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All Journal Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Muhammad Ridwan Lubis
AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Penerapan Metode ELECTRE Dalam Pemilihan Masker Wajah Terbaik Untuk Berbagai Jenis Kulit Lola Alfiza; Muhammad Ridwan Lubis; Ilham Syahputra Saragih
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.50

Abstract

The research aims to make the Decision Support System the best means of choosing masks with various types of facial skin especially Indonesian women, then recommending which masks are best to use. This problem can be ranked in the study. The method used in this research is the Electre method on the Decision Support System. Sources of research data obtained by interview and observation by giving a set of questions or statements to the customer used as respondents to be answered. The selection of face masks is used with several criteria including: (K1) oily skin, (K2) acne prone skin, (K3) dull skin, (K4) normal skin. And has sub criteria: color (c1), Texture (c2), Aroma (c3), Price (c4). The results of the research using the Electre method are expected to make it easier to determine the ranking of data winners from each alternative by the assessment process and facilitate system implementation.
Penerapan Algoritma K-Means Dalam Pengelompokan Penerimaan Imunisasi Dasar Lengkap Menurut Provinsi Rico Hermanto Manurung; Muhammad Ridwan Lubis; S Saifullah
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i1.54

Abstract

Immunization is a form of immune system or immune to disease. The process of giving immunizations gives the body immunity to be immune to disease. With routine immunization improves the quality of children's health. According to data from the official Government website, the lowest percentage of children aged from 12 to 23 months who received immunization is 40% at the provincial level in Indonesia. This research was conducted by grouping the minimum level of immunization from 2015 to 2018 using the K-means method. The data obtained are grouped into 2 Clusters starting from the lowest and highest. The author obtains data from the official website of Government which addresses https://bps.go.id. The conclusion of this study concludes that there is still a lack of child immunization in Indonesia, so that there is an expectation that the Government in every region in Indonesia be more active for the welfare of children's health.
Implementasi Metode K-Medoids Clustering Dalam Pengelompokan Data Penyakit Alergi Pada Anak Haryati Ningrum; Eka Irawan; Muhammad Ridwan Lubis
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.277

Abstract

Allergies are an abnormal response from the immune system. People who experience allergies have an immune system that reacts to a substance that is usually harmless in the environment. There are two limitations in this study, namely, seafood allergy and air allergy. In this study, the data used were sourced from the National Statistics Agency in 2011-2019. This study uses data mining techniques in data processing with the k-medoids clustering method. The k-medoids method is a clustering method that functions to split the dataset into several groups. The advantages of this method are able to overcome the weaknesses of the k-means method which is sensitive to outliers. Another advantage of this method is that the results of the clustering process do not depend on the order in which the dataset is entered. This method can be applied to data on the percentage of children affected by allergies by province, so that it can be seen the grouping of provinces based on this data. From this grouping data obtained 3 clusters namely low cluster (2 provinces), medium cluster (30 provinces) and high cluster (2 provinces) from the percentage of allergy immunization under five in each province. It is hoped that this research can provide information to the health department, especially the public health center regarding data grouping of Allergic Diseases in children in Indonesia which has an impact on equity in giving anti-allergic immunization to children in Indonesia
Co-Authors Eka Irawan Haryati Ningrum Ilham Syahputra Saragih Lola Alfiza Rico Hermanto Manurung S Saifullah