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All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang TERAJU : Jurnal Syariah dan Hukum

Mustafid Mustafid

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Author-ID : 2977090

Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Other

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PENERAPAN METODE KORESPONDENSI BERSAMA UNTUK ANALISIS PERUBAHAN PERILAKU PENGGUNA SMARTPHONE Isowedha Widya Dewi; Mustafid Mustafid; Abdul Hoyyi
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Competition is extremely tight in the technology sector including smartphones , the manufacturers compete to satisfy the desire of consumers with a variety of innovations. This study aims is form joint correspondence plot to determine whether consumers switch from one type to the other types of smartphones, as well as knowing what respondents consider when buying a smartphone . By adding a time variable data on methods of joint correspondence, changes in consumer behavior can be determined within a certain time . Time variables used was from 2011 to 2013 and smartphones that will be compared is Blackberry, Android and iOS. From the resulting graph can be seen that many kinds of smartphones used in each time variable and variables that affect the time of purchase . After doing research , showed that smartphone users in 2011, mostly used a Blackberry switched to Android in 2012 and 2013. Blackberry users at the time of puchase paid attention to the brand , color , design , and camera , but did not pay attention to prestige . Android users paid attention to completeness of the application , RAM , data capacity , color , resale price and network coverage . While iOS is not widely used by respondents from 2011 to 2013. iOS users considered the prestige , but did not consider the brand , design and battery life.

ANALISIS PENGARUH KUALITAS LAYANAN DAN KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN PADA ONLINE SHOP MENGGUNAKAN STRUCTURAL EQUATION MODELING Fina Fitriyana; Mustafid Mustafid; Suparti Suparti
Jurnal Gaussian Vol 2, No 2 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Semakin meningkatnya jumlah pengguna internet membawa dampak yang besar bagi dunia bisnis dengan berbelanja lewat internet sebagai lifestyle. Fenomena ini membuat para pebisnis mulai beralih dari pemasaran tradisional ke pemasaran modern seperti membuka toko online lewat website maupun social media. Penelitian ini bertujuan menganalisa pengaruh kualitas layanan dan kualitas produk terhadap loyalitas pelanggan pada online shop. Model yang dipakai adalah model e-SERVQUAL dan metode analisisnya menggunakan structural equation modeling (SEM). Hasil dari penelitian ini menunjukkan adanya hubungan antara kualitas layanan dan kualitas produk terhadap loyalitas pelanggan pada online shop. Variabel indikator daya tanggap memiliki pengaruh yang paling besar terhadap variabel kualitas layanan pada online shop. Sedangkan, variabel indikator daya tahan memiliki pengaruh yang paling besar terhadap variabel kualitas produk pada online shop.

METODE REGRESI DATA PANEL UNTUK PERAMALAN KONSUMSI ENERGI DI INDONESIA Mariska Srihardianti; Mustafid Mustafid; Alan Prahutama
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Panel data regression is a method that aims to model the effect of one or more predictor variables on the response variable, observed in some sectors of an object of research for a specific time period. To estimate the panel data regression model, there are three approaches, namely Common Effect Model (CEM), Fixed Effects Model (FEM) and Random Effects Model (REM). In estimating the parameters for each model, there are several methods that can be used based on the assumption of the structure residual variance-covariance matrix, that is Ordinary Least Square/Least Square Dummy Variable (OLS/LSDV), Weighted Least Square (WLS) dan Seemingly Unrelated Regression (SUR). This research aims to implement the panel data regression to analyze the effect of GDP on energy consumption in Indonesia for each sector. Panel data regression model that has been obtained then is used to predict the amount of energy consumption in Indonesia for each sector in 2015 and 2016 using trend analysis. The analysis showed that the panel data regression model corresponding to the data of energy consumption in Indonesia in 1990-2014 is Fixed Effect Model (FEM) with Cross-section SUR, with R2 value is 0.975943. Forecasting results show energy consumption in Indonesia in 2015 and 2016 will increase to the household sector and transport. Whereas for industrial, commercial and others sectors will decline in 2015 and then increase in 2016. Keywords : Panel Data, Fixed Effect Model, SUR, Trend Analysis, Energy Consumption

Co-Authors Abdul Hoyyi Agus Rusgiyono Alan Prahutama Ari Fakhrus Sanny Bayyina Zidni Falah Dewi Erliana Dian Andhika Prameswara Dina Rosmalia Listya Utami Dwi Ispriyanti Dwi Ispriyanti Dwi Ispriyanti Enggar Nur Sasongko Fina Fitriyana Isowedha Widya Dewi Luthfi Nashukha Dewi Mariska Srihardianti Mohamad Reza Pahlevi Nailatis Shofia Nesvi Intan Oktajayanti Pratama Ganang Widayaka Rita Rahmawati Sudarno Sudarno Sugito Sugito Suparti Suparti Triastuti Wuryandari Yunanur Hanikmah

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