Article Per Year (5 Year)
p-Index From 2020 - 2025
2.064
P-Index
This Author published in this journals
All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) LOSARI: Jurnal Pengabdian Kepada Masyarakat Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Mathematics, Computation and Statistics (JMATHCOS) Issues in Mathematics Educations (IMED) conomics Learning Experience & Social Thinking Education Journal
Sukarna
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
Implementasi Kebijakan Moneter Ekonomi Indonesia Periode 2003-2009: Study Pemikiran M. Umerchapra Sukarna; Faisal; Hadi, Sholikul; Husenudin, Abdul
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 6 No. 4 (2024): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v6i4.888

Abstract

This study aims to determine the Implementation of Indonesian Economic Monetary Policy for the 2003-2009 period, a study of M. Umerchapra's thoughts. The method used is a qualitative method with the results presented in a descriptive form, namely by collecting actual data, this research uses a type of library research. The aim of this thesis research is to provide an overview of M. Umer Chapra's thoughts on monetary policy instruments and opportunities for their implementation in Indonesia. The results of the research show that M. Umer Chapra's thoughts are about monetary policy instruments. In the economy it can become an important discourse to be considered and studied and even further implemented in Indonesia. It is not impossible to apply M. Umer Chapra's thoughts in Indonesia. Growth in terms of assets has also proven that Islamic Banks are an ideal bank model to encourage the progress of the country's economy. However, in terms of service quality, Islamic Banks must catch up with Conventional Banks which have been established earlier
Pemodelan Jalur pada Faktor yang Mempengaruhi Kriminalitas di Sulawesi Selatan Tahun 2021 Sukarna; Ahmad Zaki; Muh. Ilham
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 10 No 1 (2022): VOLUME 10 NOMOR 1 TAHUN 2022
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v10i1.28243

Abstract

South Sulawesi has many diverse track records in criminal acts, including theft. The causal factors of crime should be detected and found scientifically to assist professionally and academically all parties in reducing or avoiding the consequences or increasing crime. The study purpose is to create the model crime (especially theft) in South Sulawesi based on the factors that influence it. The model is path analysis which is able to determine direct and indirect effects. Data obtained from BPS South Sulawesi in the form of population, education, poverty, unemployment, crime. Two models are presented to provide recommended solutions that the population, education, poverty and unemployment affect the crime rate. The dominant variable that directly affects crime is the population of 2,149 and the smallest influence is education of 0.158 Keywords: Path analysis, population, unemployment, crime
PEMODELAN BAYESIAN SPASIAL CONDITIONAL AUTOREGRESSIVE (CAR) PADA KASUS DEMAM BERDARAH DENGUE DI INDONESIA Aswi; Sukarna
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 10 No 1 (2022): VOLUME 10 NOMOR 1 TAHUN 2022
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v10i1.29113

Abstract

Demam Berdarah Dengue (DBD) merupakan salah satu penyakit menular yang masih merupakan masalah utama dalam kesehatan masyarakat di Indonesia. Total kasus DBD di Indonesia pada tahun 2020 masih cukup tinggi yaitu 108.303 kasus. Beberapa penelitian terkait pemodelan DBD telah menggunakan metode Bayesian spasial. Akan tetapi, penelitian tersebut masih fokus pada salah satu provinsi yang ada di Indonesia. Penelitian ini bertujuan untuk memodelkan risiko relatif (RR) kasus DBD tahun 2020 di Indonesia dengan 34 provinsi dan menghasilkan peta tematik RR. Data yang digunakan data kasus DBD serta data jumlah penduduk di Indonesia tahun 2020 yang diperoleh dari Publikasi Kementerian Kesehatan Republik Indonesia 2021. Model Bayesian spasial Conditional Autoregressive (CAR) Leroux digunakan dengan pemilihan model terbaik didasarkan pada Deviance Information Criteria (DIC), Watanabe Akaike Information Criteria (WAIC), dan Modifikasi Moran’s I (MMI) untuk residual. Hasil yang diperoleh menunjukkan bahwa model Bayesian spasial CAR Leroux dengan hyperprior IG(1; 0,1) merupakan model terbaik dalam pemodelan kasus DBD tahun 2020 di Indonesia. Sekitar 53% provinsi yang ada di Indonesia merupakan wilayah dengan RR tinggi, dimana Provinsi Bali memiliki nilai RR tertinggi (6,84), diikuti oleh Provinsi Nusa Tenggara Timur (RR=2,70), dan Daerah Istimewa Yogyakarta (RR=2,33). Sebaliknya, provinsi dengan RR terendah adalah Provinsi Maluku (RR=0,11), diikuti oleh Provinsi Papua (RR = 0,13), dan Provinsi Kalimantan Barat (RR =0,38).
PEMODELAN KASUS COVID-19 DI INDONESIA MENGGUNAKAN ANALISIS SPASIAL DENGAN PENDEKATAN BAYESIAN Aswi; Sukarna; Nurhilaliyah
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 10 No 2 (2022): VOLUME 10 NOMOR 2 TAHUN 2022
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v10i2.33221

Abstract

Kasus terkonfirmasi positif Covid-19 dilaporkan pertama kali di Indonesia pada tanggal 2 Maret 2020. Hingga 30 September 2022, Indonesia memiliki 6.465.207 kasus. Berbagai penelitian mengenai pemodelan kasus Covid-19 telah dilakukan. Akan tetapi, penelitian menggunakan model Bayesian spasial Conditional Autoregressive (CAR) Leroux (BSCL) untuk kasus Covid-19 di 34 provinsi di Indonesia belum sepenuhnya dilakukan. Penelitian ini bertujuan untuk mendapatkan model BSCL terbaik dalam mengestimasi risiko relatif (RR) kasus Covid-19 di 34 provinsi di Indonesia dan menghasilkan peta tematik RR. Data agregat kasus positif Covid-19 (2 Maret 2020-30 September 2022) digunakan dalam penelitian ini. Selain itu, data jumlah penduduk di 34 provinsi di Indonesia tahun 2021 juga digunakan. Kriteria dalam memilih model terbaik adalah dengan melihat nilai residual dari Modifikasi Moran’s I (MMI) yang lebih dekat ke nol, nilai Watanabe Akaike Information Criteria yang terkecil serta nilai Deviance Information Criteria (DIC) terkecil. Hasil pengolahan data Covid-19 menunjukkan bahwa model BSCL dengan hyperprior IG (0,1;0,1). merupakan model terbaik dalam mengestimasi RR kasus Covid-19 di Indonesia. Sekitar 29,41% (10 provinsi) di Indonesia yang memiliki nilai RR kategori tinggi terjangkit Covid-19. Provinsi dengan RR tertinggi dan terendah masing-masing adalah Provinsi DKI Jakarta (RR=5,68) dan Provinsi Nusa Tenggara Barat (RR=0,28).
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Matriks Leslie dan Aplikasinya dalam Memprediksi Jumlah dan Laju pertumbuhan Penduduk di Kota Makassar Wahidah Sanusi; Sukarna; Nur Ridiawati
Journal of Mathematics, Computations and Statistics Vol. 1 No. 02 (2018): Volume 01 Nomor 02 (Oktober 2018)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Population growth is a matter of note, if the population growth is not controlled, it will be difficult for the government to make prosperity. In 2010, In the city of Makassar was recorded 1,339,374 people with a growth rate of 1.65 percent every year. This study aims to predict the number and rate of population growth in Makassar city in 2017 by using Leslie Matrix. The factors which influence the population growth are the fertilit rate, the survival rate, and the age range of the population. The steps taken to predict the number of population p for the next year with using Leslie Matrix are forming a vector column n (t) whose entry is the initial number of population every age class. The second step is obtain the value of n (t + p) which is the population number for the next year p than use the formula n ( t + P) = Ap n (t) with A is the Leslie Matrix. And the last step, specify the dominant eigen value. The results obtained in 2017 predicted a total of 749,090 inhabitants with eigen values λ1=1.01 indicates that growth tends to raise.
Analisis Kestabilan Penyebaran Penyakit Kolera Menggunakan Model SEIRS dengan Vaksinasi dan Faktor Treatment Syafruddin Side; Sukarna; Gita Tri Asfarina
Journal of Mathematics, Computations and Statistics Vol. 1 No. 02 (2018): Volume 01 Nomor 02 (Oktober 2018)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this study, the rate of vaccination and treatment than to see the effects on the spread of the disease. In this case, obtained the minimum vaccination and treatment level of the minimum needed for the disease can disappear from the population. For vaccination rates and treatment level above the minimum vaccination and minimum treatment, the greater the rate of vaccination and treatment levels cause the proportion of Susceptible individuals getting smaller, meaning that people with cholera gradually diminishing and the disease will disappear from the population and there is no endemic.
Analisis Moran’s I, Geary’s C, dan Getis-Ord G pada Penerapan Jumlah Penderita Kusta di Kabupaten Gowa Sukarna; Wahidah Sanusi; Hafilah. H
Journal of Mathematics, Computations and Statistics Vol. 2 No. 02 (2019): Volume 02 Nomor 02 (Oktober 2019)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Spatial analysis is one of the methods that is often used to observe spreading pattern of infectious diseases. Leprosy is a chronic infectious disease caused by bacterium Mycrobacterium Leprae which spreads through droplets. This study aims to determine the spatial pattern of leprosy using the Quadrat Analysis method, to determine whether there is spatial autocorrelation between regions using Moran's I, Geary’s C, Getis-Ord G, and mapping the spread of leprosy in Gowa Regency. In this study it was found that the spatial patterns of the spread of leprosy in 2016 and 2017 in Gowa Regency was clustered. In 2016 there were spatial autocorrelations with the tests of Moran's I and Geary's C, while the testing of Getis-Ord G did not have spatial autocorrelation between regions. In 2017 there is no spatial autocorrelation between regions using the three tests. In 2016 the vulnerable areas was Barombong, the area that had to be careful with the surrounding areas was Bontonompo and the area included in the safe category was Tompobulu. Whereas in 2017 areas prone to leprosy were Bajeng and Manuju.
Co-Authors Ahmad Zaki Aswi Aswi, Aswi Elma Selviana Darwis Evi Novita Faisal Gita Tri Asfarina Hadi, Sholikul Hafilah. H Hisyam Ihsan Husenudin, Abdul Irham Aryandi Basir J, Jusriadi Kaito, Nurlaila Larissa, Fanya Alifia Muh Nahdi Alim Asyhari Muh. Ilham Muhammad Abdy Nasrullah Nur Ridiawati Nurhilaliyah Rahmah Abubakar Rahmat Syam Raihana Nurfitrah Serly Diliyanti Restu Ningsih Sitti Hasna Syafruddin Side Syamsuddin Mas'ud Tampa, Alimuddin Wahida Sanusi Wahidah Sanusi Wahidin Ashari, Nur