Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal ULTIMA Computing EPI International Journal of Engineering Indonesian Community Journal
Rahmi Andarini
Universitas Multimedia Nusantara
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Public Health Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Analisis Perhitungan Beban Pendinginan Ruang Dhammasala Vihara Padumuttara menggunakan Metode CLTD Ananda Karuna Jaya; Caesar Ondolan Harahap; Rahmi Andarini
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1709

Abstract

Dhammasala room of Padumuttara Temple has an indoor temperature of 28,56oC and relative humidity of 80,6%. According to SNI 03-6572-2001 and a previous literature study, this temperature is outside the thermal comfort zone for tropical climate. Aiming to improve thermal comfort of Dhammasala room with an HVAC system efficiently, the cooling load of the room is analyzed using the Cooling Load Temperature Difference (CLTD) method. The results are also compared with results from other cooling load calculation sofware. The recommended HVAC System for Dhammasala room of Padumuttara Temple is a chiller with a capacity of 30-40TR.
The Development of an IoT-based Indoor Air Monitoring System Towards Smart Energy Efficient Classroom Moeljono Widjaja; Dareen Kusuma Halim; Rahmi Andarini
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v14i1.2565

Abstract

Indoor air quality has become a crucial issue, specifically during COVID 19 pandemic. The good indoor air quality will lead to occupants’ comfort condition, thus affecting their productivity. Indoor air temperature and relative humidity are two essential components of thermal comfort. This paper presents the development of a temperature and relative humidity monitoring system for the classroom using the Internet of Things (IoT). This system consists of three main components: logger nodes, a gateway logger, and an interconnected cloud server. The logger node (ESP8266 / ESP32 microcontroller and DHT22 sensor) is a device at the edge of the IoT system and is placed at the monitoring location. The logger gateway is built on a Raspberry Pi 4, which serves as an intermediate server. It receives periodic data (temperature and humidity) from the logger nodes through the publish-subscribe MQTT protocol and sends it to the MongoDB Atlas cloud database. The logger gateway saves all received logs into the SQLite database as temporary local storage and then uploads the data to the MongoDB Atlas cloud at a predefined interval. The MongoDB data is then displayed on a monitoring dashboard using MongoDB charts. The logger node with the DHT22 sensor has been adjusted using a linear model and successfully tested to monitor indoor and outdoor air conditions with satisfactory results. The recorded data has also been successfully modeled using the Gaussian Mixture Model and a simple Fuzzy model. These models can capture the dynamic of air condition in the room and predict the state of the cooling system.
Mapping the Potential and Challenges of Developing the Waru Brilliant Thematic Village in Bojong Renged Megantara Pura; Simon Petrus Wenehenubun; Rahmi Andarini; Fahmy Rinanda Saputri
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.7679

Abstract

The Waru Brilliant Thematic Village in Bojong Renged has been developed since 2021 in response to the limited natural resources in the Tangerang region and the impact of the COVID-19 pandemic. This program utilizes idle land for integrated agricultural and livestock activities, such as melon greenhouses, mushroom cultivation, chili gardens, and fish spawning. This service activity aims to map the available potential and identify the main challenges that hinder sustainability. Implementation methods include field observations, interviews with residents, and documentation of facilities. The results show that the physical potential is quite large but has not been supported by sustainable management. The main problems lie in low community participation, damage to facilities due to lack of ownership, and technical constraints related to weather and crop distribution. The findings emphasize the importance of collaboration and technology-based community empowerment strategies to support the sustainability of thematic villages.
The Assessment of Indoor Thermal Comfort Of University Classrooms in Hot and Humid Area Rahmi Andarini; Muhammad Dzaky Al-Haidar; Vincentius Rayza Lee
EPI International Journal of Engineering Vol 8 No 1 (2025): Volume 8 Number 1, Februari 2025
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022025.01

Abstract

Thermal comfort is a description of the mental satisfaction experienced by humans regarding the temperature conditions in the surrounding environment. Appropriate thermal comfort conditions will have a positive influence on the occupant such as increasing productivity. This research was carried out to determine the level of thermal comfort in classrooms of the Universitas Multimedia Nusantara. There are two methods applied in this study, firstly by measuring indoor air quality parameters, and the second method is by surveying the occupants' acceptance of the indoor air condition. The measurement of indoor air parameters consists of two different methods, those are by installing Internet of Things monitoring systems, and manual measurement. There were 2 classrooms and 1 student lounge surveyed, and the measured parameters were indoor air temperature and relative humidity. The results of the measurements show that the average indoor air temperature of the conditioned classrooms was 26OC and the average temperature of the student lounge during unconditioned was 29OC. With the same condition, the measured relative humidity in the classrooms was found at 55% and the student lounge was at 70%. Regarding the thermal comfort condition, 68% of occupants of Student Lounge felt just comfortable,17% felt very comfortable and 15% felt uncomfortable. The opinion regarding this choice is affected by the sitting position of the respondents. At the classrooms D1509 and D1510, 64% of the respondents felt just comfortable, 28% felt very comfortable, 8% felt uncomfortable, which means that the majority of the respondents felt comfortable.
Enhancing Energy Visibility: A Real-Time Power Monitoring System via Web Scraping and NoSQL Moeljono Widjaja; Rahmi Andarini
ULTIMA Computing Vol 18 No 1 (2026): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v18i1.4647

Abstract

Modern industrial power meters are often equipped with Ethernet ports, providing web-based interfaces for real-time monitoring. However, automating data extraction from these interfaces for long-term analysis can be challenging without costly proprietary software. This paper presents a systematic design for an energy logging system that utilizes a web scraping approach to systematically retrieve data from power meter web APIs. The system is implemented using a Python-based scraping script deployed on a Raspberry Pi and utilizes a MongoDB database for scalable data storage and subsequent load profile visualization. Experimental results from an installation at the Universitas Multimedia Nusantara campus demonstrate the system’s ability to effectively monitor high-load Mechanical Ventilation and Air Conditioning (MVAC) systems, providing critical insights into peak consumption periods and operational efficiency. This low-cost, automated solution facilitates data-driven energy management and supports institutional energy-saving initiatives.
Co-Authors Ananda Karuna Jaya Caesar Ondolan Harahap Dareen Kusuma Halim Megantara Pura Moeljono Widjaja Muhammad Dzaky Al-Haidar Saputri, Fahmy Rinanda Simon Petrus Wenehenubun Vincentius Rayza Lee