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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,106 Documents
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Motivation to Use Gamification Elements in E-Learning for Formal and Non-Formal Education Afirando, Rio; Santoso, Harry Budi; Junus, Kasiyah; Putra, Panca O. Hadi; Lawanto, Oenardi
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3151

Abstract

The implementation of gamification in e-learning is not new, both within the context of formal and informal. Formal education is a learning activity organized by both public and private parties that refers to the official education system of a country. Meanwhile, informal education is another learning activity that does not refer to the official education system of a country. Not only visually appealing, but gamification elements also have a certain motivation and emotional value for the user. This study seeks to compare the use of gamification elements and their motivation between formal and nonformal education. The method used was a Systematic Literature Review using the Kitchenham method. From the selected databases, 65 articles were obtained that had implemented gamification in e-learning. The gamification elements were grouped by motivation and emotion based on the Octalysis framework. The results showed that ownership and possession were the most prominent motivations for implementing gamification.
Instrumental Music Emotion Recognition with MFCC and KNN Algorithm Santoso, Tri Budi; Dutono, Titon
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3152

Abstract

Every piece of music contains emotion in every sound presented. Detection of the music emotion is quite difficult to do because the emotions felt are subjective. Based on this problem, it is necessary to have an automatic classification system to detect the emotions produced in music. In this paper, an explanation of the result to develop an emotional classification system of instrumental music. This system described the process starting with the receiving an input in the form of a music file in the format wav. Furthermore, the feature extraction process is carried out using Mel-Frequency Cepstral Coefficients (MFCC). The result of the extraction of such features are used in the classification process using the K-Nearest Neighbor (K-NN). The system produced output in the form of happy, relaxed, and sad emotions. The output of the system has a classification achieved an accuracy of 97.5% for the value of k = 1, reaching an accuracy of 95% for the value of k = 2.95% and for k = 3, reaching an accuracy of up to 90%.
Analisis Load Balancing Round Robin dan Fault Detection pada Software Defined Network Berbasis P4 Setiawan, Yanto; S, Rizal Cerdas Kurniawan; Mahesa Farosh, Gamel
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3153

Abstract

Tujuan penelitian ialah mengoptimalkan kinerja server pada jaringan Software Defined Network berbasis P4 language dengan menerapkan load balancing round robin. Metode penelitian dibagi menjadi identifikasi masalah, perancangan dan implementasi, pengujian dan analisa. Load balancing adalah mekanisme yang digunakan untuk membagi workload pada beberapa server yang dijalankan dengan tujuan untuk mengoptimalkan resource yang ada, meningkatkan nilai throughput, serta meningkatkan kinerja server agar tidak mendapatkan workload berlebih yang dapat menurukan kualitas layanan. Hasil Penelitian adalah throughput pada implementasi 4 server memiliki nilai rata-rata 632,09Kb/s, 3 server memiliki rata-rata 632,14Kb/s, dan 2 server memiliki rata-rata 632,10Kb/s. Hasil pengukuran request loss pada implementasi 4 server memiliki nilai rata-rata 0%, 3 server memiliki rata-rata 0%, dan 2 server memiliki rata-rata 0%. Hasil pengukuran response time pada implementasi 4 server memiliki nilai rata-rata 3.9ms, 3 server memiliki rata-rata 0,73ms, dan 2 server memiliki rata-rata 0,87ms. Hasil pengukuran fairness index pada implementasi pada server yang diuji memiliki nilai rata-rata 1. Disimpulkan beban kerja pada masing-masing server load balancing round robin dengan fault detection dapat mengoptimalkan kinerja server.
Analisis Sentimen Pengguna Sosial Media Twitter Terhadap Perokok Di Indonesia Dewi Setiyawati; Cahyono, Nuri
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3154

Abstract

One of the tools web users use to access, share, and discuss subjects of interest is social media. One social networking site, Twitter, is often used in real time to communicate this. Due to its significant negative impacts on both health and the economy, smoking is still a topic of regular debate and debate in Indonesia. This research was conducted to assess sentiment towards smokers and differentiate between positive and negative emotions. The data used in this study were obtained by crawling the Twitter social media network. Three Bayes techniques (NB), Support Vector Machine (SVM), and Logistic Regression are used in this study. In this study, 40.25% of Twitter users agreed with the existence of smokers in Indonesia, while 59.74% disagreed. The Naive Bayes method was used in this study, giving the highest accuracy value = 62.1% using 60% training data and 40% test data.
Analisis Topic Modelling Persepsi Pengguna Internet Menggunakan Metode Latent Dirichlet Allocation Angga Reni Dwi Astuti; Cahyono, Nuri
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3155

Abstract

Technological advances have undoubtedly had a major impact on information media. One impact of technological progress is the existence of news media as a source of publik information. There is also regional information, both domestic and foreign, and of course there are various discussions. News data from online news portals can be used as a source of information as a source of research and analysis. Of course, newa portals cover all types of news on various topics. Indentifying frequently discussed topics on news portal will denfinitely take a lot of time. Therefore, this research focuses on applying a topic modelling system to implement a news topic decision system using the Latent Dirichlet Allocation (LDA) method. This research successfully applies the Latent Dirichlet Allocation (LDA) method in determining news topics, of which there are three topic categories that are often discussed on the online news portal detik.com. topic 1 contains natural disaster event, topik 2 contins political figures and issues, topik 3 conttains news about the world cup.
An Encryption Approach Based on Formal Method for Securing Distributed Big Data Storage in Cloud Environment Hassan, Anah Bijik; Boukari, Souley; Yau Gital, Abdulsalam; Abdulhamid, Mohammed
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3157

Abstract

Cloud computing is the technology used to store massive amounts of data (Big data) on Servers which locations are unknown to the user of the service. One of the major source of concern in security and privacy is the fact that cloud operators have chances to reach the sensitive data. This makes Cloud computing adoption by organizations with users’ sensitive details including the banking sector and government agencies marred by resentment. Therefore, a cryptography approach is proposed, named Secured Efficient Distributed Storage SecDcloud) model that is designed to obtain an efficient mass distributed service, and is supported by the Modified Alternative Data Distribution (MAD2) Algorithm Modified Secured Data distribution (MSED2) Algorithm as well as Improved Data Conflation (IDCon) Algorithm based on formal method. Our proposed mechanism aims to split, encrypt sensitive data and store the data to the different cloud servers without causing big overheads using formal method which prevents cloud service providers from directly accessing the user’s data. Our experiments, evaluated on security and efficiency of our technique, and is compared with state of the art Advanced Encryption Standard(AES) Algorithm and the results show that it is capable of effectively defending against the most common cloud-based threats while still maintaining a reasonable amount of processing time.
Penerapan Design Thinking Dalam Perancangan User Interface Website Smarteye Virtual Convention Center Asharudin, Firman; Supriatin, Supriatin; Nur’aini; Sidik, Abdul Djafar
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3158

Abstract

Industri event yang pada umumnya melibatkan banyak orang berkumpul di venue tertentu, terpaksa harus ditiadakan untuk mencegah penyebaran pandemi pada saat pandemi Covid-19. Berdasarkan riset yang dilakukan telah terjadi 96,4 persen penundaan dan 84,8 persen pembatalan acara di 17 provinsi di Indonesia. Dari hasil observasi dan studi literatur di lanjutkan pengembangan dengan 5 tahap dalam metode design thinking meliputi empati, mendefinisikan, ide, prototipe, dan pengujian. kemudian di lanjutkan dalam tahap pengujian usability menggunakan System Usability Scale (SUS). Hasil yang di peroleh dari system usabillity scale (SUS) pada platform smarteye virtual convention center (SVCC) dapat di terima dan digunakan oleh masyarakat Indonesia, hal ini dibuktikan dengan hasil rata-rata 77 skor (SUS), dan hingga saat ini platform tersebut telah banyak menggelar virtual event mulai dari konferensi, webinar, dan expo.
Does Free Shipping Affect Purchasing Decisions in E-commerce in Indonesia? Rabbani, Maheswara; Hermawan, Jeremy Hermon; Utomo, Kawang; Gunawan, Raveldy Guinzy; Wijaya, Theresa Karyn
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3159

Abstract

The trend of buying and selling goods online using e-commerce platforms has become part of the lifestyle of Indonesian people in recent years. E-commerce business people prepare ways or strategies so users can feel enthusiastic when shopping. However, shipping costs are one of the primary considerations for users before making payments. Users are required to spend more than the price of the goods to pay for the shipping costs. Meanwhile, not all users are willing to pay for shipping costs because they don't save on spending costs. This study aims to understand whether someone's purchase decision in e-commerce is influenced by free shipping. The study's results reveal that free shipping costs affect a person's purchasing decision to buy goods online in e-commerce. In addition, there are four other factors that influence purchasing decisions in e-commerce, namely product completeness, price variation, cashback promo, and ease of use.
Penerapan Machine Learning Clustering K-Means dan Linear Regression Dalam Penentuan Tingkat Resiko Tuberkulosis Paru Ula, Mutammimul; Zulfikri, Abdi; Ulva , Ananda Faridhatul; Rizal, Reyhan Achmad
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3162

Abstract

Penyakit tuberkulosis paru yang paling banyak disebarkan oleh bakteri Mycobacterium dan tipe penyakit ini menular pada bagian paru. tercatat pada tahun 2019 tercatat ada sekitar 400.000 jiwa penduduk Bireuen dengan jumlah kasus sekiar 755 jiwa yang menderita penyakit TB paru. Penelitian ini bertujuan untuk melihat daerah rawan terkena penyakit TB paru dan prediksi berdasarkan pertumbuhan penduduk. Data Penelitian diambil dari rumah sakit dr Fauziah Bireun Dinas kesehatan yang terdapat pada 17 Kecamatan. berdasarkan hasil tersebut terdapat hasil analisis dalam melihat daerah yang tersebar penyakit Tb Paru menggunakan algoritma K-Means dan Metode Clusterwise Regression. Hasil yang diperoleh dalam pengklusteran daerah rawan tuberkulosis paru yang terdapat dua daerah yang tergolong ke dalam cluster satu, enam daerah tergolong ke dalam cluster dua dan sembilan daerah tergolong ke dalam cluster tiga.Hasil prediksi dengan algoritma Regresi Linier 0,5740 dan hasil prediksi berpengaruh terhadap variabel lain adalah 9,481456817. Hasil penelitian ini dapat dijadikan rujukan dinas kesehatan dalam menindaklanjuti penyakit paru.
Presensi Perkuliahan Menggunakan Teknologi Beacon Bluetooth Low Energy Rahim, Abdul; Pareza Alam Jusia
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3163

Abstract

Presensi perkuliahan merupakan kegiatan untuk pencatatan kehadiran mahasiswa dalam proses belajar mengajar. Diantara kendala dalam proses presensi perkuliahan di kelas adalah bagaimana memastikan bahwa presensi kehadiran memang benar dilakukan oleh mahasiswa yang berada di kelas perkuliahan tersebut. Penelitian ini bertujuan untuk menerapkan teknologi beacon bluetooth low energy (ble) pada presensi perkuliahan dikelas. Beacon merupakan perangkat kecil yang memancarkan sinyal melalui bluetooth yang berisi informasi tertentu. Di penelitian ini penulis memanfaatkan perangkat smartphone milik dosen sebagai pemancar beacon dan perangkat mahasiswa sebagai pemindai beacon. Metode penelitian di penelitian ini meliputi analisis kebutuhan dan tuntutan dari pengguna, studi literatur mengenai teknologi bluetooth maupun beacon dan aplikasi presensi, serta perancangan dan uji coba. Hasil dari penelitian ini menunjukkan bahwa presensi menggunakan beacon ble yang dibuat dapat berjalan dengan baik dan presensi perkuliahan menjadi lebih praktis. Dengan memanfaatkan teknologi beacon ble, aplikasi yang dibuat dapat mendeteksi jarak antara perangkat dosen dan perangkat mahasiswa. Dengan aplikasi ini, dosen dapat mengetahui jarak antara dirinya dengan mahasiswa yang telah melakukan presensi

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