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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Begawe Teknologi Informasi
Ario Yudo Husodo
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Pengenalan Pola Tulisan Tangan Aksara Bima menggunakan Ciri Tekstur dan KNN: Handwriting Recognition of Bima Script using Texture Features and KNN Fitri Bimantoro; Arik Aranta; Gibran Satya Nugraha; Ramaditia Dwiyansaputra; Ario Yudo Husodo
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 5 No 1 (2021): June 2021
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v5i1.387

Abstract

As the fact, that is Bima script did not familiar to bimanese, Bima script as a cultural heritage needs to be preserved. Pattern recognition has been used to recognize several of ancient script. Gray Level Co-occurence Matrix (GLCM) as features exctraction and K Nearest Neighbour (KNN) as a classifier show the good performance to recognize of an ancient script. so, in this research we use GLCM and KNN to recognize Bima script. we use 2640 images of handwritting bima Script that is collected from 10 volunter. Each volunter write 22 of Bima script twelve times each script. The experimental result show that the performance of our model is good enough, with 60.86% of accuracy that is obtained by manhattan distances.
Sistem Infromasi Company Profile Balai Teknologi Informasi dan Data Pendidikan Provinsi Nusa Tenggara Barat Berbasis Website Jihad As' Syahid; Ario Yudo Husodo; Haerudin
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 4 No. 1 (2023): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v4i1.842

Abstract

Sistem informasi company profile pada Balai Teknologi Informasi dan Data Pendidikan (BTIDP) Provinsi Nusa Tenggara Barat merupakan sistem informasi yang saat ini digunakan sebagai media pengelolaan dan penyebaran informasi berkaitan dengan BTIDP Provinsi NTB. Akan tetapi sistem informasi yang digunakan saat ini masih memiliki tampilan yang kurang menarik. Pada penelitian ini penulis memberikan solusi dari permasalahan tersebut dengan pengembangan sistem informasi company profile BTIDP Provinsi NTB berbasis website. Pengembangan sistem informasi company profile BTIDP Provinsi NTB ini menggunakan framework Laravel yang menyediakan kesederhanaan dan fleksibelitas pada desainnya. Metode penelitian yang digunakan adalah Extreme Programming (EP), metode ini dipilih dikarenakan dilakukan dengan mencoba menyederhanakan berbagai tahapan dalam proses pengembangan, sehingga menjadi lebih adaptif dan fleksibel. Proses pengujian dilakukan dengan memberikan kuesioner kepada masyarakat umum secara acak sebagai responden. Berdasarkan hasil kuesioner, responden memberikan jawaban bahwa tampilan sistem informasi company profile BTIDP Provinsi NTB setelah dilakukannya pengembangan memiliki tampilan yang lebih menarik daripada sebelumnya.
Perancangan Sistem Informasi Company Profile Klinik Assyfa Al-Halim Lombok Barat Menggunakan Wordpress Indradi Rahmatullah Rahmatullah; Supardi; Ario Yudo Husodo
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 4 No. 1 (2023): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v4i1.898

Abstract

Kesehatan merupakan hal terpenting yang harus dijaga oleh individu dan masyarakat secara keseluruhan agar dapatmenjalankan aktivitasnya sehari-hari. Klinik Assifa Al Halim merupakan salah satu instansi pelayanan masyarakatdibidang kesehatan yang seiring waktu selalu berkembang dan diikuti dengan bertambahnya jumlah pasien, sehinggaperlu adanya inovasi untuk memanfaatkan era digitalisasi saat ini agar informasi dapat tersalurkan dengan mudah danmenjangkau masyarakat serta pasien. Tujuan dari pembuatan sistem informasi ini yaitu untuk merancang danmembangun sistem informasi company profile untuk Klinik Assyfa Al Halim menggunakan WordPress dan diikuti denganmenggunakan metode pengembangan Extreme Programming. Berdasarkan hasil pengujian menggunakan metode SystemUsability Scale terhadap karakteristik sistem yang dibuat, dapat disimpulkan bahwa sistem yang telah dibangun memilikihasil yang baik dan dapat dengan mudah dipahami oleh calon pengguna.
Pengembangan Perintah Gestur Tangan Menggunakan Leap Motion untuk Aplikasi Floorplanner Marcellino, Hendy; Ario Yudo Husodo; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 2 (2023): Desember 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i2.516

Abstract

Architecture is part of the art of life and works best when it seems to give expression to the life that inhabits it. As technology has developed a lot, the field of architecture has also experienced many developments supported by technology such as making architectural designs. The development experienced in making architectural designs is that it is no longer required to draw design choices with side views on a lot of paper but instead use a simulation application for making architectural designs that are displayed through a monitor layer in 3D so that they can see more realistically. After many innovations emerged regarding simulation applications which generally still use hardware such as a mouse, then these innovations shifted to connecting the simulation application with the virtual world where hardware such as a mouse has been replaced by using gestures or limb movements such as parts of the hand or other parts of the body. While other fields like medic already use virtual tool interaction, architecture fields still just use mouse and keyboard. One of the virtual interaction devices used to be able to detect fingers and palms to interact with 3D simulation applications is Leap Motion. Leap Motion is starting to be widely used to carry out various ways of interacting with hands because it is more interactive and interesting to use even many people think that it can be used for hand rehabilitation or therapy too. However, even though many innovations have developed, there is still no innovation in the use of a hand gesture command system using Leap Motion for simulation applications to design architectural designs in 3D views. Based on these things, the authors designed and developed hand gesture commands using Leap Motion for Architectural Design App. The hand gesture command system used for the Floorplanner simulation application will be tested using a system usability scale by users with architectural, informatics, and unfamiliar backgrounds. Based on the tests carried out, it can be seen that the system is running properly even though it requires getting used to the device first and getting a score from the System Usability Scale of 59,167 out of scale from 0 to 100 which means it is still accepted by users or declared as "Marginally Acceptable" category.
User Requirement Analysis dalam penerapan metode User Centered Design sebagai pendukung kebutuhan UI/UX dalam aplikasi NTB Mall Agitha, Nadiyasari; Ario Yudo Husodo; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 2 (2023): Desember 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i2.576

Abstract

User requirement analysis merupakan satu hal yang penting dilakukan dalam pembuatan sebuah user interface/user experience (UI/UX) menggunakan metode User Centered Design (UCD). Hal ini dikarenakan pada tahapan ini terdapat identifikasi dan dokumentasi kebutuhan pengguna. NTB mall adalah e-commerce pertama milik pemerintah daerah NTB dengan tujuan menjual produk unggulan daerah dari Usaha Mikro, Kecil Menengah (UMKM), Pedagang Kaki Lima (PKL) dan dibantu dengan pemantauan oleh Kelompok Sadar Wisata (Pokdarwis). Dalam pembuatan UI/UX NTBMall, diperlukan user requirement analysis yang kuat untuk mendapatkan penggunaan NTBMall yang sesuai dengan kebutuhan pengguna. User requirement analysis dibagi menjadi beberapa tahapan secara berurutan. Penggunaan user requirement analysis telah terbukti menghasilkan UI/UX yang menarik, dibuktikan dengan hasil pengujian SUS bernilai 72.82 yang mengartikan bahwa user telah puas dengan aplikasi NTBMall.
Classification of Local Fruit Types using Convolutional Neural Network Method (Study Case: Lombok Island) Moh. Azzam Al Husaini; Ario Yudo Husodo; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 8 No 2 (2024): Desember 2024
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i2.601

Abstract

Indonesia, with its natural beauty and abundant resources, has significant potential for producing food and horticultural crops, particularly on Lombok Island, West Nusa Tenggara. This region is crucial in supplying tropical fruits such as Mangosteen, Pisang Kepok, and Rambutan Lebak Bulus. However, the agricultural sector in NTB faces challenges in post-harvest handling, especially in classifying fruit ripeness, impacting distribution and supply sustainability. To address this, researchers developed a fruit classification model using digital image processing with the Convolutional Neural Network (CNN) method. This model serves as a preliminary step before creating a fruit maturity classification model. Evaluation results showed that the RGB format model achieved 95% accuracy, while the HSV format reached 97%. Comparing three models in HSV format revealed: the proposed model (0.97), MobileNetV2 (0.96), and ResNet50 (0.97). These results indicate that implementing this model could enhance post-harvest efficiency in NTB, ensuring better fruit supply management.
Comparative Analysis of YOLOv8 and HSV Methods for Traffic Density Measurement Prof. I Gede Pasek Suta Wijaya; Muhamad Nizam Azmi; Ario Yudo Husodo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 15 No 02 (2024): Vol. 15, No. 2 August 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i02.p06

Abstract

Traffic density measurement is a critical component in traffic management and urban planning. This study addresses the challenge of accurately measuring traffic density by comparing the performance of the YOLOv8 segmentation method with the traditional HSV method. At the beginning of the abstract, we clearly present the problem of accurately measuring traffic density. The primary objective is to highlight the strengths and limitations of each method in terms of accuracy and reliability in traffic density estimation. The choice of segmenting the asphalt area rather than vehicle objects is justified by the need to understand how different segmentation approaches affect traffic density measurements. The HSV method involves converting images to the HSV color space, creating masks for specific areas, and measuring traffic density based on the asphalt area. This method, while straightforward, may not accurately capture the dynamic nature of vehicle movement. In contrast, the YOLOv8 segmentation method utilizes a deep learning approach to detect and segment vehicles, providing potentially more precise measurements. Experimental results from three locations demonstrate varying levels of traffic density. The YOLOv8 method results in a graph with a wavy pattern, reflecting the more detailed detection of vehicles. Conversely, the HSV method produces a linear pattern, indicating a more consistent but potentially less detailed measurement. Quantitative analysis shows that Location 2 has a higher traffic density compared to Locations 1 and 3, as indicated by the average number of detected vehicles per frame. This study provides a comprehensive understanding of the differences between HSV and YOLOv8 segmentation methods for traffic density measurement. The findings suggest that while YOLOv8 offers more detailed and dynamic detection, the HSV method provides a simpler yet effective approach for certain applications.
Co-Authors Ade Ragil Purwandani Agitha, Nadiyasari Ahmad Zafrullah Arik Aranta Ariyan Zubaidi Budi Irmawati Budi Irmawati Deila Etha Pritia Fitri Bimantoro Fritzie Primananda Adi Praja Gibran Satya Nugraha Gibran Satya Nugraha Haerudin I Gede Pasek Suta Wijaya I Wayan Agus Arimbawa I Wayan Putu Sarwe Windusara Windusara Indradi Rahmatullah Rahmatullah Jihad As' Syahid Marcellino, Hendy Maria Arista Ulfa Moh. Ali Albar Moh. Azzam Al Husaini Muhamad Nizam Azmi Muhammad Ridwan Ali Muvianto, Cahyo Mustiko Okta Ni Ketut Dewi Febri Wantari Prof. I Gede Pasek Suta Wijaya Ramaditia Dwiyansaputra Reza Bijanta Supardi Syaifullah Syaifullah Wirararama Wedashwara