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All Journal PROSIDING SEMINAR NASIONAL JPK (Jurnal Pendidikan Khusus) Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang Pedagogi : Jurnal Penelitian Pendidikan Majalah Kulit, Karet, dan Plastik Bioeksperimen: Jurnal Penelitian Biologi Journal of English Education, Linguistic and Literature JURNAL PENA EDUKASI Academy of Education Journal Social, Humanities, and Educational Studies (SHEs): Conference Series Jurnal Teknodik Indonesian Journal of Instructional Media and Model Proceeding Biology Education Conference
Suparti Suparti
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Jurnal Gaussian

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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PENGGUNAAN TRANSPORTASI PRIBADI PADA MAHASISWA MENGGUNAKAN PENDEKATAN PARTIAL LEAST SQUARE (Studi Kasus pada Universitas Diponegoro Semarang) Martyanto Tedjo; Sugito Sugito; Suparti Suparti
Jurnal Gaussian Vol 6, No 2 (2017): 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 (637.66 KB) | DOI: 10.14710/j.gauss.v6i2.16950

Abstract

The process of structural development in developing countries is a must. Each sector that developed is related to one another. These sectors associated with the supporting factor named transport, means transport has a vital and strategic functions in the development of other sectors. Education is one of the construction sector that growing rapidly, especially in big cities, and transportation is one of the factors supporting it: since schools and universities is one of the important generator of domestic transportation network. Each university holds up to tens of thousands of new college students every year. In this point, the transport activity in big cities is becoming increasingly complex, due to the increase in the private transportation is not matched by the increase in roads, causing congestion. Factors that influence the decision of the use of private transport on the student comprehensively analyzed using structural equation based on the variance, Partial Least Square (PLS). PLS is a powerful analytical method, though it’s not based on many assumptions (soft model), for example, the multivariate normal assumptions, it can use nominal scale up to ratios, as well as the sample size shouldn’t be large. PLS estimates the model  od relationship between latent variables and also latent variables with the indicator. Based on the analysis we concluded that the decision on the use in private transportations of Diponegoro University students affected by a combination of latent variables such time management, cost, physical, social interaction, and the intervening variable perception of 68.28%.Keywords: transportation, using of private transportation, Partial Least Square (PLS) 
PERBANDINGAN METODE REGRESI LOGISTIK BINER DAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) PADA PEMINATAN JURUSAN SMA (Studi Kasus SMA Negeri 2 Semarang) Ratih Binadari; Yuciana Wilandari; Suparti Suparti
Jurnal Gaussian Vol 4, No 4 (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 (569.953 KB) | DOI: 10.14710/j.gauss.v4i4.10234

Abstract

Major specialization at High School is aimed to gives opened opportunity for students to choose subject that are interest and develop their potential in accordance with the abilities, interests, talents, and personality. Major specialization at High school is influenced by some factors. To detect those factors, used biner logistic regression method and Multivariate Adaptive Regression Spline (MARS). Biner Logistic Regression is method that describes relationship between dependent variable and some independent variable, with independent variable has been coded 1 as representing the presence of the characteristic, and 0 as representing the absence of the characteristic. MARS is multivariate nonparametric regression method that development of Recursive Partitioning Regression (RPR) method and Spline method for high dimensional data that produces accurate prediction and continuous models on knots. Both of the methods are compared to know the best method used in research. From the result of analysis using biner logistic regression method and MARS, concluded that major specialization has been influenced by mathematic score, science score and relationship between students and friends. From proportion test, concluded classification that formed by regression logistic is as good as by MARS. Keywords : Major specialization at High School, Biner Logistic Regression, Mutlivariate Adaptive Regression Spline (MARS), Clasification
Co-Authors Abdul Hoyyi Agus Rusgiyono Ahmad Reza Aditya Akhmad Zaki Alan Prahutama Aminah Asngad Any Setyaningsih Bayu Ariawan Budi Warsito Bunga Maharani C Yuwono Sumasto Di Asih I Maruddani Diah Budiati Diah Safitri Dimas Kevin Natanael Dini Puspita Dwi Ampuni Agustina Dwi Ispriyanti Dyah Ayu Kusumaningrum Ebeit Devita Simatupang Elyas Darmawan Eni Dwi Lestariningsih Fajar Heru Setiawan Fina Fitriyana Firda Megawati Gita Suci Ramadhani Hafii Risalam Hanifa Eka Oktafiani Happy Suci Puspitasari Hasbi Yasin Icha Puspitasari Indah Puspaningrum Indra Satria Indra Satria Iwan Ali Sofwan Kartikaningtiyas Hanunggraheni Saputri Khoirunnisa Nur Fadhilah Lailly Rahmatika Lintang Afdianti Nurkhasanah M. Ali Ma'sum Martyanto Tedjo Moch. Abdul Mukid Muhammad Saibani Wiyanto Musandingmi Elok Nurul Islam Mustafid Mustafid Ndaru Dian Darmawanti Nonik Brilliana Primastuti Novia Agustina Onny Kartika Hitasari Rambat Rambat Ratih Binadari Ria Sutitis Rita Rahmawati Riyan Eko Putri Rizky Dwi Rahmawati Rukun Santoso Seta Satria Utama Shinta Karunia Permata Sari Singgih Subiyantoro Siti Anisah Siti Romlah Sri Budiasih Sudarno Sudarno Sugito Sugito Sulthon Masyhud Sulton Syafii Katijaya sunardi sunardi Swasnita Swasnita Tarno Tarno Testiana Deni Wijayatiningsih Tiani Wahyu Utami Triastuti Wuryandari Umi Sulistyorini Adi Vivi Meidina Amalia Wardani Ana Safitri Wasis Wicaksono Widari Widari Wulan Safitri Yossinta Intaniasari Yuciana Wilandari Yudi Ari Wibowo Yusuf Arifka Rahman