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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal INKOM Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal technoscientia Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization 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 IJID (International Journal on Informatics for Development) Indonesian Journal of Electrical Engineering and Computer Science JURNAL TEKNOLOGI TECHNOSCIENTIA
Utaminingrum, Fitri
Fakultas Ilmu Komputer, Universitas Brawijaya
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Journal of Information Technology and Computer Science

 1 
Personality Analysis through Handwriting Detection Using Android Based Mobile Device Waskitha Wijaya; Herman Tolle; Fitri Utaminingrum3
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.519 KB) | DOI: 10.25126/jitecs.20172237

Abstract

Graphology is one of the psychology disciplines which aims to study the personality traits of individuals through interpretation of handwriting. We can get information of one’s personality through graphology. In addition, by using android based mobile device, graphology analysis could show one’s personality faster. This study was conducted by taking 42 samples of handwriting from different backgrounds. The feature used in this study was handwriting margin. Besides, Support Vector Machine method was employed to classify the result feature from extraction process. The result of this study showed the accurate average of the application reached 82.738%.
The Connectivity Between Leap Motion And Android Smartphone For Augmented Reality (AR)-Based Gamelan Frihandhika Permana; Herman Tolle; Fitri Utaminingrum; Rizdania Dermawi
Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (797.838 KB) | DOI: 10.25126/jitecs.20183263

Abstract

The smartphone development today makes the gadget not only used as a communication tool but also as an entertainment tool such as to play games and play music. The development of the smartphone also supports many technologies that can be run on the smartphone itself, such as Augmented Reality (AR), for example. There are some studies evaluated the AR application combined with Leap Motion, but those studies were using the SDK alpha of the Leap Motion Corp. that is now no longer accessible for the developers to use. This research is meant to overcome such a problem. The method proposed in this study is a technique to connect the Leap Motion with Android for Augmented Reality application. This paper also evaluates the technique used to connect the AR technology to Leap Motion so it can be a visual instrument simulation, which applied to the Gamelan traditional music instrument. The experiments resulted in the accuracy rate of the application of 96.43% for right-hand movement and 97.86% for the left-hand motion. The high accuracy result obtained in the research can be a promising result for the future research.
Clustering of Human Hand on Depth Image using DBSCAN Method Ervin Yohannes; Fitri Utaminingrum; Timothy K. Shih
Journal of Information Technology and Computer Science Vol. 4 No. 2: September 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1131.492 KB) | DOI: 10.25126/jitecs.201942133

Abstract

In recent years, depth images are popular research in imageprocessing, especially in clustering field. The depth image can captureby depth cameras such as Kinect, Intel Real Sense, Leap Motion, and etc.Many objects and methods can be implemented in clustering field andissues. One of popular object is human hand since has many functionsand important parts of human body for daily routines. Besides, theclustering method has been developed for any goal and even combinewith another method. One of clustering method is Density-Based SpatialClustering of Applications with Noise (DBSCAN) which automaticclustering method consists of minimum points and epsilon. Define theepsilon in DBSCAN is important thing since the result depends on those.We want to look for the best epsilon for clustering human hand in thedepth images. We selected the epsilon from 5 until 100 for getting thebest clustering results. Moreover, those epsilons will be testing in threedistance to get accurate results.
K-Value Effect for Detecting Stairs Descent using Combination GLCM and KNN Ahmad Wali Satria Bahari Johan; Fitri Utaminingrum; Agung Setia Budi
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1299.817 KB) | DOI: 10.25126/jitecs.202051144

Abstract

This study aims to analyze the k-value on K nearest neighbor classification. k-value is the distance used to find the closest data to label the class from the testing data. Each k-value can produce a different class label against the same testing data. The variants of k-value that we use are k=3, k=5 and k=7 to find the best k-value. There are 2 classes that are used in this research. Both classes are stairs descent and floor classes. The gray level co-occurrence matrix method is used to extract features. The data we use comes from videos obtained from the camera on the smart wheelchair taken by the frame. Refer to the results of our tests, the best k-value is obtained when using k=7 and angle 0° with accuracy is 92.5%. The stairs descent detection system will be implemented in a smart wheelchair
Road Damaged Analysis (RODA) using Built-in Accelerometer Sensor in Smartphone Choirul Huda; Herman Tolle; Fitri Utaminingrum
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1507.423 KB) | DOI: 10.25126/jitecs.202052168

Abstract

Road damage produces serious problems for the driver such as travel efficiency, vehicle value, and even driver safety. In some cases, road damage causes accidents and ends in death. Currently, road damage detection research extends to grow and present various approaches such as the implementation of an accelerometer sensor. However, the implementations face lacks of accuracy since unable to work in real-time and poor implementation. In the end, the system inadequate to identify damaged roads effectively. Therefore, a comprehensive study was proposed. Firstly, data collection is conducted by applying a low-pass filter to obtain accurate data. The next step is estimating the range value of the accelerometer graph. In the final step, the classification is performed to identify road conditions into smooth, medium and poor. Based on some experiments that have been done, the proposed method accurately recognizes road conditions by 86.67%.
Co-Authors Abdan Idza Hurmuzi Abiyyu Herwanto Achmad Dinda Basofi Sudirman Achmad Jafar Al Kadafi Achmad Rizqi Ilham Shaleh Adinugroho, Sigit Aditia Reza Nugraha Afdy Clinton Afrizal Rivaldi Agung Setia Budi Agung Setia Budi Agung Setia Budi Agus Wahyu Widodo Ahmad Wali Satria Bahari Johan Ahmad Wildan Farras Mumtaz Ainandafiq Muhammad Alqadri Aisyah Awalina Akbar Dicky Purwanto Akbar Wira Bramantya Alfan Rafi'uddin Ardhani Alfianto Palebangan Aliffandi Purnama Putra Alrynto Alrynto Alvin Evaldo Darmawan Amalia Septi Mulyani Andika Bayhaki Al Rasyid Syah Andika Kalvin Simarmata Andrika Wahyu Wicaksono Anugrah Zeputra Arthur Ahmad Fauzi Asep Ranta Munajat Asfar Triyadi Audrey Athallah Asyam Fauzan Aufa Nizar Faiz Auliya Firdaus Bagas Nur Rahman Bagus Septian Aditya Wijayanto Barlian Henryranu Prasetio Beryl Labique Ahmadie Blessius Sheldo Putra Laksono Budi Atmoko Burhan, M.Shochibul Choirul Huda Constantius Leonardo Pratama Dahnial Syauqy Daris Muhammad Yafi Desy Marinda Oktavia Sitinjak Dewi Amalia Dimas Rizqi Firmansyah Dony Satrio Wibowo Duwi Purnama Sidik Dzakwan Daffa Ramdhana Edita Rosana Widasari Eko Setiawan Eko Setiawan Enny Trisnawati Ervin Yohannes Ervin Yohannes Ester Nadya Fiorentina Lumban Gaol Faris Chandra Febrianto Fatwa Ramdani, Fatwa Figo Ramadhan Hendri Fitra A. Bachtiar Fitra A. Bachtiar Fitra Abdurrachman Bachtiar Fitrahadi Surya Dharma Fitria Indriani Fitriyah, Hurriyatul Fitriyatul Qomariyah Frihandhika Permana Gabe Siringoringo Gagana Ghifary Ilham Gembong Edhi Setyawan Guruh Adi Purnomo Herman Tolle Herman Tolle Herman Tolle Hernanda Agung Saputra Hilman Syihan Ghifari Hilmy Bahy Hakim Huda Ahmad Hidayatullah Hurriyatul Fitriyah Ichlasuning Diah Amaliah Ichsan Ali Rachimi Ida Yusnilawati Ihwanudien Hasan Robbani Ikhsan Rahmad Ilham Imam Cholissodin Imam Faris Intan Fatmawati Irnayanti Dwi Kusuma Issa Arwani Joan Chandra Kustijono Juniman Arief Kelvin Himawan Eka Maulana Kezia Amelia Putri Kirana Sekar Ayu Krisna Pinasthika Lailil Muflikhah Laksono Trisnantoro Leina Alimi Zain Lilo Nofrizal Akbar Linda Silvya Putri Lita Nur Fitriani M. Ali Fauzi M. Fiqhi Hidayatulah M.Shochibul Burhan Marsha Nur Shafira Masyita Lionirahmada Meidiana Adinda Prasanty Mela Tri Audina Misran Misran Mochammad Bustanul Ilmi Mochammad Hannats Hanafi Ichsan Mohammad Andy Purwanto Mohammad Isya Alfian Mohammad Sezar Nusti Ilhami Muchlas Muchlas Muhamad Fauzan Alfiandi Muhammad Amin Nurdin Muhammad Arga Farrel Arkaan Muhammad Fadhel Haidar Muhammad Hafid Khoirul Muhammad Ibrahim Kumail Muhammad Nazrenda Ramadhan Muhammad Pandu Dwi Cahyo Muhammad Rafi Zaman Muhammad Raihan Wardana Budiarto Muhammad Rizky Rais Muhammad Sulthon Yazid Basthomi Muhammad Tri Buwana Zulfikar Ardi Muhammad Wafi Muzammilatul Jamiilah Nico Dian Nugraha Niko Aji Nugroho Noza Trisnasari Alqoria Nugraheny Wahyu Try Nyoman Kresna Aditya Wiraatmaja Olivia Rumiris Sitanggang Onky Soerya Nugroho Utomo Ovy Rochmawanti Paulus Ojak Parasian Putra Pandu Adikara Putra, Firnanda Al Islama Achyunda Qonita Luthfiyani Qurrotul A'yun Rachmad Jibril Al Kautsar Rahma Tiara Puteri Rahmatul Bijak Nur Kholis Rakhmadina Noviyanti Randy Cahya Wihandika Randy Cahya Wihandika Renaldi Primaswara Praetya Renita Leluxy Sofiana Rhaka Gemilang Sentosa Ringga Aulia Primahayu Riyandi Banovbi Putera Irsal Rizal Maulana Rizal Maulana, Rizal Rizdania Dermawi Rizka Husnun Zakiyyah Rizky Haris Risaldi Rizky Teguh Nursetyawan Samuel Andika Slamet Arifmawan Sri Mayena Syahrul Yoga Pradana Tiara Sri Mulati Tibyani Tibyani Timothy K. Shih Tobias Sion Julian Versa Christian Wijaya Virza Audy Ervanda Wahyu Adi Prijono Waskitha Wijaya waskitha wijaya Wayan Firdaus Mahmudy Wijaya Kurniawan William Hutamaputra Willy Andika Putra Wisik Dewa Maulana Yoke Kusuma Arbawa Yongki Pratama Yuita Arum Sari Yuita Arum Sari Yuita Arum Sari Zamaliq Zamaliq Zhuliand Rachman Zulfina Kharisma Frimananda