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Penerapan Dynamic Flow Removal untuk Mencegah Flow Table Overflow pada Software-Defined Networking Basuki, Achmad; Amron, Kasyful; Hari Trisnawan, Primantara
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 6: Desember 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022966715

Abstract

Software-Defined Networking (SDN) memungkinkan penerusan paket data secara terprogram dalam sebuah jaringan dengan mendefinisikan rincian flow dalam flow table setiap switch jaringan. Namun, kapasitas flow table adalah sumber daya yang terbatas, sehingga memerlukan pengelolaan yang cermat untuk hal ini. Artikel ilmiah ini membahas pengelolaan flow table dengan metode penghapusan rincian flow secara dinamis (dynamic flow removal) untuk mencegah terjadinya flow table overflow pada SDN. Dynamic flow removal yang dimaksud adalah dengan melakukan pemantauan flow expiry dan secara selektif melakukan penghapusan rincian flow yang sudah tidak lagi aktif sehingga dapat mengurangi jumlah okupansi rincian flow pada flow table. Penghapusan rincian flow secara selektif akan dipicu setiap kali kapasitas flow table hampir penuh. Implementasi dynamic flow removal dilakukan dengan studi kasus aplikasi server load-balancing berbasis round-robin pada SDN dengan framework Ryu, Mininet, dan modifikasi kapasitas flow table pada OpenvSwitch. Hasil pengujian menunjukkan bahwa penerapan metode yang diusulkan mampu mencegah terjadinya flow table overflow dengan 100% rincian flow aktif dapat menempati flow table tanpa menyebabkan kegagalan komunikasi client-server. AbstractSoftware-Defined Networking (SDN) enables programmable packet forwarding by defining flow rules in the flow table of each network switch. However, the flow table capacity is a limited resource that requires careful management. This paper discusses the implementation of dynamic flow removal in managing flow tables in an OpenFlow-based SDN switch to prevent flow table overflow. Dynamic flow removal is realized by monitoring flow expiry and selectively removing flow rules that are no longer active to reduce the number of flow rules in the flow table. Selective removal of flow rules will be triggered whenever the flow table capacity is almost full. Dynamic flow removal was implemented using a case study of a round-robin-based load-balancing server application on SDN with Ryu framework, Mininet, and a modified flow table space in OpenvSwitch. The evaluation results indicate that the proposed method can prevent flow table overflow while maintaining 100% of active flow rules in the flow table without compromising client-server communication.
Perancangan dan Implementasi Laboratorium Virtual Berbasis Ipmininet untuk Praktikum Jaringan Komputer Berbasis Website Adinata, Saif Daffa; Basuki, Achmad; Rizqika Akbar, Sabriansyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 9 (2025): September 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kebutuhan akan network engineer meningkat seiring pesatnya perkembangan infrastruktur jaringan, namun pelatihan terkendala oleh mahalnya biaya dan terbatasnya aksesibilitas laboratorium fisik. Simulator jaringan seperti Mininet menawarkan solusi, tetapi antarmuka baris perintah (CLI) yang dimilikinya kurang interaktif. Penelitian ini bertujuan mengembangkan antarmuka laboratorium virtual berbasis website menggunakan IPMininet untuk mengatasi keterbatasan tersebut, dengan fokus pada kemudahan akses dan pengalaman pengguna yang visual. Menggunakan arsitektur tiga lapis (frontend, middleware, IPMininet), sistem diuji dengan melakukan pengujian performa. Pengujian Performa mencatat waktu respon rata-rata antara 164 ms hingga 326 ms, yang mengindikasikan bahwa antarmuka yang dikembangkan mampu memberikan pengalaman pengguna yang responsif untuk pembelajaran jaringan.
Pengembangan Backend Laboratorium Virtual Dengan IPMininet Untuk Pembelajaran Routing Jaringan Komputer Athallah Nugroho, Farras; Basuki, Achmad; Akbar, Sabriansyah Rizqika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 9 (2025): September 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Laboratorium jaringan merupakan sarana penting dalam pembelajaran jaringan komputer. Namun, pengadaan dan pemeliharaan perangkat keras jaringan fisik sering kali menjadi hambatan utama, terutama di institusi pendidikan dengan keterbatasan sumber daya. Untuk menjawab tantangan tersebut, penelitian ini mengembangkan backend dari laboratorium virtual berbasis website menggunakan IPMininet, sebuah ekstensi dari Mininet yang mendukung emulasi jaringan IP hingga lapisan ketiga. Penelitian ini menerapkan model pengembangan waterfall, dimulai dari analisis kebutuhan, perancangan sistem, implementasi, hingga pengujian. Backend dirancang dalam arsitektur tiga lapis, terdiri atas frontend, middleware, dan backend. Emulator terdekat pada backend berbasis Python. Pengujian dilakukan dengan melihat fungsionalitas sistem, pengujian penggunaan sumberdaya komputer dan kinerja berdasarkan waktu respons. Hasil menunjukkan bahwa sistem berhasil menginisiasi terminal dalam rata-rata waktu di bawah 500 milidetik, sedangkan inisiasi skenario topologi dan penggunaan sumberdaya komputer berada pada waktu dan jumlah yang ideal seperti pada mininet. Dengan demikian, laboratorium virtual ini layak digunakan sebagai sarana pembelajaran jaringan secara praktis dan efisien tanpa perangkat keras fisik.
Learning number game with interactive projection for students of Sepuluh Nopember Surabaya Kindergarten Sudaryanto, Aris; Basuki, Achmad; Nurindiyani, Artiarini Kusuma; Muhammad, Farhan; Sa’dyah, Halimatus; Akbar, Zulhaydar Fairozal; Revindasari, Fony; Suhardiman, Marvel Natanael; Lazuardy, Ryan Ramadhan; Ash Shidiq, Ahmad Fauzan
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 6, No 4 (2023): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v6i4.1681

Abstract

Based on a survey by the Association of Indonesian Internet Service Providers (APJII) in 2017, 143.26 million Indonesians used the internet. This condition is exacerbated by the “online learning” during the pandemic which forces children to be exposed to gadgets more than they should, which is more than 2 hours a day. Even though gadgets can affect children's behavior. It is proven that 66 out of 100 children have a high level of gadget addiction. The negative impact of gadgets on children is caused by the one-way communication between children and gadgets. This means that the instructions only come from the gadget while the child absorbs them without any significant response. Based on these problems, we makes a two-way interactive game that can be an alternative game for children. Game Numberpedia is played with a projector, then children can play interactively by touching the image. The Numberpedia game was then donated and played at Sepuluh Nopember Surabaya kindergarten as part of community service activities. The response from the children after playing the Numberpedia game shows that this game has clear and interesting audio visuals, and arouses the enthusiasm of children to play it.
Mobile Application to Identify Indonesian Flowers on Android Platform Karlita, Tita; Basuki, Achmad; Makarti, Lakmi
EMITTER International Journal of Engineering Technology Vol 1 No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v1i1.10

Abstract

Although many people love flowers, they do not know their name. Especially, many people do not recognize local flowers. To find the flower image, we can use search engine such as Google, but it does not give much help to find the name of local flower. Sometimes, Google cannotshow the correct name of local flowers. This study proposes an application to identify Indonesian flowers that runs on the Android platform for easy use anywhere. Flower recognition is based on the color features using the Hue-Index, shape feature using Centroid Contour Distance (CCD), and the similarity measurement using Entropy calculations. The outputs of this application are information about inputted flower image including Latinname, local name, description, distribution and ecology. Based on tests performed on 44 types of flowers with 181 images in the database, the best similarity percentage is 97.72%. With this application, people will be expected to know more about Indonesia flowers.Keywords: Indonesian flowers, android, hue-index, CCD, entropy
Designing and Building of 3D Adventure Game “Tetuko: Childhood of Ghatotkacha” Using Kinect Basuki, Achmad; Nendra Putra, Jabbar
EMITTER International Journal of Engineering Technology Vol 2 No 1 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9028.441 KB) | DOI: 10.24003/emitter.v2i1.14

Abstract

Nowadays, the young people are not interested in the local culture as a “wayang” puppet. This condition threatens the extinction of some of the local culture that should be a mainstay of the industry entering an era of creative industries. On the other hand, theyare more interested in playing computer games as changing of people's lifestyles. It becomes our basic idea to produce a game as a creative product. The genre of this game is fighting-adventure. This game depictures a story of fighting between the baby Tetuko and giant Kala Pracona. The game uses Kinect and 3D platform technology to attract more players to feel their adventures. With Kinect technology, the player can control the character with his gesture. Thus, this game will increase the awareness of young people about the culture of Wayang.Keywords : 3D game, kinect,adventure, local culture, creative industry.
Remo Dance Motion Estimation with Markerless Motion Capture Using The Optical Flow Method Kurniati, Neny; Basuki, Achmad; Pramadihanto, Dadet
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.33

Abstract

Motion capture has been developed and applied in various fields, one of them is dancing. Remo dance is a dance from East Java that tells the struggle of a prince who fought on the battlefield. Remo dancer does not use body-tight costume. He wears a few costume pieces and accessories, so required a motion detection method that can detect limb motion which does not damage the beauty of the costumes and does not interfere motion of the dancer. The method is Markerless Motion Capture. Limbs motions are partial behavior. This means that all limbs do not move simultaneously, but alternately. It required motion tracking to detect parts of the body moving and where the direction of motion. Optical flow is a method that is suitable for the above conditions. Moving body parts will be detected by the bounding box. A bounding box differential value between frames can determine the direction of the motion and how far the object is moving. The optical flow method is simple and does not require a monochrome background. This method does not use complex feature extraction process so it can be applied to real-time motion capture. Performance of motion detection with optical flow method is determined by the value of the ratio between the area of the blob and the area of the bounding box. Estimate coordinates are not necessarily like original coordinates, but if the chart of estimate motion similar to the chart of the original motion, it means motion estimation it can be said to have the same motion with the original.Keywords: Motion Capture, Markerless, Remo Dance, Optical Flow
Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features Amirullah, Desi; Barakbah, Ali Ridho; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.37

Abstract

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
A Prediction System of Dengue Fever Using Monte Carlo Method Roziqin, Mochammad Choirur; Basuki, Achmad; Harsono, Tri
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.598 KB) | DOI: 10.24003/emitter.v4i1.111

Abstract

Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year. Original data gathering in Jember area that uses technique of partial data gathering has caused data missing. To make this secondary data can be processed in prediction stage there is need to conduct missing imputation by using Monte Carlo method with four different randomization method, followed by data normality test with chi-square, then continued to regression stage. We use MSE (Mean Square Error) to measure prediction error. The smallest MSE result of regression is the best regression model for prediction.
Comparison of The Data-Mining Methods in Predicting The Risk Level of Diabetes Wicaksono, Andri Permana; Badriyah, Tessy; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (813.592 KB) | DOI: 10.24003/emitter.v4i1.119

Abstract

Mellitus Diabetes is an illness that happened in consequence of the too high glucose level in blood because the body could not release or use insulin normally. The purpose of this research is to compare the two methods in The data-mining, those are a Regression Logistic method and a Bayesian method, to predict the risk level of diabetes by web-based application and nine attributes of patients data. The data which is used in this research are 1450 patients that are taken from RSD BALUNG JEMBER, by collecting data from 26 September 2014 until 30 April 2015. This research uses performance measuring from two methods by using discrimination score with ROC curve (Receiver Operating Characteristic).  On the experiment result, it showed that two methods, Regression Logistic method and Bayesian method, have different performance excess score and are good at both. From the highest accuracy measurement and ROC using the same dataset, where the excess of Bayesian has the highest accuracy with 0,91 in the score while Regression Logistic method has the highest ROC score with 0.988, meanwhile on Bayesian, the ROC is 0.964. In this research, the plus of using Bayesian is not only can use categorical but also numerical.
Co-Authors A.A. Ketut Agung Cahyawan W Adhitya Bhawiyuga, Adhitya Adinata, Saif Daffa Aditya, Sri Praba Agung Setia Budi, Agung Setia Agus Setiya Budi, Agus Setiya Agus Supriyadi Akbar, Hawwin Purnama Akbar, Zulhaydar Fairozal Alami, Muhammad Kholif Ali Awaludin Ali Ridho Barakbah Andani Angger Abdul Razak Ardhiantika, Pitra Arifin, Muhammad Jainal Arsyada, Muhammad Afifudin Arya, Putu Bagus As'ad, Sholihin As'ad, Sholihin Ash Shidiq, Ahmad Fauzan Ashadi, Imam Asmara, Rengga Athallah Nugroho, Farras Auliarahman, Muhammad Daffa Baehaqi Bagus Adi Pamungkas Bakhtiar, Fariz Andri Bambang Santosa Bambang Suhendro Bima Sena Bayu Dewantara Budi Utomo Citra Nurina Prabiantissa Dadet Pramadihanto Debianto, Ikhsan Debianto, Ikhsan Desi Amirullah, Desi Dianawanti, Dianawanti Diraja, Ananda Fitra Duanda, Prada Dwi Susanto Dzakie, Muhammad Naufal Edy Purwanto Eko Sakti Pramukantoro, Eko Sakti Eko Setiawan Endah Safitri Errol U. Hutagalung Fachrurrozie Haris, Muhammad Ahlan Fadhilah, Anjas Fadhilah Fadli, Khafidzun Fandisya Rahman Fathurrohim, Moh Fikri Aulia Fitra Abdurrachman Bachtiar Gumilang B, R. Lintang Guznan, Mahendra Habibi, Moh. Wildan Handono, Maystia Tri Hantara, Hana Hari Trisnawan, Primantara Harisna, Bernas Cakra Sakti Henryranu, Barlian Herna Puji Astutik Hidayat, Muhammad Aksa Imam, Eriria Indra Adji Sulistijono Iqbal Sabilirrasyad Iskandar, Abdullah Ismiarta Aknuranda Jabbar Nendra Putra, Jabbar Jauhari, Farid Kadir, Arif Abdul Kasyful Amron Khotibul Umam Kuncara, Yaladita Alya Kurniasari, Arvita Agus Kurniasari, Arvita Agus Kushendrahayu, Kartika Kusno Adi Sambowo Kuspadwati, Andriyani Budi Lakmi Makarti, Lakmi Lazuardy, Ryan Ramadhan M Udin Harun Al Rasyid, M Udin Harun Mahendra Data Mindrasari, Pricillia Muhammad Muttaqin Muhammad Nashirudin, Muhammad Muhammad Niswar Muhammad Yani Bhayusukma, Muhammad Yani Muhammad, Abdur R. Muhammad, Farhan Muslim, ST., MT., Ph.D, Muhammad Aziz Neny Kurniati Nugraha, Aditya Nugraha Nurdewanto, Abimanyu Danu Nurindiyani, Artiarini Kusuma Nyolinda, Shinta Putri Onny Setyawati Pamenang, Muhammad Unggul Perdanasari, Lukie Perdanasari, Lukie Pramanto, Aris Cholid Baicuni Puji Astutik, Herna Pujianto Pujianto Putra, Faris Rasyadi Putri, Rismaya Nurrahma R. Susworo Rabani, Muhammad Iqbal Raden Arief Setyawan Rahagiyanto, Angga Rahagiyanto, Angga Ramadhani, Muhammad Fauzan Ramadhani, Muhammad Fauzan Revindasari, Fony Riyanto Sigit, Riyanto Royani, Itzna Fauziah Roziqin, Mochammad Choirur Roziqin, Mochammad Choirur Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar, Sabriansyah Safrodin, Mohamad Saifullah, Halwan Alfisa Salfikar, Inzar Sanjaya, Muchsan Maulana Sasongko, Harjun Adhitya Sa’dyah, Halimatus Sesulihatien, Wahjoe Tjatur Sesulihatien, Wahjoe Tjatur Setiono Setiono Setiya Budi, Agus Setyowati Setyowati Setyowati, Aulia Dwi Stefanus Adi Kristiawan Sudaryanto, Aris Suhardiman, Marvel Natanael Sulandri, Sulandri Sunarmasto, Sunarmasto Sunarmasto, Sunarmasto Suprapto Siswosukarto Sutawijaya, Bayu Tessy Badriyah, Tessy Tita Karlita Tri Harsono Tri Pranoto, Ferry Wayan Firdaus Mahmudy Wibowo Wibowo Wibowo, Ahya Khairunissa Wicaksono, Adi Purwoko Wicaksono, Andri Permana Wicaksono, Andri Permana Widhi Yahya Widi Sarinastiti