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Journal of Mathematics, Computation and Statistics (JMATHCOS)
Published by Universitas Negeri Makassar
ISSN : 24769487     EISSN : 27210863     DOI : https://doi.org/10.35580/jmathcos
Core Subject : Education,
Mathematics
Fokus yang didasarkan tidak hanya untuk penelitian dan juga teori-teori pengetahuan yang tidak menerbitkan plagiarism. Ruang lingkup jurnal ini adalah teori matematika, matematika terapan, program perhitungan, perhitungan matematika, statistik, dan statistik matematika.
Arjuna Subject : Matematika - Matematika Terapan
Articles 194 Documents
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Model Regresi Cox Non Proporsional Hazard dan Aplikasinya pada Data Ketahanan Hidup Pasien Penderita Tuberkulosis di Balai Besar Kesehatan Paru Masyarakat Makassar Wahidah Sanusi; Alimuddin; Diki Nurbaldatun Islam
Journal of Mathematics, Computations and Statistics Vol. 1 No. 01 (2018): Volume 01 Nomor 01 (April 2018)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This type of research is applied research with a quantitative approach that is to take or collect the necessary data and analyze it by using a model of cox regression models with nonproportional hazard to determine the factors that affect the rate of recovery of tuberculosis patients in Large Hall of Pulmonary Health Makassar Society. Long treatment of patients tuberculosis is the time of survival. In accordance with the Anderson Darling test using the software Minitab 15, the test results on the distribution of survival time of tuberculosis patients is Logistic Distribution. There are many factors that will affect the rate of recovery of patients such as age of the patients, gender of the patients, smoking status of the patients, body temperature of the patients, sputum of the patients, breath of the patients, sweat of the patients, stamina of the patients, appetite of the patients, and weight of the patients. Therefore, it is important to know what the factors most affect the rate of recovery of tuberculosis patients. From the results of the research using software SPSS 20, give conclusion that factors affecting of time recovery of tuberculosis patients in Large Hall of Pulmonary Helath Makassar Society are breath of the patients, stamina of the patients, and appetite of the patients.
Analisis Dan Simulasi Persamaan Differensial Pada Pemodelan Penyakit Campak di Kota Pare-pare Syafruddin Side; Rahmat Syam; Meisy Tri Elsa
Journal of Mathematics, Computations and Statistics Vol. 1 No. 02 (2018): Volume 01 Nomor 02 (Oktober 2018)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This research discusses the SEIRV model of measles. The data used is the number of people with measles in Parepare City in 2015. This data is obtained from Parepare City Health Department. The discussion begins with constructing the SEIRV model of measles,determining the equilibrium point and analyzing the stability. Then, creating a simulation model. This research is conducted by using method of literature study. It is expected to proside an overview of the SEIRV mathematical model. The steps taken are identifying the problem, formulating assumptions to obtained, vaccination is the best way to cure measles
Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan Syafruddin Side; Sukarna; Raihana Nurfitrah
Journal of Mathematics, Computations and Statistics Vol. 2 No. 02 (2019): Volume 02 Nomor 02 (Oktober 2019)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.
Model Transportasi dan Terapannya dalam Optimalisasi Biaya Distribusi Beras Miskin di Kota Makassar oleh Perum Bulog Sub Divre Makassar Tahun 2016 Rahmat Syam; Sukarna; Muh Nahdi Alim Asyhari
Journal of Mathematics, Computations and Statistics Vol. 2 No. 02 (2019): Volume 02 Nomor 02 (Oktober 2019)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This study discusses the transportation model and its application on the stock of Rice Poor (Raskin) in Makassar City by Perum Bulog Sub Divre Makassar. Data is processed by Transport Model. Based on the model is generated a balance model, and export table Raskin distribution,. By method. (LC) and Vogel's Approximation Method (VAM) obtained a feasible initial solution. The method using the stepping stone method (Stepping Stone method). It is then simulated using the Pom for Windows application. The results of this study indicate with the application of Transportation Model. In the year. Year 2016 amounted to 1.7% of the calculation of Perum Bulog Sub Divre Makassar.
Suatu Kajian Tentang Grup Fuzzy Muhammad Abdy; Sukarna; Rahmah Abubakar
Journal of Mathematics, Computations and Statistics Vol. 1 No. 01 (2018): Volume 01 Nomor 01 (April 2018)
Publisher : Jurusan Matematika FMIPA UNM

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This research aims to review the basic concept of fuzzy group from classic group that have been introduced by Azriel Rosenfeld, and in addition,to find the connection between the properties of classic group and properties of fuzzy group. Show that the Theorem 7 is can't be applied in fuzzy group.
Suatu Kajian Tentang Lapangan Kabur dan Ruang Vektor Kabur Muhammad Abdy; Syafruddin Side; Muhammad Edy Rizal
Journal of Mathematics, Computations and Statistics Vol. 1 No. 01 (2018): Volume 01 Nomor 01 (April 2018)
Publisher : Jurusan Matematika FMIPA UNM

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This research redefine fuzzy fields and fuzzy linear spaces. Furthermore, we show some theorem that applies to both concepts of fields and linear spaces (classic and fuzzy concept).
Model Space Time Autoregressive (STAR) dan Aplikasinya Terhadap Penyakit Demam Berdarah Dengue di Provinsi Sulawesi Barat Wahidah Sanusi; Maya Sari Wahyuni; Rahmat Setiawan
Journal of Mathematics, Computations and Statistics Vol. 1 No. 02 (2018): Volume 01 Nomor 02 (Oktober 2018)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

The Space Time Autoregressive (STAR) model is a time series data that has a link between locations (space time). The purpose of this study was to obtain a STAR model that was in accordance with the data on the number of dengue fever patients in West Sulawesi Province and also the forecast data for the next few months. Data in the form of DHF data in five locations, namely Mamuju City, Majene Regency, Polmas District, Central Mamuju Regency, and North Mamuju Regency from January 2014 to July 2016. STAR Estimation parameter model uses vertical squares (MKT) method. The STAR model that matches the data on the number of DHF patients in West Sulawesi Province is the STAR5 model (11). The weighting is a uniform location. In the estimator checking results using uniform location weight of three models. Things that happen between others. Forecast results with the STAR5 (11) model on the number of dengue fever patients in West Sulawesi Province for the next two months, namely August to September 2016, namely 9 people for Mamuju City and 12 people for Polman Regency.
Peramalan Pola Curah Hujan Di Kota Makassar Menggunakan Model Rantai Markov Hisyam Ihsan; Wahidah Sanusi; Hasriani
Journal of Mathematics, Computations and Statistics Vol. 2 No. 01 (2019): Volume 02 Nomor 01 (April 2019)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Markov chain is a method that studies the properties of a variable at the present time based on the nature of the properties in the past in an effort to estimate the properties of the same variable in the future. One of the methods commonly used in predicting the events that will be coming is the method of markov chain discrete. The purpose of this study is: (1) determine the order of the markov chain used in predicting the precipitation; (2) form the model of the markov chain each station in the predicted precipitation is in the City of Makassar; (3) know the results of the prediction of rainfall of each station using a markov chain. By using the method of markov chain discrete then it can be obtained the prediction results of the steady state Station Panaikang in the period of the 10th with a chance to 0.35 months experiencing dry conditions, of 0.11 months experience humid conditions and 0.55 months experience wet conditions. Station Biring Romang in the period of to-15 with a chance of 0.33 months experiencing dry conditions, of 0.08 months experience humid conditions and of 0.59 month is experiencing wet conditions. While on the station of Paotere in the period to 12 with opportunities to 0.39 months experiencing dry conditions, of 0.06 months experiencing the condition moist and 0.55 months experience wet conditions.
Analisis Intervensi Kebijakan Kenaikan Tarif Dasar Listrik (TDL) Tahun 2017 Terhadap Pemakaian Listrik Wilayah SULSELRABAR Ahmad Zaki; Rahmat Syam; Ahmad Firjatullah Hakim
Journal of Mathematics, Computations and Statistics Vol. 2 No. 01 (2019): Volume 02 Nomor 01 (April 2019)
Publisher : Jurusan Matematika FMIPA UNM

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This research is an implementation research about intervention analysis that modelling time series data effected by the existence of an event or intervention. This research aimed to determine the model of intervention of the step function with time of intervention (T) derived from process of ARIMA preintervensi modelling, identification of response of intervention, intervention parameter estimation and examination diagnosis of intervention model. As for the data that was used in the form of data of the using of electricity (in KWh), the category of households with power of 900 VA, South Southeast West Sulawesi Region (SULSELRABAR) from January, 2016 to December, 2017 were obtained from PT PLN Persero SULSELRABAR Area Of Makassar. Based on the analysis result obtained that there is derivation towards the using of electricity in the month after the intervention, it shows the impact of government policies that raising the electricity base tarif rate (defined as the intervention).
Penerapan Logika Matematika Terhadap Permasalahan Sosial Uang Panai’ di Masyarakat Bugis-Makassar Syafruddin Side; Hisyam Ihsan; Abdul Kadir
Journal of Mathematics, Computations and Statistics Vol. 2 No. 01 (2019): Volume 02 Nomor 01 (April 2019)
Publisher : Jurusan Matematika FMIPA UNM

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This research is categorized as pure research (a study of theory and implementation frommath logic) which is aimed to know more about social problem of Uang Panai’ in south sulawesi. Thisresearch conducted by collection data from respondent and then presented in the statements form wichwould be presented in math logic to determine the true value and conclude it. The result of this researchshowed some social cases of Uang Panai’ included the factors which caused the high cost of Uang Panai’and the effects of it (positive and negative effect).

Page 3 of 20 | Total Record : 194

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