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All Journal Jurnal Pendidikan Geografi Undiksha Sinkron : Jurnal dan Penelitian Teknik Informatika
Febrianti, Lusi
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Computer Science & IT Education

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Classification of the Human Development Index in Indonesia Using the Bootstrap Aggregating Method Goldameir, Noor Ell; Yolanda, Anne Mudya; Adnan, Arisman; Febrianti, Lusi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 1 (2021): Article Research October 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v6i1.11173

Abstract

Successful development of the quality of human life in a region is determined by the Human Development Index (HDI). Human development performance based on the HDI can be measured: long and healthy life, knowledge, and a decent standard of living. The HDI is usually grouped into several categories to facilitate the classification of the HDI level of each region. This study aimed to determine the ability of the bootstrap aggregating (bagging) method to classify the HDI by district/city. Bagging is a stochastic machine learning approach that can eliminate the variance of the classifier by producing a bootstrap ensemble to obtain better accuracy results. The dependent variable in this study was the HDI by district/city in 2020. In contrast, life expectancy at birth, expected years of schooling, mean years of schooling, and real expenditure per capita are adjusted as independent variables. Bagging was applied to the high and low categories of HDI data. The bagging method demonstrated good classification performance due to only eight classification errors, namely the HDI data which should be in the high category but classified into the low category by the bagging method. Based on the results of calculations with 25 replications, it can be concluded that the bagging method has a very good performance, with an accuracy value of 92.3%, the sensitivity of 100%, and specificity of 83.33%. The bagging method is considered very good for the classifying the HDI by district/city in Indonesia in 2020 because it has a balanced accuracy of 91.67%.
Microblog dan Mobile Learning: Inovasi Metode Pembelajaran dalam Meningkatkan Creativity Skill Dewi, Kusuma; Indahwati, Kristin; Febrianti, Lusi
Jurnal Pendidikan Geografi Undiksha Vol 9, No 3 (2021): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v9i3.36250

Abstract

Kreativitas adalah keterampilan yang penting dimiliki siswa dalam mencapai kesuksesan pembelajaran abad 21. Keterampilan ini dapat dicapai melalui pemanfaatan microblog. Microblog menumbuhkan minat dan mempersiapkan siswa menjadi kreator dalam kehidupan sehari-hari. Pemanfaatan microblog di era digital dapat melalui penerapan mobile learning. Mobile learning mendukung pembentukan keterampilan siswa melalui perangkat mobile. Penelitian ini bertujuan untuk mengajukan inovasi metode pembelajaran daring untuk mencapai kreativitas siswa. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Subjek penelitian adalah siswa kelas XI IPS di SMA Negeri 7 Malang. Metode pembelajaran yang digunakan yaitu mobile learning dengan platform Google Meet dan Google Classroom. Selain itu penelitian ini menggunakan learning tools yaitu Instagram. Hasil penelitian menunjukkan bahwa penggunaan microblog dalam pembelajaran mobile learning dapat membantu pencapaian kreativitas siswa. Hal tersebut dapat dibuktikan dari hasil ketuntasan belajar siswa yang mencapai angka 79% dengan rata-rata nilai yang diperoleh adalah 87,7 dari nilai ketuntasan produk. Inovasi pembelajaran proyek melalui microblog ini dapat menjadi alternatif pembelajaran online.
Co-Authors Anne Mudya Yolanda Arisman Adnan Dewi, Kusuma Goldameir, Noor Ell Indahwati, Kristin