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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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Analysis and Design of Web-based Internal Office Memo (IOM) Management System Veza, Okta; Larisang, Larisang; Setyabudhi, Albertus Laurensius; Arifin, Nofri Yudi; Syofiawan, Doni; Martino, Hisar Gusdian
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.v13i1.3511

Abstract

This research focuses on the design and implementation of a web-based Internal Office Memo (IOM) Management System in the PT InnoArk Servis Internasional Optipedia Team. The main problem relates to ineffective communication and coordination between divisions, which results in backlogs and repetition of work as well as difficulties in monitoring task progress. The research method adopts a System Development Life Cycle (SDLC) approach with a waterfall model and uses the Unified Modeling Language (UML) for system design. Implementation was carried out by utilizing the CodeIgniter framework and MySQL as a database, followed by black box testing of the requirements testing type. The result is a system that successfully improves operational efficiency, team collaboration, and transparency of work progress. This application not only overcomes communication obstacles, but also provides a basis for making better decisions based on actual data, maintaining the smooth implementation of tasks, and improving the quality of team collaboration in the PT InnoArk Servis Internasional Optipedia Team.
Tren Global Penelitian Tentang Digital Twin: Analisis Bibliometrik Lizar, Yaslinda; Mal Novizam, Defa; Butar-Butar, Mhd Sufiananda; Guci, Asriwan
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3513

Abstract

Penelitian ini bertujuan untuk menganalisis perkembangan publikasi ilmiah bidang digital twin. Metode penelitian adalah kajian bibliometrik terhadap 16.504 artikel jurnal internasional terindeks Scopus periode 2014-2023. Hasil menunjukkan terjadi peningkatan publikasi yang signifikan dalam satu dekade terakhir, didominasi oleh Tiongkok, Jerman, Amerika Serikat, Inggris dan Italia. Sebagian besar publikasi adalah conference papers dan articles di bidang Engineering dan Computer Science. Berdasarkan analisis kata kunci, tema utama meliputi smart systems, machine learning, cloud computing, augmented reality, automation, dan big data. Kesimpulannya, antusiasme peneliti terhadap digital twin tercermin dari lonjakan publikasi global. Hal ini diperkirakan mendorong perluasan riset digital twin ke berbagai disiplin di masa depan.
Analysis The Success of Knowledge Management in Agile Team Study Case: Ecommerce in Indonesia Yanpratama, Agas; Raharjo, Teguh
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3515

Abstract

Information in organizations needs to be managed to gain a competitive advantage in competitions. E-commerce, one of the most prominent industries in Indonesia, has dynamic market conditions that frequently change requirements and recent layoffs, which can harm the companies if not correctly managed. Knowledge and information usually stored in a knowledge management system (KMS) are essential to negate this, and Agile software development methodologies can manage frequent requirement changes. However, a study about KMS's success in Agile teams, primarily e-commerce, needs to be conducted to know if KMS can help companies sustain their business in Indonesia. This research analyses the KMS success in Indonesia's e-commerce companies that use Agile as their software development methodologies. This study used a quantitative approach with 31 respondents who worked or previously worked in an e-commerce company in Indonesia, using Agile as software development methodologies and experienced using KMS daily. Data was processed and analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) and SmartPLS tools. The results of this study indicate that KMS net benefits in Agile teams in E-commerce in Indonesia are influenced by the user's intentions to use and user satisfaction when using the KMS.
Product Bundling Strategy for Office Supplies Retailer through Association Rules Mining: Comparative Study of Apriori and ECLAT Algorithms Oetama, Raymond
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3516

Abstract

Our study aims to develop an effective bundled product promotion strategy for the office supply store to boost sales. The primary challenge is comprehending which product combinations align with customer preferences and cater to their needs. We leverage the Apriori and ECLAT algorithms for consistent rule generation, revealing robust associations between product purchases. Notably, a strong positive correlation rule emerges at a confidence level of 0.8, while at 0.9, no results are found. The identical rules derived from both algorithms signify their reliability. The shop owner employs two rules for bundled products based on a minimum Lift Ratio of 1.96. The first bundle focuses on 70gsm natural paper in Folio and Quarto sizes, capitalizing on their popularity, even though customers may prefer one size. The second bundle emphasizes notebooks, often bought together but in smaller quantities than paper products, reflecting diverse customer needs and behaviors.
Navigating the ERP Landscape: Unveiling the Key Drivers in Enterprise Resource Planning Success - A Comprehensive Literature Exploration Rahmita, Fehmi; Teguh Raharjo; Venera Genia; Aji Prasetyo
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3517

Abstract

Organizations require information systems as a means of aiding decision-making processes. Enterprise Resource Planning (ERP) systems serve as information system tools that enhance work efficiency. They are considered the optimal solution for organizations seeking a competitive edge. The successful implementation of ERP systems offers numerous benefits to organizations. It is essential to note that while some organizations have encountered difficulties using ERP systems, others have succeeded. Implementing ERP systems poses a challenge for organizations, and this study aims to identify the critical success factors with ERP systems and get to know what category is most important to implementing ERP in an organization. This research identifies and categorizes the top five CSFs for successful ERP implementation: training and job redesign, adequate ERP software selection, clear goals and objectives, business process reengineering, and implementation strategy and timeframe. These CSFs are vital for organizations of all scales, offering a holistic framework for effective ERP integration. Through systematic analysis, the study maps these CSFs into four dimensions: Project Strategy, Project Structure, Information Systems, and People Management, highlighting the interplay between technology and human factors. This research underscores the enduring significance of ERP systems in the globalized business landscape and calls for continued exploration of evolving CSF trends to ensure ongoing organizational competitiveness and success. By following the outlined procedures, this study can be applied by organizations of different scales, including small and large businesses, to achieve effective ERP implementation. Integrating ERP systems will demonstrate advantages for organizations over the short and long run within the market context.
Practicality of E-Module Utilizing Meta-Creative Strategies Rahmiati, Rahmiati; Putri, Mutia; Saputra, Indra; Astuti, Murni; Miga Dewi, Siska
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3518

Abstract

This study aims to create an e-module for beauty and makeup research. It places its focus on evaluating the practicality of the e-module through the utilization of the meta-creative strategy approach. This evaluation is carried out by assessing it with two distinct groups, which are lecturers and students. The outhor employs a systematic approach in evaluating the e-module with the meta-creative strategy. The primary criteria for assessment include ease of media usage, time efficiency, interpretation ability and equvalency. The analysis results indicate a high level of practicality for the e-module with meta-creative strategy used in this learning process. The lecturer and students both rated it highly, with scores of 0,92 and 0.87 respectively. These score reflect the favorable reception from both groups of stakeholders. These findings lend support to the concept of meta-creativity e-module developments and underscore the potential of educational technology in enhancing the learning experience.
Implementasi Convolutional Neural Network Untuk Klasifikasi Jenis Beras Berdasarkan Citra Digital Ardiansyah, Robi; Itje Sela, Enny
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3520

Abstract

Beras memegang peran utama sebagai kebutuhan pokok bagi mayoritas penduduk Indonesia, dan setiap varietasnya memiliki perbedaan dalam ciri bentuk dan tekstur. Keanekaragaman jenis beras di Indonesia membuatnya semakin sulit dibedakan hanya dengan menggunakan penglihatan manusia karena setiap jenis memiliki ciri bentuk dan tekstur yang relatif berbeda. Tujuan dari penelitian untuk mengidentifikasi jenis-jenis beras melalui pemanfaatan pengolahan citra digital. Sebanyak 200 citra digunakan dalam penelitian ini, dan melalui teknik augmentasi citra, jumlah data diperluas menjadi 1200 citra. Metode pelatihan yang diterapkan adalah CNN (Convolutional Neural Network) dengan memanfaatkan nilai bentuk dan tekstur citra. Hasil pengujian menunjukkan tingkat akurasi testing tertinggi menggunakan metode CNN mencapai 98,06%.
Development of a Web-Based Correspondence Information System to Enhance Administrative Services in Higher Education Misna Asqia
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3521

Abstract

The administrative services for higher education have been greatly affected by the COVID-19 pandemic. This has also impacted STT-NF. Services to students, such as handling documents that previously required physical presence on campus, now transitioned to an online method. STT-NF has utilized the G-Suite service to facilitate online administrative services for students. However, G-Suite has its limitations, necessitating the development of a Document Submission Information System. The chosen development method for this system is a website employing the Waterfall methodology. After conducting observations and interviews with relevant stakeholders, we identified five issues that the document submission information system had experienced. There are three actors involved. From the previously identified issues, we derived eight solution analyses. Testing was conducted using the Blackbox method for the 11 document submission information system features. The testing results indicate that all features are functioning as intended and have passed successfully.
Artificial Intelligence for Caries and Tooth Detection in Dental Imaging: A Review Nooraldaim, Almonzer; Saed, Adil
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3522

Abstract

This review delves into the application of artificial intelligence (AI) and deep learning, particularly leveraging convolutional neural networks (CNNs), to enhance dental diagnostics and treatment planning. The primary focus is on the detection and classification of caries as well as the identification of teeth in diverse dental images. A thorough exploration was conducted across databases, including PubMed, IEEE Xplore, and arXiv.org, leading to the identification of 29 pertinent studies. These studies employ various neural network models, encompassing different dental image types and employing diverse performance metrics. The review succinctly outlines the key characteristics and outcomes of these studies, underscoring the remarkable accuracy and the promising potential of AI-driven approaches in the realms of caries detection and tooth identification. Acknowledging the existing limitations within the current body of research, such as small or non-representative datasets, variations in imaging techniques, and a lack of interpretability in deep learning models, the review emphasizes the need for future investigations. It suggests potential research directions aimed at overcoming these challenges, thereby facilitating the seamless integration of AI into routine dental practices.
Sistem Pendukung Keputusan Prioritas Asesmen Menggunakan Metode TOPSIS Pada Badan Akreditasi Nasional Sekolah/Madrasah Provinsi Jambi Muhammad Rinaldi Pratama; Pariyadi; Reny Wahyuning Astuti; Darex Susanto
The Indonesian Journal of Computer Science Vol. 12 No. 6 (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.v12i6.3523

Abstract

Dalam rangka pelaksanaan akreditasi, BAN-S/M Provinsi Jambi bekerja berdasarkan jumlah kuota akreditasi yang ditetapkan oleh BAN-S/M. Dikarenakan jumlah kuota akreditasi yang diterima tidak selalu dapat mengimbangi jumlah sasaran akreditasi sekolah dan madrasah yang ada di Provinsi Jambi tiap tahunnya, maka BAN-S/M Provinsi Jambi perlu memilih sekolah/madrasah yang tepat sesuai dengan kriteria prioritas yang ditetapkan oleh pimpinan. Dalam menentukan prioritas asesmen pada penelitian ini menggunakan empat kriteria, yaitu nilai akreditasi sebelumnya, tahun visitasi terakhir, jenjang, dan rentang jumlah siswa. Metode yang dipakai dalam sistem pendukung keputusan ini adalah metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Perancangan aplikasi ini menggunakan teknologi berbasis web dengan bahasa script PHP dan basis data MySQL. Sistem Pendukung Keputusan Prioritas Asesmen Menggunakan Metode TOPSIS Pada Badan Akreditasi Nasional Sekolah/Madrasah Provinsi Jambi bertujuan untuk membantu pimpinan dalam menentukan sekolah/madrasah yang layak diprioritaskan untuk dilakukan asesmen terlebih dahulu. Hasil analisis perhitungan menunjukkan bahwa tingkat akurasi penerapan metode TOPSIS pada aplikasi ini sangat baik, sehingga aplikasi sistem pendukung keputusan ini dapat digunakan untuk memberikan rekomendasi prioritas asesmen sesuai dengan kriteria yang ditetapkan.

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