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All Journal Mechatronics, Electrical Power, and Vehicular Technology Simetris INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi RESEARCH : Computer, Information System & Technology Management Jurnal Nasional Pengelolaan Energi MigasZoom
Teguh Yuwono
Sekolah Tinggi Teknologi Ronggolawe Cepu
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Sistem Pendukung Keputusan Pemilihan Rumah di Kawasan Cepu Menggunakan Analytical Hierarchy Process Adhika Pramita Widyassari; Teguh Yuwono
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 1 (2019): Vol. 3 No. 1 Februari 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.858 KB) | DOI: 10.29407/intensif.v3i1.12442

Abstract

Strategies to buy a house, consumers often experience problems in determining the house to be purchased, because each house has different characteristics. These characteristics will be used as reference considerations in determining which house to buy. In this study, the AHP (Analytical Hierarchy Process) method was used to weight the criteria and test the level of consistency with the pairwise comparison matrix. If the matrix has been consistent, then it can be continued to rank to determine the chosen alternative by using input weighting criteria obtained from the AHP method. To overcome the above problems, it is necessary to build a decision support system by implementing a ranking that can make it easier to determine House Selection using the AHP (Analytical Hierarchy Process) method. Of the 9 sample houses in the Cepu area, the highest was the Housing of Zam Zam Cepu Type 38/78 with a total value of 2,84564719.
Sistem Kendali Dan Monitoring Beban-Beban Listrik Rumah Berbasis Processing Line Comunication ( PLC ) Teguh Yuwono
SIMETRIS Vol 9 No 1 (2015): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of electrical loads in the residence would be more effective and efficient if there is an automation control systems, and monitoring the set, resulting in electricity savings in all electrical and electronic equipment which affect the cost of electricity payment every month as well lifespan becomes longer. In this paper applied a method of design and manufacture of hardware systems (hadware) and software (software) by utilizing the Technology Power Line Communication (PLC). The design unit PLC based products. The design of the economic value of the product of the energy cost savings each month. Product Series P3oT PLC unit which serves as the control and monitoring of electrical loads PLC-based residential affecting the electricity cost savings of up to 37% every month. The value of benefits Benefit Cost Ratio (BCR) of 1.1 or (BCR> 1).
Perbandingan Analytical Hierarchy Process dan Fuzzy Mamdani untuk Sistem Pendukung Keputusan Pemilihan Rumah di Daerah Cepu Adhika Pramita Widyassari; Teguh Yuwono
RESEARCH : Journal of Computer, Information System & Technology Management Vol 1, No 2 (2018)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.66 KB) | DOI: 10.25273/research.v1i02.3360

Abstract

Rumah merupakan kebutuhan dasar dan penting bagi semua manusia. Menyadari itu semua, banyak developer menawarkan berbagai alternative rumah dari mulai harga, lokasi, desain, fasilitas, maupun luas tanah. Hal inilah yang menyebabkan konsumen harus pandai-pandai memilih perumahan mana yang akan mereka ambil yang sesuai dengan kriteria-kriteria yang diinginkan. Sistem pendukung keputusan dibangun untuk membantu orang dalam menentukan pilihan dalam kasus ini adalah membantu orang untuk memilih perumahan yang diinginkan dari berbagai pilihan perumahan yang ada berdasarkan ke lima aspek tersebut. Sistem dengan metode AHP ini juga menjanjikan proses penilaian yang lebih baik karena dapat memberikan bobot kepada berbagai aspek penilaian. Fuzzy Mamdani berperan sebagai pendukung keputusan karena dalam dunia nyata pembeli sering kesulitan untuk memilih rumah idamannya dengan beberapa kriteria yang sesuai dengan kebutuhannya Kesimpulan dari penelitian ini adalah 1) AHP dan Fuzzy Mamdani dapat dijadikan sebagai analisis dalam sistem pendukung keputusan  menentukan pilihan rumah. 2) Perbandingan AHP dengan Fuzzy Mamdani dengan kasus pemilihan rumah adalah 0,90298. 3) Tingkat akurasi AHP lebih baik dibandingkan dengan Fuzzy Mamdani pada kasus pemilihan rumah dengan MSE sebesar 0.048538.
KARAKTERISTIK DAYA PANEL SURYA POLYCRYSTALLINE 100 WP TERHADAP PERUBAHAN TEMPERATUR: KARAKTERISTIK DAYA PANEL SURYA POLYCRYSTALLINE 100 WP TERHADAP PERUBAHAN TEMPERATUR Teguh Yuwono Teguh
Jurnal Nasional Pengelolaan Energi MigasZoom Vol. 4 No. 2 (2022): Jurnal Nasional Pengelolaan Energi MigasZoom
Publisher : Pusat Pengembangan Sumber Daya Manusia Minyak dan Gas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37525/mz/2022-2/305

Abstract

Energy and Mineral Resources Ministry's 2018 Electricity Statistics data shows that the installed capacity of Solar Power Plants (PLTS) only reaches 0.09 percent of the national generating capacity. This means that if the national generating capacity in 2018 reaches 64.92 gigawatts (GW), then PLTS only has a share of around 58.43 megawatts (MW). This value is very small considering the potential for solar energy in Indonesia can reach 207 GW. The majority of power plants in Indonesia are still dominated by PLTU which reaches 42.34 percent or around 27.49 GW. In testing the characteristics of solar panels, the method used is to install prototype materials and equipment for 100 WP Polycristalline solar panels and collect data through direct measurements. The method of observation is to collect data related to temperature variations that are happening at certain times and conditions that can affect the size of the power. The equipment used for this measurement includes: a thermometer used to measure temperature, a Charge Controller Module (SCC) as a control for charging the battery as well as measuring the amount of DC electricity that is always displayed, a camera for documenting the measurement results, a battery as a store of electrical power and a dc wattmeter as a measurement tool. the amount of electricity from the solar penel as well as connecting cables and other auxiliary equipment. The results of this study include: the pattern of power characteristics on a Pollycrystalline 100 WP solar panel at a temperature of 25˚C to a temperature of 39˚C is directly proportional to temperature, with a minimum value of 2.7 Watt at a temperature of 25˚C until it reaches a maximum power of 28, 5 Watt when the temperature reaches 39 C, the SUNSIA brand of Pollycrystalline 100 WP solar panel can produce effective electrical energy when the temperature is above 34 C, from the power generated by the solar panel to charge a 12 V 32A battery with an initial voltage of 5.1 Volts until it reaches a voltage of 13.8 Volts takes 8 hours.
IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T Wibowo, Lastoni; Wahyusari, Retno; Yuwono, Teguh; Shofia, Aina
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.823

Abstract

Monitoring systems for On-Grid Photovoltaic Power Systems use IoT technology for real-time performance tracking via the Internet. Typically, these systems involve current and voltage sensors to measure Current, Voltage, Power, Energy, and Power Factor (Cos φ). However, many existing systems do not thoroughly address the accuracy of these measurements. To ensure reliability, a system must achieve measurement accuracy above 90%. This article presents an IoT-based On-Grid photovoltaic power monitoring system designed to measure electrical parameters with high accuracy. The system uses the PZEM004T sensor and NodeMCU ESP8266, which transmits data to the Blynk IoT server over an internet connection. The system's accuracy is assessed using the Mean Absolute Percentage Error (MAPE) calculation. Results show that this system achieves an accuracy of 96.37%, indicating high reliability and suitability for practical use due to its accuracy above 95%. This makes the designed system highly reliable, effective, and feasible for monitoring On-Grid Photovoltaic Power Plants.
Co-Authors Adhika Pramita Widyassari Lastoni Wibowo Shofia, Aina Wahyusari, Retno