cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Abdul Karim
Contact Email
abdkarim6@gmail.com
Phone
+6285261776876
Journal Mail Official
misjurnal@gmail.com
Editorial Address
Sekretariat: Jalan Sisingamangaraja No. 338
Location
Kota medan,
Sumatera utara
INDONESIA
Management of Information System Journal
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 29649455     DOI : https://doi.org/10.47065
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Management of Information System Journal merupakan jurnal yang mempublikasi hasil penelitian pada bidang Manajemen Informatika maupun Sistem Informasi, namun Management of Information System Journal dapat juga menampung kajian pada bidang Computer Science. Management of Information System Journal publish pada periode 4 bulanan, yaitu November (Issue 1), Maret (Issue 2) dan Juli (Issue 3). Management of Information System Journal memiliki ISSN 2964-9455 (media online) dengan no SK 29649455/II.7.4/SK.ISSN/12/2022.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 2: Maret 2024" : 5 Documents clear
Aplikasi Penyembunyian Pesan Pada File-File Dokumen Berekstenti .Xls/Xlsx Dengan Metode Modulus Function Zai, Indarmawati
Management of Information System Journal Vol 2 No 2: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v2i2.1219

Abstract

Securing messages is a very important thing, because it avoids theft of important files from unauthorized parties. Steganography is a way of hiding messages or inserting messages into other media, so that other people do not know the authenticity of the information. A method is needed so that the data is not lost or is intact until it reaches its destination. In terms of data storage, security is needed so that the stored data cannot be opened, read or even taken by someone who does not have the right to try to open it. To be able to hide messages but not change the container that contains them, a steganography method is needed that can do this. The Modulus Function (MF) method is a message insertion technique that is carried out by modifying the residual value of the quotient (remainder). This method uses quantization of the gray value difference to determine the number of bits to be inserted at a certain value difference. The advantage of this modulus function method is that it is able to reduce changes in coefficient values ​​(coefficient adjustment) so that it is able to maintain the quality of the storage container. So it is in the testing stage with Binary viewer software. Can help in hiding messages in document files
Data Mining Menentukan Pola Penjualan Kunci- Kunci Antik Dan Assesoris Rumah Dengan Algoritma Apriori Lumbantoruan, Ella
Management of Information System Journal Vol 2 No 2: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v2i2.1220

Abstract

Sales are a business or concrete steps taken to transfer a product, whether in the form of goods or services. This research is motivated by the observations and experiences of researchers, problems that occur at UD. Suto whose service is not fast enough because of the accumulation of underutilized sales notes, and there is no research that is used to find out important information in order to increase sales and service. Sales activities at UD. The running Suto continues to cause accumulation of data because of the many sales transactions that occur every day and the longer it will increase. The solution made in this study is to utilize sales transaction data so that the data is useful, it needs to be processed with a certain algorithm. This is done by processing the accumulated transaction data into useful information. By looking at the mapping of sales patterns, the relationship between items purchased by consumers can help managers determine product item displays based on consumer needs. The priori algorithm is a data mining technique that is used to find high frequency patterns between itemset sets called the association rule function. A priori algorithms are part of data mining, which is the activity of collecting data and using old data to find regularities, patterns or relationships in data. The Apriori algorithm will form a predetermined number of frequent itemsets based on two parameters, namely support and confidence. The results of the itemset relationship between goods can be used to increase sales
Sistem Pakar Diagnosa Penyakit Difteri Dengan Menggunakan Metode Certainty Factor Sugianto Gea, Waiman
Management of Information System Journal Vol 2 No 2: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v2i2.1221

Abstract

Expert systems are one part of artificial intelligence or AI (Artifical Intelligence) which has recently been experiencing very rapid development. This system is designed to mimic the expertise of an expert into a computer to answer questions and solve problems. An expert is a person who has expertise in a certain field, namely a person who has special knowledge in his / her field. Expert systems are very helpful for decision making, where this expert system can collect and store knowledge from a person or several experts in a knowledge base and use a reasoning system that resembles an expert in solving problems. This expert system uses a certainty factor approach (certainty factors).
Implementasi Algoritma Fp-Growth Pada Persediaan Barang Elektrikal Wilson Gultom, Andre
Management of Information System Journal Vol 2 No 2: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v2i2.1222

Abstract

Asia Sinar Inti Abadi is a company that operates in the field of selling electrical components, various electrical components that are bought and sold, such as in panel assembly. To increase sales, management must organize the pattern or layout of components that are often in demand by buyers, resulting in large turnover. The problem that has occurred so far is that the pattern of component placement is irregular so that buyers are confused in choosing the electrical components needed. One of the solutions offered is to develop and improve the management of the layout of electrical goods at PT. Asia Sinar Inti Abadi uses the FP Growth algorithm, where each itemset can be identified so that sales that are frequently purchased by consumers can be placed in a section that is easy to see and easy to get. The results of implementing the FP Growth Algorithm using a desktop-based application can make it easier for management to decide on the layout of frequently used electrical goods, where frequently used components will be placed in parts that are easily seen by potential buyers. By using the FP Growth method, you can find out how much confidence each item set has along with the support value.
Sistem Pendukung Keputusan Dalam Pemilihan Mahasiswa Terbaik Untuk Program Student Exchange Menggunakan Metode Electre Sarumaha, Apotes
Management of Information System Journal Vol 2 No 2: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v2i2.1223

Abstract

The student exchange program carried out by HKBP Nomensen University has had a positive influence and impact in the field of student development and the field of nation building. By conducting student exchanges so that the exchange of knowledge and experience between universities and students is of good quality. In selecting the best students for the student exchange program, several criteria are needed to make a decision. So far, HKBP Nomensen University has selected the best students for the student exchange program manually based on the results of the student achievement index. This system is considered less effective and efficient in selecting the best students for the student exchange program because it takes at least 1 month to make a decision. To support decision making in selecting the best students for the student exchange program, it is easier to use a decision support system. One of the methods used for decision support systems is the Electre (Elimination and Choice Translation Reality) method. The Electre method is a multi-criteria decision making method based on the outranking concept using pairwise comparisons of alternatives based on each appropriate criterion. ELimination Et Chix Traduisant La RealitE (ELECTRE) is a method for determining order (priority) in multicriteria analysis. The decision support system application which is used as a solution to the problem above works based on the ELECTRE method which was built with the Microsoft Visual Studio 2008 programming language which is integrated with the MySQL database to store data which is the criteria, alternatives and rules needed when making decisions by system.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 4 No 1: November 2025 Vol 3 No 3: Juli 2025 Vol 3 No 2: Maret 2025 Vol 3 No 1: November 2024 Vol 2 No 3: Juli 2024 Vol 2 No 2: Maret 2024 Vol 2 No 1: November 2023 Vol 1 No 3: Juli 2023 Vol 1 No 2: Maret 2023 Vol 1 No 1: November 2022