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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 1,127 Documents
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Klasifikasi Tinggi Badan Menggunakan Metode Mask R-CNN Permana Sanusi, Amadea; Fariza, Arna; Setiawardhana
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3348

Abstract

Tinggi badan adalah parameter penting saat memasuki sebuah wahana. Penggunaan alat keselamatan saat bermain wahana permainan tidak akan maksimal jika wisatawan tidak memiliki tinggi badan yang sesuai dengan kriteria untuk memasuki wahana tersebut. Dalam penerapannya, seleksi wisatawan yang diperbolehkan masuk ke dalam wahana permainan masih menggunakan pengukuran tinggi badan secara manual. Penelitian ini bertujuan untuk mengurangi resiko terjadinya kecelakaan pada kendaraan dengan mengklasifikasikan dan mengimplementasikan sistem otomasi menggunakan pendekatan deep learning. Penggunaan deep learning yang berkembang saat ini dapat digunakan untuk mengklasifikasikan pengunjung. Penelitian ini mengusulkan proses klasifikasi tinggi badan menggunakan metode Mask R-CNN yang dapat digunakan untuk melakukan klasifikasi lebih dari satu orang, sehingga mempercepat antrean wisatawan pada wahana permainan. Hasil pengujian menunjukkan bahwa model Mask R-CNN yang dibangun berhasil mengklasifikasikan objek dengan memberikan bounding box, masking, dan label yang sesuai dengan objek. Membangun model Mask R-CNN sangat dipengaruhi oleh variatif gambar pada dataset dan proses anotasi gambar di dalam dataset. Evaluasi model menunjukkan hasil perhitungan mAP yang didapatkan sebesar 71%. Penelitian ini telah memenuhi tujuan utama dalam penelitian karena model Mask R-CNN berhasil melakukan klasifikasi yang sesuai.
Klasifikasi Teks Pada Ulasan Objek Wisata di Kota Pagar Alam Menggunakan Pendekatan Machine Learning Dewi, Nadiya Citra
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3349

Abstract

Tujuan dari penelitian ini adalah untuk menghasilkan Klasifikasi Teks Pada Ulasan Objek Wisata di Kota Pagar Alam Menggunakan Pendekatan Machine Learning. Latar belakang Penelitian ini yakni belum adanya pengolahan data teks pariwisata kota Pagar Alam Pada halaman Google Review sehingga belum ada klasifikasi teks ulasan positif dan negative terhadap wisata Kota Pagar Alam Penelitian ini akan menggunakan wisata gunung dempo kota Pagar Alam dengan Jumlah data yang didapatkan sebanyak 521 data dari metode web scrapping dengan Bahasa pemrograman python. Metode yang digunakan K-Nearest Neighbor (K-NN). Teks diolah Menggunakan Bahasa Pemrograman Python 3 dengan bantuan Google Colab untuk melakukan Cleansing, Tokenizing, Filtering, Stemming, case folding dan stop words hingga ke TF-IDF Adapun simpulan yang dapatkan dalam penelitian ini adalah frekuensi kemunculan text yang paling yakni text “keren” dan “indah” dengan nilai TF IDF 25,15 dan 24,47. Dadapatkan juga klasifikasi text ulasan positif sebanyak 455 dan ulasan negative sebanyak 66. Kemudian didapatkan akurasi tinggi yakni sebesar 87 % hal ini menunjukan bahwa klasifikasi text pada ulasan wisata gunung dempo kota Pagar Alam sangat baik dengan nilai akurasi 87 %.
Decision Support System for Determining the Best Online Learning Application Using the Weighted Product Method (WPM) Yeka Hendriyani; Mariani; Rahmatika, Hayati; Akbar Ilahi; Hardeyenti, Dessy
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3352

Abstract

This article discusses the use of the Weighted Product (WP) Method in a Decision Support System to determine the best online learning application. The goal is to help users choose a learning app that suits their needs and preferences. Relevant criteria, such as user interface, learning content, interactive features, difficulty level, and subscription price, are identified and assigned relative weights. This study uses data from various online learning apps to train the WP model and rank the apps based on the highest scores. The experimental results show that the WP method successfully identifies the best online learning apps with high accuracy, allowing users to have an effective and efficient learning experience according to their individual goals. Thus, this SDM can be an effective guide for users in making informed decisions to meet their education and learning needs
Performance Evaluation IT Governance on Universities: COBIT 2019 Approach with Measurement Capability Levels Marcela, Elisabet Dela; Melissa Indah Fianty
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3353

Abstract

The utilization of the Peoplesoft Campus Solution (MyUMN) technology, which has become excessively outdated, necessitates an evaluation, development, and rejuvenation of MyUMN to address any occurring issues with definitive solutions. An assessment of the Information Technology governance capability level is carried out using the COBIT 2019 framework. This research focuses on the following specific objectives: BAI03 (Managed Solutions Identification and Build), BAI06 (Managed IT Changes), and BAI07 (Managed IT Change Acceptance and Transitioning). The measurement results reveal that the capability levels for all three objectives are at level 2, while the targeted capability level is at level 4. Consequently, there exists a gap between these two levels. Recommendations encompass prioritizing the documentation of application development and conducting routine reviews of all completed change requests to ensure the alignment of change requests
Evaluation of Countinance Stake on the Implementation of Project Based Learning in the Automotive Engineering Department fajar, Fajar Riyaddi; Waskita; Ambiyar; Lapisa, Remon
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3354

Abstract

Evaluation as an action to find out or an attempt to see the extent to which the goals set have been achieved. In other words, the goal is a tool to determine the success of the learning process that occurs between educators and students. The purpose of this study was to look at the results of the evaluation of project-based learning in productive subjects for students majoring in automotive at the 1 Pantai Cermin Vocational High School. This type of research is evaluative research using a qualitative approach. The evaluation method used is the STAKE method, which evaluates plans, processes and results. The findings of this study, namely, that project-based learning has been implemented for students in the automotive major at Pantai Cermin Vocational High School 1 found that the implementation of project-based learning still has deficiencies in terms of preparation and results. Viewed from the preparation aspect, it was found that the project delivery from the teacher was unclear and not specific, while from the results aspect, the projects undertaken were still limited to video tutorials that had not been published. The conclusion from this research is that project-based learning still needs careful planning to match the expected results or objectives.
Deteksi Kondisi Gigi Manusia pada Citra Intraoral Menggunakan YOLOv5 Makarim, Ahmad Fauzi; Karlita, Tita; Sigit, Riyanto; Dewantara, Bima Sena Bayu; Brahmanta, Arya
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3355

Abstract

Proses identifikasi dan pencatatan rekam medis pada praktik kedokteran gigi masih dilakukan secara manual. Akibatnya, proses tersebut memakan waktu yang cukup lama. Pada penelitian ini metode deteksi objek dimanfaatkan untuk membantu dokter melakukan identifikasi pada gigi pasien. YOLOv5 dipilih untuk dilatihkan pada dataset citra intraoral dengan lima kelas kondisi gigi (normal, karies, tumpatan, sisa akar, dan impaksi). Dataset yang digunakan berjumlah 1.767 data citra intraoral yang diambil dan dilabeli oleh dokter gigi. Dataset dibagi menjadi tiga bagian, 10% digunakan untuk data testing dan 90% digunakan untuk data training dan validation. Dilakukan komparasi performa berdasarkan nilai metrik evaluasi terhadap tiga jenis model YOLOv5 (S, M, L). Dari hasil pelatihan, YOLOv5 M sebagai model terbaik mendapatkan nilai mAP sebesar 84%, dan 82% nilai akurasi testing. Penelitian ini telah memenuhi tujuan utama untuk membangun sebuah model deep learning yang robust untuk mendeteksi dan mengklasifikasi beberapa kondisi gigi pada manusia.
Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT Joniwarta; Priatna, Wowon; Hamdani, Asep R.; Alexander, Allan D.
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3356

Abstract

Implementation of Fuzzy Logic in the IOT-Based Mineral Water pH Control System for various existing bottled mineral water products, this system can measure the pH value, to find out if the value is still within the limits suitable for consumption or not based on government regulations. The public finds it challenging to understand the level of the pH value of the product because the current state of information regarding the pH level of mineral water generally is not listed in the mineral water bottle circulating on the market. Hardware design, application design, and hardware and software integration were the three steps of this research project. The pH value will be read by this control system from the output of the sensors then the data is collected into a data set. The data will be examined for trends using fuzzy logic, which will be used to classify the maximum and minimum pH levels, acidity levels, and base levels. The study's findings show that an internet-based web of things can access the mineral water pH control system to ascertain each mineral water product's pH value and temperature. This information can then be used by consumers to ascertain the pH level of each mineral water product.
Model of Vocational Madrasah Based Student Entrepreneurship Skill Development Through Religious Values Tuti Kamila Sukma; Nur Wahid, Reza; Putri, Jessica Aulia; Evanita, Susi; Friyatmi
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3359

Abstract

The mission of MAN 1 Kota Bukittinggi, a vocational school that instills strong religious values in its students, is to develop students with entrepreneurial insights and vocational skills needed for future survival, as well as an entrepreneurial spirit in accordance with Islamic law. This research seeks to investigate the techniques and methods used by MAN 1 Kota Bukittinggi, a vocational madrasah, in developing the entrepreneurial character of its students while preserving Islamic teachings. This study uses a descriptive-qualitative methodology, by combining interview techniques and field observations. The results of the study show that by educating students starting from religious observance, personality development, application of self-discipline, creativity, and self-confidence and strong responsibility as an entrepreneur, as well as by providing insight and skills that must be mastered, students can be directed to enjoy the world of entrepreneurship.
Perancangan UI/UX Sistem V-TAX Berbasis Aplikasi Mobile dengan Metode Human Centered Design (HCD) di Badan Pendapatan Daerah Kota Palembang Ihsan, Muhammad; Putra, Pacu; Meiriza, Allsela; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3361

Abstract

Pajak merupakan sumber pendapatan utama bagi pemerintah yang harus dibayar oleh individu kepada pemerintah sebagai kontribusi keuangan untuk membiayai pengeluaran publik dan layanan oleh pemerintah kepada masyarakat untuk kemakmuran rakyat. Pada penelitian ini dilakukan perancangan UI/UX sistem V-TAX berbasis aplikasi mobile di Badan Pendapatan Daerah (BAPENDA) Kota Palembang untuk membantu wajib pajak mengakses informasi pajak, mengajukan surat permohonan pengurangan dan keberatan pajak, serta melakukan pembayaran pajak dengan mudah dan cepat. Penelitian ini menggunakan metode Human Centered Design (HCD) dengan menggunakan aplikasi Figma dalam membuat perancangan UI/UX. Pengumpulan data dilakukan dengan cara observasi melalui penyebaran kuesioner, lalu dilakukannya brainstorming melalui diskusi dengan beberapa pegawai dalam memberikan ide-ide perancangan UI/UX. Kemudian, hasil perancangan UI/UX yang telah dibuat dievaluasi menggunakan metode End User Computing Satisfaction (EUCS) agar sesuai dengan kebutuhan wajib pajak.
Klasifikasi Daun Herbal Menggunakan Metode CNN dan Naïve Bayes dengan Fitur GLCM Adela Regita Azzahra; Purnawansyah; Darwis, Herdianti; Widyawati, Dewi
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3362

Abstract

Tanaman herbal menunjukkan variasi berbagai ukuran dan bentuk yang berbeda untuk setiap jenis. Penelitian ini bertujuan untuk mengklasifikasikan citra daun dari daun katuk (Sauropus Androgynus) dan daun kelor (Moringa). Dalam penelitian ini digunakan Gray Level Co-Occurrence Matrix (GLCM) untuk mengektraksi fitur contrast, correlation, homogeneity, dissimilarity, dan Angular Second Moment (ASM). Adapun pada klasifikasi diterapkan metode Convolutional Neural Network (CNN) dan Naïve Bayes dengan kernel Gaussian, multinomial, dan Bernoulli. Jumlah citra yang digunakan dalam riset ini adalah 480 citra, dengan perincian 80% untuk data training dan 20% sebagai data testing. Berdasarkan hasil pengujian dan perbandingan yang telah dilakukan didapatkan kesimpulan bahwa penerapan metode CNN tanpa ekstraksi fitur terbukti lebih efisien dalam proses klasifikasi citra daun herbal, dengan nilai precision, recall, f1-score dan accuracy mencapai 98% pada situasi cahaya terang.

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