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All Journal Jurnal Sintak International Journal of Economic, Technology and Social Sciences (Injects) STATISTIKA
Harahap, Diana Sari
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The Impact of Online Sales on The Sustainability of Conventional Traders in Sekupang District, Batam City Harahap, Diana Sari; Betricia , Jesicca; Rahayu , Sri; Jonathan, Steven; Sihombing, Urianto; Handayani, Vitri Aprilla; Handayani, Lilies
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.243

Abstract

Pedagang konvensional adalah individu atau kelompok yang sedang berada di suatu lokasi terbuka terjadi kegiatan transaksi jual beli dengan memungkinkan proses tawar-menawar. Dengan zaman yang semakin modern keberlanjutan pedagang konvensional dapat dipengaruhi dengan adanya penjualan online. Oleh karena itu penulis tertarik untuk melakukan penelitian untuk mengetahui seberapa besar pengaruh adanya penjualan online terhadap keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik pengambilan data yaitu data primer melalui kuisioner. Metode analisa data dilakukan dengan menggunakan uji statistik regresi linear sederhana. Berdasarkan analisis data yang telah dilakukan diketahui adanya penjualan online mempengaruhi keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam.
Assessing the Impact of CRM on Customer Loyalty Through Linear Regression Analysis Harahap, Diana Sari; Agustalinda Nora; Fithra Maharani
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 6 No. 1 (2025): Mei 2025
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53695/injects.v6i1.1318

Abstract

This study aims to determine the effect of Customer Relationship Management (CRM) on customer loyalty at PT Bank Mandiri (Persero) Tbk Padangsidimpuan Branch. The research method used is quantitative, with a data collection approach through observation, questionnaires, interviews, and documentation studies. Data analysis was carried out using simple linear regression techniques, hypothesis testing (t test), and the coefficient of determination (R²) test. The results showed that the regression coefficient value was +0.509, which indicated a positive relationship between CRM and customer loyalty. Hypothesis test analysis produces at value of +6.364 with a significance level of 0.000, which is smaller than 0.05. This shows that CRM has a positive and significant effect on customer loyalty partially. Based on the coefficient of determination analysis, the R² value of 43.9% indicates that CRM is able to explain 43.9% of customer loyalty variability, while the remaining 56.1% is influenced by other factors not discussed in this study. Thus, this study concludes that Customer Relationship Management has a significant influence on customer loyalty at PT Bank Mandiri (Persero) Tbk Padangsidimpuan Branch. These results strengthen the hypothesis that CRM is an important factor in building and increasing customer loyalty.
ARIMA (p, d, q) Modeling for Predicting Exports of Fresh and Chilled Fish Based on Market Conditions and Main Destination Countries : The Case of Indonesia 2012-2022 Handayani, Vitri Aprilla; Sulistyono, Eko; Sunarsono, Hery; Arafi, Adamsyam; Harahap, Diana Sari
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3376

Abstract

ABSTRACT Fresh and chilled fish are the largest contributor to Indonesia's fishery product exports, accounting for a share of 45% or around USD 2.2 billion in 2021. The main destination countries for Indonesia's fresh and chilled fish exports include China, the United States, Japan, and other European countries. This research aims to analyze the factors influencing the export value of Indonesia's fresh and chilled fish, as well as to identify and evaluate the ARIMA (p, d, q) model based on historical data from 2012-2022. The result is an ARIMA (4,2,2) model with a MAPE value of 2.208 and a predicted value for the 2023 period of 4351 tons. This is in line with the large exports of fresh fish from Indonesia to various destination countries.
Co-Authors Agustalinda Nora Arafi, Adamsyam Betricia , Jesicca Eko Sulistyono Sulistyono Fithra Maharani Handayani, Vitri Aprilla Jonathan, Steven Lilies Handayani Rahayu , Sri Sihombing, Urianto Sunarsono, Hery