Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang TERAJU : Jurnal Syariah dan Hukum
Mustafid Mustafid
Unknown Affiliation
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
MODEL REGRESI DATA PANEL SIMULTAN DENGAN VARIABEL INDEKS HARGA YANG DITERIMA DAN YANG DIBAYAR PETANI Bayyina Zidni Falah; Mustafid Mustafid; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.54 KB) | DOI: 10.14710/j.gauss.v5i4.14718

Abstract

Interdependent relationship (simultaneity) between endogenous variables, that’s Farmers Recieved and Paid Price Index, can’t be modeled in a single equation, but there are two equations in a system of simultaneous equations. Each of these equations can’t be estimated separately without entering information from other equations. The purpose of this research is modelling panel data regression simultaneously. The method that’s used is Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM) with estimation technique is Two Stages Least Square (2SLS). The modelling is done by a panel data consisting of 32 provinces in 2013, 2014, and 2015. Based on the results of the Chow test, Hausman test, F statistic, and the value of R2, the result is that REM is the most suitable model to model the simultaneity of the panel data. REM has different intercepts in each province. F statistic value for the first equation of 152,658 with a significance of 0.000, and R2 value of 83,2%. For the second equation, statistics F value of 44396,16 with siginifikansi 0,000, and R2 value of 99.9%. From the results of this modelling, the model that’s created can express the interdependent relationship between endogenous variables as well the diversity of variables between provinces.Keywords:      Panel data, CEM, FEM, REM, Farmers Recieved Price Index,Farmers Paid Price Index
KAJIAN SIX SIGMA DALAM PENGENDALIAN KUALITAS PADA BAGIAN PENGECEKAN PRODUK DVD PLAYERS PT X Nailatis Shofia; Mustafid Mustafid; Sudarno Sudarno
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.761 KB) | DOI: 10.14710/j.gauss.v4i1.8147

Abstract

Increasingly rapid development period, many industry sectors are growing and developing in Indonesia. Quality basic consumer decision factor in selecting goods and services. In the process of checking the audio end section 8 types of defects found on the product DVD players. Damage that occurs due to several factors, including factors human, material factors, and factors machines. If the quality of a company is said to have good production systems with process control. Six Sigma method is a method that can be used for analysis of the defect rate to approach zero defect products. The procedures used for quality improvement towards the target that the concept of Six Sigma DMAIC. This study aims to apply Six Sigma methods in quality control by conducting case studies to improve product quality DVD player at the end of the audio process. The results obtained in this study is on the whole production process mengkasilkan DPMO value of 5487 with sigma quality level of 4.04 means that the product of one million DVD players there are 5487 units of product that does not fit in production. Keywords : Quality, Statistical Quality Control, Six Sigma
PENDEKATAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION UNTUK PEMODELAN PERTUMBUHAN EKONOMI MENURUT KABUPATEN/KOTA DI JAWA TENGAH Pratama Ganang Widayaka; Mustafid Mustafid; Rita Rahmawati
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.356 KB) | DOI: 10.14710/j.gauss.v5i4.14729

Abstract

Global regression models with a multitude of residual variance in each region causing non-homoskedastisitas assumptions are not met. The diversity of the geographic location factors causing spatial heterogeneity. Geographically Weighted Regression (GWR) is a development of linear regression by involving diverse factors geographical location, so that the parameters generated will be local. GWR model is not able to model the combination of local and global influences in a model. So the purpose of forming a GWR Mixed models are able to establish a model GWR with local and global influences simultaneously. GWR Mixed Model is used to estimate the model Gross Regional Domestic Product (GRDP). As independent variables that influence is revenue (PAD/X1), a variable amount of labor (JAK/X2), the human development index (HDI/X3), unemployment rate (TPT/X4) and the regional minimum wage (UMR/X5). Mixed GWR model the variables that are local and which are global variables. Methods for estimating model parameters MGWR using Weighted Least Square (WLS). Weights obtained the appropriate model to estimate the optimal bandwidth by using the reference method Cross Validation (CV) is a minumum. MGWR models with adaptive exponential kernel function weighting on Gross Domestic Product in the districts / cities in Central Java to produce variable JAK, IPM and TPT have the nature of the locality an area that is significant to the later model PAD have a global nature that sigbifikan against the model. To mengengetahui error rate value model is used Akaike Information Criterion (AIC). Keywords:  Akaike Information Criterion, Bandwidth Cross Validation, Fungsi Kernel Gaussian, Mixed Geographically Weighted Regression, Weighted Least Square.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.322 KB) | DOI: 10.14710/j.gauss.v3i3.6456

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.663 KB) | DOI: 10.14710/j.gauss.v2i2.2776

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.251 KB) | DOI: 10.14710/j.gauss.v5i3.14703

Abstract

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
Larangan Perkawinan Bulan Tuwun Ditinjau Menurut Maqashid Syariah Mustafid Mustafid
TERAJU: Jurnal Syariah dan Hukum Vol 3 No 02 (2021)
Publisher : P3M dan Jurusan Syariah dan Ekonomi Bisnis Islam STAIN Sultan Abdurrahman Kepulauan Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35961/teraju.v3i02.289

Abstract

Di desa Sibiruang memiliki adat istiadat yang masih ditaati sampai saat sekarang, larangan perkawinan ketika bulan tuwun adalah salah satu adat istiadat yang masih di pertahankan oleh masyarakat hingga saat ini. Penelitian ini bertujuan untuk memahami larangan perkawinan ketika bulam tuwun dengan melihat dari sudut pandang Maqashid Syariah. Adat istiadat sangat menarik untuk diteliti karena akan selalu mengalami perkembangan atau perubahan dengan berubahnya waktu, begitu juga dengan hukum Islam akan bisa berubah dengan seiring berubahnya masa. Tulisan ini berupaya untuk mencari bagaimana pandangan Maqashid Syariah terhadap larangan perkawinan ketika bulan tuwun, dengan menggunakan pendekatan deskriptif kualitatif dengan mengemukakan tradisi larangan perkawinan ketika bulan tuwun. Hasil yang ditemukan bahwa agama Islam betujuan untuk menjaga keturunan (Hifdz Nasab) dan cara menjaganya adalah dengan perkawinan. Adanya larangan perkawinan ketika bulan tuwun membuat waktu diperbolehkan untuk menikah menjadi sempit, sehingga kemashalatan umat tidak didapatkan, pada dasarnya tidaklah dilarang untuk menikah pada waktu itu, kemudian ditakutkan juga ketika ada larangan seperti itu akan membuat pasangan yang akan menikah melakukan sesuatu yang senonoh karena tidak diperbolehkan menikah, atas dasar inilah larangan perkawinan ketika bulan tuwun tidaklah sesuai dengan Maqashid Syariah yang menginginkan kemashalatan umat.
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