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All Journal PRODUCTUM : Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) Jurnal Lingkungan Binaan Indonesia
Sundara, Gilar
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Arts Humanities Civil Engineering, Building, Construction & Architecture Environmental Science Social Sciences

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Desain Extendable Coffee Table dengan fitur Internet of Things (IoT) Kusumaningrum, Noni; Hutasoit, Nicolas; Prakoso, Galih; Sundara, Gilar
Productum: Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) Vol 7, No 2 (2024)
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/productum.v7i2.11291

Abstract

Coffee table is quite important furniture because it is located in the center of the family room, so the coffee table must appear functionally and aesthetically attractive. Currently, minimalist and multifunctional furniture is growing rapidly with the extendable trend. This research aims to design a coffee table that can be opened lengthwise (extend). The Internet of Things (IoT) feature was added to make it easier to use this coffee table and to follow modern furniture trends. On the other hand, the industrial challenge is an environmentally friendly industry, such as minimizing waste by utilizing leftover materials that can still be used. This research also utilizes industrial wood waste. The coffee table designed in this research can be opened to the side so that it has an additional function as a place to store items. The type of research used is Quantitative Research using the design thinking method as a research method as well as a design method starting with empathy and ending with a test. Both the empathize and test stages use questionnaires as a measuring tool.  The result is that the function and aesthetic value of the extendable coffee table is quite good in terms of size, scale, proportion, texture, pattern and color because it uses appropriate finishing materials. The application of IoT in the design of an extendable coffee table shows that this product can follow technological trends in furniture design in the future and make it easier for users to operate furniture in storage functions without having to use a lot of manual effort.
Analisis Suhu Interior dan Kenyamanan Termal Bangunan Pendidikan dengan Bukaan Fasade Reconfigurable-Kirigami Menggunakan Honeybee – Grasshopper Rahmah, Nadiya; Sundara, Gilar; Suhendri, Suhendri
Jurnal Lingkungan Binaan Indonesia Vol. 14 No. 2 (2025): JLBI
Publisher : Ikatan Peneliti Lingkungan Binaan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32315/jlbi.v14i2.468

Abstract

Perancangan yang berorientasi pada kenyamanan termal perlu dimodelkan dengan akurat oleh arsitek agar kualitas bangunan tercapai. Simulasi dan analisis kenyamanan termal dapat dilakukan secara cepat dengan Grasshopper dan Ladybug. Penelitian ini bertujuan untuk memperlihatkan korelasi langsung antara pemilihan jenis elemen shading pada fasad bangunan terhadap suhu udara interior yang disimulasikan dengan Ladybug. Jenis fasade yang disimulasikan adalah shading vertikal, shading horizontal, dan shading reconfigurable-kirigami dengan sudut 15, 30, dan 45 derajat (dengan rasio tutupan cahaya langsung berturut-turut 34%, 47%, dan 51%). Fasad kirigami sebagai bentuk fasad adaptif dapat menjawab kebutuhan penyesuaian termal terhadap waktu. Penggunaan elemen shading kirigami mengurangi suhu interior hingga 6.3 °C dari model tanpa elemen shading. Hasil simulasi memperlihatkan sudut bukaan elemen shading kirigami mempengaruhi batas atas dan batas bawah nilai illuminance, namun tidak terlalu banyak mempengaruhi perubahan suhu interior. Dengan sudut yang sama, kerapatan tertinggi menghasilkan nilai TCP yang lebih tinggi daripada kerapatan rendah dan sedang. Perbedaan kerapatan menghasilkan perubahan suhu hingga 0.7 °C. Informasi dari hasil simulasi dapat mendukung arsitek untuk memutuskan strategi pendinginan pasif yang diterapkan pada tahap pengembangan perancangan.
Co-Authors Galih Prakoso, Galih HUTASOIT, NICOLAS Kusumaningrum, Noni Rahmah, Nadiya Suhendri Suhendri