Modelling Demand for Energy Sources as Alternative Energy in the Province of North Sumatra

Energy is needed to support daily human activities. Energy usage for the necessities of life is always increasing every year. So far, the energy used comes from fossils, namely coal and oil. Every year fossil energy reserves are decreasing. To overcome these problems, a potential alternative energy source that can replace fossil energy is needed, namely renewable energy. Potential of renewable energy is one of the alternative sources of energy supply and security in the Province of North Sumatra. To ensure the resilience of renewable energy to run sustainably. It is necessary to analyze the potential of renewable energy in North Sumatra by using the Long-range Energy Alternatives Planning System. The results obtained show that North Sumatra has a great potential of energy sources as alternative energy, namely hydro energy and wind energy. It is forecasted that for the year 2027, hydro energy has a potential growth of 3,7 million megawatt-hours and wind energy has a potential growth of 2,2 million megawatt-hours

Analisis Perkiraan Konsumsi Energi Listrik Di Sumatera Utara Pada Tahun 2032 Menggunakan Metode Adaptive Neuro Fuzzy Inference System

Konsumsi energi listrik di Sumatera Utara semakin meningkat dari tahun ke tahun. Faktor yang menyebabkan meningkatnya konsumsi energi listrik di Sumatera Utara adalah Pertumbuhan Penduduk, Ekonomi, dan Industri. Untuk memenuhi akan kebutuhan konsumsi energi listrik yang semakin meningkat dari tahun ke tahun, maka dilakukan perkirakan konsumsi energi listrik jangka panjang selama 15 tahun yaitu pada tahun 2032 di Sumatera Utara. Untuk memperkirakan konsumsi energi listrik ini memerlukan sebuah metode yang dapat mendekati hasil aslinya. Metode tersebut yaitu Metode Adaptive Neuro Fuzzy Inference System. Hasil yang didapat dalam memperkirakan konsumsi energi listrik pada tahun 2032 di Sumatera Utara dengan menggunakan metode ini adalah sebesar 29307,78 GWh atau dengan kenaikan 7,71% setiap tahunnya sampai tahun 2032

Comparative Analysis of Earthing Resistance on Rod and Plate Electrodes for Improvement of Earthing Resistance Values

The availability of a grounding system must have the smallest grounding resistance value. To obtain a grounding resistance value with a certain value is influenced by several factors such as: the shape of the grounding system, soil type, soil temperature, soil moisture, electrode diameter, soil electrolyte content and others. the ground surface, and in the form of plates or plates, all of which are designed to reduce grounding resistance. From the results of measurements and calculations, the value of grounding resistance is obtained from the measurement results above, indicating the depth of the grounding electrode is 1.5 m deep, at this depth the value of grounding resistance is 0.98 Ω. The rod electrode, while the plate electrode is 1.6 Ω. and the calculation of the ground resistance using Dwight's formula, the average value of the rod electrode is 0.9 Ω and the plate, the average value is 0.5 Ω. There is a difference between the results of calculations and measurements this is due to differences in the perception of the type of electrode used. It is < 1 Ω meets the requirements of PUIL, 2000, for wet and moist soil types

Implementation of ANFIS in Forecasting the Development of Renewable Energy in Indonesia in 2030

An important energy fuel for power generation is utilizing petroleum products such as oil and coal. The use of basic fuels is increasing every year and the main fuel reserves are getting depleted/decreasing. In driving a generator, alternative energy is needed whose sources will not run out and can reduce the use of petroleum derivatives. This source is new and renewable energy. To ensure the development of new and renewable energy, it is important to forecast the development of new and renewable energy in Indonesia in 2030 using ANFIS. The results obtained in predicting the development of new and renewable energy in Indonesia in 2030 are 3,369.79 MW

PENGARUH HARGA TRAYEK DAN FASILITAS TERHADAP KEPUASAN PELANGGAN PENGGUNA BUS DAMRI TRAYEK SERANG – SUMUR DI KANTOR CABANG PERUM DAMRI SERANG

Penelitian ini bertujuan untuk mengetahui Seberapa besar pengaruh Harga Trayek terhadap Kepuasan Pelanggan Bus Damri Trayek Serang – Sumur di  Kantor Cabang Perum Damri Serang, Seberapa besar pengaruh Fasilitas terhadap Kepuasan Pelanggan Bus Damri Trayek Serang – Sumur di  Kantor Cabang Perum Damri Serang,  dan seberapa besar pengaruh Harga Trayek dan Fasilitas secara simultan terhadap Kepuasan pelanggan di Bus Damri Trayek Serang – Sumur di  Kantor Cabang Perum Damri Serang. Hasil penelitian menunjukkan bahwa 1) tidak terdapat pengaruh dari variabel Harga Trayek (X1) terhadap Kepuasan Pelanggan (Y). 2) terdapat pengaruh dari variabel Fasilitas (X2) terhadap Kepuasan pelanggan (Y). 3) terdapat pengaruh dari variabel Harga Trayek (X1) dan Fasilitas (X2) terhadap Kepuasan Pelanggan (Y). Variabel Harga Trayek (X1) terhadap Kepuasan Pelanggan (Y) pada 75 responden diperoleh hasil dalam kategori “Kuat”. Variabel Fasilitas (X2) terhadap Kepuasan Pelanggan (Y) pada 75 responden maka diperoleh hasil dalam kategori “Kuat”. Variabel Kepuasan Pelanggan (Y) pada 75 responden diperoleh hasil dalam kategori “Kuat”

SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth

PERANCANGAN PROTOTIPE DYE SENSITIZED SOLAR CELL DALAM PEMANFAATAN ENERGI RADIASI MATAHARI SEBAGAI RENEWABLE ENERGY

Energi radiasi matahari merupakan energi yang sedang giat dikembangkan saat ini. Indonesia merupakan negara yang sangat berpotensi untuk mengembangkan sel surya dikarenakan letak posisi Indonesia berada di wilayah garis khatulistiwa (tropis).  Sel surya merupakan alat yang mampu merubah energi sinar matahari menjadi energi listrik. Teknologi sel surya yang telah dikembangkan saat ini adalah Dye Sensitized Solar Cell. Sel surya ini menggunakan bahan kaca Indium Tin Oxide, bahan dye adalah titanium dioxide, bahan cairan elektrolit yaitu perasan air lemon yang bersifat asam sitrat. Pengukuran dye sensitized solar cell dilakukan selama 30 menit sekali. Pengukuran dye sensitized solar cell menghasilkan tegangan terendah sebesar 195,6 mV pada waktu 11.30 WIB dan tegangan tertinggi sebesar 540,5 mV pada waktu 14.00 WIB dengan kondisi suhu 33 oC

ANALISIS PERUBAHAN KECEPATAN MOTOR INDUKSI 3 PHASA DENGAN MENGGUNAKAN INVERTER 3G3MX2

Motor induksi adalah motor yang paling banyak digunakan oleh konsumen pengguna listrik baik untuk keperluan rumah tangga maupun industry, hal ini disebabkan konstruksinya yang sederhana serta lebih mudah dalam pemeliharaan dibandingkan motor DC, tetapi untuk mengatur putaran kecepatan dan torsi motor induksi bukanlah hal yang mudah untuk dilakukan, dengan perkembangan system control salah satu cara yang dapat digunakan adalah dengan menggunakan inverter, inverter adalah suatu rangkaian yang mengubah tegangan DC menjadi tegangan AC berupa sinyal sinusoidal setelah melalui pembentukan gelombang dan rangkaian filter, tegangan output yang dihasilkan harus stabil baik amplitude tegangan maupun frekuensi tegangan yang dihasilkan, Inverer 3G3MX2 dapat digunakan untuk mengatur kecepatan motor induksi tiga fasa sesuai dengan keadaan yang diinginkan.Berdasarkan hasil penelitian bila tegangan referensi input dinaikkan maka freuensi akan semakin tinggi sehingga  putaran  motor  induksi akan semakin cepat

Analysis of the Use of Particle Swarm Optimization on Naïve Bayes for Classification of Credit Bank Applications

The selection of prospective customers who apply for credit in the banking world is a very important thing to be considered by the marketing department in order to avoid non-performing loans. The website www.kaggle.com currently provides South German Credit data in the form of supervised learning data. The use of data mining techniques makes it possible to find hidden patterns contained in large data sets, one of which is using classification modeling. This study aims to compare the classification of South German Credit data using the Naïve Bayes algorithm and compare the classification of South German Credit data using the Naïve Bayes algorithm with particle swarm optimization (PSO). The test was carried out using a confusion matrix to determine the accuracy, precision and recall values of the research model. Based on the test, it is known that PSO is able to increase the accuracy and recall of Nave Bayes, but PSO has not been able to increase the precision value of Nave Bayes. The test results show that PSO optimization gives Naïve Bayes an increase in the value of accuracy by 0.46%, and gives Naïve Bayes an increase in recall value by 3.02%.