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Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Published by Universitas Jenderal Soedirman
ISSN : 20851456     EISSN : 25500422     DOI : -
Core Subject : Education,
Mathematics
JMP is a an open access journal which publishes research articles, reviews, case studies, guest edited thematic issues and short communications/letters in all areas of mathematics, applied mathematics, applied commutative algebra and algebraic geometry, mathematical biology, physics and engineering, theoretical bioinformatics, experimental mathematics, theoretical computer science, numerical computation and applications of systems, partial differential and differential equations, integral and integral differential equations and mathematical modeling.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika" : 10 Documents clear
ANALISIS MODEL ANTRIAN KEGIATAN KENDARAAN OPERASIONAL DINAS DI KABUPATEN BANYUMAS TAHUN 2020 Khoirunnisa Salsabila; Renny Renny; Sulman Edi 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.2021.13.1.4464

Abstract

Queues can occur when the need for a service exceeds the available capacity for that service. This study aims to determine the queuing model for the regional service vehicle apel activity in Banyumas Regency in 2020, the effectiveness of the number officers service, and create a simulation model of the queuing model. Based on the results of the research, it can be concluded that the queuing system at the vehicle service with two officers uses a single-phase multi-channel queue structure, queuing discipline is First Come First Served and distribution arrival is Poisson and services with Eksponensial distribution, so the queuing model used is (M/M/s). From the results of calculations using POM for windows the level of service activity is 50% of the times, the average number of apple participants in the system is 1,33 people, the average number of apple participants in the queue is 0,33 people, the average time in the system is 6,6 minutes and the average time in the queue is 1,8 minutes. Because the results of the calculation (1-r) are 50% of the break time, so the regional service vehicle apel in Banyumas Regency in 2020 officer is enough with two officers and has been effective.
PEMODELAN KEBUTUHAN GIZI PADA BALITA DENGAN ARTIFICIAL NEURAL NETWORK jajang Jajang; Sylvia Meilani
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.2021.13.1.4363

Abstract

An information on the data is not easily obtained if the data is not presented well. The nutritional needs of toddlers are important to be studied to get an information about growth of these toddlers. This research studied the nutritional needs and its factors by using Artificial neural networks (ANN) model. These factors are toddler's age, gender, weight, height, activity. Nutrition data for children under five years old was obtained from interviews at 47 Posyandu locations. The results showed that the resulting ANN model gave quite good results where the error value generated was 0.024
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.
SOLVING THE INVERSE KINEMATICAL PROBLEM OF A ROBOT ARM BY USING GROEBNER BASIS Alisya Masturoh; Bambang Hendriya Guswanto; Triyani Triyani
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.2021.13.1.4428

Abstract

The inverse kinematical problem of a robot arm is a problem to find some appropriate joint configurations for a pair of position and direction of a robot hand which is represented by a polynomial equations system. The system is solved by employing Groebner basis notion. Thus, the appropriate joint configurations for a pair of position and direction of the robot hand are obtained.
IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS Mella Apriyani; jajang Jajang; Agustini Tripena Br. Sb.
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.2021.13.1.3612

Abstract

There are three types of Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.
IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS Apriyani, Mella; Jajang, jajang; Sb., Agustini Tripena Br.
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): 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.2021.13.1.3612

Abstract

ABSTRACT. The research studied applied multinomial regression model on data of Tuberculosis. Here, there are three types of Tuberculosis (TB) patients at Banyumas Hospital, namely negative pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, history case, gender, level of education, and domicile. One of the methods to find a correlation between types of TB is multinomial logistic regression analysis. This due to types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. Finally, we got that level of education is more significant than negative pulmonary TB and extra pulmonary TB.Keywords: multinomial logistic regression, types of TB, positive pulmonary TB, extra pulmonary TB. ABSTRAK. Terdapat tiga jenis tuberkulosis (TB) yang diderita oleh pasien di Rumah Sakit Umum Daerah (RSUD) Banyumas, yaitu TB paru negatif, TB paru positif, dan TB ekstra paru. Jenis TB yang diderita oleh pasien umumnya dipengaruhi oleh usia, riwayat, jenis kelamin, tingkat pendidikan, dan tempat tinggal pasien. Salah satu metode yang dapat digunakan untuk mencari hubungan antara jenis TB dengan faktor yang mempengaruhinya adalah analisis regresi. Penelitian ini menggunakan metode analisis regresi logistik multinomial karena jenis TB bersifat kategori, dengan jumlah responden sebanyak 156 pasien pada tahun 2018/2019. Hasil penelitian menunjukkan bahwa tingkat pendidikan pasien menjadi faktor dominan yang berpengaruh. Penelitian ini juga menunjukkan bahwa pasien dengan tingkat pendidikan dasar memiliki nilai odds 5,843 kali untuk terkena jenis TB paru positif dan 2,224 untuk terkena jenis TB ekstra paru. Model regresi logistik multinomial yang didapat juga menunjukkan bahwa peluang untuk terkena penyakit TB paru positf dengan faktor tingkat pendidikan lebih besar dibandingkan dengan TB paru negatif dan TB ekstra paru.Kata kunci: regresi logistik multinomial, jenis TB, TB paru positif, TB ekstra paru.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETIMPANGAN DISTRIBUSI PENDAPATAN DI PULAU JAWA TAHUN 2014-2020 Andina, Resta Dwi; Jajang, jajang; Supriyanto, Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): 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.2021.13.1.4353

Abstract

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, open unemployment rate, regional gross domestic product 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.Keywords: panel data regression, fixed effect model, unequal distribution of income, gini ratio. ABSTRAK. Ketimpangan distribusi pendapatan merupakan salah satu indikator kesejahteraan masyarakat. Meningkatkan dan menyetarakan taraf hidup masyarakat di berbagai daerah merupakan salah satu upaya mewujudkan pembangunan ekonomi nasional. Adanya distribusi pendapatan yang tidak merata berdampak pada pembangunan ekonomi. Penelitian ini membahas analisis regresi data panel untuk mengetahui faktor-faktor yang mempengaruhi ketimpangan distribusi pendapatan di Pulau Jawa tahun 2014 sampai 2020 dengan bantuan software Eviews 10. Faktor-faktor yang diduga mempengaruhi ketimpangan distribusi pendapatan dalam penelitian ini yaitu indeks pembangunan manusia, tingkat pengangguran terbuka, produk domestik regional bruto perkapita, dan jumlah penduduk miskin. Fixed Effect Model (FEM) terpilih menjadi model terbaik. Hasil penelitian menunjukkan bahwa indeks pembangunan manusia dan produk domestik regional bruto perkapitadan PDRB perkapita berpengaruh negatif dan signifikan terhadap ketimpangan distribusi pendapatan di Pulau Jawa tahun 2014 sampai 2020.Kata kunci: regresi data panel, model fixed effect, ketimpangan distribusi pendapatan, rasio gini
PEMODELAN KEBUTUHAN GIZI PADA BALITA DENGAN ARTIFICIAL NEURAL NETWORK Jajang, jajang; Meilani, Sylvia
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): 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.2021.13.1.4363

Abstract

ABSTRACT. An information on the data is not easily obtained if the data is not presented well. The nutritional needs of toddlers are important to be studied to get an information about growth of these toddlers. This research studied the nutritional needs and its factors by using Artificial Neural Network (ANN) model. These factors are toddler's age, gender, weight, height, and activity. Nutrition data for children under five years old was obtained from interviews at 47 Posyandu locations. The results showed that the resulting ANN model gave quite good results where the error value generated was 0.024.Keywords: toddlers, artificial neural network, nutrition, posyandu ABSTRAK. Sebuah informasi pada data tidak mudah diperoleh apabila data tidak disajikan dengan baik. Kebutuhan gizi balita penting ditelaah untuk mendapatkan tumbuh kembangnya balita. Penelitian ini mengkaji kebutuhan gizi balita dan faktor-faktornya menggunakan model Artificial Neural Network (ANN). Faktor-faktor yang dimaksud adalah umur balita, jenis kelamin, berat badan, tinggi badan, dan aktifitas. Data gizi anak dibawah lima tahun (balita) diperoleh dari hasil wawancara di 47 lokasi Posyandu. Hasil penelitian menunjukkan bahwa model ANN yang dihasilkan cukup baik dimana nilai kesalahan yang dihasilkan adalah 0,024.Kata kunci: balita, artificial neural network, gizi, posyandu
SOLVING THE INVERSE KINEMATICAL PROBLEM OF A ROBOT ARM BY USING GROEBNER BASIS Masturoh, Alisya; Guswanto, Bambang Hendriya; Triyani, Triyani
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): 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.2021.13.1.4428

Abstract

ABSTRACT. The inverse kinematical problem of a robot arm is a problem to find some appropriate joint configurations for a pair of position and direction of a robot hand which is represented by a polynomial equations system. The system is solved by employing Groebner basis notion. Here, the appropriate joint configurations for a pair of position and direction of the hand of a robot with three segments are obtained.Keywords: inverse kinematical problem, robort am, Groebner basis. ABSTRAK. Masalah kinematika invers lengan robot adalah suatu masalah menentukan konfigurasi bersama yang sesuai untuk pasangan posisi dan arah tangan robot yang dinyatakan oleh suatu sistem polynomial. Sistem ini diselesaikan dengan menggunakan konsep basis Groebner. Di sini, konfigurasi bersama yang sesuai untuk pasangan posisi dan arah tangan robot dengan tiga segmen diperoleh.Kata kunci: masalah kinematika inverse, lengan robot, basis Groebner
ANALISIS MODEL ANTRIAN KEGIATAN KENDARAAN OPERASIONAL DINAS DI KABUPATEN BANYUMAS TAHUN 2020 Salsabila, Khoirunnisa; Renny, Renny; Supriyanto, Sulman Edi
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): 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.2021.13.1.4464

Abstract

ABSTRACT. Queues can occur when the need for a service exceeds the available capacity for that service. This study aims to determine the queuing model for the regional service vehicle apel activity in Banyumas Regency in 2020, the effectiveness of the number officers service, and create a simulation model of the queuing model. Based on the results of the research, it can be concluded that the queuing system at the vehicle service with two officers uses a single-phase multi-channel queue structure, queuing discipline is First Come First Served and distribution arrival is Poisson and services with Eksponensial distribution, so the queuing model used is (M/M/s). From the results of calculations using POM for windows the level of service activity is 50% of the times, the average number of apple participants in the system is 1,33 people, the average number of apple participants in the queue is 0,33 people, the average time in the system is 6,6 minutes and the average time in the queue is 1,8 minutes. Because the results of the calculation (1-) are 50% of the break time, so the regional service vehicle apel in Banyumas Regency in 2020 officer is enough with two officers and has been effectiveKeywords: First Come First Served, Multy Channel Single Phase, POM For Windows, Queueing Theory. ABSTRAK. Antrian dapat terjadi apabila kebutuhan akan pelayanan melebihi kapasitas yang tersedia untuk pelayanan itu. Penelitian ini bertujuan untuk mengetahui model antrian pada kegiatan apel kendaraan dinas Kabupaten Banyumas Tahun 2020, mengetahui keefektifan jumlah petugas pada saat pelayanan, dan membuat model simulasi dari model antrian. Berdasarkan hasil penelitian dapat disimpulkan bahwa sistem antrian pada pelayanan apel kendaraan dengan dua petugas menggunakan struktur antrian multy channel single phase, disiplin antrian berupa First Come First Served dan pola kedatangan mengikuti distribusi Poisson dan pelayanan mengikuti distribusi Eksponensial,, sehingga model antrian yang digunakan yaitu (M/M/s). Dari hasil perhitungan menggunakan POM for windows tingkat kesibukan pelayanan sebesar 50% dari waktunya, rata-rata jumlah peserta apel dalam sistem sebanyak 1,33 orang, rata-rata jumlah peserta apel dalam antrian sebanyak 0,33 orang, rata-rata waktu dalam sistem adalah 6,6 menit dan rata-rata waktu dalam antrian adalah 1,8 menit. Karena hasil perhitungan (1-) didapatkan 50% dari waktu istirahat, sehingga petugas pada kegiatan apel kendaraan dinas Kabupaten Banyumas Tahun 2020 masih cukup dengan dua petugas dan sudah efektif.Kata kunci: First Come First Served, Multy Channel Single Phase, POM For Windows, Teori Antrian.

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