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Tri A. Sundara
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tri.sundara@stmikindonesia.ac.id
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ijcs@stmikindonesia.ac.id
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Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
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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 37 Documents
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Search results for , issue "Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science" : 37 Documents clear
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.
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.
Implementasi Metode PROMETHEE Dalam Menentukan Prioritas Perbaikan Daerah Aliran Sungai Pada Provinsi Riau Shandy Merdya Pratama; Mardainis; Nasution, Torkis; Efendi, Yoyon; Haryadi, Octadino
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.v12i3.3222

Abstract

Dinas PUPRPKPP Provinsi Riau merupakan suatu institusi pemerintah yang bertugas menangani prasarana infrastruktur seperti jalan, jembatan, gorong-gorong, daerah aliran sungai, trotoar dan penerangan jalan yang berhubungan dengan kegiatan masyarakat sehari-hari. Salah satu proses yang dijalankan adalah prioritas perbaikan daerah aliran sungai, dimana penanganan saat ini masih memakan waktu yang lama mulai dari survei hingga pengerjaan. Oleh karena itu agar memudahkan dalam penentuan prioritas perbaikan daerah aliran sungai maka dibuatlah sebuah sistem pendukung keputusan yang berbasis mobile web. Sistem ini dekembangkan menggunakan metode Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). Metode ini adalah metode penentuan terbobot, dimana proses pembobotan diberikan kepada masing-masing kriteria serta subkriteria hingga didapat sebuah rangking pembobotan. Alternatif yang memiliki nilai bobot tertinggi adalah alternatif pilihan yang memiliki nilai prioritas tertinggi.
Bibliometric Computational Mapping Analysis of Learning Video in Beauty Field (Vocational High School & University) Using VosViewer Chairani, Vici Syahril
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.v12i3.3223

Abstract

This study aims to analyze the use of learning videos in Beauty Vocational Schools and Beauty study programs at the University level between 2013 and 2023 using bibliometric computational mapping analysis methods. Publish or Perish (PoP) software was used to collect publication data from the Google Scholar database using the keywords "Video Tutorial" AND "SMK" AND "Beauty". The search through Publish or Perish resulted in 285 articles. After elimination and rechecking, 78 articles were analyzed using VosViewer. The analysis results show that the number of publications related to this topic between 2013-2023 is still small, the highest number of publications occurred in the year "2022" with a total of "28" articles, while the lowest was in the year "2013-2015", where each year only "1" article was published. Keyword co-occurrence analysis using VOSViewer resulted in 12 terms grouped into 5 clusters. Network and density visualization showed several keywords that frequently appeared, namely video tutorials, video tutorial media and learning media. In addition, the overlay visualization illustrates keywords that have been trending in recent years namely video, video tutorial, learning video and learning media. Based on data analysis, it can be concluded that research related to the creation and utilization of video tutorials in learning in the field of beauty is still very little and not varied. There are still many subjects in Beauty Vocational Schools or courses in Beauty study programs that do not have video tutorials. This is an opportunity for academics and researchers in the field of Beauty.
Aplikasi Mobile Media Pembelajaran Untuk Siswa TK RA Teknologi Menggunakan Metode Fisher Yates Shuffle Rikko kurnia fitra; Erlinda, Susi; T.Sy Eiva Fadha; Hamdani; Andri Setiadi
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.v12i3.3226

Abstract

Penelitian ini bertujuan untuk menghasilkan media pembelajaran untuk pendidikan anak usia dini yang berbasis android, dapat membantu peranan orang tua dalam mendidik anaknya sejak usia dini serta memberikan pengetahuan kepada anak-anak di luar sekolah dengan cara yang menyenangkan melalui aplikasi ini. Metode yang digunakan pada penelitian ini adalah dengan menggunakan model pengembangan aplikasi Multimedia Development Life Cycle (MDLC) yang terdiri dari concept, design, collecting content material, assembly, testing, dan distribution.Dari hasil penelitian yang telah dilakukan adalah aplikasi pengenalan huruf, angka, warna, dan bernyanyi yang berbasis android ini memilik 4 menu utama yaitu, belajar, kuis, dan bermain. Pada menu belajar terdapat pengenalan huruf abjad, angka, warna, dan hewan di menu kuis terdapat pertanyaan dengan kata yang di acak, dan menu bermain terdapat permainan. dari pengujian black box bahwa game edukasi pengenalan huruf dapat berjalan sesuai yang diharapkan, pada pengujian perangkat rata-rata tampilan dan fitur berjalan sesuai yang diharapkan, dan pada pengujian pengacakan soal menggunakan perangkat berbeda telah berjalan sesuai yang diharapkan.
Implementasi Machine Learning dengan Algoritma Naive Bayes Terhadap Sistem Informasi Pelayanan Pemberkasan Kepegawaian di BKPSDM Kota Palembang Algiffary, Arief
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.v12i3.3227

Abstract

BKPSDM Kota Palembang saat ini menghadapi tantangan dalam pelayanan pemberkasan kepegawaian yang kurang efektif dan efisien. Penelitian ini berfokus pada pengembangan sistem informasi yang memanfaatkan metode machine learning dengan algoritma Naive Bayes untuk mengklasifikasikan berkas kepegawaian yang dimasukkan. Metode ini diharapkan dapat mempermudah pegawai dalam mengajukan berkas dengan mengurangi kesalahan saat pengunggahan dan mempercepat proses pengajuan. Temuan penelitian menunjukkan bahwa sistem informasi yang diimplementasikan algoritma Naive Bayes berhasil mencapai tingkat akurasi yang sebesar 95,83% dalam mengklasifikasikan berkas kepegawaian dengan tepat. Penelitian ini memberikan kontribusi yang signifikan dalam meningkatkan kualitas pelayanan pemberkasan kepegawaian di BKPSDM Kota Palembang, serta diharapkan mampu memberikan landasan bagi pengembangan sistem informasi serupa dalam konteks e-Government.

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