Judul: Immersive Analytics Module Prototype for Wireless Sensor Data Visualization of i-Surf Lab IPB University Using Unity 3D Engine
Abstrak: Sistem visualisasi data Laboratorium i-Surf yang ada pada saat ini pada dasarnya belum mengimplementasikan immersive analytics (IA) untuk membantu proses analisis. Pengembangan sistem visualisasi data yang akan dikembangkan bersifat immersive dan diharapkan dapat membantu proses analisis terhadap data dengan menggunakan virtual reality (VR) dan menjadi wadah untuk mahasiswa ataupun peneliti sebagai pengelola i-Surf dalam menganalisis data secara immersive. Pengembangan sistem ini berfokus pada pembuatan modul visualisasi data dengan menggunakan teknologi VR untuk dilakukan analisis secara immersive pada data sensor nirkabel i-Surf Lab. Pengembangan modul diharapkan dapat memunculkan grafik data secara real time. Pengembangan sistem akan dilakukan dengan menggunakan Unity3D Engine (UE). Hasil pengembangan modul IA untuk visualisasi data sudah berhasil dikembangkan dan mendapatkan penilaian yang baik pada tahap pengujian modul., Basically, the existing i-Surf Laboratory data visualization system has not implemented immersive analytics (IA) to assist in the analysis process. The development of the data visualization system that will be developed is immersive and is expected to help the data analysis process using virtual reality (VR) and become a forum for students or researchers as i-Surf managers in analyzing data immersive. The development of this system focuses on creating a data visualization module using VR technology for immersive analysis of the i-Surf Lab wireless sensor data. The development of the module is expected to be able to display data graphs in real-time. The system development will be carried out using the Unity3D Engine (UE). The results of the development of the IA module for data visualization have been successfully developed and have received good ratings at the module testing stage.
Keyword: immersive, immersive analytics, Unity3D Engine, virtual reality

Judul: An Interactive Visualisation Module for the Wireless Sensor Network of IPB’s I-Surf Smart Greenhouse
Abstrak: Rumah kaca pintar I-Surf IPB memiliki jaringan sensor nirkabel yang setiap sensornya merekam lahan produksi secara real-time. Untuk membantu para pengguna menambah wawasan terhadap kondisi lahan pada laboratorium, penelitian ini menggagaskan suatu bentuk prototipe visualisasi yang secara interaktif dapat menyajikan data tanaman yang direkam oleh sensor. Dengan menggunakan empat kali iterasi pengembangan model prototyping, modul yang dikembangkan dapat memvisualisasikan data-data hasil rekaman sensor terkini dan historis dalam bentuk grafik, serta diinformasikan jika data tersebut melampaui batas minimum atau maksimum. Selain itu modul dapat memaparkan lingkungan rumah kaca I-Surf IPB dengan dua gambar latar belakang berbeda (denah atau CCTV) serta sensor-sensornya diletakkan sesuai dengan gambar lingkungannya. Para ahli domain laboratorium I-Surf IPB mendukung adanya penggambaran lokasi sensor pada modul visualisasi tersebut, namun modul visualisasi masih perlu dilakukan refinement, analisis ketergunaan, serta integrasi dengan sistem monitoring sehingga dapat mencapai ekspektasi ahli domain., The smart greenhouse of I-Surf IPB implements a real-time wireless sensor network for recording the plant's condition. This research proposes a form of interactive visualization prototype to present the plant conditions recorded by the sensors. The system hopefully, can help the users to obtain insights from the recorded plant data. The system used four iterations of the prototyping model development. The developed module can visualize the current and historical data in the graph and inform the users if they exceed the minimum or maximum limits. Also, the module can present the I-Surf IPB greenhouse environment with two different background images (floor plan or CCTV). The sensors icon is representing the position of the real sensors in the greenhouse. The domain experts of the I-Surf IPB are in favour of how the module shows the sensor placements. However, the visualization module needs further refinement, usability analysis, and integration with the system to meet the domain experts' expectations.
Keyword: visualization, wireless sensor network, greenhouse

Judul: Insecticidal Activity of Essential Oils Leaves of Cinnamomum spp. (Lauraceae) against Crocidolomia pavonana and Their Phytotoxicity on Broccoli Seedlings
Abstrak: Essential oils from leaves of 13 species of Cinnamomum were tested for their insecticidal activity on the cabbage head caterpillar Crocidolomia pavonana with leaf immerse method. The results showed that the treatment with 1% (w/v) essential oils leaves of C. celebicum, C. multiflorum, C. sintoc, and C. verum caused 21.45, 93.65, 60.30, and 76.10% mortality, respectively. Based on the results of phytotoxicity and insecticidal activity tests, C. multiflorum oil was further tested at 6 concentration levels. In all treatments, larval mortality has occurred at 24 hours after treatment (HAT) and increased at 48 HAT. LC50 of C. multiflorum oil at 24 and 48 HAT was 0.504 and 0.396%, respectively. The treatment with C. multiflorum oil at ≤0.31% did not inhibit the development of C. pavonana larvae. Determination of the chemical constituents of Cinnamomum oils were carried out by gas chromatography-mass spectrometry (GCMS). Totally, 345 compounds were identified. Methyleugenol constituted the main component (49.4%) of leaf essential oil of C. multiflorum and was assumed to be responsible for the insecticidal activity of the oil against C. pavonana larvae. LC50 of pure methyleugenol obtained at 0.365% (48 HAT) and 0.363% (72 HAT). The results showed that C. multiflorum was more effective with LC50 value equivalent to methyleugenol content of 0.32% (24 HAT) and 0.24% (48 HAT).
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