Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
JURASIK adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Sistem Informasi dan Teknik Informatika. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) adalah jurnal ilmiah dalam ilmu komputer dan informasi yang mengandung literatur ilmiah pada studi murni dan penelitian terapan dalam ilmu komputer dan informasi dan ulasan publik pengembangan teori, metode dan ilmu terapan yang berkaitan dengan subjek. Jurnal ini pertama kali mendapat ISSN dengan nomor 2527-5771 pada tahun 2016 untuk terbitan cetak dan mulai 2017 beralih ke terbitan elektronik dengan nomor ISSN 2549-7839. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesionaldan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan ilmu komputer. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) terbit 1 (satu) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) telah terindeks Google Scholar, Garuda, Crossref dan terus akan diupdate mengikuti perkembangan. Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) telah melakukan perubahan jumlah terbitan dari 1 x setahun (Juli) menjadi 2 x setahun (Februari dan Agustus) dan telah melakukan perubahan data administrasi pada laman LIPI dengan url: http://u.lipi.go.id/1480905139. Topik dari jurasik adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelligence, Digital Signal Processing, Human-Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge-Based Management System, Game Technology.
Articles
421 Documents
<![CDATA[Penerapan Metode Fuzzy Simple Additive Weighting Dalam Penilaian Kinerja Pegawai Terbaik ]]>
<![CDATA[Gustian, Dudih]]>;
<![CDATA[Dzikril, Tubagus]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.538
<![CDATA[Employee performance is the result obtained after someone performs their tasks or work in accordance with the standards set in the company. Evaluation is not only intended to assess and improve poor performance, but also to encourage employees to work better. This study uses the Simple Additive Weighting (SAW) method with the Trade and Industry Department as its case study to solve the problem of evaluating the performance of employees at the Trade and Industry Department. The Simple Additive Weighting (SAW) method is one of the methods used in the decision-making process. The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The SAW method requires the normalization of the decision matrix (X) to a scale that can be compared with all the existing alternative ratings. One application of the Simple Additive Weighting (SAW) method is the selection of high-performing employees. The goal of this study is to choose the best employees at the Trade and Industry Department and to control the performance of employees at the Trade and Industry Department in order to reach the targets that have been set.]]>
<![CDATA[Analisis Kepuasan Konsumen Pada Pembelian Pupuk Menggunakan Konsep SPK Metode Simple Additive Weigthing ]]>
<![CDATA[Aras, Mohamad]]>;
<![CDATA[Persada, Indra Nara]]>;
<![CDATA[Arpah, M.]]>;
<![CDATA[Ismail, Riswandhi]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.561
<![CDATA[This study aims to measure consumer satisfaction in purchasing puput at CV. Farmer friend. The existence of fertilizer in every area is needed by the community. The growing development of technological knowledge has made many companies compete to establish retailers that can provide good service and needs to consumers. So that there are still many consumers who are still confused about where to buy fertilizer. The problem of this research is the seller's lack of knowledge in determining the criteria for buying fertilizer so that research is needed to determine customer satisfaction, there is fertilizer sales at CV Sahabat Tani. Factors of consumer satisfaction in the purchase of fertilizer seen from product quality, quality of service or services, emotion, price, cost. The Simple Additive Weighting (SAW) method is a method that can be used to find the optimal alternative from a number of alternatives with certain criteria. The SAW concept is simple, easy to understand, and has the ability to measure the relative performance of decision alternatives in a simple mathematical form. The implementation of a consumer decision support system for purchasing fertilizer at CV Sahabat Tani using the Simple Additive Weighting method has provided an alternative ranking of the highest value for purchasing fertilizer that has been recommended by sellers to consumers. By choosing an alternative, customer satisfaction can be used as a decision-making system to increase fertilizer sales and gain the trust of consumers. The lowest value of satisfaction is 0.858 for consumer 1 and the highest value is 1 for consumer V.]]>
<![CDATA[Prediksi Kelulusan Mahasiswa Menggunakan Metode K-Nearest Neigbor (KNN) pada Fakultas Ilmu Teknik, Univeritas Bina Insan ]]>
<![CDATA[Astri, Jemi]]>;
<![CDATA[Karman, Joni]]>;
<![CDATA[Daulay, Nelly Khairani]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.552
<![CDATA[The problem in this study is that there has never been a prediction of student graduation, especially the Faculty of Engineering using the KNN algorithm at Bina Insan Lubuklinggau University and it is necessary to evaluate student graduation both in a timely and untimely manner so that we can compare from year to year whether it is increasing or decreasing. student graduation each year. The research method used is the method of analysis by making predictions using the KNN algorithm. Data collection techniques used are observation, interviews, documentation, and literature study. The results of this study are the implementation of predictions for graduating students at Bina Insan University using the KNN algorithm in Rstudio. Implementation is done by preparing a dataset that will be used for predictions. The dataset is divided into two, namely training data and testing data. Then set the category column as the predictive determinant. Furthermore, the data that has been prepared is normalized so that it can be implemented into the KNN algorithm. Installing the required libraries into Rstudio. Perform prediction calculations using KNN. Displays accuracy results and displays graphs. Based on the results and discussion that has been done, it is obtained that the prediction of Computer Systems Engineering students graduating on time is 0.91 or 91%. Whereas for students majoring in Information Systems graduating on time is 0.70 or 70%. Then for the Informatics Engineering major, graduates on time are 0.80 or 80%. Based on the results of these predictions, the student with the highest prediction of graduating on time is Computer Systems Engineering with a passing percentage of 91%.]]>
<![CDATA[Implementasi Metode Pengembangan Multimedia Development Life Cycle (MDLC) Pada Website Pembelajaran Sistem Multimedia ]]>
<![CDATA[Putri, Dini Ridha Dwiki]]>;
<![CDATA[Fahlevi, Muhammad Reza]]>;
<![CDATA[Putri, Fetty Ade]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.543
<![CDATA[Learning Media has a very important role in the lecture process which is a guideline for increasing student knowledge in the field of interest. The Multimedia Development Life Cycle (MDLC) Development Method can be used in the development of Learning Multimedia Systems Websites for Multimedia Systems courses. The process of making interactive multimedia applications uses six stages, namely: Concept, Design, Material Collecting, Assembly, Testing, and Distribution. This learning website is equipped with practicum modules and video tutorials that can be downloaded. The making of this learning media uses the programming language PHP, HTML, and CSS on the Sublime Text 3 software and the MySQL database on Xampp. Testing this learning website uses Blackbox Testing to see errors in the assembly process before distribution. This research produces interactive multimedia learning media in the form of a website that can be accessed via the internet (online) which aims to facilitate the learning process for students and even the general public.]]>
<![CDATA[Analisis Kecepatan MySQL dan PostgreSQL pada Windows 11 dan Kali Linux 2022 ]]>
<![CDATA[Rosari, Happy Sandhiyadini]]>;
<![CDATA[Hakim, Muhammad Syaibani Al]]>;
<![CDATA[Sibagariang, Efifania]]>;
<![CDATA[Kardian, Aqwam Rosadi]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.557
<![CDATA[In the era of the industrial revolution 4.0 now, the use of the internet is developing progressively and slowly digitalization arises in every corner of human life. One of them is digital database management on computer systems and the internet, either within a group, institution, or between individuals. With the development of science, there are more variations and types of database systems that can be used based on the needs of their use. There are several factors that can be used as reasons for choosing a database system, one of them is access speed such as to respond to queries sent to the server. In this study, a comparison analysis of the speed of the MySQL and PostgreSQL database systems was carried out for the SELECT, UPDATE and DELETE commands on data with a maximum number of 1.000,000 rows of data. Testing is performed on Windows 11 and Kali Linux 2022 operating systems. The results of this study found that 5 out of 6 query execution trials ran faster on the Kali Linux 2022 operating system.]]>
<![CDATA[Tindak Kejahatan Phising Di Sektor Pelayan Di Universitas Bina Insan Lubuklinggau ]]>
<![CDATA[Caniago, Koko]]>;
<![CDATA[Sutabri, Tata]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.548
<![CDATA[The rapid advancement of today's technology is very helpful for someone in doing work, one of the technologies that is very developed today is the internet, with the internet, it is very easy for someone to communicate with other people, access data stored on the internet and make it very easy for someone to do their job. but behind the convenience when accessing the internet there are crimes that can attack internet users themselves, one of the crimes is phishing, where phishing is very detrimental to the victim. Phishing is a threat that uses social engineering techniques to trick users by impersonating an authorized entity. Phishing attacks various industrial sectors including the corporate industry, banking, education and others. Factors that cause phishing in online banking services are the lack of user knowledge, psychology, and privacy of social networking services. Therefore, prevention of phishing attacks can be done through computer network security. The research method used in this study is a qualitative method with descriptive techniques.]]>
<![CDATA[Perancangan Sistem Informasi Penjualan Online Pada Keler Bouquet Dengan Metode Prototype ]]>
<![CDATA[Widya, Sagita]]>;
<![CDATA[Sembiring, Falentino]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.539
<![CDATA[Online stores can make it easy for businesses to reach a wider market. Especially for small businesses that don't have physical stores, they can sell their products through online stores, so they can increase their sales turnover. The purpose of this research is to design an online sales information system that can increase customer satisfaction and reduce sales failures. This study uses the design thinking method which focuses on problem solving by following the steps of observation and interviews, problem definitions, ideas and prototyping. The result of this research is an online sales information system prototyping that will increase customer satisfaction with features such as an easy ordering process, secure payments, and fast delivery. In addition, this system will also reduce sales failures with features such as updated product stock and detailed product information.]]>
<![CDATA[Expert System for Diagnosing Broccoli Plant Diseases Using the Certainty Factor Method ]]>
<![CDATA[Nasution, Yusuf Ramadhan]]>;
<![CDATA[Santoso, Heri]]>;
<![CDATA[Lbs, Rahma Tania Mawaddah]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.562
<![CDATA[Broccoli farmers or novice broccoli growers have problems knowing the diseases that attack their broccoli plants. Because of this problem there is often a delay in handling which can cause death and can also transmit disease to other broccoli plants so that disease in plants causes a decrease in crop quality and yield. Efforts made to assist farmers in cultivating broccoli plants quickly provide information to farmers so that they know about plant diseases that attack the plants they are treating with a system that can make it easier for farmers to find out earlier about the condition of broccoli plants. The system that was built uses the assurance factor method to get accurate disease diagnosis results. The application is made in the form of an expert system that is useful for diagnosing broccoli plant diseases besides that it will make it easier for farmers to find solutions for handling broccoli plants.]]>
<![CDATA[Analisis Implementasi Penyajian Laporan Keuangan dan Pelaporan Pajak Berbasis Aplikasi Pada CV Afiq Intan Perwira ]]>
<![CDATA[Sandra, Elminaliya]]>;
<![CDATA[Mustika, Ita]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.553
<![CDATA[The purpose of this study is the author wants to know what happens when ABSS Accounting and taxation is implemented, whether the implementation of information systems in presenting financial and tax reports encounters many obstacles or not, can have a positive impact or even have a negative impact after using the software and know the implementation of tax applications. The data collection method is data obtained directly from the company, namely by interviews and observations on related parts of the company, the author conducted interviews with employees of CV Afiq Intan Perwira. In analyzing the data that has been obtained this research is a field research category (field research), so the authors use qualitative and descriptive methods. The result of the research is that the accounting system that will be implemented is ABSS Accounting, which is a more adequate and reliable accounting system than using Microsoft Excel. Electronic tax reporting can make it easier to report periodical and annual SPTs for both corporate SPTs and other SPTs. So that it can increase the knowledge of CV Afiq Intan Perwira so that as a taxpayer it can make it easier to report. What makes the implementation of an accounting information system based on ABSS Accounting and taxation can be of benefit to CV Afiq Intan Perwira because it has complete features that make it easier for users compared to the previous system.]]>
<![CDATA[Penerapan Artificial Neural Network dengan Metode Backpropagation Dalam Memprediksi Harga Saham (Kasus: PT. Bank BCA, Tbk) ]]>
<![CDATA[Ridho, Ihda Innar]]>;
<![CDATA[Ramadhani, Cerah Fitri]]>;
<![CDATA[Windarto, Agus Perdana]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i1.612
<![CDATA[The Indonesia Stock Exchange (IDX) is a marketplace where individuals and investors can purchase or invest their capital in stocks for potential profits. There are currently 800 listed companies on the IDX, and one of them is PT Bank BCA Tbk, the largest private bank in Indonesia with a capital of Rp 42.93 trillion. Stocks serve as securities that demonstrate an investor's ownership in a company. In order to predict the future stock prices of companies, especially PT Bank BCA, and to increase the chances of profit for investors, an analysis is necessary. The purpose of this study is to create a forecast model using the Artificial Neural Network (ANN) method to predict the stock price of Bank BCA. Historical stock price data from Yahoo Finance (finance.yahoo.com) from 2016 to 2022 was used as the dataset. The goal of this research is to examine the effectiveness of the Backpropagation method in predicting Bank BCA's stock price. This research provides valuable information and considerations for investors when deciding whether to buy, hold, or sell their stocks. The accuracy rate of this research is 91.66666667%, with a testing MSE of 0.0010000650, and a total of 7695 epochs.]]>
