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Analisis Akurasi Sistem Sensor IR MLX90614 dan Sensor Ultrasonik berbasis Arduino terhadap Termometer Standar Inayatul Inayah
Jurnal Fisika Unand Vol 10 No 4 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (916.578 KB) | DOI: 10.25077/jfu.10.4.428-434.2021

Abstract

Studi uji perbandingan suhu tubuh telah dilakukan menggunakan sensor IR MLX90614 dengan termometer standar. Sistem dirancang menggunakan sensor IR MLX90614 dan sensor ultrasonik HC-SR04 berbasis arduino. Penelitian ini bertujuan untuk mengetahui kinerja sensor IR MLX90614 berdasarkan jarak dan membandingkan hasil pengukurannya dengan termometer standar model: AD80. Dalam penelitian ini, digunakan metode perbandingan langsung antara sensor IR MLX90614 dan termometer standar. Pengujian dilakukan dengan metode repeatabilty sebanyak 3 kali pada variasi jarak 10 – 60 cm. Pengujian ini dilakukan pada telapak tangan 3 orang dewasa yang berbeda. Berdasarkan data sheet sensor IR MLX90614, sistem memiliki akurasi yang baik jika sistem memiliki nilai error ±0.3oC. Akurasi ini terdapat pada pengujian dengan jarak 10, 20, dan 30 cm dengan rata-rata akurasi yaitu 99.7%, 99.5%, dan 99.7%.
SISTEM PENGUKURAN KADAR GAS SO2 SECARA JARAK JAUH UNTUK PEMANTAUAN PADA KAWASAN GUNUNG BERAPI Arlien Siswanti; Figur Humani; Agus Sulistiyo; Inayatul Inayah; Giga Verian Pratama; Jatmiko Endro Suseno
Youngster Physics Journal Vol 3, No 3 (2014): Youngster Physics Journal Juli 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.327 KB)

Abstract

When a forest fire or volcanic eruption must be accompanied by the emergence of gases endanger human health. By utilizing SO2 gas sensor and telemetry system,they are effectively used for the benefit of monitoring gas levels affected areas. The method used  by a field study in Gedong Songo which is now in an active condition give off gases which are still not detected. Through SO2 gas senso gas levels that can be obtained gas levels is 3.57 ppm. All data obtained from sensors will be transmitted in real time to ground stations via the telemetry system. Results of SO2 gas concentration data transmission will be shown through the android app and then analyzed as a follow up of disaster management.Keywords: Disaster, Quadcopter, gas sensors, Telemetry, Android.
Design and Implementation of Non-Contact Infrared Thermometer based MLX90614 and Ultrasonic Sensors Inayatul Inayah; Heri Kiswanto; Achmad Dimyati; Muhammad Ghofinda Prasetia
Jurnal Fisika dan Aplikasinya Vol 18, No 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v18i2.10746

Abstract

Masurement of body temperature is essential to know the condition of the individual’s body. Temperature measurements need to be carried out without contact between individuals and devices or individuals with other individuals to prevent the transmission of Covid-19. In this study, a non-contact thermometer has been designed using an MLX90614 sensor to measure body temperature, and an HC-SR04 ultrasonic sensor to detect objects at 5-30 cm. The sensor reading results will be displayed via the TFT LCD in real-time. If the detected object temperature exceeds 37.5 oC, the buzzer will sound, and the LED will light up. The constructed thermometer is supplied by 12 V DC adapter to provide 5 V output to the microcontroller. Proximity sensor, temperature sensor, and TFT LCD work on 5 V DC voltage. A Resistor and a transistor were needed to turn on the LED and 12 V high decibel buzzer. This instrument has been tested and compared with a commercial thermometer AD801 model for measuring palms and forehead. Based on our study, the difference in palm and forehead temperature readings between the two thermometers in two individuals ranges from 0 to 0.2 oC. This reading error was still within the tolerance of the reading error listed on the MLX90614 sensor datasheet, which is ± 0.3 oC.
Realtime Monitoring System of Solar Panel Performance Based on Internet of Things Using Blynk Application Inayatul Inayah; Nur Hayati; Aflah Nurcholis; Achmad Dimyati; Muhammad Ghofinda Prasetia
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.734 KB) | DOI: 10.21831/elinvo.v7i2.53365

Abstract

Renewable energy is one of the options to meet the increasing energy needs. As a tropical country, Indonesia has great potential for solar energy development. At this time, solar panels have been built in places exposed to direct light. However, monitoring solar panels is still performed manually using a multimeter by operators or field officers, so it cannot be performed in real-time. Real-time tracking is carried out to prevent damage and decreased performance of solar panels. Hence, we designed a real-time solar panel monitoring system based Internet of Things (IoT) using the Blynk application on a smartphone. Based on the test between the measuring instrument and the Blynk application, the error percentage is 0.59% for voltage testing, 0.0001% for current testing, 1.03% for power testing, and 2.09% for temperature testing. A strong internet connection will significantly affect the performance of solar panels in real-time. This research is expected to monitor solar panel parameters remotely via a smartphone without having to come to the location and make it easier for users to monitor.
Design and Build a Website-Based Landslide Early Warning System Fajar Mahardika; Muhammad Ghofinda Prasetia; Puji Cahniya Sari; M. Azwan; Inayatul Inayah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 1 (2023): Jurnal Ecotipe, April 2023
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i1.3894

Abstract

Edukasi Penerapan Teknologi Panel Surya berbasis Internet of Things sebagai Sumber Energi Listrik di Desa Kandangserang Inayah, Inayatul; Agustina, Elvinda Bendra
Jurnal Pengabdian Pada Masyarakat Vol 9 No 2 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

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

Abstract

Energi listrik merupakan salah satu komponen pokok dalam kehidupan sehari-hari, namun saat ini sumber energi listrik masih berfokus pada energi fosil yang akan semakin menipis akibat eksplorasi secara terus-menerus. Sebagai negara tropis, indonesia memiliki potensi besar dalam pengembangan energi surya, khususnya Kota Pekalongan yang berada di wilayah Jawa Tengah. Kota Pekalongan memiliki potensi penyebaran penyinaran surya yang merata, sehingga pengembangan panel surya sebagai energi terbarukan sangatlah berpotensi. Sayangnya, masyarakat masih belum mengetahui tentang pemanfaatan panel surya untuk memenuhi kebutuhan listrik rumah tangga. Oleh karena itu, kegiatan pengabdian ini bertujuan untuk mengedukasi masyarakat mengenai penerapan teknologi panel surya sebagai sumber energi listrik. Kegiatan pengabdian dilakukan dengan melakukan survei, wawancara, dan monitoring serta evaluasi. Hasil dari kegiatan pengabdian yaitu masyarakat memahami pemanfaatan energi surya sebagai sumber energi terbarukan, sehingga masyarakat terdorong untuk membangun panel surya guna memenuhi kebutuhan listrik rumah tangga. Selain itu, masyarakat juga mengetahui pemanfaatan teknologi internet of things (IoT) untuk mengetahui kinerja panel surya secara realtime, sehingga perawatan panel surya dapat dilakukan secara optimal. Tingkat kepuasan peserta terhadap kegiatan ini yaitu 46.32% peserta menyatakan sangat puas, dan 49.47% peserta menyatakan puas. Hasil tersebut menunjukkan adanya kebermanfaatan dari kegiatan edukasi penerapan teknologi panel surya berbasis IoT sebagai sumber energi listrik. Electrical energy is one of the main components of everyday life. However, electrical energy sources are currently focused on fossil energy, which will become increasingly depleted due to continuous exploration. As a tropical country, Indonesia has great potential to develop solar energy, especially in Pekalongan City in the Central Java region. Pekalongan City has the potential for even distribution of solar radiation, so the development of solar panels as renewable energy has the potential to be carried out. Unfortunately, people still don't know about using solar panels to meet household electricity needs. Therefore, this service activity aims to educate the public regarding the application of solar panel technology as a source of electrical energy. Service activities are carried out by conducting surveys, interviews and literature studies. The result of the service activities is that the community understands the use of solar energy as a renewable energy source so the community is encouraged to build solar panels to meet household electricity needs. Apart from that, the public also knows about the use of Internet of Things (IoT) technology to determine the performance of solar panels in real time so that solar panel maintenance can be carried out optimally. The level of participant satisfaction with this activity was 46.32% of participants said they were very satisfied, and 49.47% said they were satisfied. These results show the benefits of educational activities in implementing IoT-based solar panel technology as a source of electrical energy.
Perbandingan Penghitungan Massa Tubuh Dengan Menggunakan Metode Indeks Massa Tubuh (IMT) dan Bioelectrical Impedance Analysis (BIA) Wiranata, Yonathan; Inayah, Inayatul
Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Vol 6, No 1 (2020): JMK Yayasan RS.Dr.Soetomo, April 2020
Publisher : STIKES Yayasan RS.Dr.Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.433 KB) | DOI: 10.29241/jmk.v6i1.280

Abstract

Anthropometric is a method of body mass composition calculation resulting either roughly or directly (detail). BMI is an anthropometric method performed by measuring body weight and height to classify one’s body mass index. BIA is an anthropometric methods used to asses body mass composition, including water mass, musculoskeletal, and mainly body fat mass. The purpose of this study isto find the relationship between the two methods of anthropometry and see the comparasion of body mass composition resulted by the two methods. Study design with descriptive analytics with cross sectional approach, the sampling technique use quota sampling, 41 respondents. Data analysis with analysis of Pearson correlation test (significance level α = 0.05, p – value < α). Results of a normal BMI of 25 respondents (61%), the results of normal BIA 29 respondents (71%) and fat mass between (from 11.00 to 37.30, the average 24.05). obtained a result of a positive relationship between BMI with the composition of body fat (r = 0.708, p <0.000). With it was found that BMI and body fat composition has a significant relationship (p <0.000). It can be cloncuded BMI has strong correlation with body fat mass that were measured by using the BIA method resulted from PSIK student at the University of Muhammadiyah Malang. BIA method is no better than BMI method as a parameter to determine body mass composition.Kata Kunci:  Indeks Massa Tubuh, Bioelectrical Impedance Analysis, Komposisi Tubuh.
Design and Construction of an Internet of Things Based Electrical Power Usage Monitoring System Yuniarto, Abdul Hakim Prima; Agustina, Elvinda Bendra; Inayah, Inayatul; Rohman, Nur; Rizqiyah, Mufidah
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 1 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i1.15366

Abstract

Rancang bangun sistem monitoring penggunaan daya listrik berbasis internet of things telah berhasil dilaksanakan. Perancangan ini bertujuan untuk memantau peralatan penggunaan daya listrik di laboratorium elektronika dan instrumentasi, program studi Fisika, ITSNU Pekalongan. Perancangan dimulai dengan merancang pusat dari sistemnya yang terdiri atas modul ESP32 dan sensor daya PZEM-004T, pusat sistem tersebut dihubungkan dengan terminal listrik. Monitoring pengunaan daya listrik melalui platform Thingsboard. Sistem saling terhubung melalui jaringan internet, sehingga dapat diakses dimanapun dan kapanpun. Pengujian sistem dilakukan dengan mengukur daya pada beberapa jenis peralatan elektronik dengan menggunakan sensor PZEM-004T. Kemudian data tersebut dibandingkan dengan data pengukuran menggunakan alat ukur yang sudah umum di pasaran, seperti multimeter dan wattmeter. Berdasarkan hasil pengujian yang dilakukan yaitu pembacaan data oleh sensor PZEM-004T cukup akurat dengan eror dibawah 5% jika dibandingkan dengan alat ukur yang sudah beredar dipasaran.
Analisis Akurasi Sistem Sensor IR MLX90614 dan Sensor Ultrasonik berbasis Arduino terhadap Termometer Standar Inayah, Inayatul
Jurnal Fisika Unand Vol 10 No 4 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.10.4.428-434.2021

Abstract

Studi uji perbandingan suhu tubuh telah dilakukan menggunakan sensor IR MLX90614 dengan termometer standar. Sistem dirancang menggunakan sensor IR MLX90614 dan sensor ultrasonik HC-SR04 berbasis arduino. Penelitian ini bertujuan untuk mengetahui kinerja sensor IR MLX90614 berdasarkan jarak dan membandingkan hasil pengukurannya dengan termometer standar model: AD80. Dalam penelitian ini, digunakan metode perbandingan langsung antara sensor IR MLX90614 dan termometer standar. Pengujian dilakukan dengan metode repeatabilty sebanyak 3 kali pada variasi jarak 10 – 60 cm. Pengujian ini dilakukan pada telapak tangan 3 orang dewasa yang berbeda. Berdasarkan data sheet sensor IR MLX90614, sistem memiliki akurasi yang baik jika sistem memiliki nilai error ±0.3oC. Akurasi ini terdapat pada pengujian dengan jarak 10, 20, dan 30 cm dengan rata-rata akurasi yaitu 99.7%, 99.5%, dan 99.7%.
Development of An IoT-Based Heart Rate Monitoring System Using Android Application Achmad Dimyati; Inayatul Inayah; Lis Sa'odah; M. Yusuf
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 2 (2025): November 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i2.89724

Abstract

Real-time heart rate monitoring plays an important role in early detection of cardiovascular anomalies. However, many existing IoT-based solutions still lack seamless integration of real-time sensing, cloud synchronization, and mobile visualization. This study develops and evaluates an IoT-based heart rate monitoring system using a pulse sensor, Arduino Uno, NodeMCU ESP8266, Firebase real-time database, and an Android application. Experimental testing involving six participants and 60 measurement samples demonstrates that the system achieves a high accuracy of 98.63% compared to a standard fingertip oximeter, with an average error rate of 1.37%, indicating reliable and stable performance. The system supports continuous data acquisition, real-time cloud storage, and mobile access, enabling users to view live and historical heart rate trends through the Android interface. The main contributions of this research include an end-to-end integrated IoT architecture for continuous monitoring, empirical validation of accuracy using a medical-grade comparator, and the provision of time-stamped cloud-based heart rate data for remote health monitoring. These findings confirm the feasibility and significance of IoT–mobile integration as an accessible solution for continuous cardiovascular monitoring.