Lack of knowledge of the elderly in maintaining health in facing old age causes many health problems in the elderly. The goal to be achieved in mentoring is that the elderly in the Posyandu Lansia (Integrated Healthcare Center for the Elderly) of the Kauman village of Yogyakarta can improve their health knowledge of the elderly as an effort to live healthily, so as to increase the life expectancy of the healthy and productive elderly people. The end of the mentoring is expected that all elderly participants can find out what is happening to the health of the elderly as an effort to live a healthy life. The material presented in this activity includes knowledge about healthy elderly people, diseases and risk factors that occur in the elderly, as well as nutrition and healthy food for the elderly by using case study methods, consultation for healthy living, and the practice of maintaining physical health. Other activities carried out in increasing knowledge in realizing healthy elderly people are by increasing awareness of the elderly to carry out health checks including blood pressure, blood sugar levels, uric acid, and cholesterol and elderly exercise. The results obtained are knowledge and skills for healthy and productive living procedures for the elderly.
Sistem online memanfaatkan website sebagai media pemasaran. Namun dengan perkembangan teknologi, pemasaran dilakukan dengan online terdapat kendala yaitu banyaknya produk yang tersedia dalam pemilihan produk. Sistem rekomendasi adalah sistem yang menyarankan informasi berguna atau menduga yang akan dilakukan user untuk mencapai tujuannya, seperti mencari teknik yang terbaik dalam memberikan rekomendasi bagi user. Menurut hasil survey yang telah dilakukan terhadap 17 orang pemakai website pemasaran produk Gadget Shield didapatkan 88,20% mengharapkan adanya penilaian user terhadap produk. Penelitian ini akan melakukan pengembangan sistem rekomendasi produk Gadget Shield pada toko Jackskins menggunakan metode User-Based Collaborative Filtering serta menggunakan Euclidean Distance untuk mengukur jarak kemiripan antar User dan Weighted Sum digunakan untuk mencari rekomendasi produk. Diharapkan dengan adanya sistem dapat memudahkan User dalam pencarian produk Gadget Shield terbaik. Guna menghasilkan produk rekomendasi,hasil nilai kemiripaan dilakukan perhitungan dengan algoritma Weighted Sum. Sistem rekomendasi Collaborative Filtering telah diuji menggunakan metode pengujian akurasi Root Mean Square Error (RMSE) dan pengujian User Acceptance Test (UAT). Hasil uji RMSE menunjukkan nilai 0,496 atau akurasinya 90,08%. Hasil pengujian UAT didapatkan 86,86% diterima. Informasi dari proses tersebutlah yang nantinya diharapkan akan bermanfaat sebagai dasar sumber rekomendasi yang akurat.
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