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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science Indonesian Research Journal on Education
Shalahudin, Mohammad Imam
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Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Klasifikasi Citra Jenis Tanaman Jamur Layak Konsumsi Menggunakan Algoritma Multiclass Support Vector Machine Chusna, Nuke L.; Shalahudin, Mohammad Imam; Riyanto, Umbar; Alexander, Allan Desi
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.267 KB) | DOI: 10.47065/bits.v4i1.1624

Abstract

Mushrooms are plants that have high nutritional content and have various benefits for the health of the human body. However, not everyone knows the types of mushrooms that are suitable for consumption. The types of mushrooms have their own characteristics when viewed from the image. For this reason, a system is needed by utilizing digital image processing to classify types of mushrooms suitable for consumption, so that people can find out which types of mushrooms are suitable for consumption. This research is to classify types of mushrooms suitable for consumption using the Multiclass SVM algorithm with first-order feature extraction, which performs feature extraction based on the characteristics of the image histogram. The result of feature extraction is used as input for classification in Multiclass SVM. Multiclass SVM can map data points to dimensionless space to obtain hyperplane linear separation between each class. The developed method is implemented in Matlab, in order to produce a system in the form of a GUI so that it can be used by general users easily. Based on the test results, the average accuracy is 83%.
Decision Support System for Selecting a Camera Stabilizer Using Rank Reciprocal and ARAS Approaches Erkamim, Moh.; Daniarti, Yeni; Shalahudin, Mohammad Imam; Mulyadi, Mulyadi; Soares, Teotino Gomes
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7560

Abstract

The selection of camera stabilizers is a crucial aspect in the photography and videography industry, especially with the increasing use of cameras. Typically, to select a camera stabilizer, decision-makers must be aware of all specifications of the available options. However, this necessarily results in a lengthy decision-making process, and various considerations lead to imprecise decisions. The aim of this research is to develop a Decision Support System (DSS) for choosing the appropriate and swift camera stabilizer through a combination of the Rank Reciprocal weighting approach and the Additive Ratio Assessment (ARAS) method. The Rank Reciprocal approach is utilized to obtain the criteria weight values, and the ARAS method is employed to evaluate and select the best alternative based on a number of criteria. This research produced a website-based DSS that can recommend the best alternative in the form of an alternative ranking. The results from the case study conducted obtained rankings from the highest to the lowest as follows: Zhiyun Tech Weebill S with a score of 0.9428, Beholder DS1 with a score of 0.8497, Gudsen Moza AirCross S with a score of 0.8205, and Feiyu Tech Scorp C (A3) with a score of 0.7197. The system built has been tested with a usability test scoring 88.75%, indicating that the system has met its users' needs.
Analisis dan Pengembangan Website Honda Triputra Sebagai Media Informasi dan Promosi Sulistianto, Hafizh Sogar; Arisantoso, Arisantoso; Shalahudin, Mohammad Imam; Rahmadian, Jefri
Indonesian Research Journal on Education Vol. 5 No. 2 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i2.2366

Abstract

Website Honda Triputra Bekasi merupakan sebuah website yang dapat membantu calon customer melalui situs web. Berdasarkan hasil observasi dan wawancara, customer masih kebingungan dalam menggunakan website Honda Triputra Bekasi serta terdapat beberapa hal yang masih belum memenuhi kebutuhan pengguna, sehingga perlu diperbaiki User Interface (UI) dan User Experience (UX) dari website tersebut karena UI/UX merupakan tampilan yang berinteraksi langsung dengan pengguna. Penelitian ini bertujuan untuk merancang ulang UI/UX pada website Honda Triputra Bekasi. Pengumpulan data dilakukan dengan observasi, studi pustaka, wawancara dan survei. Digunakan metode design thinking dalam perancangan antarmuka dan menggunakan tools Figma. Setelah dilakukan proses design thinking, dilakukan pengembangan prototype menjadi website. Pada evaluasi desain awal menggunakan metode System Usability Scale (SUS) website Honda Triputra bekasi mendapatkan skor 31,83 yang termasuk dalam rating poor. Setelah dilakukan perancangan prototipe dan dilakukan evaluasi menggunakan metode yang sama, didapatkan hasil kenaikan pada skor usability menjadi 73,83 yang termasuk dalam rating good yang menunjukkan bahwa prototipe telah cukup baik dan mempermudah pengguna dalam menggunakan website Honda Triputra bekasi.
Co-Authors Alexander, Allan D Arisantoso Arisantoso Chusna, Nuke L. Daniarti, Yeni Moh. Erkamim Mulyadi Mulyadi Rahmadian, Jefri Riyanto, Umbar Soares, Teotino Gomes Sulistianto, Hafizh Sogar