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All Journal Kitektro InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Green Intelligent Systems and Applications Jurnal INFOTEL
Yunidar Yunidar
Department Of Elect Rical Engineering And Computer, Engineering Faculty, University Of Syiah Kuala, Banda Aceh, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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PROTOTIPE SISTEM MONITORING DAN PERINGATAN DINI KONDISI TUBUH MANUSIA BERDASARKAN SUHU DAN DENYUT NADI BERBASIS MIKROKONTROLER 328P Achmi Yuliani; Yunidar Yunidar; Yuwaldi Away
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 2, No 4 (2017)
Publisher : Universitas Syiah Kuala

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

Abstract

Abstrak— Parameter untuk menentukan kondisi kesehatan seseorang antara lain dengan mengukur suhu tubuh dan denyut nadi. Dalam penelitian ini dirancang suatu prototipe sistem monitoring dan peringatan dini kondisi tubuh manusia berdasarkan suhu dan denyut nadi berbasis mikrokontroler 328p, yang bertujuan untuk mengetahui denyut nadi dan suhu tubuh sebelum diambil tindakan secara medis. Prototipe monitoring denyut nadi ini dirancang menggunakan sensor pulse, sensor suhu dan Real Time Clock (RTC). Data yang sudah terbaca pada prototipe tersebut kemudian diproses oleh mikrokontroler 328P dan ditampilkan pada layar Liquid Crystal Display (LCD). Prototipe ini kemudian diuji kepada orang dewasa dalam dua keadaan yaitu dalam keadaan normal dan dalam keadaan tidak normal. Setelah dilakukan pengujian dengan alat pembanding yang sudah terkalibrasi (thermometer dan pulse oximeter mindary) didapatkan nilai galat pengukuran, yaitu sebesar 0,5% untuk data suhu tubuh dan untuk data  pengujian  denyut nadi adalah 0,9%. Kata kuci: pulse sensor, sensor suhu, RTC, LCD, mikrokontroler 328P.
SISTEM AUTOMASI PENGERING DAUN KELOR UNTUK PEMBUATAN TEH ALAMI BERBASIS MIKROKONTROLER ATMEGA328P Al Bahri; Yunidar Yunidar; Mohd. Syaryadhi; Melinda Melinda; M Fahrur Rozi
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 6, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v0i0.23664

Abstract

Moringa Oleifera atau daun kelor dikenal sebagai salah satu makanan yang dikenal dunia sebagai superfood. Salah satu manfaat daun kelor adalah sebagai bahan baku pengolahan teh alami. Dalam proses pengolahan teh daun kelor alami, ada langkah-langkah tertentu yang perlu diperhatikan, yaitu langkah mengeringkan daunnya. Proses pengeringan daun kelor dilakukan pada suhu 30-35° untuk menjaga kandungan nutrisi tetap utuh dan dilakukan tanpa sinar matahari langsung hingga kadar air mencapai maksimal 8% dari berat aslinya. Penelitian ini bertujuan untuk merancang alat pengering daun kelor menggunakan mikrokontroler ATmega328P dengan mengontrol fan, exhaust, elemen pemanas, buzzer dan layar LCD dari pembacaan sensor suhu DS18B20 dan sensor berat. Menurut hasil pengujian, pengering ini dapat menghasilkan daun kelor kering dengan kelembaban 8%, suhu pengeringan sekitar 30-35° C, untuk menjaga kandungan nutrisi pada daun kelor.
Penerapan Metode Perancangan Virtual Reality: Tinjauan Literatur Nurrizqa Nurrizqa; Syahrial Syahrial; Rizal Munadi; Yunidar Yunidar
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 2 (2021): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i2.3458

Abstract

Virtual Reality (VR) merupakan teknologi visual yang menyajikan tampilan alam maya sehingga sama persis dengan dunia nyata yang disimulasikan oleh komputer. Pengembangan aplikasi VR telah banyak digunakan dalam berbagai bidang dan aspek pada kehidupan. Dalam perancangan VR membutuhkan skenario yang kompleks agar aplikasi yang dikembangkan mendapatkan hasil yang terbaik. Artikel ini menjelaskan tentang metode-metode yang dapat digunakan dalam perancangan aplikasi berbasis virtual environment atau virtual reality.Ada 3 metode yang dievaluasi, metode Kaur, metode VRID dan metode Polcar. Metode Kaur menekankan pada perancangan dengan fokuspada bagian interaksi terhadap pengguna dalam dunia virtual, metode VRID berfokus merancang bagian interface atau antarmuka pada dunia virtual, dan metode Polcar merencanakan keseluruhan aspek pada setiap bagian secara detail pada perancangan dunia virtual. Artikel ini bertujuan untuk menjelaskan ketiga metode tersebut dan kegunaandari masing-masing metode untuk membantu perancang dalam memilih metode yang tepat untuk membangun aplikasi VR.
Analisis penerapan tapis Wiener pada segmentasi pola fluktuasi spektral Melinda Melinda; Elizar Elizar; Yunidar Yunidar; Muhammad Irhamsyah
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 1, Year 2021 (January 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2020.13868

Abstract

Tapis Wiener merupakan suatu tapis adaptif yang dapat digunakan untuk menghasilkan perkiraan yang diinginkan. Selain itu, tapis ini juga dapat menekan derau pada pengolahan sinyal digital. Kajian melakukan segmentasi terhadap pola fluktuasi yang merupakan hasil akuisisi data dari sebuah sensor kapasitif dengan objeknya H2O. Pola fluktuasi yang diolah adalah pola fluktuasi tinggi (HF, High Fluctuation) dengan cara membagi pola tersebut ke dalam beberapa segmen sesuai dengan frekuensi masukan. Hal ini bertujuan untuk dapat melihat lebih detil dan jelas keadaan setiap segmentasi dari pola tersebut. Hasilnya menunjukkan peredaman dan penekanan derau setelah ditapis dengan tapis Wiener. Selain itu, nilai SNR juga dianalisis dan menunjukkan bahwa kualitas sinyal semakin baik sesudah penerapan tapis Wiener. Analisis hasil nilai MSE mampu memberikan hasil yang lebih konsisten dengan rata-rata kesalahan yang lebih kecil.
Finite Impulse Response Filter for Electroencephalogram Waves Detection Melinda Melinda; Syahrial; Yunidar; Al Bahri; Muhammad Irhamsyah
Green Intelligent Systems and Applications Vol. 2 Iss. 1 (2022)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.572 KB) | DOI: 10.53623/gisa.v2i1.65

Abstract

Electroencephalographic data signals consist of electrical signal activity with several characteristics, such as non-periodic patterns and small voltage amplitudes that can mix with noise making it difficult to recognize. This study uses several types of EEG wave signals, namely Delta, Alpha, Beta, and Gamma. The method we use in this study is the application of an impulse response filter to replace the noise obtained before and after the FIR filter is applied. In addition, we also analyzed the quality of several types of electroencephalographic signal waves by looking at the addition of the signal to noise ratio value. In the end, the results we get after applying the filter, the noise that occurs in some types of waves shows better results.
Classification of EEG Signal using Independent Component Analysis and Discrete Wavelet Transform based on Linear Discriminant Analysis Melinda Melinda; Oktiana Maulisa; Nissa Hasna Nabila; Yunidar Yunidar; I Ketut Agung Enriko
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1219

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopment syndrome decreasing sufferers' social interaction, communication skills, and emotional expression. Autism syndrome can be detected using an electroencephalogram (EEG). This study utilized the EEG of autistic people to support the classification study of machine learning schemes to produce the best accuracy. One of the best approaches to classify the EEG signal is The Linear Discriminant Analysis (LDA), a machine learning technique to classify autism and normal EEG signals. LDA was chosen because it can maximize the distance between classes and minimize the number of scatters by utilizing between and within-class functions. This method was combined with other methods: Independent Components Analysis (ICA) and Discrete Wavelet Transform (DWT), to improve the accuracy system. ICA removes artifacts or signals other than brain signals that can cause noise in the EEG signal, so the analyzed signal was a complete EEG signal without other factors. DWT can help increase noise suppression in the EEG signal and provide signal information through frequency and time representation. The EEG dataset was collated from 16 children (eight autistic and eight normal). The signals from the dataset were filtered by artifacts using ICA, decomposed by three levels through DWT, and classified using the Linear Discriminant Analysis (LDA) technique. Using the Confusion Matrix, the results reveal the best accuracy of 99%.
The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method Melinda Melinda; I Ketut Agung Enriko; Muhammad Furqan; Muhammad Irhamsyah; Yunidar Yunidar; Nurlida Basir
JURNAL INFOTEL Vol 15 No 1 (2023): February 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i1.874

Abstract

Autism spectrum disorder (ASD) is a serious mental disorder affecting social behavior. Some children also face intellectual delay. In people with ASD, the signals detected have abnormalities compared to normal people. This can be a reference in diagnosing the disorder with electroencephalography (EEG). This study will analyze the effect of Power spectral density (PSD) on the EEG of autistic children and also compare it with the PSD value on the EEG of normal children using the Welch Periodogram method approach. In the preprocessing stage, the Independent Component Analysis (ICA) method will be applied to remove artifacts, and a Finite Impulse Response (FIR) filter to reduce noise in the EEG signal. The study results indicate differences in the PSD values ​​obtained in the autistic and normal EEG signals. The PSD value obtained in the autistic EEG signal is higher than the normal EEG signal in all frequency sub-bands. From the study results, the highest PSD value obtained by the autistic EEG signal is in the delta sub-band, which is 54.06 dB/Hz, while the normal EEG signal is only 33.14 dB/Hz at the same frequency sub-band. And in the Alpha and Beta sub-bands, the normal EEG signal increases the PSD value, while in the autistic EEG signal, the PSD value decreases in the Alpha and Beta sub-bands. In addition, FIR and ICA methods can also reduce noise and artifacts contained in autistic and normal EEG signals.
Application of Convolutional Neural Network (CNN) Method in Fluctuations Pattern Melinda Melinda; Yunidar Yunidar; Nur Afny Catur Andryani
Green Intelligent Systems and Applications Vol. 3 Iss. 2 (2023)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v3i2.270

Abstract

In the acquisition of amplitude data, the inaccuracy of a signal with the occurrence of an unstable peak value of the amplitude in the data is called a fluctuation. This study uses High-High Fluctuation (HHF) signal data from the acquisition of Multi-Spectral Capacitive Sensors (MSCS) with Hydrogen Dioxide (H2O) and Hydrogen Dioxide (H2O) objects mixed with Sodium Hydroxide (NaOH) that have been organized into a matrix form. The data acquisition results in previous studies have several parts that are difficult to distinguish with the naked eye. The method used in this study applies the CNN method for image recognition of signal fluctuations of type HHF from H2O and H2O mixed with NaOH, using the architecture known as AlexNet. Then, the H2O and H2O data groups mixed with NaOH were grouped into training data groups of 280 image data for each data type, and 70 image data for test data for both groups. During the training stage, the number of epochs used is 20. However, by the time the number of epochs reaches 15, the accuracy rate is already high, reaching 98%. Furthermore, at the testing stage, the CNN program can correctly recognize the entire 70 image data for both materials, achieving perfect recognition for the total amount of the two materials.
Implementation of System Development Life Cycle (SDLC) on IoT-Based Lending Locker Application Melinda Melinda; Shaquille Rizki Ramadhan Na; Yudha Nurdin; Yunidar Yunidar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.5047

Abstract

Libraries are social institutions that provide information services that can be accessed publicly to meet the information needs of librarians. Based on the results of a survey conducted on 58 students who have visited the library of the Electrical and Computer Engineering Department of the Universitas Syiah Kuala, an information system was needed that provided research book information related to the author's name, year of writing, field concentration, and abstract of the research book, and there was a division of categories based on field concentration, and there was an online borrowing feature. Based on these problems, this study aims to implement an Android application system with IoT-based lending lockers using the SDLC (system development life cycle) prototyping method. This study produces an application with a locker-based online lending feature, several other features as the user desires, and one prototype lending locker. The locker-based online lending system integrated with ESP32-WROOM-32 can connect to Firebase storage and send locker key codes to Firebase so that the application can access them. Through experiments and tests conducted on the application, it is obtained that the application can access the locker key code and display it to the user. The application has also been validated using black-box and white-box testing and can be accepted by users based on the System Usability Scale (SUS) average score with a very feasible interpretation category.
Co-Authors Achmi Yuliani Al Bahri Elizar Elizar I Ketut Agung Enriko I Ketut Agung Enriko M Fahrur Rozi Melinda Melinda Melinda Melinda Melinda Melinda Mohd. Syaryadhi Muhammad Furqan Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Irhamsyah Nissa Hasna Nabila Nur Afny Catur Andryani Nurlida Basir Nurrizqa Nurrizqa Oktiana Maulisa Rizal Munadi Shaquille Rizki Ramadhan Na Syahrial Syahrial Syahrial Yudha Nurdin Yuwaldi Away