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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Indonesian Journal of Electrical Engineering and Computer Science Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi
Syukri Yunus
Universitas Andalas
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Other

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Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol Yunus, Syukri; Abrar, Hairul; Akbar, Auliya
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.891 KB) | DOI: 10.25077/jnte.v10n3.927.2021

Abstract

The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1,  bio composite 2, and bio composite 3 were 29.742 kΩ and 1.178×10-3 S/cm, 20.338 kΩ and 1.692×10-3 S/cm, 34,572 kΩ and 0.9807×10-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.
Studi Penempatan dan Kapasitas Pembangkit Tersebar terhadap Profil Tegangan dan Rugi Saluran pada Saluran Marapalam Yunus, Syukri; Ismail, Imbang
JURNAL NASIONAL TEKNIK ELEKTRO Vol 7, No 1: March 2018
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.867 KB) | DOI: 10.25077/jnte.v7n1.462.2018

Abstract

This study aims to reduce the power loss and increase the voltage profile based on optimal placement and DG capacity on feeder Marapalam. The applied methods are the Sensitivity analysis method with Loss Sensitivity Factor (LSF) and Voltage Sensitivity Index (VSI). The results of both methods are compared with trial and error method. DG can reduce power losses on the lines and DG placement must be appropriate to obtain minimal power loss. Using ETAP 12.6, the sensitivity of power losses and the sensitivity of network voltages of Marapalam distribution network are calculated. The optimal location on DG photovoltaic is on a 147B bus with a power injection of 75%, able to reduce active and reactive power losses from 35,792 kW and 57,363 kVar to 8,159kW and 13,079kVar. While the optimal location on DG wind turbine is on bus 293T with penetration of 45% of the power supplied to the Marapalam line, able to reduce the active and reactive power to 24,89kW and 39,9kVar.Keywords : Distributed Generator power loss, sensitivity analysisAbstrakPenelitian ini bertujuan untuk untuk mengurangi rugi daya dan meningkatkan profil tegangan berdasarkan penempatan dan kapasitas DG yang optimal di jaringan distribusi penyulang Marapalam. Metode yang digunakan adalah metode Sensitivity analisis dengan salah satu analisisnya adalah menggunakan Loss Sensitivity Factor (LSF) dan metode Voltage Sensitivity Index (VSI). Hasil kedua metode ini dibandingkan dengam metode trial and error. DG dapat mengurangi rugi daya pada saluran dan penempatan DG yang tepat untuk mendapatkan rugi daya yang minimal. ETAP 12.6 diaplikasikan untuk menghitung sensitivitas rugi daya, sensitivitas tegangan jaringan guna memperoleh penempatan DG yang optimal. Berdasarkan studi kasus jaringan distribusi penyulang marapalam, diperoleh lokasi optimal dari DG photovoltaic adalah pada bus 147B dengan injeksi daya sebesar 75%  daya yang disalurkan ke saluran Marapalam. Penempatan ini mampu mengurangi rugi daya aktif dan reaktif dari 35,792 kW dan 57,363 kVar menjadi 8,159kW dan 13,079kVar. Sedangkan lokasi yang optimal dari DG turbin angin adalah pada bus 293T dengan penetrasi 45% dari daya yang disalurkan ke saluran Marapalam mampu mengurangi rugi daya aktif dan reaktif menjadi 24,89kW dan 39,9kVar.Kata Kunci : Pembangkit Tersebar, rugi daya, analisa sensitivitas.
Memperbaiki Tegangan dan Rugi–rugi Daya pada Sistem Transmisi dengan Optimasi Penempatan Kapasitor menggunakan Algoritma Genetika Yunus, Syukri; Laksono, Heru Dibyo; Nidya, Putri
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5, No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.843 KB) | DOI: 10.25077/jnte.v5n2.291.2016

Abstract

Electric power system is said to have a high degree of reliability if the system is able to provide a supply of electrical energy required by consumers continuously. Power loss that occurs in line resulting voltage drop on the line and cause a loss due to the decreasing reliability of the system to supply power to the load. To reduce the power loss in the line do installation of capacitors. Installation of capacitors conducted by calculating the position of the placement and size, so that placement of capacitors that do can be optimized to reduce losses that occur. Optimal methods are quite effective is algorithm genetics. In this method, capacitor placement is done with the chromosome leads to the selection obtained. The best results will be obtained from a chromosome that contains a condition that there is optimum placement of capacitors that can minimize power loss that occurs in the channel as well as minimize the amount of use of the capacitor. The comparison can be done by using Newton Raphson power flow between before and after forging capacitor.Keywords : Power losses, voltage, algorithm genetics, capacitors, chromosomeAbstrak— Suatu sistem tenaga listrik dikatakan memiliki tingkat keandalan yang tinggi apabila sistem tersebut mampu menyediakan pasokan energi listrik yang dibutuhkan oleh konsumen secara kontinyu. Rugi–rugi daya yang terjadi pada saluran mengakibatkan turunnya tegangan pada saluran dan menyebabkan kerugian karena semakin berkurangnya keandalan sistem dalam menyalurkan listrik ke beban. Untuk mengurangi terjadinya rugi–rugi daya pada saluran dilakukan pemasangan kapasitor. Pemasangan kapasitor dilakukan dengan memperhitungkan posisi penempatan serta ukurannya, agar penempatan kapasitor yang dilakukan dapat optimal dalam mengurangi rugi–rugi yang terjadi. Metode optimasi yang yang cukup efektif adalah algoritma genetika. Pada metode ini, penempatan kapasitor dilakukan dengan mengarah pada pemilihan kromosom yang diperoleh. Hasilnya akan diperoleh kromosom terbaik dari sebuah populasi yang ada yang berisi kondisi optimum penempatan kapasitor yang dapat memperkecil rugi–rugi daya yang terjadi pada saluran sekaligus meminimalisir banyaknya penggunaan kapasitor. Perbandingan yang bisa dilakukan dengan menggunakan aliran daya Newton-Raphson antara sebelum dan sesudah penempatan kapasitor.Kata Kunci : Rugi-rugi daya, Tegangan, Algoritma genetika, Kapasitor, Kromosom.
Analisa Pengaruh Integrasi Pembangkit Tersebar dalam Sistem Komposit ., Syafii; Yunus, Syukri; ., Asrizal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 3, No 1: Maret 2014
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.226 KB) | DOI: 10.25077/jnte.v3n1.61.2014

Abstract

Electricity demand in Indonesia continues to increase in accordance with the development of science and technology. Therefore, there is a need of reliable power system, qualified , and able to meet all electricity needs. To optimize the reliability of the power system work one is to perform the installation of distributed generation on power composite system. With the installation of distributed generation power loss and voltage drop that occurs can be reduced. In the installation of distributed generation is a lot of things to consider, such as the exact mounting position, the amount of distributed generation, distributed generation large capacity and type of distributed generation technology used. Based on the research results position the optimal placement of distributed generation is located close to the load. The total power loss and transmission systems combined distribution system after the addition of distributed generation has been decreased and voltage profile increased. The losses and voltage drop values  vary based on the variation of distributed generation technologies. Keywords: Distributed generation , Power losses and Voltage profiles  AbstrakPemakaian tenaga listrik di Indonesia terus meningkat seiring dengan semakin berkembangnya ilmu pengetahuan dan teknologi. Untuk itu dibutuhkan sistem tenaga listrik yang andal, berkualitas, dan mampu memenuhi semua kebutuhan tenaga listrik. Untuk mengoptimalkan keandalan kerja sistem tenaga listrik salah satunya adalah dengan pengitegrasian pembangkit tersebar pada sistem tenaga komposit. Dengan terkoneksinya pembangkit tersebar ke jaringan distribusi listrik dapat mengurangi rugi-rugi daya dan jatuh tegangan. Dalam pemasangan pembangkit tersebar ini banyak hal yang harus dipertimbangkan, seperti posisi pemasangan yang tepat, jumlah pembangkit tersebar, besar kapasitas pembangkit tersebar dan jenis teknologi pembangkit tersebar yang digunakan. Berdasarkan hasil penelitian posisi penempatan pembangkit tersebar yang optimal adalah berada dekat dengan beban. Total rugi-rugi daya gabungan sistem transmisi dan sistem distribusi setelah penambahan pembangkit tersebar turun dan profil tegangan semakin baik atau meningkat. Besar kecilnya penurunan rugi-rugi daya dan nilai jatuh tegangan bervariasi tergantung jenis teknologi pembangkit tersebar yang digunakan.Kata Kunci: Pembangkit tersebar, Rugi-rugi daya dan Profil tegangan
Analisa Pengaruh Integrasi Pembangkit Tersebar dalam Sistem Komposit Syafii .; Syukri Yunus; Asrizal .
JURNAL NASIONAL TEKNIK ELEKTRO Vol 3 No 1: Maret 2014
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.226 KB) | DOI: 10.25077/jnte.v3n1.61.2014

Abstract

Electricity demand in Indonesia continues to increase in accordance with the development of science and technology. Therefore, there is a need of reliable power system, qualified , and able to meet all electricity needs. To optimize the reliability of the power system work one is to perform the installation of distributed generation on power composite system. With the installation of distributed generation power loss and voltage drop that occurs can be reduced. In the installation of distributed generation is a lot of things to consider, such as the exact mounting position, the amount of distributed generation, distributed generation large capacity and type of distributed generation technology used. Based on the research results position the optimal placement of distributed generation is located close to the load. The total power loss and transmission systems combined distribution system after the addition of distributed generation has been decreased and voltage profile increased. The losses and voltage drop values  vary based on the variation of distributed generation technologies. Keywords: Distributed generation , Power losses and Voltage profiles  AbstrakPemakaian tenaga listrik di Indonesia terus meningkat seiring dengan semakin berkembangnya ilmu pengetahuan dan teknologi. Untuk itu dibutuhkan sistem tenaga listrik yang andal, berkualitas, dan mampu memenuhi semua kebutuhan tenaga listrik. Untuk mengoptimalkan keandalan kerja sistem tenaga listrik salah satunya adalah dengan pengitegrasian pembangkit tersebar pada sistem tenaga komposit. Dengan terkoneksinya pembangkit tersebar ke jaringan distribusi listrik dapat mengurangi rugi-rugi daya dan jatuh tegangan. Dalam pemasangan pembangkit tersebar ini banyak hal yang harus dipertimbangkan, seperti posisi pemasangan yang tepat, jumlah pembangkit tersebar, besar kapasitas pembangkit tersebar dan jenis teknologi pembangkit tersebar yang digunakan. Berdasarkan hasil penelitian posisi penempatan pembangkit tersebar yang optimal adalah berada dekat dengan beban. Total rugi-rugi daya gabungan sistem transmisi dan sistem distribusi setelah penambahan pembangkit tersebar turun dan profil tegangan semakin baik atau meningkat. Besar kecilnya penurunan rugi-rugi daya dan nilai jatuh tegangan bervariasi tergantung jenis teknologi pembangkit tersebar yang digunakan.Kata Kunci: Pembangkit tersebar, Rugi-rugi daya dan Profil tegangan
Memperbaiki Tegangan dan Rugi–rugi Daya pada Sistem Transmisi dengan Optimasi Penempatan Kapasitor menggunakan Algoritma Genetika Syukri Yunus; Heru Dibyo Laksono; Putri Nidya
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.843 KB) | DOI: 10.25077/jnte.v5n2.291.2016

Abstract

Electric power system is said to have a high degree of reliability if the system is able to provide a supply of electrical energy required by consumers continuously. Power loss that occurs in line resulting voltage drop on the line and cause a loss due to the decreasing reliability of the system to supply power to the load. To reduce the power loss in the line do installation of capacitors. Installation of capacitors conducted by calculating the position of the placement and size, so that placement of capacitors that do can be optimized to reduce losses that occur. Optimal methods are quite effective is algorithm genetics. In this method, capacitor placement is done with the chromosome leads to the selection obtained. The best results will be obtained from a chromosome that contains a condition that there is optimum placement of capacitors that can minimize power loss that occurs in the channel as well as minimize the amount of use of the capacitor. The comparison can be done by using Newton Raphson power flow between before and after forging capacitor.Keywords : Power losses, voltage, algorithm genetics, capacitors, chromosomeAbstrak— Suatu sistem tenaga listrik dikatakan memiliki tingkat keandalan yang tinggi apabila sistem tersebut mampu menyediakan pasokan energi listrik yang dibutuhkan oleh konsumen secara kontinyu. Rugi–rugi daya yang terjadi pada saluran mengakibatkan turunnya tegangan pada saluran dan menyebabkan kerugian karena semakin berkurangnya keandalan sistem dalam menyalurkan listrik ke beban. Untuk mengurangi terjadinya rugi–rugi daya pada saluran dilakukan pemasangan kapasitor. Pemasangan kapasitor dilakukan dengan memperhitungkan posisi penempatan serta ukurannya, agar penempatan kapasitor yang dilakukan dapat optimal dalam mengurangi rugi–rugi yang terjadi. Metode optimasi yang yang cukup efektif adalah algoritma genetika. Pada metode ini, penempatan kapasitor dilakukan dengan mengarah pada pemilihan kromosom yang diperoleh. Hasilnya akan diperoleh kromosom terbaik dari sebuah populasi yang ada yang berisi kondisi optimum penempatan kapasitor yang dapat memperkecil rugi–rugi daya yang terjadi pada saluran sekaligus meminimalisir banyaknya penggunaan kapasitor. Perbandingan yang bisa dilakukan dengan menggunakan aliran daya Newton-Raphson antara sebelum dan sesudah penempatan kapasitor.Kata Kunci : Rugi-rugi daya, Tegangan, Algoritma genetika, Kapasitor, Kromosom.
Studi Penempatan dan Kapasitas Pembangkit Tersebar terhadap Profil Tegangan dan Rugi Saluran pada Saluran Marapalam Syukri Yunus; Imbang Ismail
JURNAL NASIONAL TEKNIK ELEKTRO Vol 7, No 1: March 2018
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.867 KB) | DOI: 10.25077/jnte.v7n1.462.2018

Abstract

This study aims to reduce the power loss and increase the voltage profile based on optimal placement and DG capacity on feeder Marapalam. The applied methods are the Sensitivity analysis method with Loss Sensitivity Factor (LSF) and Voltage Sensitivity Index (VSI). The results of both methods are compared with trial and error method. DG can reduce power losses on the lines and DG placement must be appropriate to obtain minimal power loss. Using ETAP 12.6, the sensitivity of power losses and the sensitivity of network voltages of Marapalam distribution network are calculated. The optimal location on DG photovoltaic is on a 147B bus with a power injection of 75%, able to reduce active and reactive power losses from 35,792 kW and 57,363 kVar to 8,159kW and 13,079kVar. While the optimal location on DG wind turbine is on bus 293T with penetration of 45% of the power supplied to the Marapalam line, able to reduce the active and reactive power to 24,89kW and 39,9kVar.Keywords : Distributed Generator power loss, sensitivity analysisAbstrakPenelitian ini bertujuan untuk untuk mengurangi rugi daya dan meningkatkan profil tegangan berdasarkan penempatan dan kapasitas DG yang optimal di jaringan distribusi penyulang Marapalam. Metode yang digunakan adalah metode Sensitivity analisis dengan salah satu analisisnya adalah menggunakan Loss Sensitivity Factor (LSF) dan metode Voltage Sensitivity Index (VSI). Hasil kedua metode ini dibandingkan dengam metode trial and error. DG dapat mengurangi rugi daya pada saluran dan penempatan DG yang tepat untuk mendapatkan rugi daya yang minimal. ETAP 12.6 diaplikasikan untuk menghitung sensitivitas rugi daya, sensitivitas tegangan jaringan guna memperoleh penempatan DG yang optimal. Berdasarkan studi kasus jaringan distribusi penyulang marapalam, diperoleh lokasi optimal dari DG photovoltaic adalah pada bus 147B dengan injeksi daya sebesar 75%  daya yang disalurkan ke saluran Marapalam. Penempatan ini mampu mengurangi rugi daya aktif dan reaktif dari 35,792 kW dan 57,363 kVar menjadi 8,159kW dan 13,079kVar. Sedangkan lokasi yang optimal dari DG turbin angin adalah pada bus 293T dengan penetrasi 45% dari daya yang disalurkan ke saluran Marapalam mampu mengurangi rugi daya aktif dan reaktif menjadi 24,89kW dan 39,9kVar.Kata Kunci : Pembangkit Tersebar, rugi daya, analisa sensitivitas.
Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol Syukri Yunus; Hairul Abrar; Auliya Akbar
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.891 KB) | DOI: 10.25077/jnte.v10n3.927.2021

Abstract

The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1,  bio composite 2, and bio composite 3 were 29.742 kΩ and 1.178×10-3 S/cm, 20.338 kΩ and 1.692×10-3 S/cm, 34,572 kΩ and 0.9807×10-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.
The Study of the Effect of Capacity Increase and Photovoltaic Placement on Power Loss, Voltage Profile by Considering THDv Syukri Yunus; R.H. Sukma
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.381 KB) | DOI: 10.25077/ajeeet.v1i2.13

Abstract

The application of Photovoltaic (PV) is one solution to the increasing demand for electrical energy. However, the application of photovoltaic (PV) must be in the right location and capacity so that the power loss you want to reduce is large and the voltage profile is good. Photovoltaic (PV) generates DC voltage which is then required by an inverter to convert it to AC. The inverter is a non-linear load that produces harmonics. Harmonics in an electric power system can be known from Total Harmonic Distortion (THD). The purpose of this study is to determine the optimal location of placement (PV) and its maximum capacity so that the power loss is smaller. The resulting voltage and THD profile conform to the permitted standards. The methods used in determining the optimal location of photovoltaic (PV) are Loss Sensitivity Factor (LSF) and Voltage Sensitivity Index (VSI). ETAP 16 software is used for power and harmonic flow simulation. From this research, the most optimal photovoltaic (PV) placement is on bus 10 (bus 283 T) with a maximum capacity of 3255 kVA. This placement location provides minimal power loss and a good voltage profile taking into account the permitted standard THDv.
Optimal PV Placement to Reduce Power Loss and Improve Voltage in Distribution Network System Using K-means Clustering Method Syukri Yunus; Melda Latif; Darwison Darwison
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.686 KB) | DOI: 10.25077/ajeeet.v2i1.19

Abstract

Placing the PV in the right location will maintain the utility voltage, but if the placement of PV in the wrong location will cause the stability of the system to be affected. In this study, optimization of PV placement uses the K-means Clustering method. This method will group each node in the system from the point of view of operating characteristics LSF (loss sensitivity factor) and dV (voltage deviation). The results of grouping each bus with the K-means Clustering method will be the basis for determining the location of PV placement in the IEEE 37 and 69 bus distribution systems. In this method, grouping results are used based on the size of the proximity and have the same characteristics with each other. In determining the optimal location for PV placement, the addition of PV will reduce power losses and improve voltage. Optimal PV location placement in the IEEE 37 bus distribution system is placed on 3 buses with a power capacity of 60% where the value of power losses drops to 176.2 kW and the voltage profile is the best but there are some buses that are still under voltage and overvoltage. Meanwhile, the most optimal PV location for the IEEE 69 bus distribution system is placed on a 6 bus with a power capacity of 60% where the value of power losses drops to 149.5 kW and the voltage profile of each bus is in normal condition..
Co-Authors Abdul Rajab Abrar, Hairul Adrianti, Adrianti Akbar, Auliya AL Farizi Asrizal . Auliya Akbar Darwison, Darwison Fitrilina Fitrilina Hairul Abrar Imbang Ismail Ismail, Imbang Khalid Mohamed Nor Laksono, Heru Dibyo Melda Latif Mumuh Muharam Nasir, Muhammad Nidya, Putri Putri Nidya R.H. Sukma Syafii . Syafii Syafii