PENCEGAHAN COVID-19 MELALUI PENGGUNAAN HERBAL OLEH MASYARAKAT KELURAHAN MARIANA, KECAMATAN BANYUASIN 1, SUMATERA SELATAN: STUDI KUALITATIF

Peningkatan kasus positif pada pandemi COVID-19 menjadi perhatian khusus dunia farmakologi di Indonesia. Kelimpahan sumber daya alam dalam bentuk sediaan herbal menjadi salah satu keuntungan yang dimiliki Indonesia. Namun, pemanfaatannya sebagai salah satu langkah pencegahan pada pandemi COVID-19 masih belum optimal. Pemahaman masyarakat terkait dengan pemanfaatan sediaan herbal perlu dievaluasi untuk mengetahui pemahaman penggunaan herbal sejak dini. Pada penelitian ini dilakukan studi kualitatif penggunaan herbal untuk pencegahan COVID-19 khususnya di wilayah Mariana, kecamatan Banyuasin 1, Sumatera Selatan. Dilakukan observasi tanggapan masyarakat terkait penggunaan herbal, dipilih 10 responden yang memenuhi kriteria dan dilakukan wawancara secara ordinal. Hasil penelitian menunjukkan bahwa sebagian besar masyarakat pada wilayah pengamatan telah memahami dan menerapkan penggunaan herbal sebagai langkah preventif dalam menangani COVID-19. Sebagian besar digunakan jenis herbal yaitu jahe, jeruk nipis, sambiloto, meniran, lemon, sereh, kayu manis, temulawak, kunyit, kencur, daun pandan, dan biji jintan. Upaya penggunaan herbal dinilai oleh masyarakat di wilayah pengamatan cukup efektif dalam mencegah penularan COVID-19 karena memberikan efek lebih segar untuk beraktifitas sehari-hari dan meningkatkan imunitas tubuh, serta menambah stamina untuk bekerja

THE EFFECT OF PRODUCT MIX AND COMPANY IMAGE ON PURCHASE DECISIONS ON E-COMMERCE SHOPEE

This study aims to determine the effect of product mix and company image on purchasing decisions at Shopee e-commerce. The research method used is descriptive and verification methods with a total sample of 95 respondents. The results showed that there was a positive and significant influence between product mix and company image on purchasing decisions. The amount of influence of product mix and company image on purchasing decisions simultaneously is 70.6%, and the remaining 29.4% is influenced by other variables not examined. Partially, the effect of product mix on purchasing decisions is 54.3%, and the influence of company image on purchasing decisions is 16.3%, so it can be concluded that product mix has the greatest influence on purchasing decisions

Deep Learning Dataset for Estimating Burned Areas: Case Study, Indonesia

Wildland fire is one of the most causes of deforestation, and it has an important impact on atmospheric emissions, notably CO2. It occurs almost every year in Indonesia, especially during the dry season. Therefore, it is necessary to identify the burned areas from remote sensing images to establish the zoning map of areas prone to wildland fires. Many methods have been developed for mapping burned areas from low-resolution to medium-resolution satellite images. One of the popular approaches for mapping tasks is a deep learning approach using U-Net architecture. However, it needs a large amount of representative training data to develop the model. In this paper, we present a new dataset of burned areas in Indonesia for training or evaluating the U-Net model. We delineate burned areas manually by visual interpretation on Landsat-8 satellite images. The dataset is collected from some regions in Indonesia, and it consists of 227 images with a size of 512 × 512 pixels. It contains one or more burned scars or only the background and its labeled masks. The dataset can be used to train and evaluate the deep learning model for image detection, segmentation, and classification tasks related to burned area mapping