PENGARUH KUALITAS LAYANAN PENGUSAHA MANDIRI “YUSUF KASIM” TERHADAP KEPUASAN PELANGGAN DALAM USAHA PERDAGANGAN IKAN DEMERSAL ANTAR KOTA MANADO
Bibliographic record
Abstract
Abstract In carrying out the demersal fish trading business between cities many owners of capital or entrepreneurs who are less concerned about the quality of services provided to customers in various aspects. The problem formulation in this study, namely how to influence the quality of inter-city services independent entrepreneurs "Yusuf Kasim" to customer satisfaction demersal fish in Manado City? The purpose of this study was to determine the variables that affect what services the customer satisfaction demersal fish in the city of Manado. The method used in this study is a survey method. Survey method is a study that takes a sample of the population and the questionnaire as a data collection tool that principal (Singarimbun and Effendi, 1995). The final result of the data collection form a complete picture of the issues presented in the form of tables of data and variables were analyzed quantitatively. The variables measured in this study are: 1) timeliness in deliveries of fish, namely the difference between the time of booking and arriving fish were booked (the day), 2) the stability of the price of fish, namely fluctuations in the price of fish were booked (RM), 3 ) quality of the fish is requested, namely the level of freshness of the fish orders, and 4) the suitability of fish products, which match the ordered fish and fish received. In order to determine the model of customer satisfaction, which marked a long time consumers patronize demersal fish, used multiple regression analysis. Based on the results and discussion can be concluded as follows: 1) customer satisfaction products demersal fish between cities is generally determined by the stability of prices and quality of fish order, 2) linear regression equation for inventory decisions demersal fish in the city of Manado, namely: Y = 1, 40 to 1.15 X1 + 0.875 X2 + 1.28 + 0.25 X3 X4 with the relationship (R2 = 0.84), 3) the variable X1 (Timeliness), X2 (price stability), X3 (Fish Quality) and X4 (Product Conformity) jointly affect Y, 4) partial effect variables are variables X2 and X3, namely price stability and the quality of fish order to customer satisfaction. Keyword: demersal, trade, service, satisfaction Abstrak Dalam menjalankan usaha perdagangan ikan demersal antar kota banyak pemilik modal atau pengusaha yang kurang memperhatikan mengenai kualitas layanan yang diberikan kepada para pelanggan dalam berbagai aspek. Perumusan masalah dalam penelitian ini, yaitu bagaimana pengaruh kualitas layanan antar kota pengusaha mandiri “Yusuf Kasim” terhadap kepuasan pelanggan ikan demersal di Kota Manado? Tujuan dari penelitian ini adalah untuk mengetahui variable-variabel layanan apa saja yang berpengaruh terhadap kepuasan pelanggan ikan demersal di kota Manado. Metode yang digunakan dalam penelitian ini adalah metode survei. Metode survei merupakan penelitian yang mengambil sampel dari satu populasi dan menggunakan kuesioner sebagai alat pengumpul data yang pokok (Singarimbun dan Effendi, 1995). Hasil akhir pengumpulan data berupa gambaran lengkap permasalahan yang disajikan dalam bentuk tabel-tabel data dan variabel-variabel yang dianalisis secara kuantitatif. Variabel-variabel yang diukur dalam penelitian ini ialah : 1) ketepatan waktu dalam mengantar pesanan ikan, yaitu selisih waktu pemesanan dan waktu tiba ikan yang dipesan (hari), 2) kestabilan harga ikan, yaitu fluktuasi harga ikan yang dipesan (Rp), 3) kualitas ikan yang diminta, yaitu tingkat kesegaran ikan pesanan, dan 4) kesesuaian produk ikan, yaitu kecocokan ikan yang dipesan dan ikan yang diterima. Guna menentukan model kepuasan konsumen, yang ditandai lama waktu berlanggan konsumen ikan demersal, digunakan analisis regresi berganda. Berdasarkan hasil dan pembahasan dapat diambil kesimpulan sebagai berikut : 1) kepuasan pelanggan produk ikan demersal antar kota pada umumnya ditentukan oleh kestabilan harga dan kualitas ikan pesanan, 2) persamaan regresi linear untuk keputusan persediaan ikan demersal di Kota Manado, yaitu : Y = 1,40 - 1,15 X1 + 0,875 X2 + 1,28 X3 + 0,25 X4 dengan keeratan hubungan (R2 = 0,84), 3) variabel X1 (Ketepatan Waktu), X2 (Kestabilan Harga), X3 (Kualitas Ikan) dan X4 (Kesesuaian Produk) secara bersama-sama mempengaruhi Y, 4) variabel yang berpengaruh secara parsial adalah variable X2 dan X3, yaitu kestabilan harga dan kualitas ikan pesanan terhadap kepuasan pelanggan. Kata kunci : demersal, perdagangan, layanan, kepuasan
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".