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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 1,170 Documents
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Using Quality Measures During the Software Development Process: Case Study of Cameroonian Software Industry Oumarou, Hayatou; Moulla, Donatien Koulla; Kolyang, kolyang
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3208

Abstract

Many studies on software quality use a variety of techniques and tools to assess quality in IT organizations. However, it is still difficult to ensure the proper use of measures to guarantee software quality. Cameroon, like many developing countries, faces a number of challenges in its software industry including limited market size, poor infrastructure, and lack of software engineering best practices. This study evaluates the software quality measurement practices in Cameroon and identifies potential areas of improvement. This study conducted a questionnaire survey of 30 companies by identifying five main categories and nine research questions. 57% of the companies surveyed consider that the impact of the measures on the success of the project is significant, and the measurement findings are, by large, accessible to executives as well as to the staff concerned. Furthermore, the adoption of a measurement tool can improve the monitoring and management of software projects.
Studi Perbandingan Kombinasi GMI, HSV, KNN, dan CNN pada Klasifikasi Daun Herbal Alfitriana Riska; Purnawansyah; Darwis, Herdianti; Astuti, Wistiani
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3210

Abstract

Tumbuhan herbal memiliki banyak variasi yang dapat dikenali melalui ciri uniknya secara visual. Namun, cara ini sulit diterapkan pada tumbuhan yang memiliki ciri hampir sama. Penelitian ini membandingkan kinerja metode K-Nearest Neighbour (KNN) dan Convolutional Neural Network (CNN) dalam klasifikasi fitur daun herbal yang diekstraksi dengan menggunakan Geometric Moment Invariant (GMI) dan Hue Saturation Value (HSV). Dataset yang digunakan adalah dataset citra daun katuk (Sauropus androgynus) dan daun kelor (Moringa oleifera) dengan skenario citra terang dan citra gelap. Pembagian data untuk tiap skenario adalah 80% untuk training dan 20% untuk testing. Metode KNN diuji menggunakan nilai dan evaluasi kinerja KNN dan CNN meliputi accuracy, precision, recall, dan f1-score. Hasil penelitian menunjukkan bahwa CNN tanpa ekstraksi fitur dan CNN dengan kombinasi ekstraksi fitur HSV memperoleh performa terbaik dengan rata-rata nilai precision, recall, f1-score dan accuracy sebesar 98% untuk skenario gelap maupun terang.
Feature Selection in Naïve Bayes for Predicting ICU Needs of COVID-19 Patients Taslim, Taslim Malano; fajrizal; Handayani, Susi; Toresa, Dafwen
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3211

Abstract

COVID-19 is a global pandemic that requires a coordinated global response in all healthcare and national healthcare systems. Identifying patients at high risk of contracting the COVID-19 virus is crucial to increasing awareness before patients become further infected by the virus, which can cause severe respiratory illnesses requiring specialized care in intensive care units (ICUs). This study aims to predict the need for ICUs in patients infected with the COVID-19 virus. The predicted ICU requirements serve as a reference for hospitals to meet the ICU needs of COVID-19 patients. The prediction of ICU requirements for COVID-19 patients is performed using the Naïve Bayes algorithm, and particle swarm optimization (PSO) used to obtain the best accuracy values from Naïve Bayes. In the initial testing, Naïve Bayes without feature selection resulted in an accuracy rate of 74.75%. Testing Naïve Bayes+PSO by increasing the number of PSO generations shows that as the number of generations in PSO increases, the accuracy rate also increases. Testing Naïve Bayes+PSO with 3000 generations and a population size of 20 shows an increase in the accuracy rate to 80.95%. Testing Naïve Bayes+PSO by increasing the population size to 40 with 1000 generations for each population size shows an increase in the accuracy rate to 80.70%.
The Digit Recognition Using Local Projection Dependent Clustering Rizka Rahayu Sasmita; Aliridho Barakbah; Achmad Basuki
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3212

Abstract

Water companies utilize water meters to measure and calculate water usage bills. However, the current process employed by PDAM requires redundant resources, as it involves taking photos of each customer's house and having other officers read the numbers from the water meter images, resulting in inefficiency. The problem is further compounded by the neglect and improper maintenance of water meters, with some being buried in garbage or soil. Additionally, officers contribute to the challenges by capturing blurry and tilted photos, hindering the accurate reading of the water meter numbers. This study applies a water meter reading system by processing water meter photos and converting them into text using image processing methods to process images and Neural Networks to perform digit recognition. The image processing process includes steps such as (1) grayscale conversion, (2) gamma correction, (3) x-Histogram Projection, (4) White Temporal Ascent Accumulation, and (5) Peak Identification. Furthermore, image segmentation techniques are applied to enhance image quality and eliminate noise using clustering methods. The segmented images are then processed by a neural network to recognize the meter digits. The system achieves a digit recognition accuracy of 75.2%, despite encountering various technical and non-technical challenges during the water meter photo capture process.
Digital Technology’s Implementation in Hybrid Learning at Higher Educational Level Monica Fransisca; Permata Saputri, Renny
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3213

Abstract

The majority of sectors are currently influenced by digital technology, including the education sector. Through the development of digital technology, a new learning model can be designed, namely hybrid learning. Hybrid learning can help the learning process, such as providing variations in learning, minimizing space and time limitations, and improving digital skills. Hybrid learning is a solution in higher education that has limited learning space but has facilities for implementing digital technology in hybrid learning. The research subjects were 36 students of educational informatics engineering department. The research method used was research and development, with ADDIE model (Analysis, Design, Develop, Implementation, and Evaluation). At the implementation stage, an effectiveness test was carried out to see the extent to which the application of digital technology in hybrid learning had an effect on the learning process. The research’s results were the implementation of digital hybrid learning technology which consists of combination face-to-face classes with e-learning moodle. Another result from this research was the value of effectiveness was obtained, which is 86.44% conducted from 36 subjects and was categorized as very effective for implementation in higher educational level.
Algoritma Minimax untuk Game Tic Tac Toe yang Menantang Thamrin, Husni; Pamungkas, Ramadhana Wahid Aji
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3214

Abstract

Algoritma minimax adalah algoritma yang digunakan untuk menentukan pilihan dengan memperkecil kemungkinan kehilangan nilai maksimal. Dalam konteks game, algoritma minimax meminimalkan kemungkinan kekalahan dan memaksimalkan kemungkinan kemenangan. Algoritma minimax dapat diterapkan dalam game berbasis papan permainan seperti tic tac toe dan catur. Penerapan algoritma minimax membuat komputer tidak terkalahkan sedangkan penggunaan metode random membuat komputer memilih langkah secara tidak logis dan dengan mudah dikalahkan. Untuk mendapatkan game yang menantang di mana pemain dapat memperoleh kemenangan, hasil seri, dan kekalahan, maka kedua metode dikombinasikan. Algoritma minimax memperhitungkan semua kemungkinan langkah pemain dan komputer sehingga waktu eksekusinya bergantung jumlah kotak kosong yang ada pada papan tic tac toe. Kompleksitas algoritma bersifat logaritmis atau O(xn). Untuk jumlah kotak kosong lebih dari 9 maka waktu eksekusi berada pada orde detik dan ketika kotak kosong berjumlah 13 waktu eksekusi berada pada orde jam. Karena itu algoritma minimax dapat diterapkan pada pada papan tic tac toe 3 x 3 namun tidak dapat digunakan pada papan 4 x 4. Untuk diterapkan pada papan 4 x 4 diperlukan perbaikan pada algoritma atau perubahan dalam penerapan algoritma.
Sistem Monitoring Kadar pH Kolam Udang Secara Real-Time Dengan Algoritma Regresi Linier Fatimah, Fajar Nur Aini Dwi; Ashari, Wahid Miftahul
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3215

Abstract

Budidaya udang merupakan salah satu komoditas utama yang sedang digencarkan oleh pemerintah. Kurangnya implementasi teknologi membuat budidaya menghasilkan hasil yang kurang maksimal. Mahalnya alat ukur dan tidak akurasinya alat ukur membuat para pengelola tambak budidaya udang tidak menerapkan teknologi pada proses budidaya. Penelitian ini nantinya akan mengembangkan sebuah algoritme yang dapat menghasilkan estimasi PH akurat dari kondisi air pada tambak udang. Sehingga dengan menggunakan alat ukur yang sederhana para pengelola tambak udang dapat menghasilkan kondisi PH yang akurat. Pengumpulan data dilakukan dengan cara mengembangkan alat ukur atau PH meter yang akan diterapkan kolam udang, proses pengukuran akan dilakukan dengan menggunakan sensor PH yang akan diproses dengan menggunakan microcontroller yaitu arduino. Pengembangkan algoritme estimasi akan menggunakan algoritme regresi linier yang dapat menghasilkan estimasi PH akurat. Diharapkan dari algoritme yang dihasilkan dari penelitian ini dapat membantu para pengelola tambak udang untuk dapat menghasilkan hasil yang lebih maksimal karena dapat mengantisipasi kondisi-kondisi yang tidak diinginkan sejak dini.
The Effectiveness of the Guided Discovery Learning Model and Project-Based Learning in the Digital Beauty Design Course Yanita, Merita; Husni, Rafikah; Jalinus, Nizwardi; Ridwan
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3216

Abstract

This study aims to look at the effectiveness of the Guided Discovery Learning (GDL) learning model and the Project-Based Learning (PjBL) model in terms of learning achievement, self-confidence, and students' critical thinking skills in the Digital Beauty Design course. This type of research is Quasi experiment. The subjects of this study were two classes of students from the Department of Cosmetology and Beauty Education, Padang State University who were randomly selected. Data analysis to test the effectiveness of the GDL model and PjBL model in terms of each dependent variable using the t test. While the data analysis technique to test the difference between the effectiveness of the GDL model and the PjBL model uses the MANOVA test. The results showed that, in terms of learning achievement, self-confidence, and students' critical thinking skills, it is known that the application of the GDL model in the Digital Beauty Design course is effective, the application of the PjBL Model in the Digital Beauty Design course is effective, and there is no difference in the effectiveness of the GDL model and the PjBL model. in the Digital Beauty Design course.
Audit Sistem Informasi Manajemen Inventory PT.ABC Menggunakan Framework COBIT 2019 Mahesa Bayu Baihaqi; Tedi Prastio, Wahyu
The Indonesian Journal of Computer Science Vol. 12 No. 4 (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.v12i4.3218

Abstract

Audit Sistem Informasi Manajemen Inventory merupakan elemen penting dalam pengelolaan risiko dan pengendalian di PT. ABC. Penelitian ini bertujuan untuk melakukan audit sistem informasi manajemen inventory PT. ABC menggunakan pendekatan GRC (Governance, Risk, and Compliance). Penelitian ini memberikan wawasan yang berharga bagi PT. ABC dalam mengoptimalkan manajemen sistem informasi mereka dengan pendekatan GRC. Dengan menerapkan pendekatan ini, perusahaan dapat mengidentifikasi dan mengelola risiko terkait manajemen inventory dengan lebih efektif, memastikan kepatuhan terhadap regulasi yang berlaku, dan meningkatkan tata kelola informasi mereka secara keseluruhan.
The Influence of Self Efficiency and Internal Locus of Control on Career Planning of Students Departement of Beauty and Cosmetology Padang State University Yanita, Merita; Giatman; Syah, Nurhasan
The Indonesian Journal of Computer Science Vol. 12 No. 3 (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.v12i3.3220

Abstract

Career planning is a process of determining activities or plans to be carried out in the future as a step towards achieving predetermined goals including knowledge and understanding of oneself, knowledge and understanding of work, and the use of correct reasoning between oneself and the world of work. . Individual career planning is influenced by several factors, including self-efficacy and internal locus of control. The purpose of this study was to determine whether there is an influence between self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University. This research uses ex post-facto method. The population in this study were 459 students of the Department of Beauty and Cosmetology, Padang State University. From a total population of 459 students, a sample of 210 students was taken. The research sample was taken 210 students taken randomly. The data collection instrument used a scale, while data analysis used multiple regression techniques. Based on the analysis of research data, the results obtained 1) there is a significant influence of self-efficacy on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 2) there is a significant influence of internal locus of control on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 3) there is a simultaneous effect of self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University.

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