Judul: Identifikasi Karakteristik Anak Putus Sekolah Di Jawa Barat Dengan Regresi Logistik
Abstrak: Anak putus sekolah adalah permasalahan pendidikan yang merupakan kondisi anak yang tidak berkesempatan untuk menyelesaikan pendidikan hingga tidak memperoleh keterangan tamat belajar atau ijazah yang disebabkan oleh faktor-faktor tertentu. Sebesar 2.15% anak usia 7-15 tahun di Jawa Barat mengalami putus sekolah berdasarkan data SUSENAS tahun 2013. Tiga aspek yang memiliki potensi besar terhadap kejadian anak putus sekolah adalah karakteristik sosial, ekonomi, dan demografi. Pada penelitian ini digunakan analisis regresi logistik untuk mengetahui pengaruh anak putus sekolah berdasarkan tiga aspek tersebut. Hasil analisis regresi logistik pada taraf nyata 5% menunjukkan bahwa karakteristik sosial, ekonomi, dan demografi berpengaruh terhadap kejadian anak putus sekolah yaitu pendidikan terakhir kepala rumah tangga yang rendah, jumlah anggota rumah tangga lebih dari empat, pengeluaran rumah tangga per kapita kurang dari garis kemiskinan, lokasi tempat tinggal di perkotaan, dan anak laki-laki. Model yang dihasilkan cukup baik digunakan untuk melakukan pendugaan dengan nilai sensitivitas sebesar 70.20% serta luas area di bawah kurva ROC sebesar 76.42%.
Keyword: anak putus sekolah, kurva ROC, regresi logistik, sensitivitas

Judul: Identifikasi Faktor yang Memengaruhi Anak Putus Sekolah di Provinsi Daerah Istimewa Yogyakarta Menggunakan Regresi Logistik Biner
Abstrak: Anak putus sekolah merupakan anak yang tidak mampu menyelesaikan pendidikannya dan berhenti sekolah sebelum masa belajarnya berakhir sehingga belum memiliki tanda tamat belajar atau ijazah pada jenjang pendidikan tersebut. Provinsi DIY merupakan salah satu provinsi yang memiliki kasus putus sekolah dan mengalami peningkatan dari tahun 2018 sampai 2020. Untuk itu, penelitian ini bertujuan memodelkan kejadian anak putus sekolah di Provinsi DIY menggunakan regresi logistik biner dengan menerapkan metode SMOTE untuk menangani ketidakseimbangan data sehingga diketahui faktor-faktor yang memengaruhinya. Regresi logistik biner digunakan karena peubah respon bersifat biner (Y = 1 jika putus sekolah dan Y = 0 jika masih aktif bersekolah). Data penelitian menggunakan data sekunder hasil Survei Sosisal Ekonomi Nasional 2021 yang dilakukan oleh Badan Pusat Statistik wilayah Provinsi DIY. Hasil penelitian menunjukkan faktor yang berpengaruh, yaitu pendidikan kepala rumah tangga, rata-rata pengeluaran rumah tangga perkapita, status bekerja anak, dan status penerima PIP dengan ketepatan klasifikasi model berikut : akurasi 79,16%, F1-score 17,19%, dan AUC 83,22%., Dropout schools are children who are unable to complete their education and leave school before the end of their study period so that they do not obtain certificate from school or a diploma at that level of education. DIY Province is one of the provinces that has dropout cases increasing from 2018 to 2020. For this reason, this study aims to model the incidence of school dropouts in DIY Province using binary logistic regression by applying the SMOTE method to handle data imbalances so that the factors that influence it are known. Binary logistic regression was used because the response variables were binary (Y = 1 if they dropped out of school and Y = 0 if they were still in school). This research used secondary data from the 2021 National Socio-Economic Survey conducted by the Central Statistics Agency for the DIY Province. The results showed that the influencing factors were the education of the head of the household, the average household expenditure per capita, the child’s working status, and the status of PIP recipients with 79,16% accuracy, 17,19% F1-score, and 83,22% AUC.
Keyword: binary logistic regression, school dropout, smote

Judul: Hybrid solar cells of ZnO nanoparticles/chlorophyll was modified metal ions (Zn2+ and Cu2+ )
Abstrak: Zinc Oxide (ZnO) is a n-type semiconductor with a wide the energy band (Band Gap) is 3.37 eV at room temperature and 3.34 eV at low temperature with a large exiton binding energy is 60 meV. ZnO has been synthesized by hydrothermal method, resulting in a decrease in particle size over the duration of the hydrothermal changes. Crystallographic structure of ZnO were characterized using XRD, has shown the characteristic pattern of a hexagonal wurtzite structure, the crystallite size increases to changes in particle size. Changes in particle size has also led to a change in the absorption peak of ZnO as has been demonstrated posted under test using the optical properties of UV-Vis spectrophotometer. Changes of this uptake has also led to changes in the energy band gap, which increases its band gap energy of the particle size. In electronic applications, especially in solar cells. Chlorophyll is considered less effective, because of their very nature are easily degraded as a result of several reactions which are acid, lighting and temperature. The results of the stability test using a halogen lamp 34 W/m2 for 5 hours, that the substitution of chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form more stable than natural chlorophyll. The characterization of the optical properties, the combination of ZnO / chlorophyll in the form of hybrid films has led to a shift in the absorption region of ZnO becomes more widely from the UV to Visible. ZnO/chlorophyll has absorption range of 350-515 nm, ZnO / Zn-feofitin 332-401 nm and 332-632 nm for Cu-feofitin. The combination of ZnO/chlorophyll and CuSCN as a solid electrolite in hybrid solar cell, a modified chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form a more stable I-V curve. It is characterized by its fill factor value greater than natural chlorophyll. Nevertheless, solar cells with natural chlorophyll has been able to produce higher efficiency values of chlorophyll were substituted.
Keyword: Hydrothermal, ZnO/Chlorophyll modified, Hybrid Solar Cell