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Contact Name
Sri Maryani
Contact Email
jmp_unsoed@yahoo.co.id
Phone
+628122119224
Journal Mail Official
jmp_unsoed@yahoo.co.id
Editorial Address
Jl. Dr. Soeparno No. 61 Kampus MIPA Karangwangkal Purwokerto Jawa tengah Indonesia 53123
Location
Kab. banyumas,
Jawa tengah
INDONESIA
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
ISSN : 20851456     EISSN : 25500422     DOI : -
Core Subject : Education,
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.
Articles 5 Documents
Search results for , issue "Vol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)" : 5 Documents clear
IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS Mella Apriyani; jajang Jajang; Agustini Tripena Br. Sb.
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) 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

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.
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 (JMP) 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

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.
PEMODELAN KEBUTUHAN GIZI PADA BALITA DENGAN ARTIFICIAL NEURAL NETWORK jajang Jajang; Sylvia Meilani
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) 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

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
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 (JMP) 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

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.
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 (JMP) 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

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.

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