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All Journal INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara
Ahmad Zein
STMIK Pelita Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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CLUSTERIZATION OF DIABETES HEALTH INDICATORS WITH K-MEANS CLUSTER ALGORITHM Yuda Perwira; Wira Apriani; Ahmad Zein; Sinta Lia Alfaris
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.224 KB)

Abstract

Diabetes is one of the most common chronic diseases in the world, affecting millions of people every year and placing a significant financial burden on the economy. Diabetes is a serious chronic disease in which individuals lose the ability to effectively regulate blood glucose levels, and it can lead to decreased quality of life and life expectancy.The purpose of this study is to cluster diabetes health to be able to cluster quickly whether a person has diabetes, or prediabetes or is free from diabetes so that diabetes can be anticipated as early as possible. The data used in this study is the result of a survey from the US Behavioral Risk Factor Surveillance System (BRFSS) in 2015 which contains a net data collection of 253,680 survey responses to the CDC's 2015 BRFSS. The target variable Diabetes_012 has 3 classes. 0 for no diabetes or only during pregnancy, 1 for prediabetes, and 2 for diabetes.The method used in this study is the K-Means Clustering method where this method has been quite successful and is widely used by many researchers to cluster and predict, indicators of a person's diabetes health can be grouped into 3 groups, namely the health of people without diabetes, the health of people with prediabetes. and the health of people with type 2 diabetes, as for the results of the clustering of 2349 data, there are 235 people with health without diabetes, 1816 people with prediabetes health conditions and 298 people with type 2 diabetes.
Perancangan Cinematic Video Sebagai Media Promosi Kampus Ii Stmik Pelita Nusantara Lubuk Pakam Risa kartika Lubis; Ahmad Zein; Indira Salsabiela
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 3 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i3.1194

Abstract

The background for making cinematic videos as a campus promotional medium is the digital marketing trend during the new normal era. Pelita Nusantara Campus II helps all children of the nation, especially North Sumatran children who wish to study at High Schools to obtain Strata (S1) and Diploma (D3) education certificates. Therefore, the design of promotional media in the form of videos is made because it is effective and displays attractive visual effects with the aim of promoting it again. Pelita Nusantara Campus II. Using a cinematic concept because it can display interesting visual effects and is judged according to campus conditions. packaged through narrative. Video design is carried out using primary data such as observation, interviews and conducting pre-design and post-design surveys. During the project editing process, it is carried out using the Adobe Primary 2020 application. Using the AIDA method (Attention, Interest, Desire, and Action) as a reference, advertising effectiveness needs to meet AIDA elements. The results of this cinematic video will be published on social media such as Facebook, Instagram and YouTube.
Co-Authors Indira Salsabiela Risa Kartika Lubis Sinta Lia Alfaris Wira Apriani Yuda Perwira