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INDONESIA
Jurnal Ilmu Komputer
Published by Universitas Udayana
ISSN : 19795661     EISSN : 2622321X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science
JIK is a peer-reviewed scientific journal published by Informatics Department, Faculty of Mathematics and Natural Science, Udayana University which has been published since 2008. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of computer science. JIK is consistently published two times a year in April and September. This journal covers original article in computer science that has not been published. The article can be research papers, research findings, review articles, analysis and recent applications in computer science.
Arjuna Subject : -
Articles 189 Documents
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OPTIMASI ALGORITMA C4.5 DAN NAIVE BAYES MENGGUNAKAN K-MEANS UNTUK PREDIKSI KELULUSAN MAHASISWA budiman, Arif
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Today's education system demands quality-oriented education. The quality of Indonesian higher education is measured based on accreditation issued by the Badan Akreditasi Nasional Perguruan Tinggi. One indicator of success in the process of managing education on higher education is the period of student graduation. Undergraduate students have a study load of 144 credits which can be taken in 8 semesters. but in fact, there are still many students who cannot complete their studies for 8 semesters due to various factors such as lack of motivation, intelligence factors, and economic factors. There is a need for continuous monitoring and evaluation of periods in student graduation using the C4.5 and Naive Bayes algorithms. Optimization is needed to increase the accuracy value of the C4.5 and Naive Bayes algorithms by using K-means for the data discretization process. The experimental result show C4.5 algorithm with K-means produces an accuracy value of 89.74%, a precision value of 90.60%, and a recall value of 98.00% while Naive Bayes with K-means produces an accuracy value of 80.73%, a precision value of 89.60%, a value recall of 87.20%. The comparison of two classification algorithms combined with K-means shows that the C4.5 algorithm has a better performance than Naive Bayes.
Klasifikasi Sampah Berbasis Convolutional Neural Networks (CNN) untuk Peningkatan Efisiensi Pengelolaan Sampah Kadyanan, I Gusti Agung Gede Arya
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Plastik adalah masalah lingkungan mendesak, dengan lebih dari 300 juta ton diproduksi setiap tahun, dan sekitar 8 juta ton masuk ke lautan. Botol plastik adalah jenis limbah yang umum, tetapi hanya sebagian kecil yang didaur ulang, sementara sisanya mencemari lingkungan. Untuk mengatasi ini, diperlukan pendekatan baru seperti kecerdasan buatan (AI) yang dapat mengenali dan mengklasifikasikan botol plastik di antara limbah lainnya. Dalam penelitian ini, kami mengembangkan model Convolutional Neural Network (CNN) yang berhasil mengidentifikasi botol plastik dengan akurasi 88%. Ini menunjukkan potensi besar dalam mendukung program daur ulang. Dengan integrasi lebih lanjut ke dalam sistem pengelolaan limbah, model ini dapat meningkatkan efisiensi pemilahan sampah dan mengurangi plastik yang berakhir di lautan.
Aplikasi Absensi Pembelajaran Siswa Paket C pada PKBM Tjiliwoeng Berbasis Android Rifkiansyah, Bagas
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

The rapid development of information technology has had a significant impact on various sectors, including education. Using a manual attendance system to record attendance data is vulnerable to data manipulation, and the attendance check system. This can be a problem, because it can make it difficult to collect and record attendance data, as well as time-consuming which can hinder the process of collecting authenticity from student attendance data. The author uses the RAD software development method (Rapid Application Development). Methods RAD (Rapid Application Development) has a focus on fast application development, using an object-oriented approach (Rahardiyanto & Alfatiha, 2022). Based on the results of research conducted by the author, in carrying out the process of designing an attendance application for package c student learning at PKBM Tjiliwoeng based on Android using technology Geolocation. Making it easier for PKBM Tjiliwoeng students not to need to be absent manually. Enough with this attendance application, students can make attendance easily at smartphone themselves. In the process of making this application, my absence still has drawbacks, namely that this application can only be run on smartphone with the Android operating system. The author hopes that this application can run on various operating systems, such as the iOS operating system, and so on.
Implementasi Aplikasi Penerjemah Multi Bahasa Berbasis Python dengan Integrasi Google Translate API dan GUI Tkinter Kadyanan, I Gusti Agung Gede Arya
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Dalam era globalisasi, komunikasi lintas bahasa menjadi semakin penting. Teknologi penerjemahan otomatis menawarkan solusi untuk mengatasi hambatan bahasa, salah satunya adalah dengan mengintegrasikan Google Translate API dalam aplikasi penerjemah berbasis Python. Penelitian ini bertujuan untuk merancang dan mengimplementasikan aplikasi penerjemah multi bahasa yang memanfaatkan Google Translate API dan antarmuka grafis berbasis Tkinter. Aplikasi ini memungkinkan pengguna untuk menerjemahkan teks antarbahasa dengan cepat dan akurat, mendukung lebih dari 100 bahasa. Proses penelitian mencakup studi pustaka tentang penerjemahan otomatis dan antarmuka pengguna, serta pengembangan aplikasi menggunakan metode pengembangan perangkat lunak. Hasil dari penelitian ini menunjukkan bahwa aplikasi yang dikembangkan mampu memberikan pengalaman pengguna yang baik melalui desain antarmuka yang intuitif dan responsif, serta kemampuan penerjemahan yang efektif. Aplikasi ini diharapkan dapat menjadi solusi praktis bagi pengguna yang membutuhkan penerjemahan lintas bahasa secara mudah dan cepat.
Perbandingan Kinerja Clustering Non-Hierarchical pada Indeks Daya Saing Daerah di Provinsi Jawa Tengah Tahun 2022 Ariyani, Marwah Erni; Wijayanto, Arie Wahyu
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Regional Competitiveness Index (RCI) is a benchmark to measure the ability of a region to compete in a market published by the National Research & Innovation Agency (BRIN). RCI includes several pillars or indicators including infrastructure, quality human resources, innovation, and government policies that support economic growth. This study aims to compare the performance of several non-hierarchical clustering techniques. The data used are the RC) from 35 Regencies/Municipalities in Central Java,2022 which was published by the National Research and Innovation Agency. The clustering methods used are Fuzzy c-means, K-means, and K-medoid. Each method gets a different optimal number of clusters. After evaluating the best model using the Silhouette Coefficient, Dunn Index, Davies Bouldin Index, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC), the best model was obtained using k-medoid with three clusters. Based on the clusters formed, the first cluster has three regencies/municipalities, the second cluster has regencies/cities, and the third cluster has 25 regencies/ municipalities.
Cover dan Halaman Depan Astawa, I Gede Santi
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

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PERANCANGAN APLIKASI SISTEM PAKAR PENYAKIT DIABETES MELLITUS MENGGUNAKAN ALGORITMA RANDOM FOREST Pramananditya, Benedicto Reinaldy
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Diabetes Mellitus is a disease that infects many people both domestically and abroad. Based on data from the International Diabetes Federation (IDF), in 2021 Indonesia will be ranked number 5 in the number of people suffering from Diabetes Mellitus, namely 19.47 people. Diabetes Mellitus is a disorder of insulin function in the body which usually has general symptoms, namely an increase in blood sugar in humans. In general, Diabetes Mellitus is categorized into two types, namely Diabetes Mellitus type 1 and Diabetes Mellitus type 2. However, many people, especially in Indonesia, have a low level of awareness and awareness of this disease. This is caused by a lack of knowledge about this disease and its risks as well as limited time or costs in consulting a doctor. Therefore, it is necessary to implement artificial intelligence which is applied to the expert system application for Diabetes Mellitus. The design of this expert system application is intended to obtain results in the form of diagnosis, prediction and consultation. This research applies the Random Forest algorithm as a classification algorithm. In its application, this expert system application uses a combination of datasets from the Gotong Royong Surabaya Hospital and public references with a total of 70 rows of data. This algorithm model training uses a ratio of training data to training data, namely 80:20 with an accuracy obtained of 100% and from the confusion matrix evaluation the results obtained were precision of 1.00, recall of 1.00, and f1 score of 1.00. From the results of the accuracy of model training and algorithm evaluation using a confusion matrix, it can be said that the implementation of the Diabetes Mellitus expert system using the Random Forest algorithm is suitable and accurate.
Evaluasi Kualitas Layanan Website Kampus Merdeka Dengan Metode Webqual 4.0 Alam, Muhammad Ramadhan Sangisda; Ningsih, Rahayu; Wahidin, Ahmad Jurnaidi
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Based on the data from Kemdikbud Ristek, more than 60,000 students have benefited from the MSIB Kampus Merdeka program. In the first batch, there were 12,837 students from 543 universities and 121 partners. In the second batch, the number of students doubled to 24,873 from 638 universities and 152 partners. Meanwhile, in the third batch, there were 27,977 students from 645 universities with 219 partners. This study analyzes the user satisfaction of students participating in the Kampus Merdeka program, specifically at Binasarana Informatika University, focusing on website quality (usability, information, and interaction) using WebQual 4.0. The results indicate that all three website quality variables significantly influence user satisfaction (F value = 45.350 > F table = 2.69). The coefficient of determination (R Square) shows a strong relationship between website quality and user satisfaction (58.6%), with other variables outside the scope of the study explaining the remaining variance. Partially, Information Quality does not have a significant effect, while Usability Quality and Service Interaction Quality have a positive and significant impact. Overall assessment of Kampus Merdeka website satisfaction is predominantly rated as good (51%) and very good (46%), indicating the need for improvement in terms of usability and website interaction.
Rancang Bangun Aplikasi Gatepass dan Exit Clearance Berbasis Web Karisa, Veve
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Rapid technological advancements have transformed the operational processes of companies, shifting from manual to technology-dependent systems. PT Cladtek Bi-Metal Manufacturing faces the need to leverage technology, particularly in the gatepass and exit clearance processes for all employees. Previously, these processes are managed manually, resulting in lengthy procedures, accumulation of physical documents, potential documentation errors for audit purposes, and excessive paper usage with environmental impacts. Gatepass is used for employees requiring permission to leave the company during working hours, while exit clearance is a mandatory procedure for employees before permanently leaving the company, involving the return of company assets. By transitioning to digital recording, this study successfully produced a web-based application using the prototype method.The results of this study certainly make a positive contribution by simplifying the gatepass and exit clearance process for all employees, by transitioning from manual to digital recording.

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