Moeljono Widjaja
Universitas Multimedia Nusantara, Informatics, Faculty Member
Indoor air quality has become a crucial issue, specifically during COVID 19 pandemic. The good indoor air quality will lead to occupants’ comfort condition, thus affecting their productivity. Indoor air temperature and relative humidity... more
Indoor air quality has become a crucial issue, specifically during COVID 19 pandemic. The good indoor air quality will lead to occupants’ comfort condition, thus affecting their productivity. Indoor air temperature and relative humidity are two essential components of thermal comfort. This paper presents the development of a temperature and relative humidity monitoring system for the classroom using the Internet of Things (IoT). This system consists of three main components: logger nodes, a gateway logger, and an interconnected cloud server. The logger node (ESP8266 / ESP32 microcontroller and DHT22 sensor) is a device at the edge of the IoT system and is placed at the monitoring location. The logger gateway is built on a Raspberry Pi 4, which serves as an intermediate server. It receives periodic data (temperature and humidity) from the logger nodes through the publish-subscribe MQTT protocol and sends it to the MongoDB Atlas cloud database. The logger gateway saves all received lo...
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Investment in the capital market can help boost a country’s economic growth. Without a doubt, in investing, a technical analysis of the condition of the stock is needed at that time. One of the technical analyses that can be done is to... more
Investment in the capital market can help boost a country’s economic growth. Without a doubt, in investing, a technical analysis of the condition of the stock is needed at that time. One of the technical analyses that can be done is to look at the historical data of stocks. Candlestick charts can summarize historical data that contain price value for Open, High, Low, and Close (OHLC) in the form of a chart. A group of candlesticks will form a pattern that can help investors to see whether the stock is trending up or down. The number of candlestick patterns and the manual determination of candlestick patterns may take time and effort. Feedforward Neural Network (FNN) is one of the algorithms that can help map the input and output of a given dataset. This study aims to implement FNN to classify candlestick patterns found in historical stock data. The test results show that the accuracy for each model scenario does not guarantee whether all patterns can be properly recognized. This is ...
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Kegiatan pelatihan ini bertujuan untuk meningkatkan kemampuan siswa/siswi MA Raudatul Irfan dalam penggunaan MS.Office, terutama MS.Word. Peningkatan kemampuan siswa/siswi akan meningkatkan peluang mereka untuk memasuki jenjang pendidikan... more
Kegiatan pelatihan ini bertujuan untuk meningkatkan kemampuan siswa/siswi MA Raudatul Irfan dalam penggunaan MS.Office, terutama MS.Word. Peningkatan kemampuan siswa/siswi akan meningkatkan peluang mereka untuk memasuki jenjang pendidikan lebih tinggi dan dunia kerja. Kegiatan ini dilaksanakan selama dua hari dimulai dari pagi jam 8.00 WIB sampai selesai. Banyaknya jumlah siswa/siswi yaitu berjumlah 80 orang ditambah staf dan guru sebanyak 10 orang, maka untuk meningkatkan efektifitas dalam pelatihan di laboratorium Kampus UMN, peserta dibagi dua kelompok sebanyak 40 orang untuk setiap kelasnya. Metode yang digunakan dalam pelatihan ini adalah demontrasi dan contoh. Pada awal sesi peserta akan diperkenalkan pada komputer, sistem operasi, dan MS.Office, kemudian diakhiri dengan evaluasi dan latihan. Dengan mengikuti pelatihan ini, siswa/siswi akan meningkat kemampuannya dalam menggunakan komputer terutama MS.Office dengan tujuan utama membuat surat dan laporan menggunakan MS.Word. Se...
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In electricity markets organized as pools, electrical power producers provide offers (called sometimes bids) of power generation in defined price bands for every trading interval. Usually, the price offered reflects the variable cost of... more
In electricity markets organized as pools, electrical power producers provide offers (called sometimes bids) of power generation in defined price bands for every trading interval. Usually, the price offered reflects the variable cost of generation. Bidding behavior of market participants is determined by several factors. They include vesting and bilateral contracts, predicted demand, generation reserve, experience from the past and
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This paper discusses the air traffic simulation based on a Collision Risk Model to calculate the estimated risk for track A576 to create an actual flight conditions by using a scenario used to create the desired environmental conditions... more
This paper discusses the air traffic simulation based on a Collision Risk Model to calculate the estimated risk for track A576 to create an actual flight conditions by using a scenario used to create the desired environmental conditions for this simulation. The main procedure in this paper is divided into three parts: determining the parameter of laplace distribution for longitudinal, lateral and vertical error distribution, determining which scenario will be used in the simulation, and calculating the Estimated Collision Risk. Lastly, it proposes future avenues for research involving Collision Risk Simulator.
In deregulated electricity industries, an electricity market simulator is one of the tools, which can be used by market participants and administrators to analyse market behaviours, to formulate optimum bids, and to investigate different... more
In deregulated electricity industries, an electricity market simulator is one of the tools, which can be used by market participants and administrators to analyse market behaviours, to formulate optimum bids, and to investigate different market structures. This paper presents the development of an electricity market simulator that is designed to imitate the Australian National Electricity Market. The simulator is developed in MATLAB and is composed of four main components: generators, loads, pricing engines, and database interfaces. The simulator generates regional spot prices, individual dispatching of generators and transmission flows/losses, all of which are automatically saved in a database at each dispatch interval. Access to historical market data through the database interface is crucial in the formulation of bidding strategies. Some interesting results of the simulation that show the effects of transmission losses and congestion, and different market behaviours are also pres...
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ABSTRACT
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ABSTRACT
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This paper presents the development of a fuzzy model for classification of paddy growth stages based on synthetic MODIS data. Classification of growth stages is an important process in prediction of crop production using a remote-sensing... more
This paper presents the development of a fuzzy model for classification of paddy growth stages based on synthetic MODIS data. Classification of growth stages is an important process in prediction of crop production using a remote-sensing technology. The proposed approach takes advantages of the nature of a fuzzy system which is able to capture gradual changes/movements by fitting its membership functions. A novel approach to shaping fuzzy input membership functions based on box-plot parameters is also presented. The developed fuzzy model was build and tested on 3935 sets of synthetic MODIS data. The results show that the proposed method was able to classify the growth stages satisfactorily and was robust to handle noises in the data.
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Fuzzy Model of Generator Bidding System in Competitive Electricity Markets Moeljono Widjaja*, Ly Fie Sugianto** and Robert Edward Morrison* * Department of Electrical and Computer Systems Engineering PO Box 35, Monash University, Victoria... more
Fuzzy Model of Generator Bidding System in Competitive Electricity Markets Moeljono Widjaja*, Ly Fie Sugianto** and Robert Edward Morrison* * Department of Electrical and Computer Systems Engineering PO Box 35, Monash University, Victoria 3800, AUSTRALIA ** ...