuan penelitian adalah mengetahui saluran pemasaran yang paling efisien, mengetahui besarnya keuntungan dari masing-masing lembaga pemasaran, mengetahui struktur pasar dan keterpaduan pasar antara pasar produsen dengan pasar konsumen di pontianak. Penelitian dilakukan dengan metode survei. Hasil penelitian menunjukan saluran pemasaran I jeruk siam efisien dan saluran pemasaran II untuk kelas D dan E belum efisien. Apabila dilihat dari segi keuntungan, maka keuntungan tertinggi terletak pada saluran pemasaran II kelas AB sebesar Rp 3.318/Kg. Struktur pasar yang dihadapi petani mengarah pada struktur pasar oligopoli terdeferensiasi dan pedagang pengumpul jeruk siam mengarah pada pasar oligopsoni terdeferensiasi, serta ditingkat pedagang pengecer bentuk pasar yang terjadi adalah pasar oligopsoni terdeferensiasi. Analisis tingkat keterpaduan pasar menunjukkan bahwa pasar terintegrasi kuat antara pasar ditingkat produsen dengan tingkat konsumen serta terintegrasi jangka panjang. Kata Kunci : Margin Pemasaran, Farmers Share, Profitability Index, Struktur Pasar, Indek Keterpaduan Pasar.
Analysis Of Customer Satisfaction With Solaria Restaurants In Medan City Using K-Means Clustering Method Marpaung, Udur Mega; -, Anita; Gulo, Sapriliyani
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 8 No. 1 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

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

Abstract

Customer satisfaction is the key to the success of a company in the modern business context. In strategic planning and business management, a focus on customer satisfaction has become essential to ensure that the services a company provides not only retain customers but also enable sustainable growth. In the case of Solaria Restaurant, it helps to find groups of customers with comparable satisfaction patterns, which allows businesses to optimize their marketing strategies and improve their service quality. Specifically, this study uses the K-Means Clustering method to evaluate customer satisfaction with Solaria Restaurant services. The research utilized an online questionnaire distributed to 250 surveyed people to assess factors such as service response and the physical appearance of the restaurant that affect customers' perceptions of the business. The results showed that customer satisfaction is generally considered very good, the results of clustering analysis of customer satisfaction at Solaria Restaurant resulted in the number of very good clusters is cluster I. This result increases our understanding of customer preferences. These results increase our understanding of customer preferences and build a basis for improvement strategies that focus more on improving the customer experience.