Articles
<![CDATA[Implementasi Website Profil Madrasah Muhammadiyah Al-Munawarroh Malang Sebagai Media Informasi Bagi Masyarakat ]]>
<![CDATA[Didih Rizki Chandranegara]]>;
<![CDATA[Christian Sri Kusuma Aditya]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>
<![CDATA[ JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 4 NOMOR 2 SEPTEMBER 2020 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) ]]>
Publisher : <![CDATA[Lembaga Publikasi Ilmiah dan Penerbitan (LPIP) ]]>
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DOI: 10.30595/jppm.v4i2.6095
<![CDATA[Madrasah Muhammadiyah Al-Munawarroh adalah madrasah yang terletak di Malang dan salah satu madrasah yang berkembang. Untuk menunjang perkembangan tersebut, dibuat sebuah website profile yang dapat memberikan informasi kepada masyarakat secara cepat. Metode yang digunakan dalam pembuatan website adalah metode RAD (Rapid Application Development). Metode ini digunakan karena kami ingin melibatkan pihak madrasah dalam pembuatan website, agar website yang dibuat dapat bermanfaat secara penuh dan sesuai dengan kebutuhan penyebaran informasi bagi madrasah. Hasil dari pembuatan website profile menunjukkan bahwa pihak madrasah dapat dengan mudah menyebarkan informasi-informasi penting seperti jadwal pendaftaran siswa, informasi mengenai madrasah hingga informasi lowongan pekerjaan yang ada di madrasah.]]>
<![CDATA[Keystroke Dynamic Authentication Using Combined MHR (Mean of Horner’s Rules) and Standard Deviation ]]>
<![CDATA[Didih Rizki Chandranegara]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>
<![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.v4i1.719
<![CDATA[Keystroke Dynamic Authentication used a behavior to authenticate the user and one of biometric authentication. The behavior used a typing speed a character on the keyboard and every user had a unique behavior in typing. To improve classification between user and attacker of Keystroke Dynamic Authentication in this research, we proposed a combination of MHR (Mean of Horner’s Rules) and standard deviation. The results of this research showed that our proposed method gave a high accuracy (93.872%) than the previous method (75.388% and 75.156%). This research gave an opportunity to implemented in real login system because our method gave the best results with False Acceptance Rate (FAR) is 0.113. The user can be used as a simple password and ignore a worrying about an account hacking in the system.]]>
<![CDATA[Controller Based Proxy for Handling NDP in OpenFlow Network ]]>
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>;
<![CDATA[Didih Rizki Chandranegara]]>
<![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.v4i1.720
<![CDATA[A significant method should be deployed in OpenFlow environment for reducing the complexity during the implementation of IPv6 neighbor discovery protocol (NDP) in multicast manner. This paper was performed for deploying reactive-based application in controller’s northbound layer for handling as well as cutting the Neighbor solicitation packet’s journey. The application had a capability for storing each of the incoming Neighbor Solicitation (NS) and Neighbor Advertisement (NA) packet information. Therefore, the controller could reply the NS packet directly by using OFPT_PACKET_OUT message that contained the NA packet extracted from the reactive application. The experiment’s result showed that the proposed approach could reduce the NS response time up to 71% than the normal result produced by the traditional/learning switch application.]]>
<![CDATA[SDN-Honeypot Integration for DDoS Detection Scheme Using Entropy ]]>
<![CDATA[Irmawati Feren Kilwalaga]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>;
<![CDATA[Syaifuddin Syaifuddin]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 3, August 2020 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v5i3.1058
<![CDATA[Limitations on traditional networks contributed to the development of a new paradigm called Software Defined Network (SDN). The separation of control and data plane provides an advantage as well as a security gap on the SDN network because all controls are centralized on the controller so when the compilation of attacks are directed the controller, the controller will be overburdened and eventually dropped. One of the attacks that can be used is the DDoS attack - ICMP Flood. ICMP Flood is an attack intended to overwhelm the target with a large number of ICMP requests. To overcome this problem, this paper proposes detection and mitigation using the Modern Honey Network (MHN) integration in SDN and then makes reactive applications outside the controller using the entropy method. Entropy is a statistical method used to calculate the randomness level of an incoming packet and use header information as a reference for its calculation. In this study, the variables used are the source of IP, the destination of IP and protocol. The results show that detection and mitigation were successfully carried out with an average value of entropy around 10.830. Moreover, CPU usage either in normal packet delivery or attacks showed insignificant impact from the use of entropy. In addition, it can be concluded that the best data collected in 30 seconds in term of the promptness of mitigation flow installation.]]>
<![CDATA[Comparison Analysis of Multipath Routing Implementation in Software Defined Network ]]>
<![CDATA[Syaifuddin Syaifuddin]]>;
<![CDATA[Muhamad Fathul Azis]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 2, May 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i2.1228
<![CDATA[Multipath routing is a path search method used as a data transmission process utilizing more than one available path on a network. The multipath routing concept is directed to substitute the single path routing concept for reducing network traffic congestion by distributing data transmission through several available paths. It can be implemented in the Software Defined Network (SDN) environment that separates the control plane and the data plane, which provides flexibility by deploying application-based solutions to resolve the problem. This paper is directed to implement the modified Deep First Search (DFS) multipath routing algorithm and compare the proposed method with Dijkstra and normal DFS multipath algorithm. The contribution was designed by combining the node, edge, path, and bucket weight using port statistics available in OpenFlow standard and manual calculation. The results of the system’s emulation showed that the overall algorithm could determine more than one path for the data transmission process. The average execution time on all algorithms produced 0.0903 ms for the modified DFS multipath algorithm, 0.0858 ms for DFS multipath algorithm, and 0.901 ms Dijkstra multipath algorithm, respectively. The QoS parameter testing results illustrated that the proposed method was better than another multipath routing algorithm in terms of throughput and jitter. However, based on packet loss percentage, the modified method was placed after normal DFS but still generated better results than Dijkstra. Overall, the implement multipath routing concept in SDN with all algorithms could be deployed to provide more than one data transmission path.]]>
<![CDATA[Low-Rate Attack Detection on SD-IoT Using SVM Combined with Feature Importance Logistic Regression Coefficient ]]>
<![CDATA[Mirza Maulana Azmi]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 2, May 2022 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v7i2.1405
<![CDATA[The evolution of computer network technology is now experiencing substantial changes, particularly with the introduction of a new paradigm, Software Defined Networking (SDN). The SDN architecture has been applied in a variety of networks, including the Internet of Things (IoT), which is known as SD-IoT. IoT is made up of billions of networking devices that are interconnected and linked to the Internet. Since the SD-IoT was considered as a complex entity, several types of attack on vulnerabilities vary greatly and can be exploited by careless individuals. Low-Rate Distributed Denial of Service (LRDDoS) is one of the availability-based attack that may affect the SD-IoT integration paradigm. Therefore, it is necessary to have an Intrusion Detection System (IDS) to overcome the security hole caused by LRDDoS. The main objective of this research was the establishment of an IDS application for resolving LRDDoS attack using the SVM algorithm combined with the Feature Importance method, namely the Logistic Regression Coefficient. The implemented approach was developed to reduce the complexity or resource’s consumption during the classification process as well as increasing the accuracy. It could be concluded that the Linear kernel SVM algorithm acquired the highest results on the test schemes at 100% accuracy, but the training time required for this model was longer, about 23.6 seconds compared to the Radial Basis Function model which only takes about 1.5 seconds.]]>
<![CDATA[Increased Accuracy on Image Classification of Game Rock Paper Scissors using CNN ]]>
<![CDATA[Muhammad Nur Ichsan]]>;
<![CDATA[Nur Armita]]>;
<![CDATA[Agus Eko Minarno]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>;
<![CDATA[Hariyady]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v6i4.4222
<![CDATA[Rock Paper Scissors is one of the most popular games in the world, because of their easy and simple way to play among young and elderly people. The point of this game is to do the draw or just to find out who loses or wins. The pandemic conditions made people unable to meet face-to-face and could only play this game virtually. To carry out this activity in a virtual way, this research facilitates a model in the form of image classification to distinguish the hand gestures s in the form of rock, paper, and scissors. This classification process utilizes the Convolutional Neural Network (CNN) method. This method is one type of artificial neural network in terms of image classification. CNN uses three stages, namely convolutional layer, pooling layer, and fully connected layer. The implementation of this method for hand gesture classification in the form of rock, scissors, and paper images in this study shows an increased average accuracy towards the previous study from 97.66% to 99%.]]>
<![CDATA[Low-rate distributed denial of service attacks detection in software defined network-enabled internet of things using machine learning combined with feature importance ]]>
<![CDATA[Muhammad Abizar]]>;
<![CDATA[Muhammad Ferry Septian Ihzanor Syahputra]]>;
<![CDATA[Ahmad Rizky Habibullah]]>;
<![CDATA[Christian Sri Kusuma Aditya]]>;
<![CDATA[Fauzi Dwi Setiawan Sumadi]]>
<![CDATA[ IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijai.v12.i4.pp1974-1984
<![CDATA[One of the main challenges in developing the internet of things (IoT) is the existence of availability problems originated from the low-rate distributed denial of service attacks (LRDDoS). The complexity of IoT makes the LRDDoS hard to detect because the attack flow is performed similarly to the regular traffic. Integration of software defined IoT (SDN-Enabled IoT) is considered an alternative solution for overcoming the specified problem through a single detection point using machine learning approaches. The controller has a resource limitation for implementing the classification process. Therefore, this paper extends the usage of Feature Importance to reduce the data complexity during the model generation process and choose an appropriate feature for generating an efficient classification model. The research results show that the Gaussian Naïve Bayes (GNB) produced the most effective outcome. GNB performed better than the other algorithms because the feature reduction only selected the independent feature, which had no relation to the other features.]]>
<![CDATA[Combination of Term Weighting with Class Distribution and Centroid-based Approach for Document Classification ]]>
<![CDATA[Sri Kusuma Aditya, Christian]]>;
<![CDATA[Sumadi, Fauzi Dwi Setiawan]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 4, November 2023 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v8i4`.1793
<![CDATA[A text retrieval system requires a method that is able to return a number of documents with high relevance upon user requests. One of the important stages in the text representation process is the weighting process. The use of Term Frequency (TF) considers the number of word occurrences in each document, while Inverse Document Frequency (IDF) considers the wide distribution of words throughout the document collection. However, the TF-IDF weighting cannot represent the distribution of words to documents with many classes or categories. The more unequal the distribution of words in each category, the more important the word features should be. This study developed a new term weighting method where weighting is carried out based on the frequency of occurrence of terms in each class which is integrated with the distribution of centroid-based terms which can minimize intra-cluster similarity and maximize inter-cluster variance. The ICF.TDCB term weighting method has been able to provide the best results in its application to SVM modeling with a dataset of 931 online news documents. The results show that SVM modeling had accuracy of 0.723, outperforming the use of other term weightings such as TF.IDF, ICF & TDCB.]]>
<![CDATA[Multipath Routing Implementation in SD-IoT Network Using OpenFlow-based Routing Metrics ]]>
<![CDATA[Atthariq, Muhammad Daffa]]>;
<![CDATA[Hidayat, Rizky Fauzi Ari]]>;
<![CDATA[Sadida, Medina Kaulan]]>;
<![CDATA[Syafa'ah, Lailis]]>;
<![CDATA[Sumadi, Fauzi Dwi Setiawan]]>
<![CDATA[ JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023) ]]>
Publisher : <![CDATA[Society of Visual Informatics ]]>
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DOI: 10.30630/joiv.7.2.1691
<![CDATA[The implementation growth of the Internet of Things (IoT) may increase the complexity of the data transmission process between smart devices. The route generation process between available nodes on the network will burden the intermediary node. One of the possible solutions for resolving the problem is the integration of Software Defined Networks and IoT (SD-IoT) to provide network automation and management. The separation of networking control and data forwarding functions may provide a multipath delivery path between each node in the IoT environment. In addition, the controller can directly extract the resource usage of the intermediary devices, which can be utilized as the routing metric variable in order to maintain the resource utilization on the intermediary devices. Instead of using traditional routing, this paper aims to develop multipath routing based on Deep First Search (DFS) and Dijkstra algorithms for acquiring an efficient path using OpenFlow-based routing metrics. The traffic monitoring module delivered the metrics extraction process, which obtained the variables using Port and Aggregate Flow Statistic features. The metrics calculation aimed to provide the multipath, which was constructed based on switches resource usage. Each selected path was chosen based on the smallest cost and probability provided by the group table feature in OpenFlow. The results showed that the Dijkstra algorithm could create the multipath more swiftly than DFS with a time difference of 0.6 s. The Quality of Service (QoS) results also indicated that the proposed routing metric variables could maintain the transmission process efficiently.]]>
