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INDONESIA
(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Published by Universitas Udayana
ISSN : 23015373     EISSN : 26545101     DOI : https://doi.org/10.24843/JLK
Core Subject : Science,
Computer Science & IT
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 488 Documents
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Implementasi Sistem Pakar Dengan Metode Forward Chaining Untuk Diagnosa Penyakit Kulit Anjing Ida Putu Ari Jayadinanta; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p03

Abstract

Dogs are humans' favorite pets because of the various advantages possessed by these animals. If you have a disease, usually the owner of the dog will throw it away for various reasons, such as lack of knowledge about dog diseases and the limited presence of veterinary clinics. One of the common diseases suffered by dogs is skin disease. The research stages started from Literature Study, Data Collection, System Development (CLI), and Results. The source of knowledge of this expert system for diagnosing dog skin diseases consists of types of dog diseases and their symptoms obtained from information sources on Literature Studies/Libraries available on the internet. The results of the implementation are the CLI System Start Page, the Confirmation Page for Starting Diagnosis, the Diagnosis Page, the Diagnosis Results Page, and the Confirmation Page for Performing the Diagnosis Again. This expert system is expected to help dog owners to diagnose diseases based on visible symptoms.
Analisis Keranjang Belanja Untuk Meningkatkan Penjualan Fashion Di E-Commerce Australia Azzahra Putri Maharani; Apriade Voutama
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2024.v12.i04.p08

Abstract

Industri e-commerce fashion di Australia mengalami persaingan ketat yang mendorong perusahaan untuk meningkatkan penjualan dan mempertahankan kompetitivitas. Analisis data keranjang belanja menjadi kunci strategis dalam pengambilan keputusan yang efektif. Penelitian ini menganalisis dataset keranjang belanja dari platform e-commerce Australia untuk mengidentifikasi tren konsumen, preferensi produk, dan faktor lain yang memengaruhi pembelian. Melalui metode penelitian sistematis, termasuk pengumpulan data, pemahaman bisnis dan data, pembersihan data, analisis eksploratif, serta penarikan wawasan dan rekomendasi, penelitian ini menghasilkan wawasan penting. Hasil analisis mencakup dinamika penjualan bulanan, preferensi produk berdasarkan usia, wilayah dengan penjualan rendah, dan tren pelanggan baru serta setia. Rekomendasi disusun untuk mengoptimalkan strategi pemasaran, segmentasi produk dan pelanggan, promosi produk dengan penjualan rendah, penyempurnaan produk, dan evaluasi berkala. Penelitian ini diharapkan memberikan pandangan berharga bagi perusahaan e-commerce fashion di Australia untuk mencapai pertumbuhan bisnis yang berkelanjutan dan meningkatkan pendapatan bulanan secara signifikan dalam enam bulan mendatang.
Implementasi Algoritma Naïve Bayes Terhadap Klasifikasi Ulasan Aplikasi Tokopedia Yauw James Fang Dwiputra Harta; I Gede Arta Wibawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i03.p08

Abstract

Tokopedia has an average number of visitors per month which is 149.67 visitors. In addition, the Tokopedia application has been downloaded by more than 100 million users with 6.34 million reviews and received a rating of 4.7 out of 5. This study aims to classify the positive and negative reviews of the Tokopedia application on the Google Playstore. The results of the 2000 test data testing obtained 842 positive reviews and 1158 negative reviews. This means the percentage for positive reviews is only 42.1%, in contrast to negative reviews of 57.1%. The performance generated in this test against 2000 testing data is 96.19% accuracy value, with a precision value of 1. While in Class Recall the resulting value is 93.45% (positive class: negative). Then for the AUC value is 0.975.
Sistem Monitoring dan Pengendalian Akuarium Berbasis Internet of Things Abdul Yazid; Ridha Febriliana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i03.p27

Abstract

Modul ESP8266 dan sensor ultrasonik HC SR04 akan digunakan dalam penelitian ini untuk membangun mekanisme pemberian pakan ikan otomatis. Sistem ini diciptakan untuk melacak stok pakan dan mengingatkan pengguna. Pembuatan alat pemberian pakan otomatis yang dapat meningkatkan produktivitas budidaya ikan adalah tujuan utamanya. Selain itu, penelitian ini menempatkan fokus pada pemantauan dan pengendalian akuarium berbasis IoT. Kejernihan air dipantau menggunakan sensor kekeruhan, sedangkan stok makanan ikan dipantau menggunakan sensor ultrasonik. Aplikasi Blynk dapat digunakan dengan gadget ini untuk memantau dan mengatur kondisi akuarium, termasuk mengatur waktu pemberian makan ikan secara otomatis. Studi ini memberikan kontribusi yang signifikan terhadap kemajuan teknologi otomasi serta peningkatan administrasi dan pemeliharaan akuarium. Sistem pemberian pakan ikan otomatis yang dikembangkan oleh penelitian ini berfungsi 100% sepanjang waktu. Temuan pengujian menunjukkan ketidakakuratan 3,26% pada nilai suhu termometer dan sensor DS18B20. Dibandingkan dengan pengukuran manual, akurasi deteksi ketinggian air Sensor Ultrasonik berkurang 4,61%. Pengujian relai aplikasi Blynk berhasil sepenuhnya. Hasil ini menunjukkan betapa bergunanya alat ini untuk memantau dan meningkatkan hasil budidaya ikan akuarium.
Cover & Table of Contents JELIKU Vol. 12 No. 4 Gst Ayu Vida Mastrika Giri
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perancangan Sistem Informasi Keuangan PT. Shinta Furniture Berbasis Web Dian Maulina
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p28

Abstract

Shinta Furniture is a factory engaged in the furniture and fertilizer sector. The role of the computer as a sophisticated tool will not reach its maximum level if it has not been designed with a system that can double as a data processing process. However, the financial information system at PT Shinta Furniture still uses a desktop system. The existing financial system cannot be transferred to another computer. This study aims to facilitate access to financial staff. With this the researchers created and developed a new financial system at PT. Shinta Furniture based on WEB. This financial system uses a descriptive research method with the type of case study research in companies where the data collection techniques used include interviews, observational literature studies for data analysis techniques using the waterfall. The initial stage of this design is to collect research data regarding the website to be designed. In designing the system the author uses Context Diagrams and DFD (Data Flow Diagrams). For database design the authors use conceptual databases, logical databases and physical databases. The main components in designing this system use the MySQL database. The research result is a WEB-based financial information system so that it can be used to facilitate access. This system displays incoming and outgoing money data. On this website there is a report printing feature that can be printed according to the desired month and year.
2008561095_Perancangan Sistem Aplikasi Penyewaan Mobil Berbasis Mobile I Wayan Agus Juniartha; I Gede Santi Astawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i03.p18

Abstract

Nowadays, people tend to search for goods or services through their mobile device using an electronic marketplace. In Bali, a rental business for tourist, weekend events, and other events grow rapidly. This business provides services that rents various kinds of car such as innova, alphard, alya, and others that are commonly used in weekend events. However, unfortunate for rental service entrepreneurs who have high prospects, many of them are using the traditional method of marketing and sales such as word-of- mouth. Moreover, many of them not catching up with the current development of the rental car. By listing the services on the rental, easier for the customer to find the car they want that fit their needs and budget. Also, by utilizing rental car will save the customer time, because the customer can just search, compare, and book to rent car without leaving home. The purpose of this research project is to create a mobile- based application of market place that accommodates entrepreneurs renting car. Our purposed mobile-based rental uses the prototyping method to build this mobile-based application
Penerapan Metode Naive Bayes dalam Sistem Monitoring Akuaponik Made Rahayu Setyaningrum; I Komang Ari Mogi; Agus Muliantara; Ida Ayu Gde Suwiprabayanti Putra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Akuaponik merupakan gabungan antara budidaya akuakultur dan hidroponik yang menciptakan sistem pertanian yang memanfaatkan ikan dan tanaman secara simbiosis mutualisme. Pentingnya menjaga keseimbangan pH dan ketinggian air dalam akuaponik untuk pertumbuhan yang optimal menjadi fokus utama. Untuk mengatasi tantangan tersebut, sebuah sistem website dirancang untuk memantau parameter seperti suhu, pH, kekeruhan, dan ketinggian air, serta memberikan informasi tentang kondisi lingkungan. Data yang digunakan dikumpulkan melalui node-red dan disimpan dalam PHPMyAdmin. Proses pengolahan data menggunakan algoritma Naive Bayes yang mengklasifikasikan kondisi menjadi normal atau tidak normal, dengan hasil pengujian k-fold cross validation dan confusion matrix menunjukkan akurasi sebesar 92%. Selain itu, pengujian kinerja sistem website dengan black box testing menunjukkan bahwa 7 dari 8 fitur berjalan dengan baik, menunjukkan potensi pengembangan lebih lanjut untuk optimalitas penggunaannya. Keywords: Akuaponik, node-red, naive bayes, k-fold cross validation, confusion matrix
Analisis Tingkat Inflasi di Indonesia Menggunakan Teknologi Big Data Analytics Lidya Elisabet Theogracia Silitonga; I Putu Gede Hendra Suputra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p17

Abstract

Inflation is a state of the country's economy where there is a tendency to increase the price of goods and services within a certain period of time. In general, inflation in Indonesia occurs due to pressure from the demand side (Demand Pull Inflation) and from the supply side (Cost Push Inflation). From the demand side, according to monetary theory, this excess demand is caused by too much money circulating in the community, while the amount of goods in the market is small. From the supply side (Cost Push Inflation), inflation is caused by an increase in production costs. Unstable inflation has a negative impact Therefore, inflation control is very important. In this study, the inflation rate in Indonesia will be carried out which aims to determine the development and control of inflation in Indonesia. This study will use secondary data from the Central Statistics Agency (BPS). The research method that will be used is the big data analytics method. In this study, the author uses the Tableau tool to visualize data on Indonesian inflation data taken from the Central Statistics Agency (BPS).
Cover & Table of Contents JELIKU Vol. 12 No. 2 Gst Ayu Vida Mastrika Giri
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

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