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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.
IMPLEMENTASI METODE SMART DALAM PEMILIHAN ALAT KONTRASEPSI PADA PASANGAN USIA SUBUR STUDI KASUS : PUSKESMAS KOTA DATAR Rahmawati, Rahmawati; Syari, Milli Alfhi; Saragih, Rusmin
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.v3i1.166

Abstract

This research implements the SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) Method in the selection of contraceptives for couples of reproductive age at the Kota Datar Health Center. The aim is to assist couples in making informed decisions by ensuring that their contraceptive choices are specific, measurable, achievable, relevant, and time-bound. The study's findings are expected to help couples make smarter decisions regarding contraceptive methods that suit their needs.
EXPERT SYSTEM TO DIAGNOSE STUNTING DISEASE IN TODDLERS USING CERTAINTY FACTOR METHOD Gea, Fide Evianti; Saragih, Rusmin; Ramadani, Suci
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.v3i1.168

Abstract

Stunting is a condition of failure to grow in children under five (infants under 5 years) as a result of chronic malnutrition is so necessary monitoring and assessment of nutritional status and growth of children according to the standards. Malnutrition occurs from infancy or in the womb in the early days after the baby is born, however, the condition of stunting only appears after the baby is 2 years old. According to the decree of the Minister of Health No. 1995/MENKES/SK/XII / 2010 on anthropometric standards for assessing the nutritional Status of children needs to be adjusted to the development and needs of community nutrition improvement programs. To overcome the problem of stunting status in children, it is necessary a system that can diagnose stunting disease based on symptoms felt in toddlers from an early age and can be done prevention and handling of child growth and development and can provide information to many parents at the time of counseling and guidance from health workers in posyandu activities. Based on the calculation of CF, the highest value is in stunting disease in toddlers with a value of 0.9428 or 94.28%. From the results obtained, the system identifies that the toddler is suffering from the type of anemia.
Co-Authors , Eka Putra Abdul Azan Abdul Azan Abdullah Hamid, Abdullah Abdullah Husein Achmad Fauzi ACHMAD FAUZI Alfina Damayanti Ambarita, Indah Andini Andini Andre Adrian Andrean Samuel Siahaan Aprilianda, Dinda Arianta Bangun Arnes Sembiring Asih, Munjiat Setiani Barany Fachri Boyke Gunawan Manurung Br Sitepu, Dinda Isabella Buaton, Relita Chairul Rizal Charles Jhony Mantho Sianturi, Charles Jhony Mantho Cindy Primadona Siahaan Damayanti, Fera Dandi Satria R Deni Apriadi Dewantara, Nowell Dimas Prayogi Dinda Firdawati Simamora Divi Handoko Eka Pandu Cynthia Eka, Muhammad Fany Juliawati Fatimah Fatmaira, Zira Fauzi, Achmad frans ikorasaki Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gea, Fide Evianti Ginting, Darmawan Gultom, Imeldawaty Handoko, Divi Herdiansyah Harahap Herdiansyah Harahap Hesty Vitara I Gusti Prahmana Ikhsan Arif Indra Prasetia, Indra Irfan Yusuf Ismi Asmita Jesayas Sembiring Khair, Husnul Khalidy, Furqan Lestari, Yuyun Dwi Lili Musarofah Lili Musarofah Loo, Petrus Magdalena Simanjuntak Magdalena Simanjuntak Magdalena Simanjuntak Mardiah Marto Sihombing Marto Sihombing Meisaroh Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Mili Alfhi Syari Muhammad Danil Syahputra Muhammad Danil Syahputra Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Reza Habibi Muhammad Zen, Muhammad Munadi Munadi Nadia Nurhafiza Nasril Hidayat Nico Kurniawan Purba Nikous Soter Sihombing Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurlaila Nurlaila Nurlaila Nurlaila Nuryahati - Pakpahan, emma martina Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rafli Fitriawan Rahayu Utami Rahmadani Rahmadani Rahmawati Rahmawati, Rahmawati Raihan, Muhammad Ramadani, Suci Ramli Ramli Ramos Parulian Ambarita Ratih Puspadini Rianty Zabitha Siregar Ricky Ramadhan Harahap Rizki Kurniawan Ryan Hidayat Sari Suwandi, Ema Saripurna, Darjat Satria R, Dandi SELVY ANGGRAINI, SELVY Sihombing, Anton Sihombing, Marto Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sirait, Win Gomgom Parsaulian Siswan Syahputra Sitepu, Ruine Buana Br SITORUS, ERBIN Sonadi Perangin Angin Suci Pratiwi, Kiki Supiyandi Supiyandi Syahputra, Siswan Syari, Milli Alfhi Tantia Azzahra Tata Mustika Dewi tata, tatamustikadewi Theodora MV Nainggolan Ulandari, Seri Wati, Sri Kesuma Yani Maulita Yekolya Anatesya Yessi Fitri Annisah Lubis Yulia Ningsih Yusuf Afani Yuyun Dwi Lestari