Garuda - Garba Rujukan Digital

p-Index From 2019 - 2024

5.161

P-Index

This Author published in this journals

All Journal Media Statistika MATEMATIKA SAINS DAN MATEMATIKA Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang

Agus Rusgiyono

Departemen Statistika, Fakultas Sains Dan Matematika, Universitas Diponegoro

Author-ID : 366013

Decision Sciences, Operations Research & Management Mathematics Other

Published : 106 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

PREDIKSI INFLASI BEBERAPA KOTA DI JAWA TENGAH TAHUN 2014 MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE (VAR) Utami, Tika Nur Resa; Rusgiyono, Agus; Sugito, Sugito
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Inflation is a situation where there is an increase in the general price level. Inflation for goods and services purchased by consumers is measured by changes in the Indeks Harga Konsumen (IHK). Determination of the amount, type and quality of commodities in the package of goods and services in the IHK is based on the Survey Biaya Hidup (SBH). In Central Java, there are only four cities covered in the implementation of SBH, namely Purwokerto, Solo, Semarang, and Tegal. It was the underlying researchers took the four cities. In this case, researchers taken for the period of 2009-2013. Inflation Purwokerto, Solo, Semarang, and Tegal is a multivariate time series that show activity for a certain period. One method to analyze multivariate time series is Vector Autoregressive (VAR). VAR method is one of the multivariate time series analysis of variables that can be used to predict and assess the relationship between variables. Inflation researchers predict that by 2014 the four cities using VAR (1). Chosen VAR (1) is based on the results of some tests. VAR (1) have the optimal lag value, there is no correlation between the residual lag, and the value Root Mean Square Error (RMSE) is smaller than the other models. Keywords: Inflation, IHK, SBH, Multivariate Time Series, Forecasting, Vector Autoregressive (VAR).

PENGGUNAAN REGRESI LOGISTIK BINER DAN ITERATIVE DICHOTOMISER 3 (ID3) DALAM PEMBUATAN KLASIFIKASI STATUS KERJA (Studi Kasus Penduduk Kota Surakarta Tahun 2015) Winastiti, Lugas Putranti; Rusgiyono, Agus; Safitri, Diah
Jurnal Gaussian Vol 6, No 3 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Discussing about the macro economy usually discuss about unemployment. Unemployment basically can not be fully eliminated. Unemployment usually symbolized with an employment status of person. In this research, two methods were used in making the classification of employment status in the population of the city of Surakarta in February 2015, the methods are binary logistic regression and Iterative Dichotomiser 3 (ID3) Algorithm. Predictor variables used in determining employment status were age, gender, status in the household, marital status, education and work training. Comparison of the training data and testing data is 60:40. Based on calculations obtained binary logistic regression variables that significantly affect the employment status are age, gender and marital status and the accuracy using testing data is 75%, while the calculations of a decision tree using iterative dichotomiser 3 algorithm the accuracy using testing data is 75%. Keywords: Classification, Iterative Dichotomiser 3 Algorithm, Binary Logistic Regression

ANALISIS CREDIT SCORING MENGGUNAKAN METODE BAGGING K-NEAREST NEIGHBOR Fatimah, Fatimah; Mukid, Moch. Abdul; Rusgiyono, Agus
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

According to Melayu (2004) credit is all types of loans that have to be paid along with the interest by the borrower according to the agreed agreement. To keep the quality of loans and avoid financial failure of banks due to large credit risks, we need a method to identified any potentially customer’s with bad credit status, one of the methods is Credit Scoring. One of Statistical method that can predict the classification for Credit Scoring called Bagging k-Nearest Neighbor. This Method uses k-object nearest neighbor between data testing to B-bootstrap of the training dataset. This classification will use six independence variables to predict the class, these are Age, Work Year, Net Earning, Other Loan, Nominal Account and Debt Ratio. The result determine k =1 as the optimal k-value and show that Bagging k-Nearest Neighbor’s accuracy rate is 66,67%. Key word : Credit scoring, Classification, Bagging k-Nearest Neighbor

ANALISIS STRUCTURAL EQUATION MODELLING PENDEKATAN PARTIAL LEAST SQUARE DAN PENGELOMPOKAN DENGAN FINITE MIXTURE PLS (FIMIX-PLS) (Studi Kasus: Kemiskinan Rumah Tangga di Indonesia 2017) Anggita, Esta Dewi; Hoyyi, Abdul; Rusgiyono, Agus
Jurnal Gaussian Vol 8, No 1 (2019): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Poverty is a complex and multidimensional problem that links several dimensions. Statistical method that can explain the relationship between one latent variable with others is Structural Equation Modelling (SEM). The purpose of this study is to create a structural model of the relationship between education, health, economy and poverty in Indonesia in 2017 by using Structural Equation Modeling with Partial Least Square approach (SEM-PLS) based on predetermined indicators with the results of 11 valid indicators. Based on the model obtained, health has a significant positive effect on education, health and education have a significant positive effect on the economy and the economy has a significant negative effect on poverty. Segmentation based on the relationship of latent variables in structural models can be overcome by Finite Mixture Partial Least Square (FIMIX-PLS) so that it can identify poverty areas in each province in Indonesia with more homogeneous characteristics. The best segmentation result is number of segments (K) = 2 obtained based on the criteria of AIC, BIC, CAIC and Normed Entropy (EN) with an EN value of 0.964 which means the quality of segment separation is very good. Papua and West Papua provinces form one segment in segment 2, while 32 other provinces form one segment in segment 1.Keywords: Poverty, Structural Equation Modelling, Partial Least Square, Finite Mixture, Segmentation.

ANALISIS KUALITAS PELAYANAN DENGAN MENGGUNAKAN FUZZY SERVQUAL, KUADRAN IPA, DAN INDEKS PGCV Rosyidah, Hanik; Wuryandari, Triastuti; Rusgiyono, Agus
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Quality of service (service quality) require attention in the field of service. A service is considered and perceived as good if it can meet the customer’s requirement and expectation. This study aims to determine the suitability and student’s expectation of existing services and to determine which services should be prioritized to be improved . The method used is the Servqual gap scores to determine the level of customer satisfaction or provided service based on expectations and performance. The Importance-Performance Analysis’s method and Potential Gain Customer Value (PGCV) to determine the priority of criteria of the service that must be improved. Servqual calculation results indicate a mismatch between perceptions and student’s expectation which is -0,0724. By using IPA quadrant shows that the main indicators for priority services is an indicator of the school environment’s cleanliness. PGCV shows that there are nine indicators of service which becomes the next priorities. Keywords : Service quality, IPA, PGCV, satisfaction, expectation, performance

PENILAIAN CARA MENGAJAR MENGGUNAKAN RANCANGAN ACAK LENGKAP (Studi kasus: Cara Mengajar Dosen Jurusan Statistika UNDIP) Muhammad, Ilham; Rusgiyono, Agus; Mukid, Moch. Abdul
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Completely randomized design (CRD) is the simplest design among the designs of other experiments. In this treatment plan is fully charged randomized trial units or vice versa. Do research to find out how to rank professors teach statistics Diponegoro University Diponegoro University by alumnus statistics. This study used a RAL because only treatment variable that will be compared. Alumni variables as replication and assumed homogeneous. From the analysis of variance for the CRD, it is concluded that faculty groups differed significantly was A, P, O and L

ANALISIS SISTEM ANTRIAN PELAYANAN TIKET KERETA API STASIUN TAWANG SEMARANG Yustiti, Merlia; Sugito, Sugito; Rusgiyono, Agus
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Semarang Tawang Station is one of the stations visited by customers. As it is known, the train journey is faster than the bus ride. Therefore, it is necessary to analyze queueing models that describe the condition to determine the size of the system performance and to see how the service provided by Customer Service, Ticket Reservation Counters/ Schedule Change/ Refund, Cancellation of the Ticket Counters, and Self Printing Ticket (CTM). Queueing model at the Customer Service and Self Printing Ticket (CTM) is (M/M/2):(GD/∞/∞), Ticket Reservation Counters/ Schedule Change/ Refund is (M/M/4):(GD/∞/∞), and Cancellation of the Ticket Counters is (M/G/1):(GD/∞/∞). Keywords : Arrival Distribution, Queueing Models, Size of the System Performance

ANALISIS PREFERENSI SISWA SMA DI KOTA SEMARANG TERHADAP PROGRAM STUDI DI PERGURUAN TINGGI DENGAN METODE CHOICE-BASED CONJOINT Anggreani, Dini; Mukid, Moch. Abdul; Rusgiyono, Agus
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

This research aims to determine the design of study program that has the biggest opportunity to be chosen by the students. One method can be used to determine the preferences of high school students on existing study program in college is choice-based conjoint method. Variables used in this research are a minimum value of accreditation of selected study program that consist of three categories (A, B, and C), field of science study program that consist of two categories (exact sciences and not exact sciences), type of study program that consist of two categories (educational and not educational), and education level that consist of three categories (S1, D4, and D3). Data analysis techniques used in the choice-based conjoint method is conditional logit model. Variables order starting from the biggest contribution in influencing students preferences is accreditation of study program, level of education, type of study program, and field of science. The design of study program most likely to be chosen by the students is a study program with accreditation A, not exact sciences field, not educational type, and S1 level.

GEOGRAPHICALLY WEIGHTED PANEL REGRESSION WITH FIXED EFFECT FOR MODELING THE NUMBER OF INFANT MORTALITY IN CENTRAL JAVA, INDONESIA Rusgiyono, Agus; Prahutama, Alan
MEDIA STATISTIKA Vol 14, No 1 (2021): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.14.1.10-20

One of the regression methods used to model by region is Geographically Weighted Regression (GWR). The GWR model developed to model panel data is Geographically Weighted Panel Regression (GWPR). Panel data has several advantages compared to cross-section or time-series data. The development of the GWPR model in this study uses the Fixed Effect model. It is used to model the number of infant mortality in Central Java. In this study, the weighting used by the fixed bisquare kernel resulted in a significant variable percentage of clean and healthy households. The value of R-square is 67.6%. Also in this paper completed by spread map base on GWPR model.

PEMODELAN VECTOR AUTOREGRESIVE EXOGENOUS (VARX) PADA NILAI INFLASI TERHADAP PDRB DI JAWA TENGAH Alan Prahutama; Agus Rusgiyono; Tiani Wahyu Utami
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 2 (2019): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Analisis time series dapat dilakukan secara univariat maupun multivariat. Pemodelan time series univariat menggunakan model ARIMA (Autoregressive Integrated Moving Average), sedangkan pemodelan multivariat dapat menggunakan VAR (Vector Autoregressive). Baik model ARIMA ataupun VAR memiliki prosedur yang mirip antaralain stasioneritas data, penentuan orde dari model, checking diagnostic. Model VAR merupakan pengembangan dari model AR (Autoregressive). apabila model univariat time series dipengaruhi oleh variabel eksogen dapat dimodelkan menggunakan ARIMAX, sedangkan time series multivariate dapat dimodelkan menggunakan VARX.Pada penelitian ini dimodelkan nilai inflasi di kota Semarang, kota Surakarta dan kota Purwokerto berdasarkan nilai PDRB Jawa Tengah. Berdasarkan hasil analisis yang didapat, nilai inflasi setiap wilayah dipengaruhi lag ke-(t-1) dengan wilayahnya sendiri ataupun dengan wilayah yang lain. Nilai PDRB tdak signifikan hanya di wilayah Surakarta, tetapi di wilayah lainnya signifikan. Nilai AIC model mencapai 976.876.Kata kunci : VARX, inflasi, PDRB

Co-Authors Abdul Hoyi Abdul Hoyyi Agustina Sunarwatiningsih Alan Prahutama Alan Prahutama Andreanto Andreanto Anggita, Esta Dewi Anifa Anifa Anindita Nur Safira ANNISA RAHMAWATI Annisa Rahmawati Arief Rachman Hakim Aulia Putri Andana Aulia Rahmatun Nisa Bagus Arya Saputra Bayu Heryadi Wicaksono Bellina Ayu Rinni Besya Salsabilla Azani Arif Bramaditya Swarasmaradhana Budi Warsito Dede Zumrohtuliyosi Dermawanti Dermawanti Desy Tresnowati Hardi Di Asih I Maruddani Diah Safitri Diah Safitri Dian Mariana L Manullang Dini Anggreani Diyah Rahayu Ningsih Dwi Asti Rakhmawati Dwi Ispriyansti Dwi Ispriyanti Eis Kartika Dewi Ely Fitria Rifkhatussa'diyah Enggar Nur Sasongko Etik Setyowati Etik Setyowati, Etik Farisiyah Fitriani fatimah Fatimah Febriana Sulistya Pratiwi Feby Kurniawati Heru Prabowo Fitriani Fitriani Hana Hayati Hanik Malikhatin Hanik Rosyidah, Hanik Hasbi Yasin Hasbi Yasin Hildawati Hildawati Hindun Habibatul Mubaroroh Ika Chandra Nurhayati Ilham Muhammad Imam Desla Siena Inas Husna Diarsih Iwan Ali Sofwan Kevin Togos Parningotan Marpaung Listifadah Listifadah M. Afif Amirillah M. Atma Adhyaksa Marthin Nosry Mooy Maryam Jamilah An Hasibuan Maulana Taufan Permana Merlia Yustiti Moch. Abdul Mukid Moch. Abdul Mukid Muhammad Rizki Muhammad Taufan Mustafid Mustafid Mustafid Mustafid Mustofa, Achmad Nabila Chairunnisa Nor Hamidah Noveda Mulya Wibowo Novie Eriska Aritonang Nur Khofifah Nur Walidaini Octafinnanda Ummu Fairuzdhiya Puji Retnowati Puspita Kartikasari Putri Fajar Utami Rengganis Purwakinanti Revaldo Mario Ria Sulistyo Yuliani Riana Ikadianti Riszki Bella Primasari Rita Rahmawati Rita Rahmawati Rizal Yunianto Ghofar Rizky Aditya Akbar Rosita Wahyuningtyas Rukun Santoso Salsabila Rizkia Gusman Setiyowati, Eka Shella Faiz Rohmana Siti Lis Ina Atul Hidayah Sudargo Sudargo Sudarno Sudarno Sudarno Sudarno Sudarno Sudarno Sudarno Sudarno Sugito - Sugito Sugito Sugito Sugito Suparti Suparti Suparti Suparti Susi Ekawati sutimin sutimin Tarno Tarno Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Tiani Wahyu Utami Tika Dhiyani Mirawati Tika Nur Resa Utami, Tika Nur Resa Titis Nur Utami Tri Ernayanti Tri Yani Elisabeth Nababan Triastuti Wuryandari Triastuti Wuryandari Tyas Ayu Prasanti Tyas Estiningrum Ulfi Nur Alifah Ungu Siwi Maharunti Uswatun Hasanah Vierga Dea Margaretha Sinaga Viliyan Indaka Ardhi Winastiti, Lugas Putranti Yogi Isna Hartanto Yuciana Wilandari Yuciana Wilandari Yuciana Wilandari

Title

Found 106 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 106 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 106 Documents
Search