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Irdayanti, Yeni
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Aplikasi Fuzzy Logic Controller Untuk Pengukuran Suhu Tubuh Dan Detak Jantung Pada Anak Autism Spectrum Disorder Menggunakan Socially Assistive Robot Prihatini, Ekawati; Irdayanti, Yeni; Rafly, Muhammad
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.733

Abstract

In the development of electronic technology, especially robots, they have played an important role in the medical field, including for overcoming the anxiety of autistic children and their health. This study used a SAR (Socially Assistive Robot) robot equipped with a heart rate and body temperature sensor to help reduce and indicate the anxiety and also health of autistic children. The MAX30100 sensor was used to detect heart rate, while the GY906 sensor was used to detect body temperature. The robot's response resembled a hand movement, which was a sign that a child's body temperature and heart rate were out of the ordinary (abnormal). The aim was to provide assistance to autistic children in dealing with anxiety and their health, making it easier for teachers to supervise autistic children, which could affect their emotional and social development. By using a fuzzy logic controller to analyze the response of MAX30100 sensors and GY906 sensors working optimally or not, with servo motor output.
The Speech Recognition Approaches for Emotion Regulation in Socially Assistive Robot Prihatini, Ekawati; Irdayanti, Yeni; Susanto, Naziatul Husna
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.736

Abstract

Socially Assistive Robot (SAR) can be created and used to assist children with special needs specifically those with autism, to manage their emotions through the therapy they need, which is then programmed into the robot. The therapy used on the robot is Applied Behavioral Analysis (ABA) therapy in the form of a guessing game with pictures. This therapy utilizes one of the methods in the robot's program, which is Speech Recognition, to provide feedback from the child using the robot. Speech recognition plays a role in facilitating the interaction between the child and the robot. When the picture-guessing game starts, the robot displays an image on the LCD screen and asks the child to guess the name of the object shown in the picture. At that moment, Speech Recognition works by recording the child's voice and converting it into text, then comparing the child's answer with the correct answer. When the child answers correctly, the robot provides praise, while if the child answers incorrectly, the robot encourages the child to try answering correctly again. This system allows the Socially Assistive Robot to support children with autism in managing their emotions by combining the ABA therapy method with the program's interactive feature enabled by Speech Recognition. Speech Recognition enhances communication and interaction between the child and the robot, creating a supportive and engaging therapeutic experience.
Perancangan Deteksi Suara Paru Paru Berbasis DSP TMS320C6416T dan Module Wireless Meranda, Arganda; Alfarizal, Niksen; Husni, Nyayu Latifah; Pratama, Destra Andika; Irdayanti, Yeni; Handayani, Ade Silvia
TEKNIKA Vol. 14 No. 2 (2020): Teknika Juli - Desember 2020
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13368220

Abstract

AbstrakParu-paru merupakan organ tubuh pada manusia dalam menjalankan sistem respirasi (pernapasan), dan berfungsi sebagai bertukarnya oksigen dan karbondioksida. Untuk mendeteksi suara paru-paru diperlukan stetoskop sebagai alat untuk mendengarkan suara pada paru-paru. Teknik ini disebut sebagai auskultasi, dimana pada teknik ini banyak batasan dan kekurangan. Untuk mengatasi permasalahan tersebut maka pada penelitian ini diusulkan sebuah teknik auskultasi yang dimodifikasi dengan electret condenser microphone untuk menangkap suara pada paru-paru. Tipe yang digunakan electret condenser microphone yaitu unidirectional (cardioid). Sinyal listrik yang dihasilkan oleh electret condenser microphone dikuatkan lagi menggunakan pre-amplifier karna sinyal listrik yang dihasilkan electrets condenser microphone sangat kecil. Pre-amplifier yang digunakan yaitu tube ultragain mic100. Sinyal yang dikuatkan dengan pre-amplifier masih berbentuk sinyal listrik, sinyal listrik ini akan diproses di DSP untuk mengubah sinyal menjadi data diskrit untuk mengubah sinyal suara ke sinyal listrik analog. Sinyal analog akan diubah melalui unit ADC agar dapat berubah menjadi sinyal digital kemudian DSP akan menerima sinyal digital dan memproses data digital tersebut yang kemudian sinyal disimpan dalam bentuk  file .wav. File .wav yang disimpan kemudian dipindahkan ke android melalui RobotDyn UNO+WIFI sebagai media komunikasi. RobotDyn UNO+WIFI yang digunakan yaitu tipe  ATmega328p+ESP8266 CH340G, file .Wav diproses dan diputar untuk dapat divisualisasikan pada android sehingga mempermudah dokter dalam menganalisa suara paru-paru pasien.  Kata kunci:  Suara paru-paru, Stetoskop, Electret Condenser Microphone, Pre-Amplifier dan DSP TMS320C6416T, dan RobotDyn UNO+WIFI ATmega328p+ESP8266 CH340G. AbstractThe lungs are organs in the human body in carrying out the respiratory system (breathing).  It function as the exchange of oxygen and carbon dioxide. To detect lung sounds, a stethoscope is needed as a tool to listen the sounds in the lungs. This technique is called auscultation.  In this technique, there are many limitations and disadvantages. Thus, to overcome this problem, this study proposed an auscultation technique modified with an electret condenser microphone to capture sounds in the lungs. The type used by the electret condenser microphone is unidirectional (cardioid). The electrical signal generated by the electret condenser microphone is amplified using a pre-amplifier because the electrical signal generated by the electrets condenser microphone is very small. The pre-amplifier used is the mic100 ultragain tube. The signal that is amplified by the pre-amplifier is still in the form of an electrical signal, this electrical signal will be processed on the DSP to convert the signal into discrete data to convert the sound signal to an analog electrical signal. The analog signal will be converted through the ADC unit so that it can be transformed into a digital signal then the DSP will receive a digital signal and process the digital data which is then stored in the form of a .wav file. The saved .wav file is then transferred to android via RobotDyn UNO + WIFI as a communication medium. RobotDyn UNO + WIFI used is the type ATmega328p + ESP8266 CH340G, .Wav files are processed and played so that it can be visualized on Android making it easier for doctors to analyze the sound of a patient's lungs. Keywords:  Lung sounds, Stethoscope, Electret Condenser Microphone, Pre-Amplifier and DSP TMS320C6416T, and RobotDyn UNO + WIFI ATmega328p + ESP8266 CH340G.
Sistem Monitoring dan Pengaturan Kualitas Udara Dalam Ruangan Berbasis Internet of Things Irdayanti, Yeni; Azzahra, Ahlika; Alrasyid, Johansyah
Jurnal Ampere Vol. 10 No. 1 (2025): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v10i1.18193

Abstract

Humans spend almost 90% of their time indoors, making indoor air quality very important for health. According to the Regulation of the Minister of Health of the Republic of Indonesia, the ideal indoor humidity is 40-60%, while experts recommend 45-65%. The maximum allowable level of carbon monoxide (CO) is 9 PPM and carbon dioxide (CO2) is 1000 PPM. Non-ideal air quality parameters can have a negative impact on health, so the use of tools such as air filters and humidifiers is highly recommended to maintain air quality. This research aims to develop an indoor air quality monitoring system with control in the form of an ESP32 module. The system is equipped with an MQ135 sensor to detect CO2 levels, an MQ7 sensor to detect CO levels, and a DHT22 sensor to measure temperature and humidity. Data from the sensor is displayed directly on the LCD and the smartphone app whose value comes from ThingSpeak. The system also has LEDs as indicators, an Exhaust Fan that activates when CO2 and CO levels exceed safe limits, and an automatic humidifier if the humidity is below the recommended value range. In addition, this device is equipped with an ultrasonic sensor to measure the water level in the humidifier and buzzer as an indicator when the water is low. The tool can also be controlled manually which can provide flexibility for users to adjust the air conditions as needed
Sistem Monitoring dan Pengaturan Kualitas Udara Dalam Ruangan Berbasis Internet of Things Irdayanti, Yeni; Azzahra, Ahlika; Alrasyid, Johansyah
Jurnal Ampere Vol. 10 No. 1 (2025): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v10i1.18193

Abstract

Humans spend almost 90% of their time indoors, making indoor air quality very important for health. According to the Regulation of the Minister of Health of the Republic of Indonesia, the ideal indoor humidity is 40-60%, while experts recommend 45-65%. The maximum allowable level of carbon monoxide (CO) is 9 PPM and carbon dioxide (CO2) is 1000 PPM. Non-ideal air quality parameters can have a negative impact on health, so the use of tools such as air filters and humidifiers is highly recommended to maintain air quality. This research aims to develop an indoor air quality monitoring system with control in the form of an ESP32 module. The system is equipped with an MQ135 sensor to detect CO2 levels, an MQ7 sensor to detect CO levels, and a DHT22 sensor to measure temperature and humidity. Data from the sensor is displayed directly on the LCD and the smartphone app whose value comes from ThingSpeak. The system also has LEDs as indicators, an Exhaust Fan that activates when CO2 and CO levels exceed safe limits, and an automatic humidifier if the humidity is below the recommended value range. In addition, this device is equipped with an ultrasonic sensor to measure the water level in the humidifier and buzzer as an indicator when the water is low. The tool can also be controlled manually which can provide flexibility for users to adjust the air conditions as needed
Penerapan Metode Logika Fuzzy Untuk Sistem Otomatis Perawatan Succulent Dengan Menggunakan Matlab Irdayanti, Yeni; Damsi, Faisal; Lesmana, Muhammad Agang
TEKNIKA Vol. 20 No. 1 (2026): Teknika Januari 2026 (In Progress)
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17850719

Abstract

Tanaman succulent sangat sensitif terhadap kesalahan dalam perawatan terutama dalam proses penyiraman dan pencahayaan. Penelitian ini merancang sistem otomasis sederhana untuk perawatan tanaman succulent agar dapat memberikan kondisi yang ideal dengan menerapkan metode logika fuzzy. Sistem ini memanfaatkan empat jenis sensor kelembapan tanah, intensitas cahaya, suhu, dan kelembapan udara yang dihubungkan ke mikrokontroler ESP32. Data yang diperoleh diklasifikasikan dalam tiga level (rendah, sedang, tinggi) dan dianalisis menggunakan seperangkat aturan logika fuzzy untuk menentukan waktu aktivasi tiga pompa air dan satu lampu. Keputusan kendali diproses menggunakan MATLAB Fuzzy Logic Toolbox, sementara sinyal kendali dikirim ke aktuator melalui sinyal PWM dari ESP32. Hasil simulasi dan pengujian menunjukkan bahwa sistem dapat menjaga lingkungan tumbuh ideal bagi tanaman succulent, yaitu menjaga kelembapan tanah pada kisaran 40–60%, pencahayaan antara 200–300 lux, suhu 20–25 °C, dan kelembapan udara 50–70%. Sistem memberikan respons dalam waktu kurang dari 30 detik, dengan lonjakan (overshoot) kurang dari 5% dan kesalahan rata-rata (RMSE) di bawah 3%. Jika dibandingkan dengan sistem manual, solusi ini mampu menghemat penggunaan air hingga 25% dan konsumsi energi sebesar 20%. Data lingkungan terekam secara otomatis pada penyimpanan data dan dapat diakses secara jarak jauh melalui notifikasi berbasis IoT. Penelitian ini menegaskan bahwa logika fuzzy efektif untuk pengendalian otomatis multi aktuator dalam pemeliharaan tanaman succulent. Sistem ini juga memiliki peluang untuk dikembangkan lebih lanjut, termasuk integrasi dengan teknologi IoT untuk budidaya tanaman succulent. Sistem ini merupakan solusi efisien dan praktis untuk otomasi perawatan tanaman succulent.
Co-Authors Ade Silvia Handayani Alfarizal, Niksen Alrasyid, Johansyah Azzahra, Ahlika Faisal Damsi, Faisal Lesmana, Muhammad Agang Meranda, Arganda Nyayu Latifah Husni, Nyayu Latifah Pratama, Destra Andika Prihatini, Ekawati Rafly, Muhammad Susanto, Naziatul Husna