Penerapan Data Mining dengan Algoritma Neural Network pada Sistem Informasi Prediksi Kasus Balita Gizi Buruk di Provinsi Nusa Tenggara Barat

One of the main objectives of national development is to improve the quality of human resources sustainably. This effort begins with a majors focus on the child's development from conception to adulthood. During this period of growth, the fulfillment of children's basic needs such as care and nutritious food to make them healthy, intelligent, and productive human resources. The case of malnutrition among toddlers and children is one of the priority issues handled by the government. Although from year to year there is a decrease in the number of children with malnutrition, the incidence rate in Indonesia is still high compared to other developing countries. Malnutrition is a condition caused by low consumption of energy and protein in daily food intake so that it does not meet the Nutritional Adequacy Rate (RDA). West Nusa Tenggara (NTB) is a province with high cases of malnutrition, namely 29.5% above the tolerance limit set by WHO, which is 20% of the total number of children under five. Data from the NTB Health Office states that in 2018 there were 217 cases of malnutrition spread across ten districts/cities. In this study, the authors researched the distribution and factors causing malnutrition in the West Nusa Tenggara (NTB) region. The data processed in this study comes from the website of the Central Bureau of Statistics (BPS) NTB which is processed using the Neural Network algorithm to produce predictive information on cases of malnutrition in the 2014-2017 period in NTB Province

Rancangan Sistem Pembelajaran Daring Berbasis Web

The current learning process at STMIK Swadharma Jakarta is still conventional, in other words, that the teaching and learning process between students and lecturers can only be carried out on the condition that a meeting between students and lecturers occurs in the class. If the meeting between students and lecturers does not occur, automatically the learning process cannot be carried out. In addition, the process of delivering knowledge is almost completely carried out in the classroom which causes the delivery of knowledge to be late if the meeting does not occur. This situation can clearly hamper the learning process at STMIK Swadharma Jakarta so that it can result in reduced student understanding of a subject matter. The research method used is field research with data collection techniques through observation and interviews. Research results In this e_learning application have 4 actors, namely Admin / BAAK, Lecturers, Students, and Leaders. Admin is responsible for managing and inputting master data such as user data, lecturer data, student data, andcourse data. In addition, the E_learning Admin / BAAK teaching and learningprocess also have an important role, namely in the process of inputting class data, course material data, and in the reporting process. Lecturers provide course materials, assignments, UTS, UAS, and also input grades. Students can download material files provided by the lecturer, do assignments, UTS, and UAS by uploading files. Meanwhile, the leader can access reports. The reports produced include: user reports, course reports, E_learning KBM reports