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Multi Proximity: Jurnal Statistika Universitas Jambi
Published by Universitas Jambi
ISSN : -     EISSN : 2830554X     DOI : -
Core Subject : Education,
Mathematics
This journal publishes research articles / manuscripts with the following scope: Multivariate Analysis Regression and Correlation Actuarial Mathematics Structural Equation Modelling Geometry in Multivariate Statistics Statistical Mathematics Applied Statistics Econometrics Stochastics Process Design of Experiments Statistical Quality Control Techniques in Sampling of Survey Statistical Computing Time Series Data Analysis Forecasting Methods Statistical Modelling Statistical Ecology Genetical Statistics Inferential Statistics Analysis Categorical Data Analysis Statistics in Psychometric Non - Parametrics Statistics Statistics in Natural Science Biostatistics Geostatistics Statistics of Occupational Safety and Health Applied Graph in Statistics Applied Statistics in Optimization Applied Statistics in Education Data Mining/Big Data Analysis
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 12 Documents
 1   2 
Search results for , issue "Vol. 2 No. 2 (2023): Applied Statistics" : 12 Documents clear
Peramalan Nilai Tukar Petani Subsektor Hortikultura Menggunakan ARIMA Adilah, Silvia Nur; Mardhotillah, Bunga
Multi Proximity: Jurnal Statistika Vol. 2 No. 2 (2023): Applied Statistics
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/multiproximity.v2i2.30991

Abstract

Nilai tukar petani subsektor hortikultura menjadi salah satu tolak ukur yang digunakan untuk melihat tingkat kesejahteraan hidup petani yang diukur dari peningkatan pendapatan dan daya beli petani untuk memenuhi kehidupan sehari-hari. Angka dari nilai tukar petani subsektor hortikultura mengalami fluktasi di setiap bulan maupun di setiap tahunnya. Tujuan dari penelitian ini adalah untuk melihat perubahan dari angka tersebut dengan cara meramalkan nilai tukar petani subsektor hortikultura selama beberapa periode kedepan. Pada penelitian ini akan dilakukan peramalan selama 4 periode kedepan. Metode yang digunakan adalah metode analisis deret waktu, yaitu ARIMA. Hasil penelitian menunjukkan bahwa nilai tukar petani subsektor hortikultura pada bulan September 2023 sebesar 113.692, Oktober 2023 sebesar 114.125, November 2023 adalah 114.557 dan Desember 2023 sebesar 114.990. Kata Kunci: ARIMA, NTPH, peramalan
Relation Visualization of Environmental Quality Index with Environmental Resource Indicators Using Multiple Indicators Multiple Causes Model Mardhotillah, Bunga; Zurweni, Zurweni; Elisa, Edi; Alim, Khairul
Multi Proximity: Jurnal Statistika Vol. 2 No. 2 (2023): Applied Statistics
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/multiproximity.v2i2.31022

Abstract

This research aims to visualize the model of environmental resource factors on the constituent factors of the environmental quality index using the multiple indicators multiple causes (MIMIC) method, using secondary data sourced from IKLH 2020. The predictor variables in this study include air quality, water quality, land cover quality, and environmental quality. Some of the indicators in this research are Conservation Forest Area, Limited Production Forest Area, Fixed Production Forest Area, Protection Forest Area, Coral Reefs, and Mangroves. Data Analysis using MIMIC Model generated by JASP Software, showing a very significant baseline and model factor. Some predictor coefficients have low standard error (close to zero), as well as significant indicators coefficients, except coral reefs, with a p-value of 0.736. The form model is worth using, since the RMSEA is worth 0.188. With a P-Value of 0.005. A high R-Squared is given by two indicators, namely Limited Production Forest Area, and Fixed Production Forest Area, respectively valued at 0.968 and 0.790

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