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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Computer Networks, Architecture and High Performance Computing JISO : Journal of Industrial and Systems Optimization
Hendrata, Ferial
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Computer Science & IT Education Environmental Science Industrial & Manufacturing Engineering Transportation

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Uncovering Blockchain's Potential for Supply Chain Transparency: Qualitative Study on the Fashion Industry Hindarto, Djarot; Alim, Syariful; Hendrata, Ferial
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13590

Abstract

With the capacity to increase security and transparency, blockchain technology is being used as an interesting subject of investigation in the fashion industry. This underscores the importance of this current research endeavour. In terms of supply chain transparency, the fashion industry faces considerable barriers, thus requiring new approaches such as blockchain that can address issues such as child labour, unethical payment practices, and environmental impact. Main objective of this research is to identify how blockchain technology can improve transparency, accountability, and compliance with ethical standards. However, knowledge of the specific ways in which blockchain technology can improve transparency in the fashion supply chain, including the drivers and barriers, needs to be improved. The research method is described through a qualitative approach that includes in-depth interviews, participatory observation, and document analysis to collect data from various stakeholders in the industry, including manufacturers, distributors, and consumers. Explanation provides an overview of how the researcher collected and analysed data to achieve the research objectives. Blockchain increases transparency through the provision of verifiable and durable product records and fosters consumer-brand trust. Blockchain facilitates accountability and compliance with environmental and ethical standards, according to key findings. Research detected significant barriers, including exorbitant costs for implementation, limited knowledge of technology, and difficulties in fostering collaboration among relevant parties. Results of this study have far-reaching consequences, providing valuable insights to fashion industry stakeholders on how to overcome barriers to blockchain adoption. Long-term benefits of enhanced supply chain transparency and strategic recommendations ensure a smooth implementation process.
Development of Machine Learning Model for Breast Cancer Prediction from Ultrasound Images Hindarto, Djarot; Hendrata, Ferial
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13593

Abstract

In the past decade, the revolution in information and computing technology has transformed approaches to breast cancer detection and treatment, with Machine Learning technologies offering significant potential in health data analysis. However, the development of accurate and reliable predictive models is faced with the challenges of data heterogeneity and complexity. This research proposes the development and validation of Machine Learning-based classification models using Support Vector Machine and Principal Component Analysis to address these issues, targeting improved accuracy in the early detection of breast cancer. The methodology applied involved the use of a breast cancer dataset from Kaggle, with data analysis conducted through inductive methods to identify relevant patterns. The combination of Support Vector Machine and Principal component Analysis achieved 89% accuracy in medical image classification, proving its efficacy in breast cancer diagnostics and providing a more reliable model for early detection. The implications of these findings are significant, both theoretically and practically, for the fields of Machine Learning and Breast Cancer, expanding the understanding of the applications of advanced data processing techniques. Although this study faces limitations in the variability of the dataset's patient characteristics, the results offer a basis for further development in diagnostic technology while recommending the integration of Deep Learning and Big Data analysis as a direction for future research.
Enterprise Architecture Design and Implementation for IoT Integration in Manufacturing Electrical Panels Hindarto, Djarot; Hendrata, Ferial; Wahyuddin, Mohammad Iwan; Wijanarko, Sigit
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3365

Abstract

Internet of Things technology has transformed manufacturing efficiency and optimization. Electrical panel manufacturing benefits from Internet of Things for better functionality, predictive maintenance, and smoother operations. This study examines the design and implementation of an Enterprise Architecture strategy for seamless Internet of Things integration in electrical panel manufacturing. This research aims to explain Enterprise Architecture and use it as a framework for Internet of Things integration in electrical panel manufacturing. This study examines the complex relationships between Internet of Things components, their connectivity, and a broad Enterprise Architecture framework needed to organize their functionality. This integration uses Enterprise Architecture principles to optimize resource use, reduce downtime, and improve manufacturing efficiency. This effort involves analyzing existing infrastructure, identifying Internet of Things deployment points, and creating an Enterprise Architecture plan that meets business goals. This research emphasizes the need for close IT-operations collaboration to achieve a unified vision and smooth Internet of Things integration. This research addresses Internet of Things implementation challenges in manufacturing, including security, data interoperability, and scalability. Strong governance and adaptable architecture are stressed to address these challenges within an Enterprise Architecture framework. This research aims to help electrical panel manufacturers harness the transformative power of the Internet of Things. Strategic Enterprise Architecture helps businesses navigate complexity, leverage Internet of Things, and create a more agile, connected, and optimized manufacturing landscape.
RANCANG BANGUN SISTEM INFORMASI PENCARIAN KERJA DENGAN INTEGRASI MEKANISME KETERLACAKAN DOKUMEN UNTUK TRANSPARANSI REKRUTMEN Amelia, Putri; Juniani, A. I; Trisna Nugraha, Anggara; Hendrata, Ferial
JISO : Journal of Industrial and Systems Optimization Vol. 8 No. 1 (2025): Juni 2025
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v8i1.49-56

Abstract

ABSTRAK Pandemi COVID-19 telah memberikan dampak besar terhadap sektor ketenagakerjaan di Indonesia, salah satunya ditandai dengan meningkatnya jumlah pengangguran akibat pemutusan hubungan kerja secara masif. Penelitian ini akan merancang sistem pencarian lowongan kerja berbasis website yang dilengkapi dengan mekanisme keterlacakan dokumen digital untuk meningkatkan transparansi dalam proses rekrutmen. Sistem ini dirancang pada segmentasi pengguna seperti user guest (pengunjung), kandidat (pencari kerja), perusahaan (penyedia lowongan), dan superadmin (pengelola sistem). Metode yang digunakan pada penelitian ini yaitu metode Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan, pembuatan sistem, dan pengujian. Sistem yang dikembangkan menyediakan fitur seperti login pengguna, pencarian lowongan, unggah lamaran, serta dashboard untuk pengelolaan data oleh admin. Pengujian sistem dilakukan menggunakan metode Black Box untuk memastikan bahwa setiap fungsi berjalan sesuai dengan spesifikasi. Hasil penelitian menunjukkan bahwa sistem dapat bekerja dengan baik dan memenuhi kebutuhan dan peran masing-masing pengguna. Sehingga manfaat yang diperoleh dari penelitian ini yaitu dapat membentuk ekosistem rekrutmen digital yang efisien, terintegrasi, dan adaptif, serta berpotensi mendukung penurunan tingkat pengangguran melalui optimalisasi proses pencarian dan penempatan kerja secara digital. ABSTRACT The COVID-19 pandemic has had a significant impact on the employment sector in Indonesia, notably marked by an increase in unemployment due to mass layoffs. This study aims to design a web-based job search system equipped with a digital document traceability mechanism to enhance transparency in the recruitment process. The system is designed to accommodate different user segments, including guest users (visitors), candidates (job seekers), companies (job providers), and superadmins (system administrators). The methodology used in this research is the Waterfall model, which consists of requirement analysis, system design, system development, and testing stages. The developed system provides features such as user login, job vacancy search, application submission, and a dashboard for data management by the admin. System testing is conducted using the Black Box method to ensure that each function operates according to the specified requirements. The results indicate that the system functions properly and meets the needs and roles of each user segment. Therefore, this research contributes to the development of an efficient, integrated, and adaptive digital recruitment ecosystem, with the potential to help reduce unemployment through the optimization of digital job search and placement processes.
Co-Authors Alim, Syariful Amelia, Putri Anggara Trisna Nugraha Hindarto, Djarot Juniani, A. I Wahyuddin, Mohammad Iwan WIJANARKO, SIGIT