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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Ilmiah FIFO Jurnal Rekayasa Konstruksi Mekanika Sipil Jurnal Pendidikan dan Konseling Journal Of Khairun Community Services Agrikan: Jurnal Agribisnis Perikanan
Wahab, Iis Hamsir Ayub
Program Studi Teknik Elektro, Universitas Khairun
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation Sapto Nisworo; Deria Pravitasari; Iis Hamsir Ayub Wahab
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 2 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i2.6040

Abstract

The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output power of the wind power generator. Based on the simulation results, the backpropagation algorithm of the artificial neural network obtains the output power based on the input variable in the form of changing wind speed. The results show that the best value is learning rate = 0.5, error = 0.0001, max. epoch= 100000, neuron hidden layer = 5. The Mean Square Error (MSE) value obtained is 0.1026 reaching the goal at epoch 14845. The reverse training regretion reaches 0.99917. The optimization results are close to the specified error, which is 0.0001, while what is obtained is 0.0145. The power generated by the wind speed is 10.7 m/s before being optimized using the back propagation neural network method worth 321 watts, while the optimized power results are 409 watts. The difference in the average target power obtained is 88 watts compared to the power of the Artificial Neural Network (ANN). 
Rancang Bangun Software Aplikasi Pavement Condition Index Untuk Evaluasi Kondisi Perkerasan Bandara Kamil Teapon; Sabaruddin Sabaruddin; Iis Hamsir Ayub Wahab
Jurnal Pendidikan dan Konseling (JPDK) Vol. 5 No. 1 (2023): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v5i1.11759

Abstract

Metode PCI atau Pavement Condition Index digunakan dalam melakukan pendekatan penilaian kondisi landasan pacu atau runway. Proses menghitung PCI perlu pembacaan grafik dan tabel referensi yang jumlahnya cukup banyak yang apabila dilakukan secara manual cenderung tidak efisien. Dengan demikian, diperlukan mekanisme dalam otomatisasi proses menghitung PCI agar lebih cepat. Diperlukan mekanisme dalam otomatisasi proses menghitung, yaitu pembuatan program komputer dalam merangkaikan sejumlah tahapan proses menghitung PCI dengan bahasa pemrograman Borland Delphi. Secara umum program bahasa visual mempunyai tiga bagian pokok yaitu input data, proses, dan output. Data yang digunakan adalah data sekunder dari Sutanto (2010) yang digunakan sebagai data masukan. Alur tahapan dalam proses perhitungan dengan memperhatikan sejumlah elemen terkait. Hasil rancangan bahasa pemrograman Borland Delphi menggunakan beberapa komponen dan sejumlah variabel yang menghasilkan interface   berupa kotak dialog dan sejumlah tombol untuk input data dan dilengkapi beberapa notifikasi, sehingga akan muncul peringatan apabila terjadi kesalahan saat proses input data. Analisis dan uji validasi bahasa pemrograman Borland Delphi secara manual pada perhitungan PCI.
SISTEM PENGGERAK DAN BALLAST PADA ROV (Remotely Operated Vehicles) Yudittiadi Habu; Iis Hamsir Ayub Wahab; Achmad Prajudin sardju
PROtek : Jurnal Ilmiah Teknik Elektro Vol 5, No 1 (2018): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.481 KB) | DOI: 10.33387/protk.v5i1.609

Abstract

Perancangan mini ROV pada skripsi ini menggunakan sistem penggerak dan ballast yang berfungsi untuk bagaimana mini ROV dapat manuver di dalam air dan dapat mengapung menyelam hingga pada dasarnya.Untuk sebuahsistempenggerak menggunakan motor dc sedangkan pada sistem ballast menggunakan waterpump mini DC. Sistem kontrol pada mini ROV menggunakan remotecontrol dan untuk menghimpun secarakeseluruhan pengendali digunakan mikrokontroler Atmega16 yang dimana telah di program untuk dapat menjalankan setiap fungsi yang dibuat. Dari perancangan mini ROV ini didapatkan hasil penelitian dimana motor dc yang difungsikan untuk manuver di dalam air mengonsumsi tegangan sebesar 14V DC, dan untuk water pump mini yang difungsikan untuk pengisian dan pembuangan air mengonsumsi tegangan sebesar 5V DC. Dengan menggunakan metode Hukum Archimedes didapatkan gaya ke atas sebesar 23,575272 N.
Processing of Cow Manure Waste as Organic Fertilizer in Farmer Groups in Jailolo District West Halmahera Regency Yusri Sapsuha; Iis Hamsir Ayub Wahab; Nur Sjafani; Hasriani Ishak
Agrikan Jurnal Agribisnis Perikanan Vol 16 No 2 (2023): Agrikan: Jurnal Agribisnis Perikanan
Publisher : Fakultas Pertanian, Universitas Muhammadiyah Maluku Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52046/agrikan.v16i2.1766

Abstract

Geographically, Hatebicara Village Jailolo District is located in the northern part of West Halmahera Regency and is a potential area for the development of agricultural and livestock commodities. owever, these farmer groups have not been able to process cow dung into organic fertilizer, and the traditional livestock farming system carried out by livestock farmer groups has resulted in low income for the husbandry businesses. The community service implementation team plays an active role in helping to improve the understanding and skills of farmer groups regarding optimal waste utilization through counseling, technical guidance, and demonstration plots with this Community Partnership Program PKM) activity. The community partnership program has been welcome and accepted by all group members and the rest community, and it was hoped to increase knowledge and understanding of organic fertilizer processing will have a positive impact on farmers' income.
Co-Authors Abdul Madjid Abdullah Achmad Prajudin Sardju, Achmad Prajudin Acmad P. Sardju Alfian N Garai Assaf Arief Assaf Arief Bambang Tjiroso Dana Indra Sensuse Deria Pravitasari Endah Harisun Erwinsyah Tuhuteru Fahri D Marajabesi Gaus, Abdul Hasriani Ishak Kamil Teapon Mohammad Jamil Mufti Amir Sultan, Mufti Amir Muhammad Yunus H Abbas Muhammad Yunus H Abbas Nu'man Nu'man Nur Sjafani Nurany Nurany Nursanti Abdurrachman Sabaruddin Sabaruddin Sapto Nisworo Yudittiadi Habu Yusri Sapsuha