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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal INKOM Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi JURNAL ELEKTRO International Journal of Advances in Intelligent Informatics Majalah Ilmiah MOMENTUM ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOIV : International Journal on Informatics Visualization Jurnal Elementer (Elektro dan Mesin Terapan) JMM (Jurnal Masyarakat Mandiri) KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) MIND (Multimedia Artificial Intelligent Networking Database) Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknologi Informasi dan Multimedia JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of electronics, electromedical engineering, and medical informatics Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Aiti: Jurnal Teknologi Informasi Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Advance Sustainable Science, Engineering and Technology (ASSET) INTECH - Informatika Dan Teknologi
Achmad Rizal
Telkom University
Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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PENGHITUNGAN DERAJAT KELENGKUNGAN TULANG PUNGGUNG PADA MANUSIA MENGGUNAKAN METODE TRANSFORMASI CONTOURLET DAN K-NEAREST NEIGHBOR Putri Famela Azhari; Bambang Hidayat; Achmad Rizal
JURNAL ILMIAH MOMENTUM Vol 11, No 2 (2015)
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jim.v11i2.1385

Abstract

Abstract Human’s bones and joints (motion system) have many functions to support their life. One of the most essential parts of human bone is the backbone (spine), because it functions as the structural support that can support the upper body (head, shoulders and chest) and connects with the lower body (abdomen and pelvis). However, it is inevitable that there are several causes that can lead to abnormalities in the spine which can then interfere with the effective functioning of the spine as well. By calculating the degree of spine curvature can be known that there is scoliosis that form of spine abnormalities which are often found in humans. In this study, calculation the degree of spine curvature consists of several processes. The calculation process begins with the preprocessing of the spine image, the process of feature extraction using Contourlet Transform and classification using the KNN (K-Nearest Neighbor). Results of feature extraction will be the input for the KNN which is a method to perform recognition on objects that have the closest distance to the data of learning. Implementation of systems is capable to calculate the degree of the spine curvature that have scoliosis abnormalities with an average accuracy from each class spine condition is 66.25% and average accuracy from each spine degree is 62.5% of 28 images in training data and 20 images in testing data.   Keywords: spine image, scoliosis, contourlet transformation, K-nearestneighbour (KNN).
Design Of Mini ECG for High Mobility Athlete Sugondo Hadiyoso; Achmad Rizal; Koredianto Usman; Radian Sigit
INKOM Journal Vol 7, No 2 (2013)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.inkom.255

Abstract

Electrocardiogram (ECG) is signal as a result of the electrical activity of the heart. ECG is taken by placing electrodes at a certain point a person's body. In this research made ​​digital ECG device that is used to monitor the condition of the heart of athlete. ECG is designed in small size that can be put on the waist with a mini LCD to view ECG signal graph. The system used 3 ECG leads with Einthoven triangle method. Electrodes are attached to the body taking electrical signal activity of the heart then the signal is amplified and filtered by signal conditioning. By Analog to Digital Converter signals are converted into digital data then the microcontroller reads data from ADC and displays graphs of signal and heart rate on the Nokia 5110’s  LCD screen.   Keywords: Electrocardiogram, Athlete, Einthoven, ADC, Nokia 5110
Pengembangan Sistem Pengendali Kursor Menggunakan Sinyal Elektrookulogram (EOG) Hasbian Fauzi Perdana; Fiky Yosef Suratman; Achmad Rizal
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 2 (2019): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i2.19

Abstract

Amyotrophic Lateral Sclerosis (ALS) is an illness due to lack of nourishment in human motoric nerves. This illness causes the sufferer a loss in motoric movement. Thankfully there is still an organ that move well regardless the illness, and that is eye movement. Eye tracking method have been applied to controlling computer. Majority of eye tracking methods are divided into two methods, video-oculography (VOG), and electrooculography (EOG). VOG used camera as video recorder and processed using image processing to track eye movement. EOG used skin electrode that were usually used in electrocardiography, which could detect electrical activity on the back of eye. The principle in this research is to design a cursor controlling system using EOG sensor and classified the signal using simple thresholding method. The result would be cursor movement based on eye movement. Purpose of this final assignment is to design a cursor controlling system based EOG sensor. The experimental results yield an accuracy of 98% for the cursor movement controlling. The system can control the direction of the cursor's movement but cannot control other activities of the cursor.
Klasifikasi Sinyal Elektrokardiogram Menggunakan Stockwell Transforms dan K-Nearest Neighbor Dyah Ayu Pratiwi; Achmad Rizal; Rita Magdalena
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.22-32

Abstract

Sinyal elektrokardiogram adalah sinyal bio-electrik yang dihasilkan dari aktifitas kelistrikan jantung. Informasi dari kondisi kesehatan jantung bisa diketahui dengan menganalisis bentuk, irama, durasi, maupun orientasi nya. Berbagai metode dikembangkan untuk melakukan analisis atau mengklasifikasi sinyal EKG secara otomatis. Beberapa diantaranya menggunakan metode transformasi untuk mengubah sinyal dari domain waktu ke domain sinyal yang lain. Pada penelitian ini digunakan Stockwell transform (S-transform) untuk mengubah sinyal dari domain waktu ke domain waktu-frekuensi. Nilai minimum dan maksimum dari pada deretan waktu dari S-transform digunakan sebagai masukan K-NN sebagai classifer. Akurasi dari penggunaan S-transform dibandingkan dengan akurasi penggunaan short-term Fourier transform (STFT) yang merupakan transormasi yang setara. Hasil pengujian menunjukkan akurasi S-transform lebih tinggi dibandingkan dengan FFT pada enam kelas data sinyal EKG yang diuji.
RANCANG BANGUN SISTEM FALL DETECTION UNTUK ORANG LANJUT USIA BERBASIS INERTIAL MEASUREMENT UNIT Muhammad Firmansyah
TEKTRIKA Vol 1 No 2 (2016): TEKTRIKA Vol.1 No.2 2016
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v1i2.1745

Abstract

Ketika manusia memasuki usia senja, maka kemampuan fisik dan daya konsentrasinya juga menurun. Dari hal itu, tentunya ada hal yang dikhawatirkan, yaitu hilangnya keseimbangan yang menyebabkan terjatuh. Apabila jatuh dalam dalam kondisi ramai hal ini tidak menjadi masalah yang besar, namun hal yang paling dikhawatirkan apabila jatuh dalam kondisi sepi. Tentunya akan menimbulkan dampak yang serius bagi orang lanjut usia tersebut. Dalam penelitian ini, dibuat sebuah alat pendeteksi jatuh untuk orang lanjut usia menggunakan microcontroller dan sensor inertial measurement unit (IMU). Microcontroller akan dihubungkan dengan sensor IMU dan modul GSM/GPS/GPRS dan dicatu menggunakan power bank sehingga dayanya dapat diisi ulang. GPS berfungsi untuk menentukan lokasi jauh sementara itu modul GSM berfungsi untuk mengirim data. Untuk mengklasifikasi jatuh, digunakan sebuah algoritma yang dibuat berdasar pada data percobaan. Informasi- informasi yang didapat dari sistem kemudian akan dikirim melalui pesan singkat yang akan terima oleh smartphone yang telah ditentukan, yang mencakup informasi indikasi jatuh dan koordinat lokasi jatuh. Hasil pengujian menunjukkan akursi mencapai 82% dari keseluruhan percobaan.
Klasifikasi Sinyal Elektrokardiogram Menggunakan Renyi Entropy Nano Estananto; Achmad Rizal
Jurnal Elektro dan Mesin Terapan Vol. 4 No. 2 (2018): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.716 KB) | DOI: 10.35143/elementer.v4i2.2139

Abstract

Sinyal Elektrokardiogram (EKG) adalah salah satu indikator penting tentang aktivitas kelistrikan jantung. Sinyal ini dapat menjadi basis analisa kerja jantung sehingga menjadi penting. Sampai saat ini sinyal EKG tidak dapat digambarkan dengan persamaan matematis yang tepat karena sinyal EKG berulang tapi tidak tepat periodik. Untuk itu digunakan signal complexity untuk menjelaskan perilaku sinyal EKG. Renyl entropy adalah salah satu matrik untuk menganalisa kompleksitas sinyal, dan merupakan bentuk umum dari entropy lain. Dengan demikian akurasi yang dihasilkan lebih tinggi. Pada penelitian ini menggunakan Renyi Entropy dihasilkan akurasi 100% untuk tiga kelas data EKG. Digunakan Support Vector Machine (SVM) linear, qubic, dan quadratic sebagai pembanding satu sama lain. Keunggulan metode ini adalah akurasi yang tinggi dengan menggunakan jumlah ciri yang jauh lebih sedikit.
Investigasi Efek Partial Shading Terhadap Daya Keluaran Sel Surya Bandiyah Sri Aprillia; Muhammad Rafiqy Zulfahmi; Achmad Rizal
Jurnal Elektro dan Mesin Terapan Vol. 5 No. 2 (2019): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.411 KB) | DOI: 10.35143/elementer.v5i2.3369

Abstract

The electrical energy of solar power plants which integrated into the networks depends on the intensity of solar radiation. However, some solar power plant areas there are still present trees and buildings around it that can partially cover the surface area of ​​the solar panel (partial shading). This study aims to investigate the effects of solar radiation variability due to several partial shading conditions on the 1 Wp solar cell output power. Based on observations from 10:00 to 14:00, the open-circuit voltage and short circuit current in solar cells decreases with increasing intensity of partial shading. The greater the partial shading of the solar cell, the lower the power output will be. The half partial shading effect of the total solar cell area resulted in a power reduction of 88.2%. A quarter of shading causes a decrease in the output power of solar cells by 75.6% compared to the power output under normal conditions. In addition, the increase in the temperature of solar cells resulted in a significant decrease in the open-circuit voltage.
Klasifikasi Suara Paru Normal dan Abnormal Menggunakan Discrete Wavelet Transform dan Jaringan Saraf Tiruan yang Dioptimasi dengan Algoritma Genetika Achmad Rizal
Jurnal Elektro dan Mesin Terapan Vol. 7 No. 1 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.725 KB) | DOI: 10.35143/elementer.v7i1.4388

Abstract

The human body consists of several vital organs that have an important role in humans life. One of the vital organs of humans is the lungs, which is responsible for the respiratory system to meet the body's oxygen needs. Respiratory system disorders can cause death. One method doctors use to diagnose lung disorders is by listening to breathing sounds using a stethoscope. However, the use of a stethoscope can still be misdiagnosed due to several factors, such as the doctor's ability, doctor's experience, doctor's sensitivity, and similar lung sound patterns. In this study, lung sounds classification using the Discrete Wavelet Transform (DWT) method and Artificial Neural Networks were optimized with Genetic Algorithms. Lung sounds are considered as sounds from the respiratory system, then normalized, and the DWT coefficient is calculated. The lung sound signal characteristics are obtained by calculating the entropy at the DWT coefficient. Furthermore, the classification is solved using Artificial Neural Networks and optimized with Genetic Algorithms. Based on this solution, the classification of lung sounds can be completed with an accuracy of up to 63.71%
RANCANG BANGUN SISTEM PENGERING GAPLEK TIPE HIBRIDA ANTARA EFEK RUMAH KACA (ERK) DAN TUNGKU BIOMASSA Brahmantya Aji Pramudita; Bandiyah Sri Aprillia; Achmad Rizal
Jurnal Elektro dan Mesin Terapan Vol. 6 No. 2 (2020): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.773 KB) | DOI: 10.35143/elementer.v6i2.4423

Abstract

The greenhouse system works by utilizing solar thermal energy. It has a deficiency because it depends on weather to get maximum solar thermal energy. This deficiency can interfere with the drying process of plantation products, especially gaplek. Therefore, biomass furnace is added to overcome the dependence of solar thermal energy. The result of the proposed hybrid dryer system can control the temperature below 60℃. Moreover, the humidity can reach a minimum point of 60% while the temperature is 57℃. Those results show the system can give nomerous dry air to the dryer room because the greenhouse system is equipped with an exhaust fan. Thus, gaplek can appropriately dry according to the desired grade. Then, the cost of operating the proposed hybrid drying system is inexpensive, which is Rp 158.194,65 per year.
Pemanfaatan marketplace tokopedia untuk pengembangan usaha dalam meningkatkan perekonomian di tengah dampak pandemi covid-19 Brahmantya Aji Pramudita; Muhammad Hablul Barri; Wahmisari Priharti; Achmad Rizal; Novi Prihatiningrum; Iswahyudi Hidayat
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 5, No 1 (2022): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v5i1.11694

Abstract

Co-Authors Achmad Ibnu Abas Aditya, Muhammad Billy Agung Muliawan Agung Surya Wibowo Agustina Trifena Dame.S Akhmad Alfaruq Albi Pernata Jomantara Putra Alfian Akbar Gozali Alvin Oktarianto Alvy Suhandi Nataprawira Amalia, Qoriina Dwi Andi Farmadi Andi Wahyu Adi Arryansyah Andjar Pudji Andro Harjanto Anggit Syorgaffi ANGGUNMEKA LUHUR PRASASTI Anita Miftahul Maghfiroh Arif Abdul Aziz Arifah Putri Caesaria Aurick Daffa Muhammad Ayu, Devina Dara Aziz, Burhanuddin Azriansyah Azriansyah Baginda Mi’raj Williamsyah Bambang Guruh Irianto Bambang Hidayat Bandiyah Sri Aprillia Bella Fatonah Nur Anisya Beu, Donny Setiawan Bhagas Nugroho Brahmantya Aji Pramudita Burhanuddin Aziz Chandra Purna Darmawan Chandraditya Aridela Deni Saepudin Deny Sugiarto Wiradikusuma Desri Kristina Silalahi Devi Anggraini Dien Rahmawati Djoko Kurnia Putra Dyah Ayu Pratiwi Eka Nuryanto Budi Susila Elfrida Ratnawati Ellia Nurazizah Endro Yulianto Enzel D. S. Situmorang Estananto Fadlillah Muharam Saeful Fajra Octrina Faqih Alam FARDAN FARDAN Fathul Fajar Fatma Indriani FAUZI FRAHMA TALININGSIH Favian Dewanta Fiky Y. Suratman Fively Darmadi Freyssenita Kanditami P Hanan, Hafizh Khoirul Hanung Adi Nugroho Hanung Tyas Saksono Hasbian Fauzi Perdana Hezron Eka Lattang Hilman Fauzi, Hilman I Nyoman Apraz Ramatryana Ig. Prasetya Dwi Wibawa Ilham Edwian Berliandhy Ilham Rabbani Des Chandra Aziz Inung Wijayanto Istiqomah Istiqomah Istiqomah Istiqomah Istiqomah Istiqomah Iswahyudi Hidayat Jafar Hifdzullisan Jatmiko Kuntoro Nugroho Jidan Sandika Hidayat Jondri Jondri Junartho Halomoan Khilda Afifah Koredianto Usman La Bamba Puang P T S Kami Lestari, Rahma Dania Aleem Liliek Soetjiatie M. Ary Murti Mazaya 'Aqila Meidiana Ajeng Lestari Mohamad Ramdhani Mohamad Sofie Mohamad Sofie Mohamad Sofie, Mohamad MUHAMMAD ADNAN PRAMUDITO Muhammad Afif Ridwansyah Muhammad Al Makky Muhammad Ary Murti Muhammad Fahriza Bahrudin Muhammad Hablul Barri Muhammad Hasbi Ashshiddieqy MUHAMMAD JULIAN, MUHAMMAD Muhammad Nadim Mubaarok Muhammad Nashih Rabbani Muhammad Rafiqy Zulfahmi Muhammad Ridha Makruf Muhammad Satya Annas Muhammad Thariq Machaz Muhammad Yusuf Salman Muliadi Ni Wayan Ratna Juami Novi Prihatiningrum Nur Afifah Nuril Hidayanti Nurina Listya Hakim Nursanto Nursanto NURSANTO NURSANTO, NURSANTO Nurul Fathanah Muntasir Philip Tobianto Daely Purba Daru Kusuma Putri Famela Azhari R. Yunendah Nur Fu’adah Radian Sigit Raditiana Patmasari Ramdhan Nugraha Ratri Dwi Atmaja Reza Budiawan, Reza Rheza Faurizki Rahayu Risanuri Hidayat Rita Magdalena Rizkia Dwi Auliannisa Ruri Octari Dinata Said Ziani Sang Made Lanang Prasetya Sania Marcellina Bryan Saragih, Triando Hamonangan Sari Luthfiyah Sigit, Radian Soediponegoro Soediponegoro Sofia Naning Hertiana Sony Sumaryo Sugondo Hadiyoso Suryani Alifah Suryo Wibowo Syamsul Rizal Tedy Gumilang Sejati Triwiyanto Triwiyanto Unang Sunarya Vania Rei Syifa Vera Suryani Viko Adi Rahmawan Wahmisari Priharti Widiawan, Babel Willy Anugrah Cahyadi Wisudantyo Wahyu Priambodo, Wisudantyo Wahyu YULI SUN HARIYANI Ziani Said Ziani, Said