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ANALISIS TINGKAT KEBISINGAN TERHADAP AKTIVITAS BELAJAR MENGAJAR DI FAKULTAS TEKNIK UNIVERSITAS SEMARANG Fahrudin Ahmad; Iryan Dwi Handayani; Sri Heranurweni
Elektrika Vol 10, No 1 (2018): April 2018
Publisher : Universitas Semarang

Optimal teaching or learning activities require a conducive and quiet environment because the high concentration required on its’ process. Campus area requires a quiet and silent environment. It is difficult for the urban areas to get a quiet campus environment. The study tries to reveal the evaluation on how the noise factors that occur during teaching and learning process. The study was conducted at Semarang University. The research method used is descriptive analytic method. Research shows that the building of engineering faculty (the A building) at Semarang University shows the proper noise level in line with the standard (School Acoustic Quality Standards). Besides, Semarang University must establish rules and policies to control the noise levels, to intensify the comfort of the lecture process. Based on the research results, the noise level on the Engineering faculty building of Semarang University has not been in line with the predetermined standard, which is more than (55 dB).Keywords: noise, lecture activities, acoustic quality standards of school buildings

SIMULASI PH AIR UNTUK AIR BOILER DAN AIR CHILLER PADA MESIN PRODUKSI REFRIGERATOR DENGAN MENGGUNAKAN LOGIKA FUZZY Andhika Irawan; Sri Heranurweni; Titik Nurhayati
Elektrika Vol 11, No 1 (2019): April 2019
Publisher : Universitas Semarang

The need for water is very important for the production process, the water quality must also be considered the pH value so that the water is suitable for use in boilers or chillers. Seeing from these needs a simulation was made on matlab R2017a using a fuzzy toolbox that can find out the water quality with fuzzy mamdani method. This fuzzy logic simulation can determine the standard value of boiler water pH (10.5-11.5) and the standard pH value of chiller water (6-8) in the production machine. The methods in fuzzy logic used are mamdani and centroid methods as deffuzification with R2017a matlab simulation tool. The fuzzy inference system used is the mamdani method. This study made a simulation of mamdani method that can determine the quality of the PH water produced by using fuzzy logic. Chiller water pH can be used if iron ion values (0-2 ppm), silica ions (50-150 ppm), Total Dissolved Solid (TDS) (500-1000 ppm), total Hardness (100-200 ppm), M-alkalinity (500-750 ppm) from the standard value, the pH of the chiller water can be proven to reach a water pH value of 6-8. Boiler water pH can be used if iron ion values (0-2 ppm), silica ions (100-150 ppm), Total Dissolved Solid (TDS) (2000-3500 ppm), total Hardness (0-3 ppm), M-alkalinity (700-800 ppm) from the standard value, the pH of boiler water can be proven to reach a water pH value of 10.5-11.5.Keywords: fuzzy logic, Mamdani method, pH of boiler water

PREDIKSI BEBAN ENERGI LISTRIK APJ KOTA SEMARANG MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF) Mukti Dwi Cahyo; Sri Heranurweni; Harmini Harmini
Elektrika Vol 11, No 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Electric power is one of the main needs of society today, ranging from household consumers to industry. The demand for electricity increases every year. So as to achieve adjustments between power generation and power demand, the electricity provider (PLN) must know the load needs or electricity demand for some time to come. There are many studies on the prediction of electricity loads in electricity, but they are not specific to each consumer sector. One of the predictions of this electrical load can be done using the Radial Basis Function Artificial Neural Network (ANN) method. This method uses training data learning from 2010 - 2017 as a reference data. Calculations with this method are based on empirical experience of electricity provider planning which is relatively difficult to do, especially in terms of corrections that need to be made to changes in load. This study specifically predicts the electricity load in the Semarang Rayon network service area in 2019-2024. The results of this Artificial Neural Network produce projected electricity demand needs in 2019-2024 with an average annual increase of 1.01% and peak load in 2019-2024. The highest peak load in 2024 and the dominating average is the household sector with an increase of 1% per year. The accuracy results of the Radial Basis Function model reached 95%.

RANCANG BANGUN ROBOT PEMADAM API BERODA DENGAN NAVIGASI SENSOR KOMPAS BERBASIS ATMEGA 128 Yusuf Nurul hilal; Sri Heranurweni; Andi Kurniawan N
Elektrika Vol 9, No 1 (2017): April 2017
Publisher : Universitas Semarang

CMPS03 an electronic compass sensor navigation sensor that helps in determining the direction toward the robot and in tracing the wall or room that works according to the principle of the compass in general. CMPS03 electronic compass sensor has two sensors that will detect ferrous magnetic Earth's magnetic field and also has a range of angles 360˚, the resulting data is then sent to the microcontroller Keywords: Compass Sensor, Robot, and Microcontroller.

RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB Bagus Eryawan; Ari Endang Jayati; Sri Heranurweni
Elektrika Vol 11, No 2 (2019): Oktober 2019
Publisher : Universitas Semarang

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.

SIMULASI PENGATURAN KECEPATAN MOTOR INDUKSI 3 PHASA DENGAN DIRECT TORQUE CONTROL MENGGUNAKAN MATLAB Ulfatun Khasanah; Supari Supari; Sri Heranurweni
Elektrika Vol 9, No 1 (2017): April 2017
Publisher : Universitas Semarang

Induction motors are widely used in the industrial world because they have many advantages, including construction that is very simple and strong, cheap, has high efficiency, quite good power factor, and maintenance is easier. Besides the advantages of induction motors also have weaknesses, one of the disadvantages of an induction motor is not being able to maintain its speed constantly if there is a change in load. If there is a change in load, the speed of the induction motor will decrease. One method of regulating the speed of an induction motor developed in addition to vector control is the Direct Torque Control (DTC) method. The DTC control technique allows direct and separate flux and torque settings and can be done without using a speed sensor. The estimated rotor rotation, torque and flux is carried out by the DTC which is inputted with stator voltage and current. To achieve the desired flux and torque estimation is used as feedback on the control system. In this final assignment, the speed regulation of the induction motor will be simulated using the DTC method using Matlab. The results obtained through the simulation show the length of time to reach the reference speed for speeds of 500rpm and 1000 rpm is around 0.5 seconds. Keywords : Induction motor, Direct Torque Control, Matlab.

Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ Budiani Destyningtias; Andi Kurniawan N; Sri Heranurweni
Elektrika Vol 10, No 1 (2018): April 2018
Publisher : Universitas Semarang

Penelitian ini bertujuan mengembangankan teknologi pengolahan citra medis terutama citra medis CT Scan penderita stroke. Dokter dalam menentukan tingkat keparahan pasien stroke biasanya menggunakan citra medis CT scan dan mengalami kesulitan dalam menginterpretasikan luasan cakupan perdarahan.Solusi yang digunakan dengan peregangan kontras yang akan membedakan jaringan sel, tulang tengkorak dan jenis perdarahan. Penelitian ini menggunakan peregangan kontras dari hasil citra CT Scan yang dihasilkan dengan terlebih dahulu mengubah Citra DICOM menjadi citra JPEG dengan menggunakan bantuan program ImageJ. Hasil penelitian menunjukkan bahwa metode histogram ekualisasi dan analisis tekstur statistik dapat digunakan untuk membedakan yang normal MRI dan abnormal MRI yang terdeteksi stroke. Kata – Kata Kunci : Stroke, MRI , Dicom, JPEG, ImageJ, Peregangan Kontras

KLASIFIKASI POLA IMAGE PADA PASIEN TUMOR OTAK BERBASIS JARINGAN SYARAF TIRUAN ( STUDI KASUS PENANGANAN KURATIF PASIEN TUMOR OTAK ) Sri Heranurweni; Budiani Destyningtias; Andi Kurniawan Nugroho
Elektrika Vol 10, No 2 (2018): Oktober 2018
Publisher : Universitas Semarang

Nowadays medical science has developed rapidly, diagnostic and treatment techniques have provided life expectancy for patients. One way of examining brain tumor sufferers is radiological examination that needs to be done, including MRI with contrast. MRI brain images are useful for seeing tumors in the initial steps of diagnosis and are very good for classification, erosions / destruction lesions of the skull. Smoothing image processing, segmentation with otsu method and feature extraction are carried out to facilitate the training and testing process. This study, will apply texture analysis with the parameters contrast, correlation, energy, homogenity to distinguish the texture of brain tumor images and normal so as to produce a standard gold value based on existing texture characteristics. Training and testing of texture features using backpropagation method of artificial neural networks with variations in learning rate values so that it is expected to obtain a classification of the image conditions of patients with brain tumors. The data used are 29 brain images that produce classification accuracy of 96.55%.Keywords : MRI images, brain tumors, textur, backprogation

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