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All Journal Jurnal Mantik Penusa ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer Science and Informatics Engineering International Journal of Health, Engineering and Technology
Budi Serasi Ginting
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Penerapan Data Mining Pengelompokan Data Pengguna Air Bersih Berdasarkan Keluhannya Menggunakan Metode Clustering Pada PDAM Langkat Karin Annisa; Budi Serasi Ginting; Mili Alfhi Syari
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 6, No 1 (2022): April 2022
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v6i1.11624

Abstract

Customer problems are indeed very complex, therefore they must be handled properly, clearly, and thoroughly. Good service from a company can show the professionalism of the company itself, meaning that seriousness, certainty of time, punctuality and work results that can be accounted for in solving all problems can prove the quality of a company. Clustering is the process of partitioning a set of data objects into subsets called clusters. Objects in the cluster have similar characteristics to each other and are different from other clusters. Clustering is very useful and can find unknown groups or groups in the data. From 2056 customer complaint data, the results obtained are Cluster 1, namely 12, 5, 5, in cluster 2, namely 4, 5, 5 and cluster 3, namely 8, 2, 2. With the number of cluster members 1 883 members, cluster 2 635 members and cluster 3 namely 538 members. From the results of the Matlab cluster, there are similar results, namely the types of complaints in cluster 1 and cluster 2, namely code 5 types of leaking pipe complaints with handling damage to connecting water pipes (gibout join). Keywords : Clustering, Custome Problems, Matlab
Pengelompokan Penyakit Pada Pasien Berdasarkan Usia Dengan Metode K-Means Clustering (Studi Kasus : Puskesmas Bahorok) Tanty Tanty; Budi Serasi Ginting; Magdalena Simanjuntak
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 2 (2021): November 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i2.10508

Abstract

In this study, the process of applying the K-Means method will be carried out in classifying diseases in bahorok health center patients based on age. To simplify the process of managing a lot of data, the Bahorok Health Center needs a system in making decisions to find out the grouping of diseases based on the age of patients who are often affected by the disease at the Bahorok Health Center. The application of the K-Means Clustering method is a method used in data mining which works by finding and classifying data that have similar characteristics between one data and other data that has been obtained. As for the results. The results of the pattern analysis above From 20 data obtained 3 groups, it can be concluded as follows: Group 1 Centroid 1: (2.2 1.4 2.2) there are 5 data. Based on the above calculations, it can be seen that in cluster 1 group 1, the patients are children. Group 2 Centroid 2: (1 1,6 1,6) there are 3 data. Based on the above calculations, it can be concluded that in cluster 2, group 2 is an adult patient. Group 3 Centroid 3: (1,75 1,58 6) there are 12 data. Based on the above calculations, it can be concluded that in cluster 3, group 3 is the patient is the elderly. Keywords : K-Means, Diseases in Patients
Perangkat Lunak Bantu Pemahaman Kriptografi Metode MMB (Modular Multiplication-Based Block Chipher) Fretty Rawaty; Budi Serasi Ginting
Jurnal Mantik Penusa Vol. 3 No. 5 (2010): Jurnal Manajemen dan Informatika Komputer Pelita Nusantara
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Kriptografi (cryptography) berasal dari kaya 'kryptos' yang artinya tersembunyi dan sebagai sesuatu yang tertulis secara rahasia (tersembunyi). Kriptografi adalah ilmu yang mempelajari teknik-teknik matematika yang berhugungan dengan aspek-aspek pada keamanan informasi misalnya kerahasiaan, integritas data, otentikasi pengirim/penerima data, dan otentikasi data. Dengan pengembangan bidang kriptografi, pembagian antara apa yang termasuk kriptografi dana apa yang tidak telah menjadi kabur. Dewasa ini, kriptografi dapat dianggap sebagai perpaduan antara studi teknik dan aplikasi yang tergantung kepada keberadaan masalah-masalah sulit. Kriptografi metode MMB menggunakan plaintext 128 bit dan algoritma iteratif yang terdiri dari langkah-langkah linier(seperti XOR dan aplikasi kunci) serta aplikasi paralel dari empat subsitusi non linier besar yang dapat dibalik. Subsitusi ini ditentukan oleh sebuah operasi perkalian modulo 2^32-1 dengan faktor konstan, yang memiliki tingkat sekuritas lebih tinggi bila dibandingkan dengan metode IDEA yang hanya menggunakan operasi perkalian modulo 2^16+1. MMB menggunakan 32 bit subblock text (x0,x1,x2,x3) dan 32 bit subblock kunci (k0,k1,k2,k3). Hal ini membuat alhoritma tersebut sangat cocok diimplementasikan prosesor 32 bit. Sebuah fungsi non linier, f, diterapkan enam kali bersama dengan fungsi XOR. Kata Kunci : Perangkat Lunak Bantu Pemahaman Kriptografi Metode MMB
PENERAPAN METODE CLUSTERING UNTUK PENGELOMPOKAN DATA PESERTA DIDIK BARU (PPDB) DI SMP SWASTA GOTONG ROYONG KUALA asrul reza; Budi Serasi Ginting
JSIK (Jurnal Sistem Informasi Kaputama) Vol 6, No 2 (2022): Volume 6, Nomor 2 Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jsik.v6i2.1143

Abstract

Data mining dapat membantu Sekolah dalam menggali pengetahuan baru dengan cara memproses data yang ada dengan metode clustering dan menggunakan algoritma K-Means.
RANCANG BANGUN SISTEM ABSENSI MENGGUNAKAN ID CARD DENGAN PENGIRIMAN DATA VIA TELEGRAM BERBASIS NODEMCU ESP8266 MENGGUNAKAN METODE FUZZY LOGIC Anggun Angraini; Akim M. H. Pardede; Budi Serasi Ginting
JTIK (Jurnal Teknik Informatika Kaputama) Vol 6, No 2 (2022): Volume 6, Nomor 2 Juli 2022
Publisher : STMIK KAPUTAMA

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Abstract

ABSTRAKTelah dirancang sebuah sistem absensi pada perkantoran menggunakan id card dengan notifikasi via telegram berbasis nodemcu esp8266 menggunakan metode fuzzy logic. Sistem alat ini menggunakan mikrokontroller NodeMCU ESP8266 yang dimana NodeMCU ESP8266 ini berfungsi sebagai pengolah data, dan juga penerima jaringan WI-FI yang dipancarkan oleh sebuah sistem jaringan WI-FI. Sistem alatnya ini menggunakan sensor RFID Card untuk membaca kode dari setiap pegawai kantor yang hadir untuk menentukan absensi kehadiran dari setiap pegawai, data absensi kehadiran setiap pegawai nantinya akan terkirim ke telegram. Pada sistem alat ini juga menerapkan metode fuzzy logic yang dimana metode fuzzy logic yang digunakan berfungsi untuk mengetahui status kehadiran dari setiap pegawai apakah dia hadir tepat waktu, terlambat, atau tidak hadir sama sekali. Sistem alat ini diharapkan dapat menjadi salah satu teknologi tepat guna yang dapat membantu kinerja manusia dalam kehidupan sehari-hari khususnya dalam bidang perkantoran.
JARINGAN SYARAF TIRUAN MEMPREDIKSI PERNIKAHAN DI KEMENTERIAN AGAMA KOTA BINJAI DENGAN MENGGUNAKAN METODE BACKPROPAGATION Anisa Anisa; Budi Serasi Ginting; Relita Buaton
JTIK (Jurnal Teknik Informatika Kaputama) Vol 6, No 2 (2022): Volume 6, Nomor 2 Juli 2022
Publisher : STMIK KAPUTAMA

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Abstract

Pada dasarnya teknologi merupakan fasilisator yang saat ini telah mewadahi segala aspek dankegiatan-kegiatan manusia, baik dibidang Pendidikan, Kesehatan, Sosial, Ekonomi, dan Budaya. Menurut hasil dari penelitian Kantor Kementerian Agama Kota Binjai belum sepenuhnya memanfaatkan Sumber data yang ada untuk memprediksi jumlah data nikah berikutnya lebih banyak atau lebih sedikit. Jaringan Syaraf Tiruan merupakan salah satu sistem pemrosesan informasi yang didesain dengan menirukan cara kerja otak manusia dan menyelesaikan masalah. Dalam penerapannya JST sering digunakan pada peramalan atau prediksi, dalam prediksi metode JST yang sering digunakan yaitu metode Backpropagation. Berkaitan denganhal tersebut, untuk membantu dan mempermudah dalam memprediksi jumlah tingkat data nikah Kantor Kementerian Agama Kota Binjai. Untuk 1 interasi dengan menggunakan metode Backpropagation hasilnya 0,562312667.
Penentuan Penerimaan Bantuan Masyarakat Menggunakan Metode Weight Product (WP) Baina Sahara; Budi Serasi Ginting; Siswan Syahputra
Journal of Computer Science and Informatics Engineering Vol 1 No 4 (2022): Oktober
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v1i4.208

Abstract

Nangka Village, North Binjai District, Binjai City is one of the villages that proposes and distributes assistance to the community. The current problem in the scheme of assistance to the community is the inaccuracy of recipient data. This can raise concerns that if there is no improvement it will lead to social conflict in the community. Efforts that can be made to overcome these problems in recording and determining the people who are entitled to receive assistance for the community are by using a Decision Support System (SPK) with the Weighted Product (WP) Method to implement the determination of acceptance of community assistance. The criteria used are income, number of dependent children, floor area, type of house wall, home ownership status, source of lighting, cooking fuel, and education of the head of the household
Grouping Library Book Collection Based On Old Book Borrowers With Clustering Method (Case study: STMIK Kaputama) Sumartika Br Hutasoit; Budi Serasi Ginting; Fuzi Yustika Manik
International Journal of Health Engineering and Technology Vol. 3 No. 3 (2024): IJHET SEPTEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.906 KB) | DOI: 10.55227/ijhet.v1i2.36

Abstract

Libraries are institutions that collect printed and recorded knowledge. Books can be borrowed at the library for a length of time according to library regulations. Based on observations that some types of books in the library of STMIK Kaputama have a very high ratio of the number of borrowers, while the availability of books is limited. The addition of new book collections cannot be done because the storage capacity of the collection is limited. Based on these conditions, the grouping of book collections based on the length of book borrowing is carried out to optimize the service time for borrowing books. This application was created to assist librarians in determining the optimal length of book borrowing. So in this case, we will design and build a system that will be used in grouping library book collections based on the length of borrowing and the variables determined using the clustering method. The purpose of this research is to design and build a system for grouping library book collections in order to produce information quickly about the availability of books in the library. 
Application of Dempster Shafer to Diagnose Cholecystitis Based on Web Selviyani, Selviyani; Budi Serasi Ginting; Yani Maulita
International Journal of Health Engineering and Technology Vol. 3 No. 3 (2024): IJHET SEPTEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (891.294 KB) | DOI: 10.55227/ijhet.v1i2.37

Abstract

Cholecystitis is an inflammation of the gallbladder. The gallbladder is an organ where bile is stored, which is a fluid that plays an important role in the digestion of fat in the body. Data processing at Bangkatan Hospitals is currently still done by means of patients coming to the hospital and heading to the receptionist to carry out the process before meeting an expert (doctor), it makes patients have to queue and wait their turn to meet the doctor. The current lack of knowledge and information from the community/patients causes delays in handling the early symptoms of cholecystitis. This makes this research carried out by building an expert system that is able to diagnose cholecystitis. With the dempster shafer method, it is expected to be able to provide a high level of accuracy. From the calculation process using the Dempster Shafer method, it can be concluded that the disease suffered by the user is Acute Cholecystitis with a density value of 0.571 or 57.1%.
Data Mining Motor Vehicle Testing Based On Vehicle Type Using The K-Means Method Case Study Binjai City Transportation Service Aldo Kristian; Budi Serasi Ginting; Suci Ramadani
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.623 KB) | DOI: 10.55227/ijhet.v1i2.26

Abstract

Motor vehicle testing is a series of activities to check the components in the vehicle. Motor vehicle testing is very important, because vehicles operated on the road have the potential to cause accidents. So if periodic inspections are not carried out, it cannot provide technical safety to vehicle users, because it is not known what components are lacking and what components must be repaired. In this study, motor vehicle test data will be calculated using the K-Means. The K-means algorithm is aclusteralgorithm non-hierarchical. Cluster analysis is a tool for grouping data based on variables or features. The purpose of k-means clustering, like other clustering methods, is to obtain clusters of data by maximizing the similarity of characteristics within the cluster and maximizing the differences between clusters.groups K-means clustering algorithm data based on the distance between the data and the centroid cluster Cluster with the number of motorized vehicle data based on the type of vehicle as many as 4 vehicles, namely, freight cars, MPU, buses, and betor. Cluster 1 there are 7 groups with 7 types of vehicles: 2 BUS and 5 betor where there is one type of vehicle (betor) that does not pass the test due to the type of damage at the time of testing motor vehicle. Cluster 1 is the type of vehicle that passes the motor vehicle test the most with the lowest level of damage; Cluster 2 there are 4 groups by type of vehicle: 4 Cars of Freight where 2 of them did not pass the test because of the type of damage during the motor vehicle test; Cluster 3 has 9 groups with the types of vehicles: 2 freight cars, 4 MPUs, and 3 BUS. 3 BUS and 1 MPU did not pass the test due to damage during the motor vehicle test. cluster is the cluster of vehicle types that do not pass the test with the most types of damage.
Co-Authors Aldo Kristian Anggun Angraini Anisa Anisa asrul reza Baina Sahara Buaton, Relita Dhea Armaya Fretty Rawaty Fuzi Yustika Manik Karin Annisa Magdalena Simanjuntak Mili Alfhi Syari Pardede, Akim Manaor Hara Putri Ladya Elvanny Ramadani, Suci Selviyani, Selviyani Siswan Syahputra Sumartika Br Hutasoit Tanty Tanty Yani Maulita