(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction Virtual/Augmented Reality Computer Security Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm) Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Network Traffic Modeling Performance Modeling Computer Security IT Governance Networking Technology Robotic Instrumentation Information Search Engine Multimedia Security Information Retrieval Mobile Processing Natural Language Processing Artificial intelligence & soft computing and their applications Neural networks Machine Learning Reasoning and evolution Intelligence applications Computer vision and speech understanding Multimedia and cognitive informatics Data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning
Articles
488 Documents
<![CDATA[Perbandingan Antara Arsitektur Perangkat Lunak Microservices dan Monolith ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p13
<![CDATA[A comparative analysis is the process of comparing items to one another and distinguishing their similarities and differences. Big Data is a set of massive data that has 3 characteristics in general. The characteristic is volume, variety, and velocity. In order to process such a big amount of data, we need some kind of software that can efficiently process the data with an available resource. Two of much architectural style on software development known are microservices and monolithic architecture. There are many differences between microservices and monolithic architecture that need to be considered when choosing the right architecture to use. The study will compare between microservices and monolithic architecture to decide which architecture would be preferred to handle and process many data such as big data. The result showed that microservices has less and distributed resource usage compared with monolithic architecture.]]>
<![CDATA[Sistem Rekomendasi Musik Menggunakan Metode K-Nearest Neighbor ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p04
<![CDATA[Musik adalah hobi yang sudah menjadi kebiasaan sehari – hari kita, dimanapun dan kapanpun kita berada mengakses untuk mendengarkan music melalui aplikasi yang sudah tersesdia di berbagai platform. Dengan itu sangatlah dibutuhkan sistem pemberi rekomendasi music untuk membantu pengguna aplikasi dapat mendengar musik sesuai dengan selera masing masing. Metode K-Nearest Neighbor (KNN) adalah algoritma yang popular digunakan dalam banyak penelitian. Tapi dengan penelitian ini dapat direncanakan akan juga menggunakan Particle Swarm Optimization untuk mendapatkan hasil yang lebih optimal lagi. Keywords: Musik, Sistem Rekomendasi, KNN]]>
<![CDATA[Prediksi Kualitas Udara Suspended Particulate Matter dengan Algoritma Backpropagation ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p26
<![CDATA[Suspended Particulate Matter (SPM) is particulate dust emitted from several activities such as transportation and industrial factory areas, one of which is PM10. Currently particulates as one of the causes of air pollution are quite a concern in various countries which have an impact on human health. suspended particulate matter stays in the air and does not easily settle and float in the air, on average around 50% - 60% of the suspended particles are 10µm or PM10 in diameter dust so it is very easy to inhale and enter the lungs. So that this research was appointed to predict the concentration of suspended particulate matter using the Backpropagation Algorithm. In this study, three artificial neural network models were built, each of which has a different level of accuracy, the Backpropagation network architecture that produces the highest accuracy value is by using a network scheme of 3 input layers, 20 hidden layers and 1 output layer with a learning rate. 0.8, the target error is 0.001 and the number of epochs is 10,000, the predicted results of the suspended particulate matter concentration obtained using this model can be said to be good because it produces an MSE value of 0.037 with an accuracy rate of 95.526 %.]]>
<![CDATA[Pengenalan Jenis Rambu Lalu Lintas menggunakan Metode YOLO V5 ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p32
<![CDATA[Meningkatnya jumlah kendaraan bermotor secara signifikan, tidak dapat dipungkiri turut mempengaruhi meningkatnya jumlah kecelakaan lalu lintas. Tingginya angka kecelakaan ini dapat diminimalisir dengan meningkatkan kesadaran masyarakat, dimana salah satunya dengan mengedukasi masyarakat mengenai aturan berlalu lintas. Bentuk edukasi masyarakat mengenai aturan lintas dapat dilakukan dengan mengembangkan sistem berbasis kecerdasan buatan yang dapat mengidentifikasi jenis rambu lalu lintas. Metode kecerdasan buatan yang sering digunakan adalah metode deep learning CNN. Penelitian ini mengembangkan metode untuk melakukan deteksi jenis rambu lalu lintas menggunakan metode YOLO V5 yang merupakan salah satu pengembangan dari metode CNN. Data yang digunakan terdiri dari 96 label jenis rambu lalu lintas dengan jumlah seluruh data sebanyak 1100 citra. Alokasi data train yang digunakan sebanyak 990 citra (90%), sedangkan alokasi data validasi sebanyak 110 citra (10%). Nilai identifikasi model yang diperoleh diantaranya precision sebesar 0,923, recall sebesar 0,826, mAP50 sebesar 0,965, dan mAP50-95 sebesar 0,924.]]>
<![CDATA[Sistem Informasi Penjualan Banten Dan Sarana Upacara Adat Bali Berbasis Website ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p09
<![CDATA[Bali merupakan salah satu pulau di Indonesia. Bali dikenal dengan adat dan budaya yang masih menjadi daya tarik wisatawan selain pesona alam bali yang indah. Adat Istiadat dan budaya di Bali telah diwariskan dan dilestarikan dari generasi ke generasi. Upacara adat di bali kurang lengkap tanpa adanya sarana upacara. Sarana Upacara di Bali adalah Upakara. Di Bali Upakara dikenal dengan istilah Banten. Sebagian besar penjual banten dan sarana upacara di bali masih menggunakan sistem penjualan manual seperti pencatatan masih menggunakan kertas. Dengan menggunakan sistem komputerisasi seperti saat ini akan memudahkan pedagang melakukan transaksi dengan pelanggan dan memanajemen data]]>
<![CDATA[Peningkatan Proses Bisnis Menggunakan Business Process Improvement (BPI) Di Solo Bakery ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p31
<![CDATA[Solo Bakery is an UMKM (Usaha Mikro, Kecil dan Menengah) company that produces bread in Solo city. To maintain business and compete, short, effective and efficient business processes are needed so that they can support production. The business process of procurement (purchasing) of goods and payroll is required to be evaluated and modeled for a new business process (To-be). Evaluation using the Failure Model and Effect Analysis method and business process improvement plans with the streamlining tool from the Business Process Improvement method simulated with the Bizagi Modeler software obtained an average time saving for the goods procurement (purchasing) business process of 1 hour 14 minutes 38 seconds (24%) and the average payroll processing business time is 3 hours 48 minutes 13 seconds (35%). Keywords: Business Process, Failure Model and Effect Analysis, Streamlining, Simulation, Bizagi Modeler.]]>
<![CDATA[Pengembangan CMS (Content Management System) dalam Pembuatan Website Jurusan Menggunakan Framework Laravel ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p33
<![CDATA[Every institution currently has a website, this is because the website is easily accessible and available on various devices such as smartphones, tablets, laptops, or even computers. As mentioned above, with a website as an electronic information medium, it will simplify the process of conveying and sending information. Bali State Polytechnic is one of the campuses that wants to implement this, especially in the Department of Electrical Engineering. At this time the website for the Electrical Engineering Department still uses the WordPress CMS, which from a security point of view is still lacking, especially if you use a lot of plugins provided by third parties. The number of plugins used on the created website can slow down the page loading process with the WordPress CMS. Departing from these problems, the author wants to propose a database design that will later be used in making the website for the Department of Electrical Engineering, State Polytechnic of Bali. Based on the results of the research that has been done, it can be concluded that the development of a content management system (CMS) using the Laravel framework can be implemented on the website of the Department of Electrical Engineering, Bali State Polytechnic with an overall good rating of 86% and very good of 14%]]>
<![CDATA[Transliterasi Aksara Bali Menjadi Huruf Latin Pada Citra Tulisan Tangan ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p22
<![CDATA[The application of image recognition has been widely used in various fields in daily life, one of which is the introduction of useful and useful text or characters in increasing work productivity. Character recognition can be used in the process of transliterating characters, such as translating Balinese script into Latin letters. To perform the previous character transfer, image processing was needed such as preprocessing line segmentation data and character segmentation, using the Image Centroid Zone + Zone Centroid Zone and Moment Invariant feature extraction method and using the Support Vector Machine method. The introduction of Balinese script in handwriting using the Moment Invariant and Zoning feature extraction methods (Image Centroid Zone and Zone Centroid Zone) and the Support Vector Machine classification method resulted in the recognition accuracy in model formation of 90.3%, and the average accuracy generated after testing the system using test data is 82.936%. The making of the rule base for Balinese script is formed using a series of conditions using if-else that adjusts to the rules of reading Balinese script. The conversion of Balinese script in handwriting into Latin letters in this study resulted in an average accuracy of 82.182% of the 6 image data used in system testing.]]>
<![CDATA[Sistem Pendeteksian Penyakit Jantung Koroner dengan Algoritma Random Forest ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p14
<![CDATA[Nowadays, there are many problems with diseases especially for internal diseases. One of the internal diseases that can affect human vital organs is coronary heart disease. Coronary heart disease is caused by excessive accumulation of fatty substances in the lining of the pulse wall of coronary vessels, and this over time is followed by various processes such as the accumulation of connective tissue, capsulation, blood clotting, which will clog blood vessels and result in the heart lacking blood. Of course, this is very dangerous for health and needs to be considered. Therefore, this study aims to build a Machine Learning system, which is built using the Random Forest algorithm which can aim to predict or detect coroner's heart disease earlier so that it can provide fast and accurate treatment for those detected by this disease. The results of this study are in the form of an evaluation of the system that states that the accuracy of the system reaches 91%, then training score and cross validation which has an upward curve which means that the system learns from the data well and also the confusion matrix value which provides a high calculation of prediction correctness compared to the calculation of prediction errors, which are 24: 4 All these results are said to be good and the system is ready to be used to detect coronary heart disease. Keywords: Heart Disease, Detect, Predict, Random Forest, Machine Learning]]>
<![CDATA[Sistem Pengamanan Lukisan Digital Menggunakan Metode Rivest Shamir Adleman (RSA) ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2023.v11.i04.p05
<![CDATA[Lukisan digital adalah sebuah hasil dari proses pembuatan gambar/lukisan secara digital menggunakan kuas digital yang dapat menghasilkan garis. Lukisan ini menjadi sebuah seni modern yang dimana dapat disebar luaskan melalui internet. Namun dengan adanya kemudahan penyebaran informasi, karya seni digital yang ada di internet sangat mudah untuk dipalsukan ataupun dicuri. Untuk menyelesaikan permasalahan tersebut dibuatlah sebuah sistem untuk mengamankan file lukisan digital menggunakan metode enkripsi dan dekripsi Rivest Shamir Adleman (RSA).RSA memiliki dasar enkripsi dan dekripsinya yaitu pada konsep bilangan prima dan aritmatika modulo. Kedua kunci tersebut merupakan bilangan bulat. Berdasarkan penelitian yang dilakukan, file lukisan digital diubah menjadi text kemudian akan melalui proses enkripsi oleh RSA menjadi file text. Selanjutnya untuk memngembalikan hasil enkripsi tersebut dilakukan proses dekripsi dengan private key. Kelemahan dari sistem yang dibuat saat ini adalah ketidakmampuannya dalam memproses file image yang memiliki ukuran yang besar.]]>
