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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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Optimizing Hospitality Choices: A Forward Chaining and Certainty Factor-Based Expert System for Recommending 4-Star Hotels in Batam City Caniago, Deosa Putra; Simatupang, Devid Trinaldo; Kurnia, Okki; Septiana, Reski; Sekar, M. Y. Meinadia
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3658

Abstract

Tourism and travel is the largest industry in the world with hotels as a key factor in enjoying a holiday. As the cornerstone of tourism, the hotel industry continues to develop to meet increasingly high customer expectations. The application of high technology is the key to competition between hotels, with several hotels moving towards an innovative and efficient "smart hotel" concept. This research explores the hotel industry in Batam as a unique tourism destination and industrial center. The main focus includes analyzing the level of technology adoption in Batam hotels, identifying trends and factors driving the “smart hotel” concept, and developing expert system models to improve the tourist experience. By combining the two methods of Forward Chaining and Certainty Factors in an Expert System, it is hoped that the results of this research can provide important insights regarding the development of the hotel industry in Batam and the positive impact of technology in improving the quality of service to travelers.
Implementasi Algoritma Raycasting Pada Game Psikologi Horor Irsyadul Ikhbaad, Fauzan Al; Haryoko; Bernadhed; Muhammad Fairul Filza
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3659

Abstract

Pengembangan permainan "Ngabdi: The Beginning" menggunakan Unity Engine dan bahasa pemrograman C#. Dengan fokus pada integrasi skrip sederhana yang diaktifkan melalui input mouse, teknik ray casting digunakan untuk mendeteksi benturan objek dalam scene permainan. Pengujian dilakukan untuk menentukan panjang optimal interactionRayLength, parameter kunci dalam ray casting. Hasil implementasi dan pengujian menunjukkan kesuksesan dalam mencapai kinerja optimal dan respons yang diinginkan. Dengan melakukan uji coba sebanyak 7 kali, paper ini menyajikan landasan yang kokoh untuk pemahaman lebih lanjut tentang parameter kritis dalam teknik ray casting 3D dan pengaplikasiannya dalam pengembangan permainan. Kesimpulan ini dapat menjadi panduan bagi pengembang permainan untuk memanfaatkan teknik ray casting 3D secara efektif dalam lingkungan Unity Engine.
Implementasi Pengolahan Citra Digital dalam Pengenalan Wajah Menggunakan Contrast Stretching dan Algoritma Viola Jones M.Iqbal, M.Iqbal; Imrah, Imrah Sari; Agung, Agung Ramadhanu
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): 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.v13i2.3660

Abstract

Wajah manusia merupakan salah satu bagian penting pada tubuh yang mempunyai ciri khusus yang dapat membedakan seseorang. Perbedaan ciri dari wajah seseorang dapat diidentifikasi dengan sistem pengenalan wajah (face Recognition). Kemajuan teknologi dalam pengenalan wajah memberikan dampak dalam berbagai sektor seperti keamanan, keuangan, kesehatan dan hiburan. Penelitian ini melakukan Pengenalan wajah dengan mengimplentasikan pengolahan citra digital menggunakan contrast stretching dan algoritma viola jones untuk mendapatkan nilai akurasi yang baik dalam pengenalan wajah dengan bantuan aplikasi Matlab. Dari hasil penelitian dalam pengenalan wajah diperoleh hasil akurasi yang akurat yaitu mencapai 91,89% dan hasil identifikasi pengenalan wajah pada citra sesuai.
A Review to Smart Grids Bezas, Konstantinos; Tsiridis, Marios; Filippidou, Foteini
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3663

Abstract

This paper is the result of an extensive study, comparison, and analysis of academic articles and research related to smart grids and the solutions they offer to enhance the efficiency, reliability, and sustainability of modern electrical power systems. It presents a comprehensive analysis of the progress made in recent years in smart grid technologies, including architecture, communication infrastructure, control strategies, and the integration of renewable energy sources. Additionally, the benefits and advantages of adopting smart grids are explored and presented, along with the challenges arising from their use. There is also a reference to the future prospects of using smart grids and how they can impact human life. Following this, there is an analysis of the two most critical elements of smart grids, namely Energy Management Systems (EMS) and Advanced Metering Infrastructure (AMI). Finally, some conclusions are drawn regarding the use of smart grid systems, and a personal opinion is expressed.
Implementation of the VIKOR Method and Analytical Hierarchy Process (AHP) in Prioritizing the Recipients of Uninhabitable House Assistance Funds (RTLH)” Armonitha, Shary; Rahmansyah, Nugraha
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3665

Abstract

Uninhabitable House (RTLH) is one of the social problems often faced by the community. Funding programs for RTLH repairs are important to improve the quality of life and housing conditions of the underprivileged. However, with limited resources, prioritizing the receipt of RTLH funds is a challenge. In this study, two effective multi-criteria decision-making methods, VIKOR Method and Analytical Hierarchy Process (AHP), are implemented to prioritize the receipt of RTLH funds. The combination of these two methods is expected to provide more accurate and accountable results. It is hoped that this research can provide a more holistic and objective method in prioritizing the receipt of RTLH assistance funds. The integration of the VIKOR Method and AHP can provide benefits in making similar decisions in other social and humanitarian fields, as well as helping the government and related institutions in allocating resources more efficiently and fairly. The results of this research are expected to help decision makers prioritize the receipt of RTLH funds objectively and fairly, by considering various relevant criteria.
Enhancing Banking Sector Performance: Assessing IT Capabilities with COBIT 2019 Framework Analysis Melissa Indah Fianty
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3667

Abstract

The growth of Information Technology within companies has been following its advancements. However, the unattained objectives stem from inefficient transitional systems within the company, leading to inaccurate data and project delays, consequently hindering the fulfilment of corporate expectations. This study aims to offer developmental recommendations through the assessment of IT governance capabilities. The measured capabilities reveal that objectives within processes BAI03, BAI05, and APO03 are stagnant at level 2. The findings from these processes highlight areas for improvement that can be rectified by the company. The proposed enhancements align with recommendations focusing on transitional system development and monitoring to enhance data transition efficiency, thus establishing a monitoring system to mitigate errors resulting from inefficient data transitions.
Visualisasi Data Operasi SAR BASARNAS Di Indonesia Menggunakan Google Looker Studio Asher, Jansnio; Rachmawati, Eka Putri
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): 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.v13i2.3672

Abstract

BASARNAS merupakan lembaga pemerintah Indonesia yang bertanggung jawab dalam melakukan kegiatan pencarian dan penyelamatan (SAR) di berbagai situasi darurat, bencana alam, kecelakaan, maupun kondisi lain yang memerlukan pertolongan evakuasi. Basarnas menghadapi tantangan besar terkait pengelolaan data dalam operasi SAR. Volume data yang terus meningkat dari berbagai sumber, seperti laporan kejadian, informasi geografis, dan status korban, membutuhkan pendekatan yang sistematis untuk mengelola, menganalisis, dan menyajikan informasi tersebut secara efektif. Manajemen data yang efisien, dalam operasi SAR, menjadi hal penting. Manajemen data menggunakan Google Sheets untuk membuat, memperbaharui dan memodifikasi dataset merupakan teknik yang mampu menyelesaikan masalah situasi darurat. Tujuannya adalah untuk membuat visualisasi data berupa dashboard kantor daerah SAR BASARNAS di Indonesia menggunakan Google Looker Studio. Berdasarkan hasil visualisasi, kantor SAR yang sering menangani kecelakaan pesawat udara, kecelakaan kapal, bencana, kondisi membahayakan manusia, dan kecelakaan penanganan khusus dengan 792 kejadian adalah Surabaya sedangkan yang mengavakuasi korban paling banyak total 29.049 korban adalah Makassar.
QR Code-Based Smart Document Implementation Using Distributed Database And Digital Signature Ayub, Waqas; Winarno, Idris; Sudarsono , Amang
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3673

Abstract

In digitized world, digital documents are essential for information sharing. However, some organizations continue to place their reliance in traditional hard-copy formats concerning about the legitimacy of documents. This study presents an innovative approach to document verification with digital signatures, distributed databases, and QR codes. Using a two-step process for data integrity and document authentication, the study approach entails developing a Smart Document with a QR code and digital signature. For increased security and scalability, the system design distributes hash fragments among several databases using the hash split approach. The system's excellent performance, resistance to sluggish HTTP-based attacks, and effectiveness in document verification are highlighted by the results and debates. The report ends with recommendations for future improvements to strengthen the system's resilience, like implementing more secure database engines and enhancing fault tolerance. In conclusion, this method offers a viable way to verify documents in hardcopy and electronic formats in a secure and scalable manner.
Identifikasi Pengolahan Citra Pada Face Detection Menggunakan Metode Median Filtering dan Viola-Jones Sandiva, Tesa Vausia; Yemi, Leonardo; Ramadhanu, Agung
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): 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.v13i2.3675

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pengolahan citra pada sistem deteksi wajah (Face Detection) dengan memanfaatkan metode Median Filtering dan Viola-Jones. Metode Median Filtering digunakan dalam tahap preprocessing untuk mengurangi noise dan meningkatkan kualitas citra, khususnya dalam mengatasi noise seperti salt & pepper. Selanjutnya, metode Viola-Jones diterapkan sebagai metode utama untuk mendeteksi wajah, memanfaatkan Haar Like Feature, Integral Image, Adaboost Learning, dan Cascade Classifier. Penelitian ini mencapai tingkat akurasi keberhasilan deteksi wajah sebesar 90%, menunjukkan efektivitas kombinasi kedua metode dalam meningkatkan performa sistem. Hasil penelitian ini diharapkan dapat memberikan kontribusi positif terhadap perkembangan teknologi pengolahan citra, khususnya dalam aplikasi pengenalan wajah dengan tingkat akurasi yang tinggi.
Behavioral Discrimination in Chicken Flocks: A Camera-Based Movement Analysis for Distinguishing Normal and Scared Behaviors Piko Permata Ilham Prasetyo; Wahjoe Tjatur Sesulihatien; Ali Ridho Barakbah
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3676

Abstract

Assessing chicken behavior in coops is crucial for high-quality meat production and stress prevention. This paper introduces an innovative system for evaluating behavior in chicken flocks by integrating collective area and its rate of change, surpassing traditional metrics like individual chicken distance walked, velocity, and acceleration. The novelty lies in simultaneously using multiple methods, providing a nuanced understanding of chicken responses and enhancing precision in behavior discrimination. The proposed system utilizes camera-based movement analysis, employing procedural image processing and data association for early detection and intervention in closed cage systems. This cost-effective solution is accessible to local farmers, contributing to improved poultry farming practices. The hardware setup includes a camera with a 470 nm bandpass lens, yielding computable results suitable for procedural system processes, especially in streamlining thresholding image processing.

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