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Urinoir Analyzer Pintar Pendeteksi Kelainan Pada Fungsi Ginjal Dengan Analisis Kadar Ph Dan Warna Pada Urin Febryansah, M. Iqbal; Yudhana, Anton; Ma'arif, Alfian
Mobile and Forensics Vol 2, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.2032

Abstract

Perkembangan pemeriksaan penyakit kelainan ginjal melalui analisa urin saat ini dilakukan dalam dua proses pemeriksaan secara makroskopis dan mikroskopis. Pada dasarnya dibutuhkan sebuah alat yang mampu memproses dan menganalisis sebuah sampel urin secara otomatis agar tidak terjadinya kesalahan dalam melakukan pemeriksaan penyakit melalui sampel urin. Awalan perkembangan ini menggunakan sebuah Kontroler Arduino UNO dan dua buah variabel masukan yaitu sensor warna TCS3200 dan sensor PH meter SKU SEN0161. Dua buah variabel masukan sensor bekerja secara berdampingan dengan sensor TCS3200 memiliki hasil keluaran berupa nilai frekuensi RGB dan diproses kembali menjadi frekuensi keabuan. Lalu, sensor PH meter SKU SEN0161 menghasilkan sebuah nilai PH pada sampel urin. Hasil dari pemeriksaan tersebut ditampilkan pada sebuah penampil berupa LCD berukuran 16x2. Hasil pemeriksaan dari alat ini dibandingkan dengan hasil analisa pakar dari Balai Laboratorium Kesehatan Yogyakarta bagian Urology. dan mendapatkan tingkatan nilai akurasi 93% dengan keberhasilan data sebanyak 28 dari 30 data yang diambil. The development of examining kidney disorders through urine analysis is currently carried out in two processes of examination, macroscopic and microscopic. Basically, we need a tool that is able to process and analyze a urine sample automatically so that there are no errors in carrying out disease checks through the urine sample. The beginning of this development used an Arduino UNO controller and two input variables, namely the TCS3200 color sensor and the SKU SEN0161 PH meter sensor. Two sensor input variables working side by side with the TCS3200 sensor have an output in the form of RGB frequency values and are processed back into gray frequencies. Then, the PH meter SKU SEN0161 sensor generates a PH value in the urine sample. The results of these checks are displayed on a 16x2 LCD display. The examination results of this tool are compared with the results of the analysis of experts from the Yogyakarta Health Laboratory Center, Urology section. and get an accuracy level of 93% with the success of the data as much as 28 of the 30 data taken.
Control of DC Motor Using Integral State Feedback and Comparison with PID: Simulation and Arduino Implementation Ma'arif, Alfian; Rahmat Setiawan, Naural
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

The Direct Current (DC) motor is widely applied in various implementations. The main problem in the DC motor is controlling the angular speed on the specific reference. This research then proposed an integral state feedback design for tracking control in DC motor, with Simulink Matlab simulation and the Arduino hardware implementation. The results will be compared with the implementation of the PID controller. The integral state feedback controller can handle the system to reach the setpoint with good performance in the simulations, even with changing different poles and setpoints. In the hardware implementation, the current sensor (INA219) and encoder sensor are used since all state variables need to be calculated. Based on the result, the controller can reach the setpoint stably with oscillation. Similar results are showed in simulations with different setpoints. Compared with the PID Controller, the integral state feedback controller has a better response with faster rise time and faster settling time.
Noise Reduction in the Accelerometer and Gyroscope Sensor with the Kalman Filter Algorithm Ikhsan Alfian, Rio; Ma'arif, Alfian; Sunardi, Sunardi
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Noise is unwanted signals in a communication or information system. Kalman filter has a good ability to handle noise. This study uses the Kalman filter algorithm that works to reduce noise at the accelerometer and gyroscope sensor output. Data were taken using the accelerometer sensor and the gyroscope sensor in a stationary condition. The device is Arduino Uno for processing the data and MPU6050 for accelerometer and gyroscope sensor. In the Kalman filter algorithm, there is process variance matrix and measurement variance matrix parameters that affect noise attenuation or reduction at the accelerometer and gyroscope output. If the difference between the two parameters is too large, then the attenuation becomes very large and eliminates the original value of the sensor output. Thus, the value cannot be chosen carelessly. The best value is the measurement variance matrix must bigger than the process variance matrix.
Reliability Analysis and Maintainability for the Design of Grid and Hybrid Solar Power Plant Systems in Wonogiri Regency Nur’Aini, Etika; Budiarto, Rachmawan; Setiawan, Bakti; Ma'arif, Alfian
ELKHA : Jurnal Teknik Elektro Vol. 13 No. 1 April 2021
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v13i1.46011

Abstract

Indonesia has the potential for large solar power plants. It has relatively constant solar radiation because it is close to the equator. Besides, solar energy includes renewable energy that is more environmentally friendly and easier to apply in office areas, especially Wonogiri. However, it turns out that the solar power plant projects that have been built are not yet fully functional, and some have even failed. A lack of responsibility and maintenance causes this carried out after the project is complete. For this reason, it is necessary to estimate the reliability of these components and determine the maintenance schedule before the project is carried out. So that later they have a picture and be better prepared when this project is already underway. The fault tree method's failure factors are expected to create a picture to maintain reliability and determine the prioritized components for maintainability. For the results obtained to be more appropriate, apart from seeing the quantitative analysis output, the fault tree also needs to be adjusted to the component manual or datasheet to determine the replacement of spare parts and their maintenance. So that the resulting schedule for maintenance and replacement of spare parts. Thus, the solar power plant project that has been built will be more reliable and can be appropriately utilized.
Kendali Linierisasi Umpan Balik pada Sistem Pendulum Terbalik Ma'arif, Alfian
Mobile and Forensics Vol 2, No 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i2.2828

Abstract

Pada penelitian ini diterapkan pengendali linierisasi umpan balik pada sistem pendulum terbalik yang memiliki karakteristik tidak linear dan tidak stabil. Berdasarkan pada pengujian, pengendali yang diusulkan mampu untuk membuat sistem mengikuti sinyal referensi undak dan sinus. Nilai respons sistem untuk sinyal referensi undak adalah waktu naik sebesar 4,0386; waktu kestabilan sebesar 3,4656 dan overshoot sebesar 0 persen. Oleh karena itu dapat disimpulkan bahwa pengendali umpan balik linierisasi mampu untuk mengendalikan sistem pendulum terbalik mengikuti sinyal referensi.In this study, a feedback linearization controller was applied to an inverted pendulum system that has non-linear and unstable characteristics. Based on the test, the proposed controller is able to make the system follow step and sine reference signals. The system response value for the step reference signal is an increment time of 4.0386; the time of stability was 3,4656 and overshoot was 0 percent. Therefore, it can be concluded that the linearized feedback controller is able to control the inverted pendulum system following the reference signal.
Urinoir Analyzer Pintar Pendeteksi Kelainan Pada Fungsi Ginjal Dengan Analisis Kadar Ph Dan Warna Pada Urin Febryansah, M. Iqbal; Yudhana, Anton; Ma'arif, Alfian
Mobile and Forensics Vol. 2 No. 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.2032

Abstract

Perkembangan pemeriksaan penyakit kelainan ginjal melalui analisa urin saat ini dilakukan dalam dua proses pemeriksaan secara makroskopis dan mikroskopis. Pada dasarnya dibutuhkan sebuah alat yang mampu memproses dan menganalisis sebuah sampel urin secara otomatis agar tidak terjadinya kesalahan dalam melakukan pemeriksaan penyakit melalui sampel urin. Awalan perkembangan ini menggunakan sebuah Kontroler Arduino UNO dan dua buah variabel masukan yaitu sensor warna TCS3200 dan sensor PH meter SKU SEN0161. Dua buah variabel masukan sensor bekerja secara berdampingan dengan sensor TCS3200 memiliki hasil keluaran berupa nilai frekuensi RGB dan diproses kembali menjadi frekuensi keabuan. Lalu, sensor PH meter SKU SEN0161 menghasilkan sebuah nilai PH pada sampel urin. Hasil dari pemeriksaan tersebut ditampilkan pada sebuah penampil berupa LCD berukuran 16x2. Hasil pemeriksaan dari alat ini dibandingkan dengan hasil analisa pakar dari Balai Laboratorium Kesehatan Yogyakarta bagian Urology. dan mendapatkan tingkatan nilai akurasi 93% dengan keberhasilan data sebanyak 28 dari 30 data yang diambil. The development of examining kidney disorders through urine analysis is currently carried out in two processes of examination, macroscopic and microscopic. Basically, we need a tool that is able to process and analyze a urine sample automatically so that there are no errors in carrying out disease checks through the urine sample. The beginning of this development used an Arduino UNO controller and two input variables, namely the TCS3200 color sensor and the SKU SEN0161 PH meter sensor. Two sensor input variables working side by side with the TCS3200 sensor have an output in the form of RGB frequency values and are processed back into gray frequencies. Then, the PH meter SKU SEN0161 sensor generates a PH value in the urine sample. The results of these checks are displayed on a 16x2 LCD display. The examination results of this tool are compared with the results of the analysis of experts from the Yogyakarta Health Laboratory Center, Urology section. and get an accuracy level of 93% with the success of the data as much as 28 of the 30 data taken.
Kendali Linierisasi Umpan Balik pada Sistem Pendulum Terbalik Ma'arif, Alfian
Mobile and Forensics Vol. 2 No. 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i2.2828

Abstract

Pada penelitian ini diterapkan pengendali linierisasi umpan balik pada sistem pendulum terbalik yang memiliki karakteristik tidak linear dan tidak stabil. Berdasarkan pada pengujian, pengendali yang diusulkan mampu untuk membuat sistem mengikuti sinyal referensi undak dan sinus. Nilai respons sistem untuk sinyal referensi undak adalah waktu naik sebesar 4,0386; waktu kestabilan sebesar 3,4656 dan overshoot sebesar 0 persen. Oleh karena itu dapat disimpulkan bahwa pengendali umpan balik linierisasi mampu untuk mengendalikan sistem pendulum terbalik mengikuti sinyal referensi.In this study, a feedback linearization controller was applied to an inverted pendulum system that has non-linear and unstable characteristics. Based on the test, the proposed controller is able to make the system follow step and sine reference signals. The system response value for the step reference signal is an increment time of 4.0386; the time of stability was 3,4656 and overshoot was 0 percent. Therefore, it can be concluded that the linearized feedback controller is able to control the inverted pendulum system following the reference signal.
IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology Iswanto Suwarno; Alfian Ma’arif; Nia Maharani Raharja; Adhianty Nurjanah; Jazaul Ikhsan; Dyah Mutiarin
Emerging Science Journal Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-011

Abstract

A lava flood disaster is a volcanic hazard that often occurs when heavy rains are happening at the top of a volcano. This flood carries volcanic material from upstream to downstream of the river, affecting populous areas located quite far from the volcano peak. Therefore, an advanced early warning system of cold lava floods is inarguably vital. This paper aims to present a reliable, remote, Early Warning System (EWS) specifically designed for lava flood detection, along with its disaster communication system. The proposed system consists of two main subsystems: lava flood detection and disaster communication systems. It utilizes a modified automatic rain gauge; a novel configured vibration sensor; Fuzzy Tree Decision algorithm; ESP microcontrollers that support IoT, and disaster communication tools (WhatsApp, SMS, radio communication). According to the experiment results, the prototype of rainfall detection using the tipping bucket rain gauge sensor can measure heavy and moderate rainfall intensities with 81.5% accuracy. Meanwhile, the prototype of earthquake vibration detection using a geophone sensor can remove noise from car vibrations with a Kalman filter and measure vibrations in high and medium intensity with an accuracy of 89.5%. Measurements from sensors are sent to the webserver. The disaster mitigation team uses data from the webserver to evacuate residents using the disaster communication method. The proposed system was successfully implemented in Mount Merapi, Indonesia, coordinated with the local Disaster Deduction Risk (DDR) forum. Doi: 10.28991/esj-2021-SP1-011 Full Text: PDF
Developing Data Integrity in an Electronic Health Record System using Blockchain and InterPlanetary File System (Case Study: COVID-19 Data) Imam Riadi; Tohari Ahmad; Riyanarto Sarno; Purwono Purwono; Alfian Ma'arif
Emerging Science Journal Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-013

Abstract

The misuse of health data stored in the Electronic Health Record (EHR) system can be uncontrolled. For example, mishandling of privacy and data security related to Corona Virus Disease-19 (COVID-19), containing patient diagnosis and vaccine certificate in Indonesia. We propose a system framework design by utilizing the InterPlanetary File System (IPFS) and Blockchain technology to overcome this problem. The IPFS environment supports a large data storage with a distributed network powered by Ethereum blockchain. The combination of this technology allows data stored in the EHR to be secure and available at any time. All data are secured with a blockchain cryptographic algorithm and can only be accessed using a user's private key. System testing evaluates the mechanism and process of storing and accessing data from 346 computers connected to the IPFS network and Blockchain by considering several parameters, such as gas unit, CPU load, network latency, and bandwidth used. The obtained results show that 135205 gas units are used in each transaction based on the tests. The average execution speed ranges from 12.98 to 14.08 GHz, 26 KB/s is used for incoming, and 4 KB/s is for outgoing bandwidth. Our contribution is in designing a blockchain-based decentralized EHR system by maximizing the use of private keys as an access right to maintain the integrity of COVID-19 diagnosis and certificate data. We also provide alternative storage using a distributed IPFS to maintain data availability at all times as a solution to the problem of traditional cloud storage, which often ignores data availability. Doi: 10.28991/esj-2021-SP1-013 Full Text: PDF
PID-based with Odometry for Trajectory Tracking Control on Four-wheel Omnidirectional Covid-19 Aromatherapy Robot . Iswanto; Alfian Ma’arif; Nia Maharani Raharja; Gatot Supangkat; Fitri Arofiati; Ravi Sekhar; Dhiya Uddin Rijalusalam
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-13

Abstract

Inhalation therapy is one of the most popular treatments for many pulmonary conditions. The proposed Covid-19 aromatherapy robot is a type of Unmanned Ground Vehicle (UGV) mobile robot that delivers therapeutic vaporized essential oils or drugs needed to prevent or treat Covid-19 infections. It uses four omnidirectional wheels with a controlled speed to possibly move in all directions according to its trajectory. All motors for straight, left, or right directions need to be controlled, or the robot will be off-target. The paper presents omnidirectional four-wheeled robot trajectory tracking control based on PID and odometry. The odometry was used to obtain the robot's position and orientation, creating the global map. PID-based controls are used for three purposes: motor speed control, heading control, and position control. The omnidirectional robot had successfully controlled the movement of its four wheels at low speed on the trajectory tracking with a performance criterion value of 0.1 for the IAEH, 4.0 for MAEH, 0.01 for RMSEH, 0.00 for RMSEXY, and 0.06 for REBS. According to the experiment results, the robot's linear velocity error rate is 2%, with an average test value of 1.3 percent. The robot heading effective error value on all trajectories is 0.6%. The robot's direction can be monitored and be maintained at the planned trajectory. Doi: 10.28991/esj-2021-SPER-13 Full Text: PDF
Co-Authors . Iswanto Abdel-Nasser Sharkawy Abdel-Nasser Sharkawy Abdulhamid A. Oun Abdullah Çakan Abdullah Çakan Abdullah Çakan Adhianty Nurjanah Ahmad Nurimam Ahmed Jaber Abougarair Ahmed Jaber Abougarair Alfan Habibillah Alfan Habibillah Ali Asghar Poorat Andino Maseleno Angelo Marcelo Tusset Anhar Anhar Aninditya Anggari Nuryono Anish Pandey Anna Nur Nazilah Chamim Anton Yudhana Antonius Rajagukguk Anuchart Srisiriwat Apik Rusdiarna Indra Praja Arya Adiningrat Ashadi Setiawan Asno Azzawagama Firdaus Asno Azzawagama Firdaus Aufaclav Zatu Kusuma Frisky Bagas Putra Anggara Bakti Setiawan Bangun Aji Saputra Barbara Gunawan Berlian Shanaza Andiany Bilah Kebenaran Carlos Antonio Márquez-Vera Carlos Sánchez-López Carlos Sánchez-López Cengiz Deniz Chaymae Fahassa Chico Hermanu Dhias Cahya Hakika Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dianda Rifaldi Dimas Dwika Saputra Dimas Herjuno Dodi Saputra Dyah Mutiarin Edwin A. Umoh Edwin Umoh Eka Suci Rahayu Eka Suci Rahayu Eka Widya Suseno Eskandar Jamali Fadlur Rahman T. Hasan Faikul Umam Farnaz Jahanbin Fathurrahman, Haris Imam Karim Fatma Nuraisyah, Fatma Febryansah, M. Iqbal Ferydon Gharadaghi Fitri Arofiati Furizal Furizal Furizal Furizal Furizal Furizal Gatot Supangkat Gatot Supangkat Guntur Nugroho Hamdi Echeikh Hamzah M Marhoon Hamzah M. Marhoon Hari Maghfiroh Hari Maghfiroh Haryo Setiawan Hossein Monfared Houari Khouidmi Ikhsan Alfian, Rio Ilham Mufandi Imam Riadi Iman Permana Iman Sahrobi Tambunan Indah Dwi Kurniasari Ipin Prasojo Irfan Ahmad Irfan Ahmad Israa Al_barazanchi Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Jazaul Ikhsan Jihad Rahmawan Joko Pitoyo Joko Slamet Saputro Jonattan Niño Parada Kemal Thoriq Al-Azis Khoirudin Wisnu Mahendra Laveet Kumar Li-Yi Chin M. H. Adli Magdi S. Mahmoud Magdi Sadek Mahmoud Magdi Sadek Mahmoud Mahmoud A. Mossa Mahmoud Zadehbagheri Mahmoud Zadehbagheri Mangku Negara, Iis Setiawan Marco Antonio Márquez Vera Marco Antonio Márquez Vera Mehdi Ansarifard Miftahul Anwar Mila Diah Ika Putri Mohamed Akherraz Mohamed Moutchou Mohammad Javad Kiani Muchammad Naseer Muhaimin Toh-arlim Muhammad Abdus Shomad Muhammad Ahmad Baballe Muhammad Fuad Muhammad Heri Zulfiar Muhammad Irfan Pure Muhammad Maaruf Muhammad Nizam Muhammed N. Umar N. S. Abu Naufal Rahmat Setiawan Naufal Rahmat Setiawan Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nima Shafaghatian Noorulden Basil Noorulden Basil Mohamadwasel Nuntachai Thongpance Nur Syuhadah Abu Nur’Aini, Etika Omar Muhammed Neda Omokhafe J. Tola Phichitphon Chotikunnan Phichitphon Chotikunnan Prisma Megantoro Puriyanto, Riky Dwi Purwono, Purwono Qazi Mazhar ul Haq Qazi Mazhar ul Haq Qolil Ariyansyah Rachmad Andri Atmoko Rachmawan Budiarto Radhwan A. A. Saleh Rahim Ildarabadi Rahmat Setiawan, Naural Rania Majdoubi Ravi Sekhar Rawiphon Chotikunnan Reza Alayi Reza Alayi Reza Alayi Rio Ikhsan Alfian Riyanarto Sarno RYAN ISTIARNO Safinta Nurindra Rahmadhia Salah I. Sawan Salamollah Mohammadi-Aykar Samir Ladaci Sara Elbadaoui Sashikala Mishra Shinta Amelia Shomad, Muhammad Abdus Siti Fatimah Anggraini Siti Jamilatun Souad Tayane Subrata, Arsyad Cahya Suko Ferbriyanto Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Taufan Maulana Hazbi Tohari Ahmad Tony K Hariadi Vernandi Yusuf Muhammad Vicky Fajar Setiawan W. M. Bukhari Wahyu Caesarendra Wahyu Rahmaniar Wahyu Rahmaniar Yaser Ebazadeh Yaser Ebazadeh Yassine Zahraoui Yassine Zahraoui Yutthana Pititheeraphab Zaineb Yakoub