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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Idealog: Ide dan Dialog Desain Indonesia Serat Rupa: Journal of Design
Adhi Nugraha
Unknown Affiliation
Arts Humanities Computer Science & IT Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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IDENTIFICATION OF CONSEQUENTIAL PRODUCT SOUND IMPRESSION ON WOOD MECHANICAL TOY CAR PRODUCTS DESIGN POWERED BY RUBBER BRACELETS Samuel Aswin Moeljanto; Adhi Nugraha; Andar Bagus Sriwarno
Ide dan Dialog Desain Indonesia (Idealog) Vol 6 No 1 (2021): Jurnal Idealog Vol 6 No 1
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/idealog.v6i1.3431

Abstract

Product Sound design has been an integral part for many renown company in designing product, due to its big contribution in shaping the user's experience (Langeveld, van Egmond, Reinier; dan Özcan (2013)). According to what cause the sound, consequential product sound is the product sound that happens because of the product's internal mechanical interaction, and the charachters are dependent on the material, size, and mechanism. However, there are stillvery few people who develop and apply these principles for products made of natural material, such as wood. Whereas, by understanding the product sound produced by the wooden product, there could be a unique user experience, that in turn, will increase the product's economical value. That's why, we try to identifies the percieved product sound that may be produced on a rubber band powered mechanical toy car made of plywood as a pilot research in defining the product sound charachter of wooden toy made fromplywood. In the next research, some sound charachter concluded in this paper could be a reference and a starting point in determining the desired product sound outcu\ome. The sound identification was done on 4 test product with different mechanism, yet same basic looks. The identification include the physical sound charachter (difference in intensity, frequency, and waveform) and the perceived sound charachter (using semantic diferential). The unique perceived sound charachter found are then connected to the physical sound charachter as a general conclusion. Keywords: Product Sound Design; Wooden Mechanical Toys; Consequential Product Sound; Wooden Toys
PEMANFAATAN SAMPAH KERTAS SEBAGAI BAHAN BAKU PAPERBOARD UNTUK MEMPRODUKSI BENDA FUNGSI DAN ESTETIK Firman Hawari; Agus Sachari; Adhi Nugraha
Serat Rupa: Journal of Design Vol 4 No 1 (2020): SRJD-JANUARY
Publisher : Faculty of Humanities and Creative Industries, Maranatha Christian University (formerly Faculty of Fine Arts and Design)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/srjd.v4i1.1929

Abstract

The direction of the implementation of this study is to reduce dependence on natural resources and preserve them from extinction, especially timber natural resources. Green design content is a systematic implementation in each stage. An initial idea was to find an alternative building material that was environmentally friendly. One of the implementations is conducting experiments on panel production from paper waste materials. Paper panels that have the same capabilities as pre-existing panel products. The aim is to make it an interior design material for building, both for construction and aesthetic functions. The consideration of the selection of panel materials is the wide scope of utilization, flexibility, easy treatment, and factors of people who are used to it. In full, this type of paper waste contains forms that are fatty, limp and fragile. This character strongly supports the implementation of that perception. Furthermore, this character becomes a stimulus to bring up the manufacturing method, which is a vertical cross-configuration, which uses limp and fragile sheet paper and then arranged into a panel area with a thickness of 20 mm which requires hard, sturdy, and strong properties.
Analyzing Reddit Data: Hybrid Model for Depression Sentiment using FastText Embedding Amrul Faruq; Merinda Lestandy; Adhi Nugraha; Abdurrahim
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5641

Abstract

Depression, a prevalent mental condition worldwide, exerts a substantial influence on various aspects of human cognition, emotions, and behavior. The alarming increase in deaths attributable to depression in recent years demonstrates the imperative need to address this problem through prevention and treatment interventions. In the era of thriving social media platforms, which have a significant impact on society and psychological aspects, these platforms have become a means for people to express their emotions and experiences openly. Reddit stands out among these platforms as a significant place. The main aim of this study is to examine the feasibility of forecasting individuals' mental states by classifying Reddit articles on depression and non-depression. This work aims to employ deep learning algorithms and word embeddings to analyze the textual and semantic settings of narratives to detect symptoms of depression. The study effectively employed a BiLSTM-BiGRU model that applied FastText word embeddings. The BiLSTM-BiGRU model analyzes information bidirectionally, detecting correlations in sequential data. It is suitable for tasks dependent on input order or for addressing data uncertainties. The Reddit dataset, which contains text concerning depression, achieved an accuracy score of 97.03% and an F1 score of 97.02%.
Co-Authors Agus Sachari Amrul Faruq Andar Bagus Sriwarno Chatarina Umbul Wahyuni Firman Hawari Merinda Lestandy Samuel Aswin Moeljanto