Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Buana Informatika Jurnal Riset Multidisiplin Edukasi
Muhammad Nurbayu Dila
Unknown Affiliation
Computer Science & IT Other

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

Found 2 Documents
Search

 1 
Penerapan State Pattern dan Retrieval-based Chatbot pada NPC Game Visual Novel di Unity Engine Maulana, Dzikri; Muhammad Nurbayu Dila; Meissy Irania Putri
Jurnal Buana Informatika Vol. 16 No. 2 (2025): Jurnal Buana Informatika, Volume 16, Nomor 02, Oktober 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini membahas integrasi antara State Design pattern dan chatbot berbasis retrieval dalam Non-Playable Character (NPC) untuk meningkatkan interaksi pemain dalam Unity Game Engine. NPC dirancang memiliki tiga kondisi emosional utama: Happy, Normal, dan Angry, yang masing-masing memengaruhi dataset percakapan yang digunakan. Chatbot menggunakan algoritma cosine similarity untuk mencocokkan masukan pemain dengan respons yang paling relevan dari dataset berdasarkan emosi aktif. Metodologi penelitian yang digunakan adalah model waterfall, dengan tahapan implementasi, pengujian transisi state, dan evaluasi respons chatbot. Hasil menunjukkan akurasi pemilihan respons sebesar 95,65% dari 230 data uji, serta tingkat adaptabilitas chatbot sebesar 45% terhadap konteks emosi. Penelitian ini membuktikan bahwa integrasi state emosi dengan chatbot berbasis retrieval mampu menciptakan interaksi NPC yang lebih realistis dan kontekstual, meskipun masih terdapat keterbatasan dalam pemahaman semantik dan keberagaman respons.
SISTEM SMART IRRIGATION BERBASIS IOT DENGAN MONITORING KELEMBABAN TANAH, SUHU, DAN DETEKSI HUJAN Fabian Nur Rohman; M. Addien Gilang Saputra; Muhammad Nurbayu Dila; Susilawati
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 11 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi November 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i11.1194

Abstract

This study aims to develop an Internet of Things (IoT)-based smart irrigation system capable of monitoring soil moisture, air temperature, and rainfall intensity in real time to improve water-use efficiency in agricultural practices. The research employed a research and development (R&D) design combined with a field-based experimental approach to evaluate system performance under dynamic environmental conditions. The system architecture consists of a multi-sensor configuration, including soil moisture sensors, a DHT22 temperature–humidity module, and a rain sensor, connected to an ESP32 microcontroller for data acquisition. Data were transmitted, stored, and visualized through a cloud-based IoT platform. The primary data for this study were collected over a seven-day testing period on a horticultural test plot. Findings indicate that the system successfully reduced water consumption by approximately 30–40% compared to traditional manual irrigation methods, while providing accurate automated responses based on real-time environmental data. Brief analysis shows that integrating three environmental parameters simultaneously enables more precise irrigation decision-making compared to single-parameter systems. The novelty of this research lies in the implementation of a multi-sensor, real-time adaptive system capable of responding intelligently to local weather variations. The implications of this study for the field of education include providing a practical reference for applying IoT in smart agriculture, serving as an instructional example in courses related to digital technology, automation, and precision agriculture, and supporting future research developments focused on data-driven farming technologies.
Co-Authors Fabian Nur Rohman M. Addien Gilang Saputra Maulana, Dzikri Meissy Irania Putri Susilawati