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Analisis Quality of Services Jaringan VoIP pada VPN menggunakan InterAsteriks Exchange dan Session Initiation Protocol Agus Heriyanto; Lailis Syafaah; Amrul Faruq
Techno.Com Vol 19, No 1 (2020): Februari 2020
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.72 KB) | DOI: 10.33633/tc.v19i1.2753

Abstract

Di dalam komunikasi Voice over Internet Protocol (VoIP) mengenal beberapa macam protocol tambahan selain protocol standar internet Transfer Control Protocol/Internet Protocol (TCP/IP), beberapa diantaranya adalah protocol Session Initation Protocol (SIP), Inter-Asterisk eXchange (IAX) dan H.323. Performansi perlu dijaga mengingat VoIP mempunyai kemungkinan melakukan berbagai cara kompresi untuk menciptakan efisiensi saluran dan pemilihan protocol yang tepat. Teknologi VoIP pada dasarnya tidak memiliki jaminan keamanan pada setiap komunikasi. Keamanan ketika melakukan komunikasi suara merupakan sesuatu yang sangat penting karena menyangkut privasi penggunanya. Penggunaan Virtual Private Network (VPN) merupakan salah satu solusi untuk menutup celah keamanan pada kasus di atas. Analisis yang dilakukan pada artikel ini adalah performa yang dihasilkan VoIP yang menggunakan protocol IAX dan SIP. Penelitian ini mengahasilkan kesimpulan bahwa performansi yang paling baik digunakan untuk membangun sistem komunikasi VoIP adalah protocol IAX dengan menggunakan sistem keamanan VPN Point to Point Protocol (PPTP) dikarenakan nilai Quality of Service (QoS)  lebih tinggi daripada protocol SIP dan juga terbukti lebih aman saat diterapkan sistem keamanan Virtual Private Network Point to Point Protocol (VPN PPTP).
Optimization of an Intelligent Controller for an Unmanned Underwater Vehicle Amrul Faruq; Shahrum Shah Bin Abdullah; M. Fauzi Nor Shah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 2: August 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i2.695

Abstract

 Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an unmanned underwater vehicle is described in this paper. The control algorithm is simulated by using the marine guidance navigation and control simulator. The project shows a radial basis function metamodel can be used to tune the scaling factors of a fuzzy logic controller. By using offline optimization approach, a comparison between genetic algorithm and metamodeling has been done to minimize the integral square error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using metamodeling approach in much a shorter time compared to the genetic algorithm approach.
Diabetes prediction based on discrete and continuous mean amplitude of glycemic excursions using machine learning Lailis Syafaah; Setio Basuki; Fauzi Dwi Setiawan Sumadi; Amrul Faruq; Mauridhi Hery Purnomo
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2387

Abstract

Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complications in diabetes mellitus (DM). Continuous and sustainable observation of these factors is significant to be done to reduce the potential of cardiovascular problems in the future by minimizing the occurrence of glycemic variability (GV). At present, observations on GV are based on the mean amplitude of glycemic excursion (MAGE), which is measured based on continuous blood glucose data from patients using particular devices. This study aims to calculate the value of MAGE based on discrete blood glucose observations from 43 volunteer patients to predict the diabetes status of patients. Experiments were carried out by calculating MAGE values from original discrete data and continuous data obtained using Spline Interpolation. This study utilizes the machine learning algorithm, especially k-Nearest Neighbor with dynamic time wrapping (DTW) to measure the distance between time series data. From the classification test, discrete data and continuous data from the interpolation results show precisely the same accuracy value that is equal to 92.85%. Furthermore, there are variations in the MAGE value for each patient where the diabetes class has the most significant difference, followed by the pre-diabetes class, and the typical class. 
Adaptive infill sampling strategy for metamodeling: Challenge and future research directions Che Munira Che Razali; Shahrum Shah Abdullah; Amir Parnianifard; Amrul Faruq
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (515.189 KB) | DOI: 10.11591/eei.v9i5.2162

Abstract

The widespread use of computer experiments for design optimization has made the issue of reducing computational cost, improving accuracy, removing the “curse of dimensionality” and avoiding expensive function approximation becoming even more important. Metamodeling also known as surrogate modeling, can approximate the actual simulation model allowing for much faster execution time thus becoming a useful method to mitigate these problems. There are two (2) well-known metamodeling techniques which is kriging and radial basis function (RBF) discussed in this paper based on widely used algorithm tool from previous work in modern engineering design of optimization. An integral part of metamodeling is in the method to sample new data from the actual simulation model. Sampling new data for metamodeling requires finding the location (or value) of one or more new data such that the accuracy of the metamodel can be increased as much as possible after the sampling process. This paper discussed the challenges of adaptive sampling in metamodel and proposed an ensemble non-homogeneous method for best model voting to obtain new sample points.
HIGH AVAILABILITY DYNAMIC SHARDING DATABASE SERVER DENGAN METODE FAIL OVER DAN CLUSTERING Afirda Desember Riawati; Muhammad Irfan; Khaeruddin Khaeruddin; Amrul Faruq
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 5 No. 1 (2022): MISI Januari 2022
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v5i1.416

Abstract

NoSQL merupakan salah satu jenis database yang berkembang saat ini, yang mempunyai desain khusus dalam memecahkan permasalahan yang berhubungan dengan scalability dan reliability.Format dokumen adalah salah satu jenis documentorienteddatabase yang didukung oleh jenis database NoSQL.MongoDB merupakan salah satu jenis DBMS berbentuk documentoriented, mongoDB memiliki fitur GridFS yang dapat menyimpan data dalam bentuk biner.Sharding dapat mendistribusikan data ke dalam beberapa mesin/server, fungsi ini juga terdapat didalam fitur mongoDB.Dengan menempatkan data pada beberapa mesin memungkinkan untukmenyimpan lebih banyak data dan menangani beban lebih besar tanpa diperlukan adanya mesin denganperformansi tinggi. High Availability salah satunyamerupakan kemampuan satu sistem atau kelompok sistem (cluster) menjagaaplikasi (application) atau layanan (service) berjalan.Hasil yang didapat pada penelitian ini adalah sebuah system sharding database berbasis noSQL menggunakan mongoDB berhasil diimplementasikan pada server yang diset dengan High Availability, fungsi utama server adalah untuk failover dan clustering.  
The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level Amrul Faruq; Shahrum Shah Abdullah; Aminaton Marto; Mohd Anuar Abu Bakar; Shamsul Faisal Mohd Hussein; Che Munira Che Razali
International Journal of Advances in Intelligent Informatics Vol 5, No 1 (2019): March 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i1.280

Abstract

Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series of differences between observed and forecast values, are very interesting and challenging task. This paper presents an improved lead time flood forecasting using Non-linear Auto Regressive Exogenous Neural Network (NARXNN), which shows better performance in term of forecast precision and produces minimum error compared to neural network method using Radial Basis Function (RBF) in examined 12-hour ahead of time. First, RBF forecasting model was employed to predict the flood water level of Kelantan River at Kuala Krai, Kelantan, Malaysia. The model is tested for 1-hour and 7-hour ahead of time water level at flood location. The same analysis has also been taken by NARXNN method. Then, a non-linear neural network model with exogenous input promoted with enhancing a forecast lead time to 12-hour. Both about the performance comparison has briefly been analyzed. The result verified the precision of error prediction of the presented flood forecasting model.
Penentuan Posisi Sudut Matahari Menggunakan ANFIS dalam Aplikasi Tracker Panel Surya Muhammad Irfan; Ilham Pakaya; Amrul Faruq
JURNAL NASIONAL TEKNIK ELEKTRO Vol 8, No 3: November 2019
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.884 KB) | DOI: 10.25077/jnte.v8n3.671.2019

Abstract

Solar panels have constraints on output power that are not large enough and they are highly depend on natural conditions. Solar panel power depends on the intensity of sunlight received and the temperature of the surrounding environment. In order to get the maximum output power of the solar panel, an additional device called the solar tracker is needed. This research has contributed to increasing the output power of solar panels by directing solar panels perpendicular to sunlight. The use of this research is very useful in the application of the multi-axis tracker application from the sun. By knowing the rising angle of the sun every morning and the circulation angle to sunset, the tracker will work quickly so that the energy used for movement is very small. The reference angle generated by the ANFIS training algorithm is more accurate because the calculated data will be confirmed again by the sensor. And this system can work offline, without being connected to a data center, so it can be used in remote or isolated areas.Keywords : Sun Tracking System, MPPT, ANFIS, Solar Panels AbstrakPanel surya memiliki kendala pada daya keluaran yang tidak cukup besar dan sangat tergantung oleh kondisi alam. Daya panel surya sangat tergantung dari intensitas cahaya matahari yang diterima dan suhu lingkungan sekitar. Agar mendapatkan daya keluaran panel surya yang maksimal dibutuhkan perangkat tambahan yang disebut tracker matahari. Penelitian ini memiliki kontribusi dalam meningkatkan daya keluaran panel surya dengan mengarahkan panel surya tegak lurus dengan cahaya matahari. Penggunaan penelitian ini sangat bermanfaat dalam penerapan aplikasi tracker multiaxis dari matahari. Dengan mengetahui sudut terbitnya matahari pada setiap pagi hari dan sudut edar sampai dengan terbenam, tracker akan bekerja dengan cepat sehingga energi yang digunakan untuk pergerakan sangat kecil. Sudut referensi yang dihasilkan oleh algoritma pelatihan ANFIS, lebih akurat karena data hasil perhitungan akan dikonfirmasi kembali oleh sensor. Serta sistem ini dapat bekerja secara offline, tanpa terhubung dengan pusat data, sehingga dapat digunakan pada area terpencil atau terisolasi.Kata Kunci : Posisi Sudut Matahari, MPPT, ANFIS, Panel Surya  
Application Monitoring Design of Water Tank Volume and Clarity System using LabView NI MYRIO Erwin Nurdiansyah; Chasrun Hasani; Amrul Faruq
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.187 KB) | DOI: 10.22219/kinetik.v2i4.206

Abstract

A traditional controlling and measuring system both in home industry and factory have many constraints especially in the field of quality and efficiency. Operators have to control and monitor while the tank is in the water filling mode. Consequently, an effective system is needed to increase the ease in industry operation. In this work, an application design of water volume in tank and clarity system has presented using RF04 ultrasonic sensor to detect water level; furthermore, a turbidity sensor was also employed to detect water clarity. Both of them were controlled by National Instrument (NI) myRIO-1900. NI myRIO was used in this work as a controller having automatic on/off relay module employed to the water tank and integrated with a personal computer as human machine interface system (HMI). NI LabView software used as HMI in this work was also connected to Wi-Fi module to establish a remote monitoring role. As a result, the simulation shows that water level can be measured utilizing ultrasonic sensor as well as turbidity sensor detection for water clarity.
PLC Human Machine-Interfaces Based System for Vietnam Drip Coffee Maker Application Nur Alif Mardiyah; Akhmad Hakam Sudrajat; Amrul Faruq
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1436.908 KB) | DOI: 10.22219/kinetik.v3i1.272

Abstract

The most recent development of digital technology is rapidly growing having a strong impact in daily activities. Automation is a trend in society to make those activities become easier. Moreover, efficiency has played the main role in the automation concept. For example, when making a drink which requires to accurately mix all required ingredients, like sugar, tea, and also coffee, the process may take time. Meanwhile, other more important processes have waited to be carried out. The idea of fasten up these activities may be preferable, exemplified by making an automatic drink maker machine. Moreover, coffee has been popular drink fancied by most people on the society. Hence, due to the high load of the people’s activity, everything is required to be instant and efficient. According to this trend, to provide an efficient, easy, and good management, we need to create an automatic, fast, and accurate system control which can be implemented by using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). Meanwhile, in this research, Omron PLC and HMI are utilized to build an automatic drink maker device of Vietnamese Drip Coffee designed to resolve the society’s needs of coffee with higher efficiency of serving process. The automatic coffee maker device of Vietnamese Drip Coffee based on PLC and HMI is a device designed to simplify the making process of Vietnamese Drip Coffee in hot condition. This device can be operated by only touching/tapping on its coffee menu choices. The design of this device has the main purpose to operate and test the control system based on PLC and HMI to control and monitoring the automatic process of producing Vietnamese Drip Coffee started from choosing the coffee types until mixing process.
REPLICATION OF COMPARATIVE METHODS FOR SINGLE DATABASE PERFORMANCE IN CENTOS OPERATION SYSTEM WITH MAXSCALE Merinda Lestandy; Mochammad Arif Hidayatullah; Amrul Faruq; Machmud Effendy; Muhammad Irfan
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 4, No 2 (2020)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (723.844 KB) | DOI: 10.22373/cj.v4i2.7753

Abstract

Processing data in an institution or organization has become an activity or routine for each meeting. In processing data, of course there are various kinds of problems, ranging from missing data, either because of an error in entering data or the result of a system failure. To overcome these problems, in an agency or company must have data backup, so as to create problems that occur in the data, the institution still has data backup. To call, another method of database replication is used. From the test results obtained data on the value of RTA (Round Trip Average) that is the time required for one time sending and receiving data from the replication database is 5426.22 ms and for compilation service diagrams a query attack occurs with a percentage of 29% in the database applications that produce 1774.45 ms results and for service diagrams at a query attack percentage of 29% a single database estimates the server down.