Penelitian ini bertujuan untuk menghitung susut non teknis yang terjadi pada pelanggan potensial dengan Automatic Meter Reading (AMR) dan pengaruh / kerugian akibat susut non teknis terhadap pemakaian energi pada kantor Pemerintah Daerah Kota Gorontalo. Metode yang digunakan adalah studi kasus dengan melakukan monitoring, analisis dan evaluasi menggunakan aplikasi Automatic Meter Reading (AMR), serta melakukan pemeriksaan langsung di lapangan dengan melakukan pengukuran dan pengujian pada APP. Hasil penelitian menunjukkan bahwa pemakaian energi yang terukur hanya pada fasa S dan fasa T dengan jumlah sebesar 823.673 kWh. Sedangkan jumlah pemakaian energi yang tidak terukur yaitu fasa R sebesar 415.147 kWh. Hal ini menyebabkan kerugian kWh pada PT. PLN Persero UP3 Gorontalo. Penyebab tidak terukurnya phasa R diakibatkan karena Current Transformer (CT) pada phasa R mengalami kerusakan, sehingga mengalami penurunan pemakaian kWh dan jam nyala yang sangat signifikan. Penggunaan Aplikasi AMR ini memberikan kemudahan dalam mencari pemakaian energi yang tidak terukur, sehingga lebih cepat melakukan penormalan apabila terjadi kejanggalan pada kWh meter pelanggan.This study is aimed at calculating the non-technical losses that occur in potential customers through Automatic Meter Reading (AMR) and the effect/loss due to non-technical losses on energy consumption at the Gorontalo City Government Office. The method used is a case study by monitoring, analyzing, and evaluating the objects of study through the Automatic Meter Reading (AMR) application and conducting direct inspections in the field by measuring and testing the customer's Limiting and Measuring Tool (Bargainser). This study shows that the measured energy consumption is only in the S phase and T phase with a total of 823,673 kWh. While the amount of energy consumption that is not measured in the R phase is 415,147 kWh. It causes a loss of kWh at PT. PLN Persero UP3 Gorontalo. The cause of the unmeasured R phase is that the Current Transformer (CT) in the R phase has failed (damaged), resulting in a very significant decrease in kWh consumption and flame hours. The use of this AMR application makes it easy to find unmeasured energy consumption so that it is faster to normalize if there are irregularities in the customer's kWh meter.
Pengukuran intensitas cahaya pada gedung CMU dibagi dalam beberapa ruangan. Setelah mengetahui Hasil dari pengukuran maka langkah selanjutnya adalah perhitungan masing-masing ruangan untuk mendapatkan hasil evaluasi dari besarnya intensitas cahaya berdasarkan standar PERMENKESRI No 24 Tahun 2016 Tentang Persyaratan Teknis Bangunan dan Prasarana Rumah Sakit. Hasil pengumpulan data diolah dengan metode deskriptif. Data di analisis secara univariat dengan cara menganalisis data dalam tabel. Setelah memperoleh data yang dibutuhkan, maka dilakukan pengukuran intensitas cahaya secara langsung di masing-masing ruangan. Dari hasil pengukuran keseluruhan disetiap ruangan pada gedung CMU dapat dianalisa bahwa tingkat pencahaayaan atau lux rata-rata untuk semua ruangan masih dibawah standar yaitu 80% dari standar yang telah ditentukan. Sehingga dapat dikategorikan dibawah standar berdasarkan PUIL 2000. Hal ini dikarenakan pengaruh luas ruangan yang tidak sesuai dengan jumlah lampu yang terpasang, kondisi lampu yang sudah kusam/kotor sehingga cahaya yang keluar dari lampu tidak dapat keluar secara maksimal, armatur pada titik lampu kurang bersih sehingga cahaya yang keluar terhalang oleh debu, dan warna dinding sudah mulai pudar sehingga visualisasi cahaya tidak keluar secara maksimal.
Intermittent is electrical energy that is not available continuously due to uncontrollable external factors generated by a power plant which conditions vary in a reasonably short time scale. Intermittent can be limited or even mitigated by electricity storage, which is a rapidly growing area of research. In this research, the renewable energy used is the wind turbine. This study aims to schedule an economic generator by considering the intermittent wind turbine. Dynamic optimal power flow calculate Intermittent wind turbine uses ant colony method to determine the value of optimizing system operation with the integrated wind turbine. To determine the optimization value of the system operation, this study use a south sulawesi system consisting of 76 buses, 21 generators, and two wind power plant. From the results of the dynamic optimal power flow simulation, it is found that the generation costs are reduced from the real system costs using the ant colony method when the peak load time is 18.28% and the out peak load time is 18.08%, so that in only two times the ant colony optimization method, can reduce the cost of generation by Rp. 121,123,830.
Penelitian ini bertujuan untuk menghitung kWh yang hilang, jumlah rupiah tagihan susulan akibat Penerangan Jalan Umum (PJU) Illegal serta menyiapkan data data pada aplikasi Basecamp untuk mengetahui titik PJU dan mempermudah survei kembali untuk agenda tahunan. Hasil penelitian menunjukkan bahwa pemakaian energi yang tidak terukur pada PJU illegal atau PJU yang tidak termeterisasi adalah sebesar 42.712,5 kWh. Total kerugian energi tersebut apabila dikonversi kedalam bentuk rupiah adalah sebesar Rp.61.706.748,75. Penggunaan Aplikasi Basecamp dan aplikasi pada android MAPinr dapat memberikan kemudahan dalam mengetahui keberadaan PJU serta dapat memetakan susut non teknis untuk dilakukan evaluasi berikutnya.This study aims to calculate the lost kWh, the number of rupiah additional bills due to Illegal Public Street Lighting (PJU) and prepare datas on the Basecamp App to find out the PJU points and make it easier to return to the survey for the annual agenda. The results showed that the unmeasured energy consumption of illegal PJU or unmetered PJU was 42.712,5 kWh. The total energy loss when converted into rupiah is Rp. 61.706.748,75. The use of the Basecamp App and the application on the MAPinr android can provide convenience in knowing the existence of PJU and can map non-technical losses for subsequent evaluation.
The Polohungo Micro-hydro Power Plant (PLTMH) in Polohungo village, Tolangohula District, Gorontalo Regency has several components, namely intake, headrace, forebay, tailrace, penstock, turbines, mechanical equipment systems, mechanical transmission systems, and generators. The increase of demand for electrical power and the limited capacity of the generator was causing suboptimal plant operation. This study aims to evaluate the performance of the 40 kW PLTMH against the electrical load in Polohungo Village, Gorontalo Regency. The evaluation stage began with the calculation of the technical parameter data of the equipment, which was then compared with parameters obtained from measurement. The evaluation results show that the overall condition of the main components such as generators, turbines, and the generator control system was still working well even though there was no history of maintenance. There was a power difference of 12.212 kW or 55.03% between the real-world generated power and theoretically calculated power based on turbine design water flow. Therefore, PLTMH Polohungo was not operating optimally when handling small-scale power loads, where the amount of power generated by theoretical calculations is greater than the amount of power generated when the generator is operating with a water flow rate of 0.02865 m3/second.
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