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Sistem Pendukung Keputusan Penerimaan Account Officer Menerapkan Metode EXPROM II (Studi Kasus: Bank Sumut) Pasaribu, Santri W; Utomo, Dito Putro; Mesran, Mesran
Journal of Information System Research (JOSH) Vol 1 No 3 (2020): April 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Account Officers are the main part that handles credit analysis and are required to have expertise and skills and have mastery of theoretical knowledge. The process of accepting an Account Officer (AO) is often a problem that needs to be dealt with, so far the process of accepting an Account Officer (AO) depends only on the administrative aspects or it can be said to be merely file selection without regard that applicants have the ability in that position. The need to get employees working as Account Officers (AO) is not an easy problem, many problems can be solved by using SPK. The method used in the Account Officer acceptance decision support system is the extended promethee II (EXPROM II) method. Exprom II is one of the methods of determining the order or priority in multi-criteria analysis. Exprom II compares one alternative to another and calculates the distance, the difference in alternative pairs in order to produce an output that is alternative ranking based on the highest flow value. It is hoped that the results of this study can help the bank in North Sumatra in determining the account officer who is suitable to work at the bank in North Sumatra
SISTEM PAKAR MENDETEKSI KERUSAKAN TONER DENGAN MENGGUNAKAN METODE CASE BASED-REASONING Utomo, Dito Putro; Nasution, Surya Darma
JURIKOM (Jurnal Riset Komputer) Vol 3, No 5 (2016): Oktober 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.657 KB) | DOI: 10.30865/jurikom.v3i5.65

Abstract

Sistem pakar merupakan sebuah sistem komputerisasi yang banyak digunakan dan berkembang saat ini dengan tujuan utamanya memindahkan pengetahuan/keahlian seorang pakar yang dituangkan kedalam bentuk sistem yang terkomputerisasi. Khususnya ditujukan dan digunakan untuk orang awam yang berguna untuk membantu tanpa harus membutuhkan seorang pakar untuk menyelesaikan permasalahan yang ada dengan maksud untuk menghemat atau mengefisiensikan waktu. Printer laser jet masih banyak digunakan pada perusahaan – perusahaan saat ini dengan keuntungan yang banyak didapat salah satunya menekan biaya pengeluaran dikarenakan printer laser jet menggunakan tinta toner yang dapat diisi ulang tanpa harus membeli yang baru. Tetapi toner ini tidak terlepas dari kerusakan – kerusakan yang sering terjadi dan mengganggu kelangsungan aktifitas di perusahaan khususnya didalam mencetak (print) berkas/dokumen. Dengan segala permasalahan yang diuraikan diatas ada suatu penyelesaian masalah tersebut yaitu dengan menggunakan metode case based reasoning yang merupakan sebuah metode digunakan didalam sistem pakar untuk memecahkan permasalahan yang ada, metode case based reasoning merupakan metode yang didalam menyelesaikan masalah yang ada dengan memanfaatkan kejadian – kejadian yang telah terjadi dahulu untuk kembali dicocokan pada kejadian – kejadian yang baru terjadi. Kata Kunci : Sistem Pakar, Toner Printer, Metode Case Based-Reasoning.
Implementation of AHP and WASPAS (Weighted Aggregated Sum Product Assessment) Methods in Ranking Teacher Performance Mesran, Mesran; Suginam, Suginam; Utomo, Dito Putro
IJISTECH (International Journal of Information System & Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1217.465 KB) | DOI: 10.30645/ijistech.v3i2.43

Abstract

The performance of a teacher is an outcome that is demanded by the School Principal in awarding a teacher who is at a formal level of education. In producing effective decisions on performance ratings, it is, of course, necessary to use a computer-based information system, this is known as the Decision Support System. In order for the resulting decisions to be better, using methods that can process existing data so that the method used is able to produce a final report in the form of a decision. At SD IT Al-Munadi Marelan-Medan, so far not using computer applications to help decision-makers to rank teacher performance. Although all this time the needs of the school principal are reports on the performance of teachers in schools. In the research that the authors conducted using a combination of AHP and WASPAS methods which are expected to improve the results of decisions on teacher performance ranking.
Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung Utomo, Dito Putro; Mesran, Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2080

Abstract

Heart disease is a disease with a high mortality rate, there are 12 million deaths each year worldwide. This is what causes the need for early diagnosis to find out the heart disease. But the process of diagnosis is quite challenging because of the complex relationship between the attributes of heart disease. So it is important to know the main attributes that are used as a decision making process or the classification process in heart disease. In this study the dataset used has 57 types of attributes in it. So that reduction is needed to shorten the diagnostic process, the reduction process can be carried out using the Principal Component Analysis (PCA) method. The PCA method itself can be combined with data mining calcification techniques to measure the accuracy of the dataset. This study compares the accuracy rate using the C5.0 algorithm and the Naïve Bayes Classifier (NBC) algorithm, the results obtained both after and before the reduction are Naïve Bayes Classifier (NBC) algorithms that have better performance than the C5.0 algorithm
Reduksi Atribut Pada Dataset Penyakit Jantung dan Klasifikasi Menggunakan Algoritma C5.0 Utomo, Dito Putro; Sirait, Pahala; Yunis, Roni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2355

Abstract

Coronary heart disease, commonly referred to as cardiovascular, heart disease is a disease with a high mortality rate. Thus diagnosis is very important and is an important area of medical research. In the diagnostic process, the most frequently encountered problems are time in making decisions and the lack of accuracy in the classification process. Attributes are important in making decisions on heart disease so it is necessary to know the main attributes of heart disease. Often different results are obtained in the diagnostic process due to the many attributes used in decision making. So it is necessary to do a reduction process in the attributes of heart disease. Principal Component Analysis (PCA) method can be used for data reduction with large dimensions and ranking the attributes to be reduced. The classification process can be done using the C5.0 Algorithm and getting a level of accuracy in the classification process. The results obtained in this study reduce the 12 attributes of the heart disease dataset and classify them with a combination of attributes after the reduction process is carried out. The results obtained with the highest level of accuracy when classifying with 11 attribute combinations where there is 1 attribute that is reduced, the accuracy rate obtained is 89.11%.
Sistem Pakar Diagnosa Hepatomegali Menerapkan Metode Fuzzy Logic Sugeno Daely, Hendrikus; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2682

Abstract

The expert system is one tangible manifestation of the development of artificial intelligence which can be useful in assisting problem solving to obtain effective results in the process of determining a diagnostic decision. The expert system itself adopts expert knowledge in a field then provides diagnostic output in accordance with the expert's knowledge in solving diagnostic problems. The problems raised are the topic of this research to be resolved using an expert system, namely solving the problem of uncertainty in the diagnosis of Hepatomegaly which is experienced by the general public so that it must require the assistance of an alhi who is called an expert in diagnosing Hepatomegaly. Hepatomegaly is an increase in the size of the liver. This condition generally occurs due to disease in the liver, one of which is hepatitis. But it could also be due to other diseases. The expert system method applied in this study is to obtain accurate diagnosis results in accordance with the expert knowledge of diagnosis of Hepatomegaly, namely the Fuzy Logic Sugeno method. Fuzy Logic Sugeno which is used in expert systems in this study works to find an accurate diagnostic solution to the problem of uncertainty in the initial diagnosis of Hepatomegaly. The expert system for diagnosing Hepatomegaly in this study was built using the Visual Basic Net 2008 programming language and using the MySQL database as a data storage space for this expert system. The results of this study are expected to be an alternative application that can solve the problems of diagnosing Hepatomegaly in the future.Keywords: Expert System, Diagnosis, Hepatomegaly, Fuzzy Logic Sugeno
Sistem Pendukung Keputusan Penilaian Kinerja Generik Anggota Polri Di Polda Sumatera Utara Menggunakan Metode MABAC & Entropy Ndruru, Radius Kharisman; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2710

Abstract

Generic performance appraisal is a system that can identify and measure the performance of all INP members to maintain, improve and create communication between leaders and members in order to better understand the main duties and functions of Polri members. Generic performance appraisals include leadership, communication, integrity, commitment to organization, and discipline. In the writing of this thesis, a generic performance appraisal decision support system was developed using the mabac and entropy methods in which this method provides a stable (consistent) solution and it is considered a reliable tool for rational ones. Keywords: Decision Support System, MABAC & Entropy, Polri, Polda
Implementasi Metode ROC (Rank Order Centroid) Dan Waspas Dalam Sistem Pendukung Keputusan Pemilihan Kerjasama Vendor Damanik, Samueal; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2690

Abstract

In a company, the choice of vendor cooperation is quite important. The accuracy in choosing this vendor cooperation can affect the level of profit or loss felt by a company. This resulted in the company's management making maximum efforts in determining this vendor's cooperation in order to get the right choice. Because of this, the authors will create a decision support system that can be used as a reference in choosing vendor cooperation. The method that will be used by the writer in this research is using ROC (Rank Order Centroid) and WASPAS (Weight Aggregate Sum Product Assessment). With the application of these two methods, it is hoped that the maximum selection results will be obtained in determining vendor cooperation. The system to be built in this study is a web-based system using the PHP programming language and MySQL database.Keywords: Cooperation, Vendor, Rank Order Centroid, Waspas, Decision Support System
Penerapan Algoritma Stout Codes Untuk Kompresi Record Pada Databade Di Aplikasi Kumpulan Novel Lamsah, Lamsah; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2711

Abstract

The large amount of data that has been stored in the memory or hard drive will increase the amount of usage capacity on the storage media. Large file sizes can also affect data transfer between storage media, so a compression technique is needed to compress records in the database in a novel collection application so that the space required for storage is smaller. The solution to this problem is that the database records can be compressed in order to speed up the transfer and storage of database records. Compression of the database record can be done by reducing the file size by reducing the bits in the database record, but not eliminating or creating a corrupted record. By compressing, large data will be reduced in size so as to save storage space. In this research, the algorithm used is Stout code, by using this algorithm, the compression results of the values have different results for each value, and the compression results will make sending and moving database records easier.Keywords: Compression, Records, Database, Novel, Stout Code Algorithm.
Penarapan Algoritma Prefix Code Dalam Kompresi Data Teks Saragih, Soumi Rohmah; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2691

Abstract

Data compression technology is the process of converting a set of data into a lower coded representation of data that is not encoded with a certain encoding. Data compression is done by encoding each character into a shorter coded message, in order to save storage space requirements and time for data transmission. Compression is used to speed up the process of sending from uncoded characters to certain encoded characters. By compressing, large data will be reduced in size so as to save storage capacity. In this study the authors use the Prefix Code algorithm, using this method the compression results are very good in transmitting data and moving text data allocations easier and faster. By compressing, large data will be reduced in size so as to save storage space. There are many types of methods or algorithms in text data compression, but in this algorithm the writer only wants to know the compression process using the Prefix Code algorithm using C1 code where the author has succeeded in compressing text data with the prefix code algorithm using C1 code has the ability to compress text data by 58.3% on a text data.Keywords: Compression, Text, Data, Prefix Code, Algorithm.