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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Management and Sustainable Development Journal MEDIA BISNIS Jurnal Pengabdian Masyarakat Unama
Beny
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer

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EVALUASI WEBSITE E-TICKETING DENGAN MENGGUNAKAN METODE USABILITY TESTING DAN WAMMI BENY; M. RIZA; DAVID
Jurnal PROCESSOR Vol 13 No 2 (2018): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

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Abstract

Website merupakan salah satu komponen penting yang dapat digunakan untuk menunjang aktifitas pemasaran produk maupun layanan dari sebuah organisasi atau perusahaan. Namun, dalam pengembangan sebuah website banyak sekali aspek yang perlu diperhatikan, salah satunya adalah aspek usability. Adapun tujuan dari penelitian ini adalah untuk mengevaluasi usability dari website e-ticketing, yang diantaranya adalah website traveloka.com dan website tiket.com. Penelitian ini menggunakan metode usability testing yaitu task scenario dan WAMMI untuk mengevaluasi kedua website tersebut. Adapun tahapan dalam penelitian ini yaitu studi literatur, melakukan pengujian, pengumpulan data, mengevaluasi hasil pengujian, dan pembuatan laporan. Hasil dari penelitian ini menunjukkan bahwa berdasarkan pada kuesioner WAMMI, website traveloka.com memiliki tingkat usability yang lebih baik daripada website tiket.com.
Identifikasi Karakteristik Riset Interaksi Manusia dan Komputer di Indonesia: Alur, Metodologi, dan Arahnya di Masa Mendatang Beny; Herti
Jurnal PROCESSOR Vol 15 No 1 (2020): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2020.15.1.815

Abstract

Human and Computer Interaction is a multi-disciplinary field of study that focuses on designing computer technology that specifically looks at aspects of interaction between humans and computers. This research is a systematic literature review with the aim of investigating topics raised by Indonesian researchers in the field of Human-Computer Interaction and grouping research articles published based on HCI-Macro and HCI-Micro. This is done so that it is possible to know the impact on the outcomes of the research that has been done. Based on the grouping results obtained, as many as 95% of research articles fall into the HCI-Micro category. From these findings we propose ideas to next researchers to choose research topics in the field of Human and Computer Interaction that are able to have a greater impact in the HCI-Macro category.
Deteksi Bahasa Isyarat Bisindo Menggunakan Metode Machine Learning Agus Nugroho; Setiawan, Roby; Harris, Abdul; Beny
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.1380

Abstract

This study aims to develop a machine learning-based application capable of detecting hand gestures and patterns in Indonesian Sign Language (BISINDO). Sign language plays a crucial role in non-verbal communication, particularly for individuals with speech impairments like the deaf. However, the challenge of comprehending sign language often inhibits interactions between the deaf and others. In an effort to address this barrier, the research leverages machine learning techniques with a focus on the Convolutional Neural Network (CNN) method, utilizing a dataset annotated with hand gesture landmarks. Landmark information providing detailed positions and shapes of key points on the hand, the CNN model can learn specific features essential for classification. The resulting application aims to bridge communication between the deaf and other individuals who may not understand sign language. By harnessing this technology, a significant improvement in the accuracy of hand gesture classification in sign language is anticipated, thereby strengthening the communication and interaction capabilities of the deaf within their environment.
Co-Authors Abdul Harris Abdul Rahim agus Nugroho Agus Siswanto Alip Hanoky david Herti Herti Yani, Herti KHARISMAR, EMIR M. RIZA Novita, Wanda Paramitha, Cindy Pareza Alam Jusia, Pareza Alam Pebrianto, Feri Putri, Azzahra Whidniessa ROBY SETIAWAN Wahyudi, Agustinus Sri