ElektrikaPub Date : 2018-10-05DOI: 10.26623/ELEKTRIKA.V10I2.1167
Harmini Harmini, Titik Nurhayati
{"title":"PEMODELAN SISTEM PEMBANGKIT HYBRID ENERGI SOLAR DAN ANGIN","authors":"Harmini Harmini, Titik Nurhayati","doi":"10.26623/ELEKTRIKA.V10I2.1167","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V10I2.1167","url":null,"abstract":"Hybrid energy system is to combine two energy sources that will provide power to the load. Sources of solar energy and wind energy will be used to generate power. In this research will be designed a model of hybrid system of solar energy and wind energy. The system is made equipped with energy storage systems in the form of batteries. Simulation or modeling using a circuit with components appropriate to the field application. Analysis of this system is the performance of hybrid generator characteristics based on load changes in the form of voltage, current and power values. The power generated by the PLTS is 3,000 Watts and the wind generator is 1,000 Watt with a resistive load of 4,000 Watt. Hybrid system generates a power of 2640 Watt so that the efficiency of hybrid system by 66%Keywords: Hybrid system, wind energy, solar energy","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43134482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ElektrikaPub Date : 2018-10-05DOI: 10.26623/elektrika.v10i2.1260
Derman Derman, Harmini Harmini
{"title":"MODEL SISTEM INFORMASI MONITORING PERKULIAHAN FAKULTAS TEKNIK UNIVERSITAS SEMARANG BERBASIS WEB","authors":"Derman Derman, Harmini Harmini","doi":"10.26623/elektrika.v10i2.1260","DOIUrl":"https://doi.org/10.26623/elektrika.v10i2.1260","url":null,"abstract":"The development of Information Technology is increasingly demanding that Higher Education to provide information quickly to meet the needs of Information and Monitoring Course for Lecturers, Students and Admin staff. This study aims to design a Model Information System and Monitoring Course at the Faculty of Engineering, University of Semarang Web-based. Coverage includes lecture planning, lecturing, evaluation of lecturing, control of lecturing and improvement of lecture planning. This research produces an application of Information System and Monitoring model of lecturing which aims to facilitate and accelerate the preparation of time, room and course schedule and ease in monitoring the attendance status of lecturers in class either to students or other parties in real time without having to come to campus check board information . The contribution of this research results will greatly affect the application of science and technology for higher education institutions and to realize the development of Faculty of Engineering Semarang University as a leading Faculty in 2023. The method used is dynamic priorities method which prioritizes the process that has the highest priority and is able to respond to changes in the system environment operate. Modeling the system using XAMPP package in which integrated MySQL module for database purposes, PHP for management of information systems, and Apache for simulation purposes. The results showed the implementation of the application of Information Systems Monitoring System Lectures Faculty of Engineering, University of Semarang goes well.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48552695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ElektrikaPub Date : 2018-10-05DOI: 10.26623/ELEKTRIKA.V10I2.1166
Fahrudin Ahmad, Iryan Dwi Handayani, Agus Margiantono
{"title":"ANALISIS TINGKAT KEBISINGAN DI UNIVERSITAS SEMARANG DENGAN PETA KONTUR MENGGUNAKAN SOFTWARE GOLDEN 1","authors":"Fahrudin Ahmad, Iryan Dwi Handayani, Agus Margiantono","doi":"10.26623/ELEKTRIKA.V10I2.1166","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V10I2.1166","url":null,"abstract":"Campus is a place which is teaching and learning process occur. One factor that support a good learning environment is to avoid noise problems. The object of the research is the campus of Semarang University located on Jalan Arteri Soekarno-Hatta, it is located on the edge of the Kaligawe-Gayamsari toll road. Both roads includes the most crowded transportation routes in Semarang City.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. The research was conducted by measuring the noise level using Sound Level Meter (KRISBOW) type KW08-291, several data collection points was taken at Semarang University, both open and closed environments around campus. The results of noise measurements would be carried out in noise mapping to know the noise distribution map in the campus area. The noise level in the campus is still above 55 dB on average. It shows that the noise level in the environment of Semarang University has not been in line with the predetermined standard that is still greater than (40 - 50 dBA) in accordance to the decree of the State Minister of the Environment number 48 of 1996.Keywords: noise, sound level meter, noise threshold value, decree of the State Minister of the Environment number 48 of 1996","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47350378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ElektrikaPub Date : 2018-10-05DOI: 10.26623/ELEKTRIKA.V10I2.1169
S. Heranurweni, Budiani Destyningtias, A. Nugroho
{"title":"KLASIFIKASI POLA IMAGE PADA PASIEN TUMOR OTAK BERBASIS JARINGAN SYARAF TIRUAN ( STUDI KASUS PENANGANAN KURATIF PASIEN TUMOR OTAK )","authors":"S. Heranurweni, Budiani Destyningtias, A. Nugroho","doi":"10.26623/ELEKTRIKA.V10I2.1169","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V10I2.1169","url":null,"abstract":" 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 ","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49555249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ElektrikaPub Date : 2018-10-02DOI: 10.26623/elektrika.v10i2.1168
Iryan Dwi Handayani, Agus Margiantono, Fahrudin Ahmad
{"title":"VISUALISASI KONSEP PERLAYANGAN GELOMBANG DENGAN MEMANFAATKAN SPREADSHEET EXCEL","authors":"Iryan Dwi Handayani, Agus Margiantono, Fahrudin Ahmad","doi":"10.26623/elektrika.v10i2.1168","DOIUrl":"https://doi.org/10.26623/elektrika.v10i2.1168","url":null,"abstract":"Perkembangan ilmu pengetahuan dan teknologi yang semakin maju telah menghasilkan berbagai macam peralatan canggih yang dapat menunjang terpenuhinya kebutuhan hidup. Oleh sebab itu diperlukan generasi penerus yang pandai dan kreatif. Hal ini yang menyebabkan kebutuhan pendidikan yang semakin tinggi dan permasalahannya semakin kompleks. Pembelajaran tentang gelombang sudah didapatkan sejak duduk di bangku SMP, tetapi pemahaman tentang hal ini masih kurang. Oleh karena itu, dengan memanfaatkan fasilitas-fasilitas yang diberikan komputer, perumusanperumusan gelombang elektromagnetik yang abstrak akan lebih mudah dipahami. Visualisasi dari grafiknya dapat memberikan kemudahan bagi mahasiswa untuk lebih memahami materi yang diberikan. Penelitian ini dilaksanakan dalam dua tahapan, tahapan yang pertama dimulai dari studi pustaka pendukung terutama yang berkaitan dengan superposisi gelombang. Langkah selanjutnya adalah menurunkan rumusan superposisi dua gelombang dengan variasi frekuensi, amplitudo, dan fase yang berbeda-beda. Tahapan kedua yang dilakukan hampir sama dengan tahapan pertama yaitu studi pustaka, namun cukup dengan memperoleh fungsi gelombang tunggal. Selanjutnya berdasarkan fungsi gelombang dengan variasi frekuensi, amplitudo, dan fase. Proses superposisi gelombang dilakukan dengan cara menjumlahkan data sintetik fungsi gelombang 1 dan 2, menghasilkan data sintetik fungsi gelombang hasil superposisi. Data sintetik ini kemudian divisualisasikan dalam bentuk grafik Penelitian ini menghasilkan visualisasi konsep perlayangan gelombang yang diungkapkan dalam grafik hubungan antara simpangan terhadap waktu dengan frekuensi berbeda, amplitudo dan beda fase yang berbeda. Kata kunci : perlayangan gelombang, superposisi, spreadsheet","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43887217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ElektrikaPub Date : 2018-04-04DOI: 10.26623/ELEKTRIKA.V10I1.1130
Budiani Destyningtias, A. Nugroho, S. Heranurweni
{"title":"Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ","authors":"Budiani Destyningtias, A. Nugroho, S. Heranurweni","doi":"10.26623/ELEKTRIKA.V10I1.1130","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V10I1.1130","url":null,"abstract":"This study aims to develop medical image processing technology, especially medical images of CT scans of stroke patients. Doctors in determining the severity of stroke patients usually use medical images of CT scans and have difficulty interpreting the extent of bleeding. Solutions are used with contrast stretching which will distinguish cell tissue, skull bone and type of bleeding. This study uses contrast stretching from the results of CT Scan images produced by first turning the DICOM Image into a JPEG image using the help of the ImageJ program. The results showed that the histogram equalization method and statistical texture analysis could be used to distinguish normal MRI and abnormal MRI detected by stroke.Keywords : Stroke, MRI, Dicom, JPEG, ImageJ, Contrast Stretching ","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42737935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}