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(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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Pengembangan Sistem Pendukung Business Intelligence dan Forecasting untuk UMKM (Studi Kasus: Toko Perlengkapan Ternak) Gusti Ngurah Deva Wirandana Putra; Cokorda Rai Adi Pramartha; Ida Bagus Gede Dwidasmara; Dr. Made Agung Raharja
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

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

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pendukung Business Intelligence pada Toko Perlengkapan Ternak guna menyediakan informasi secara real-time yang mendukung pengambilan keputusan yang cepat dan tepat. Metode pengembangan sistem Business Intelligence Roadmap digunakan dalam proses pengembangan sistem ini untuk memastikan tahapan-tahapan pengembangan dilakukan dengan terstruktur dan sesuai dengan kebutuhan. Berdasarkan hasil evaluasi, sistem ini mampu memberikan informasi yang terstruktur dan tepat waktu serta memiliki tingkat penerimaan yang tinggi dari pengguna menggunakan evaluasi Technology Acceptance Model (TAM) yaitu dengan nilai evaluasi persepsi kegunaan (perceived usefulness) mencapai 89% dam evaluasi persepsi kemudahan (perceived ease of use) mencapai 86,14%. Hasil dari ETL Testing juga menunjukkan bahwa data berhasil diproses sebesar 100% tanpa data loss atau kehilangan data. Selain itu, penelitian juga melakukan Data Mining yaitu Forecasting menggunakan metode Support Vector Regression (SVR) untuk data transaksi penjualan, dengan hasil yang menunjukkan kinerja yang baik dalam prediksi jumlah transaksi di masa depan. Hasil evaluasi menunjukkan bahwa metode SVR memiliki Mean Absolute Error (MAE) sebesar 21,39, Mean Squared Error (MSE) sebesar 642,85, dan Root Mean Squared Error (RMSE) sebesar 25,35. Namun, evaluasi jangka panjang diperlukan untuk mengevaluasi kinerja SVR dalam periode waktu yang lebih luas
Desain Aplikasi AMAN : Aplikasi Keselamatan untuk Wanita dan Anak – Anak Berbasis Mobile Alvin Wiraprathama; I Made Widiartha
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.p13

Abstract

Crime is one of the biggest threat and still often occurs easily in daily life in Indonesia until today. According to BPS ( Badan Pusat Statistik ) Indonesia, there are more than 200.000+ crime cases that happened every year. Crime can happen to anyone especially to women and children. This study aim to help solving women and children safety problem by taking the advantage of daily use of mobile phone and smart gadget. In order to solve the problem, the author create a design solution using prototyping method and model it in the form of a mobile application. In the prototype, user can send emergency request at anytime they need, call emergency contact or nearby authorities to help them. Hopefully this application can reduce the crime number and make a safer environment for women and children.
Penerapan Algoritma Slope One dalam Collaborative Filtering Sebagai Sistem Rekomendasi Tempat Kost di Denpasar Ni Wayan Anti Andari; I Wayan Supriana; I Putu Gede Hendra Suputra; Luh Gede Astuti
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

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

Abstract

Kota Denpasar berfungsi sebagai pusat pemerintahan, bisnis, pendidikan, dan pariwisata di Bali, yang menarik banyak pengunjung termasuk mahasiswa dan pekerja dari luar wilayah. Hal ini menyebabkan tingginya permintaan tempat tinggal sementara atau biasa disebut tempat kost. Solusi yang tepat untuk mengatasi permasalahan tersebut adalah dengan membangun sistem rekomendasi tempat kos untuk membantu para calon penyewa menemukan tempat yang sesuai dengan kebutuhan dan preferensi mereka. Sistem ini dibangun menggunakan dua algoritma yaitu collaborative filteringdan Slope One untuk menghasilkan rekomendasi yang akurat dan relevan. Pada tahap evaluasi menggunakan pengujian kebergunaan (Usability) dengan metode SUS. Hasil dari pengujian usability testing dari sisi Acceptability, Grade Scale dan Adjective Rating memperoleh skor rata-rata sebesar 82,03. Dan pengujian akurasi dilakukan menggunakan Mean Absolute Error (MAE) yang menghasilkan tingkat akurasi dengan nilai tertingginya yaitu 0,06 dimana semakin tinggi akurasi yang dihasilkan maka akan semakin baik pula rekomendasi yang diberikan.Tujuan akhirnya adalah membantu pengguna, terutama mahasiswa, menemukan rumah kos yang cocok di Denpasar dengan efisien melalui teknologi informasi. Kata Kunci : Tempat kost, Sistem Rekomendasi, Collaborative Filtering, Usability Testing, Mean Absolute Error (MAE)
Improving The Accuracy of Sentiment Analysis using Slang Words Lexicon and Spelling Correction I Komang Surya Adinandika; I Gusti Agung Gede Arya Kadyanan
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.p04

Abstract

Text pre-processing has long been a research subject to improve accuracy of Natural Language Processing models. In this paper we propose a technique for text sentiment classification with extra steps on text pre-processing using slang word lexicon and spelling correction to annotate non-formal Indonesian text and normalize them. This study aims to improve the accuracy of sentiment analysis models by strengthening text pre-processing methods. We compared the performance of these preprocessing methods using 2 popular classification algorithms: Support Vector Machine (SVM) and Naïve Bayes, and 3 different feature extraction methods: term presence, Bag of Words, and TF-IDF. Model was trained and tested with 1705 datasets of twitter posts from Indonesian users about Covid 19. Result show
Sistem Pendukung Keputusan Gerai Di Pusat Perbelanjaan Modern Provinsi Bali: Metode ANP Andien Rachma Fadillah; I Komang Ari Mogi; Cokorda Rai Adi Pramartha; I Gusti Ngurah Anom Cahyadi Putra
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.p09

Abstract

The rapid competition in the business world due to the Era of Revolution 4.0 has resulted in the need for the business world to maintain competitiveness in front of consumers. Expanding the market by establishing a presence in easily accessible locations such as modern shopping centers is one way to achieve this. Choosing the best location among the many modern shopping centers in Bali for opening an outlet is a challenge for business people, who in this research only used case studies in Bali Province of 16 Modern Shopping Centers. The aim of this research is to develop a web-based decision support system to facilitate the location selection process for business actors. This research will utilize the Analytic Network Process (ANP) method for decision making regarding outlet selection in modern shopping centers. The development of a web-based decision support system enables businesses to effectively select the most suitable locations within modern shopping centers to open new outlets, thereby maximizing their market presence. This system will help businesses make decisions on selecting locations for modern shopping centers in Bali Province.
Klasifikasi Gaya Musik Pop Punk Berdasarkan Era dengan Metode K-Nearest Neighbor I Kadek Riski Ari Putra; Luh Arida Ayu Rahning Putri
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.p09

Abstract

Pop Punk – merupakan salah satu subgenre dari musik punk yang menggabungkan elemen-elemen dari musik pop dengan musik punk. Musik pop punk identik dengan tangga nada yang disadur atau turunan dari musik pop, namun untuk tempo dan gaya bermain mengikuti musik punk yang identik dengan tempo cepat dan suara gitar yang ramai. Pop punk telah mengalami naik turun popularitas seiring dengan berjalannya waktu, namun musik pop punk selalu dapat berkembang dari waktu ke waktu sehingga musik ini dapat diklasifikasikan dalam dua era secara garis besar yaitu oldschool dan modern berdasarkan gaya permainannya. Penelitian ini membahas klasifikasi musik pop punk berdasarkan kedua era tersebut (oldschool dan modern) dengan metode K-Nearest Neighbor menggunakan 5 fitur musik (danceability, energy, key, speechiness, dan valence). Nilai akurasi klasifikasi yang dihasilkan penelitian ini adalah 76%.
Konversi Suara ke MIDI Menggunakan Short Time Fourier Transform Sebagai Virtual Midi Controller Pada Digital Audio Workstation Yoel Samosir; I Ketut Gede Suhartana; I Gusti Ngurah Anom Cahyadi Putra
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.p24

Abstract

Music is inseparable from everyday life, and its demand continues to increase with technological advancements. Amateur music producers are increasingly using digital equipment such as MIDI controllers to create music independently. However, MIDI controllers generally come with a high price tag, and not all musicians have the ability to play the piano or keyboard. This research develops a method for converting sound into MIDI format using the Short-Time Fourier Transform (STFT) and analyzes the accuracy of pitch detection and the reliability of the generated information. Audio recordings from various musical instruments and human voices are used as input in a web-based system. The STFT method is applied to the audio signal to identify and convert pitches into MIDI notations. The analysis results show that the STFT method is capable of producing adequate accuracy in pitch detection, reaching 24.216621%.Factors such as audio quality, STFT parameters, and threshold settings significantly influence the conversion results. Using good audio quality, selecting appropriate STFT parameters, and optimizing the threshold settings can improve pitch detection accuracy.
The Single Sign On Model Using SAML and OAuth for Online Application of UPNYK Ahmad Taufiq Akbar; Hari Prapcoyo; Rifki Indra Perwira
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.p19

Abstract

Big companies have different systems both in terms of applications as well as the operating system, which requires each user to login to each different applications over and over again. With the SSO, users only need to remember one username and one password, but apply automatically universal across enterprise applications, so in this way it can be easier by using SAML (Security Assertion Markup language) for applications to be integrated without having to create a separate user validation. This SAML technology is an XML-based framework and can guarantee the encryption of all or part of the data and then convey it to the end user. Moreover, it allows easy and secure data exchange between systems. The data exchange will be protected by authorization and authentication through tokens containing statements to pass data between users authorized by SAML. SAML can be supported by OAUTH as bearer protocol to provide extensive security when user access services along side on the SSO network
Analisis Penerapan Single Page Application (SPA) dalam Meningkatkan User Experience pada Sebuah Website Sagung Putri Nariswari; I Gusti Agung Gede Arya Kadyanan
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.p18

Abstract

Setiap website ataupun aplikasi tidak hanya harus memiliki tampilan yang menarik, dibalik itu perlu adanya kenyamanan saat user mengakses dan menggunakan aplikasi tersebut. Single Page Application (SPA) atau secara sederhana diartikan sebagai aplikasi satu halaman merupakan salah satu teknik dalam development website yang bekerja secara dinamis mengubah tampilan maupun berpindah halaman tanpa perlu memuat ulang keseluruhan halaman. Teknik ini dipercaya dapat membantu dalam menghemat waktu tunggu yang tentunya dapat berpengaruh terhadap peningkatan user experience sebuah website. Oleh karena itu, dilakukan penelitian dan uji coba pada sebuah aplikasi website yang menerapkan teknik tersebut. Berdasarkan hasil uji coba, didapatkan bahwa penggunaan Single Page Application (SPA) dapat menghemat penggunaan data yang cukup signifikan serta dengan kecepatan memuat (loading time) yang tergolong cepat sehingga sangat efisien dalam membantu meningkatkan user experience bagi aplikasi yang menggunakan data yang tidak begitu kompleks.
Implementasi Methontologi Untuk Pembangunan Model Ontologi Pada Sistem Informasi Produk Bodycare Ida Ayu Taria Putri Mahadewi; Ida Bagus Gede Dwidasmara
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.p10

Abstract

There are many different body care products on the market. This certainly causes many considerations to choose the right body care products and according to the needs or skin problems of each individual. The solution that can be done to this problem is to use a semantic ontology model with the Methontology method. This bodycare product ontology development model produces 10 classes, 5 Object Properties, 5 Data Properties, and 45 individuals. The ontology evaluation process by performing SPARQL query which is used to get the appropriate results. Keywords: Bodycare, Ontology, Methontology, SPARQL, Protégé.

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