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Sekretariat KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) Jln. Jendral Sudirman Blok A No. 1/2/3 Kota Pematang Siantar, Sumatera Utara 21127
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Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : -     EISSN : 2720992X     DOI : 10.30645
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan sistem informasi. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) terbit 4 (empat) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol 2, No 2 (2021): Edisi April" : 6 Documents clear
Pengelompokan Jumlah Kasus Penyakit Aids Berdasarkan Provinsi Menggunakan Metode K-Means Rut Indra Lita Sinaga; Widodo Saputra; Hendry Qurniawan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.64

Abstract

Acquired Immune Deficiency Syndrome (AIDS) is a collection of symptoms due to a gradual decline in the immune system caused by infection with the Human Immunodeficiency Virus (HIV). This disease is a dangerous disease and should be watched out for where it spreads very quickly. AIDS is one of the top infectious diseases that can cause death. K-Means is an algorithm in data mining that can be used to group / cluster data. There are many approaches to creating clusters, one of which is to create rules that dictate membership in the same group based on the level of equality among its members. The purpose of this study was to classify the number of AIDS cases by province. To solve the existing problems, the authors will use the K-Means cluster method using 2 clusters to determine the province which has the highest cases of AIDS and the province with the lowest cases of AIDS by calculating the centroid / average of the data in the cluster. It is especially recommended that the government take advantage of the results of this research to pay more attention and make efforts in overcoming AIDS in provinces with high AIDS disease.
Teknik Data Mining Dalam Prediksi Jumlah Siswa Baru Dengan Algoritma Naive Bayes Aston Maruli Sitompul; S Suhada; S Saifulah
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.65

Abstract

Sukosari Public Elementary School 095126 is an elementary school located in Gunung Malela sub district, Simalungun Regency. Prediction is an important tool in planning effective and efficient, especially in the field of education. In the modern world knowing the situation to come is not only important to see the good or bad but also aims to make forecast preparation. An important step after a prediction has been made is to verify the prediction in such a way that it reflects past data and the underlying system that underlies the request. As long as the prediction representation can be trusted, the predicted results can continue to be used. Schools are formal educational institutions that systematically carry out guidance, teaching, and training programs in order to help students to be able to develop their potential both in terms of moral, spiritual, intellectual, emotional and social aspects. The inference method used is the Naive Bayes method, the system will input student data such as the criteria needed for admission of new students at SD N 095126 Sukasari by collecting data on Indonesia Smart Cards (KIP), BPJS cards, Parent income, these data will be grouped and obtained from the past period is processed into the system and training process with the Rapid Miner application.
Implementasi Data Mining Clustering Tingkat Kepuasan Konsumen Terhadap Pelayanan Go-Jek Sinta Maria Sinaga; Jaya Tata Hardinata; M. Fauzan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.66

Abstract

Increasingly high demands for mobility in today's society, activities are also increasingly crowded, especially parents, employees, and even students so it is increasingly difficult to find free time to meet the needs of daily life. So that people need something that can answer and be a solution to the complaint without having to drain time and energy with results that do not disappoint. Gojek is a solution to the complaints of people who do not have much free time and want to relax while waiting for their needs to be met, Gojek is an online application that can be downloaded via a smartphone, has more than six services provided therein but the author only takes some of the services to be standard the level of community satisfaction with Gojek services. The purpose of this study was to determine the level of community satisfaction with Gojek services. One method contained in Data Mining used in this study is the Clustering method. To find out the level of community satisfaction done with interviews / questionnaires 120 people in the city of Pematangsiantar. The benefits are to make it easier for Gojek companies to know how the quality of services provided to the community is based on the level of community satisfaction and improve the quality of services provided to the community.
Sistem Pendukung Keputusan Pemilihan Rumah Sakit Terbaik Di Kota Pematangsiantar Dengan Menggunakan Metode TOPSIS Sanri Sunervia Yunika Damanik; S Saifullah; Riki Winanjaya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.62

Abstract

A hospital is a place where health services are provided by doctors, nurses and other health professionals. Health is the most important thing that every human wants to survive in doing all activities. The importance of this health encourages the government and the private sector to build quality hospitals so that people can access health needs. However, it is not only quality that is desired by the community, but satisfaction in providing fast services, supporting facilities and hygiene and safety are needed by the community so that the healing process feels happy and safe. To find out which hospital has the provision of health services desired by the community, a decision support system is needed. Decision support system is a system that can be used as a tool assist in the selection of hospitals that are in charge based on criteria desired by the community. The method used by researchers is the Topsis method. This method was chosen because it is able to select alternatives from several alternatives based on predetermined criteria. The results of this study are an average value of each alternative and criteria that will be ranked as the best hospital in Pematangsiantar. Based on the results of these tests can be a foundation that can help the community in choosing the provision of hospital services for the healing process.
Implementasi Data Mining Dalam Mengelompokkan Jumlah Penduduk Miskin Berdasarkan Provinsi Menggunakan Algoritma K-Means Yuni Radana Sembiring; S Saifullah; Riki Winanjaya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.67

Abstract

Poverty is a certain condition that is below the standard line of minimum needs, good for food and non-food. Poor households generally have a greater average number of members compared to households that only have members who have fewer members. This situation is followed by the low level of education of household heads and workers who generally only work in the agricultural sector. Factors such as education, labor, health, fertility, housing, and the environment are a picture of the level of people’s welfare which is tought to affect the amount of proverty. This study used data sourced from the Central Bureau of statistics the year 2007-2019. The method used is Datamining the K-Means Clustering, Clustering is a method used in datamining the how it works find and classify data that has a semblance and characteristics of data between one another with the data. Using this algorithm the data already obtained can be grouped into Clusters based on this data. This data can be entered to the local Government to recommend to the Government so that the Government can handle the number of poor people in this country.
Penerapan Algoritma C4.5 Data Mining Dalam Mengukur Tingkat Kepuasaan Masyarakat Kecamatan Siantar Terhadap Perbaikan Jalan 2019 Riama Ester Angelina Sihombing; Jaya Tata Hardinata; Zulaini Masruro Nasution
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 2 (2021): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i2.63

Abstract

Roads are land transportation infrastructures that are used every day by humans both on the surface of the land, below the surface of the land or above the surface of the water. This means that the road is a very important supporting factor in carrying out daily human life, both roads in village and roads in the city. But not all people of Kabupaten Simalungun , especially Kec. Siantar feel that their roads are worth using, but not a few also feel happy that their roads are being repaired. For this reason, the writer would like to know the level of satisfaction of the people of Kabupaten Simalungun, especially Kec. Siantar towards road improvement in their respective areas that has been carried out by the Dinas Pekerjaan Umum Kabupaten Simalungun. The method that I use is the C4.5 algorithm, also called a decision tree, which uses a tree structure representation, the concept of this decision tree is to collect data, then a decision tree is created which will then produce rules for problem solutions, so that this method can know effectively the level of community satisfaction specifically Kabupaten Simalungun.

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