This article discusses the learning of Islamic Religious Education (PAI) in the digital era, the opportunities and challenges of MOOC through the Massive Open Online Course (MOOC) media associated with the concept of independent learning. The research method used a qualitative descriptive approach. Through the independent learning approach, learners explore knowledge and information independently and gain knowledge from learning experiences. The availability of course themes (course designs) that suit learners in the MOOC program greatly determines the success of increasing the quality of learning, especially regarding Islamic Religious Education (PAI) learning. Until now there has been no Islamic Religious College that has developed the MOOC on PAI which can be used collectively. The final result of this article is a research on the opportunities for developing adaptive MOOCs in Islamic higher education institutions, especially the PAI study program which is harmonized with the application of learning. Through the adaptive MOOC, it is hoped that the strengthening of PAI learning outcomes from the start in the form of materials can become characters and values through monitoring and assessment props using MOOC technology.
The study aims to determine the growth and production of two varieties of lettuce at various levels of shade by hydroponic methods. This research was done by using serie experiment by Randomized Block Design with 3 bloks. Treatment of varieties with 3 series groups on each shade treatment. The shade treatment consisted of four shaded treatment levels (N0), 50% Shade (N1), 60% Shade (N2), and 70% Shade (N3). every shade was tested 2 varieties of lettuce Romain Romain green varieties (V1) and Romain lettuce varieties Tiberius (V2). Parameters observed for plant height, number of leaves, leaf area, fresh weight of plant, and dry weight of plant. The results showed that shade levels increased plant height in 50% and 60% shade, but decreased leaf number, leaf area, wet weight, and dry weight as shade level increased. Tiberius varieties produce higher plant height, leaf number, and wet weight significantly higher than Green Romain varieties. Keywords :Lettuce, shades, varieties, hydroponic ABSTRAK Penelitian bertujuan untuk mengkaji pertumbuhan dan produksi dua varietas selada pada berbagai tingkat naungan dengan metode hidroponik. Penelitian ini dilakukan percobaan seri dengan Rancangan Acak Kelompok (RAK) dengan 3 kelompok. Perlakuan varietas dengan 3 kelompok seri pada setiap perlakuan naungan. Perlakuan naungan terdiri dari empat taraf perlakuan yaitu tanpa naungan (N0), Naungan 50% (N1), Naungan 60% (N2), dan Naungan 70% (N3). Pada setiap naungan dicobakan 2 varietas selada yaitu selada Romain varietas Green Romain (V1) dan selada Romain varietas Tiberius (V2). Parameter yang diamati tinggi tanaman, jumlah daun, luas daun, berat segar tanaman, dan berat kering tanaman. Hasil penelitian menunjukkan bahwa tingkat naungan menaikkan tinggi tanaman pada naungan 50% dan 60%, tetapi menurunkan jumlah daun, luas daun, berat basah, dan berat kering seiring dengan meningkatnya tingkat naungan. Varietas Tiberius menghasilkan tinggi tanaman, jumlah daun, dan berat basah lebih tinggi secara signifikan dibandingkan varietas Green Romain. Kata kunci : Selada, naungan, varietas, hidroponik
Background Leprosy incidence remained at around 200,000 new cases globally for the last decade. Current strategies to reduce the number of new patients include early detection and providing post-exposure prophylaxis (PEP) to at-risk populations. Because leprosy is distributed unevenly, it is crucial to identify high-risk clusters of leprosy cases for targeting interventions. Geographic Information Systems (GIS) methodology can be used to optimize leprosy control activities by identifying clustering of leprosy cases and determining optimal target populations for PEP. Methods The geolocations of leprosy cases registered from 2014 to 2018 in Pasuruan and Pamekasan (Indonesia) were collected and tested for spatial autocorrelation with the Moran’s I statistic. We did a hotspot analysis using the Heatmap tool of QGIS to identify clusters of leprosy cases in both areas. Fifteen cluster settings were compared, varying the heatmap radius (i.e., 500 m, 1000 m, 1500 m, 2000 m, or 2500 m) and the density of clustering (low, moderate, and high). For each cluster setting, we calculated the number of cases in clusters, the size of the cluster (km2), and the total population targeted for PEP under various strategies. Results The distribution of cases was more focused in Pasuruan (Moran’s I = 0.44) than in Pamekasan (0.27). The proportion of total cases within identified clusters increased with heatmap radius and ranged from 3% to almost 100% in both areas. The proportion of the population in clusters targeted for PEP decreased with heatmap radius from > 100% to 5% in high and from 88 to 3% in moderate and low density clusters. We have developed an example of a practical guideline to determine optimal cluster settings based on a given PEP strategy, distribution of cases, resources available, and proportion of population targeted for PEP. Conclusion Policy and operational decisions related to leprosy control programs can be guided by a hotspot analysis which aid in identifying high-risk clusters and estimating the number of people targeted for prophylactic interventions.
The purpose of this research was to determine growth and production responses of Pakcoy (Brassica chinensis L.) due to the treatment of various type of manure and to determine types of manure which effective for the growth and production of Pakcoy. This Research was conducted
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