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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal Teknika Jurnal Teliska ICON-CSE Annual Research Seminar Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu Jurnal Pendidikan dan Konseling Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Smart Electrical Network and System (JASENS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL POLI-TEKNOLOGI Malcom: Indonesian Journal of Machine Learning and Computer Science
Husni, Nyayu Latifah
Politeknik Negeri Sriwijaya
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Implementasi Metode Fuzzy Mamdani Pada Alat Kesehatan Nirkabel Berbasis Android dan iOS Ade Silvia Handayani; Elisa Islami Putri; Linda wati; Nyayu Latifah Husni; Hertani Indah Lestari; Moh Heri Kurniawan; Mega Hasanul Huda
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i4.3017

Abstract

In today's technological developments, wireless communication provides many possibilities to be able to share information with each other anytime and anywhere and in various fields of life such as health services and the industrial world. One of the wireless communication technologies commonly used in health services is WBAN (Wireless Body Area Network), where WBAN (Wireless Body Area Network) can monitor a person's health condition anywhere and anytime by placing sensors around the body. In order for this monitoring process to be more effective and efficient, an application based on Android and IOS systems is designed that can display monitoring results in real time and can be used for patients or medical personnel. In addition, to minimize the performance of medical personnel in diagnosing patient conditions, an automatic diagnosis system is applied by utilizing fuzzy mamdani logic in making decisions from the measurement results obtained on the sensor.
Peranan PT. Pertamina EP Prabumulih Field dalam Mendukung Danau Shuji Menjadi Desa Wisata di Kabupaten Muara Enim Hengky Rosadi; Erwin Hendra Putra; Emi Ulfianah; Almira Chairunnisa; Renny Maulidda; Nyayu Latifah Husni; Ade Silvia Handayan
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 5 (2022): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i5.6732

Abstract

Desa Lembak yang berada di Kabupaten Muara Enim, memiliki sektor wisata yang sangat potensial untuk dikembangkan. Maka pemerintah Kabupaten Muara Enim membuat kebijakan untuk melibatkan pelaksana usaha dalam rangka berkontribusi dalam pengembangan pariwisata dan ekonomi kreatif. Untuk mendukung kebijakan tersebut, Pertamina EP Prabumulih Field merespon kebijakan tersebut sebagai suatu inovasi sosial dan memenuhi kebutuhan sosial warga-warga di Desa Lembak yang disebut dengan Program Lembak Desa Wisata Shuji (Mbak Dewi Shuji). Adapun tujuan dilakukan program ini adalah untuk memberikan solusi dalam peningkatan pendapatan ekonomi bagi warga Desa Lembak dan sekitarnya. Metode yang digunakan dalam kegiatan ini adalah metode pendampingan dengan teknik pengumpulan data secara observasi, wawancara dan dokumentasi. Dengan adanya desa wisata Danau Shuji ini, telah mampu menciptakan lapangan kerja bagi warga lokal dan menjadi salah satu penggerak perekonomian di Desa Lembak melalui program ekowisata dan hasilnya telah dapat menstimulasi dan bahkan meningkatkan kesejahteraan masyarakat secara menyeluruh sebagai perwujudan dan pembangunan sosial. Sehingga kebermanfaatan dari program ini bukan hanya dirasakan oleh segelintir orang atau kelompok saja, tetapi juga oleh warga disekitaran Kabupaten Muara Enim.
The Design of Wireless Medical Devices with Multi-sensor Using Android and iOS-Based Smartphone Displays Ade Handayani; Mutiara Amanda; M. Zakuan Agung; Nyayu Latifah Husni; Hertanti Indah Lestari; Moh Heri Kurniawan; Mega Hasanul Huda
Jurnal E-Komtek Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.1007

Abstract

In this study, a multisensor wireless medical device was designed using several sensors, such as body temperature, oxygen levels, blood pressure, and heart rate, that connects to the application and applies WBAN technology. The design of this tool applied the principle of IoT, where a system that can monitor body health is needed, a remote monitoring system on the smartphone. The data obtained by the tool is sent to the server to be later forwarded to the application. In this study, Fuzzy Mamdani's method was used to implement the health status. The IoT principle makes it effortless for users to access or use pre-designed tools. Therefore, in this study, the IoT principle is employed to make it more efficient and easier for users to read the results because the data will be forwarded to applications installed on users' smartphones, both Android and iOS-based.
Littering Activities Monitoring using Image Processing Nyayu Latifah Husni; Ade Silvia Handayani
Computer Engineering and Applications Journal Vol 12 No 3 (2023)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v12i3.427

Abstract

Littering is a human behavior that become a habit since childhood. Even though there are rules that prohibit this behavior, the community still continues to do so. In order to limit this bad behavior, a device that can monitor and provide notifications is needed. In this research, a device is offered that can identify human activities in real time using webcam-based image processing. Then, it is processed by machine learning using the Recurrent Neural Network (RNN). The monitoring device produced in this research works by comparing the captured image data with a dataset. The captured image data will then be extracted features and form several coordinate points on the human body, then the system will classify these human activities into the category of normal activities or littering activities. This device will provide an output in the form of a warning every time the activity of littering is detected.
The Design of Wireless Medical Devices with Multi-sensor Using Android and iOS-Based Smartphone Displays Handayani, Ade; Mutiara Amanda; M. Zakuan Agung; Nyayu Latifah Husni; Hertanti Indah Lestari; Moh Heri Kurniawan; Mega Hasanul Huda
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.1007

Abstract

In this study, a multisensor wireless medical device was designed using several sensors, such as body temperature, oxygen levels, blood pressure, and heart rate, that connects to the application and applies WBAN technology. The design of this tool applied the principle of IoT, where a system that can monitor body health is needed, a remote monitoring system on the smartphone. The data obtained by the tool is sent to the server to be later forwarded to the application. In this study, Fuzzy Mamdani's method was used to implement the health status. The IoT principle makes it effortless for users to access or use pre-designed tools. Therefore, in this study, the IoT principle is employed to make it more efficient and easier for users to read the results because the data will be forwarded to applications installed on users' smartphones, both Android and iOS-based.
Utilization of Single Phase Pure Sine Wave Inverters in Electrical Energy Conversion Systems for Solar Panels with Variable Loads Yudi Wijanarko; Ekawati Prihatini; Selamat Muslimin; Nyayu Latifah Husni; Muhammad Khoirun Nadir
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6478

Abstract

The inverter built in this research is used to convert direct current into alternating current with a size of 3000 watts, which has a DC input voltage of 24 volts. This inverter has a large capacity and can generate enough electricity to run different huge electrical devices or several units at once. It's made utilizing energy-efficient technology to cut down on energy waste during conversion. Furthermore, safeguards such voltage surge and overcurrent prevention guarantee the operational safety of the inverter. The inverter was built using the PWM method and variable loads (resistive load, inductive load and capacitive load), with the aim of evaluating the inverter's ability to handle resistive, inductive and capacitive loads and to see how the inverter responds to load changes dynamically. Based on observations and calculations, higher loads are positively correlated with higher inverter power and efficiency. The inverter has a max output of 664.62 watts and 229 Volt is the output voltage attained. This demonstrates that the EGS002 PSW inverter produces AC voltage of high quality with precise and steady characteristics.
Klasifikasi Gerak Terapi untuk Anak Autis dengan Metode CNN pada Robot SAR (Socially Assistive Robot) Ekawati Prihatini; Nyayu Latifah Husni; Revaldi Andrean
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.v10i1.15991

Abstract

Children with autism often have difficulties in social interaction and communication. Socially Assistive Robots (SAR) can be utilized to help them develop social and communication skills. One of the important aspects in interaction with robots is the ability of the robot to detect the motion of autistic children. This research aims to implement the Convolutional Neural Network (CNN) method on the SAR robot to detect the motion of autistic children. The CNN method was chosen because of its ability to recognize image patterns and detect objects with high accuracy. The image dataset used in this study consists of images taken using a cellphone camera manually with various poses from various points of view. The results show that the CNN method is able to recognize the movements of autistic children with high precision, thus supporting more effective interaction between the robot and the child. Challenges such as large dataset requirements and significant training time were overcome through optimization of the training process. This optimization led to improved model efficiency, reducing computation time while maintaining high accuracy.
Klasifikasi Gerak Terapi untuk Anak Autis dengan Metode CNN pada Robot SAR (Socially Assistive Robot) Ekawati Prihatini; Nyayu Latifah Husni; Revaldi Andrean
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.v10i1.15991

Abstract

Children with autism often have difficulties in social interaction and communication. Socially Assistive Robots (SAR) can be utilized to help them develop social and communication skills. One of the important aspects in interaction with robots is the ability of the robot to detect the motion of autistic children. This research aims to implement the Convolutional Neural Network (CNN) method on the SAR robot to detect the motion of autistic children. The CNN method was chosen because of its ability to recognize image patterns and detect objects with high accuracy. The image dataset used in this study consists of images taken using a cellphone camera manually with various poses from various points of view. The results show that the CNN method is able to recognize the movements of autistic children with high precision, thus supporting more effective interaction between the robot and the child. Challenges such as large dataset requirements and significant training time were overcome through optimization of the training process. This optimization led to improved model efficiency, reducing computation time while maintaining high accuracy.
SOSIALISASI SISTEM INTERVENSI BERBASIS AI UNTUK MENGELOLA TANTRUM ANAK AUTISME DI SLB AUTIS TALANG KELAPA PALEMBANG Nyayu Latifah Husni; Masayu Anisah; Abdurrahman; Selfi Nurhaliza; Deden Lasmana; Dewi Permata Sari
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 7 No 3 (2024): Aptekmas Volume 7 Nomor 3 2024
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

This community service activity aims to introduce an artificial intelligence (AI)-based intervention device for managing tantrums in children with autism at SLB Autis Talang Kelapa Palembang. Tantrums in children with autism are often caused by their inability to express emotions, which can disrupt the learning process and affect their surrounding environment. Through the socialization of an AI device utilizing MediaPipe technology, teachers and staff were trained to quickly detect early signs of tantrums and provide interventions in the form of music designed to calm autistic children. The results of this activity indicate improved understanding among teachers, staff, and parents in detecting and responding to tantrums more effectively. The implementation of this device has been proven to reduce both the frequency and intensity of tantrums, thereby creating a more conducive learning environment for children with autism.
PELATIHAN PENGGUNAAN ROBOT SAR UNTUK MONITORING TEKANAN DARAH ANAK AUTISM Ramadhani, Dwi; Ekawati Prihatini; Faisal Damsi; Yessi Marniati; Selamat Muslimin; Nyayu Latifah Husni; Husni, M. Daffa Ramadhan
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 7 No 3 (2024): Aptekmas Volume 7 Nomor 3 2024
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

Autism Spectrum Disorder (ASD) is a developmental neurological condition marked by challenges in social communication and repetitive, restrictive behaviors. In Indonesia, there are approximately 2.4 million individuals with ASD, with an additional 500 new cases emerging annually. Anxiety is a prevalent issue among children with ASD, often going unnoticed due to their limited ability to express emotions. To address this, a Socially Assistive Robot (SAR) with a blood pressure sensor can be used to monitor anxiety levels by tracking vital signs, particularly blood pressure, offering an indirect method to detect anxiety. Yayasan Gentaralam SLB Autis in Sumatra Selatan provides crucial support for children with autism, and this project seeks to introduce SAR robots to aid in their care. The robots will serve as non-pharmacological tools to help identify and manage anxiety in children. SAR robots, designed to engage socially, can monitor anxiety by measuring physiological responses, providing a less intrusive yet effective method of assessment. The success of using SAR robots to detect anxiety levels in autistic children depends on various factors, including the child’s autism severity, the setting in which the robot is used, and the child’s emotional condition during the interaction
Co-Authors Abdurahman Abdurrahman Abu Hasan Ade Handayani Ade Silvia Ade Silvia Ade Silvia Ade Silvia Handayan Ade Silvia Handayani Adella Rialita Afiifa Aaliyah Maharani Ahmad Ridwan Al Fatur Sayid Almira Chairunnisa Amperawan Amperawan Deden Lasmana Destra Andika Dewi Permata Sari Dewi, Tresna DWI RAMADHANI Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Elisa Islami Putri Emi Ulfianah Erwin Hendra Putra Evelina Evelina Evelina, Evelina Faisal Damsi Faisal Damsi Faisal Damsi Falah Yuridho Farida Isroani Firdaus Firdaus Handayani, Ade Hengky Rosadi Hertani Indah Lestari Hertanti Indah Lestari Hj. Lindawati Husni, M. Daffa Ramadhan Irawan Hadi Irsyadi Yani Iskandar Lutfi Laksono Trisnantoro Linda Wati M. Sobri M. Zakuan Agung Masayu Anisah Masayu Anisah Masayu Annisah Mayastri Devana Mega Hasanul Huda Moch Fachri Moh. Heri Kurniawan Muhammad Arief Hidayat Muhammad Bagaskara Muhammad Khoirun Nadir Mutiara Amanda Najiah Murada Permatasari, Rosmalinda Pola Risma Renny Maulidda Revaldi Andrean Riska Handayani Rizky Vira Robi Robi Rumiasih Rumiasih Sabilal Rasyad Sabilal Rasyad Sanyyah Plowerita Selamat Muslimin Selamat Muslimin Selfi Nurhaliza Sitangsu Sitangsu Siti Nurmaini Sopian Soim Sopian Soim, Sopian Tarmidi Tarmidi Theresia Enim Agusdi Tresna Dewi Tresna Dewi Tresna Dewi Yessi Marniati Yudi Wijanarko Yurni Oktarina