Diabetes is one of the most common health problems in the world. Diabetes is also known as “the silent killer” because according to WHO (2016) diabetes increased from 108 million in 1980 to about 422 million adults had diabetes in 2014. If not handled properly, diabetes can become chronic and damage other organs and can cause death. This disease has several symptoms in the patient but evaluating the different factors or symptom variables required to determine which variables are more dominant. This research aims to establish the most influential variable of the many variables causing diabetes mess. We suggest using a data mining decision tree (C4.5) in this paper to forecast diabetes to help doctors analyse the disease sooner. Data mining has carried out various approaches to predict a disease, one of them is the use of c4.5. In this research, produce a decision tree and the result shown that polydipsia play a role in diabetes with accuracy 90.38 %. One of the most dominant signs of diabetics is the sign of polydipsia.
The involvement of lecturers, students, and teaching staff is an integral form of the Tri Dharma of higher education. Education has a crucial role and is the primary key to producing quality human resources. In the current practice of teaching and learning activities, many teachers have not used media or technology in teaching. Therefore, it is necessary to increase teacher competence through Community Service Activities to adapt to the industrial era 4.0, which is more likely to use technology in various fields of life, one of which is the world of education. PKM activities were carried out for six villages in Sembalun District to equalize the competence of teachers in the village so that they were equal to teachers in the city in presenting technology-based learning media. This interactive learning media creation training produced enjoyable visual and graphic-based learning to become more exciting and not dull. With the implementation of this activity, teachers have more competence in using technology and have succeeded in building their learning media. Apart from that, the creativity of the teacher increases with this activity.
Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers
Wirdul jalil is a collection of prayers and dhikr compiled by TGH. Afifudin Adnan is a student of Mawlanasysyaikh Tuan Guru Kyai Hajji Muhammad Zainuddin Abdul Madjid and also the founder of the Al Mukhtariyah Al Islamiyah Foundation. Wirdul jalil has become compulsory reading for congregations and students of the Al Mukhtariah Al Islamiyah Foundation and almost every year, the Al Mukhtariyah Al Islamiyah Islamic boarding school prints wirdul jalil. Then it was distributed to students and the congregation of Al Mukhtariyah Al Islmiyah to replace wirdul that had been damaged by age or lost. With the above problems, the author intends to design and build a mobile application that can produce jam'ah and students of the Al Mukhtariah Al Islamiyah Foundation in getting wirdul jalil without having to print it first, with this application congregations and students of the Al Mukhtariah Al Foundation Islamiyah can install it on a mobile device. That way, the congregation and students can read Wirdul Jalil practically on their mobile devices, and in the end the application can be used further
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