cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
Transmisi: Jurnal Ilmiah Teknik Elektro
Published by Universitas Diponegoro
ISSN : -     EISSN : 24076422     DOI : -
Core Subject : Education,
Arjuna Subject : -
Articles 6 Documents
Search results for , issue "Vol 14, No 4 (2012): TRANSMISI" : 6 Documents clear
PENGENDALIAN pH AIR DENGAN METODE PID PADA MODEL TAMBAK UDANG Kristianto, Andrian; Setiawan, Iwan; Sumardi, Sumardi
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.013 KB) | DOI: 10.12777/transmisi.14.4.119-126

Abstract

Abstrak Luas wilayah perairan yang cukup besar Indonesia memiliki potensi dalam pengembangan dan budidaya hasil perikanan seperti udang, namun banyaknya petambak udang yang gagal panen karena perubahan cuaca yang tak menentu ini mengakibatkan buruknya kondisi air tambak sehingga menyebabkan banyak udang yang mati. Pengaruh keadaan air memang sangat penting karena ada beberapa parameter air yang berpengaruh pada udang seperti suhu air, kadar oksigen, pH, dan salinitas. Parameter tersebut perlu dijaga kestabilannya untuk kelangsungan hidup udang. Pengendalian pH air dengan metode PID Ziegler Nichols I ini dilakukan pencarian parameter kontroller pada beban tertentu dengan menggunakan metode bumptest untuk mendapatkan parameter L (keterlambatan), T (time konstan), dan K (gain) sehingga didapat nilai Kp, Ki, dan Kd. Metode PID Ziegler Nichols I hasil penelitian mengahsilkan nilai Kp= 175, Ki= 40, dan Kd= 10 dari nilai parameter L= 20 sekon, T= 71 sekon dan K= 0,0243 pH/%. Dari hasil pengujian metode PID Ziegler Nichols I dirasa cukup efektif dalam mengatasi gangguan dari beberapa hasil pengujian dengan gangguan berupa larutan asam dengan pH sebesar 3,80 dan 4,08 didapatkan error steady 5% sedangkan untuk gangguan berupa larutan asam dengan pH sebesar 5,03 error steady 4%. Kata kunci :Kontrol PID (Proporsional-Integral-Derivative), Pengontrolan pH air, Sensor pH.
ANALISA PENGARUH KONTAMINAN PANTAI TERHADAP UNJUK KERJA SAMPEL ISOLATOR BAHAN KERAMIK SEBELUM DAN SESUDAH DILAPISI MINYAK SILIKON Ashari, Anhar; Syakur, Abdul; Winardi, Bambang
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.801 KB) | DOI: 10.12777/transmisi.14.4.134-140

Abstract

Abstrak Sampai dengan saat ini, isolator yang paling banyak digunakan adalah dengan menggunakan bahan keramik. Kelemahan bahan isolator keramik ini, terutama pada bagian permukaannya yang bersifat mudah dibasahi oleh air. Kondisi ini sangat mendukung untuk terbentuknya kristal konduktif pada pemukaan bahan isolator bahan keramik, terutama disebabkan oleh kontaminan garam yang dibawa angin pada saat terjadi penguapan saat siang hari. Jika kontaminan ini dibiarkan terus, maka jalur konduktif ini akan menyebabkan arus bocor. Oleh karena itu diperlukan suatu tindakan, agar permukaan bahan isolator keramik ini bisa lebih bersifat menolak air (hidropobik). Dengan demikian permukaan tidak mudah terbasahi oleh air. Penelitian ini dilakukan untuk mengetahui pengaruh kontaminan pantai terhadap sampel isolator keramik dan pengaruh minyak silikon sebelum dan sesudah dilapiskan pada sampel isolator . Sistem pengukuran dan pengujian mengacu pada standar IEC 587 untuk mengetahui karakteristik isolator sebelum dan sesudah diberi lapisan minyak silikon, Karakteristik tersebut meliputi waktu flashover pertama, sudut kontak dan arus bocor. Hasil dari Pengujian menunjukkan bahwa Minyak Silikon terbukti dapat meningkatkan sudut kontak dari sampel uji. Sampel uji sebelum dilapisi minyak silikon mempunyai sudut kontak rata-rata sebesar 43,74o sedangkan sampel yang sudah dilpaisi minyak silikon mempunyai sudut kontak rata-rata sebesar 84,05o. Waktu terjadinya flashover pertama kali pada sampel sebelum diberi minyak silikon dengan dialiri polutan pantai cenderung singkat dengan waktu terlama adalah 351 detik. Sedangkan Untuk waktu terjadinya flashover setelah dilapisi minyak silikon dengan dialiri polutan pantai dengan waktu terlama adalah 11645 detik. Kata kunci :Minyak Silikon, Sudut Kontak, Sampel Isolator Keramik, IEC 587
PERHITUNGAN KORONA, AUDIBLE NOISE DAN RADIO INTERFERENCE PADA SALURAN UDARA TEGANGAN EKSTRA TINGGI 500 KV DENGAN VARIASI JARAK ANTAR KAWAT DAN JARAK ANTAR SIRKIT Saraswati, Amalia; Sukmadi, Tejo; Handoko, Susatyo
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.738 KB) | DOI: 10.12777/transmisi.14.4.141-149

Abstract

Abstract Electric power delivering from power plant to load needs power transmission system with low energy loss and low voltage regulation. Extra high voltage can reduce the energy loss but it results corona. Corona produces corona loss and gives negative impact to the environment such as audible noise (AN) and radio interference (RI). Space conductor is one factor that affects the corona loss. In this final project will calculate corona loss, audible noise and radio interference under extra high voltage overhead lines 500 kV. The calculation will be held in the variation of cross arm and the variation of space conductor. Then, corona loss, AN and RI value will be compare to the permission value. Analysis result shows that corona loss value in single line configuration is smaller than corona loss value in double line configuration. Conductor space change has dominant influence to modify corona loss value, AN and RI value. It is more dominant than cross arm space change. Calculation with the configuration that suitable with SNI 04-6918-2002 shows that AN and RI value is lower than Perry Criteria and SPLN 46-1-1981 about AN maximum limitation guide and IEEE Radio Noise Design Guide about RI maximum limitation. Keyword : conductor space, cross arm space, corona, audible noise, radio interference
APLIKASI PENCIRIAN DENGAN LINEAR PREDICTIVE CODING UNTUK PEMBELAJARAN PENGUCAPAN NAMA HEWAN DALAM BAHASA INGGRIS MENGGUNAKAN JARINGAN SARAF TIRUAN PROPAGASI BALIK Rohman, Sigit Nur; Hidayatno, Achmad; Zahra, Ajub Ajulian
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.865 KB) | DOI: 10.12777/transmisi.14.4.150-158

Abstract

Abstract In this research designed a recognition system for learning the pronunciation of the word animal names in English. Original speech signal sample at 8000 Hz pick out a small portion For voice parameter extraction process used method Linear Predictive Coding (LPC​​) to obtain cepstral coefficients. LPC cepstral coefficients are transformed into the frequency domain with Fast Fourier Transform (FFT). For decision making process of the introduction and use Neural Networks (NN) back propagation. Testing is done using the data train, according to a database of test data and test data do not fit database. While the networks do a variation of 3, 4 and 5 hidden layers respectively for 1, 2 and 3 the number of syllables said. Based on the results of testing training data, the recognition rate for each variation of each network the number of syllables showed no difference in test results, the percentage was 99% for the 1 syllable, 98.5% for the 2 syllables and 100% for 3 syllables. Test data suitable for testing the database, the highest recognition rate for type 1 syllable is a network with 4 hidden layers using a variation of the percentage is 85%, whereas type 2 syllables highest recognition rate using a variation of 5 hidden layers with the correct percentage of 75% and 81.67 % for type 3 syllables using 5 hidden layers. While the test results do not fit the test database, the highest recognition rate for type 1 syllable is a network with 4 hidden layers using a variation of the percentage is 15.83% while the type 2 syllables highest recognition rate using a variation of 3 hidden layers with percentage correct, 20.83% and 33.33% for type 3 syllables using 3 and 4 hidden layers. Keywords : Linear Predictive Coding, Fast Fourier Transform, Neural Network, Backpropagation.
ANALISIS TRANSFORMASI BALIK CITRA IRIS MENGGUNAKAN WAVELET HAAR BERDASARKAN FAKTOR RETENSI KOEFISIEN WAVELET Wicaksono, Agung; Isnanto, R. Rizal; Hidayatno, Achmad
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.979 KB) | DOI: 10.12777/transmisi.14.4.127-133

Abstract

Abstract Wavelet is one method that can be used as a step to recognition an individual. Wavelet is used to perform an image feature extraction. In the process of image texture analysis, showed the value of the coefficients of a wavelet. The magnitude of the coefficients obtained using wavelet feature extraction is influenced by several factors. Besides affected by the type of wavelet used, is also influenced by the magnitude of the wavelet decomposition level of itself. In the wavelet is known as the wavelet energy retention, which means the number of retained energy after undergoing a process of decomposition and cutting coefficients. During the decomposition process, the calculation for texture analysis is often a constraint. In order for the current calculation lighter texture analysis, necessary to the process of cutting coefficients based on the retention factor of the wavelet coefficients. Based on these issues, created a program to analyze the influence of variations in the level of wavelet decomposition and coefficient of variation coefficient of cutting a cut on the image. The object of this final project is 30 iris image that has been converted into polar form presented. Having experienced the process of cutting coefficients, to prevent the image of the reverse transformation has a big difference to the original image, in this study was calculated Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Euclidean distance to determine the level of similarity of image input and output images. The Highest values of Retention​, MSE and the Euclidean distance is obtained at the level of decomposition of 1 and the lowest at the level of decomposition 6. While the truncated coefficient and PSNR values ​​obtained at the highest level of decomposition of 6 and the lowest level of decomposition of 6. The variation coefficient of pieces, value retention and highest PSNR obtained at koefsien piece 5 and the lowest coefficient of 50 pieces. While the coefficient value is truncated, MSE and the highest Euclidean distance is obtained at koefsien pieces 50 and the lowest coefficient of 5 pieces. Keywords: iris, texture analysis, Haar wavelet transform, MSE, PSNR, Euclidean distance
PEMODELAN DAN SIMULASI ROLL, PITCHDANYAW PADA QUADROTOR Saputra, Oka Danil; Triwiyatno, Aris; Setiyono, Budi
Transmisi Vol 14, No 4 (2012): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.781 KB) | DOI: 10.12777/transmisi.14.4.111-118

Abstract

Abstrak Penelitian ini fokus membahas tentang pengaruh input Roll, Pitch dan Yaw pada Quadrotor. Metode Euler-Newton digunakan untuk memodelkan persamaan dinamika Quadrotor. Pengujian pemodelan dilakukan dengan menggunakan program matlab simulink. Dari hasil perhitungan, diperoleh nilai parameter dinamika yaitu massa Quadrotor m =1,2 [Kg], momen inersia pada sumbu x IXX = 8,3 × 10-3 [N.m.s2], momen inersia pada sumbu y IYY = 8,8 × 10-3 [N.m.s2], momen inersia pada sumbu z IZZ = 15,5 × 10-3 [N.m.s2], jarak pusat Quadrotor dengan pusat baling-baling l =230 ×10-3 [m], momen inersia total sekitar sumbut motor JTP = 2,3 × 10-5 [N.m.s2], konstanta elektrik motor KE = 5,8 × 10-3 [V.s/rad] dan hambatan motor R = 41,2 × 10-3 [Ω]. Dari hasil simulasi, disimpulkan bahwa nilai output sudut (phi) ditentukan oleh nilai inputRoll, nilai output sudut (theta) ditentukan oleh nilai inputPitch dan nilai output sudut (psi) ditentukan oleh nilai input Yaw. Kata kunci: Quadrotor,Roll, Pitch, Yaw Abstract This research work focused on the study of Roll, Pitch and Yaw (Input) a Quadrotor. The Euler-Newton formalism was used to model the dynamic system. The Matlab Simulink program was developed to test the result. From the calculation result, the value of dynamic parameter were consisting mass of the Quadrotor m =1,2[Kg], body moment of inertia around the x-axis IXX = 8,3 × 10-3 [N.m.s2], body moment of inertia around the y-axis IYY = 8,8 × 10-3 [N.m.s2], body moment of inertia around the z-axis IZZ = 15,5 × 10-3 [N. m .s2], length center of propeller from center of Quadrotor l = 230 × 10-3 [m], total rotational moment of inertia around the propeller axis JTP= 2,3 × 10-5 [N.m.s2], electric motor constant KE = 5,8 × 10-3 [V.s/rad] and motor resistance R = 41,2 × 10-3 [Ω]. From the simulation result, it can be concluded that the (phi) angle was determined the Roll input, the (theta) angle was determined the Pitch input and the (psi) angle was determined the Yaw input. Keywords: Quadrotor,Roll, Pitch, Yaw

Page 1 of 1 | Total Record : 6


Filter by Year

2012 2012


Filter By Issues
All Issue Vol 27, No 4 Oktober (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 27, No 3 Juli (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 27, No 2 April (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 27, No 1 Januari (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 26, No 4 Oktober (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 26, No 3 Juli (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 26, No 2 April (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 26, No 1 Januari (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 25, No 4 Oktober (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 25, No 3 Juli (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 25, No 2 April (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 25, No 1 Januari (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 24, No 4 Oktober (2022): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 24, No 3 Juli (2022): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 24, No 2 April (2022): TRANSMISI: Jurnal Ilmiah Teknik Elektro Vol 24, No 1 Januari (2022): TRANSMISI Vol 23, No 4 Oktober (2021): TRANSMISI Vol 23, No 3 Juli (2021): TRANSMISI Vol 23, No 2 April (2021): TRANSMISI Vol 23, No 1 Januari (2021): TRANSMISI Vol 22, No 4 Oktober (2020): TRANSMISI Vol 22, No 3 Juli (2020): TRANSMISI Vol 22, No 2 April (2020): TRANSMISI Vol 22, No 1 Januari (2020): TRANSMISI Vol 21, No 4 Oktober (2019): TRANSMISI Vol 21, No 3 Juli (2019): TRANSMISI Vol 21, No 2 April (2019): TRANSMISI Vol 21, No 1 Januari (2019): TRANSMISI Vol 20, No 4 Oktober (2018): TRANSMISI Vol 20, No 3 Juli (2018): TRANSMISI Vol 20, No 2 April (2018): TRANSMISI Vol 20, No 1 Januari (2018): TRANSMISI Vol 19, No 4 Oktober (2017): TRANSMISI Vol 19, No 3 Juli (2017): TRANSMISI Vol 19, No 2 April (2017): TRANSMISI Vol 19, No 1 Januari (2017): TRANSMISI Vol 18, No 4 Oktober (2016): TRANSMISI Vol 18, No 3 Juli (2016): TRANSMISI Vol 18, No 2 April (2016): TRANSMISI Vol 18, No 1 Januari (2016): TRANSMISI Vol 17, No 4 Oktober (2015): TRANSMISI Vol 17, No 3 Juli (2015): TRANSMISI Vol 17, No 2 April (2015): TRANSMISI Vol 17, No 1 Januari (2015): TRANSMISI Vol 16, No 4 (2014): TRANSMISI Vol 16, No 3 (2014): TRANSMISI Vol 16, No 2 (2014): TRANSMISI Vol 16, No 1 (2014): TRANSMISI Vol 15, No 4 (2013): TRANSMISI Vol 15, No 3 (2013): TRANSMISI Vol 15, No 2 (2013): TRANSMISI Vol 15, No 1 (2013): TRANSMISI Vol 14, No 4 (2012): TRANSMISI Vol 14, No 3 (2012): TRANSMISI Vol 14, No 2 (2012): TRANSMISI Vol 14, No 1 (2012): TRANSMISI Vol 13, No 3 (2011): TRANSMISI Vol 12, No 3 (2010): TRANSMISI Vol 12, No 1 (2010): TRANSMISI Vol 11, No 3 (2009): TRANSMISI Vol 7, No 2 (2005): TRANSMISI Vol 13, No 4 (2011): TRANSMISI Vol 13, No 2 (2011): TRANSMISI Vol 13, No 1 (2011): TRANSMISI Vol 12, No 4 (2010): TRANSMISI Vol 12, No 2 (2010): TRANSMISI Vol 11, No 4 (2009): TRANSMISI Vol 11, No 2 (2009): TRANSMISI Vol 11, No 1 (2009): TRANSMISI VOL 10, NO 4 (2008): TRANSMISI Vol 10, No 3 (2008): TRANSMISI Vol 10, No 2 (2008): TRANSMISI Vol 10, No 1 (2008): TRANSMISI Vol 9, No 2 (2007): TRANSMISI Vol 9, No 1 (2007): TRANSMISI Vol 8, No 2 (2006): TRANSMISI Vol 8, No 1 (2006): TRANSMISI Vol 7, No 1 (2005): TRANSMISI Vol 8, No 2 (2004): TRANSMISI Vol 6, No 2 (2003): TRANSMISI More Issue