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All Journal Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Journal of Computer Science and Technology Application
Wahid, Syahrul MuArif
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Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Analisa Peluang Penerapan Teknologi Blockchain dan Gamifikasi pada Pendidikan Hendriyati Haryani; Wahid, Syahrul MuArif; Fitriani, Anandha; ariq, Muhammad faris
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 1 No 2 (2023): Maret
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.509 KB) | DOI: 10.33050/mentari.v1i2.250

Abstract

Dalam dunia pendidikan terdapat 2 aspek yang digunakan sebagai solusi untuk mendukung pendidikan yang lebih baik. Aspek pertama berupa konsep blockchain modern yang memiliki potensi positif apabila diterapkan dalam dunia pendidikan. Aspek kedua berupa konsep kegiatan pembelajaran bersaing dalam bentuk pekerjaan berupa gamifikasi. Blockchain dan gamifikasi adalah topik yang berkembang pesat di bidang akademis dan bisnis, mewakili perubahan paradigma dari komputasi terpusat ke desentralisasi. Namun permasalahan pada saat ini, masih minimnya penelitian mengenai blockchain yang diimplementasikan pada bidang gamifikasi pada dunia pendidikan masih minim jumlahnya. Kedua bidang tersebut dapat dikembangkan lebih lanjut secara intensif sebagai bagian dari pengenalan TIK dalam pengajaran mendalam dan juga dalam pendidikan orang dewasa. Sehingga, tujuan dari penelitian ini yaitu untuk menganalisis peluang penerapan teknologi blockchain dan gamifikasi di dunia pendidikan. Metode yang digunakan adalah Systematic Literature Review (SLR) untuk mengidentifikasi jenis teknologi blockchain dan gamifikasi yang telah digunakan secara terstruktur di dunia pendidikan. Hasil dari  penelitian ditemukan bahwa teknologi blockchain dan gamifikasi dapat memberikan solusi bagi dunia pendidikan.
The Role of Natural Language Processing in Enhancing Chatbot Effectiveness for E-Government Services Siahaan, Mungkap Mangapul; Sunarjo, Richard Andre; Sebastian, Rizky; Wahid, Syahrul Muarif
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.71

Abstract

The rapid digital transformation of public administration has led to the adoption of (B) Natural Language Processing (NLP)-powered chatbots to enhance the accessibility, efficiency, and responsiveness of (O) e-government services. However, despite their increasing deployment, many government chatbots still struggle with intent recognition, response accuracy, multilingual processing, and user engagement, limiting their effectiveness. This study investigates (M) the role of NLP in improving chatbot performance within e-government services by evaluating four case studies: Ask Jamie (Singapore), UK Government Digital Assistant, MyGov Corona Helpdesk (India), and Gov.sg Chatbot. Using a mixed-methods approach, this research assesses chatbot effectiveness based on accuracy, response time, query resolution rate, and user satisfaction metrics. The findings indicate that (R) NLP-driven chatbots significantly outperform rule-based systems, with higher accuracy (up to 89%), faster response times (~2.1 seconds), and improved query resolution rates (92%), demonstrating their capacity to automate public service delivery efficiently. However, key challenges remain, including bias in NLP models, data privacy concerns, and the difficulty of integrating NLP chatbots into legacy IT infrastructures. Additionally, multilingual processing remains a limitation, affecting inclusivity for diverse populations. To overcome these challenges, this study proposes advancements in adaptive NLP models, real-time learning algorithms, ethical AI frameworks, and blockchain-based security solutions to ensure fair, secure, and transparent chatbot interactions in digital governance. These findings contribute to the growing body of research on AI-driven public service automation and highlight the potential of NLP to enhance (C) citizen-government interactions, reduce administrative burdens, and improve trust in e-government platforms. Future research should focus on bias mitigation, improving multilingual NLP capabilities, and integrating AI ethics into chatbot governance frameworks to ensure sustainable, scalable, and citizen-centric e-government chatbot solutions.
Co-Authors ariq, Muhammad faris Fitriani, Anandha Hendriyati Haryani Mungkap Mangapul Siahaan Sebastian, Rizky Sunarjo, Richard Andre