Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Tia Risky Yasmin Saketang
Unknown Affiliation
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media

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

Found 2 Documents
Search

 1 
Optimasi Alokasi Sumber Daya Bantuan Sosial : Pendekatan Algoritma Greedy dan Analisis Komputasi Maulana Al Nouri; Tia Risky Yasmin Saketang; Repi Meilani Putri; Paskal Arienda Epidonta Ginting; Adidtya Perdana
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 3 (2026): Mei: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i3.1556

Abstract

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.
Peran Ilmu Komputer dalam Pembelajaran Bahasa Indonesia Tia Risky Yasmin Saketang; Dinda Syafitri; Sahara Lani Lestari; Kayla Amelia Putri
Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Vol. 4 No. 3 (2026): June: Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/morfologi.v4i3.2710

Abstract

The advancement of digital technology has driven a fundamental transformation in the ecosystem of Indonesian language learning. This study aims to examine the role of Computer Science in supporting and modernizing Indonesian language learning in the digital era, identify Computer Science-based technologies that have been applied, and analyze the challenges and opportunities of their integration. This study employs a literature review method by analyzing twelve national scientific journals published between 2021 and 2025. The findings indicate that Computer Science contributes multi-dimensionally through sub-fields of Natural Language Processing (NLP), artificial intelligence (AI), gamification, and educational software engineering. Key findings include: (1) NLP for the Indonesian language has encompassed stemming, POS tagging, and syntactic parsing as the foundation for automatic correction systems and automated essay scoring; (2) algorithm-based gamification has proven effective in increasing student motivation and active engagement; (3) AI-based learning platforms enable the personalization of adaptive learning experiences. This study also formulates an idea engineering concept in the form of an integrated platform, combining AI, NLP, and gamification within a single learning ecosystem. The study concludes that Computer Science plays a role that is both strategic and ambiguous as a transformative solution as well as a source of linguistic challenges that must be addressed proactively within the Indonesian language education ecosystem.
Co-Authors Adidtya Perdana, Adidtya Dinda Syafitri Kayla Amelia Putri Maulana Al Nouri Paskal Arienda Epidonta Ginting Repi Meilani Putri Sahara Lani Lestari