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Suherman Suherman
Matematika, Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Analisis Tingkat Kepuasan Pelanggan Terhadap Pelayanan Coffeeshop (Studi Kasus pada Coffeeshop Bacarito Kopi di Padang) Putri Rahmania Sari; Suherman Suherman
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.813 KB) | DOI: 10.24036/unpjomath.v5i1.8912

Abstract

Abstract —This research was conducted because it has quite high competitiveness of Coffeeshop in Padang so that it is necessary to consider the quality of service which is one way to retain old customers and attract new customers. The quality of service consists of empathy, responsiveness, reliability, tangible and assurance. This studyaaims.to-determine the-level0of customer-satisfaction and service quality-of Coffee Bacarito Coffeeshop. The number of samples=of this-study were 96 customers-from Bacarito Coffee Coffeeshop. The data analysis using the Customer Satisfaction Index (CSI) method. The Customer Satisfaction Index value were obtained 81.87%. The services provided by the Coffee Bacarito Coffeeshop get good overall good overall results so it can be categorized as meeting the expectations of its consumers. This illustrates that Coffeeshop customers are very satisfied with the quality of service performance that Coffeeshop provides. The service that needs to be improved are the responsiveness of employees in dealing with customer complaints, the reliability of Coffeeshop Bacarito Coffee in the open-closed schedule on time, also raise the awareness of customers feedback.Keywords — Customer Satisfaction Index, Coffeeshop Bacarito Kopi, Customer Satisfaction
Penentuan Nilsi Opsi Saham Karyawan (OSK) dengan Memperhitungkan Efek Dilusi dengan Menggunakan Metode Black-Scholes Annisa Fitri; Suherman Suherman
Journal of Mathematics UNP Vol 5, No 2 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.679 KB) | DOI: 10.24036/unpjomath.v5i2.8922

Abstract

Abstract — This research will discuss how to determine the value of Employee Stock Options (ESO), in calculating it has a different way from other options. Dilution effects that causes a decrease in stock price returns that will be taken into account. This research is based on relevant theory and case examples will be simulated using computer software. The movement of stoks price will be modeled by the Black-Scholes method. The results of this study will get the ESO value and also see some influence of parameters. The influence of the parameters of interest rates (r) and volatility ( ) has a value directly proportional to the value of ESO. While the strike price (K), the rate of employees leaving the company ( ) and the length of waiting period (v) is inversely proportional to the value of ESO. Keywords —employee stocks options, dillution effect, black-scholes model.
Metode Pemulusan Eksponensial Tripel TipeBrown pada Peramalan Jumlah Produksi Jagung Kabupaten Lima Puluh Kota Tina Islamiati; Suherman Suherman
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (829.383 KB) | DOI: 10.24036/unpjomath.v5i1.8916

Abstract

Abstract—Corn is the main staple food after rice which is a buffer for national food security. Apart from that it is also the main raw material for the animal feed industry  in Lima Puluh Kota. More than 55% of corn production is used as animal feed ingredients. The purpose of this study was to establish a forecasting model for the amount of corn production in Lima Puluh Kota using the Brown’s exponential smoothing method and predict the amount of corn production based on the model that was formed. This type of research is applied research and the data used are secondary data obtained from the official website of the Central Statistics Agency of Lima Puluh Kota. Forecasting method used is the Brown Type Triple Exponential Smoothing Method. From the forecasting model the forecast results are obtained in years 2018 and 2019 that is 31.751,598 ton dan 39.509,526 ton. Keywords—Corn Production Amount, Forecasting,  Smoothing Exponential.
Co-Authors Annisa Fitri Putri Rahmania Sari Tina Islamiati