Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
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
Unknown Affiliation
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

Published : 62 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : PROSIDING SEMINAR NASIONAL

 1 
MODELLING JAKARTA COMPOSITE INDEKS USING SPLINE TRUNCATED Alan Prahutama; Suparti Suparti; Sugito Sugito; Tiani Wahyu Utami
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: PROCEEDING 1ST INSELIDEA INTERNATIONAL SEMINAR ON EDUCATION AND DEVELOPMENT OF ASIA (INseIDEA)
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (564.334 KB)

Abstract

Regression analysis can be done by parametric and nonparametric approach. The nonparametric approach does not assume an assumption compared to parametric. One nonparametric approach is the spline truncated. Spline is a polynomial piece that provides high flexibility. Spline modeling requires spline and knots. To determine the knots using General Cross Validation (GCV). In this study modeled the value of Jakarta Composite  Index (JCI). JCI provides benefits to know the overall stock price in the stock exchange Indonesia. In this study the best spline model is linear with three knots with R square is 94.34%. Keywords: Jakarta Composite’s Index, Spline truncated, GCV.
KAJIAN PEMODELAN SPLINE UNTUK DATA LONGITUDINAL SEBAGAI PERKEMBANGAN DARI REGRESI NONPARAMETRIK Suparti Suparti; Alan Prahutama; Rukun Santoso
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.275 KB)

Abstract

Regression analysis can be approached by using parametric, semi-parametricand nonparametric regression approaches. One of nonparametric regressionapproach that great developed was Spline truncated, including for modelinglongitudinal data. Longitudinal data is data that consisting of several subjectswhich is each subject is observed repeatedly based on a certain time. Theadvantages of longitudinal data has provided more complexcityof  informationthan cross section and time series data. The spline approach was a segmentedpolynomial regression approach. Spline provides high flexibility due to the useof knot points. To determine the optimal knot points using Generalized CrossValidation (GCV). The principle of determining the optimum point of knot oflongitudinal data using spline truncated is basically the same as with Splinemethod  for cross section data, that is determination of knot point based on eachsubject. However, the estimation is done simultaneously so that each subject hasits own model. Keywords: Spline Truncated, GCV, Knot points.
COLLABORATIVE WRITING: ANALYZING STUDENT’S RESPONSES IN WRITING ACTION RESEARCH PROPOSAL Eni Dwi Lestariningsih; Suparti Suparti; Testiana Deni Wijayatiningsih; Dwi Ampuni Agustina
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: PROCEEDING 1ST INSELIDEA INTERNATIONAL SEMINAR ON EDUCATION AND DEVELOPMENT OF ASIA (INseIDEA)
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.052 KB)

Abstract

This study aims to analyze the student’s responses in writing action research proposals. The method  of this research is the descriptive quantitative.  The subject of this study was UT Semarang students 2018.1 in Pokjar Kaliwungu Kendal who took Action Research courses. The data collection technique used questionnaires by giving a set of questions or written statements to respondents to answer them. The results of the student’ s responses analysis before and after the Colaborative Writing model application showed that there was an increase in the average student’ s activeness because they were more enthusiastic in writing Classroom Action Research proposals by collaborating in writing with groups according to the developed teaching materials. Their tendency to more easily determine the topic of research using the Collaborative Writing model.Keywords: analyzing, writing research, collaborative writing, student’s responses
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