Based on data of dairy milk cow in Animal Farms of Boyolali  District, only shows the total amount of dairy milk cow in Boyolali  District. So that Animal Farms of Boyolali  District does not know which areas produce dairy milk cows with large numbers or small. Therefore, an algorithm is needed to facilitate the grouping of potentially dairy milk cow based on milk production data (liter), number of female dairy cows (how many), number of owners and year of production. In this research, using the K-Means algorithm is used to the grouping of potential dairy milk cow producing areas. By using K-Means aims in facilitating the classification of an area that has the greatest potential dairy milk cows, medium and small. The result is an illustration that shows the regional grouping based on dairy milk cow yields, which are 13 districts that have a potency of dairy milk cow (cluster1), 28 districts that have medium potency dairy cows producing (cluster2), and 28 districts less potential dairy milk cows (cluster3). For further research could be carried out the excavation process variation data variables that clustering results produced can be maximized.Keywords: K-Means algorithm, clustering, data mining, dairy milk cows

The penetration of Indonesian internet users in first quarter of 2020 has increased by 17 percent compared to 2019. Based on Google Consumer Barometer in 2018, many 79% of Internet users in Indonesia use the internet on a daily basis. During the Covid-19 Pandemic, universities had to do Study From Home and Work From Home. This resulted, use of information technology and computers also increasing. This increase will have an impact on the level of cybercrime vulnerability. The scale of cyber vulnerability is needed to measure level of cybersecurity in universities, especially in data managers. There are five scales, Very Safe, Safe, Vulnerable, Very Vulnerable, and Dangerous. Where the scale is used in negative and positive statements. The measurement results show an average value of 3.3 or a vulnerable scale. Total average value of negative statements is 2.53 or scale close to vulnerability. So it is necessary to socialize the importance of cybersecurity to minimize occurrence of cybercrime.

In the Public Health Center, the handling of patients of the Emergency Unit is classified as not much happening because now many hospitals are ready to handle all forms of patient complaints. At the Public Health Center, the handling of patients in the Emergency Unit occurs only for mild illness and with outpatient treatment. To decide the condition of the patient should be treated in the room or should be referred to what hospital, the Center for Public Health has not been able to determine it so that for regular referrals addressed directly to a fully equipped hospital. The number of hospital types and the poor condition of the patient makes the decision making must be clear and appropriate to the actual patient condition. To overcome these problems, the authors make an application decision system with FMADM SAW method to determine where the patient should be handled further, surgery, ICU, road or hospitalization, a referral must be in accordance with the condition of the patient. The method used in the form of data analysis methods in the form of data collection techniques, data types, and system design. This application also has advantages in making report analysis results that can be done quickly and easily. To facilitate the implementation of the system, the authors limit the problem only on the problem of determining the purpose of treatment alone. The system that the author designed the decision-making system with FMADM SAW method. The result of analysis and design in the form of decision support system of patient handling of new Emergency Unit with computer-based and application of FMADM SAW method. The tested system will produce patient data information and result of decision support process of patient handling. From another process is given a form of separate data collection process according to the needs of the process of supporting patient handling decisions and considered feasible if the process is stored completely. It is hoped that this system can assist the Public Health Center admin in dealing with Emergency Room patients.Keywords: Decision Support System, Emergency Room, FMADM (SAW), Public Health Center

The Sleep disorder sometimes happens to someone unconsciously. Many health worker need a lot of time to detect the cause of sleep disorder, it is because there are some similar type of sleep disorder. The public health center in Karangmalang Sragen is needed a system to help the health workers to analyze the cause of sleep disorders. The aim of this research is to make a system to analyze the cause of sleep disorder by using the Naïve Bayes method. This research is conducted on Integrated Healthcare Center especially for the elderly in kedungwaduk. This research chooses the Naïve Bayes method to analyzing the type of sleep disorder experiences happen by the patient. The types of sleep disorders that used in this study were insomnia, hypersomnia, narcolepsy, sleep terror, disturbed sleep schedules and nightmares. The result in this study is patients can get solution about their sleep disorder, and also it can reduce the bad effect for the patient. The validation result of the Naïve Bayes method showed that 80% data was accuracy and it will be compared between 10 data from diagnostic test and 30 testing data.Keywords : Sleep disturbance, diagnosis, naïve bayes

Pemasaran merupakan salah satu kunci utama sebuah perusahaan dalam mengenalkan produknya. Di era transformasi teknologi informasi ini menuntut perusahaan bergerak cepat mengikuti perkembangan teknologi informasi. Khususnya dibidang pemasaran. CV Putra Nugraha merupakan salah satu perusahaan yang bergerak dibidang percetakan buku maupun majalah dalam skala kecil sampai besar. Perusahaan tersebut telah memiliki official website sebagai sarana untuk mengenalkan produknya ke konsumen. Hanya saja era saat ini perkembangan teknologi web mulai bergeser ke teknologi mobile. Beberapa aktifitas informasi katalog, pemesanan dan lainnya lebih mudah diakses dengan perangkat mobile. Sehingga perlu adanya tambahan teknologi alternatif untuk mendukung official website. Teknologi ini berupa aplikasi mobile berbasis Android. Dalam pembuatan aplikasi mobile berbasis Android ini dilaksanakan dengan tiga tahapan, yaitu: pengambilan data, perancangan, dan sosialisasi serta implementasi. Hasil akhir yang diperoleh adalah terbentuknya aplikasi Android yang dapat diakses lewat Google Playstore. Selain itu juga meningkatkan promosi produk dari CV Putra Nugraha. Dimana dengan naiknya promosi produk akan dapat meningkatkan jumlah pendapatan dari CV Putra Nugraha.