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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Jurnal Ilmu Komputer dan Informasi IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Semantik MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Bulletin of Electrical Engineering and Informatics Rekam : Jurnal, Fotografi, Televisi Animasi JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Journal of Urban Society´s Arts Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Mathematical and Fundamental Sciences Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics agriTECH JFA (Jurnal Fisika dan Aplikasinya) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi SMATIKA EMITTER International Journal of Engineering Technology Proceeding of the Electrical Engineering Computer Science and Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Conference on Innovation and Application of Science and Technology (CIASTECH) JAVA Journal of Electrical and Electronics Engineering Jurnal Mnemonic Indonesian Journal of Electrical Engineering and Computer Science Aiti: Jurnal Teknologi Informasi Journal of Computer Networks, Architecture and High Performance Computing JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknologi Informasi Cyberku Makara Journal of Technology Smatika Jurnal : STIKI Informatika Jurnal
Mochamad Hariadi
Institut Teknologi Sepuluh Nopember
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Journal : Jurnal Ilmiah Kursor

 1 
SUPERRESOLUTION USING PAPOULIS-GERCHBERG ALGORITHM BASED PHASE BASED IMAGE MATCHING Budi Setiyono; Mochamad Hariadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 6 No 3 (2012)
Publisher : Universitas Trunojoyo Madura

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Citra resolusi tinggi (High Resolution Image) akan memberikan informasi yang lebih detail, sehingga analisis terhadap citra tersebut menjadi lebih akurat. Banyak bidang memerlukan citra resolusi tinggi antara lain adalah medical, penginderaan satelite, citra dari teleskop serta pengenalan pola.Pada penelitian ini dilakukan proses untuk mendapatkan citra resolusi tinggi, yang dikenal dengan superresolution. Sebagai citra referensi, digunakan lebih dari satu citra, namun demikian, citra-citra tersebut berada pada scene yang sama. Dua tahap utama dalam superresolution adalah registrasi dan rekonstruksi. Registrasi yang akurat diperlukan untuk mendapatkan hasil rekonstruksi yang baik. Phase-Based Image Matching (PBIM) digunakan untuk estimasi translasi pada tahap registrasi. Hanya translasi sampai ketelitian sub pixel yang berkontribusi dalam rekonstruksi. Untuk mendapatkan translasi sampai level sub pixel, dilakukan fitting disekitar puncak. Sedangkan untuk rekonstruksi ke dalam Grid Resolusi tinggi digunakan algoritma Papoulis-Gerchberg. Penulis melakukan kolaborasi antara registrasi dengan PBIM dan rekonstruksi menggunakan algoritma PapoulisGerchberg. Uji coba dilakukan penulis dengan obyek serangkaian citra dengan banyak tekstur dan sedikit tekstur. Dari hasil uji coba, citra dengan banyak tekstur akan menghasilkan Peak Signal to Noise Ratio (PSNR) rata-rata 21,62. Sedangkan untuk citra yang kurang mengandung tekstur 19,54. Kata kunci: Superresolution, Registrasi, Rekonstruksi, Phased Based Image Matching. Abstract High Resolution Image provide more detail information, so that it obtain more accurate image analysis. Many areas require high resolution image, such as medical, sensing satellite, image of the telescope and pattern recognition. This research make a process to obtain high resolution images, known as superresolution. This superresolution using a series of images in the same scene as the reference image. Two main stages in the super resolution are the registration and reconstruction. An accurate registration is required to obtain a great reconstruction results. Phase-Based Image Matching (PBIM) will be used to estimate pixels translation at the registration stage. Only sub-pixels translation which contribute to the reconstruction phase. We used the function fitting around the peak point, to obtain sub pixel accurate shift. While reconstruct a high-resolution image use Papoulis-Gerchberg algorithm. The author collaborate registration and reconstruction. Registration using PBIM and reconstruction using Papoulis-Gerchberg algorithm. Experiments have been done with a series of images that contain much texture and less texture. The experimental results with images contain much texture produces an average Peak Signal to Noise Ratio (PSNR) 21.62. While image contain less texture produces PSNR 19.54.
OPTIMIZING OF BOXING AGENT BEHAVIOR USING ELITISM BASED GENETIC ALGORITHM Anang Kukuh Adisusilo; Mochamad Hariadi; Ahmad Zaini; Supeno Mardi Susiki Nugroho
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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OPTIMIZING OF BOXING AGENT BEHAVIOR USING ELITISM BASED GENETIC ALGORITHM aAnang Kukuh Adisusilo, bMochamad Hariadi, cAhmad Zaini, d Supeno Mardi Susiki Nugroho aDepartment of Information Engineering, Faculty of Engineering, University of Wijaya Kusuma Surabaya b,c,dIntelligent Network Expertise Multimedia Department of Electrical Engineering, Faculty of Industrial Technology, Sepuluh Nopember Institute of Technology Surabaya Email: anang@anang65.web.id Abstrak Pola perilaku agen tinju pada permainan tinju dipengaruhi oleh beberapa faktor antara lain teknik gerakan bertinju, jenis pukulan tinju, stamina, dan energi pukulan. Pola perilaku agen tinju secara umum menggunakan variabel random dengan distribusi event dari setiap state secara acak. Penelitian dengan menggunakan FSM (Finite State Machine) berbasis algoritma genetika, menghasilkan nilai fitness 0.96, untuk pola perilaku agen cenderung maju kearah lawan, energi pukulan cenderung sedikit, dan menggunakan jenis pukulan dengan objektivitas tinggi. Penelitian ini menggunakan fungsi elitism pada algoritma genetika untuk dapat menghasilkan nilai fitness yang stabil dan pola perilaku agen tinju yang lebih baik dibandingkan tanpa menggunakan fungsi elitism. Nilai fitness yang dihasilkan dari penelitian ini diantara 3.101748 sampai 3.14738 dan nilai fitness optimal diantara 2.78083 sampai 3.167174, dengan siklus algoritma genetika lebih besar sama dengan generasi ke-25. Pola perilaku agen tinju yang dihasilkan berdasarkan nilai fitness adalah menyerang menggunakan satu jenis pukulan uppercut right dan tiga pukulan jab, dengan energi pukulan diantara 48 sampai 52 dan pola permaianan cenderung maju sambil melindungi wajah (covered). Pola perilaku agen tinju dari nilai fitness adalah menyerang menggunakan satu jenis pukulan uppercut right dan tiga pukulan jab dengan energi pukulan diantara 48 sampai 52 dengan pola permaianan cenderung maju dan melindungi wajah (covered). Kata kunci: Perilaku agen, Algoritma Genetika, Optimasi, Permainan Tinju, FSM. Abstract Boxing agent behavior patterns in the game of boxing is affected by several factors, i.e. the technique of boxing movements, type of punch, stamina, and energy of the punch. Boxing agent behavior patterns in general use variable random event where is state distribution randomly. A study using FSM (Finite State Machine) based on genetic algorithms, resulting fitness value 0.96 for boxing agent behavior patterns that tend to move towards the opponent , used energy to blow is likely small, and it uses the kind of blow that has high objectivity. This study will utilize elitism function in genetic algorithms to produce a stable fitness and better boxing agent behavior patterns than the one use genetic algorithms without elitism function. Fitness value result from this study between 3.14738 and 3.101748 and the optimal fitness value between 2.78083 to 3.167174, with a genetic algorithm cycle equal or more than the 25th. The boxing agen behavior patterns generated from fitness value is to attack using single type of blow, right uppercut punch and jab with a three-punch blow energy between 48 to 52 and patterns game that tend to move foward with covered the face. Key words: Agent behavior, Genetic Algorithm, Optimation, Boxing game, FSM
POINT CORRESPONDENCE CORRECTION BASED ON SURFACE CURVATURE FEATURES Eko Mulyanto Yuniarno; Mochamad Hariadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 6 No 4 (2012)
Publisher : Universitas Trunojoyo Madura

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3D computer model of a real object has been widely used in various applications such as motion capture, computer vision and computer graphics. To build a 3D computer model, multiview data point cloud of real object from different view point that obtained from a 3D scanner must be registered to placing the multiview data point cloud into a common coordinate system. Correspondence to find pair point matching is an important step in registration. False correspondence will affected to the registration quality.A novel technique of point correspondence correction between two point clouds is presented in this paper. The correspondence technique is started by selecting pair point matching candidate base on two reference point constraint then followed by correspondence correction using surface curvature feature. We tested the technique by applying thecorrespondence correction technique into three registration algorithm registration which is ICP, ICP-AIF and ICP-SCF then compare it with the original registration algorithm The result shows that registration algorithm using correspondence correction 63% faster, 23% more accurate and to find 530% more correct pair matching point than the original registration algorithm.
QUALITY IMPROVEMENT OF OBJECT EXTRACTION FOR KEYFRAME DEVELOPMENT BASED ON CLOSED-FORM SOLUTION USING FUZZY CMEANS AND DCT-2D Ruri Suko Basuki; Mochamad Hariadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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QUALITY IMPROVEMENT OF OBJECT EXTRACTION FOR KEYFRAME DEVELOPMENT BASED ON CLOSED-FORM SOLUTION USING FUZZY CMEANS AND DCT-2D aRuri Suko Basuki, bMochamad Hariadi, cMauridhi Hery Purnomo a,b,cFaculty of Industrial Technology, Dept. of Electrical Engineering Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih, Sukolilo, Surabaya, Jawa Timur, Indonesia a Faculty of Computer Science, Dian Nuswantoro University Jalan Imam Bonjol, Semarang, Indonesia E-mail: a rurisb@research.dinus.ac.id Abstrak Penelitian ini bertujuan untuk meningkatkan kualitas ekstraksi obyek pada citra tunggal hasil pemecahan frame dari video sekuensial yang terkompresi. Kualitas hasil ekstraksi obyek dengan algoritma closed-form solution menurun karena adanya beberapa perubahan nilai intensitas pada channel RGB. Sehingga di sekitar batas tepi obyek hasil ekstraksi terlihat kasar baik secara visual maupun hasil pengukuran dengan Mean Squared Error (MSE) antara obyek hasil ekstraksi dengan ground truth. Untuk meningkatkan kualitas hasil ekstraksi objek, nilai threshold pada unknown region ditentukan melalui adaptive threshold yang diperoleh dengan mengaplikasikan algoritma Fuzzy C-Means (FCM). Pemilihan algoritma FCM karena dalam penelitian sebelumnya algoritma ini menunjukkan hasil yang lebih robust dibandingkan algoritma Otsu untuk mendapatkan nilai threshold yang optimal. Sedangkan untuk menghaluskan obyek di sekitar daerah batas tepi digunakan filter Discrete Cosine Transform (DCT) – 2D. Dari 10 obyek yang digunakan dan dievaluasi dengan MSE menunjukkan peningkatan rata-rata sebesar 31.55%. Namun pendekatan ini tidak begitu robust pada citra yang memiliki kemiripan warna. Penggabungan pendekatan ini dengan optimasi cost function dalam alpha region pada basis spectrum diharapkan mampu meningkatkan kinerja algoritma ekstraksi obyek pada penelitian selanjutnya. Kata kunci: Closed-form Solution, Algoritma Fuzzy C-Means, Discrete Cosine Transform-2D. Abstract The research is aimed to improve the quality of the extraction of the object in a single image resulted from frame’s fragmentation of sequential compressed video. The quality of the extracted objects with closed-form solution algorithm decreased due to some changes in the intensity values on the RGB channel. Thus, the extraction result around the boundary edges of objects visually seemed to be rough and when it was measured with the Mean Squared Error (MSE) beween the object extraction results with ground truth. To improve the quality of the extracted object, the threshold value on unknown region was determined by adaptive threshold obtained by applying the Fuzzy C-Means algorithm (FCM). FCM algorithm is chosen since in the previous research this algorithm gives more robust results than Otsu algorithm to obtain the optimal threshold value. Meanwhile, to eliminate noise around the border area, this research applies Discrete Cosine Transform (DCT) - 2D filters. The result of 10 objects used and evaluated with the MSE showed an average increase of 31.55%. However, this approach is not so robust to images having similar color. Combination of this approach with optimization of the cost function on the alpha region based on spectrum is expected improving the performance of object extraction algorithm for the next research. Key words: Closed-form Solution, Fuzzy C-Means Algorithm, Discrete Cosine Transform-2D
PERINGKAT WEBSITE PERGURUAN TINGGI BERBASIS ANALISA HYPERLINK MENGGUNAKAN FACTOR ANALYSIS Yuhefizar -; Mochamad Hariadi; Yoyon K Suprapto
Jurnal Ilmiah Kursor Vol 6 No 1 (2011)
Publisher : Universitas Trunojoyo Madura

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Factor analysis is a multivariate method that is used to analyze correlation among indicator variables so that it can be mapped into some factors. Previous research has defined the importance of the role of a hyperlink from a website, but did not examine the most influential variables from some specified hyperlink variables. It is therefore necessary to obtain a factor analysis of the factors that affect the quality of a website from some specified hyperlink variables. Due to this analysis, top 25 university websites from webometrics of January 2011 edition rank have been selected as the research objects. The hyperlink data was obtained by utilizing two search engines, Google.com and Yahoo.com, then this hyperlink data were analyzed using factor analysis methods. The result should that the role of hyperlink total factor (0,254) and external hyperlinks factor (0,253) greatly affect the quality of a website on the review in terms of hyperlink perspective with analysis factor. This research also resulted in a new rank of university websites that can be used as one parametric for a good website's according to hyperlink analysis. The results of this analysis was tested at the level of correlation with parameters of size and visibility webometrics using Pearson correlation method with a highly significant result of 0.575.
ENHANCEMENT OF 3D SURFACE RECONSTRUCTION OF UNDERWATER CORAL REEF BASE ON SIFT IMAGE MATCHING USING CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION AND OUTLIER REMOVAL Pulung Nurtantio Andono; Ricardus Anggi Pramunendar; Catur Supriyanto; Guruh Fajar Shidik; I Ketut Eddy Purnama; Mochamad Hariadi
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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ENHANCEMENT OF 3D SURFACE RECONSTRUCTION OF UNDERWATER CORAL REEF BASE ON SIFT IMAGE MATCHING USING CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION AND OUTLIER REMOVAL aPulung Nurtantio Andono, bRicardus Anggi Pramunendar, cCatur Supriyanto, dGuruh Fajar Shidik,e I Ketut Eddy Purnama, fMochamad Hariadi a,b,c,dFaculty of Computer Science, Dian Nuswantoro University Jalan Imam Bonjol, No. 207, Semarang 50131, Indonesia e,fFaculty of Industrial Technology, Dept. of Electrical Engineering, ITS, Surabaya, Indonesia Email: a pulung@research.dinus.ac.id Abstrak Penelitian ini menggambarkan peningkatan kualitas rekonstruksi 3D permukaan terumbu karang bawah laut menggunakan sistem kamera stereo. Algoritma Contrast Limited Adaptive Histogram image Equalization (CLAHE) diusulkan untuk meningkatkan kualitas citra bawah laut tersebut, karena menurunnya kualitas citra bawah laut dapat disebabkan oleh penyerapan dan hamburan sinar matahari. Dalam mengembangkan rekonstruksi 3D permukaan bawah laut, pasangan citra stereo diekstrak secara manual dari rekaman video yang diperoleh, yang kemudian dilakukan proses pencocokan citra stereo menggunakan algoritma SIFT. Kelebihan algoritma SIFT tersebut adalah tahan terhadap perubahan skala, transformasi, dan rotasi dari sepasang citra tersebut. Banyaknya matching point antar 2 citra stereo dijadikan ukuran untuk mengetahui kinerja CLAHE terhadap algoritma SIFT. Hasil penelitian menunjukan bahwa penggunaan CLAHE dan outlier removal mampu meningkatkan jumlah matching point sebesar 56%. Keberhasilan CLAHE tersebut perlu diujikan ke beberapa algoritma matching point yang lain. Perbandingan beberapa algoritma matching point yang menerapkan CLAHE dapat membuktikan bahwa CLAHE sangat cocok dalam meningkatkan kinerja algoritma matching point dan rekonstruksi permukaan 3D citra bawah laut. Kata kunci: Rekonstruksi 3D, Citra Bawah Laut, SIFT, CLAHE. Abstract This research describes an enhancement of 3D Reconstruction coral reef images using stereo camera system. Contrast Limited Adaptive Histogram image Equalization (CLAHE) algorithm was proposed to enhance the image quality in preprocessing area, since the quality of underwater images degrades by the absorption and scattering of light. To develop a 3D-representation of the seafloor, image-pairs were first extracted from the video footage manually, then corresponding points are automatically extracted from the stereo-pairs by SIFT matching algorithm, which is invariant to scale, translation, and rotation. Number of matching points is used to evaluate the performance of SIFT with and without CLAHE. As a result, the promising techniques provides better 3D reconstruction details of coral reef imagesin total, the combination of CLAHE and outlier removal performs the enhancement for 56%. For further, CLAHE need to be performed to other image matching techniques. The comparison of different image matching techniques with and without CLAHE can prove that CLAHE is appropriate as image enhancement method for image matching and 3D surface reconstruction. Key words: 3D Reconstruction, Underwater Image, SIFT, CLAHE.
PERILAKU TAKTIS UNTUK NON - PLAYER CHARACTERS DI GAME PEPERANGAN MENIRU STRATEGI MANUSIA MENGGUNAKAN FUZZY LOGIC DAN HIERARCHICAL FINITE STATE MACHINE Supeno Mardi Susiki Nugroho; Yunifa Miftachul Arif; Mochamad Hariadi; Mauridhi H Purnomo
Jurnal Ilmiah Kursor Vol 6 No 1 (2011)
Publisher : Universitas Trunojoyo Madura

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Nowadays, the proliferation of game technology especially in intelligent human-like NPCs (Non-Player Characters) leads to more adaptive behavior of NPCs maneuvers. Providing smoother behaviors require comprehensive rules base which can respond to players behaviors. Addressing this requirement we propose NPCs which had tactical behaviors based on fuzzy logic. The fuzzy logic defines four type behaviors for the NPCs, which depend on NPC health, ammo, and distance of the enemy.Those behaviors implemented on two intelligent agents employed Hierarchical Finite State Machine to express the maneuver actions of NPC during combat scenes. Using First Person Game Engine, the performance of NPCs with fuzzy behavior compared with NPC without fuzzy behavior. The results of experiment showed the performance of the NPC with Fuzzy behavior outperform 80% better than the NPC without fuzzy behavior.
Co-Authors Abd Kadir Mahamad Achmad Teguh Wibowo Aditiya, Fajar Adlan Hakim Ahmad Agung Dewa Bagus Soetiono Ahmad Fathur Muhtadin Ahmad Zaini Ahmad Zainul Fanani Aji Prasetya Wibawa Alfiyan Alfiyan, Alfiyan Anang Kukuh Adisusilo Andreas Andrianingsih Arifin Arifin Arry Maulana Syarif Astrid Novita Putri, Astrid Atris Suyantohadi Atris Suyantohadi Atris Suyantohadi Bambang Purwantana Bandung Arry Sanjoyo Beny Yulkurniawan Victorio Nasution Beny Yulkurniawan Victorio Nasution Bernaridho Hutabarat, Bernaridho Budi Setiyono Cahyo Darujati Cahyo Darujati Catur Supriyanto Catur Supriyanto Chandra Eko Wahyudi Utomo Christyowidiasmoro Christyowidiasmoro Damastuti, Fardani Annisa Deny Kurniawan Djunaidi, Fariz DWI CAHYONO Dwi Ratna Sulistyaningrum Eko Mulyanto Yuniarno Eko Mulyanto Yuniarno Endah Tri Esti Handayani Endang Setyati Evi Rokhayati Fachri, Moch Fachrul Kurniawan Fresy Nugroho Fresy Nugroho Fresy Nugroho Gunawan Gunawan Gunawan Guruh Fajar Shidik H. Hammad, Jehad A. Harfianti, Nadya Putri Hartarto Junaedi Hendrata, Ferial Hindarto, Djarot I Ketut Eddy Purnama I Ketut Purnama, I Ketut I.G.P. Asto Buditjahjanto Ingrid Nurtanio Jarot Dwiprasetyo Jaya Pranata, Jaya Jehad A. H. Hammad Joan Santoso Johannes Gerdes Kasman Kasman Ketut Tirtayasa Khothibul Umam Koeshardianto, Meidya Kurniawan, Fachrul Latius Hermawan Lukman Zaman mardi, Supeno Masy Ari Ulinuha Matahari Bhakti Nendya, Matahari Bhakti Mauridhi H Purnomo Mauridhi H. Purnomo Mauridhi H. Purnomo Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Herry Purnomo Mauridhi Hery Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Purnomo, Mauridhi Mauridhy Hery Purnomo Mauridhy Hery Purnomo Moch Fachri Moh. Aries Syufagi Moh. Aries Syufagi Moh. Zikky Moh. Zikky, Moh. Muhammad Rivai Muhammad Shodiq, Muhammad Muharman Lubis Muhtadin ., Muhtadin Muhtadin Muhtadin Munir Munir Nugrahardi Ramadhani Padmasari, Ayung Candra Prasetyo, Didit Pulung Nurtantio Andono Radi Radi Rahmat Fauzi Rahmat Syam Ratih Titi Komalasari Restuadi Studiawan Ricardus Anggi Pramunendar Ruri Suko Basuki Saiful Bukhori Saiful Bukhori Saiful Yahya Samuel Gandang Gunanto Sharifah Saon Shung Ping Chen Soetiono, Agung Dewa Bagus Sri Wiwoho Mudjanarko, Sri Wiwoho Suhartono Sukirman Sukirman Supeno Mardi S. N, Supeno Mardi Supeno Mardi Susiki Nugroho, Supeno Mardi Surya Sumpeno Susi Juniastuti Tri Arief Sardjono Tri Daryatni Wahyuddin, Mohammad Iwan Wisnu Widiarto Yoyon K Suprapto Yoze Rizki Yuhefizar Yuhefizar Yulianto Tejo Putranto Yunifa Miftachul Arif Zaini, Ahmad Zaman, Lukman