(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
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<![CDATA[Implementasi Port Knocking Dalam Mengamankan Jaringan VPN Pada Sistem E-learning ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p06
<![CDATA[Many universities have started using e-learning as a medium of learning and teaching. However, the system on e-learning is still vulnerable to attacks such as identity theft and authentication on e-learning systems. One of the way to secure data on a network is implement a Virtual Private Network (VPN) on the network which can make a network private. That way, the security on the port on the E-learning server will be guaranteed. But attacks on servers more often occur on port 23 (telnet) because telnet does not encrypt the connection process. One of the attacks that is often used is a brute force attack. Based on these problems, research has been carried out to secure port 23 (telnet) and port 80 (e-learning website) on the e-learning server from brute force attacks by implementing the port knocking method. Port 23 and port 80 on the e-learning server that uses the port knocking method are always closed so that the client must do port knocking before being able to use port 23 and port 80 on the e-learning server. By implementing port knocking on the e-learning server, brute force attacks can be avoided because the attacked port is closed.]]>
<![CDATA[Aplikasi Pencarian Informasi Al-Quran dengan Ontologi Web Semantik ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p19
<![CDATA[Al-Quran is the holy book of Muslims which consists of 30 chapters, 114 surahs, and 6236 verses. Each juz in the Quran can contain one or more surah and each surah consists of a different number of verses. Seeing the many contents of the knowledge of the Quran, then this can help someone to find and determine the theme of the surah to be read manually. In this study, the authors build a system that is expected to facilitate one's work in searching for the contents of the Al-Quran by using ontology as the backbone of the system, Methonology as a method for building an ontology model, and Prototyping as a system development method.]]>
<![CDATA[Implementasi Algoritma Gronsfeld Cipher dan Steganografi End Of File Untuk Pengamanan Data ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p14
<![CDATA[Information is a collection of data or facts that are organized or processed in a certain way so that they have meaning for both recipients and users. Data and information are very important things to keep their security or confidentiality so that unauthorized parties cannot find out the data or information. This Data Security Application was developed using the Gronsfeld Cipher algorithm and the End Of File Steganography method. This desktop-based application was created with the aim of increasing data security on confidential information so that unauthorized parties cannot find out the contents of the data. This applicationlis expected to be a solution to prevent the theft of important information by unauthorized parties. From the test results, the developed application can receive input, process input and produce output as expected. Testing the quality of the embedded image gets an average PSNR value of 75,543 dB which can be said to be good because an image can be said to be good if it has a PSNR value above 40 dB, this also shows that the developed application can protect the data embedded in the digital image.]]>
<![CDATA[Penerapan Algoritma Learning Vector Quantization Pada Game Edukasi Belajar Menulis Aksara Bali ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p22
<![CDATA[Almost every region in the nusantara has its own regional script, one of which is in Bali the people know the Balinese script as a script commonly used by their ancestors in writing. In order to keep this Balinese script sustainable and not extinct, learning about this script is applied in schools in Balinese language subjects. In addition to applying learning about script in schools, it would be better if learning about Balinese script could be done in more interesting ways and concepts. One of them is by making an educational game for the introduction of Balinese characters. Which in this application the user will provide input in the form of Balinese script characters written on the application, which then the input will go through a preprocessing process then proceed with diagonal feature extraction, then the results of the feature extraction will go through a classification process using the Learning Vector Quantization method. . The result is a web-based application that can recognize Balinese script writing using the Learning Vector Quantization classification method with an accuracy rate of 58.6% and get a good response from each respondent who has tested the application.]]>
<![CDATA[Rancang Bangun Sistem E-Tendering Kerajinan Khas Bali Dengan Metode Hybrid Collaborative Filtering ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p02
<![CDATA[Bali merupakan salah satu daerah di Indonesia yang mempunyai banyak kerajinan. Banyak peminat yang menjadikan kerajinan khas Bali sebagai souvenir maupun digunakan sendiri. Banyaknya peminat belum diimbangi dengan informasi lokasi pemesanan kerajinan khas Bali. E-tendering akan memudahkan pembeli dalam melakukan pemesanan kerajinan khas Bali. E-tendering merupakan cara pemilihan penyedia barang/jasa yang diikuti oleh semua penyedia barang/jasa yang terdaftar pada sistem pengadaan elektronik. Untuk mendapatkan hasil yang sesuwai berdasarkan spesifikasi pengguna digunakan sistem rekomendasi. Sistem rekomendasi adalah sistem yang memberikan rekomendasi kepada pengguna dalam menemukan tempat pembuatan kerajinan khas Bali berdasarkan kriteria serta pengguna sebelumnya. Sistem rekomendasi ini dibangun menggunakan metode ICHM (item-based clustering hybrid method) dan algoritma slope one. Sistem ini akan memberikan rekomendasi berupa tempat pemesanan kerajinan khas Bali berdasarkan rating item dan konten item. Pengujian menggunakan MAE (Mean Averange Eror) yang mendapatkan nilai kurang dari 1,000. Semakin rendah nilai MAE maka nilai rekomendasi semakin akurat.]]>
<![CDATA[Implementasi Metode Convolutional Neural Network Untuk Pengenalan Pola Motif Kain Tenun Rote Ndao Berbasis Android ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p17
<![CDATA[Rote ndao Ikat Weaving has interesting characteristics in each fabric motif because it has different motifs which indicate the ethnic differences contained in each of the resulting motifs. Rote Ndao weaving has a variety of motifs that are still unknown to many people, so in this study a classification of motifs of rote ndao woven fabrics was carried out using the Convolutional Neural Network method. Weaving motif classification uses 3 motifs with a total of 1050 data including 70 data for Ai Bunak, Dula Kakaik and Lafa Langgak motifs each. Data for 3 fabric motifs is divided into 80% training data and 20% testing data. The classification of the Rote Ndao Weaving motif is carried out by building an architectural model of MobileNetV2 plus Dropout and using a Learning Rate of 0.0003 which is trained and evaluated using K-Fold Cross Validation with a value of K=5, obtaining an accuracy of 93%; The precision is 94% for the Ai Bunak motif, 88% for the Dula Kakaik motif, and 100% for the Lafa Langgak motif. Recall of 87% for the Ai Bunak motif, 94% for the Dula Kakaik motif and 100% for the Lafa Langgak motif. Then the F-Score value obtained is 90% for the Ai Bunak motif, 91% for the Dula Kakaik motif and 100% for the Lafa Langgak motif.]]>
<![CDATA[Implementasi Algoritma Genetika Dalam Penentuan Jadwal Perkuliahan Berdasarkan Kebutuhan Pengguna ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p07
<![CDATA[Education is an important thing in life. In practice, education consists of teachers and students. A teacher teaches a subject to students. Students are taught by several or more teachers. There is a provision in which a class of students can only receive one subject at a time. Teachers can also only teach one subject at a time. This requires a system that is used to regulate so that these provisions can be fulfilled without ignoring other provisions. The system used to manage these problems is a subject scheduling system. This system regulates the class placement of students with the subjects they study. In manual implementation, the process is very inefficient in terms of time, human resources and thought power. The method that can be used to solve this problem is the genetic algorithm. A genetic algorithm is a heuristic method or procedure inspired by the natural selection process. Genetic algorithms are generally used to produce high-quality solutions to problems in the form of optimization and search by relying on biologically inspired operators such as mutation, crossbreeding, and selection]]>
<![CDATA[Sistem Monitoring Tanaman Hidroponik Berbasis Internet of Things menggunakan Restful API ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p11
<![CDATA[Agricultural technology is one of the important things in today's era. one of the Indonesian government programs made is a roadmap with the name Making Indonesia 4.0. in the agricultural roadmap program one of the important technology applications is hydroponic agriculture, in the implementation of hydroponic plants a good form of data communication is needed, therefore in this study the author uses a form of data communication with Restful Architecture API as communication in the hydroponic agriculture monitoring system. In this study, two tests were carried out, namely the test was carried out by testing the system in sending sensor data and the second. System testing in reading and controlling the pH sensor value with parameter intervals of 1 second, 5 seconds, 10 seconds, 20 seconds, and 30 seconds. The results obtained in this study are 30 seconds is the best time in the process of sending data one interval from the microcontroller to the system.]]>
<![CDATA[Pengelompokan Pelanggan Toko Kerajinan Menggunakan K-Means dengan Model RFM dan LRFM ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p03
<![CDATA[Customer groups within a company or shop are important to identify for determine the right sales strategy in a competitive market. This research was conducted at one of the online handicraft shops in Bali which was affected by the intense competition in the market. The handicraft industry in Bali is considered to provide a large contribution to the community's economy. One solution that can be done is to identify the customer groups in the store using the clustering technique. This research aims to get the best customer data cluster and model. The stages in this research start from preprocessing data on historical data and customer orders to generate data model Recency, Frequency, Monetary (RFM) and Length, Recency, Frequency, Monetary (LRFM), then the clustering process with K-Means and evaluation of cluster quality with Silhouette Coefficient (SC). Results Based on the research, the RFM model becomes a data model that produces the best clustering results with an SC value of 0.545 when k = 2 which is included in the medium structure. LRFM model only produces the largest SC value when k = 3 with a value of 0.415. The SC value calculated from each data model tends to increase when the percentage of data is added. Cluster 1 has 817 members with the last transaction taking a long time, but has a below average ordering and monetary frequency. Cluster 2 has 158 members, making the last transaction at the most recent time, and has an average order and monetary frequency. Keywords: Clustering, Customer, Craft, K-Means, RFM, LRFM, Silhouette Coefficient]]>
<![CDATA[Analisis Sentimen Ulasan Aplikasi Transportasi Online Menggunakan Multinomial Naïve Bayes dan Query Expansion Ranking ]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JLK.2022.v11.i01.p13
<![CDATA[The rapid development of the transportation industry in recent years has led to a new innovation in the field of transportation, namely the application of online transportation services. To facilitate the translation of user satisfaction, in addition to users being able to provide reviews, the Google Play Store uses a rating system consisting of a rating of 1 to 5. However, users often do not provide a rating that is in accordance with the review so that this is not enough to determine the sentiment of the review. This research is focused on evaluating the performance of the features selection using Query Expanison Ranking on the Multinomial Naïve Bayes method in the problem of sentiment analysis on the two of most popular online transportation service applications in Indonesia, namely Gojek and Grab. From the results of the performance evaluation using k-fold cross validation, it was found that the best feature selection ratio was 20% with the best performance in terms of precision.]]>
