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All Journal Jiko (Jurnal Informatika dan komputer) Jurnal Penelitian Teknologi Informasi dan Sains AT-TAKLIM: Jurnal Pendidikan Multidisiplin
Rico Wijaya Dewantoro
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Analisis Big Data untuk Prediksi Permintaan Produk dalam E-commerce Sumita Wardani; Saidan Sany Lubis; Rico Wijaya Dewantoro
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 3 No. 1 (2025): JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v3i1.3066

Abstract

The rapid development of e-commerce has generated huge volumes of data, opening up opportunities to analyze product demand patterns more accurately. This research aims to develop a product demand prediction model based on big data analysis. The data used includes sales transactions, product searches, customer reviews, and external factors such as seasons and promotions. The main methods used are machine learning techniques such as random forest regression and neural networks to build predictive models, with data extraction, transformation, and analysis processes carried out using big data platforms such as Hadoop and Spark. The resulting model is evaluated using accuracy metrics, such as mean absolute error (MAE) and root mean square error (RMSE), to measure prediction performance. The results show that the use of big data in product demand prediction can increase the accuracy of inventory planning and stock management by up to 25% compared to conventional methods. These findings make a significant contribution to the optimization of e-commerce operations, especially in more efficient and timely data-driven decision-making.
Penerapan Blockchain Untuk Keamanan Data Rekam Medis Elektronik : Literatur Review Nicholas Alexander; Monalisa; Bayu Angga Wijaya; Rico Wijaya Dewantoro
AT-TAKLIM: Jurnal Pendidikan Multidisiplin Vol. 2 No. 3 (2025): At-Taklim: Jurnal Pendidikan Multidisiplin (Edisi Maret)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/at-taklim.v2i3.210

Abstract

Blockchain is a modern technology with the capability to create a high level of transparency in data processing. Due to this capability, blockchain has begun to evolve across various sectors, one of which is the healthcare sector. This literature review examines the implementation of blockchain in healthcare systems, focusing on security management in electronic medical records (EMR) and clinical trial data management. A total of 20 journals published between 2019 and 2024 were reviewed, sourced from Google Scholar. The objective of this literature review is to gather information and data based on parameters determined by the researchers. The findings indicate that the utilization of blockchain for data security in the healthcare sector is predominantly applied to Electronic Medical Records (EMR). Furthermore, despite blockchain's significant potential across various fields, particularly in healthcare, this literature review also highlights several limitations of blockchain technology. The conclusion of this study suggests that with further innovation, blockchain can play a crucial role in enhancing security within digital healthcare, making it safer and more efficient.
Analisis Perbandingan Blockchain Publik Dan Privat: Keuntungan Dan Tantangan Dalam Sektor Bisnis Rico Wijaya Dewantoro; Celine Chrysia; Cherry Piya Vagga
AT-TAKLIM: Jurnal Pendidikan Multidisiplin Vol. 2 No. 4 (2025): At-Taklim: Jurnal Pendidikan Multidisiplin (Edisi April)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/at-taklim.v2i4.219

Abstract

Blockchain technology has emerged as a significant innovation across various business sectors, offering transparency, security, and operational efficiency. Blockchain is divided into two main categories public and private each with its own advantages and challenges. Public blockchains, such as Bitcoin and Ethereum, enable full decentralization, enhance transparency, and reduce the need for intermediaries. However, they often face scalability issues and high transaction costs. In contrast, private blockchains offer greater control over data and network access, making them more suitable for enterprises that require efficiency and regulatory compliance, though they come with a higher risk of centralization. This study employs the Systematic Literature Review (SLR) method to analyze and compare both types of blockchain in a business context. By reviewing 20 relevant scholarly publications, this research identifies key factors influencing blockchain adoption, including technological readiness, regulatory frameworks, and stakeholder awareness. The findings indicate that a hybrid model combining public and private blockchains is increasingly being adopted to optimize the benefits of both systems. This study is expected to serve as a reference for academics, practitioners, and policymakers in formulating optimal blockchain adoption strategies within the business sector. It also provides insights into the challenges of blockchain implementation and the potential for integration with other technologies in the future.
IMPLEMENTING SHA-256 IN BLOCKCHAIN FOR SECURE AND TRUSTED ONLINE TRANSACTIONS OF MSMEs Matthew Luis; Rico Wijaya Dewantoro; Andrian Reinaldo Crispin; Adya Zizwan Putra; Abdi Dharma; Celine Chrysia; Cherry Piya Vagga
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 3 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10606

Abstract

The advancement of information technology has driven digital transformation in various sectors, including Micro, Small, and Medium Enterprises (MSMEs), which are vital to Indonesia's economy. However, local MSMEs still face challenges in online transactions, especially related to data security and low consumer trust. Issues like data manipulation, lack of transparency, and weak security systems hinder optimal digitalization. This study implements the SHA-256 cryptographic algorithm in a blockchain system to enhance security and trust in local MSMEs' online transactions. SHA-256 is chosen for its ability to produce unique, permanent, and tamper-resistant hashes. The system adopts a decentralized blockchain model, where transactions are recorded in encrypted, chronologically linked blocks. The testing results show that the SHA-256-based blockchain system functions effectively in maintaining data integrity and preventing manipulation. Black Box Testing confirmed that the system operates correctly from the user's perspective, including login validation, transaction recording, manipulation detection, and transaction history retrieval. White Box Testing validated the internal logic of the system, proving the correct implementation of SHA-256 hashing, block linking, Proof of Work (PoW), and transaction validation mechanisms. All test cases passed successfully, demonstrating that the system is stable, functional, and secure.
COMPARISON OF ECDSA DAN EDDSA ALGORITHMS IN BLOCKCHAIN-BASED HEALTH RECORDS SECURITY Nicholas Alexander; Bayu Angga Wijaya; Rico Wijaya Dewantoro; Monalisa Monalisa
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 3 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10709

Abstract

The development of blockchain technology presents significant opportunities for the management of Electronic Health Records (EHR), owing to its decentralized, transparent, and tamper-resistant characteristics. However, security challenges remain, particularly regarding the use of the Elliptic Curve Digital Signature Algorithm (ECDSA), which, despite being compact and secure, has limitations in efficiency and potential vulnerabilities related to random nonce usage. This study aims to compare the effectiveness, efficiency, and security of ECDSA with the Edwards-curve Digital Signature Algorithm (EdDSA) in safeguarding the integrity and confidentiality of blockchain-based EHR systems. The research methodology involved simulations and evaluations of digital signature algorithms using an EHR dataset from Kaggle, focusing on performance testing, data validation, and the implementation of the Proof-of-Work (PoW) consensus mechanism. The results indicate that EdDSA outperforms ECDSA in terms of both speed and security. EdDSA achieved a signing time of 0.000180 seconds and a verification time of 0.000200 seconds, compared to ECDSA's 0.000962 seconds and 0.003204 seconds, respectively. While both algorithms successfully validated the data, neither was able to detect data alterations. From a blockchain perspective, PoW demonstrated high computational resistance, as evidenced by increased mining times—from 1,504 seconds for 4,000 blocks (difficulty target = 5) to 7,702 seconds for 20,000 blocks (difficulty target = 5)—thereby enhancing system integrity. Overall, EdDSA is considered more suitable for modern blockchain-based EHR implementations, although further research is needed to develop mechanisms for detecting data alteration.
Co-Authors Abdi Dharma Adya Zizwan Putra Andrian Reinaldo Crispin Bayu Angga Wijaya Celine Chrysia Cherry Piya Vagga Matthew Luis Monalisa Monalisa Monalisa Nicholas Alexander Nicholas Alexander Saidan Sany Lubis Sumita Wardani