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All Journal Jurnal Sistem Informasi dan Ilmu Komputer
Alfin Noval Hadi
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Computer Science & IT

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Antarmuka Empatik: Studi Eksperimental pada Sistem Chatbot yang Responsif terhadap Mood Pengguna Rehandysta Sawahilla Tanjung; Alfin Noval Hadi; M. Daffa Irsyad Pasaribu; Diaz Alfaridzi; Fajar Akbar Ilhami; M. Khalil Gibran
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5153

Abstract

In the digital era that increasingly emphasizes human-computer interaction, the existence of an interface system that is not only functional but also able to understand the emotional state of the user is becoming increasingly important. This study aims to explore the effectiveness of empathetic interfaces in chatbot systems designed to respond adaptively to user moods. Empathetic chatbots are defined as artificial intelligence-based conversational agents that are able to recognize and adjust their verbal responses to user emotional expressions through linguistic analysis and non-verbal data such as response time and word choice. This study uses an experimental approach involving 60 participants from among students who interact with two types of chatbots: standard chatbots (non-empathetic) and empathetic chatbots. The analysis methods used include measuring the level of user satisfaction, empathy perception, and emotional comfort through a Likert scale questionnaire and quantitative data processing using a paired T-test.
Implementasi Deteksi Objek Otomatis Menggunakan Representasi Citra Digital dalam Lingkungan MATLAB: Studi Kasus pada Pengolahan Citra Berbasis Piksel Alfin Noval Hadi; M. Daffa Irsyad Pasaribu; Ahmad Boby Amari; Reihan Afandi; Arif Syafaruddin Gultom; M. Khalil Gibran
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5154

Abstract

Automatic object detection is one of the crucial aspects in the field of digital image processing that plays a vital role in various modern applications, ranging from security systems to pattern recognition in medical and industrial fields. This study aims to implement an automatic object detection method with a digital image representation-based approach using MATLAB software. The main focus is directed at the pixel-based image processing process, where each image element is processed to extract relevant visual information. In this study, stages are carried out starting from image acquisition, color conversion, image quality enhancement, threshold-based segmentation, to extraction of targeted object features. Digital images are analyzed through transformation into grayscale and binary forms to facilitate the detection process. The use of MATLAB provides flexibility in numerical and visual data processing, and supports various efficient image processing libraries.
Co-Authors Ahmad Boby Amari Arif Syafaruddin Gultom Diaz Alfaridzi Fajar Akbar Ilhami M. Daffa Irsyad Pasaribu M. Khalil Gibran Rehandysta Sawahilla Tanjung Reihan Afandi