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All Journal Jurnal ULTIMA Computing Jurnal Teknologi Terpadu Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Journal La Multiapp Eduvest - Journal of Universal Studies
Al Azhima, Silmi Ath Thahirah
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Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Engineering Health Professions Neuroscience Public Health Social Sciences

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Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest Al Azhima, Silmi Ath Thahirah; Darmawan, Dwicky; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtiya, Mariya; Syafei, Nendi Suhendi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.539

Abstract

The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%.  
Real-Time Monitoring System for Peatland Fire Potential Based on Internet of Things Nawawi, Imam Khushthon; Al Qibtiya, Mariya; Al Azhima, Silmi Ath Thahirah; Arief Hakim, Nurul Fahmi
Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i4.1449

Abstract

This research aims to develop a real-time monitoring system for peatland fire potential based on the Internet of Things (IoT) with a focus on early detection of potential peatland fires. The main problem to be solved is the lack of an effective system in the early detection of potential peatland fires, which can cause serious environmental impacts. The method used involves the use of air temperature, air humidity, soil moisture, and fire detection sensors integrated with alarm-based alerts. Data collection is done in real-time to provide a deeper understanding of peatland conditions and potential fire risks. The research results show that the developed system is capable of providing accurate and fast information related to peatland conditions, thus helping to prevent and reduce the impact of peatland fires. With this system, it is expected to increase efficiency in early fire detection and minimize the losses caused by peatland fires.
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.
Application of Piezoelectricity on Running Tracks: A Prototype for the Realization of Sustainable and Efficient Energy Putra, Aldy Padmanegara; Arief Hakim, Nurul Fahmi; Haritman, Erik; Al Azhima, Silmi Ath Thahirah; Al Qibtiya, Mariya
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1582

Abstract

Electrical energy has become a basic necessity today. As the population increases, the amount of electricity demand is also increasing. Therefore, many innovations are needed to meet these needs. One of the innovations in energy harvesting systems is the use of piezoelectricity. This research aims to create a piezoelectric-based running track prototype to produce environmentally friendly electrical energy. The arrangement of piezoelectric sensors used in this research is a parallel circuit. The research method used is the Research and Development method. The test results on the physical activities of walking, running, and jumping show that the prototype system that has been made has worked well and produces a fairly stable electric voltage even though it is still in a small amount. the difference in activity and body weight that presses the prototype produces different electric voltages. For walking activity, the prototype is able to produce a maximum voltage output of 0.83V, running activity has a maximum output of 5.83V and the maximum voltage output of jumping activity is 7.88V. The use of energy is done by storing the energy obtained from the piezoelectric in the battery, which can later be monitored directly by the voltage sensor, bluetooth module, HC-05, and RTC module the data will be sent to the cell phone so that the piezoelectric output voltage can be recorded and monitored. The electrical energy output generated by the piezoelectric is able to charge the battery and switch on the LED light at 2.5 V.
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.
IMPLEMENTATION OF IOT-BASED SMART MEDICINE BOXES TO IMPROVE MEDICATION COMPLIANCE AND PUBLIC HEALTH LITERACY IN PALASARI VILLAGE, CIBIRU DISTRICT Hakim, Nurul Fahmi Arief; Al Azhima, Silmi Ath Thahirah; Darmawati, Irma; Al Qibtiya, Mariya; Hartopo, Ibnu; Ridwan , Azwar Mudzakkir
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3079

Abstract

Improving patient safety through proper drug management is particularly difficult for the elderly and people with chronic conditions. Due to low levels of health literacy and lack of access to health technology, numerous individuals in Palasari Village, Cibiru District still struggle to adhere to prescription schedules. As a technical solution to aid in appropriate medication administration, this community service research proposes an IoT-based smart medicine box. A community needs analysis, a prototype built on an ESP32 microcontroller, a dose detection sensor, and a notification system using a mobile app were all part of the implementation technique. Residents also participated in training and mentorship sessions. The trial included 27 participants who were evaluated using a Likert scale that measured their level of interest, comprehension, simplicity of use, and effectiveness with respect to the gadget. With an average score of 4.37 out of 5 (87.3%), the results demonstrated a high degree of acceptability, especially when it came to comprehending the gadget, the efficacy of medicine reminders, and the possibility of lowering the risk of medication mistakes. At the community level, this effort proves that basic technology based on the Internet of Things may enhance health literacy, patient safety, and medication adherence.
Co-Authors Al Qibtiya, Mariya Azmi, Mutiara Nabila Dadang Lukman Hakim Darmawan, Dwicky Darmawati, Irma Erik Haritman, Erik Fauzan, Mochamad Rizal Fauzi, Rafi Rahman Hakim, Nurul Fahmi Arief Hartopo, Ibnu Iwan Kustiawan Maman Somantri Nawawi, Imam Khushthon Nendi Suhendi Syafei Nurul Fahmi Arief Hakim Pramudita, Resa Putra, Aldy Padmanegara Rahmawati, Hanifah Indah Ridwan , Azwar Mudzakkir SRI RAHAYU