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All Journal Teknosains: Media Informasi Sains dan Teknologi Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Bulletin of Economic Studies (BEST)
Adiatma
Universitas 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 Environmental Science Mathematics Medicine & Pharmacology Physics

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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
Penerapan Model Seemingly Unrealated Regression (SUR) Spasial pada Tingkat Kasus Kriminalitas di Provinsi Sulawesi Selatan Rasyid, Adiatma; Kasse, Irwan; Sauddin, Adnan
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 9 No 1 (2021): VOLUME 9 NOMOR 1 TAHUN 2021
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v9i1.19361

Abstract

This research conducted discusses the crime rate in South Sulawesi Province. There are several main factors that can lead to crime, especially in South Sulawesi Province. This research was conducted to see the Spatial Seemingly Unrealated Regression SUR) model at the crime rate in South Sulawesi Province, but there are assumptions that do not meet the SUR Spatial Analysis, so the model obtained is limited to the Spatial Autoregressive (SAR) and Spatial Eror Model (SEM). The SAR model obtained shows that the population, the number of poor people, and the GDP per capita have a positive and significant effect on the risk of the population being affected by crime. The SEM model obtained shows a positive and significant effect between the population, the number of unemployed has a negative and significant effect on the risk of the population being exposed to crime.
IDENTIFIKASI FAKTOR YANG MEMPENGARUHI MAHASISWA UIN ALAUDDIN MAKASSAR DALAM BERBELANJA ONLINE Rasyid, Adiatma; Sauddin, Adnan; Amma, Karmatang
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 9 No 2 (2021): VOLUME 9 NOMOR 2 TAHUN 2021
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v9i2.23451

Abstract

Konsep belanja di masyarakat mengalami perkembangan dengan adanya belanja online. Belanja online pun semakin populer di kalangan mahasiswa yang bisa dilihat dengan meningkatnya pola transaksi belanja online yang semakin hari semakin meningkat. Beberapa faktor yang menyebabkan seseorang atau mahasiswa berbelanja online diantaranya menghemat waktu dan biaya, penyampaian informasi yang up to date, produk yang beraneka ragam, dapat membandingkan harga dengan mudah, serta konsumen dapat memberikan masukan atau saran apabila produk yang dipesan tidak sesuai dengan ekspektasi dan lain sebagainya. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi mahasiswa UIN Alauddin Makassar dalam Berbelanja Online. Metode yang digunakan pada penelitian ini adalah EFA (Exploratory Factor Analysis). Hasil penelitian menunjukkan bahwa terdapat 8 faktor yang mempengaruhi mahasiswa UIN Alauddin Makassar dalam berbelanja online yaitu kemudahan, pelayanan, ketersediaan media transaksi, kualitas informasi, keamanan, potongan harga, profesionalisme, dan kepercayaan.
Model regresi nonparametrik dengan pendekatan spline (Studi kasus: Gizi buruk di Kota Makassar) Alwi, Wahidah; Adiatma, Adiatma; Sauddin, Adnan; Faradila, Adhe
Teknosains Vol 19 No 1 (2025): Januari-April
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v19i1.52467

Abstract

Penelitian ini membahas tentang pemodelan gizi buruk di Kota Makassar melalui pendekatan regresi nonparametrik spline. Mengingat bahwa hubungan antara tingkat gizi buruk pada balita di Kota Makassar dengan faktor-faktor yang diduga mempengaruhinya tidak membentuk pola tertentu. Sehingga penulis menggunakan pemodelan regresi nonparametrik spline. Metode spline sangat baik dalam memodelkan data yang memiliki pola yang berubah-ubah pada sub-sub interval tertentu. Dalam penelitian ini menggunakan empat faktor yang diduga mempengaruhi persentase gizi buruk balita di Kota Makassar. Faktor-faktor tersebut adalah Berat Badan Lahir Rendah (BBLR), balita yang mendapatkan pelayanan kesehatan, balita yang mendapatkan vitamin A dan balita yang mendapatkan ASI eksklusif. Data Profil Dinas Kesehatan Kota Makassar tahun 2021 mencakup persentase gizi buruk pada balita serta empat faktor yang diduga memengaruhinya. Melalui penggunaan regresi nonparametrik spline, dihasilkan bahwa semua variabel prediktor mempengaruhi persentase gizi buruk balita di Kota Makassar, dengan nilai R² sebesar 98,74%. Ini berarti model regresi nonparametrik spline yang diperoleh mampu menjelaskan 98,74% dari variasi persentase gizi buruk balita.
Co-Authors A. Hikmawati Adnan Sauddin Amma, Karmatang Faradila, Adhe Irwan Kasse Nurliani Nurliani Wahidah Alwi