Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Elang: Journal Of Interdisciplinary Research
Mukhlis Amien
Sekolah Tinggi Informatika & Komputer Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sejarah dan Perkembangan Teknik Natural Language Processing (NLP) Bahasa Indonesia: Tinjauan tentang sejarah, perkembangan teknologi, dan aplikasi NLP dalam bahasa Indonesia Mukhlis Amien
ELANG: Journal of Interdisciplinary Research Vol 1 No 01 (2023): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v1i01

Abstract

Studi ini menyajikan tinjauan sejarah perkembangan Natural Language Processing (NLP) dalam konteks bahasa Indonesia, dengan fokus pada teknologi dasar, metode, dan aplikasi praktis yang telah dikembangkan. Tinjauan ini mencakup perkembangan teknologi dasar NLP seperti stemming, part-of-speech tagging, dan metode terkait; aplikasi praktis dalam sistem pencarian informasi lintas bahasa, ekstraksi informasi, dan analisis sentimen; serta metode dan teknik yang digunakan dalam penelitian NLP bahasa Indonesia, seperti pembelajaran mesin, terjemahan mesin berbasis statistik, dan pendekatan berbasis konfiks. Studi ini juga menggali aplikasi NLP dalam industri dan penelitian bahasa Indonesia serta mengidentifikasi tantangan dan peluang dalam penelitian dan pengembangan NLP bahasa Indonesia. Rekomendasi untuk penelitian dan pengembangan NLP bahasa Indonesia di masa depan mencakup pengembangan metode dan teknologi yang lebih efisien, ekspansi aplikasi NLP, peningkatan keberlanjutan, penelitian lebih lanjut mengenai potensi NLP, dan promosi kolaborasi interdisipliner. Diharapkan, tinjauan ini akan membantu para peneliti, praktisi, dan pemerintah untuk memahami perkembangan NLP bahasa Indonesia dan mengidentifikasi peluang untuk penelitian dan pengembangan lebih lanjut.
OPTIMIZING MSME PRODUCT AUTHENTICITY VERIFICATION IN DECENTRALIZED MARKETS USING BLOCKCHAIN Adnan Zulkarnain; Mukhlis Amien
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6010

Abstract

Blockchain technology offers a solution for ensuring product authenticity in decentralized digital marketplaces. However, Micro, Small, and Medium Enterprises (MSMEs) face barriers such as limited infrastructure, high costs, and data interoperability challenges. This study develops a hybrid blockchain-based application architecture tailored to MSME needs, integrating on-chain and off-chain storage. Critical security data, such as product hashes, is stored on-chain, while non-sensitive data, like product descriptions, is managed off-chain using a cloud-based MySQL database. This design reduces storage costs and computational load while maintaining data integrity. Ethereum smart contracts manage product registration and verification, linked to QR code-based authentication for end-users. A realistic simulation environment using server-based infrastructure and cloud databases evaluated system performance, including transaction throughput, latency, resource utilization, and scalability. The results show significant improvements compared to conventional centralized methods, achieving a transaction throughput of 391 TPS for 1 million transactions while maintaining low latency and resource efficiency. This research addresses a theoretical gap by optimizing blockchain for small-scale decentralized markets, tackling resource limitations and interoperability issues unique to MSMEs. Practically, it provides a scalable and cost-effective solution for product authenticity verification, enhancing consumer trust and reducing counterfeiting in MSME digital markets. While real-world testing remains a limitation, the findings underline the system’s potential to support sustainable MSME digital marketplaces and build consumer confidence.
Co-Authors Adnan Zulkarnain