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Journal : Journal of Management Analytical and Solution

Implementation of Management Information Systems at Janji Jiwa Coffee Shop in Medan Selayang City to Improve Customer Satisfaction Lubis, Muhammad Arif; Sembiring, Malinda Sari; Riyansyah, Ahmad; Sentosa, Chandra
Journal Of Management Analytical and Solution (JoMAS) Vol. 4 No. 2 (2024): Journal Of Management Analytical and Solution
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomas.v4i2.16499

Abstract

Indonesia's coffee market has grown significantly in recent years, and a large number of coffee shops have opened up. In the face of fierce competition, the Janji Jiwa Coffee Shop in Medan, Selayang City, must strive to retain and grow its clientele. This research aims to determine the application of the Management Information System used to increase customer satisfaction at Janji Jiwa coffee shop. This research uses a quantitative approach with survey methods. Data was collected from 30 customers of Janji Jiwa Coffee Shop in Medan Selayang through a specially designed questionnaire. Data analysis was carried out using descriptive statistical methods and linear regression to test the relationship between SIM implementation and customer satisfaction. The final regression results indicate that the dependent variable, Consumer Satisfaction of Janji Jiwa Medan Coffee, Medan Selayang District, is significantly impacted (p < 0.05) by the independent variable, Management Information System. Customer satisfaction at the Janji Jiwa Coffee Shop in Medan Selayang has increased dramatically once SIM was implemented. These results suggest that coffee shops can enhance consumer loyalty and streamline their operations by implementing SIM.
Forecasting Rice Production for Strategic Decision Making in Agribusiness Management: Aplication of Brown’s Double Exponential Smoothing in Batubara District Riyansyah, Ahmad; Pasaribu, Ayu Novita Sari
Journal Of Management Analytical and Solution (JoMAS) Vol. 5 No. 3 (2025): Journal Of Management Analytical and Solution
Publisher : TALENTA Publisher, Universitas Sumatera Utara

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

Abstract

An assessment of what will occur in the future is called a forecast.  For Indonesians, rice is a staple food, and because of its most crucial role, forecasting is required to satisfy community demands.  For that, we require an indicator that can use Brown's double exponential smoothing method to illustrate the rise and fall in Batu Bara District's rice production in 2021.  The time series approach, which employs historical data to forecast future events, includes Brown's double exponential smoothing method. Using the parameter α, the data demonstrates a trend.  The value that yields the least Mean Square Error (MSE) is the ideal parameter value.  The data processing results indicate that the parameter α = 0,1 has an MSE of 362.579.150,59.  The volume of rice output in 2021 is predicted to be 118.082,84 tons using the forecasting equation F_(t+m) = 117.773,25+309,5m.