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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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Penggunaan Analisis Biplot dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Kesejahteraan Masyarakat Rangkuti, Yulita Molliq; Landong, Ahmad; Tarigan, Dewan Dinata
Journal of Mathematics, Computations and Statistics Vol. 6 No. 2 (2023): Volume 06 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Fixed free beam is one of the components that are most often used as raw materials for furnitureand building construction. The use of wooden beams is inseparable from several important issues that mustbe taken into account, including stiffness, strength, stability, and flexibility. The problem of free vibrationthat occurs in wooden beams must also be taken into account. All systems that have mass and elasticity canexperience free vibrations or vibrations that occur without external stimulation. This free vibration occurswhen the system on the object oscillates due to the work of the forces that exist in the system itself (inherent).The free vibration of the wooden beams must be overcome by damping, so that it does not seriously affectthe structure of the strength, stability, and flexibility of the wooden beams. Damping can be done by lookingfor free vibration points or vibration mode shapes on fixed free beams. One approach that can be used tofind the mode shapes is a numerical approach using the Reyleigh-Ritz method. The methodology used isthe development of a python script to find free vibration modes on the beam. In this article, the beam with a length of 0.5 meters and a thickness of 2.25 × 10^−4 meters is selected as a simulation model.
Simulasi Sistem Dinamik Model Matematika Kasus Kecanduan Bermain Gadget Bagi Anak Usia Dini dengan Faktor Pengawasan Orang Tua Pratama, Muhammad Isbar; Lismayani, Angri
Journal of Mathematics, Computations and Statistics Vol. 6 No. 2 (2023): Volume 06 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This research aims to develop a mathematical model to depict the changes in the level of gadgetaddiction in early childhood of the SEAR type (Susceptible - Exposed - Addicted - Recovered). Themathematical model created is then analyzed for its stability. After the stability analysis, the model is furthersubjected to simulation using Maple 18 software. The simulation is performed three times with differentvalues of parental supervision factors, namely 0.0084, 0.5217, and 0.8214. The simulation results indicatethat the higher the level of parental supervision, the faster the cases of gadget addiction in early childhooddecline.
Portofolio Efisien Model Markowitz dengan Kendala Proporsi Aset Positif dan Target Return yang Ditentukan Nurwahidah; Hasan, Asriani; MA, Ratnah Kurniati
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Rational investors tend to diversify their asset for reducing investment risk. Markowitz portfoliomodel can be an investment strategy to minimize risk and maximize return of investment. This studyestablishes the Markowitz model portfolio with positive asset weight constraints and determined targetreturns. Quadratic programming is an approach used to determine the proportion of each stock in theportfolio. Therefore, 5 efficient portfolios with less risk level than individual stocks are obtained. Theresults of the performance measurement stated that the portfolio with asset centered proportion on BYANhad the best performance. It is due to the high expected returns and low level of risk measurement.
Pemodelan Laju Kematian Pasien Covid-19 di RSUD Abdul Wahab Sjahranie Samarinda menggunakan Model Regresi Weibull Azizah, Nur; Suyitno; Hayati, Memi Nor
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

The Weibull regression model is the development of the Weibull distribution, namely the Weibulldistribution which is affected directly by the covariates. The Weibull regression models discussed in thisstudy are the Weibull survival regression model and the Weibull hazard regression model. The Weibullregression model in this study was applied to data of COVID-19 patients hospitalization time at the AbdulWahab Sjahranie Hospital in Samarinda 2021. The event of this study was the death of the COVID-19patients. The purpose of this study was to determine the Weibull survival regression model and Weibullhazard regression to data of COVID-19 patients hospitalization time, to know the factors that influence the chance of patients survive and the mortality rate of COVID-19 patients, and to interpret of the Weibull survival regression and Weibull hazard regression model. The parameter estimation method was Maximum Likelihood Estimation (MLE). Hypothesis parameter testing consists of parameter testing simultaneously and partially. Conclusion of this study that the Maximum Likelihood (ML) estimator was obtained using the Newton-Raphson iterative method. Based on hypothesis testing, the factors affecting the chance of survive and the mortality rate of COVID-19 patients at the Abdul Wahab Sjahranie Hospital Samarinda is oxygen saturation.
Analisis Potensi Budaya di Provinsi Maluku dengan Pendekatan Statistika Spasial Yudistira; Loklomin, Samsul Bahri
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Culture advancement as part of a sustainable national development, needs to be supported bydata and information about factual conditions of cultural potential at national, provincial and districtlevel. However, until now there have not been many quantitative studies with subject related to culture.This research was one of efforts made to enrich quantitative studies related to cultural studies, as well asimplemented such knowledges about spatial statistics for cultural data and information. The main methodused in this research was secondary data analysis from various sources related to cultural potential inMaluku Province, which was available down to district level. Some spatial statistic measures used areGlobal Moran index, Local Indicators for Spatial Association (LISA), as well as spatial cross-correlation,which are applied to all variables related to cultural potential in this research. The results of analysisgenerally didn’t show statistically significant of spatial autocorrelation for each of these culturalpotentials. Nonetheless, there were several important results conducted in this research, that would beinteresting to note as basis for formulating cultural development policies in Maluku Province.
Penentuan Faktor Kemiskinan Indonesia Menggunakan Regresi Logistik Azis, Irfani; Sumertajaya, I Made; Purwaningsih, Siti Samsiyah; Tjahjawati, Sri Surjani
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Poverty is a global problem faced by various countries, including Indonesia. This study aims to determine the factors that influence the level of poverty in Indonesia by looking at the poverty classification itself. The data used is data on the website of the Central Statistics Agency and Bappenas in 2021 with the model used is an ordinal logistic regression model. The backward elimination method isused to select the best model with the lowest information criterion akaike value. The results of this study are that the gross domestic product factor and the unemployment rate have a significant positive effect, while population size and the provincial minimum wage have a significant negative effect on the poverty rate in Indonesia.
Analisis Pengaruh Endorsement dan Paid Promote terhadap Penjualan Online Shop dengan Teori Permainan Silalahi, Restina; Sinaga, Marlina Setia
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

The growth of internet users gives the latest innovation in shopping, which is online shopping. Sellers can use paid promotions and endorsement strategies to represent the sales insights. This study examines the impact of paid promotions and endorsements on sales using game theory and variance analysis. Game theory is a mathematical approach to formulating conflict and competition that involves a variety of interests and has a desire to win. Then, variance analysis is used to test the significance of the influence some independent variables have on a dependent variable. The attributes used in this research are price, content quality, and influencer. The result for the best marketing strategies of paid promotion maximum profit is content quality of the paid promotions. Whereas, for the best marketing strategies for endorsement maximum profit is content quality of the endorsement. Then, the result of the varianceanalysis showed paid promotions and endorsements make a real difference to online store sales.
Perbandingan Regresi Data Panel Variabel Perdagangan berdasarkan Periode Data Selama Pandemi Covid-19 Valentika, Nina; Sumertajaya, I Made; Kusdaniyama, Nunung; Sunardi
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

The purpose of this study is to model the effect of returns and trading volume on the bid-ask spread using monthly and annual data during the Covid-19 Pandemic, as well as compare the panel data regression model to see the effect of returns and trading volume on the bid-ask spread based on monthly data periods and annually during the Covid-19 Pandemic. The results showed that the best model for monthly and annual data during the Covid-19 Pandemic was a random effect data model with individual effects or cross sections. In the random effect data model with individual effects or cross-section for monthly data, it is found that volume has a significant effect on the bid-ask spread at a significant level of 5%. Meanwhile, for annual data, it is found that returns have a significant effect on the bid-ask spread at a significant level of 5%. The best model based on monthly and annual data periods is the random effects data model with individual effects or cross sections using annual data.
Analisis Kekonvergenan pada Barisan Peubah Acak di Ruang Riil Side, Syafruddin; Sanusi, Wahidah; Nurdin, Nur Izzah
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This research aims to identify and explain the concepts, asymptotic properties, relationships and applications of four types of convergence of a sequence of random variable, namely convergence almost surely, convergence in probability, convergence in distribution and convergence in mean. The results of the theoretical study shows that these four types of convergence, are closed to arithmetic operations, each subsequence is convergent to the same random variable, remains convergent in the continuous function,and has a relationship between each type, namely: (a) if the sequence of random variable convergent almost surely then this sequence convergent in probability and otherwise if the sequence has a subsequence that convergent almost surely to its limit, (b) if the sequence of random variable convergent in probability then this sequence convergent in distribution and otherwise if the limit is a real constant, (c) if the sequence of random variable convergent in mean then this sequence convergent in probability and otherwise if thesequence is bounded in probability and (d) there is no relationship between convergent in mean and convergent almost surely, and also can be used in proving the Law of Large Number, Central Limit Theorem and limit distribution.
Implementasi K-Means pada Klasterisasi Jenis Disabilitas Dwiana, Fadiah Irine; Utami, Wika Dianita; Hamid, Abdulloh; Sriasih
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Disability need assistance from the authorities to support the activities of persons with disability. Types of disability include physical disability, visual impairment, speech impairment and mental disorders. This study goal of this study to cluster disability per sub-district in Sidoarjo Regency by type of disability using the K-Means method. The data used is data on the number of disability in Sidoarjo Regency from January to August 2022. This cluster analysis produces four optimal clusters with the highest silhouette coefficient value of 0.33. The results of the analysis of this study formed 4 clusters in the first cluster, namely 4 sub-districts with a very high number of disability, the second cluster, namely 4 sub-districts with a high number of disabilitys, the third cluster only 1 sub-district with a moderate number of disabilitys, the fourth cluster, namely 5 sub-districts with a low number of disability.

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