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Journal : Journal of Information Technology and Computer Science

The Development of Augmented Reality Educational Media Using Think-Pair-Share Learning Model For Studying Buginese Language Hasbi, Muhammad; Tolle, Herman; Supianto, Ahmad Afif
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 (1701.879 KB) | DOI: 10.25126/jitecs.202051150

Abstract

Language is a tool used for communication. Indonesia has a variety of languages, one of which is the Buginese language. As a language whose level of speakers exceeds five million, the popularity of this language begins to fade and is rarely used over the times. The Buginese language has its own letter called Lontara which consists of 23 letters. In addition to learning it difficult, educational media to learn this language, especially how to write letters is rarely developed. Learning this language is mandatory for formal school students ranging from elementary school to high school. However, a number of teachers noticed that Lontara writing lessons were very difficult for students to understand. Because of the difficulty level of writing, this research was conducted to answer and overcome these problems by developing an educational media called Lontara Augmented Reality. The research and development method (RnD) was utilized as the method in this study and it collaborates with ASSURE as the media development model. ASSURE model is used in the media design process. This media has an embedded learning model which called think-pair-share. The presence of this learninf model aims to enhance user skill in learning due to it provides learning with pair features. Educational media design has been validated by four media experts and four content materials validators. In the first iteration of validation, the average value of 3.90 was obtained with an average total score of 206.5 and a total percentage of around 78% (good category). After media being revised, an increase of 11% from the former iteration became 89% with 4.45 in average and total score of 235.75 (very good category). Furthermore, expert material content obtained an average value of 4.74 with a total average score of 99.5. with the percentage of the feasibility of the media reaching 95%. The percentage of usability testing results shows a great result with 96.91% in average and functionality tests around 100% which means that all of these functions this educational media application can work properly. in addition, performance testing and compatibility results show a normal activities. Memory and CPU usage are in normal conditions and not disturbing the applicaton performance. Lontara Augmented reality compatible in many android smartphones. Around 15 types of devices have been installed and it can run normally in these devices.
Augmented Reality Application to Efficiency the Process of Making Batik Motifs Using Vertex Marker Kusuma, Wahyu Teja; Tolle, Herman; Supianto, Ahmad Afif
Journal of Information Technology and Computer Science Vol. 4 No. 3: Desember 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.586 KB) | DOI: 10.25126/jitecs.201943154

Abstract

From the total time of making traditional Batik, the batik stage is the most time consuming because there are a lot of mistakes due to lack of carefulness when making batik motifs on cloth. To overcome the problem of making Batik motifs, this research utilizes the strengths and capabilities of Marker-Based Augmented Reality technology. The development of Marker-Based Augmented Reality applications is done by replacing digital objects with Batik motif images and markers attached to the fabric. Development of Marker-Based Augmented Reality applications using vertex markers to reproduce Batik motif objects in order to overcome the limitations of the reach of hands when making Batik motifs on fabric Finally, by using Marker-Based Augmented Reality applications batik makers do not need to draw Batik motifs in pencil on fabric because of Batik motifs directly displayed on the fabric surface by the application, so that it is expected to reduce the process time of making Batik motifs compared to making Batik motifs using traditional methods.
Road Damaged Analysis (RODA) using Built-in Accelerometer Sensor in Smartphone Huda, Choirul; Tolle, Herman; Utaminingrum, Fitri
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%.
From e-Commerce Overall Quality to e-Loyalty: A Purchase-centred Framework Nur Azizi, Fakri Fandy; Aknuranda, Ismiarta; Tolle, Herman
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 (1332.626 KB) | DOI: 10.25126/jitecs.202051169

Abstract

The e-commerce market becomes one of the markets with the most promising growth. A number of studies on e-commerce have been investigated, but only a little attention is paid to the factors that may create e-commerce customer loyalty, even though customer loyalty is one of the primary keys to improve the performance of e-commerce businesses. This research offers a conceptual model focused on purchases to investigate the factors that affect customer's loyalty and when it is formed. Specifically, this paper intends to examine the relationship between the e-commerce overall quality on the perceived usefulness, perceived value, satisfaction and trust. This paper also verifies the relationship between perceived usefulness, perceived value, satisfaction and trust in the e-loyalty. The method of online survey is used for the data collection. From 1457 of the distributed questionnaires, 960 were completed and returned, resulted 65.8 percent response rate. The data is then analyzed using the Structural Equation Modeling (SEM) method. The research findings contribute to filling the knowledge gap regarding the defining factors of customer loyalty which may help the e-commerce provider in developing e-loyalty to increase e-commerce profitability.
DBSCAN for Hand Tracking and Gesture Recognition Aditya, Wisnu; Tolle, Herman; Shih, Timothy K
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 (1275.783 KB) | DOI: 10.25126/jitecs.202052174

Abstract

Hand segmentation and tracking are important issues for hand-gesture recognition. Using depth data, it can speed up the segmentation process because we can delete unnecessary data like the background of the image easily. In this research, we modify DBSCAN clustering algorithm to make it faster and suitable for our system. This method is used in both hand tracking and hand gesture recognition. The results show that our method performs well in this system. The proposed method can outperform the original DBSCAN and the other clustering method in terms of computational time.
Go Story: Design and Evaluation Educational Mobile Learning Podcast using Human Centered Design Method and Gamification for History Biabdillah, Fajerin; Tolle, Herman; A. Bachtiar, Fitra
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.512 KB) | DOI: 10.25126/jitecs.202163345

Abstract

Technological developments, especially in the field of education, can help students learn more effectively and help the learning process. The learning method used in high school for history learning still uses conventional methods. The use of this conventional method often experiences problems such as students being less motivated in learning. One of the solutions proposed in this article is to design an android-based learning media that can support the activities of the learning process named go-story. Interface design for students as application users and (UI/UX) based on human centered design methodology and the concept of gamification. The human centered design approach and the concept of gamification will be used in the analysis and design process to maximize the usability and engagement of the application. The application will be implemented and tested on students to measure its effectiveness. The trials that have been carried out show the results of improvements
Application of YOLOv5 and EasyOCR for Odd-Even Detection and Recognition on License Plates Candra, Alvin; Utaminingrum, Fitri; Tolle, Herman
Journal of Information Technology and Computer Science Vol. 10 No. 2: August 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025102553

Abstract

The increase in the number of vehicles in Indonesia is directly correlated with the escalation in traffic congestion. In addition to congestion, an indirect repercussion of vehicle proliferation is the rise in traffic accidents. The government has undertaken various measures to alleviate traffic congestion, one of which is the implementation of the odd-even system. Automatic License Plate Recognition (ALPR) can be employed to facilitate the identification of odd-even plate numbers. In this study, ALPR employs machine learning methods (K-Nearest Neighbors and Support Vector Machine) as well as deep learning techniques (YOLOv5). EasyOCR is utilized for character recognition on the license plates. Based on the test results, YOLOv5 emerges as the optimal approach for license plate detection. EasyOCR demonstrates proficient character recognition for license plates at distances less than 2 meters.
Co-Authors Abu Hasan Baskara Achmad Noerkhaerin Putra Achmad Rizki Raharjo Achmad Yazi' Achmad, Maulana Derifato Adam Hendra Brata Adams Jonemaro, Eriq Muhammad Aditya Orba Ramadhan Admaja Dwi Herlambang Adya Farasadi Afani Kurniawan Afifur Rozaq Agi Putra Kharisma Agi Putra Kharisma, Agi Putra Agnes Kristianti Novilda Agus Wahyu Widodo Agusti, Ivan Maulana Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Fairuzabadi Ahmad Kamil Almasyhur Ahmad Leo Yudanto Ahmad Rizal Affandi Ainun Nisa Sofia Nur Rohma Faiza, Irsa Aknuranda, Ismiartha Al Huda, Fais Al Ridho, Mohammad Ghaza Aldo Rizky Saputra Alexander Krisna Giri Wicaksono Alfa Yolanda Putri Yulianti Alfathan, Azarya Aria Alfi Rochmah Primasari Alfian Eko Susilo Putro Alfiyah, Berlita Zaidatul Alvira Galihputri Setyowati Amalia Dwi Indra Ramadhani Amalia, Annisah Amin Fadilah Amir Saqib Azhardika Ananda Widya Pratama Anatasia Griselda Ferina Budiargo Anderson Manurung Andi Hafiidh Andi Moh. Raga Punggawa Andika Fatimah Az-Zahara Andriano Eucharistia Wibowo Angelin Anggraeni Misi ANISYAH ACHMAD Anita Putri Novitasari Annisah Amalia Aprilla, Arga Nanda Ardhan Maulana Zuhdi Ardian Triantoro Ardiansyah Dwi Cahyo Arga Nanda Aprilla Arief Daffa Abdullah Arif Eka Brilian Arifaldi Jayaputra Arifin Firdaus Armansyah Aryo Pinandito Aryun Nadaa Aniesiyah Asti Dhiya Anzaria Astriya Nugraha, Dwi Cahya Astriya, Dwi Cahya Asyora Dewi Prabandani Atifa Fiorenza Aulia Akhrian Syahidi Aulia Akhrian Syahidi Aulia Akhrian Syahidi Aulia Akhrian Syahidi Aulia Fitri Rahmawati Avicena, Herza AYU PRAMESTI, TSABITA MUTHIA Azzahra, Magfira Risya Bagas Noor Rachman Bariq, Azura Fairuz Barus, Abram Christya Bawono, Nova Aurora Bayu Priyambadha Benjamin Septa Pardamean Bere, Stevania Bethrandria, Isya Almanda Biabdillah, Fajerin Bianca Pingkan Nevista Buce Trias Hanggara Budi Iswanto Budi Setiawan Burhanuddin Ali Ahmadi Cahya Astriya Nugraha, Dwi Cahya Astriya, Dwi Cahyaning Mirandha, Amalyndha Candra, Alvin Cassia Vera Diphiperidine Charisma Ubaidah Cholilia Chika Apsari Dinda Choirul Huda Citra Mahardhika Dewi Murti Danar Hikmah Krismanto Dara Adhelia Rusanty Denny Sagita Rusdianto Desy Sulistyaningrum Devina Dwi Pratiwi Dewantara, Arya Putra Dewantoro, M. Daffa Rhesa Dhika Rozqi Anggitama Dhimas Ilmi Auvi Dhoni Indras Setyawan Diah Priharsari Diandra Amiruddin Firmansyah Dienabillah Gita Fitri Dimas Bhayu Primarizki Dinda Aditama Dita Oktaria Doni Putra Purbawa Dwi Aji Sentosa Dwi Cahya Astriya Nugraha Dwi Cahya Astriya Nugraha Dwi Juni Kartika Dzaky, Naufal Edo Yokko Rolando Edwin Nurwansyah Effendi, Mas'ud Eki Yusandhi Iskandar Eko Ardyanto Eko Arisetijono Erfina Latuconsina Erika Ramadhanty Eriq Muhammad Adams Jonemaro Extrant, Ismail Fabrianne, Hana Fadhlan, Rafi Ahmad Fadila, Vera Nur Fadillah, Muhammad Davin Fais Al Huda Fais Al Huda Faisal Risq Efendy Faiz Elyuan Permana Faizatul Amalia Fandika Rakhman Nanda Farha Rihhadatul Aisy Fariz Sokhinda Hamza Fatwa Ramdani, Fatwa Febryan Asa Perdana Ferdinan Oky Fahrerri Ferlie Deanada Effendi Ferry Abu Darrin Al Ghifari Firdaus, Syahida Usama Firman, Agil Winaldi Firmansyah, Muhammad Dhafin Fitra Abdurrachman Bachtiar Fitra Abdurracman Bachtiar Frihandhika Permana Gilang Nur A'idi Girsang, Kevin Judhistira Guidita Suryani Gusti Kul Fathiriansyah Hadriyan, Derby Haechal Abdillah Suhendar Hafis, Muhammad Hanas Subakti Hanggara, Buce Trias Hanifah Muslimah Az-Zahra Hanifah Muslimah Az-Zahra, Hanifah Muslimah Hanifah, Hana Syifa Hardiyanti, Putri Adinda Hermawan, Andrian Riza Hermin Sulistyarti Hirashima, Tsukasa Huda, Fais Al Hummam Aly Baziyad I Made Resza Surya Adinata I Putu Reditya Permana Putra Ibrahim Hafizhuddin Muttaqi Igar Ramaddhan Ignatius Daniel Y.T.A. 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Abu Hasan Mohammad Arda Dwi Ardianto Mu'tashim, Wildan Aulia Muchammad Rizal Muh Wildan Shalahuddin Muh. Asdar Muhamad Aziz Muslim Muhamad Syaukani Audady Muhamad, Andi Naufal Falah Muhammad Alfan Mubarrak Muhammad Aminul Akbar Muhammad Aswin Muhammad Aziz Muslim Muhammad Budi Fauzan Muhammad Erwin Amrullah Amrullah Muhammad Fadhel Aribowo Muhammad Habib Firdaus Chatib Muhammad Hafidz Novriantama Muhammad Hafidz Rahman Muhammad Hanif Hasanain MUHAMMAD HASBI Muhammad Murtadho Muhammad Reyhan Muhammad Ridho Kurniawan Pratama Muhammad Rikza Ramadhan Muhammad Rofiq Mukhlis Murtadho Nanang Yudi Setiawan Naufal Aji Dewananto Naufal Alif Aldhian Naufal Helmi Ramadhani Nerea López, Jonathan del Moral Nevista, Bianca Pingkan Nia Novita Wirawan, Nia Novita Niken Hendrakusma Wardani Nisa' Luhung Mahbubah Nugraha, Dwi Cahya Astriya Nugroho, Prakash Adi Nur Azizi, Fakri Fandy Nur Fajri Hayyuni Maulidya Nurhidayat, Muhammad Nurjannah Nurjannah Nurjannah Nurjannah Nurudin Santoso Onny Setyawati Pamungkas, Ryan Satrio Pandu Damar Priambodo Pasaribu, Septia Andriani Permana Sadewa, Arief Triatmaja Permana, Frihandhika Philip Faster Eka Adipraja Prabandani, Asyora Dewi Prabasatio, Muhammad Ario Fadhlih Pramudya Vizkal Arfianto Prasetyo aji, Pujo Priana, Aan Jelli priharsari, diah Primananda Kurnia Santoso Priyambadha, Bayu Puspitaloka, Paradhita Ayu Putra, Boyfannie Ivan Putri Stephanie Lesilolo R. Amalina Dewi Kumalasari R. P. Hero Wijaya Rachman, Ramadhani Rachmawan, Indra Nanda Raden Siti Nabila Putri Fasabuma Raka Ega Bhagaskara Raka Ega Bhagaskara Rakha Hasan Pramudito Ramadhan, Rizal Furqan Ramadhani, Naufal Helmi Randhiki Gusti Perdana, Randhiki Gusti Ratih Kartika Dewi Renaldy Sabdo Jati Purboningrat Renavitasari, Ivenulut Rizki Diaz Rendi Pradila Hab Sari Retno Indah Rokhmawati Retno Indah Rokhmawati, Retno Indah Reynald Hermanto Simanjuntak Ria Nevita Rully Prastianila Indriani Rida Nafianti Rieke Adriati W. 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