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All Journal MEDIA ELEKTRIKA ELKHA : Jurnal Teknik Elektro JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro KOMPUTIKA - Jurnal Sistem Komputer Journal of Public Health Education Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Fidelity : Jurnal Teknik Elektro International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Anang Suryana
Universitas Nusa Putra
Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Journal : Fidelity : Jurnal Teknik Elektro

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Design and Implementation an IoT-Based Electric Motor Temperature and Vibration Handling System Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana; Anang Suryana; Marina Artiyasa; Ilman Himawan Kusumah; Edwinanto
FIDELITY : Jurnal Teknik Elektro Vol 1 No 1 (2019): Edisi Mei 2019
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v1i1.123

Abstract

Faults in three-phase electric motors often occur in power plants. Unfortunately, the disturbances are unpredictable and reduce unit performance. This paper presents an Internet of Things (IoT) based intrusion handling system for secure and economic data communication in industrial fields. The build system can monitor and control with FLM (First Line Maintenance). FLM is a minor corrective maintenance activity carried out while the unit operates with the provision of simple equipment. Device design and testing using the ESP8266 microcontroller module to obtain motor vibration, current, and temperature information for motor conditions and supported by the application as a user interface. The result is to prevent further damage to the electric motor by adding an external fan and a grease pump to cool the engine. This research contributes to improving the performance of the generator at PT. Indonesia Power UJP West Java II Palafruitratu is one of the steam power plants in West Java, Indonesia.
Bitcoin USD Closing Price (BTC-USD) Comparison Using Simple Moving Average And Radial Basis Function Neural Network Methods Muchtar Ali Setyo Yudono; Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Anggy Pradiftha Junfithrana; Adi Nugraha; Marina Artiyasa; Edwinanto Edwinanto; Yufriana Imamulhak
FIDELITY : Jurnal Teknik Elektro Vol 4 No 2 (2022): Edisi Mei 2022
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v4i2.74

Abstract

Bitcoin is a decentralized electronic money that is not controlled nor insured by a central authority. Because it is still a young system, the price of Bitcoin is extremely unpredictable, making Bitcoin users and investors uneasy. A typical difficulty for investors and traders is predicting the future movement of the value of Bitcoin electronic money based on historical data. Because investors and traders only notice swings in global currency prices and make Bitcoin buy/sell decisions instinctively, they frequently make the erroneous buy/sell decisions. Many investors and traders suffered significant losses as a result of this error. Losses can be reduced by employing an algorithm that predicts the movement of the value of Bitcoin electronic money. Using a comparison of two methodologies, the Simple Moving Average and RBFNN, we will anticipate the closing price of Bitcoin USD (BTC-USD) from January 1, 2021 to January 31, 2021. The results obtained using the simple moving average method MSE = 0.01 percent and MAPE = 36.67 percent, and the results obtained using the RBFNN method MSE = 9.97 x 10-7 and MAPE = 9.97 x 10-5, indicating that the RBFNN method with an accuracy rate of 99.9995 percent is better than the simple moving average method in forecasting the closing price of bitcoin.
Fluid Volume Detector on a Horizontal Tube Using an Ultrasonic-based Water Level Sensor Anang Suryana; Paikun; Muchtar Ali Setyo Yudono
Fidelity : Jurnal Teknik Elektro Vol 4 No 1 (2022): Edisi Januari 2022
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v4i1.80

Abstract

Measurement of the volume of liquid in a vertical cylinder can be done by multiplying the area of the circle with the length of the cylinder. Likewise, measuring the volume of liquid in a horizontal pipe can also be done by multiplying the area by the length of the cylinder. There is a difference between the two measurements of the volume of liquid in the cylinder. In a horizontal cylinder, the measurement of area used is a measurement of the segment of the circle that is exposed to the liquid. To get the value of the circle area segment that is with geometric analysis. In this study, in measuring the volume of liquid in a horizontal cylinder using the multiplication between the circle area segment and the horizontal pipe length. The variables used in measuring the volume of liquid in a horizontal cylinder are, cylinder diameter 2r, liquid level H, and cylinder length L. So that in making this measuring instrument the volume of liquid in a horizontal cylinder has two variables, namely fixed and variable variables. free. For the fixed variables, namely the diameter and length of the cylinder, and for the independent variables, namely the level of the liquid level in the H pipe. In measuring the independent variables, a proximity sensor Type HC-SR04 is used. Installation of a volume measuring device on a horizontal cylinder using a PVC pipe connection type equal tee which is connected to other pipes with the same diameter with a predetermined total length. The fixed variable that has been determined is the cylinder diameter of 10.16 cm with a length of 100 cm.
Pengenalan Ekspresi Wajah Menggunakan Teknik Filter Wavelet Gabor Aryo De Wibowo Muhammad Sidik; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana; Ilman Himawan Kusumah; Yufriana Imamulhak
FIDELITY : Jurnal Teknik Elektro Vol 3 No 1 (2021): Edisi Januari 2021
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v3i1.84

Abstract

Pengenalan Emosi Wajah telah lama menjadi topik hangat dalam penelitian identifikasi pola komputer, dan saat ini tidak ada metode pengenalan ekspresi wajah yang memiliki tingkat pengenalan 100%. Jadi, meningkatkan tingkat pengenalan memerlukan pra-pemrosesan set data yang lebih baik, meningkatkan pendekatan ekstraksi fitur, dan memanfaatkan pengklasifikasi terbaik untuk pengenalan wajah. Penelitian ini bertujuan untuk meningkatkan pendekatan ekstraksi ciri untuk meningkatkan tingkat pengenalan sistem pengenalan ekspresi wajah. Fase penting dalam pengenalan gerakan wajah adalah ekstraksi fitur, yang menentukan tingkat pengenalan. Fitur harus diekstraksi dengan cara atau proyeksi yang berbeda untuk meningkatkan tingkat pengenalan, tetapi ada risiko mengembangkan redundansi, yang akan menurunkan tingkat pengenalan. Sementara Gabor memiliki varian fitur yang maksimal, ia memiliki kesulitan dengan dimensi dan redundansi yang tinggi. Beberapa strategi harus digunakan untuk mengurangi ukuran dan redundansi. Filtering adalah teknik pengurangan dimensi yang digunakan oleh Gabor. Oleh karena itu seluruh proses dikenal sebagai filter Gabor. Pengambilan sampel, pemfilteran rata-rata, dan teknik pemfilteran lainnya adalah contohnya. Fitur-fitur Gabor difilter menggunakan transformasi wavelet dan mendapatkan komponen optimal dari dataset wajah dalam teknik ekstraksi fitur Gabor yang diusulkan, memberikan tingkat pengenalan yang lebih tinggi daripada teknik ekstraksi fitur Gabor rata-rata dan teknik ekstraksi fitur penyaringan Gabor sampling pengenalan ekspresi wajah.
Pengenalan Wajah Menggunakan Pendekatan Berbasis Pengukuran dan Metode Segmentasi dalam Berbagai Posisi dan Pencahayaan Ivano Kumaran; Muhamad Ramdhani Firmansyah; Eva Fauziah; Yosep B. Hutahaean; Anang Suryana; Aryo De Wibowo Muhammad Sidik; Marina Artiyasa; Anggy Pradiftha Junfithrana; Ilman Himawan Kusumah
FIDELITY : Jurnal Teknik Elektro Vol 3 No 1 (2021): Edisi Januari 2021
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v3i1.85

Abstract

Pengenalan wajah, fitur biometrik yang penting, menghadapi banyak masalah, seperti posisi dan variasi pencahayaan. Biasanya, citra wajah memiliki latar belakang yang sebagian besar tidak berguna untuk identifikasi. Hanya wajah subjek dalam gambar yang terdeteksi menggunakan metode segmentasi kulit. Pendekatan ini memiliki kesulitan dengan iluminasi. Untuk mengatasi hal ini, kami menyajikan pendekatan berbasis pengukuran baru yang memungkinkan kami mengidentifikasi seseorang secara unik. Tujuannya adalah untuk membuat prosedur ini sangat analitis, dengan sedikit atau tanpa efek pada variabel seperti pencahayaan, posisi, dll. Penelitian ini bertujuan untuk memperkenalkan konsep segmentasi kulit dan MIP untuk gambar 2D. Akibatnya, efisiensi deteksi wajah dalam posisi dan pencahayaan apa pun akan meningkat secara signifikan
Desain Wireless Sensor Network (WSN) yang Efisien dengan Mobilitas Node Terkendali Berbasis Energi Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana; Yufriana Imamulhak; Anang Suryana
FIDELITY : Jurnal Teknik Elektro Vol 3 No 2 (2021): Edisi Mei 2021
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v3i2.91

Abstract

Memanfaatkan mobilitas beberapa komponen jaringan baru-baru ini dilaporkan sebagai salah satu pendekatan yang paling menjanjikan untuk meningkatkan kinerja jaringan sensor nirkabel (WSN) dalam hal metrik penting seperti masa pakai dan latensi data. Teknik Pergerakan Node Terkendali Berbasis Energi diusulkan dalam penelitian ini untuk mengatur mobilitas node sensor (EBCNM). EBCNM mencoba untuk menggeser node untuk mencapai keseimbangan energi dan beban di seluruh node, memperpanjang masa pakai jaringan. Menggunakan simulator jaringan NS2, kinerja EBCNM diuji dan dibandingkan dengan node statis dan gerakan node acak. Hasilnya menunjukkan peningkatan masa pakai jaringan sebesar 31 persen hingga 120 persen dan peningkatan rasio pengiriman paket sebesar 43 persen hingga 115 persen.
Comparative Study of Internet of Things (IoT) Platform for Smart Home Lighting Control Using NodeMCU with Thingspeak and Blynk Web Applications Marina Artiyasa; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 1 (2020): Edisi Januari 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i1.103

Abstract

Today's technology has developed rapidly with the Internet of Things (IoT) which is a concept that aims to expand the benefits of continuously connected internet connectivity. Internet of Things (IoT) is a development of network communication of interrelated objects connected through internet communication and can exchange data, turning it into information. Many tools are created to ease human work and even replace human work. Controlling room lights in a house using NodeMCU is one of the Smart Home technologies based on the Internet of Things (IoT). This research can provide information about the differences, advantages and disadvantages of Web, Thingspeak and Blynk applications for Smart Home devices to turn on and off house lights via the internet using laptops and smartphones. NodeMCU is a microcontroller that can be analogous to the Arduino ESP8266 board. NodeMCU includes ESP8266 and is packaged in a compact board with various features such as a microcontroller, WiFi access capabilities, and a USB data cable extension chip, which is used as a data cable and charging cable for Android smartphones. From the analysis results using the three platforms, it is known that Blynk is superior to the other two platforms because the way to create and operate is easier and more efficient
Design and Implementation of an IoT-Based Electric Motor Vibration and Temperature Disruption Handling System Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 2 (2020): Edisi Mei 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i2.108

Abstract

Faults in three-phase electric motors often occur in power plants. Unfortunately, the disturbances are unpredictable and reduce unit performance. This paper presents an Internet of Things (IoT) based intrusion handling system for secure and economic data communication in industrial fields. The build system can monitor and control with FLM (First Line Maintenance). FLM is a minor corrective maintenance activity carried out while the unit is operating with the provision of simple equipment. Device design and testing using the ESP8266 microcontroller module to obtain motor vibration, current, and temperature information for motor conditions supported by the application as a user interface. The result prevents further damage to the electric motor by adding an external fan and a grease pump that serves for additional engine cooling. This research contributes to improving the performance of the generator at PT. Indonesia Power UJP West Java II Palabuhanratu is one of the steam power plants in West Java, Indonesia
Gambaran Umum Metode Klasifikasi Data Mining Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 2 (2020): Edisi Mei 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i2.111

Abstract

Berbagai metode klasifikasi data mining diperiksa dalam penelitian ini untuk aplikasi database baru. Untuk menemukan suatu model, klasifikasi membagi data ke dalam kelompok-kelompok berdasarkan batasan yang telah ditentukan. Metode klasifikasi penting lainnya adalah algoritma Genetika C4.5, Naive Bayes, dan SVM. Akhirnya, kami membahas penjelasan algoritma
Automatic Gas Control System In The Motorcycle Braking Process With The Concept Of Non-Uniform Slowing Down Motion Anang Suryana; Anggy Pradiftha Junfithrana; Ilman Himawan Kusumah; Aryo De Wibowo; Edwinanto; Marina Artiyasa; Yufriana Imamulhak; Yudha Putra
FIDELITY : Jurnal Teknik Elektro Vol 2 No 3 (2020): Edisi September 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i3.115

Abstract

When motorcyclists have an accident, they are at high risk of suffering severe or fatal injuries. The difficulty experienced by motorcyclists and considered one of the most complicated to do in an emergency is braking because motorcycle accidents are often caused by loss of control or stability when braking as evasive action. In the braking process, a motorcycle must pay attention to distance and speed so that the deceleration during braking is by the kinematic concept to avoid the shock force during braking, in this study uses research and development methods in making automatic braking systems on motorbikes. The actuator system controls the brake pedal, and the gas pedal uses a stepper motor. The two stepper motors will move automatically if the motorbike detects an object in front of it at less than 4 meters. The angle of the stepper motor that drives the brake lever is in a span between 0 degrees to 30 degrees, while the tip of motion of the stepper motor that moves the gas pedal is in a span of 0 degrees to 70 degrees. The angle movement of the stepper motor is influenced by the distance detected by the HC-SR04 type proximity sensor and the motorbike speed detected by the KY-003 type speed sensor, which works by utilizing the hall effect principle. The results of the tests that have been carried out show that the automatic braking system created can work well with an indicator that there is no shock force during the automatic braking process
Co-Authors Adam Muhamad Ali Ade Sopian Adi Nugraha Adi Nugraha Adi Nugraha Adikara, Fransiskus Ahmad khuzairi Ajat Al Bantani, Rahmat Ato'ullah Gumilang Alya Abdul Zabar Anggy Pradiftha Junfithrana Arrozi , MF Artiyasa, Marina Aryo De Wibowo Astri Sri Rahayu Bayu Indrawan Bobi Grahadinansyah Chairinaufal Salasa Usmi CSA Teddy Lesmana Danang Purwanto Dede Sukmawan Deden Rahmat Dera Septa Dimas Arya Pamungkas Dio Damas Permadi Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Efendi Efendi Eva Fauziah Evyta Wismiana Firmanul Catur Wibowo Gina Syabani Yuda Grahito Gustian, Dudih Handrea Bernando Tambunan Handrea Bernando Tambunan Harurikson Lumbantobing Harurikson Lumbantobing Hendrawati, Trisiani Dewi Ilman Himawan Kusumah Ilman Himawan Kusumah Indrawan, Bayu Indri Sari Utami Intan Putri Kania Irlan, Ade Okvianti Ivano Kumaran Julia Damayanti Lisa Oksri Nelfia Lumbantobing, Harurikson M. Alfirdan Marina Artiyasa Marina Artiyasa Marina Artiyasa Moch Alif Wicaksana Moch Rizky Mochtar Ali Setyo Yudono Muchtar Ali Setyo Yudono Muhamad Ramdhani Firmansyah Muhammad Galuh Sutisna Muhammad Shobirin Narputro, Panji Neng Rani Nabawiyah Nuraiman Pahmi, Samsul Paikun Popi Puspitasari Pratama Ginanjar Kharisman Rahmat Firman Septiyanto, Rahmat Firman Resnawati Febrian Rintho Rante_Rerung Rizky Taufik , Akhmad Rossa Najwa Saputri, Utamy Sukmayu Setiawati Sholahudin, Sholahudin Ta Aliyono Hadi Taufik Kurnia Azis Tomi Lotama Ula, Rini Khamimatul Utami, Indri Sari Utami, Indri Sari Virya Nanda Romanista Waryani Waryani Wicaksana, Fikri Arif Yopani Selia Almahisa Yosep B. Hutahaean Yudha Putra Yudha Putra Yufriana Imamulhak Yufriana Imamulhak Zafar Akbar