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Sartika, Linda
Universitas Borneo Tarakan
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Social Sciences Other

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Pengaturan Kecepatan Motor Brushlless Direct Current (BLDC) Menggunakan Cuk Converter Berbasis Fuzzy Logic Controller abdul muis prasetia; Dody Asmara; Linda Sartika
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 3 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n3.2478

Abstract

Keuntungan seperti efisiensi tinggi, rasio inersia/torsi tinggi, jangkauan pengaturan kecepatan yang besar dan rendahnya electro magnetic interference (EMI) menjadi alasan motor brushless direct current (BLDC) menjadi pilihan yang tepat dalam banyak aplikasi di kehidupan sehari-hari. Motor BLDC terdiri dari 3 belitan fasa pada stator dan magnet permanen pada rotornya. Beberapa sistem penggerak yang menggunakan motor BLDC membutuhkan kecepatan motor yang konstan. Akan tetapi pada sistem penggerak tersebut ketika akan diberikan beban yang lebih maka kecepatan akan menurun. Oleh sebab itu dibutuhkan suatu pengaturan kecepatan motor agar kecepatan menjadi konstan walaupun diberi beban lebih. Banyak cara untuk mengatur kecepatan motor BLDC salah satunya adalah menggunakan cuk converter berbasis fuzzy logic controller. Pada tugas akhir ini pengaturan kecepatan motor BLDC menggunakan cuk converter berbasis fuzzy logic controller karena dapat menaikan dan menurunkan tegangan. Hasil keluaran tegangan output mempunyai polaritas berkebalikan dengan tegangan input. Cuk converter terdiri dari sumber tegangan arus searah atau direct current (DC). Perancangan struktur Fuzzy pada Matlab Simulink, dilakukan dengan melakukan perubahan nilai rentang dan bentuk dari fungsi keanggotaan yang di gunakan, baik masukan maupun keluaran. Pada simulasi yang telah dilakukan didapatkan kecepatan motor Brushless Direct Current ( BLDC) menggunakan cuk converter berbasis fuzzy logic controller pada kondisi tidak berbeban, menunjukkan respon dengan menghasilkan steady state yaitu 2000 rpm, rise time 0.01 s, settling time 0.011 s sedangkan saat diberi beban tidak ada perubahan yang signifikan dengan steady state sebesar 2000 rpm dan , rise time sebesar 0,01 s dan settling time sebesar 0,011s
Optimasi AVR Pada Generator Sinkron Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS) Abdul Muis Prasetia; Linda Sartika; Abdul Saad
MEDIA ELEKTRIKA Vol 16, No 2 (2023): MEDIA ELEKTRIKA
Publisher : PSTE UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/me.v16i2.12853

Abstract

Generator sinkron merupakan mesin-mesin listrik yang berfungsi untuk mengkonversi energi mekanik menjadi energi listrik. Sinkron generator mempunyai permasalahan yaitu ketidakstabilan tegangan pada perubahan saat beban, sehingga peralatan yang dibuthkan dapat mengendalikan stabilitas tegangan sinkron generator yaitu Automatic Voltage Regulator (AVR). AVR merupakan divais pengatur tegangan yang digunakan pada generator sinkron untuk menstabilkan tegangan keluaran yang dihasilkan dari generator sinkron. AVR bekerja dengan mengatur arus penguatan (excitacy) pada eksiter, apabila beban bertambah maka AVR akan memerintahkan eksiter untuk berkerja dengan menambah arus eksitasi sebaliknya apabila beban berkurang maka AVR akan memerintahkan eksiter untuk mengurangi arus eksitasi.Pada tugas akhir ini, untuk pengoptimalan tegangan generator sinkron agar konstan maka digunakan metode Adaptive Neuro Fuzzy Inference System (ANFIS). Adapun Traning data yang di gunakan, diproleh oleh Fuzzy Logic Control (FLC) pada penelitian sebelumnya mendesain sebagai acuan dalam pelatihan FIS menggunakan algoritma ANFIS. Kendali ANFIS bekerja dengan baik berdasarkan respon transien tegangan generator yang mengalami perubahan beban. Adapun hasil respon yang lebih baik dengan steady state 220,067 volt, relative optimal, settling time 6,65 s, overshoot 0,35% di bandingkan dengan kendali FLC pada penelitian sebelumnya diproleh respon dengan steady state 220,2 volt, settling time 7,75 s, dan overshoot 0,33%.Hasil yang diperoleh membuktikan bahwa kendali ANFIS sangat sesuai di gunakan dalam pengoptimalan tegangan generator sinkron tiga fasa.
Power Analysis of 3 Phase Induction Motor Drive Conveyor 06 at PT. Mitrabara Adiperdana: Analisis Daya Motor Induksi 3 Fasa Penggerak Conveyor 06 di PT. Mitrabara Adiperdana abdul muis prasetia; Linda Sartika; Hironimus
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 2 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n2.2587

Abstract

Conveyor belt is a material handling tool that is widely used in minning industry. The tool consists of belts or tires made of various types of materials that are resistant to the transportation of solid objects or coal. In order to drive the conveyor, a 3-phase induction motor is needed. PT. Mitrabara Adiperdana used induction motors on each conveyor including conveyor 06. With consumer demand, motors continue to operate to drive conveyors in transporting coal on stockpiles filling barges. The number of berges filled makes the motor continue to operate to move the conveyor for up to one full day. Therefor, it is necessary to analyze the power of consumption and performance level of the motor on conveyor 06, because if there is demage to the motor, the production process on conveyor will be hampered. From the primary data obtained in the field by making direct measurements and obtained the calculation results, the power value is 35.058 Kw when the conveyor is not loaded and 81.80 kw when the conveyor is loaded. With the result of power used when loaded, the calculation of efficiency is 69,45%. Whith this value, the conveyor motor 06 operates less effectively. It is stated be effective when the efficiency value is between 80% and 100% of the effeciency value on motor rating rate.
Design of Thermoelectric-Based Salinity and Temperature Control for Nomei Fish Prasetia, Abdul Muis; Sartika, Linda; Setiyawan, Muhammad Dicky; Salim, Gazali
Jurnal Edukasi Elektro Vol. 8 No. 1 (2024): Jurnal Edukasi Elektro, Volume 8, No. 1, Mei 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i1.66408

Abstract

Nomei fish (Harpodon nehereus) are creatures commonly found under layers of mud or fine sand along the coast. They cannot survive in waters with extreme salinity and temperature. When daylight comes and the air temperature rises, the temperature inside the fishpond also tends to rise, while when night falls, the water in the pond becomes colder. Extreme temperature changes, both high and low, can make these fish susceptible to disease and impact their ability to feed and immune system. This research is developmental research as the objective is to test the control of salinity and temperature in Nomei fishponds. To achieve this goal, a system has been developed. The system uses two sensors, namely a conductivity sensor that serves to measure the level of water salinity and sends data to the Arduino device to set the pump based on an average of about 17 ppm. In addition, there is also a temperature sensor that measures the water temperature in the pool and sends data to the Arduino device to adjust the heater and thermoelectric based on the average temperature between 28.5°C and 31.5°C, to maintain stable water quality. The results of this study show that the developed system successfully maintains and controls the salinity and temperature in the Nomei fishpond in accordance with the predetermined set points.
The Design and Development Of Pond Water Quality Control Using pH Booster In Domestication Of Nomei Fish (Harpodon nehereus) Prasetia, Abdul Muis; Sartika, Linda; Rasmin, Rasmin
Jurnal Teknologi Elektro Vol 23 No 1 (2024): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2024.v23i01.P14

Abstract

Nomei (Harpodon nehereus) is a special fish and one of the characteristic of the city of Tarakan, because it belongs to an endemic animal which is only found in coastal areas which is precisely in Juata laut water. The nutritional and protein content found in nomei fish is fery high so it is much favored by the people of Tarakan. Preventing the decline in the population level of nomei fish due to continuous fishing by fisherman so that sustainable and synergistic cultivation is needed by means of domestication. To support nomei fish domestication activities, it is carried out by implementing pond water quality control by considering two measurable parameters, namely water salinity and pH using a microcontroller as a pond water quality controller. The results of controlling the up to dwon pond water salinity decreased by 3.0316% and the down to up pond water salinity increased in salinity value by 8.18382%. for controlling the pH of pond water, the system worked very well and was able to maintain the pH value at a predetermined set point at 1:08:00 AM, 2:08:00 AM, 3:06:00 AM, 4:33:00 AM, 6:37:00 AM, 7:13:00 AM, and 3:01:00 PM with pH value between 7.5 – 8.5. The recommendation from this study indicated that the water quality control system that had been created was able to maintain and control salinity nomei fish pond according to the given set point value. Keywords: Nomei fish (Harpodon nehereus); Domestification; Control; Salinity; pH; Microcontroller.
ANALISA PENGARUH PERUBAHAN BEBAN TERHADAP KINERJA MOTOR INDUKSI 3 FASA SCRAPER CONVEYORDI PT. CITRA SIWIT LESTARI Sartika, Linda; prasetia, abdul muis; Nicholas, ishak Edison Nanda
Jurnal Elektro dan Telekomunikasi Terapan (e-Journal) Vol 10 No 1 (2023): JETT Juli 2023
Publisher : Direktorat Penelitian dan Pengabdian Masyarakat, Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jett.v10i1.5999

Abstract

An organization or sector now needs to own a three-phase induction generator. The condition in which the factory was in operation forced the 3-phase scraper conveyor induction motor at PT Citra Sawit Lestari to continue to move the palm oil that is transported from the truck to the thresher. This process continues as long as the factory operates Under these conditions the load obtained by the 3-phase scraper conveyor induction motor affects the condition and performance of the induction motor This research was conducted on a 3-phase scraper conveyor induction motor using a quantitative approach that allowed the company to find out the causes of the reduced performance of 3-phase induction motors and find out the actions that must be taken so that the performance of 3-phase induction motors remains optimal Based on this research, it was concluded that changes in load could affect the performance of a 3-phase induction motor and the MAPE value of motor torque was 0.038%, motor power is 0.0008%, and rotational speed is 0.025%. With an average MAPE percentage value of less than 10%, this indicated that the performance of the 3-phase induction motor was still very good.
Analysis Of The Effect Of Loading On Parallel Generator Work At PT. Mitrabara Adiperdana Tbk Sartika, Linda; Prasetia, Abdul Muis; Mado, Ismit; Fidarwati
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 7 No 2 (2023): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v7i2.1673

Abstract

Genset is a combination of two different devices: the engine as a rotating device and the generator as a generating device. Genset at PT. Mitrabara Adiperdana. Tbk is used as a backup when the electricity source from PLN goes out. Due to fluctuating loads, an ample power supply is needed when the conveyor is operating, so more than one generator is needed to supply electricity according to load demand. To meet the power needs at PT. Mitrabara Adiperdana. Tbk, 2 gensets with a capacity of 500 kVA and 3 gensets with a capacity of 800 kVA were synchronize. Generator synchronization aims to obtain optimal power, good efficiency and efficient specific fuel consumtion (SFC). When 5 generator units were paralleled, the lowest efficiency was 19.2% with an SFC of 0.48 liters/kWh in September with a capacity of 800 kVA, while the highest efficiency was 62.98% with an SFC of 0.15 liters/kWh in July with a capacity of 800 kVA. The calculation result, when given the same loading, obtained the lowest efficiency of 1% with an SFC of 9.3 liters/kWh in August with a capacity of 500 kVA and the highest efficiency of 51.45% with an SFC of 0.18 liters/kWh in August with a capacity og 800 kVA. The calculation result show that the efficiency is affected by the amount of output power, the difference in the initial year of operation, anf the difference in several parameters of the nmaplate. Meanwhile, the generator’s Specific Fuel Consumtion (SFC) is influenced by the output and hours meter.
Analisis keandalan sistem trafo step down menggunakan metode logika fuzzy Emirwati, Andie; Sartika, Linda; Prasetia, Abdul Muis
JURNAL ELTEK Vol. 21 No. 2 (2023): Oktober 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v21i2.3671

Abstract

Trasformator step down adalah sebuah perangkat elektronik yang memiliki fungsi utama untuk menurunkan tegangan listrik ke level yang lebih rendah. Data yang digunakan dalam analisis ini berasal dari hasil pengukuran di PT. PLN Tarakan yang dilakukan selama beberapa bulan pada tahun 2021, diantaranya bulan Januari, Februari, Agustus, dan September. Data pengukuran ini kemudian diolah dengan menggunakan metode fuzzy untuk mencapai keseimbangan yang diinginkan. Menurut standar Std.446-1980, keseimbangan beban yang diharapkan berkisar antara 5 hingga 20%. Sebelum menerapkan metode fuzzy Mamdani, hasil analisis menunjukkan bahwa pada bulan Februari, transformator YDS 191 memiliki ketidakseimbangan arus beban tertinggi yaitu 46,1%, sedangkan transformator SLM 377 memiliki tingkat ketidakseimbangan terendah yaitu 20,7%. Namun, setelah menerapkan metode Fuzzy Mamdani, hasil analisis menunjukkan perbaikan yang signifikan. Ketidakseimbangan arus beban tertinggi yang tercatat adalah 17% pada transformator YDS 083 di bulan Agustus, sedangkan transformator SLM 241 di bulan Februari mencapai ketidakseimbangan sebesar 2,6%. Hasil ini menunjukkan bahwa penerapan logika fuzzy Mamdani efektif dalam mengurangi ketidakseimbangan arus beban. Hasil ini memberikan bukti yang kuat bahwa penggunaan metode Fuzzy Logic dengan FIS Mamdani mampu menurunkan ketidakseimbangan arus beban hingga di bawah batas maksimum yang ditetapkan oleh Standar PLN Nomor 1 Tahun 1995, yaitu sebesar 20%. ABSTRACT Step down transformer is an electronic device that has the main function to reduce the voltage to a lower level. The data used in this analysis comes from the measurement results at PT PLN Tarakan which were carried out for several months in 2021, including January, February, August and September. This measurement data is then processed using fuzzy methods to achieve the desired balance. According to the Std.446-1980 standard, the expected load balance ranges from 5 to 20%. Before applying the Mamdani fuzzy method, the analysis results showed that in February, transformer YDS 191 had the highest load current imbalance of 46.1%, while transformer SLM 377 had the lowest imbalance level of 20.7%. However, after applying the Fuzzy Mamdani method, the analysis results showed significant improvements. The highest load current unbalance recorded was 17% at transformer YDS 083 in August, while transformer SLM 241 in February achieved an unbalance of 2.6%. These results show that the application of Mamdani fuzzy logic is effective in reducing load current imbalance. These results provide strong evidence that the use of the Fuzzy Logic method with FIS Mamdani is able to reduce the load current imbalance to below the maximum limit set by PLN Standard Number 1 of 1995, which is 20%.
Kontrol tegangan pada terminal generator menggunakan AVR berbasis neural network Sartika, Linda; Prasetia, Abdul Muis; Ramadhan Sudirman, Fitri
JURNAL ELTEK Vol. 22 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v22i1.4693

Abstract

Generator sinkron mempunyai permasalahan yaitu Ketidak stabilan tegangan pada generator sinkron menyebabkan sistem secara keseluruhan terutama kualitas sistem, kemampuan transfer daya dari pembangkit ke konsumen, kondisi terparah terjadinya mekanisme pelepasan beban dengan demikian maka diperlukan peralatan yang dapat mengendalikan kestabilan tegangan generator sinkron yaitu Automatic Voltage Regulator (AVR).  AVR adalah suatu perangkat yang dipasang pada generator yang dapat bekerja secara otomatis mengatur tegangan yang dihasilkan oleh generator agar tetap stabil. Penelitian ini mengontrol tegangan generator agar stabil menggunakan metode Neural Network (NN). Data penelitian NN diambil dari input dan output kendali PID dengan Sistem AVR yang sama. AVR sederhana dengan respon delay time  rise time , peak time  settling time , max overshoot dan untuk error steady state . AVR sederhana respon tidak terdapat overshoot dan respon waktunya lebih lambat 5,039s, konvensional terdapat overshoot yang tinggi dan lebih cepat 0,715s, NN respon yang didapatkan overshoot pada waktu 2,456s dan adanya usaha perbaikan respon tegangan kembali ke Vref   ABSTRACT Synchronous generators have problems with the instability of the voltage, causing the system as a whole, especially the quality of the system and the ability to transfer power from the generator to the consumer, the worst condition is load shedding. Therefore, equipment is required to control the voltage stability of the synchronous generator with the automatic voltage regulator (AVR). AVR is installed on a generator to work automatically to regulate the voltage so that is remains stable. The generator voltage can be stably controlled using the neural network (NN) method. NN training data is obtained from the input and output of PID control with the exact AVR system. Simple AVR with response delay time  rise time , peak time  settling time  max overshoot and error steady state . Simple AVR response has no overshoot, and the response time is slower at 5,039s, conventional has a high overshoot and is faster at 0,715s. NN response obtains overshoot at 2,456s, and there is an effort to improve the voltage response to Vref.
Evaluation of 20 KV Distribution System Using SAIDI and SAIFI Reliability Indices at PT PLN Prasetia, Abdul Muis; Linda Sartika; Al Amin Hanifa Muslim
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i2.2482

Abstract

Currently, power outages in Tarakan City are still frequent, both planned and due to disturbances such as fallen trees, lightning strikes or damage to the distribution equipment itself. PT PLN (Persero) Tarakan continues to make improvements to improve the reliability of the distribution system in Tarakan City using standard values, the reliability index for duration of disturbance (SAIDI) and the number of blackouts (SAIFI) so that the distribution of electrical energy continues to be channeled to customers. SAIDI and SAIFI values will be calculated every month to find out corrective actions against disturbances or damage that occur. Reliability is a benchmark value to see the reliability of the distribution system. The reliability index of SAIDI and SAIFI of PT. PLN (Persero) Tarakan in 2020 was 2.81 hours/plg/month and 2.55 times/plg/month. In 2021, SAIDI and SAIFI received 1.72 hours/plg/month and 2.45 times/plg/month. Based on the reliability index, PT PLN (Persero) Tarakan is categorized as reliable because the SAIDI and SAIFI values obtained do not exceed the existing standard values based on SPLN 68-2: 1986
Co-Authors Abdul Muis Prasetia, Abdul Muis Abdul Saad Abil Huda Achmad Budiman Agang, Mohammad Wahyu Akbar, Muhammad Allriz Al Amin Hanifa Muslim Al Ma'ruf Ariel E San Jose Boby Setiawan Budiman, Achmad Danny Arans Sevri Andika Dody Asmara Emirwati, Andie Ferdiayansyah, Ferdiayansyah Fidarwati Fitri Handayani Fitriani Fitriani Fitriani Said Gazali Salim Hasdiah, Miftahulhuda Primananda Hidaya, Nurman Hironimus Huda, Abil Ifansyah, Nur ishak Edison Nanda Nicholas Ismit Mado Julian Ransangan Mado, Ismit Muhammad Deval Efendi Muhammad Yunus Muis Prasetia, Abdul Mujiyanto Mujiyanto Mukhlis Nur Nicholas, ishak Edison Nanda Noviyansyah, Tri Novtandy, Tegar Nur Faizah Nurdamayanti, Nurdamayanti Nurholifah, Siti Patria Julianto Rahma Nur Amalia Ramadhan Sudirman, Fitri Ramadhani, Alfian Rasmin Rasmin Rasmin, Rasmin Retno Hartati Riska, Ade Rizky Ramadhan Rozi Said, Fitriani Samanta, Rizal Sanjaya, Dhani Sari, Lela Nofita Satria, Adjie Sejati, joko Selama, Selama SETIAWAN, Ahmad Setiyawan, Muhammad Dicky Siti Nurholifah Sitti Hartinah DS Soba, Andi Dian Lasarasi Sugeng Riyanto Sugeng Riyanto Sukma Sukma suriadi suriadi Syahfrizal Tahcfulloh Syamri, Mohammad Syarif, Iif Ahmad Temu, Natalis Laga Suban Tirvan Totok Hariyanto Tri Widodo Vebryan, Ebiet Virgasha, Megasyafira Fajra