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All Journal PROtek : Jurnal Ilmiah Teknik Elektro ITEj (Information Technology Engineering Journals) JMM (Jurnal Masyarakat Mandiri) bit-Tech Devotion: Journal of Research and Community Service Journal Of World Science
Juju Juhaeriyah
University Of Swadaya Gunung Jati
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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RANCANG BANGUN HEALTH MONITORING SYSTEM BERBASIS INTERNET OF THINGS (IoT): ESP8266 DAN BLYNK Juju Juhaeriyah; Edo Agung N; Rindi Wulandari
bit-Tech Vol. 6 No. 2 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i2.1036

Abstract

Health monitoring is important for living creatures. There are many things that are important factors in the health of living creatures, especially humans, including heart rate, body temperature and oxygen saturation. IoT technology is very helpful in the development of health technology so that it becomes possible to monitor patient health in real time and patient emergency information can be accessed easily. This research also aims to design an Android-based heart rate monitoring system using ESP8266 as a microcontroller. The sensor used is Max30102. The research method used is applied research, with experimental research methods. The research stages carried out were literature study, software design, hardware design, system testing, and analysis. The results of the research are the design of a patient health monitoring tool with three measured indicators, namely the patient's heart rate, body temperature and oxygen levels. The system can monitor in real time based on Internet of Things and can be accessed by Android and iOS. From the study results, it was found that the Android-based health monitoring system has an accuracy rate of 97.63% and it can be said that the system can be used for patient measurements. With details, 96.71% is the accuracy level for measuring heart rate, 96.45% accuracy level for measuring oxygen levels in the patient's body, and 99.75% accuracy level for measuring patient temperature.
IoT- Based Smart Security System Using Infrared Sensor as Motion Detector Ariwibowo, Muhamad Riyad; Juhaeriyah, Juju; Nugroho, Edo Agung; Mutaqim, Rendi
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.109

Abstract

Today’s security system requires the support of new technology to make it easier to monitor remotely and maintain valuables stored at home in real time. Internet of things technology has now been widely developed with various types of electronic components applied. So, from these problems providing innovation with the development of a remote security system applied to the FC-51 infrared sensor and ESP8266 as it’s control. The infrared sensor receives input signals in the form of objects detected and received by ESP8266 to be sent information to the server to be notified of messages from the Blynk platform to mobile devices. The results of this study prove, that the smart security system with IoT – based infrared sensor is able to detect the optimal distance obtained < 30cm and the shape of different objects determines the level of accuracy of the sensor.
PENINGKATAN EFEKTIVITAS TERNAK ITIK RAMBON MENGGUNAKAN TEKNOLOGI PENETAS TELUR ITIK RAMBON BERBASIS IOT MENGGUNAKAN SOLAR PANEL Rindi Wulandari; Juju Juaeriyah; Sandi N W; Taryo Taryo; Lutvi Aji
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 6 (2024): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i6.26702

Abstract

Abstrak: Itik Rambon (Ras milik Cirebon) merupakan salah satu komoditas ternak unggas lokal Indonesia, dan berasal dari Provinsi Jawa Barat. Tujuan dari kegiatan ini adalah (1) meningkatkan efektivitas kegiatan ternak itik rambon pada kelompok tani bebek unggul dengan menerapkan aplikasi PETIR (Penetas Telur Itik Rambon) otomatis berbasis IoT yang dapat dilakukan pada jarak jauh; dan (2) mengatasi pemadaman energy listrik bergilir yang dilakukan PLN dengan menerapkan solar panel sebagai sumber energy listrik ramah lingkungan. Metode yang dilakukan adalah kegiatan workshop terkait penggunaan teknologi PETIR dalam menetaskan telur secara otomatis menggunakan IoT dan workshop pemeliharaan solar panel pada kelompok tani bebek unggul di Desa Karanganyar Kab. Cirebon. Peserta kegiatan terdiri dari 14 orang yang masing masing memiliki usaha penetasan itik rambon. Kegiatan PKM berjalan dengan lancar dan baik dengan luaran berupa teknologi PETIR berbasis IoT menggunakan solar panel sebagai pasokan energy listrik. Dari hasil kuisioner diperoleh Lebih dari 85% peserta setuju terkait kebermanfataan program dan dilakukan pendampingan lanjutan untuk penggunaan teknologi PETIR. Hal ini menunjukkan bahwa penggunaan teknologi PETIR berbasis solar panel mampu menjadi solusi alternatif bagi kelompok tani Bebek Unggul.Abstract: Rambon Duck (Cirebon breed) is one of Indonesia's local poultry commodities, and originates from West Java Province. The objectives of this activity are (1) to increase the effectiveness of rambon duck farming activities in superior duck farmer groups by implementing the PETIR (Ramboon Duck Egg Incubator) application based on automatic IoT that can be done remotely; and (2) rolling blackouts carried out by PLN by implementing solar panels as a source of environmentally friendly electrical energy. The method used is a workshop activity related to the use of PETIR technology in hatching eggs automatically using IoT and a solar panel maintenance workshop in superior duck farmer groups in Karanganyar Village, Cirebon Regency. The participants of the activity consisted of 14 people, each of whom had a rambon duck hatchery business. The PKM activity went smoothly and well with the output in the form of IoT-based PETIR technology using solar panels as a supply of electrical energy. From the results of the questionnaire obtained, more than 85% of participants agreed regarding the program's benefits and provided further assistance for the use of PETIR technology. This shows that the use of solar panel-based PETIR technology can be an alternative solution for the Bebek Unggul Farmers group.
A Comparative Analysis of Sugeno and Tsukamoto Fuzzy Logic for Temperature Stability in SCAMIS Hidayat, Rizky Nugraha; Idris, Fahmi; Juhaeriyah, Juju
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 3 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i3.10514

Abstract

The digital poultry sector faces challenges in maintaining stable incubation temperatures. Comparative evaluation between Sugeno and Tsukamoto methods has not been conducted in real-world IoT systems. This research is essential to identify the most effective fuzzy logic control approach for smart incubators. This study aims to compare the effectiveness of Sugeno and Tsukamoto fuzzy logic methods through implementation in the SCAMIS platform. A comparative experimental design was employed using Sugeno and Tsukamoto models in SCAMIS. Temperature data were collected via DHT22 sensors and analyzed quantitatively. Code validation and sensor accuracy tests ensured data reliability and the credibility of fuzzy decision-making processes. The accuracy level of the DHT22 sensor when detecting temperature is 98.31%. The comparison of response time from initial temperature to target temperature (30°C - 38°C) between the Tsukamoto and Sugeno fuzzy logic methods is 1 : 3. Tsukamoto takes 1 hour 52 seconds (3,652 seconds), while Sugeno takes 3 hours 1 second (10,801 seconds). The response time required by Tsukamoto for each 1°C temperature increase is 1–7.5 minutes, while Sugeno is 1–10.3 minutes. However, in terms of temperature stability, Sugeno is more stable with an accuracy rate of 98.40% approaching the target temperature, while Tsukamoto has an accuracy rate of 96.93%. These results indicate a significant trade-off between the speed of reaching the target temperature and stability at the target temperature. Control method selection should align with specific operational priorities in smart incubation systems. These findings recommend choosing fuzzy methods based on system priorities. Future studies should evaluate energy consumption and hatching success efficiency.
Design and Build an Internet of Things (IoT) Based Wastewater Monitoring System at Cirebon Pelabuhan Hospital Muhaimin, Muhammad; Dony, Abdul Rochman; Juhaeriyah , Juju
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25539

Abstract

Wastewater at the Cirebon City Port Hospital that is not treated properly can cause environmental damage. In this case, technological advances are very rapidly developing in the manufacture of sophisticated tools, namely tools that can work automatically and have high precision. Therefore, in this study, we will conduct a prototype for monitoring the Wastewater Management Installation (WWTP), so hereby the author develops his research by directly applying the Wastewater Management Installation (WWTP) at Cirebon Port Hospital. In this prototype we used an esp 8266 microcontroller to read commands, a turbidity sensor to measure water turbidity, a DS18B20 sensor to measure the temperature of the water, a pH sensor to measure the acidity level of the water and an MIT App to read the output that is read by the sensor input that has been read by the firebase in real-time. The calibration results showed that all sensors were able to read the values with fairly good accuracy. The pH sensor shows an average accuracy of about 97.8%. The turbidity sensor shows an average accuracy of about 97.1%. The temperature sensor DS18B20 shows an average accuracy of about 97.7%. In the test results of the samples from the 4 readings in tubs 1 to 3, an error was shown because the results of the turbidity sensor reading were above 30 because the 1 to 3 tubs had not been filtered.
Design and Development of Heart Vest for Heart health Monitoring Based on Internet of Things (IoT) Saputra P, Muhammad Iqbal; Robih, Muhammad Miftahul; Juhaeriyah, Juju
Journal of World Science Vol. 4 No. 10 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i10.1525

Abstract

IoT-based cardiac monitoring systems face the challenges of accuracy and convenience. The integration of real-time wearable based on AD8232 and ESP8266 has not been widely explored functionally. This research is important to develop a cheap, portable, and reliable heart monitoring solution. This research aims to design and test Heart Vest as a real-time heart monitoring system based on IoT and mobile applications. Experimental research was conducted by testing IoT devices based on AD8232 and ESP8266 sensors. Data is sent to Firebase and visualised through an Android application. Tests of sensor accuracy, data synchronisation, and BPM status classification are carried out to ensure system reliability. The test results show that the AD8232 sensor has an average accuracy of 97.8% (2.20% error). Data synchronisation between the Heart Vest LCD and the mobile application reached 100%. The system successfully classified the heart status (normal, alert, danger) with 100% accuracy and provided alerts via LED and buzzer. These findings demonstrate the reliability of the Heart Vest as an efficient, economical, and responsive real-time monitoring system in the context of non-clinical use. These findings strengthen the adoption of IoT wearable systems for cardiac monitoring. Further research needs clinical trials and multi-sensor integration.
Co-Authors Ariwibowo, Muhamad Riyad Dony, Abdul Rochman Edo Agung N Hidayat, Rizky Nugraha Idris, Fahmi Lutvi Aji Muhammad Muhaimin Mutaqim, Rendi Nugroho, Edo Agung Rindi Wulandari Robih, Muhammad Miftahul Sandi N W Saputra P, Muhammad Iqbal Taryo