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Journal : Journal of Mathematics and Technology (MATECH)

CLASSIFICATION OF HOUSEHOLD VIOLENCE (KDRT) CASES BASED ON CAUSING FACTORS USING CLUSTERING METHOD Aprilianda, Dinda; Saragih, Rusmin; Saripurna, Darjat
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.146

Abstract

Domestic violence is a violation of human rights and a crime against human dignity and is a form of discrimination. Therefore, no matter how small the violence committed can be reported as a criminal act that can be processed by law. The Office of Women's Empowerment, Child Protection, Population Control and Family Planning has the task of solving problems that often occur in cases of domestic violence (KDRT) against someone, especially women, which results in physical, sexual, psychological, and/or misery or suffering. household neglect including threats to commit acts, coercion, or unlawful deprivation of liberty within the household sphere. therefore it is necessary to have an application that can process this data based on age, type of violence and causal factors to be used as information specifically about cases of domestic violence so that it is easier for the community to understand later. This was created to overcome the problem of extracting important information from a data set of domestic violence cases based on the causative factors at the agency using the k-means clustering method which will be built later. From the results of research conducted using a sample of 20 data, it can be concluded that the most common data are in cluster 2 with data on cases of domestic violence (KDRT) based on many causal factors with a total of 7 data and located in the age group (X ) is aged 17-25 years, and for the type of violence group (Y) that is carried out is Abuse and the causal factors (Z) which mostly occur due to External Factors / Divorce.
APPLICATION OF FUZZY SUGENO METHOD FOR NUTRITION MANAGEMENT IN PATIENTS WITH DIABETES MELLITUS BASED ON WEBSITE Alfinaty, Nurma; Maulita, Yani; Saripurna, Darjat
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.170

Abstract

People's lifestyles have changed, this change is more or less influenced by the increase in people's welfare levels, which in fact has changed the type of food intake favored by the community (Sahi, 2020). Some people, especially urban people who are busy working, rarely cook themselves to meet the family's daily food needs, instead they rely on their food menu from buying ready-to-eat food from stalls or restaurants in large numbers. From habits like this people tend to choose janis food that offers the power of taste derived from fatty foods, chemical cooking spices from the factory, how to cook fried or grilled and provided a variety of flavors of chili sauce also with chemical spices factory with a variety of flavors. Diabetes Mellitus is a non-communicable disease caused by the pancreas does not produce enough insulin or the body can not process insulin that has been produced effectively. To reduce the risk of complications, blood sugar levels in patients with some of the families in the community even rarely consume vegetables, so many of their children no longer want to eat vegetables because they are not accustomed to eating vegetables in their families, which is actually a very beneficial vegetable for the body. From that background and to help patients with diabetes mellitus, the author wants to design a system or application that can control the food to be eaten, namely by choosing foods that are suitable for patients with the disease. The selection of these foods, will be assessed in accordance with the nutrients contained in the food to be consumed.