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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Pattimura International Journal of Mathematics (PIJMath) PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Lexy Janzen Sinay, Lexy Janzen
Jurusan Matematika, Fakultas MIPA Universitas Pattimura Ambon Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Journal : Variance : Journal of Statistics and Its Applications

 1 
PERFORMANCE ANALYSIS OF RANDOM FOREST CLASSIFICATION ON UNEMPLOYMENT RATE IN MALUKU PROVINCE BASED ON DATA BALANCING METHOD Yunizar, Mahdayani Putri; Sinay, Lexy Janzen; Yudistira, Yudistira
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 1 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss1page31-38

Abstract

In 2023, the number of unemployed people in Maluku will reach 59,800 or 6.08% of the total population. To reduce unemployment in Maluku, it is essential to understand the unemployment situation of the Moluccan population based on socioeconomic factors immediately. Therefore, applying classification methods such as random forests is the right step, but it is recommended that the data be balanced to get accurate results. However, the unemployment rate in Maluku is much lower than that of the unemployed, so data imbalance affects the accuracy of the classification results. Therefore, a data balancing process is needed, among others, using the Random Oversampling of Sample (ROSE), Synthetic Minority Oversampling Technique (SMOTE), and Adaptive Synthetic Sampling (ADASYN) methods. This study uses data from the 2023 National Labor Force Survey (SAKERNAS) conducted in February by the Central Statistics Agency (BPS) of Maluku. The number of unemployed people is smaller than the number of unemployed residents. Therefore, action needs to be taken to address data inequality. The results of this study show that the random forest classification model with SMOTE has the best performance with a combination of 90% training data and 10% testing data, with a higher AUC value than other methods, and age variables are the most essential variables built into the model.
PEMODELAN LAJU PERTUMBUHAN EKONOMI DI PROVINSI MALUKU MENGGUNAKAN REGRESI SPASIAL DATA PANEL Sampulawa, Zulfikar Ilham; Sinay, Lexy Janzen; Djami, Ronald John
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 1 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss1page113-122

Abstract

Laju pertumbuhan ekonomi merupakan suatu tingkat perkembangan agregrat pendapatan untuk setiap tahun yang dapat dibandingkan serta dapat memberikan gambaran inti mengenai kinerja dari setiap wilayah kabupaten atau kota dalam pemanfaatan wilayahnya. Laju pertumbuhan ekonomi di Provinsi Maluku mengalami peningkatan pada tahun 2022 sebesar 4,81%, walaupun pernah mengalami penurunan pada periode 2020 sebesar -0,92%. Adapun penelitian ini bertujuan untuk mendeskripsikan karakteristik dan memetakan sebaran data serta dapat memodelkan laju pertumbuhan ekonomi di Provinsi Maluku dari periode 2017 sampai dengan 2021. Dengan menggunakan metode analisis spasial data panel dengan pembobot spasial queen contiguity, yang merupakan pembobot yang bertujuan sebagai komponen penting dalam pembentukan model karena dalam hal ini menunjukkan hubungan keterkaitan antar lokasi sehingga diperoleh model terbaik ialah SAR-fixed effect. Dari penelitian ini didapatkan hasil bahwa variabel independen yang terdiri atas variabel Indeks Pembangunan Manusia (IPM), Dana Alokasi Umum (DAU), dan Jumlah Pengangguran Terbuka (JPT) berpengaruh signifikan secara simultan terhadap laju pertumbuhan ekonomi di Provinsi Maluku, dengan koefisien determinasi (R-Square) sebesar 0,6323 atau 63,23%, yang menunjukan bahwa kemampuan variabel independen menjelaskan variabel dependen sebesar 63,23%.
Co-Authors Arifin, Hasmia Melati Borel, Aryanto Damamain, Ferina L Damamain, Ferina Lestari Ega, L Esther Kembauw, Esther Ferdinandus, Stenly J Haumahu, Gabriella Ilwaru, Venn Yan Ishak Jaariyah, Muhidin Latupeirissa, Sanlly J Lewaherilla, Norisca Lusye Bakarbessy Meilin Imelda Tilukay Muhammad Faisal Muspida, Muspida Pelu, Shelma M RAHAKBAUW, DORTEUS LODEWYIK Regar, Erfendi Restia Christianty Rijoly, Monalisa E. Ronald John Djami Salmon Notje Aulele, Salmon Notje Sampulawa, Zulfikar Ilham Sopaheluwakan, Marsa Souhoka, Semuel Wenno, Meiske Yopi Andry Lesnussa Yudistira Yudistira Yunizar, Mahdayani Putri