Deteksi Lokasi Petir Dengan Metoda Magnetic Direction Finder

Lightning dischare can cause destruction to the struck object and  the other object that feel electromagnetic field interference cause lightning.  Lightning process associatedwith movement of charge so that can be observed by measurement magnetic field. Two loop magnetic antena (north/south loop  perpendicular to west/east loop) use to determinethe direction of lightning flash. The principleis comparinheg t output voltage from each sensor. Each station will give angle valuestowardlightning.  Lightning location will get from calculate intersection of three line lightning magnetic field with use Magnetic Direction Finding (MDF) method. From 275 lightning data with record we get 20 data that have same time. From 20 data we get 3 lightning data that produce pointlocation oflightning. Three angulation of lightning location  than optimized, the result is a point of lightning location and we get site error from the angle of calculation result. Avarage percentation for station 1, station 2 and station 3 is 2,88 %, 2,58 %, 1,16 %.Keyword : lightning detection, magnetic direction finding (MDF), lighning location, site error. AbstrakSambaran petir dapat menimbulkan kerusakan pada objek yang disambar maupun pada objek lain yang mengalami interferensi gelombang elektromagnetik. Proses petir berhubungan dengan pergerakan muatan, sehingga dapat diamati melalui pengukuran medan magnet. Dua loop antena medan magnet (loop utara/selatan tegak lurus terhadap loop timur/barat) dapat digunakan untuk menentukan arah lokasi petir. Setiap stasiun akan memberikan nilai sudut arah lokasi petir. Lokasi terjadinya petir dapat diperoleh dengan menghitung titik perpotongan jalur medan magnet petir dari 3 titik sensor, dengan menggunakan metode Magnetic Direction Finding (MDF). Dari 275 data petir yang terekam pada ketiga stasiun, diperoleh 20 data petir dengan waktu kejadian yang sama. Selanjutnya dari 20 data petir pada masing-masing stasiun dengan waktu kejadian yang sama tersebut diperoleh 3 data petir yang menghasilkan triangulasi lokasi petir. Triangulasi lokasi petir dioptimasi sehingga menghasilkan titik lokasi petir, maka diperoleh nilai persimpangan sudut (site error) dari sudut hasil perhitungan.Hasil perhitungan menunjukan stasiun 1 memiliki site error terbesar karena pengaruh topografi. Persentase site error rata – rata stasiun 1, stasiun 2 dan stasiun 3 adalah 2,88 %, 2,58 % dan 1,16 %.Kata kunci:deteksi petir,magnetic direction findings(MDF), lokasi petir,site erro

Rogowski coil sensor in the digitization process to detect partial discharge

This paper presents the construction of a Rogowski Coil sensor with an air core to detect partial discharge using a digital oscilloscope. Two types of sensors are used. The first is the primary sensor winding with back wire, and the second is without back wire, labeled BW and WBW, respectively. The numbers of primary-turn in the sensors are 5, 10, 20, and 40 turns. The performance of the sensors is tested using two types of tests. First, the wave response test with a fixed imitation partial discharge magnitude input is used to select the optimum sensitivity with the lower sampling rate, aims to select the peak or valley value as a magnitude partial discharge value. The second test is using an imitation partial discharge ramp to check the linearity of the sensors. The imitation of the partial discharge inputs is generated by a commercial charge calibrator. The wave response test results show an increase in the number of turns that corresponds to an increase of the sensor output for both sensors in a non-linear trend. In determining the sampling rate, the detection of magnitude in the valley is better than the peak. All sensors act linear toward the imitation partial discharge ramp either in BW or WBW conditions

Penerapan Lampu Penerangan Jalan Umum Otomatis Tenaga Matahari di Nagari Lagan Mudik Punggasan

Street lighting is needed to ensure road users' smooth running and safety. Lack of light will create a high risk of accidents and crime on the road. Many areas in Indonesia in general and West Sumatra in particular, mainly rural areas, still need street lighting due to the need for regional capacity to provide lighting on public roads. This activity implemented street lighting in Nagari Lagan Mudik Punggasan, Linggo Sari Baganti District, Pesisir Selatan District, West Sumatra Province. A total of five light units have been installed in four different locations. Installation of lights using a pole made of wood as high as 4 meters on the 20 KV distribution electricity post and the welcome board of the village. The lights work automatically and can be active when dark and off when bright. The lamp's working principle utilises solar panels, which produce electricity during the day. The source of electrical energy used by the light comes from a battery that a solar panel has charged. This system is expected to overcome the village's lack of street lighting and use clean, environmentally friendly energy sources

Deteksi Lokasi Petir dengan Metoda Magnetic Direction Finder

Lightning dischare can cause destruction to the struck object and the other object that feel electromagnetic field interference cause lightning. Lightning process associatedwith movement of charge so that can be observed by measurement magnetic field. Two loop magnetic antena (north/south loop perpendicular to west/east loop) use to determinethe direction of lightning flash. The principleis comparinheg t output voltage from each sensor. Each station will give angle valuestowardlightning. Lightning location will get from calculate intersection of three line lightning magnetic field with use Magnetic Direction Finding (MDF) method. From 275 lightning data with record we get 20 data that have same time. From 20 data we get 3 lightning data that produce pointlocation oflightning. Three angulation of lightning location than optimized, the result is a point of lightning location and we get site error from the angle of calculation result. Avarage percentation for station 1, station 2 and station 3 is 2,88 %, 2,58 %, 1,16 %