Article Per Year (5 Year)
p-Index From 2020 - 2025
0.778
P-Index
This Author published in this journals
All Journal Jurnal ULTIMA Computing Jurnal Pensil : Pendidikan Teknik Sipil J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Rahmawati, Hanifah Indah
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Transportation Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Air Filtration System Utilizing Biomimetic Technology and IoT for Air Quality Improvement Fauzan, Mochamad Rizal; Al Azhima, Silmi Ath Thahirah; Pramudita, Resa; Hakim, Dadang Lukman; Rahmawati, Hanifah Indah; Azmi, Mutiara Nabila; Fauzi, Rafi Rahman; Somantri, Maman; Rahayu, Sri
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 2 (2024): 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.v16i2.3871

Abstract

The "Hepix" smart air filtration system, developed with biomimetic and Internet of Things (IoT) technology, aims to address the urgent issue of poor indoor air quality, particularly in high-mobility urban areas. This system integrates advanced sensors (MQ135 and BME680) and biomimetic filtration inspired by leaf stomata to monitor and filter air pollutants. Tested across three locations—Cilame, Jatinangor, and Cibiru—the system achieved an approximate 24.4% reduction in pollutant levels, as well as stable control of humidity and air pressure. Real-time data is continuously monitored through a mobile and web interface, supported by Google Assistant integration for voice commands. The results demonstrate that "Hepix" effectively improves air quality, offering a practical solution for healthier indoor environments in urban areas.
MENJELAJAHI BIBLIOSHINY UNTUK MEMETAKAN PENELITIAN ARTIFICIAL INTELLIGENCE DALAM DUNIA PENDIDIKAN Rahmawati, Hanifah Indah; Sabitri, Zenita; Azmi, Mutiara Nabila; Meirawan, Danny
Jurnal Pensil : Pendidikan Teknik Sipil Vol. 14 No. 2 (2025): Jurnal Pensil : Pendidikan Teknik Sipil
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpensil.v14i2.54083

Abstract

This study critically analyzes the development of artificial intelligence (AI) research in education using a bibliometric approach, leveraging data from 191 Scopus-indexed documents during the 2015-2024 period. Employing Biblioshiny software, the study identifies an annual publication growth rate of 44.22% and an average of 11.88 citations per document. The analysis maps five key clusters: AI-based adaptive learning, automated assessment systems, predictive learning analytics, intelligent pedagogical agents, and personalized learning content. Dominant contributions are observed from countries such as the United States, China, and India, supported by substantial international collaboration. The findings also highlight dominant keywords like "Artificial Intelligence" and "Education Technology," reflecting a global research focus. While emphasizing AI's strategic potential in transforming education systems, this study critically underscores ethical and data privacy challenges that require further attention in advancing educational technology.
Utilization of Biomimetic Design on the Design of an Internet of Things-Based Smart Air Purifier in Urban Residences Rahmawati, Hanifah Indah; Meirawan, Danny; Rahayu, Sri; Fauzan, Mochammad Rizal; Azmi, Mutiara Nabila; Fauzi, Rafi Zahran
Jurnal Teknik Sipil dan Lingkungan Vol. 10 No. 2: October 2025
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.10.2.239-248

Abstract

Poor air quality in urban areas significantly impacts public health, productivity, and quality of life. Various efforts have been made to address this issue, but many solutions still have limitations, such as low effectiveness, designs that lack portability, and the inability for real time monitoring. This research aims to develop a smart air purifier based on biomimetics and the Internet of Things (IoT) as an innovative solution to improve air quality in urban residences. The device prototype mimics the mechanism of leaf stomata, which naturally regulate the flow of air and gases, thus enabling more optimal clean air circulation. The system can monitor environmental parameters, namely temperature, humidity, air pressure, and Indoor Air Quality (IAQ) Index, in real time using BME680 and MQ-135 sensors, and can be controlled via Google Assistant. Testing was conducted in three locations in West Java Province, Indonesia: Cilame, Cibiru, and Jatinangor. Linear regression analysis was used to evaluate the relationship between environmental variables and air quality. The results showed that the device was able to significantly improve air quality in all locations, especially in Cilame, with air pressure being the dominant factor affecting IAQ (coefficient of determination 0.88). Different from previous research, this device offers advantages in the form of high portability, real time monitoring, and IoT integration, making it a potential sustainable solution for improving the air quality of urban residences.
Air Filtration System Utilizing Biomimetic Technology and IoT for Air Quality Improvement Fauzan, Mochamad Rizal; Al Azhima, Silmi Ath Thahirah; Pramudita, Resa; Hakim, Dadang Lukman; Rahmawati, Hanifah Indah; Azmi, Mutiara Nabila; Fauzi, Rafi Rahman; Somantri, Maman; Rahayu, Sri
ULTIMA Computing Vol 16 No 2 (2024): 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.v16i2.3871

Abstract

The "Hepix" smart air filtration system, developed with biomimetic and Internet of Things (IoT) technology, aims to address the urgent issue of poor indoor air quality, particularly in high-mobility urban areas. This system integrates advanced sensors (MQ135 and BME680) and biomimetic filtration inspired by leaf stomata to monitor and filter air pollutants. Tested across three locations”Cilame, Jatinangor, and Cibiru”the system achieved an approximate 24.4% reduction in pollutant levels, as well as stable control of humidity and air pressure. Real-time data is continuously monitored through a mobile and web interface, supported by Google Assistant integration for voice commands. The results demonstrate that "Hepix" effectively improves air quality, offering a practical solution for healthier indoor environments in urban areas.
Co-Authors Al Azhima, Silmi Ath Thahirah Azmi, Mutiara Nabila Dadang Lukman Hakim Danny Meirawan Fauzan, Mochamad Rizal Fauzan, Mochammad Rizal Fauzi, Rafi Rahman Fauzi, Rafi Zahran Maman Somantri Pramudita, Resa Sabitri, Zenita SRI RAHAYU