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ANALISA PERENCANAAN ENERGI TERBARUKAN SISTEM ATAP SURYA Karseno April; Masbah R.T Siregar
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 31 No 1 (2021): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.009 KB) | DOI: 10.37277/stch.v31i1.1011

Abstract

Planning for renewable energy for solar roof systems on house types 36,50 and 70 with the on-grid rooftop solar system design. Solar roofs are more aesthetically appealing and sleeker, the appearance of the roof is amazing which has a choice between textured tiles that blend into the building and can provide many advantages. Using the theory of calculating the area of the roof in the form of a prism, it can be seen the optimization of the area of the solar roof. The calculation results obtained, the larger the type of house and the length of the potential solar roof and the width of the potential solar roof, the more extensive the optimization of the solar roof area, the larger the type of house and the number of solar roof tiles required, the heavier the dimensions of the weight of the solar roof, the electric power. generated by the solar roof has the potential to save electricity to PLN, the economic investment of the solar roof that needs to be prepared with the calculation results for type 36 houses valued at Rp.194,504,000, type 50 Rp. 268,321,000 and type 70 Rp. 335,296,000.
Penerapan Metode Kalman Filter Slow-Fast Differential Untuk Meningkatkan Kerapatan Dan Nilai Curah Hujan Dengan Menggunakan Signal To Noise Ratio Pada Hub VSat Toto Andrianto; Agus Sofwan; Kun Wardhana; Masbah R.T Siregar
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 34 No 1 (2024): Sainstech: Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v34i1.1918

Abstract

Abstract Rainfall measurement must be carried out, because rain is an essential phenomenon for human living. Generally, rainfall is measured using ground measurement (rain gauge), weather radar, and weather satellite. In this study, we exploit the potential of estimating rain fall by down SNR Ku-Band (14 GHz) wave on VSAT Hub using slow-fast differential kalman filter. This method using two kalman filters, ST (Slow Tracker) and FT (Fast Tracker). ST is slower, not more reactive than FT. Combination of those filters can detect and estimate rainfall. Rainfall estimation obtained from down SNR will be compared with rainfall measurement from ground measurement of rain gauge. Hub and rain gauge are close together and located in Kemayoran, Jakarta Pusat. This Area is still in coverage area of rain gauge between 250 m2 and 3000 m2. This research was successful in detecting ongoing rain. The rainfall estimation results obtained had a correlation coefficient of 0.9648 and a root mean square error of 4.418 Key words: Rain fall, Ku-band, signal to noise ratio, slow-fast differential kalman filter