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All Journal Media Statistika Manajemen Sumber Daya Manusia Jurnal Teknologi Informasi dan Ilmu Komputer SIGMA: Jurnal Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL PengaMAS EDUKATIF : JURNAL ILMU PENDIDIKAN ARRUS Journal of Mathematics and Applied Science EduInovasi: Journal of Basic Educational Studies ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Economic Reviews Journal Indonesian Journal of Fundamental Sciences SMART: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)

Sukarna Sukarna

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Author-ID : 390119

Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Social Sciences Transportation Other

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CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI Oktaviana, Oktaviana; Sanusi, Wahidah; Aswi, Aswi; Sukarna, Sukarna; Folorunso, Serifat Adedamola
MEDIA STATISTIKA Vol 17, No 1 (2024): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.17.1.45-56

Overdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with small samples. The Conway-Maxwell Poisson (CMP) regression model, an extension of the Poisson distribution, effectively addresses both overdispersion and underdispersion, even with limited data, due to additional parameters that better control data dispersion. The Infant Mortality Rate (IMR) is a critical public health indicator, reflecting healthcare quality and broader social, economic, and environmental factors. Accurate IMR estimation is essential for evaluating health policies. This study aims to (1) identify overdispersion in IMR data from South Sulawesi, (2) model IMR using CMP regression, and (3) identify factors influencing IMR. The dataset includes IMR, Low Birth Weight (LBW), diarrhea, asphyxia, pneumonia, and exclusive breastfeeding. Analysis showed significant overdispersion with a ratio of 4.639, making CMP the optimal model with an AIC of 186.845. Significant factors identified were LBW, asphyxia, pneumonia, and exclusive breastfeeding. These findings advance statistical methodologies for count data analysis and offer a more accurate approach to evaluating public health policies, supporting efforts to reduce infant mortality in South Sulawesi Province.

Peranan Unit Payment Collection PT. Telkom Witel Makassar dalam Meningkatkan Kualitas Pelayanan Jaringan Indihome Harpiani, Harpiani; Kurnadipare, Aleytha Ilahnugrah; Firdausa, Farah Putri; Sukarna, Sukarna
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Publisher : LPPM UNIVERSITAS KHAIRUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/pengamas.v7i1.6120

Telkom Makassar is the largest telecommunications company in Indonesia with the most popular service currently being IndiHome as a network-based facility. This service is not free but is paid through a good payment system. Payment Collection is one of the units engaged in receivables collection activities that require customers to make payments in the current month or in arrears in the previous month. PKL students are involved in the success of this Payment Collection program so that they know in detail about aspects related to Payment Collection. This paper aims to describe the role of Payment Collection in improving the service quality of IndiHome products. The method used in this activity is collaborative participatory qualitative descriptive, which is a new method used by involving oneself in the process of collecting actual and detailed information so that it can be used as an evaluation for the future. The results obtained from this activity are the process of increasing the quality of IndiHome network services at Telkom Makassar, although this increase still involves the Payment Collection unit itself. Thus, it can be concluded that the success of the Payment Collection in its role in dealing with and handling customer complaints is greatly helped by our involvement as the executor of customer service assistants for IndiHome products

Mapping the Relative Risk of Tuberculosis in Indonesia Using the Bayesian Spatial Conditional Autoregressive Leroux Model Aswi, Aswi; Nurhikmawati, Nurhikmawati; Shanty, Meyrna Vidya; Herman, Nur Taj Alya’; Sukarna, Sukarna
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6814

Tuberculosis (TB) is an infectious disease caused by infection with the Mycobacterium Tuberculosis bacteria. Indonesia ranks second globally in terms of the number of TB cases, after India, followed by China. Modeling is needed to evaluate the relative risk (RR) of TB cases in Indonesia to identify areas that have a high RR of being infected with the bacteria. One approach used to estimate the RR of TB in Indonesia is Bayesian Conditional Autoregressive (CAR). This research aims to identify the RR rate of TB cases in Indonesia using the Bayesian spatial CAR Leroux approach based on TB case data from 2021 to 2022. The best model selection is based on Deviance Information Criteria values, the Watanabe Akaike Information, and residuals from Modified Moran's I. Analysis results shows that in 2021, the Bayesian spatial CAR Leroux Model with Inverse Gamma prior (0.5; 0.5) is the best model. DKI Jakarta Province has the highest while Bali Province has the lowest RR. In 2022, the Bayesian spatial CAR Leroux Model with Inverse Gamma prior (1;0.01) is the best model, with DKI Jakarta Province still having the highest RR, while Bali still has the lowest RR.

ANALISIS SPASIAL SEBARAN PENYAKIT MENULAR KOTA MAKASSAR TAHUN 2018 Sukarna, Sukarna; Awi, Awi; Sutamrin, Sutamrin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Population density correlates spatially with various aspects of community life, such as the number of people with infectious and non-infectious diseases, seasonal (endemic) or non-seasonal (epidemic), mild or severe, and regular or rare. This research focuses on 8 infectious diseases, namely measles, diphtheria, diarrhea, typhoid, malaria, helminthiasis, TB, and DHF. Data on infectious diseases in 2018 were obtained from the Makassar City Health Service Office, which was sourced from 46 puskesmas throughout Makassar City. The results of this study are (1) The limited data, thus, this study focuses on only 8 diseases; (2) Based on the results of the analysis of univariate cluster Moran index, there are (a) the two highest warnings of disease distribution attributed to the districts, namely diarrhea (in Sangkarrang, Ujungtanah, and Mariso) and helminthiasis (in Singkarang); (b) patterns of spread of infectious diseases (this article shows only one thematic map of disease) and spread from nothing significant to very significant; (c) the spread of infectious diseases appears uneven in each district and tends to occur in certain districts, such as (i) Measles have 3 districts (Biringkanaya, Tamalanrea, and Bontoala), (ii) Diphtheria there are 2 districts (Tamalanrea and Biringkanaya), ( iii) Diarrhea only in Panakkukang District, (iv) Malaria only in Ujungtanah, (v) Worms in 4 districts (Manggala, Rappocini, Makassar, and Ujungpandang), (vi) DHF only in Panakkukang District, (vii) Typhoid and TB are not significant.

QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 Sanusi, Wahidah; Sukarna, Sukarna; Harisahani, Nur
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Makassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and to determine the factors that significantly influence rainfall in the city of Makassar. This applied research applies a quantile regression model to rainfall data which is seasonal data. The advantage of this quantile regression model is that it is able to detect extreme conditions of rainfall, such as heavy rain. The data used is daily data in 2019. The estimation results obtained 9 (nine) models from each quantile used. The best model is obtained based on the largest coefficient of determination ( ), namely the 0,8th quantile ( ) of 0.28%. Furthermore, based on the model, it is found that the factor that significantly influences rainfall in the city of Makassar is humidity. At the same time, the air temperature and wind speed have no significant effect on rainfall in the city of Makassar.

MAKING BAYESIAN DISEASE MAPPING EASY AND INTERACTIVE: AN R SHINY APPLICATION Aswi, Aswi; Tiro, Muhammad Arif; Sudarmin, Sudarmin; Sukarna, Sukarna; Awi, Awi; Nurwan, Nurwan; Cramb, Susanna
MEDIA STATISTIKA Vol 16, No 2 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.2.148-159

Spatial analysis of count data is important in epidemiology and other domains to identify spatial patterns. While Bayesian spatial models are a popular approach, they do require detailed knowledge of the process for model fitting, checking, and visualising results. Although a number of R packages are available to simplify running the model, there are still complexities when checking the model. This paper aims to provide a user-friendly and interactive R Shiny web application for the analysis of spatial data using Bayesian spatial Conditional Autoregressive Leroux models. The web application is built with the integration of the R packages shiny and CARBayes. The required data are the number of cases, population, and optionally some covariates for each region. In this case, we used Covid-19 data in 2021 in South Sulawesi province, Indonesia. This application enables fitting a Bayesian spatial CAR Leroux model under several hyperpriors and selecting the most appropriate through comparing several goodness of fit measures. The application also enables checking convergence, plus obtaining and visualising in an interactive map the relative risk of disease for each region.

COMPARISON OF LOGISTIC MODEL TREE AND RANDOM FOREST ON CLASSIFICATION FOR POVERTY IN INDONESIA Sukarna, Sukarna; Notodiputro, Khairil Anwar; Sartono, Bagus
MEDIA STATISTIKA Vol 16, No 2 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.2.112-123

Classification methods are commonly employed to ensure homogeneous data within each group, facilitating the prediction of specific categories. The most frequently used classification models are Logistic Model Tree (LMT) and Random Forest (RF). This study aims to assess the accuracy rate in predicting the poverty status of regencies or towns across Indonesia, utilizing eight independent variables. The entire dataset was obtained from the official Central Bureau of Statistics website. The study investigates the accuracy of various iterations and combinations of training data. The results indicate that RF outperforms LMT in terms of accuracy, achieving a 100% improvement in iterations k=10 and k=500 and a 75% improvement in iteration k=100. Consequently, the RF proves to be more effective than the LMT for analyzing Indonesian poverty data, especially when incorporating all eight independent variables.

Improved Exponential Approach Method in Determining Optimum Solutions for Transportation Problems Rusli, Rusli; Sukarna, Sukarna; Wahyudin, Wahyudin
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 2 (2022)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience744

This study describes the transportation methods that regulate and distribute resources that provide products where they are needed to achieve efficient transportation costs. Solve a transportation problem in this thesis using the Improved Exponential Approach method, then using the NWC (Northwest) method to test its optimization. The purpose of this research is to get more optimal results as initial consideration to increase the distribution cost savings in the Bread Company. Costs incurred by the company before the study amounted to Rp.3,218,000. The results of this study found that the application of the transportation method using the Improved Exponential Approach method is effectively used compared to the NWC method which has a comparison of transportation costs of Rp. 2,612,500 and Rp. 2,785,000, Optimization test results obtained from the Improved Exponential Approach method amounted to Rp2,612,500. And the Improved Exponential Approach method used by researchers can be applied to the Gardenia company.

Evaluasi Kinerja pelaksanaan Anggaran Berbasis Fuzzy Inference System Sukarna, Sukarna; Hermadi, Irman; Nurhadryani, Yani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021833848

Kinerja Pemerintah merupakan output kinerja kementerian/lembaga yang diimplementasikan dalam Perjanjian Kinerja. Laporan Kinerja adalah bentuk pertanggungjawaban kementerian terhadap Perjanjian Kinerja yang disusun secara bertahap dari unit kerja, unit organisasi, dan kementerian. Capaian kinerja aggaran tingkat Kementerian Pertanian tahun 2019 sebesar 94.56% (kategori sangat baik) namun nilai efisiensi anggaran tingkat kementerian sebesar 71,89% yang disebabkan oleh belum efisiennya penggunaan anggaran terhadap capain target. Penelitian ini menggunakan fuzzy inference system Mamdani untuk menentukan status capaian kinerja di unit kerja Balai Pengkajian Teknologi Pertanian (BPTP) Jawa Tengah berdasarkan Peraturan Menteri Keuangan nomor 214 tahun 2017. Aspek penilaian terdiri dari aspek manfaat dan aspek implementasi. Hasil penelitian ini adalah monitoring dan evaluasi kinerja tingkat unit kerja berupa status capaian kinerja berdasarkan realisasi anggaran riil dengan kriteria sangat kurang, kurang, cukup, baik, dan baik sekali. Implementasi sistem berbasis web dengan nilai evaluasi usability menggunakan use questionnaire untuk masing-masing kategori yaitu US sebesar 5.98, EU sebesar 5.25, EL sebesar 5.75, dan SC sebesar 5.17. Pengujian status capaian kinerja unit kerja than 2019 dengan penilaian pakar menujukkan hasil yang sama yaitu kategori sangat baik. AbtractGovernment performance was the output of the performance of the ministry/agency implemented in the performance agreement. Performance report was a form of ministerial accountability to performance agreements that were arranged in stages from work units, organizational units, and ministries. The achievement of the budget performance at the ministry of agriculture in 2019 was 94.56% (very good category) but the efficiency value of the ministry leveled budget was 71.89% due to the inefficient used of the budget towards target achievement, it is necessary to monitoring and evaluate budget performace. Measurement and assesment of the achievement of budget execution performance based on PMK Number 214 of 2017 consists of implementation aspects (budget absorption, consistency between planning and implementation, achievement of outputs, and efficiency). The studied objective was to facilitate works units in monitoring and evaluate budget performance by presenting accurate and actual performance information as a function of internal control using the mamdani fuzzy inference system to determine the status of performance achievements. Mamdan’s model can describe skills for intuitive problems that have an output in the form of values in the domain of fuzzy sets categorized under the linguistic component. The results of this studied are monitoring and evaluation of the web-based work unit in the form of real performance status as a basis for preparing recommendations in order to improve budget performance. The usability evaluation of the system used a use questionnaire for each category, namely US 5.98, EU 5.25, EL 5.75, and SC 5.17. Whitebox testing against 25 rule bases shows the results as expected. Testing the status of work unit performance achievements in 2019 with expert assessments shows the same results, namely the very good category.

Pengaruh Kualitas Pelayanan dan Kualitas Produk Terhadap Kepuasan Anggota Dalam Menabung di KSPPS Khairu Ummah Cabang Puraseda Mariana, Lusi; Salistia, Faisal; Sukarna, Sukarna; Andriana
Economic Reviews Journal Vol. 1 No. 2 (2022): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

The purpose of this study was to determine whether the variables of Service Quality and Product Quality had an effect on customer satisfaction in saving at KSPPS Khairu Ummah, Puraseda Branch. This study uses quantitative methods because it aims to confirm the data obtained in the field with existing theories. The sample was obtained as many as 97 respondents from KSPPS Khairu Ummah Branch Puraseda. Using random sampling technique. While for the technique of data collection is done by using a questionnaire, literature study, interviews, documentation and observation. The data were processed using reliability, validity, classical assumptions, regression equations, statistics and coefficients of determination. From the results of data processing, it shows that Service Quality has a significant effect on the Customer Satisfaction variable which is shown. In the calculation of the hypothesis test with the t-test, partially between service quality and member satisfaction, the tcount value is 4.883 with a ttable value of 1.985, so the hypothesis H0 is rejected. Meanwhile, for the calculation of the t-test between product quality and member satisfaction, the tcount value is 3.859 with a t-table value of 1.985 so that the hypothesis H0 is rejected. So it can be concluded that there is a significant influence between product quality and member satisfaction. From the results of hypothesis testing, it can also be seen that Fcount 72.300 > Ftable 3.097 means that H0 is rejected, so it can be concluded that service quality and product quality simultaneously affect member satisfaction. For R2 of 0.606. So that the ability of the service quality and product quality variables to explain member satisfaction simultaneously is 60.6% influenced and explained while the remaining 39.4% is influenced and explained by other variables not examined. Keywords: Service Quality, Product Quality and Member Satisfaction

Co-Authors Andriana Aswi, Aswi Aswi, Aswi Awi Dassa, Awi Awi, Awi Bagus Sartono Cramb, Susanna Fahmuddin, Muhammad Firdausa, Farah Putri Folorunso, Serifat Adedamola Haekal, Muh. Fahri Harisahani, Nur Harpiani, Harpiani Herman, Nur Taj Alya’ Irman Hermadi Kurnadipare, Aleytha Ilahnugrah Mariana, Lusi Muh Tawil, Muh Muhammad Arif Tiro, Muhammad Arif Nurhikmawati, Nurhikmawati Nurhilaliyah, Nurhilaliyah Nurmah, Nurmah Nurwan, Nurwan Oktaviana Oktaviana Palarungi, Andi Gagah Poewanto, Bobby Putri, Siti Choirotun Aisyah R. Rusli Rahmat Syam Rosadi, Muh. Irham Salistia, Faisal Shanty, Meyrna Vidya Sudarmin Sudarmin Suddin, Alwi Sutamrin, Sutamrin Sutarno Sutarno Syafaruddin Syafaruddin Wahidah Sanusi Wahyudin Wahyudin Wahyuni, Maya Sari Yani Nurhadryani

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