cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tri A. Sundara
Contact Email
tri.sundara@stmikindonesia.ac.id
Phone
+628116606456
Journal Mail Official
ijcs@stmikindonesia.ac.id
Editorial Address
Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
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
 39   40   41   42   43 
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
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
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
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
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
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
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.
Issues and Strategies of Agile Methodology Adoption in Remote Working Environment: A Systematic Literature Review Chairina Marsya; Raharjo, Teguh
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3677

Abstract

Agile and remote work are two topics that are currently popular in the business world, especially in the information technology industry. Both have been implemented in several companies, but Covid-19 has made it more widely used. Even though remote work offers many conveniences such as saving transport time and flexibility of place, it contrasts with Agile which requires intense collaboration and communication. Some of the obstacles found in previous research were that the team had fewer opportunities for communication, a lot of time was spent on meetings, so it was easy to get distracted when working remotely. This study uses a Systematic Literature Review to answer what are the obstacles and strategies in adopting agile in remote work systems. This research found that, there are five majors factors that effected while implement remote agile; coordination, response to change, leadership, facilitating condition, and policies & guidelines.
Enhancing IT Hybrid Projects in The Directorate General Of Customs And Excise of Indonesia: An Improvement Process Nugraha, Tito Febrian; Raharjo, Teguh; Wibowo, Wahyu Setiawan; Syahnuddin, Bob Hardian
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3680

Abstract

The Directorate General of Customs and Excise (DJBC) confronts mounting challenges due to the expanding international trade. To address this issue, an optimal software solution is required for efficient service provision and supervision of transactions. However, the completion of IS projects faces significant delays, with only 25% reaching completion despite the immediate need for a reliable system. These delays stem from various problems encountered during project execution. This research employs the Kerzner Project Management Maturity Model to assess the IS project management maturity level at DJBC and categorise the identified problems. Subsequently, solutions extracted from PMBOK 7 are mapped to address these issues. Findings indicate an average maturity score of 390, falling short of the target of 600 required for level 1 maturity. Additionally, 13 problems have been identified and linked to solutions within the seven standards/domains of PMBOK 7. The research presents two strategic goals: improving project management processes and enhancing client satisfaction, assessed using seven measurement indicators. This study offers valuable insights for DJBC to address project management challenges, enhance maturity levels, and achieve desired outcomes.
Analisis Proses Bisnis Pada Pendaftaran Pelanggan Pemasangan PDAM Kota Baturaja Dengan Metode BPI (Business Process Improvement) Saputri, Sonia Dwi; Putra, Pacu; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Meiriza, Allsela
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): 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.v13i2.3681

Abstract

Notasi Pemodelan Proses Bisnis (BPMN) adalah standar pemodelan proses bisnis yang menawarkan diagram proses bisnis dengan representasi grafis dari proses bisnis. BPMN memberi organisasi representasi grafis untuk komunikasi standar. BPMN bertujuan untuk mendukung manajemen proses bisnis bagi pengguna teknis dan bisnis dengan menyediakan notasi intuitif kepada pengguna bisnis yang dapat mengekspresikan proses semantik yang kompleks. Tujuan dalam penelitian adalah untuk mendeskripsikan proses bisnis registrasi pelanggan pada fasilitas PDAM Kota Baturaja dengan menggunakan model Business Process Modeling Notation (BPMN), menganalisis proses bisnis pada pendaftaran pelanggan pada fasilitas PDAM Kota Baturaja dengan menggunakan metode Proses Bisnis Peningkatan (BPI). Dan merekomendasikan proses bisnis pendaftaan pelanggan PDAM Kota Baturaja dengan metode Proses Bisnis Peningkatan (BPI) yang efektif. Manfaat penelitian bagi perusahaan adalah meningkatkan kualitas kinerja untuk mencapai tujuannya tanpa mengalami kerugian. Metode dalam penelitian adalah Proses Bisnis Peningkatan (BPI), yang merupakan metode untuk menganalisis dan memperbaiki proses bisnis bantuan Bizagi Modeler untuk analisis simulasi proses bisnis dan tools yang memperbaiki proses bisnis lama agar proses bisnis menjadi lebih efektif dan efisien. Data perama kali dikumpulkan melalui obsevasi berbicara dengan beberapa karyawan dan memunculkan ide-ide agar proses bisnis ini lebih efektif dan efisien. Hasil penelitian menunjukkan bahwa pada penelitian ini terdapat beberapa kendala dalam proses bisnis pendaftaran pelanggan pemasangan pdam baik dari segi ketersediaan personel, proses pengerjaan, dan tugas perusahaan. Oleh karena itu, proses bisnis harus diperbaiki sesuai dengan rekomendasi yang disampaikan.
Optimizing E-Commerce in Indonesia: Ensemble Learning for Predicting Potential Buyers Insani, Faiz Nur Fitrah; Denny
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): 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.v13i1.3690

Abstract

In the competitive Indonesian e-commerce sector, data-driven decisionmaking is crucial for success. This study addresses the challenge faced by a leading e-commerce company, where despite a 134% increase in promotional expenses, active user transactions remained low. Focusing on predicting potential buyers to optimize promotional spending, the research evaluates various ensemble learning methods, including Random Forest, XGBoost, and LightGBM algorithms. Through extensive testing, all three models demonstrated high precision in identifying potential buyers. Remarkably, XGBoost achieved an exceptional precision score of 89.5%. Further enhancement through a soft voting strategy combining XGBoost and LightGBM resulted in the highest precision rate of 89.8%, suggesting a promising approach for targeted marketing and improved promotional strategies in the e-commerce industry

Page 41 of 117 | Total Record : 1170

 39   40   41   42   43 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 4 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science More Issue