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INDONESIA
Journal of Informatics, Electrical and Electronics Engineering
ISSN : -     EISSN : 28079507     DOI : https://doi.org/10.47065/jieee.v2i4
Fokus kajian Journal of Informatics, Electrical and Electronics Engineering, yaitu: 1. Control System, 2. Artificial Intelligence, 3. Informatics Engineering, 4. Electronics, 5. Advanced energy material, 6. Automatic power control, 7. Battery technology, 8. Distributed generation, 9. Distribution system, 10. Electric power generation, 11. Electric vehicle, 12. Electrical machine, 13. Energy optimization, 14. Energy conversion, 15. Energy efficiency, 16. Energy exploitation, 17. Energy exploration, 18. Energy management, 19. Energy mitigation, 20. Energy storage, 21. Energy system, 22. Fault diagnostics, 23. Green energy, 24. Green technology, 25. High voltage, 26. Insulation technology, 27. Intelligent power optimization, 28. Monitoring operation, 29. Motor drives, 30. Natural energy source, 31. Power control, 32. Power data transaction, 33. Power economic, 34. Power electronics, 35. Power engineering, 36. Power generation, 37. Power optimization, 38. Power quality, 39. Power system analysis, 40. Power system information, 41. Power system optimization, 42. Protection system, 43. Renewable energy, 44. SCADA, 45. Security operation, 46. Smart grid, 47. Stability system, 48. Storage system, and 49. Transmission system
Articles 7 Documents
Search results for , issue "Vol. 1 No. 1 (2021): September 2021" : 7 Documents clear
Prediksi Kebutuhan Energi Listrik Pada PT. PLN (Persero) Rayon Aek Nabara Dengan Metode Exponential Smoothing Sarah Syahputri; Sinar Sinurat; Imam Saputra
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Palm oil production with timely operations, low cost, specifications according to the order is the target of a company. PT. Inti Indosawit Subur is a company that produces fresh fruit bunches (FFB) in the form of palm oil. During its operation, this company wants maximum profit. In achieving this company goal always considers other policies such as maximizing the total product with limited raw materials, and minimizing production costs. In this case, companies often experience reduced production and have not or are not prepared to make preparations when faced with a reduced production period. To help problems faced by PT. Inti Indosawit is fertile in carrying out its business activities, a prediction is needed. The prediction in question is how much Crude Palm Oil (CPO) will be in the coming period. In order to simplify the calculation process and obtain more optimal results, the process of calculating the amount of CPO using the Moving Average Method is attempted to assist the management of PT. Inti Indosawit Subur in predicting the amount of Crude Palm Oil (CPO) so that it does not experience reduced or excessive production so that the company prepares faster actions to meet consumer demand. The application will provide the appropriate amount of CPO from each production process so that the company will be assisted in making service policies for consumers in every request.
Penerapan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto Dalam Menentukan Harga Mobil Bekas Siti Maryam; Efori Bu'ulolo; Edizal Hatmi
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The Mamdani method and the Tsukamoto method are the methods most frequently encountered when discussing fuzzy methodologies. In Tsukamoto's method, each consequent to the rule in the form of IFTHEN must be represented by a fuzzy set with a monotonous membership function as the result. Many problems can be solved by using these two methods, one of which helps in determining the price of a used car. The presence of cheap cars that are increasingly incessant also affects the business of selling used cars because people have perceptions and tend to trust the types and brands of cars that have been tested for durability. This condition is also a problem at CV. Citra Kencana Mobil to determine the price of used cars. The calculation results show that the fuzzy mamdani method estimates the price of used cars to be cheaper than the Tsukamoto method.
Perancangan Aplikasi Diagnosa Tromboflebitis Dengan Algoritma Sequential Minimal Optimization Siti Rohana Syahputri
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Expert system (Expert System) is a branch of artificial intelligence (Artificial Intelligence) that seeks to adopt human knowledge into computers designed to model problem-solving abilities like an expert. Expert systems act like experts in their fields containing facts and heuristics to solve certain problems. Expert systems are based on knowledge systems, allowing computers to draw conclusions from a set of existing rules. Maintaining health is an obligation that is often forgotten by humans so that disease grows in the human body. Thrombophlebitis is inflammation or swelling of the veins (veins) caused by blood clots that occur in the veins. Inflammation generally occurs in veins in the legs, although it does not rule out the veins of the hands or neck. To find reliable information on the diagnosis of thrombophlebitis requires an expert who is proficient in the field of thrombophlebitis diagnosis, but due to the limited working hours of an expert, thrombophlebitis diagnosis becomes a problem that prevents sufferers from obtaining information on thrombophlebitis diagnoses quickly and accurately. To solve these problems. To diagnose thrombophlebitis, it can be done using the SMO algorithm. The process is carried out by SMO to speed up the training process in diagnosing thrombophlebitis.
Penerapan Metode Tsukamoto (Logika Fuzzy) Dalam Sistem Pendukung Keputusan Untuk Menentukan Besarnya Gaji Karyawan Pada Hotel Grand Antares Kando Narodo Silaban
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Each company, agency, organization or business entity will provide a salary as compensation for the work of an employee, in addition to providing basic salary to its employees, each agency provides a bonus in addition to the basic salary to trigger the performance and work productivity of its employees. This is because an employee who receives the bonus must meet certain criteria relating to disciplinary working hours as determined by each agency or company. Data processing has actually been done since ancient times, it's just that the data processing itself is still very simple and can only solve problems such as very simple calculations. The Decision Support System (SPK) which was developed aims to determine the amount of employee salaries at the Grand Antares Hotel. SPK in this case uses Fuzzy Tsukamoto. The number of factors that drive employee salary determination based on position and demand becomes a consideration and constraints for decision makers in making policies to determine the amount of salary to be determined. These factors are: the maximum demand in a certain period and the minimum demand in a certain period.
Analisis Penerapan Metode Multivariate Analysis Of Covariance Dalam Jumlah Penumpang Mini Bus (Studi Kasus : CV. DR. Himpak Medan) Winarti
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

In the current era of globalization and rapid economic development, means of transportation and communication are quite important needs, especially long and short distance transportation which have contributed the most to the needs of the community and government. The company CV.DR.HIMPAK Medan was given the task and authority to provide public transportation services for passengers and is a transportation vehicle that is much needed by people from all walks of life. The problem that often occurs in the world of transportation is the frequent occurrence of spikes or increases in passengers that can occur at any time, especially on important days such as Eid. For this reason, this research will create a system to predict the number of passengers using the Multivariate Analysis of Covariance method, which aims to make it easier to predict the number of passengers. This system helps CV.DR Himpak Medan so there is no more accumulation of passengers. For this reason, this research will create a system to predict the number of passengers using the Multivariate Analysis of Covariance method, which aims to make it easier to predict the number of passengers. with this system helps the parties CV.DR.Himpak Medan so that there is no more accumulation of passengers.
Penerapan Data Mining Klasifikasi Pada Calon Pelanggan Baru Indihome dengan C.45 Arfandi Arfandi; Agus Perdana Windarto; Ilham Syahputra Saragih
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Indihome customers are people who are buyers of products that have been made and marketed by a company, where this person not only buys the product once but repeatedly. Meanwhile, Prospective Indihome customers are those who have not become your customers (buyers/service users) but are considered to have the opportunity to become customers in the near future or in the future. An algorithm is needed to classify indihome's new prospective customers so that there is no loss between the two parties. The C4.5 algorithm was chosen because it is able to classify new prospective customers of Indihome by using the rapid miner application and the calculation using Microsoft Excel. From the calculations using the two applications, the results obtained include: If Income <2000000 and Type of House = Contract, then the result is Not Eligible {Eligible = 0 and Not Eligible = 7}and the result is feasible, namely the rule If Employment = Self Employed and Income> 2000000 then the result is Eligible (Eligible = 54 and Not Eligible = 0)
Rekomendasi Pemilihan Peserta Lomba Kompetensi Siswa (LKS) Tingkat Kejuruan Dengan Teknik Promethee Andi Sahputra; Eka Irawan; Harly Okprana
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Participants in the student competency competition (LKS) of the RK Bintang Timur Pematangsiantar Private Vocational School were conducted manually by collecting students, counting and comparing with supporting data such as competency report cards by productive teachers. Therefore the RK Bintang Timur Pematangsiantar Private Vocational School needs to overcome problems in selecting students as participants in the student competency competition to be more effective and on target. The Promethee algorithm is used in order of order or priority in an efficient and simple multi-criteria analysis. Based on the research data sample, the highest score was obtained in alternative A1 with a value of 0.406 with 6 criteria, namely academic value, number of absences, student council scores, attitude, craft and tidiness. Then proceed to the matrix normalization process which produces the outflow, inflow and net flow values ??used in the ranking process

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