Subandri, Muhammad Asep (2019) Studi Fungsionalitas dan Skalabilitas Perangkat Electronic Nose pada Jaringan Sensor Nirkabel. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Electronic nose (e-nose) adalah instrumen elektronik yang diciptakan untuk dapat mengenali bau dengan meniru prinsip kerja sistem penciuman manusia. Pada umumnya e-nose dirancang dan dibangun untuk aplikasi yang berdiri sendiri. Penerapan teknologi wireless sensor network (WSN) dan internet of things (IoT) pada sistem e-nose dapat membuatnya menjadi terskalakan dan membuatnya dapat diaplikasikan secara luas mulai dari skala rumahan hingga industri. Pada penelitian sebelumnya, dikembangkan sistem e-nose berbasis IoT, dimana dengan sistem tersebut sebuah jaringan yang terdiri dari beberapa perangkat e-nose dapat melakukan pengukuran secara terdistribusi. Pada penelitian tersebut digunakan arsitektur cloud sentris, seluruh data dikumpulkan, diproses, dan dianalisa di cloud. Dari studi literatur yang penulis temukan, sistem seperti ini menghasilkan latensi yang tinggi dengan skalabilitas yang rendah. Pada penelitian ini digunakan arsitektur fog. Dimana, sebagian data diproses terlebih dahulu sebelum dikirimkan ke cloud. Dari pengujian klasifikasi, sistem mampu memprediksi sampel dengan tingkat akurasi 78%. Sementara dari pengujian skalabilitas yang dilakukan, 300 sensor node mampu dihubungkan ke sistem secara bersamaan apabila menggunakan 8 menit data, dan mencapai 500 sensor node apabila menggunakan 6 menit data.
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Electronic nose (e-nose) is an electronic instrument created to be able to recognize odors by imitating the working principle of the human olfactory system. In general, e-nose is designed and built for stand-alone applications. The implementation of wireless sensor network (WSN) technology and internet of things (IoT) on the e-nose system can make it scalable and make it applicable from home to industrial scale. In the previous studies, an IoT-based e-nose system was developed, where with this system, a network consisting of several e-nose devices can conduct distributed measurements. In their study, cloud centric architecture was used. All data is collected, processed, and analyzed in the cloud. From the literature study that we found, this system produces high latency with low scalability. In this study fog architecture was used. Where, some data is aggregated and processed before being sent to the cloud. From classification testing, the system is able to predict samples with an accuracy rate of 78%. While the scalability testing is carried out, 300 sensor nodes are able to be connected to the system simultaneously when using 8 minutes of data, and reach 500 sensor nodes when using 6 minutes of data.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | electronic nose, internet of things, fungsionalitas, skalabilitas, pengujian, wireless sensor network. |
| Subjects: | T Technology > T Technology (General) > T174 Technological forecasting T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Information and Communication Technology > Informatics > 55101-(S2) Master Thesis |
| Depositing User: | Muhammad Asep Subandri |
| Date Deposited: | 23 Jul 2026 08:02 |
| Last Modified: | 23 Jul 2026 08:02 |
| URI: | http://repository.its.ac.id/id/eprint/66842 |
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