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Abstract-As people become older, people generally will experience a health decline such as becomes weak, susceptible to disease, decreased vision ability, etc. Therefore, special health attention is needed for the elderly people, especially from the family member or personal doctors / nurses. On the other hand, the number of elderly people in the world is rapidly increase so there's more people will need special attention. Therefore, this research try to develop an application on mobile phone that could help elderly people and their family member to supervise and monitor the health of the elderly. This application has feature to monitor the location of the elderly, remainder to take the medication, doctor appointment remainder, medical record records, emergency phone to family number or personal doctor, etc. From the experimental results of the application to the participant and the test with the questionnaire on the prospective users, 94% of respondents feel the application is very useful and can run well as needed.

PT. XYZ merupakan sebuah perusahaan yang memprioritaskan customer lama. Namun dalam pelaksanaannya, PT. XYZ belum memiliki manajemen marketing yang menunjang loyalitas customer, terutama yang menggunakan media eletronik. Hal ini bisa terlihat saat perusahaan mengadakan kegiatan. Proses pemilihan customer yang menjadi peserta masih dilakukan secara manual. Selain itu, belum ada sistem yang menangani keluhan dari customer dan penawaran produk yang diberikan kepada customer lama pun belum tersistem secara jelas, hanya berdasarkan pengetahuan dan pengalaman sales force saja. Padahal, saat ini teknologi sudah sangat berkembang dan memungkinkan hal-hal ini untuk menjadi tersistem sehingga dapat meningkatkan loyalitas customer. Hasil yang diperoleh adalah penerapan Customer Relationship Management (CRM) khususnya yang menggunakan media elektronik (e-CRM) dalam strategi marketing untuk meningkatkan loyalitas customer maupun mendapatkan customer baru.

Lack of blood will be fatal for the human body. Current technology has not been able to produce human blood, therefore blood donors from other people are needed. Because of this need, the Red Cross organized blood donation activities to obtain blood supplies. Blood donation is given by people voluntarily, therefore it is difficult to predict how much blood supply will be obtained in an organized blood donation activity. A system is needed to predict the number of potential donors so that the supply is sufficient. This study will classify potential blood donors and predict the number of blood donors who have the possibility to attend a blood donation activity held certain location at a certain time by using a support vector machine. With this prediction, the Red Cross can predict in advance how many bags of blood can be obtained before carrying out blood donation activities at a certain location at a certain time. In this way, the Red Cross will be able to find the right place and date to obtain maximum blood donation. The dataset used is data on blood donations carried out by donors at the Indonesian Red Cross in 2015 -2019 with a total data of 53708 donors. From this study, it was found that the application made was able to classify potential donors and predict donors who could be present to give donors at a certain location and at a certain time with an F1 Score of 85%.