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<![CDATA[IMPLEMENTASI KLASIFIKASI BAYESIAN UNTUK STRATEGI MENYERANG JARAK DEKAT PADA NPC (NON PLAYER CHARACTER)MENGGUNAKAN UNITY 3D ]]>
<![CDATA[Asmiatun, Siti]]>;
<![CDATA[Hendrawan, Aria]]>
<![CDATA[ Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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<![CDATA[In a game against the enemy attack strategy should be applied , making it more appealing game players to finish the game up with the objectives to beachieved. This study discusses the strategy of attacking at close range to the NPC (Non Player Character ). In a game , especially for FPS ( First Person Shooter ) , we need a strategy NPC , with the aim to make the game more attractive and realistic.Strike strategy in this research is to divide some of the behavior of NPCs attack when in the position closest to the enemy. This research applies Bayesian algorithm for classifying the behavior of the NPC attack. The classification is expected to improve the strategy against an enemy attack . NPC assault classification is divided into two offensive behavior is the behavior of hitting and biting behavior. As for the variables used in Bayesian classification is health points, attack points player and a distance obtained from NPC conditions. From the test results using testing method of Bayesian classification confusion matrix , with trial games 10 times , has resulted in the presentation level of accuracy in the confusion matrix reach a percentage of 80%. This proves that the behavior classification melee attack with Bayesian classification method can be applied with good results]]>
<![CDATA[PENGGUNAAN MODEL HIDDEN MARKOV DAN METODE NEURAL NETWORK SEBAGAI PENERAPAN TEKNOLOGI PENGENALAN WAJAH ]]>
<![CDATA[Hendrawan, Aria]]>;
<![CDATA[Pramono, Basworo Ardi]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Tadulako ]]>
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<![CDATA[The human face recognition system is one of the fields that is quite developed at this time, where applications can be applied in the field of security (security system) such as permission to access room, surveillance (surveillance), as well as the search for individual identities in the police database. The face recognition approach aims to detect faces in 2-dimensional images and sequential images of videos that have many methods such as local, global, and hybrid approaches. Hidden Model Markov (HMM) is another promising method that works well for images with different lighting variations, facial expressions, and orientations. HMM is a set of statistical models used to characterize signal properties. An artificial neural network-based approach is learned from image examples and relies on techniques from machine learning to find relevant facial image characteristics. The characteristics studied were in the form of discriminant functions (ie non-linear decision surfaces), then used for face recognition. In this study there will be an application to compare Hidden Markov Models and Neural Network Method as a Face Recognition Technology Algorithm Model.  ]]>
<![CDATA[The implementation of intelligent systems in automating vehicle detection on the road ]]>
<![CDATA[Susanto Susanto]]>;
<![CDATA[Dimas Dwi Budiarjo]]>;
<![CDATA[Aria Hendrawan]]>;
<![CDATA[Prind Triajeng Pungkasanti]]>
<![CDATA[ IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 3: September 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijai.v10.i3.pp571-575
<![CDATA[Indonesia is a country with a high population, especially in big cities. The road always crowded with various types of vehicles. Sometimes the growth of vehicles is not matched by road construction. During peak hours, too many vehicles can cause traffic jams on the road. The road is needed to be widened to accommodate the number of vehicles that pass each day. In order for road widening to be precise at locations that frequently occur in traffic jams, data on the number and classification of vehicles passing is required. Therefore, a system that can calculate and recognize the type of vehicle that passes is needed. The development of various studies on artificial intelligence especially about object detection can classify and calculate the type of vehicle. In this study, the authors used the you only look once (YOLO) object detection system using a convolution neural network (CNN) method to classify and count vehicles that pass automatically. The author uses a dataset of 600 images with 4 classes which are car, truck, bus, and motorbikes that pass through the road. The results showed that the YOLO object detection system can recognize objects consistently with accuracy more than 80% on CCTV video that installed on the road.]]>
<![CDATA[IMPLEMENTASI KLASIFIKASI BAYESIAN UNTUK STRATEGI MENYERANG JARAK DEKAT PADA NPC (NON PLAYER CHARACTER)MENGGUNAKAN UNITY 3D ]]>
<![CDATA[Siti Asmiatun]]>;
<![CDATA[Aria Hendrawan]]>
<![CDATA[ Jurnal Transformatika Vol 13, No 2 (2016): January 2016 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v13i2.139
<![CDATA[Abstract—Dalam sebuah game strategi penyerangan untuk melawan musuh harus diterapkan, sehingga lebih menarik pemain game untuk menyelesaikan permainan sampai dengan tujuan yang akan dicapai. Penelitian ini membahas tentang strategi menyerang jarak dekat untuk NPC (Non Player Character). Dalam sebuah game khususnya untuk game FPS (First Person Shooter), dibutuhkan suatu strategi NPC, dengan tujuan untuk membuat game menjadi lebih atraktif dan realistik. Strategi menyerang dalam penelitian ini adalah membagi beberapa perilaku penyerangan NPC ketika berada pada posisi paling dekat dengan musuh. Penelitian ini menerapkan algoritma bayesian untuk klasifikasi perilaku penyerangan NPC tersebut. Klasifikasi tersebut diharapkan dapat meningkatkan strategi menyerang melawan musuh. Klasifikasi penyerangan NPC dibiagi menjadi dua perilaku penyerangan yaitu perilaku memukul dan perilaku menggigit. Sedangkan untuk variabel yang digunakan dalam klasifikasi bayesian adalah health point, attack point player dan jarak yang diperoleh dari kondisi NPC. Dari hasil pengujian metode klasifikasi bayesian menggunakan pengujian confusion matrix, dengan percobaan permainan sebanyak 10 kali, telah menghasilkan presentasi tingkat akurasi pada confusion matrix mencapai nilai persentase sebesar 80 %. Hal ini membubktikan bahwa klasifikasi perilaku penyerangan jarak dekat dengan metode klasifikasi bayesian dapat diterapkan dengan hasil yang baik.]]>
<![CDATA[ANALISA PENINGKATAN KUALITAS CITRA BAWAH AIR BERBASIS KOREKSI GAMMA dan HISTOGRAM EQUALIZATION ]]>
<![CDATA[Aria Hendrawan]]>;
<![CDATA[Pulung Nurtantio Andono]]>;
<![CDATA[Susanto Susanto]]>
<![CDATA[ Jurnal Transformatika Vol 14, No 1 (2016): July 2016 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v14i1.384
<![CDATA[Underwater image of water quality in the dark, it depends on the depth of water at the time of image acquisition or image. The results of the image quality is adversely affecting the results matching the image pairs underwater with SIFT algorithm. This research aims to use the method of image preprocessing and Histogram Equalization Gamma Correction that works to improve the quality of images underwater. The results showed 27.76% increase using image preprocessing Gamma Correction and Histogram Equalization compared with no increase in image quality. Results of paired t-test has the null hypothesis is rejected so that there is a significant difference between the application of Gamma Correction Histogram Equalization with and without image enhancement.]]>
<![CDATA[Analisa Peningkatan Kualitas Citra Bawah Air Berbasis Koreksi Gamma Untuk Pencocokan Gambar Pada Algoritma SIFT ]]>
<![CDATA[Aria Hendrawan]]>
<![CDATA[ Jurnal Transformatika Vol 12, No 1 (2014): July 2014 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v12i1.89
<![CDATA[Pada lingkungan air bawah laut, faktor cahaya sangat mempengaruhi hasil kualitas citra yang didapatkan. Dengan semakin dalamnya pengambilan gambar bawah laut, maka hasil yang didapatkan nantinya akan semakin gelap kualitas citra bawah air laut tersebut. Dengan hasil kualitas citra air bawah laut yang buruk ini nantinya akan mempengaruhi hasil pencocokan pasangan gambar air bawah laut dengan metode algoritma SIFT. Dalam peneilitian ini, kami bertujuan untuk menggunakan metode baru preprocessing untuk meningkatakan kualitas citra bawah laut dengan menggunakan Koreksi Gamma. Hasil menunjukkan bahwa setelah menerapkan Koreksi Gamma pada algoritmas SIFT, keberhasilan dalam mendapatkan titik pencocokan pasangan gambar atau citra bawah laut meningkat 11,22% dibandingkan dengan keberhasilan algoritma SIFT tanpa peningkatan kualitas citra. Dari hasil uji t-test berpasangan menunjukkan bahwa hipotesa null ditolak dan menyimpulkan adanya perbedaan yang signifikan antara hasil SIFT tanpa peningkatan kualitas citra dengan SIFT yang menggunakan preprocessing Koreksi Gamma]]>
<![CDATA[Peningkatan Sumber Daya Manusia pada Koperasi FPM Jateng Sejahtera untuk Pengelolaan Sistem Informasi Manajemen ]]>
<![CDATA[Febrian Wahyu Christanto]]>;
<![CDATA[Aria Hendrawan]]>;
<![CDATA[Agusta Praba Ristadi Pinem]]>
<![CDATA[ E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 10, No 2 (2019): E-DIMAS ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/e-dimas.v10i2.3391
<![CDATA[Kebutuhan akan kecepatan pengolahan data dan informasi sekarang ini menjadi hal yang viral dan sangat penting untuk mendukung pekerjaan manusia di segala bidang. Banyak sekali bidang pekerjaan sekarang ini sudah mulai meninggalkan pekerjaan yang dilakukan secara manual oleh manusia dan beralih ke sistem komputerisasi untuk mendapatkan hasil keluaran yang lebih baik. Sistem komputerisasi sangat dibutuhkan di dunia perbankan dan koperasi simpan pinjam sekarang ini karena jumlah transaksi perbankan saat ini dalam sehari dapat mencapai ratusan bahkan ribuan transaksi. Koperasi FPM Jateng Sejahtera baru saja membangun sistem komputerisasi bertajuk sistem informasi manajemen untuk pengajuan kredit pinjaman anggota. Diharapkan dari sistem ini dapat memangkas waktu pegajuan kredit pinjaman dari semula 2 minggu menjadi hanya 3 hari. Tetapi masalah yang timbul adalah anggota koperasi belum terbiasa menggunakan sistem ini sehingga membuat frekuensi pengajuan kredit pinjaman menjadi turun. Maka diperlukan pelatihan untuk peningkatan penggunaan sistem informasi manajemen pengajuan kredit pinjaman yang akan diakomodasi dengan program Pengabdian kepada Masyarakat ini melalui metode praktikum. Diharapkan dari kegiatan ini, sistem informasi manajemen Koperasi FPM Jateng Sejahtera dapat digunakan dengan baik oleh anggota untuk menambah modal usaha.]]>
<![CDATA[Implementasi Sistem Administrasi di Unit Pelaksana Teknis Pusat Pengembangan Publikasi Ilmiah Dosen Universitas Semarang berbasis Website ]]>
<![CDATA[Muhamamd Surya Jati Pradana]]>;
<![CDATA[Aria Hendrawan]]>;
<![CDATA[B.Very Christioko]]>;
<![CDATA[Agusta Praba Ristadi Pinem]]>
<![CDATA[ Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer, Universitas Brawijaya ]]>
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DOI: 10.25126/jtiik.2021864089
<![CDATA[Pusat Pengembangan Publikasi Ilmiah Dosen (P3ID) ialah Unit Pelaksana Teknis (UPT) yang dibentuk di Universitas Semarang guna melakukan pengelolaan arsip surat yang berkaitan dengan jurnal. Kegiatan pengelolaan dan pengarsipan surat jurnal di P3ID masih dilakukan dengan cara manual, yang memungkinkan terjadinya kesalahan dalam pencatatan surat terlebih bila surat yang diarsipkan jumlahnya banyak. Dengan alasan tersebut, maka penelitian dilakukan untuk mengimplementasikan algoritma Sequential Search dalam proses pencarian arsip surat di P3ID ini. Metode yang digunakan dalam pengembangan sistem ialah metode Rapid Application Development (RAD), metode yang menekankan pada pengembangan sistem dengan jangka waktu yang singkat. Dari hasil implementasi pada sistem Administrasi berbasis Website ini, sistem berjalan dengan baik. Proses pencarian yang dilengkapi dengan algoritma Sequential Search ini juga dapat menampilkan hasil yang dicari berdasarkan kata kunci perihal. AbstractLecturer’s Scientific Publication Development Center is a Technical Implementation Unit established at the University of Semarang to manage the archive of letters related to journals. The management and archiving activities of journal letters in P3ID are still done by manual means, which allows for errors in the recording of letters especially when the letters archived in large numbers. For this reason, research was conducted to implement the Sequential Search algorithm in the process of searching for mail archives in this P3ID. The method used in system development is the Rapid Application Development (RAD) method, a method that emphasizes system development for a short period of time. From the implementation results on this Website-based Administration system, the system is running well. The search process equipped with sequential search algorithm can also display the results searched based on the subject keyword.]]>
<![CDATA[Peningkatan Kemampuan Guru-Guru Kelompok Kerja Madrasah (KKM) MA Ma’arif 03 Kabupaten Demak untuk Sertifikasi Microsoft Office Specialist Powerpoint ]]>
<![CDATA[Aria Hendrawan]]>;
<![CDATA[Agusta Praba Ristadi Pinem]]>;
<![CDATA[Soiful Hadi]]>
<![CDATA[ Jurnal Surya Masyarakat Vol 5, No 1 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Semarang ]]>
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DOI: 10.26714/jsm.5.1.2022.43-49
<![CDATA[Microsoft Office functions are very important to support various work related to offices and multimedia. In today's era, almost all office work requires Microsoft Office programs in its completion, not to mention in the world of education. Microsoft Office itself is a collection of software applications that are used to process, store, and combine data in the form of documents. One of the Microsoft Office Specialist (MOS) programs is PowerPoint, where the PowerPoint features really is supports the process of implementing education, especially for teachers who is teaching students. With the recognition of MOS, teachers will have the ability to take advantage of features, especially features in PowerPoint that can be implemented in the teaching and learning process. Awareness of MA Ma'arif's 03 KKM (Kelompok Kerja Madrasah) teachers in Kab. Demak for the development of information technology to be creative and innovative in creating interesting teaching media for students is the background for this service activities. This activities are carried out using the method of direct mentoring to partners through MOS PowerPoint training and exams. The results of the MOS PowerPoint training evaluation, 100% of participants passed the exam. the implementation of community service has succeeded in achieving the goals and targets that have been set, seen from the positive responses from participants whose all assistance is training and is relevant to needs.]]>
<![CDATA[Peningkatan Kemampuan Guru-Guru Kelompok Kerja Madrasah (KKM) MA Ma’arif 03 Kabupaten Demak untuk Sertifikasi Microsoft Office Specialist Powerpoint ]]>
<![CDATA[Aria Hendrawan]]>;
<![CDATA[Agusta Praba Ristadi Pinem]]>;
<![CDATA[Soiful Hadi]]>
<![CDATA[ Jurnal Surya Masyarakat Vol 5, No 1 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Semarang ]]>
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DOI: 10.26714/jsm.5.1.2022.43-49
<![CDATA[Microsoft Office functions are very important to support various work related to offices and multimedia. In today's era, almost all office work requires Microsoft Office programs in its completion, not to mention in the world of education. Microsoft Office itself is a collection of software applications that are used to process, store, and combine data in the form of documents. One of the Microsoft Office Specialist (MOS) programs is PowerPoint, where the PowerPoint features really is supports the process of implementing education, especially for teachers who is teaching students. With the recognition of MOS, teachers will have the ability to take advantage of features, especially features in PowerPoint that can be implemented in the teaching and learning process. Awareness of MA Ma'arif's 03 KKM (Kelompok Kerja Madrasah) teachers in Kab. Demak for the development of information technology to be creative and innovative in creating interesting teaching media for students is the background for this service activities. This activities are carried out using the method of direct mentoring to partners through MOS PowerPoint training and exams. The results of the MOS PowerPoint training evaluation, 100% of participants passed the exam. the implementation of community service has succeeded in achieving the goals and targets that have been set, seen from the positive responses from participants whose all assistance is training and is relevant to needs.]]>
