Judul: Identifikasi Faktor yang Memengaruhi Status Rawan Pangan Rumah Tangga di Provinsi Jawa Barat
Abstrak: Kesejahteraan bagi suatu rumah tangga ditandai dengan terpenuhinya kebutuhan standar hidup salah satunya adalah pangan. Negara berkewajiban dalam memenuhi kebutuhan pangan tertuang dalam UU No.18 Tahun 2012. Perwujudan ketahanan pangan perlu dimulai dari terpenuhinya kebutuhan pangan pada skala terkecil (rumah tangga). Jawa Barat merupakan provinsi dengan jumlah penduduk terbanyak di Indonesia. Ketersediaan pangan akan terancam dengan semakin meningkatnya jumlah penduduk, dikhawatirkan dapat mengancam ketahanan pangan di Jawa Barat hingga ke skala rumah tangga. Penelitian ini membangun model klasifikasi status rawan pangan rumah tangga serta mengkaji faktor yang memengaruhinya dengan pendekatan metode multivariate adaptive regression splines (MARS). Model MARS terpilih pada penelitian ini terbentuk berdasarkan kombinasi basis function (BF) = 28, maximum interaction (MI) = 2, dan minimum observation (MO) = 1, model menghasilkan generalized cross validation (GCV) minimum sebesar 0.1604912. Terdapat 8 dari 14 peubah penjelas berpengaruh signifikan berdasarkan tingkat kepentingan terhadap model klasifikasi status rawan pangan rumah tangga di provinsi Jawa Barat. Evaluasi model dilakukan pada data uji dihasilkan nilai akurasi sebesar 64.66% dan apparent error rate (APER) sebesar 35.34%. Pada keseluruhan data dihasilkan nilai akurasi sebesar 64.9% dengan APER sebesar 35.1%. Statistik Uji Press’s Q menunjukan hasil klasifikasi sudah stabil dan konsisten secara statistik pada taraf nyata 5%., Welfare for a household is characterized by the fulfilling living standard needs, one of which is food. The state is obliged to meet the food needs contained in Law No.18 of 2012. The realization of food security needs to start from the fulfilling food needs on the smallest scale (household). West Java is the province with the largest population in Indonesia. The increasing population will threaten food availability, feared to threaten food security in West Java to the scale of households. This study builds a classification model of household food insecurity status and examines the factors that influence it using multivariate adaptive regression splines (MARS) methods. The MARS model selected in the study was formed based on a combination of base functions (BF) = 28, maximum interaction (MI) = 2, and minimum observation (MO) = 1, the model produced a minimum generalized cross-validation (GCV) of 0.1604912. There are 8 out of 14 significant influences based on the level of importance to the classification model of household food insecurity status in West Java province. The evaluation of the model conducted on the test data resulted in an accuracy value of 64.66% and an apparent error rate (APER) of 35.34%. Overall data generated an accuracy value of 64.9% with an APER of 35.1%. Press's Q Test statistics show the classification results are stable and statistically consistent at a real level of 5%.
Keyword: Klasifikasi, MARS, Peubah, Rawan Pangan, Rumah Tangga

Judul: Identifikasi Peubah yang Berpengaruh terhadap Kejadian Rawan  Pangan di Jawa Barat dengan Generalized Linear Mixed Model  LASSO
Abstrak: Kerawanan pangan adalah kondisi ketidakmampuan individu atau kelompok di suatu daerah untuk memperoleh pangan yang cukup dan layak untuk hidup sehat dan aktif. Pengentasan kerawanan pangan sejalan dengan tujuan pembangunan berkelanjutan, terutama tujuan kedua, tanpa kelaparan. Sehingga diperlukan kajian terkait kerawanan pangan seperti mengidentifikasi faktor-faktor yang berpengaruh terhadap kejadian rawan pangan. Penelitian ini bertujuan untuk mengidentifikasi variabel-variabel yang mempengaruhi kejadian kerawanan pangan di Jawa Barat. Dengan menggunakan data Survei Sosial Ekonomi Nasional Provinsi Jawa Barat Tahun 2020. Data tersebut memiliki tipe variabel respon kategorik dan diambil menggunakan teknik two-stage sampling sehingga dapat dianalisis menggunakan metode Generalized Linear Mixed Model LASSO. Analisis menggunakan paket glmmLasso dengan 10-fold cross-validation (CV) pada 20 nilai lambda (16 hingga 35). CV dilakukan untuk mengukur kebaikan model dan akurasi, sehingga diperoleh lambda terbaik untuk membangun model terbaik untuk diinterpretasikan. Variabel yang secara umum berpengaruh signifikan terhadap kerawanan pangan di Jawa Barat adalah variabel X14 yang menunjukkan jumlah anggota rumah tangga yang memiliki tabungan yang berpengaruh negatif terhadap kejadian rawan pangan di Jawa Barat dan variabel X19 yang menunjukkan kepemilikan penerima bantuan iuran BPJS kesehatan yang berpengaruh positif terhadap kejadian rawan pangan di Jawa Barat., Food insecurity is a condition of the inability of an individual or group in an area to obtain sufficient and appropriate food for a healthy and active life. The alleviation of food insecurity is in line with the Sustainable Development Goals, especially the second goal, zero hunger. This study aims to identify the variables that influence the incidence of food insecurity in West Java. By using data from the National Socio-Economic Survey of West Java Province in 2020. The data has a categorical type of response variable and is taken using a two-stage sampling technique so that it can be analyzed using the Generalized Linear Mixed Model LASSO method. Analysis using the glmmLasso package with 10-fold cross-validation (CV) at 20 lambda values (16 to 35). CV is done to measure the goodness of the model and accuracy, so that the best lambda is obtained to build the best model to be interpreted. The variables that generally have a significant effect on food insecurity in West Java are the X14 variable that shows the number of household members who have savings which have a negative impact and X19 variable that shows the ownership of PBI BPJS which have a positive impact.
Keyword: classification, food insecurity, GLMM LASSO, variable selection

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