Supriyanto Supriyanto
Department of Mathematics, Jenderal Soedirman University

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EVALUASI POLA SPASIAL TUBERKULOSIS DI BANYUMAS MENGGUNAKAN FUZZY SET BERBASIS SISTEM INFORMASI GEOGRAFIS Mutia Nur Estri; Supriyanto Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 1 No 1 (2009): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2009.1.1.2974

Abstract

Tuberculosis prevention in Banyumas which still become problem is the owness of case finding of positive Tuberculosis victims. It is caused by lack of supporting aspect from community. For 2007 there are 4229 cases and 367 of them are active patients who take medical treatment. This research aim to for: a). to making a map of thematic which good for knowing pattern spreading of disease of TB in Banyumas, b). knowing factors having an effect on to spreading of disease of TB in Banyumas, and c). knowing subdividing pattern (regional clustering) pursuant to spreading of disease of TB in Banyumas. This research uses method of fuzzy set with approach of Geographical Information System.Results which are obtained from this research are: a) Tuberculosis event is significantly related to poverty. It is caused by low education level and occupation of Tuberculosis victim. b) Tuberculosis spreading is not related directly to population density, age, disease status of Tuberculosis victims and distance from medical facility. Spatial distribution pattern of Tuberculosis does not follow a certain pattern and c) Tuberculosis clustering tend to cluster at poor area in the city and spread follows the river flow.
ANALISIS PENGARUH KUALITAS PELAYANAN JASA KEPENDIDIKAN TERHADAP KEPUASAN DAN LOYALITAS MAHASISWA MENGGUNAKAN STRUCTURAL EQUATION MODELING (STUDI KASUS DI JURUSAN MIPA UNSOED) Supriyanto Supriyanto; Mutia Nur Estri; Agustini Tripena Br.Sb.
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 6 No 1 (2014): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2014.6.1.2900

Abstract

Increasingly strong competition in intercollegiate and students who increasingly selective and knowledgeable require universities to continue to improve his ministry. Matter requires a knowledge of the conditions for this service, that has adapted to student expectations or not . This study aimed to determine the extent to which level the match between the expected service quality and perceived student at Department of Mathematics and Natural Sciences Unsoed and explain the influence of the five dimensions of service quality that is tangibles, reliability, responsiviness, assurance and empathy for student satisfaction and loyalty. Results of the study was assessment of the quality of student services at the Department of Mathematics and Natural Sciences Unsoed is perceived service quality is still below the expected service quality , perceived still not satisfactory. Five dimensions of service quality consisting of tangibles, reliability, responsiveness, assurance, and empathy, positive effect on student satisfaction. Satisfaction indirect influence on student loyalty and there is a direct influence of the five dimensions of service quality on loyalty through student satisfaction. Student loyalty translated in expressing positive things about the Department of Mathematics and Natural Sciences to others , recommending courses at the Department of Mathematics and Natural Sciences to the others, recruiting new employees from alumni, and ready to provide assistance if needed.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETIMPANGAN DISTRIBUSI PENDAPATAN DI PULAU JAWA TAHUN 2014-2020 Resta Dwi Andina; jajang Jajang; Supriyanto Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2021.13.1.4353

Abstract

Unequal distribution of income is one indicator of community welfare. Improving and equalizing the standard of living people in various regions is one of the efforts to realize national economic development. The existence of an unequal distribution of income also has an impact on economic development. This study discusses panel data regression analysis to determine the factors that affect the unequal distribution of income in Java from 2014 to 2020 with the help of Eviews 10 software. The factors that are thought to affect unequal distribution of income in this study are the Human Development Index (HDI), Open Unemployment Rate (OPR), Regional Gross Domestic Product (RGDP) per capita, and total of poor people. The fixed effects model (FEM) was chosen to be the best model. The results showed that the HDI and RGDP per capita variables had negative and significant effect on unequal distribution of income in Java from 2014 to 2020.
UJI LINEARITAS BERDASARKAN ESTIMASI MEAN DAN VARIANSI BERSYARAT UNTUK PROSES RUNTUN WAKTU Supriyanto Supriyanto; Herni Utami
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 1 No 1 (2009): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2009.1.1.2976

Abstract

This study aims to examine the benefits of testing linearity in the case of live test data. Bootstrap procedure is used to form the estimators of the statistics. Hypothetical form is used to follow the linear model. And compare the value of criticism from the distribution of this value with the test statistics that have been calculated based on the observed time series data existing. This procedure starts with a model determines autoregression to the data. By using the Akaike information criterion, order estimation obtained from the autoregression models.
ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP KINERJA PEGAWAI PT. KERETA API INDONESIA (PERSERO) DAOP 5 PURWOKERTO DENGAN PARTIAL LEAST SQUARE Jajang Jajang; Supriyanto Supriyanto; Dimas Eka Putra
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 12 No 2 (2020): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2020.12.2.3613

Abstract

In this research, PLS method is applied to analyze which factor are affect employee performance in PT. Kereta Api Indonesia (Persero) DAOP 5 Purwokerto based on variables that are research factors that is employee performance, work motivation, leadership, training, work enviroment and corporate culture through the indicator which are then analyzed. From analysis using a PLS method with 6 variables of research, it was found that R-square value work of motivation variables of 77,00% with good assessments defined by construct variable of leadership, training, work enviroment and corporate culture while another 23% is described by other variables outside this research. The value of R-square on employee performance variables of 66,00% with good enough assessment criteria described by the work of motivation, where as another 34% is described by other variables outside this research model.
ANALISIS PENGARUH KUALITAS PELAYANAN JASA KEPENDIDIKAN TERHADAP KEPUASAN DAN LOYALITAS MAHASISWA MENGGUNAKAN STRUCTURAL EQUATION MODELING (STUDI KASUS DI JURUSAN MIPA UNSOED) Supriyanto Supriyanto; Mutia Nur Estri; Agustini Tripena Br.Sb.
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 6 No 1 (2014): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2014.6.1.2900

Abstract

Increasingly strong competition in intercollegiate and students who increasingly selective and knowledgeable require universities to continue to improve his ministry. Matter requires a knowledge of the conditions for this service, that has adapted to student expectations or not . This study aimed to determine the extent to which level the match between the expected service quality and perceived student at Department of Mathematics and Natural Sciences Unsoed and explain the influence of the five dimensions of service quality that is tangibles, reliability, responsiviness, assurance and empathy for student satisfaction and loyalty. Results of the study was assessment of the quality of student services at the Department of Mathematics and Natural Sciences Unsoed is perceived service quality is still below the expected service quality , perceived still not satisfactory. Five dimensions of service quality consisting of tangibles, reliability, responsiveness, assurance, and empathy, positive effect on student satisfaction. Satisfaction indirect influence on student loyalty and there is a direct influence of the five dimensions of service quality on loyalty through student satisfaction. Student loyalty translated in expressing positive things about the Department of Mathematics and Natural Sciences to others , recommending courses at the Department of Mathematics and Natural Sciences to the others, recruiting new employees from alumni, and ready to provide assistance if needed.
EVALUASI POLA SPASIAL TUBERKULOSIS DI BANYUMAS MENGGUNAKAN FUZZY SET BERBASIS SISTEM INFORMASI GEOGRAFIS Mutia Nur Estri; Supriyanto Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 1 No 1 (2009): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2009.1.1.2974

Abstract

Tuberculosis prevention in Banyumas which still become problem is the owness of case finding of positive Tuberculosis victims. It is caused by lack of supporting aspect from community. For 2007 there are 4229 cases and 367 of them are active patients who take medical treatment. This research aim to for: a). to making a map of thematic which good for knowing pattern spreading of disease of TB in Banyumas, b). knowing factors having an effect on to spreading of disease of TB in Banyumas, and c). knowing subdividing pattern (regional clustering) pursuant to spreading of disease of TB in Banyumas. This research uses method of fuzzy set with approach of Geographical Information System.Results which are obtained from this research are: a) Tuberculosis event is significantly related to poverty. It is caused by low education level and occupation of Tuberculosis victim. b) Tuberculosis spreading is not related directly to population density, age, disease status of Tuberculosis victims and distance from medical facility. Spatial distribution pattern of Tuberculosis does not follow a certain pattern and c) Tuberculosis clustering tend to cluster at poor area in the city and spread follows the river flow.
UJI LINEARITAS BERDASARKAN ESTIMASI MEAN DAN VARIANSI BERSYARAT UNTUK PROSES RUNTUN WAKTU Supriyanto Supriyanto; Herni Utami
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 1 No 1 (2009): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2009.1.1.2976

Abstract

This study aims to examine the benefits of testing linearity in the case of live test data. Bootstrap procedure is used to form the estimators of the statistics. Hypothetical form is used to follow the linear model. And compare the value of criticism from the distribution of this value with the test statistics that have been calculated based on the observed time series data existing. This procedure starts with a model determines autoregression to the data. By using the Akaike information criterion, order estimation obtained from the autoregression models.