Articles
<![CDATA[Increasing Smoke Classifier Accuracy using Naïve Bayes Method on Internet of Things ]]>
<![CDATA[Putrada, Alieja Muhammad]]>;
<![CDATA[Abdurohman, Maman]]>;
<![CDATA[Putrada, Aji Gautama]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 1, February 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v4i1.704
<![CDATA[This paper proposes fire alarm system by implementing Naïve Bayes Method for increasing smoke classifier accuracy on Internet of Things (IoT) environment. Fire disasters in the building of houses are a serious threat to the occupants of the house that have a hazard to the safety factor as well as causing material and non-material damages. In an effort to prevent the occurrence of fire disaster, fire alarm system that can serve as an early warning system are required. In this paper, fire alarm system that implementing Naïve Bayes classification has been impelemented. Naïve Bayes classification method is chosen because it has the modeling and good accuracy results in data training set. The system works by using sensor data that is processed and analyzed by applying Naïve Bayes classification to generate prediction value of fire threat level along with smoke source. The smoke source was divided into five types of smoke intended for the classification process. Some experiments have been done for concept proving. The results show the use of Naïve Bayes classification method on classification process has an accuracy rate range of 88% to 91%. This result could be acceptable for classification accuracy. ]]>
<![CDATA[Improving Distributed Denial of Service (DDOS) Detection using Entropy Method in Software Defined Network (SDN) ]]>
<![CDATA[Abdurohman, Maman]]>;
<![CDATA[Prasetiawan, Dani]]>;
<![CDATA[Yulianto, Fazmah Arif]]>
<![CDATA[ ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 4 (2017): ComTech ]]>
Publisher : <![CDATA[Bina Nusantara University ]]>
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DOI: 10.21512/comtech.v8i4.3902
<![CDATA[This research proposed a new method to enhance Distributed Denial of Service (DDoS) detection attack on Software Defined Network (SDN) environment. This research utilized the OpenFlow controller of SDN for DDoS attack detection using modified method and regarding entropy value. The new method would check whether the traffic was a normal traffic or DDoS attack by measuring the randomness of the packets. This method consisted of two steps, detecting attack and checking the entropy. The result shows that the new method can reduce false positive when there is a temporary and sudden increase in normal traffic. The new method succeeds in not detecting this as a DDoS attack. Compared to previous methods, this proposed method can enhance DDoS attack detection on SDN environment.]]>
<![CDATA[Increasing The Precision Of Noise Source Detection System using KNN Method ]]>
<![CDATA[Nando, Parlin]]>;
<![CDATA[Putrada, Aji Gautama]]>;
<![CDATA[Abdurohman, Maman]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v4i2.757
<![CDATA[This paper proposes Accurate Noise Source Detection System using K-Nearest Neighbor (KNN) Method. Noise or sound intensity is usually measured in decibels (dB). In an educational environment the recommended noise index limit is 55 dB. It means that noise louder than that limit is prohibited. While a loud noise in a campus area occurred, it will be troublesome for the authorities to deal with the matter. This paper proposes a noise source detection system that can locate the position of the noise source. This system used Df analog V2 voice sensor for detecting the loud noise intensity. A microcontroller with WiFi capabilities will allow the system to communicate with an Internet of Things (IoT) platform that can perform a learning method to detect the location of the loud noise source. KNN method is used as the learning method. The result shows a user is able to get a warning related to the noise that occurs in an area at once. The precision position of the noise source can be detected with 70% average accuracy rate]]>
<![CDATA[Improving Reliability of Wireless Sensor Network (WSN) Using Network Coding Multipath Routing ]]>
<![CDATA[Abdurohman, Maman]]>
<![CDATA[ ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 3 (2017): ComTech ]]>
Publisher : <![CDATA[Bina Nusantara University ]]>
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DOI: 10.21512/comtech.v8i3.3876
<![CDATA[This research proposed new method to improve performance of WSN. It used network coding on transmission scheme. The researcher had modified the existing network coding multipath routing for a novel node selection to own residual power node in network coding routing mechanism and to improve reliability of a WSN. This routing mechanism was placed in router for routing purpose. Then, Software network simulation method was done by using OMNET++ platform and MiXiM Framework library. The result shows that proposed method to select nodes and execute network coding succeeds on improving performance of WSN like the reliability compared to the previous method.]]>
<![CDATA[Increasing The Precision Of Noise Source Detection System using KNN Method ]]>
<![CDATA[Nando, Parlin]]>;
<![CDATA[Putrada, Aji Gautama]]>;
<![CDATA[Abdurohman, Maman]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v4i2.757
<![CDATA[This paper proposes Accurate Noise Source Detection System using K-Nearest Neighbor (KNN) Method. Noise or sound intensity is usually measured in decibels (dB). In an educational environment the recommended noise index limit is 55 dB. It means that noise louder than that limit is prohibited. While a loud noise in a campus area occurred, it will be troublesome for the authorities to deal with the matter. This paper proposes a noise source detection system that can locate the position of the noise source. This system used Df analog V2 voice sensor for detecting the loud noise intensity. A microcontroller with WiFi capabilities will allow the system to communicate with an Internet of Things (IoT) platform that can perform a learning method to detect the location of the loud noise source. KNN method is used as the learning method. The result shows a user is able to get a warning related to the noise that occurs in an area at once. The precision position of the noise source can be detected with 70% average accuracy rate]]>
<![CDATA[Performance Improvement of Non Invasive Blood Glucose Measuring System With Near Infra Red Using Artificial Neural Networks ]]>
<![CDATA[Pamungkas, Rizaldi Ramdlani]]>;
<![CDATA[Putrada, Aji Gautama]]>;
<![CDATA[Abdurohman, Maman]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 4, November 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v4i4.844
<![CDATA[Measurement of body blood sugar levels is one of the important things to do to reduce the number of people with diabetes mellitus. Non-invasive measurement techniques become a blood sugar measurement technique that is more practical when compared to invasive techniques, but this technique has not shown too high levels of accuracy, specificity and sensitivity. For this reason, the non-invasive measurement model using NIR and ANN is proposed to improve the performance of non-invasive gauges. Non-invasive blood sugar measuring devices will be built using a nodemcu board with photodiaodes and NIR transmitters whose data is then processed using ANN models compared to invasive blood sugar data obtained from 40 data. 40 data obtained then used as raw data to build ANN models which 75% percent of it use as training data and 25% od it will be use as testing data to validate accuration of the model been built, the split of data doing randomly without any interference from programmer or model designer. All the data gathered are data collected from all volunteers which willingly to test their blood glucose using invasive glucose meter and non invasive glucose meter which been built. The invasive glucose meter used to gather raw data of blood glucose is SafeAccu-2 with 95% level of accuracy so the accuracy and error parameter calculated in this research are based on that 95% level accurcy of the invasive device.]]>
<![CDATA[Software for Simplifying Embedded System Design Based on Event-Driven Method ]]>
<![CDATA[Maman Abdurohman]]>;
<![CDATA[Arif Sasongko]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 3: June 2015 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v5i3.pp491-502
<![CDATA[Complexity of embedded system application increases along with the escalation of market demand. Embedded system design process must be enhanced to face design complexity problem. One of challenges in designing embedded system is speed, accuracy, and flexibility. The design process is usually conducted recursively to fulfill requirement of user and optimization. To solve this problem, it needs a system design that is flexible for adaptation. One of solutions is by optimizing all or some of the design steps. This paper proposes a design framework with an automatic framework code generator with of event driven approach. This software is a part of a design flow which is flexible and fast. Tron game and simple calculator are presented as a case study. Test result shows that this framework generator can increase speed of design’s flexibility.]]>
<![CDATA[Automated Navigation System based on Weapon-Target Assignment ]]>
<![CDATA[Gayuh Titis Permana]]>;
<![CDATA[Maman Abdurohman]]>;
<![CDATA[Mohammad Khairudin]]>;
<![CDATA[Mohammad Lutfi]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 3: December 2011 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v9i3.735
<![CDATA[Operating of weapon on the tank is mostly by manually. It is not desired performance for a critical operation. An automatic control system is required to operate the weapon with the target while maintaining the accuracy. In this paper has designed an automatic weapon control system using object image proccessing. Various an image processing methods used to improve the weapon accuracy to obtain the intended target. The method used in digital image processing is the Camshift motion tracking method. This method is compared with the Lucas Canade motion tracking method. This comparison is conducted to found more precise results between the two methods. Results of object image processing are used to control the direction of the weapon that towards the desired goal. The results show that the implementation of the Lucas Canade motion tracking method using fire simulation tools have been successful. The performance of the Lucas Canade motion tracking methods is better than the CamShift method. Using Lucas Canade method for weapon controller is accordance with the purposes.]]>
<![CDATA[Desain dan Implementasi Sistem Komunikasi Prosesor Parallel pada Aplikasi Robotik Berbasis Bus Serial I2C ]]>
<![CDATA[Tito Mubarak]]>;
<![CDATA[Sony Sumaryo]]>;
<![CDATA[Maman Abdurohman]]>
<![CDATA[ Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008 ]]>
Publisher : <![CDATA[Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia ]]>
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<![CDATA[Dewasa ini desain sistem embedded tidak cukup lagi hanya dengan menerapkan satu buahmicroprocessor atau microcontroller saja. Karena sistem yang dikontrol mempunyai peralatan dan tugas yangsemakin banyak. Sehingga perlu menerapkan desentralisasi dan paralelisme pada sistem berbasismicroprocessor.Pada Penelitian ini, dirancang suatu sistem komunikasi antar microcontroller sebagai implementasi darimicroprocessor. Yaitu berupa suatu sistem bus yang berbasis pada I2C serial bus yang dikeluarkan oleh Phillips.Bus ini berfungsi sebagai jalur penghubung antar microcontroller untuk melewatkan data-data kontrol atauparameter lain.Penelitian ini menghasilkan satu set rutin software protokol sistem komunikasi antar microcontroller yangberjalan di atas I2C serial bus sebagai lapisan fisiknya. Rutin software tersebut ditulis dalam bahasa assemblyIntel MCS-51. Kemudian diimplementasikan pada keluarga microcontroller Atmel AT89. Ruang ROM yangdigunakan oleh software inti sebanyak 392 byte (9.57% dari 4 kB) pada Master dan 565 byte (13.79% dari 4 kB)pada Slave. Sedangkan bit rate tertinggi yang diperoleh sekitar 95057.03 bps pada clock microcontroller sebesar24 MHz (2 MIPS). Sebagai bukti bahwa sistem bus berjalan sesuai rancangan, sistem tersebut digunakan padasebuah model robotika wheeled line-follower.Kata kunci: I2C serial bus, MCS-51 microcontroller, parallelism, decentralized, wheeled line-follower]]>
<![CDATA[Implementasi RSS Reader dengan kXML pada Telepon Genggam ]]>
<![CDATA[M. Deri Taufan]]>;
<![CDATA[Fazmah Arif Yulianto]]>;
<![CDATA[Maman Abdurohman]]>
<![CDATA[ Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005 ]]>
Publisher : <![CDATA[Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia ]]>
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<![CDATA[RSS merupakan singkatan dari Rich Site Summary, RDF Site Summary atau Really SimpleSyndication. RSS yang formatnya mengikuti standar XML 1.0, mempunyai struktur yang sederhana danramping, dan didesain untuk dapat membungkus informasi dengan lebih efisien. Pada penelitian ini dibuataplikasi RSS Reader pada telepon genggam. Aplikasi RSS Reader memanfaatkan API parser kXML. ParserkXML mendukung parsing secara text-based dan parsing secara binary encoding (WBXML --Wireless BinaryXML--). Kedua metode parsing tersebut dibandingkan dari sisi waktu (delay parsing) dan kebutuhan sumberdaya (memory).Dari implementasi dan analisis perbandingan kedua aplikasi tersebut didapat bahwa metode parsingdengan binary encoding memebutuhkan waktu proses yang lebih singkat dibandingkan dengan parsing secaratext-based. Dokumen WBXML lebih kecil ukurannya daripada dokumen text-based karena dokumen WBXMLdirepresentasi dalam tokens dan literal string. Karena itu memory yang dibutuhkan untuk melakukan parsingdokumen WBXML juga lebih sedikit.Kata kunci: RSS, telepon genggam, kXML, WBXML]]>
