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KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25974610     EISSN : 25974645     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) adalah wadah publikasi bagi peneliti dalam bidang kecerdasan buatan, kriptografi, pengolahan citra, data mining, system pendukung keputusan, mobile computing, system operasi, multimedia, system pakar, GIS, jaringan computer.
Arjuna Subject : -
Articles 600 Documents
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Implementasi Metode Ekstraksi Textrank Dan Agglomerative Hierarchical Clustering Untuk Pengelompokkan Jurnal Berdasarkan Abstrak Berbasis Website Riki Alfariz
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5744

Abstract

A digital library is a library that uses information technology and its collections in digital form, can be accessed anytime and anywhere and the dissemination of information is very fast, precise, and accurate. In digital libraries, there are various types of scientific writings (journals). To facilitate the search process from the user, the journals need to be grouped according to certain criteria. To solve these problems, a classification method can be applied. In the process, classification can be done manually or with the help of technology. Manually, classification is done by humans without any help from computer intelligent algorithms. However, this manual process is time consuming and inefficient. Classification can be done with the help of technology, one of which is by using the Agglomerative Hierarchical Clustering algorithm. To simplify the classification process, it is necessary to summarize the set of texts in the document into a few important sentences. In this study, the TextRank method will be used. One of the advantages of this algorithm is that there is no need for training using training data on the algorithm used. The way TextRank works is to find the sentence that is most similar to all the sentences in the text. The sentence that is most similar to all the sentences will be the most important sentence in the text. The result of this research is a website that can be used to group journals. From the results of the tests carried out, the website is able to carry out the journal classification process with a success rate of 93.33%.
Penerapan Sistem Pendukung Keputusan Perekrutan Dosen Baru Pada Poltek AMI Medan Menggunakan Metode Simple Additive Weighting (SAW) Yuliannisa Yuliannisa
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5782

Abstract

This study examines the recruitment of new lecturers at Poltek Ami Medan. At Poltek Ami Medan, it takes a long time to rank and analyze for the recruitment of new lecturers. Recruitment of new lecturers aims to find new lecturers who are qualified and in accordance with the required criteria so that decision making becomes more effective and efficient. The calculation of the recruitment of new lecturers uses the Simple Additive Weighting (SAW) method. This method performs a search for the weighted sum of the performances that are ranked on the alternatives in all their attributes. The categories used for this calculation are 3 (three) categories, namely the category of educational qualifications, microteaching tests, and interview tests. The results of this study were carried out by assessing by weight using the SAW method, then 3 (three) applicants with the highest score were obtained, namely applicant 1 = 37.5, and applicant 9 = 10 with the lowest score. Judging from the processing results, applicant 1 has the highest score of 37.5 stating that applicant 1 is recommended to be a new lecturer at Poltek Ami Medan. The results of the assessment of determining the acceptance of new lecturers are seen from the highest ranking with the largest ranking value, namely the 1st applicant.
Analisa Perbandingan Metode Certainty Factor dan Teorema Bayes Untuk Mendiagnosa Penyakit Asam Urat Widia Ningsih; Nelly Astuti Hasibuan; Edizal Hatmi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5687

Abstract

Gout is a disease that often occurs around us, but many are not aware of the symptoms of the disease and how to detect it, one way to diagnose is using an expert system, in the process of diagnosing using methods, there are many methods to determine the accuracy of the results of the diagnosis One of the methods used is the certainty factor and the Bayes theorem, so many are confused about which method to use to carry out the diagnosis process. So we need a process of comparing methods with the intention of knowing which method is more effective, with a fast and precise calculation process so as to present better and more accurate results, the comparison process will apply the exponential comparison method by assessing the level of processing difficulty, processing time, and probability results so that it can be known which method is right for the diagnostic process. Based on the results of the comparison using the exponential comparison method, the certainty factor method gets a result of 14 while the Bayes theorem method gets 3. By looking at the value of this comparison, it can be said that the certainty factor method is the right method for diagnosing gout.
Analisa Perbandingan Metode Aras Dan Vikor Dalam Pengangkatan Jabatan Pegawai Pada Samsat Medan Selatan Jordan Ebenezer Purba
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5752

Abstract

Employees are one of the supporting factors for companies and agencies, because they have qualified employees, according to the qualifications and criteria needed by the company, then the company can develop and move forward in the future, there are no South Medan Samsat employees who need appropriate employees to work in a company or agency. South Medan Samsat offers a problem that aims to direct employees on each subject and incompatibility with the work they have. In the appointment of a position in a company or agency by using a system decision by using the comparison of the ARAS method and the VIKOR method, the ARAS method is a comprehensive framework of thinking methods considering the hierarchical process which is then carried out a method used for ranking criteria, calculating weights to calculate a criterion in determine and use the VIKOR method with a decision-making method that works by looking at the closest solution/alternative as an approach to the ideal solution in ranking. From the final results of the ARAS and VIKOR calculations, the employee who got the highest rank was Karimun with a score of 2.19 and became a worthy employee and deserved to be appointed as a branch head, while the employee with the lowest rank was Riri with a final score of -1.84 and became an employee who did not deserve to be an employee.
Analisis Perbandingan Kinerja Boldi-Vigna Codes Dengan Algoritma Fixed Lenght Binary Encoding (FLBE) Dalam Kompresi File Text Ewit Purba; Efori Bu’ulolo; Bister Purba
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5700

Abstract

The increasing use of larger data causes problems in data storage, the greater the data stored, the greater the storage space that will be needed. This can cause the data transformation process to be slow and take a long time. Currently, there are many algorithms developed for data compression, but none are so good for compressing various file types because of their different characteristics. One solution or alternative in solving the problem that will be done is to compress the file to reduce the size of the data and speed up the data transmission process so as to save storage space. The algorithms used in this research are Boldi-Vigna (ζ1) Code and Fixed Length Binary Encoding (FLBE) algorithms. To find out the comparison of compression performance, the parameters to be compared are Ratio of Compression (RC), Compression Ratio (CR), Space Saving (SS), Redundancy (Rd), Compression & Decompression Time. Based on the test results show that the Fixed Length Binary Encoding (FLBE) algorithm is better than the Boldi-Vigna (ζ1) Code algorithm where the average result of the comparison of the Boldi-Vigna (ζ1) Code Ratio is 1.69 bits while the Ratio of Compression algorithm Fixed Length Binary Encoding (FLBE) 1.86 bits. The average compression ratio of the Boldi-Vigna algorithm (ζ1) Code is 58.92%, while the Compression Ratio of the Fixed Length Binary Encoding (FLBE) algorithm is 53.57%.
Perancangan Aplikasi Forcasting Penjualan Mobil Isuzu Metode Trend Moment PT. Astra Isuzu Cab. Medan Nur Ahmad Indaka; Garuda Ginting
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5732

Abstract

An understanding of forecasting is the basis for how companies plan and predict sales volumes and commodity goods to be sold. This can be seen from the company's analysis of the quality of goods and the quantity of goods that have high purchasing power. We cannot deny that forecasting applications can help in solving this problem. In the forecasting application and application of the trend moment method in this study for analyzing car sales at PT.Astra International Tbk_Isuzu web-based it really helps companies in analyzing forecasting for 2020, the results show Trend (Y) = 6134.389, Season Index = 1.0274 and value The APE is 32.016%, while for forecasting data for 2021 the results are Trend (Y) = 1866.101, Seasonal Index = 1.094 and the APE value is 89.585%. There is a significant difference in forecasting data for 2020 and 2021 from PT. Astra International Tbk_Isuzu car sales, this affects the value of car sales and the decreased power of customer demand in choosing the type of Isuzu car.
Sistem Pendukung Keputusan Aplikasi Nobar Online Terbaik Dengan Menerapkan Metode EDAS Dengan Pembobotan ROC Serta Kurniawan Zega; Amran Saleh Harahap; Helfrida Hormaria Sihite; Imam Saputra
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5774

Abstract

The online Nobar application is an application that provides various kinds of films or videos that are made to provide practicality for users to do online Nobar. The online Nobar application has been widely circulated on Google Playstore so that it allows users to do online Nobar wherever and whenever, so in this case a Decision Support System (SPK) is needed in determining the online Nobar application which must be recommended by the general public. In determining it there are several alternatives and criteria including user reviews, genres, users, ratings, paid videos. A decision support system is needed in determining the appropriate online nobar application to be recommended istance from average solution) method producing the best preferences according to data such as alternatives and criteria which has been determined and the best preference value in the 3rd Alternative, namely Viu as the best application for Nobar Online with a value of 0.3265with a combination of the ROC (Rank order Centroid) method and generating weight values for certain criteria and the EDAS (d.
Analisis Perbandingan Kinerja Algoritma Huffman Dan Algoritma Levenstein Dalam Kompresi File Dokumen Format .RTF Dwi Asdini; Dito Putro Utomo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5739

Abstract

Document files with the .RTF format are files that are quite often used but have a fairly large size. Large file sizes often experience problems when sending files where the sending process can take a long time and can consume a lot of storage space because too much large data is stored. This is certainly very difficult if there are many files that must be stored, while the storage media has a size limit. To overcome this problem it is necessary to do compression to compress the data. To choose the optimal algorithm for compressing document files, it is necessary to compare the Huffman algorithm and the Levenstein algorithm by measuring performance based on the Ratio Of Compression (RC), Compression Ratio (CR), Redundancy (Rd) and Space Saving (SS). After the calculation, the results of the most optimal algorithm in compressing document files are obtained, namely the Huffman algorithm with higher space saving and lower compression results compared to the Levenstein algorithm. This is because the greater the space saving (ss) the compression is getting better and faster.
Implementasi Algoritma Lucifer Untuk Mengamankan Data Inventor Pergudangan Kasmiran Kasmiran; Pristiwanto Pristiwanto; Siti Nurhabibah Hutagalung
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5747

Abstract

Data security is very important in maintaining the confidentiality of information, especially those containing information that is very important and should only be known by certain parties, let alone using delivery via public networks. Cryptography is the science and art of maintaining the confidentiality of data or text by converting it into a form that cannot be recognized anymore, one of the popular algorithms used in solving these problems is the Lucifer algorithm. Cryptography is a way or technique to secure data so that the confidentiality of the data is maintained, so as to avoid attacks by people who are not responsible for the data. This final project realizes a data security software with the Lucifer cryptographic technique algorithm using the Visual Studio 2008 method.
Penerapan Algoritma Sequitur Pada Kompresi File Teks Christian Abed Nego Ginting
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5723

Abstract

RTF is one of the rich text file formats supported by many applications, making it suitable for cross-platform sharing. This file format is the safest format compared to other formats because this format is not as popular as the doc or docx formats so it has not been targeted by hackers or virus makers, or it can also be said that this format is usually used to prevent file loss. However, this format is the format that has the largest size among the others, so it requires more storage space than other formats. Therefore we need a system to reduce the size of the file in order to use less space to store files. Compression is a system that serves to reduce the size of a file in order to reduce storage memory usage. This study discusses the application of the Sequitur Algorithm to Text File Compression. Compression is done by executing constraints in a grammar that when the uniqueness diagram is violated, a new rule is created, and when the rule utility constraint is violated, the unused rule is deleted. In this study the results of compression using the Sequitur algorithm are Ratio of Compression of 1.688bit, Compression Ratio of 59.21%, Redundancy of 40.79% and Space Saving of 40.79%, but after compression the file format changes so that it cannot Opened using Microsoft Word application, it must be decompressed first to be able to open the file.

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