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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Cancer EMITTER International Journal of Engineering Technology Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Technomedia Journal KACANEGARA Jurnal Pengabdian pada Masyarakat INTEK: Jurnal Penelitian Jurnal Mantik Matriks Teknik Sipil Jurnal Sistem Informasi dan Bisnis Cerdas Logistic and Operation Management Research The Indonesian Journal of Computer Science
Achmad Basuki
Teknologi Informasi, Politeknik Elektronika Negeri Surabaya (PENS) – ITS Jl. Raya ITS, Keputih-Sukolilo, Surabaya, 60111. Telp. +62-31-5947280
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences

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Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction Perdanasari, Lukie; Sigit, Riyanto; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.827 KB) | DOI: 10.24003/emitter.v6i2.289

Abstract

It is important that a company uses the right means to recruit employees with certain personal characteristics as needed. Nowadays, the techniques to respond to psychological tests on people’s characteristics have been widely understood by most job applicants, so that it is difficult to know their true personality. Graphology is a way to identify a person’s characteristics by analyzing the handwriting from the document text made by the applicant. The two types of text document of each applicant are obtained from people of different ages and different writing times. The methods of graphology used in this research for identifying the handwriting are preprocessing and feature extraction. The preprocessing method uses projection integrals, shear transformations, and template matching. While the feature extraction process applies 10 features, they are, margins, line spacing, space between words, size of writing, style, zone, direction of writing, slope of writing, width of writing and shape of the letter. The result of the experiment from five writers shows the accuracy of writing identification equals to 82%, while personality identification equals to 67,4%.
Content-Dependent Image Search System for Aggregation of Color, Shape and Texture Features Kurniasari, Arvita Agus; Barakbah, Ali Ridho; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.8 KB) | DOI: 10.24003/emitter.v7i1.361

Abstract

The existing image search system often faces difficulty to find a appropriate retrieved image corresponding to an image query. The difficulty is commonly caused by that the users’ intention for searching image is different with dominant information of the image collected from feature extraction. In this paper we present a new approach for content-dependent image search system. The system utilizes information of color distribution inside an image and detects a cloud of clustered colors as something - supposed as an object. We applies segmentation of image as content-dependent process before feature extraction in order to identify is there any object or not inside an image. The system extracts 3 features, which are color, shape, and texture features and aggregates these features for similarity measurement between an image query and image database. HSV histogram color is used to extract color feature of image. While the shape feature extraction used Connected Component Labeling (CCL) which is calculated the area value, equivalent diameter, extent, convex hull, solidity, eccentricity, and perimeter of each object. The texture feature extraction used Leung Malik (LM)’s approach with 15 kernels.  For applicability of our proposed system, we applied the system with benchmark 1000 image SIMPLIcity dataset consisting of 10 categories namely Africans, beaches, buildings historians, buses, dinosaurs, elephants, roses, horses, mountains, and food. The experimental results performed 62% accuracy rate to detect objects by color feature, 71% by texture feature, 60% by shape feature, 72% by combined color-texture feature, 67% by combined color-shape feature, 72 % combined texture-shape features and 73% combined all features.
Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images Prabiantissa, Citra Nurina; Basuki, Achmad; Sesulihatien, Wahjoe Tjatur
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.692 KB) | DOI: 10.24003/emitter.v7i1.383

Abstract

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images.  This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.
Fire Image Set for Evoking Panic sabilirrasyad, Iqbal; Basuki, Achmad; Harsono, Tri
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.504

Abstract

Fire is the closest disaster to us, a person who put cigarettes around flammable objects could burn one to dozens of houses. The last thing that happens was a mass panic. In this kind of situation, panic is one of the keys to determine how much probability someone will survive. However, detecting someone's panic during a fire is impossible. This leads some scientists to assume that mass panic was never happening and some studies use simple functions to determine someone when panic. Currently, thanks to technological advances we can easily build virtual worlds that resemble real events. To build a virtual world that could evoke panic we still need the right stimulus. In this paper, we will discuss with terms of fire disaster stimulus that possible to impel someone to feel panic. While some stimulus datasets that already exist have more broad categories, we wanted to focus on a specific problem. The determined parameters are considered through several elements that could cause a person to panic, either before or during a fire. By using the Self-Assessment Manikin system to obtain valance and arousal matrix, we conduct a test to see how much influence the fire categories stimulus provided.
Developing Shooter Game Interaction using Eye Movement Glasses Iskandar, Abdullah; Basuki, Achmad; Nurindiyani, Artiarini Kusuma; Putra, Faris Rasyadi; Safrodin, Mohamad
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.509

Abstract

A quadriplegic is a paralysis that affects limitations in some physical movements and psychological disorders. They have limited media to interact with computers so a suitable solution is needed in the form of a media that can recognize other body parts movements which in this research uses eye movement. one of the solutions to this problem is to propose alternative technologies to interact and play games. We propose a simple technique by using a camera mounted on the glasses that will take the eye area. This technique will help reduce unnecessary parts of eye detection so that performance increases. The eyes will be processed using basic image processing and then determined the center position of the pupil using the Mean method. This system consists of pupil movements for pointer motion control and blinking of eyes for shooting. The performance test of this method toward the system, which has used 10 people with 7 experiments, shows an accuracy of 84.86 percent, the speed of movement with a duration of 2.22 seconds and the speed of response blinking with a duration of 0.026 seconds. In addition, we can distinguish between intentional blink and unintentional blink in which intentional blink has a duration of 0.30 seconds and unintentional 0.12 seconds. It can be concluded that by using this method and this technique is able to achieve good accuracy and also able to use intentional blink as shoot trigger.
Co-Authors A.A. Ketut Agung Cahyawan W Abdurahman, Javil Egi Pratama Adhitya Bhawiyuga, Adhitya Adinata, Saif Daffa Aditya, Sri Praba Agung Setia Budi, Agung Setia 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 Baehaqi Bagus Adi Pamungkas Bakhtiar, Fariz Andri Bambang Suhendro Bima Sena Bayu Dewantara Budi Utomo Citra Nurina Prabiantissa Dadet Pramadihanto Darwis, Zulmahdi 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 Errol U. Hutagalung Fachrurrozie Haris, Muhammad Ahlan 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 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 Mindrasari, Pricillia Muhammad Adha Ilhami 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 Onny Setyawati Pamenang, Muhammad Unggul 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 S A Kristiawan Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar, Sabriansyah Safrodin, Mohamad Salfikar, Inzar Sasongko, Harjun Adhitya Sa’dyah, Halimatus Sesulihatien, Wahjoe Tjatur Sesulihatien, Wahjoe Tjatur Setiono Setiono Setiya Budi, Agus Setyowati Setyowati Setyowati, Aulia Dwi 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 Wicaksono, Adi Purwoko Wicaksono, Andri Permana Wicaksono, Andri Permana Widhi Yahya Widi Sarinastiti