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All Journal Teknosains: Media Informasi Sains dan Teknologi Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal INSYPRO (Information System and Processing) JURNAL INSTEK (Informatika Sains dan Teknologi) Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya EIGEN MATHEMATICS JOURNAL Jurnal Sehat Mandiri Bulletin of Economic Studies (BEST) JES-MAT (Jurnal Edukasi dan Sains Matematika) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Adnan Sauddin
Univeristas Islam Negeri Alauddin Makassar
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mathematics Medicine & Pharmacology Physics Public Health Other

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Exploratory Factor Analysis Decision Process: Guide for Students and Researchs – Bagian 1 Sauddin, Adnan
Matematika dan Statistika serta Aplikasinya Vol 2, No 1 (2014)
Publisher : Jurusan Matematika FST-UIN Alauddi Makassar

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Abstract

Bagaimana seharusnya kita menggambar hubungan antara setiap variabel yang diikutkan suatu penelitian,, khususnya penelitian yang jumlah variabelnya sangat banyak merupakan pertanyaan sederhana, namun akan memberikan efek yang besar terhadap tidak validitas hasil penelitian yang dilakukan. Analisis factor merupakan sebuah teknik analisis statistic yang dapat membantu penelitian melakukan pengelompokan terhadap sekumpulan variabel dalam factor-faktor, dimana setiap variabel dalam satu variabel memiliki variansi yang besar. Penggunaan ilmu statistika sebagai alat untuk menganalisis, apalagi jika penggunaan ilmu statistic dibantu dengan menggunakan software seperti Minitab, SPSS, SAS. Bahwa menggunakan software dalam menghitung statistika, sebuah ungkapan “apapun yang kita masukkan dalam suatu software statistic pasti tetap akan menghasilkan sesuatu berupa angka”, pertanyaanya adalah apakah output yang dihasilkan tersebut valid atau tidak?ini merupakan pertanyaan penting. Oleh karena itu, pada artikel ini diberikan penjelasan, prosedur analisis data dengan analisis eksplorasi faktor
PENGENALAN R PROGRAMMING Bagian I Sauddin, Adnan
Matematika dan Statistika serta Aplikasinya Vol 2, No 2 (2014)
Publisher : Jurusan Matematika FST-UIN Alauddi Makassar

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Abstract

R Programming merupakan suatu bahasa pemrograman khusus untuk matematika dan statistika yang bersifat open source. Keunggulan dari aplikasi ini adalah dapat diperoleh secara terbuka tanpa membeli lisensi. Pada R programming juga pengguna dapat melakukan analisis dengan hanya menulis fungsi yang diinginkan dengan paket yang telah tersedia yang banyak pengembang dan atau membuat sendiri list program sesuai dengan rumus dari data yang akan dianalisis. Kekuatan R programming berada pada Keterbukaannya sehingga tersedia banyak paket yang dibuat oleh orang-orang yang kompenten sehingga memudahkan bagi pengguna yang tidak memiliki kemampuan komputasi yang lebih. Aplikasi ini juga mengkover hampir semua formula dalam matematika dan statistic, seperti, vektor dan matriks.
ESTIMATOR KERNEL PADA REGRESI NONPARAMETRIK MENGGUNAKAN PENDEKATAN FUNGSI KERNEL GAUSSIAN Alwi, Wahidah; Sauddin, Adnan; Nirmala, Nirmala
Teknosains Vol 13 No 2 (2019): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v13i2.9642

Abstract

The study by using the data to model a state (variable) in the statistical analysis usually requires certain assumptions in order to use the analysis results in accordance with the actual situation. This study uses a nonparametric procedure to estimate a function in which the function does not lead to a certain model of a particular function. The main problem of regression analysis is to determine the shape estimation. One approach that can be used to determine  is a kernel estimator with a Gaussian kernel approach. The data used is data that the percentage of women aged 15-49 who have been married according to the last birth attendants in South Sulawesi with the gynecologist predictor variables (), general practitioners (), midwives (), and the response variable () the number of women who have been married according to the last birth attendants. Methods GCV (Generalized Cross Validation) is used to obtain optimal bandwidth that is at ,  and = 25 with value GCV is . The optimum value is the maximum value of the percentage of women aged  who have been married according to the last birth attendants in South Sulawesi.
Analisis Survival dengan Menggunakan Metode Kaplan Meier pada Penderita Penyakit Demam Berdarah Dengue (DBD) Adnan Sauddin; M Ichsan Nawawi; Muhalki Muhalki
Jurnal Sehat Mandiri Vol 16 No 2 (2021): Jurnal Sehat Mandiri, Volume 16, No.2 Desember 2021
Publisher : Poltekkes Kemenkes Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.739 KB) | DOI: 10.33761/jsm.v16i2.358

Abstract

The Kaplan Meier method is one of the methods in survival analysis that is used to find out how big the chances of survival of a person suffering from a certain disease. The Kaplan Meier method calculates the patient's life by providing a definite survival proportion. The purpose of this study was to determine the relationship between age and length of treatment and patient status. The life chances of DHF patients using the Kaplan Meier method at the Lasinrang District Hospital. Pinrang. The results showed that there was no relationship between age and length of treatment as well as the status of DHF patients in Lasinrang Hospital Kab. Pinrang. The conclusion of this study is that the chance of survival of DHF patients before a patient dies is 100%. However, the chance of patient survival after 1 patient died during the observation was 99.1%. It is recommended that clinical monitoring should always be carried out, to predict the correct diagnosis of Dengue Virus Infection. And sero-epidemiological studies should continue to be carried out in many island capitals in Indonesia.
MENGGUNAKAN DAN MENGINTERPRETASIKAN EXPLORATION FACTOR ANALYSIS: PANDUAN BAGI PENELITI DAN MAHASISWA Adnan Sauddin
Teknosains Vol 8 No 3 (2014): Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v8i3.1834

Abstract

How should we draw the relationship between each variable in a study included a number of variables, especially research that is very much. A simple question, but it will have a profound effect on the validity of the research is not done. Factor analysis is a statistical analysis technique that can help conduct research on a set of variables in the grouping factors, where each variable in the variable has a large variance. The use of statistical science as a tool to analyze, especially if the use of statistical science aided by using software such as Minitab, SPSS, SAS. That uses software to calculate statistics, an expression of "whatever we put in a certain statistical software will still produce something in the form of numbers", the question is whether the resulting output is valid or not? These are important questions. Therefore, in this article provided a good explanation of the theory of mathematical statistics, along with the use of software (Minitab) to facilitate the calculation process, also given the interpretation of the results obtained.
PENGELOMPOKAN KABUPATEN/KOTA DI SULAWESI SELATAN BERDASARKAN INDIKATOR KESEHATAN DENGAN MENGGUNAKAN METODE AVERAGE LINKAGE Wahidah Alwi; Adnan Sauddin; Vivi Feromida
Teknosains Vol 14 No 1 (2020): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v14i1.12940

Abstract

Penelitian ini membahas tentang pengelompokan kabupaten/kota di Sulawesi Selatan berdasarkan indikator kesehatan dengan menggunakan metode Average Linkage. Kondisi kesehatan di Provinsi Sulawesi Selatan saat ini, masih terbatasnya jangkauan dan akses pelayanan kesehatan. Tujuan dari penelitian ini adalah untuk mengetahui daerah yang memiliki kemiripan karakteristik berdasarkan indikator kesehatan di Sulawesi Selatan. Terdapat beberapa metode yang dapat digunakan dalam pengelompokan, salah satunya analisis cluster Average Linkage. Dimana analisis cluster adalah salah satu teknik multivariat yang tujuan utamanya mengelompokkan objek berdasarkan karakteristik yang mereka miliki. Dari hasil penelitian, diperoleh bahwa daerah yang memiliki kemiripan karakteristik dari segi kesehatan di Provinsi Sulawesi Selatan berdasarkan variabel yang digunakan dibentuk 4 cluster. Kabupaten/Kota pada cluster 4 yaitu Kota Palopo, cluster 3 terdiri dari 2 Kabupaten/Kota yaitu Kabupaten Tana Toraja dan Toraja Utara, dan cluster 2 hanya terdiri dari 1 Kabupaten/Kota yaitu Kabupaten Bulukumba. Adapun cluster 1 terdiri dari 20 Kabupaten/Kota yaitu semua Kabupaten/Kota kecuali Kabupaten Bulukumba, Tana Toraja, Toraja Utara dan Kota Palopo.
Panel Data Regression Analysis with GLMM Approach (Case Study: HDI in South Sulawesi Province) Adiatma Adiatma; Adnan Sauddin; A. Hikmawati
Bulletin of Economic Studies (BEST) Vol 1 No 3 (2021)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/best.v1i3.25873

Abstract

South Sulawesi is a province consisting of several regencies/cities. To understand well the HDI of South Sulawesi, it takes a good understanding of the HDI situation of each Regency/City. The HDI situation which continues to increase from year to year can be used as an indicator to measure success in human development efforts. HDI can also determine the ranking or level of development of a region/country. This study aims to determine the factors that have a significant effect on HDI and to find out the best panel data regression model for HDI in South Sulawesi. The method used in this study is panel data regression analysis with the Generalized Linear Mixed Model (GLMM) approach. The results showed that the variable life expectancy (AHH), average length of school (RLS) and per capita expenditure (PP) had a significant effect on the human development index (HDI) in South Sulawesi Province in 2014-2018.Keywords: HDI, Panel Data Regression, Generalized Linear Mixed Model.
Analysis of Factors Affecting Indicators of Community Welfare in South Sulawesi Using Path Analysis Method Adnan Sauddin; Adiatma Adiatma; Nurliani Nurliani
Bulletin of Economic Studies (BEST) Vol 1 No 3 (2021)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/best.v1i3.26107

Abstract

The welfare of the community can be measured by several indicators such as education, health, economy, employment, etc. It’s indicators that have been established as indicators of community welfare by the Central Statistics Agency (BPS) that can support national development. This research aims to analyze the factors that influence the indicators of community welfare using the path analysis method. The results of the analysis show that health indicators significantly influence economic indicators, in this case GRDP and employment indicators which are measured through the workforce level with the scope of research is South Sulawesi.Keywords: Community Welfare, Education, Health, Labor Force, GRDP, Path Analysis
Pengolahan Data PPJB-KOCE (Panen, Pengolahan dan Jual-Beli Komoditas Cengkeh) pada Basis Data dengan User Interface Berbasis Web Herianto; Irwan; Adnan Sauddin
Jurnal INSYPRO (Information System and Processing) Vol 7 No 1 (2022)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v7i1.23587

Abstract

Basis data merupakan solusi alternatif untuk menjawab masalah pengolahan data termasuk data terkait kegiatan PPJB-KOCE (panen, pengolahan, serta jual-beli komoditas cengkeh). Menggunakan user interface yang berbasis web akan dapat memudahkan petani dan pedagang untuk memahami bagaimana mengelola basis data. Penelitian ini mengembangkan dan menjelaskan sistem basis data lengkap dengan user interface yang dapat digunakan petani maupun pedagang dalam mengelola data komoditas cengkeh terkait kegiatan panen, pengolahan, serta jual-beli. Adapun tahapan pengembangan sistem basis data dan user interface berbasis web secara garis besar di bagi dalam 2 (dua) fase, yaitu: Pengembangan Basis Data, dan Pengembangan User Interface berbasis Web. Setiap fase terdiri dari 3 (tiga) tahap, yaitu: analisis kebutuhan, Perancangan, dan Pengkodean Penelitian ini juga menjelaskan konsep matematika dalam sistem basis data yang dihasilkan.
APPLICATION OF EXPONENTIAL SMOOTHING METHOD TO FORECASE THE AMOUNT OF RICE PRODUCTION IN TANATE RIAJA DISTRICT, BARRU REGENCY Khalilah Nurfadilah; Adnan Sauddin; Winda Saputri
Eigen Mathematics Journal Vol. 5 No. 1 Juni 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i1.127

Abstract

Exponential smoothing is a forecasting method with data that tends to fluctuate. Rice production is one of the data with these properties. This study discusses the agricultural production, the variable used to predict the level of rice production in Tanete Rilau District, Barru Regency . This study aims to predict the total production of rice plants from 2021 to 2025. The analysis results show that the forecast values for the entire production of rice plants from 2021 to 2025 are 24016.6, 24613.14, 25018.36, 25342.54, and 25601.88, respectively. It can be seen that rice production forecasting using the exponential smoothing method fluctuates yearly.
Co-Authors A. Hikmawati Abeng, Andi Tenri Adiatma Adiatma Adiatma Adiatma Adiatma Adiatma Adiatma Ale Miftahulhaer, Ale Miftahulhaer Amma, Karmatang AN, Ningsih Andi Mariani Anita Kaimuddin Anugrawati, Sri Dewi Asfar Asmarianti Astuti - Auliah, Nur Indah Bakri, Nurjannah Ermawati Faradila, Adhe Hayati Hayati Herianto Ilham Nur Ilahi Ilma Islamiyah, Nurul Irwan Irwan Irwan Irwan Kasse Iswanto, Ardi Kumaladewi, Yanti M. Ikhsan Amarta Muh Irwan Muh. Irzan Muhalki Muhalki Muhammad Muhadir Aludin Muhammad Ridwan Munawwarah Nahda Islamiah. M Nawawi, M. Ichsan Nawawi, Moh. Ichsan Nirmala Nirmala, Nirmala Nirwana Nufus, Husnatun NUR AENI Nur Aeni Nur Ida Nurfadilah, Khalilah Nurliani Nurliani Nurma, Try Azisah Nurul Inayah NURUL WULANDARI Oktaviani, Risqi Ramadhani, Nur Suci Rasyid, Adiatma Ratnasari Reni Astuti Riqas, Ahmad Rismawati Risnawati Ibnas Rizaldy, Adhy Sadem Rahayu Sudarta Salim, Muhammad Ihsan Sumarni, Kiki Upe, Indo Vivi Feromida Wahidah Alwi Wahidah Alwi Wahyuni Abidin Wahyuni, Risa Winda Saputri WS Athiyyah Hazimah Yulia, Yulia Novita Sari Z, Eldasari