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Variansi : Journal of Statistics and Its Application on Teaching and Research
Published by Universitas Negeri Makassar
ISSN : -     EISSN : 26847590     DOI : https://doi.org/10.35580/variansiunm
Core Subject : Economy, Health, Science, Education,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Public Health
VARIANSI: Journal of Statistics and Its application on Teaching and Research memuat tulisan hasil penelitian dan kajian pustaka (reviews) dalam bidang ilmu dasar ataupun terapan dan pembelajaran dari bidang Statistika dan Aplikasinya dalam pembelajaran dan riset berupa hasil penelitian dan kajian pustaka.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 6 Documents
 1 
Search results for , issue "Vol 3, No 1 (2021)" : 6 Documents clear
Metode Vector Autoregressive (VAR) dalam Menganalisis Pengaruh Kurs Mata Uang Terhadap Ekspor Dan Impor Di Indonesia Dwi Reskiyani Febrianti; Muhammad Arif Tiro; S. Sudarmin
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm14645

Abstract

Abstrak. Metode Vector Autoregressive (VAR) adalah salah satu analisis yang digunakan untuk menganalisis data deret waktu. Data deret waktu dikategorikan menurut interval waktu yang sama, baik dalam harian, mingguan, bulanan, kuartalan, ataupun tahunan. Vector Autoregressive (VAR) merupakan pemodelan yang tidak perlu menentukan variabel endogen dan variabel eksogen. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kurs mata uang terhadap ekspor dan impor di Indonesia. Data yang digunakan dalam penelitian ini adalah data kurs, ekspor, dan impor dari bulan Januari 2014 hingga Desember 2018. Uji stasioneritas dalam penelitian ini menggunakan metode Augmented Dickey Fuller (ADF). Dalam penelitian ini menggunakan differencing terhadap data karena data tidak stasioner pada level. Penentuan panjang lag optimal diperoleh dari nilai Akaike Information Criterion (AIC) yang paling minimum. Estimasi model VAR diperoleh setelah penentuan panjang lag optimal. Uji kausalitas dilakukan dengan uji Causality Granger untuk melihat pengaruh timbal balik antar variabel yang diuji dalam penelitian ini. Terakhir menggunakan uji Impulse Response Function (IRF) untuk menelusuri guncangan atau shock suatu variabel terhadap variabel lainnya. Adapun hasil analisis yang diperoleh menunjukkan terdapat dua hubungan satu arah yaitu kurs mempengaruhi ekspor dan ekspor mempengaruhi impor.Kata Kunci: VAR, Kurs, Ekspor, Impor.
Analisis Cluster Ensemble dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Kinerja Pembangunan Ekonomi Daerah Adrian Aqil Yusfar; Muhammad Arif Tiro; S. Sudarmin
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm14626

Abstract

Abstract. Cluster analysis or group analysis is an analysis method to classify objects of observation into several groups based on their characteristics. Conventional methods namely Hierarchy and Non-Hierarchy are used in the formation of the initial group. However, the results of the grouping formed had mixed results so that the Cluster Ensemble analysis was then used to obtain a good final grouping. The Cluster Ensemble with the Link-Based Cluster Ensemble approach with the Connected Triple Based Similarity (CTS) method resulted in three final group divisions. The evaluation of the grouping performance used, namely Compactness and Davies-Bouldin, stated that the Cluster Ensemble was better than the hierarchical and non-hierarchical methods. The final group that has been formed is described using the average value for each variable in the district / city in South Sulawesi Province. The first group has the characteristics of regional economic development performance that is better than the second and third groups, but for the third group has the lowest characteristics of regional economic development performance from the first and second groups.Keywords : Cluster, Cluster Ensemble, Group Performance Evaluation, Performance, Regional Economic
Analisis Meta Regresi untuk Menjelaskan Heterogenitas Hasil Penelitian pada Kejadian Demam Berdarah Dengue S. Shindy; Muhammad Kasim Aidid; Muhammad Nusrang
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm14643

Abstract

Abstract. Meta regression analysis is an analysis that can summarize the results of research with the same topic so that a conclusion is obtained in the form of effect size and can explain the heterogeneity of the results of several studies. In this study using data from the previous Dengue Hemorrhagic Fever incident study which linked the factors of habit of draining habits of water shelters (TPA). Based on the results of the analysis, there was heterogeneity between studies. For the landfill drainage factor, the estimated parameter combined effect size random effect model is 3.60 and the proportion of heterogeneity is 54.08%. The results of the meta-regression for habitual factors of landfill drainage factors, the influence of TPA drainage habits can explain heterogeneity between effect sizes.Keywords: Effect size, Heterogeneity, Meta Regression Analysis, Dengue Hemorrhagic Fever.
Analisis Regresi Balanced Panel dengan Komponen Galat Dua Arah pada Kasus Melek Huruf Masyarakat di Provinsi NTB Muhammad Irwansyah; R. Ruliana; Muhammad Kasim Aidid
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm14644

Abstract

Abstract. Analsis regresi adalah suatu metode untuk melihat pengaruh antara satu atau lebih peubah bebas terhadap peubah terikat. Data yang digunakan untuk analisis regresi ada yang berupa penggabungan antara data cross section dengan data time series yang dikenal dengan nama data panel. Data panel yang memiliki jumlah pengamatan waktu yang sama di setiap objek pada tabulasi silang merupakan data panel lengkap (Balanced panel). Penelitian ini mencari nilai dugaan terhadap model regresi data panel dengan komponen galat dua arah yaitu galat pada waktu dan galat pada individu. Analisis regresi data panel dapat menggunakan tiga pendekatan yaitu common effect model, fixed effect model, dan random effect model. Pemilihan model terbaik dari ketiga pendekatan regresi data panel menggunakan uji hausman, uji chow, dan uji lagrange multipler. Dalam penelitian ini didapatkan model terbaik yaitu model random effect dimana peubah yang memiliki pengaruh signifikan terhadap melek huruf di Provinsi NTB yaitu rasio murid guru tingkat SMP rasio murid guru tingkat SMA, dan persentase penduduk miskin. Model regresi data panel yang terbentuk yaitu: Y = 117,5728 - 0,1967X5 - 0,3091X6 - 0,3297X7 + eKeywords: regresi data panel, common effect model, fixed effect model, random effect model, melek huruf.
Pemodelan dengan Spatial Autoregressive (SAR) pada Angka Putus Sekolah Bagi Anak Usia Wajib Belajar di Provinsi Sulawesi Selatan Rika Nasir; Suwardi Annas; Muhammad Nusrang
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm9358

Abstract

Abstract. Regresi spasial merupakan pengembangan dari regresi klasik. Pengembangan ini berdasarkan adanya pengaruh tempat atau spasial dari data yang dianalisis. Beberapa model regresi spasial adalah Spatial Autoregressive (SAR), Spatial Error Model (SEM) dan Spatial Moving Average (SARMA). Penelitian ini menggunakan analisis model SAR terhadap angka putus sekolah di Sulawesi Selatan. Data yang digunakan merupakan data sekunder dari Badan Pusat Statistik Provinsi Sulawesi Selatan tahun 2018. Penelitian ini dilakukan untuk mengetahui model Spatial Autoregressive (SAR) pada data banyaknya angka putus sekolah yang terjadi di Provinsi Sulawesi Selatan, serta mengenalisis faktor-faktor yang memberikan pengaruh signifikan terhadap pertumbuhan angka putus sekolah. Hasil penelitian ini memperoleh model yaitu ; sehingga faktor-faktor yang berpengaruh secara signifikan terhadap angka putus sekolah di Sulawesi Selatan adalah pengeluaran per kapita, rasio murid terhadap sekolah dan jumlah penduduk miskin.Keywords: Regresi Spasial, Spatial Autoregressive Model (SAR), Angka Putus Sekolah
Analisis Nonparametrik Mann Whitney Terhadap Perbedaan Kemampuan Pemecahan Masalah Menggunakan Model Pembelajaran Problem Based Learning Andi Quraisy; Setiawan Madya
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 1 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm23810

Abstract

This study aims to determine whether there are differences in mathematical problem solving abilities in the experimental class and control class using the Problem Based Learning Model. This type of research is a quasi-experimental involving two groups that are given different treatments. The population of this study was class XI SMAS PPM Rahmatul Asri and two classes were selected by cluster random sampling as the research sample, namely class as an experimental class taught using the Problem Based Learning Model, while class as a control class taught using conventional learning. The research instrument used was in the form of a problem-solving ability test in the form of a test in the form of a description. The data that has been collected were analyzed using descriptive and inferential statistical techniques. The results of data analysis showed that the average value of students' problem-solving ability results in the experimental class was 91.57 higher than the control class 83.67, however the variety of data in the control class tended to be 4.45 better than the experimental class 7.61. The problem-solving ability of class taught using Problem Based Learning with the problem-solving ability of class taught using conventional learning showed that there was no significant difference. This can be seen from the results of the analysis using the Mann Whitney test with a significance level of 5%, it appears that the value of p (sig.(2-tailed)) = 0.782 < = 0.05; This means that H0 is accepted

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