Journal of Informatics, Electrical and Electronics Engineering
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
72 Documents
<![CDATA[Prediksi Flight Delay Berbasis Algoritma Neural Network ]]>
<![CDATA[Valian Yoga Pudya Ardhana]]>;
<![CDATA[Muh. Yusuf Syam]]>;
<![CDATA[Eka Fitri Ramadani]]>;
<![CDATA[Eliyah A M Sampetoding]]>;
<![CDATA[Mohammad Syahril]]>;
<![CDATA[Esther Sanda Manapa]]>;
<![CDATA[Rahmat Mardzuki]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 1 (2022): September 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Pada penerbangan komersial salah satu masalahyang tidak dapat dihindari adalah keterlambatan penerbangan. Keterlambatan penerbangan (flight delay) adalah terjadinya perbedaan waktu antara waktu keberangkatan atau kedatangan yang dijadwalkan dengan realisasi waktu keberangkatan atau kedatangan. Dengan terjadinya keterlambatan penerbangan, maka secara langsung akan menyebabkan banyak kerugian. Pada penelitian ini dibangun sebuah model untuk memprediksi keterlambatan penerbangan yang akan terjadi kedepannya dengan menggunakan metode pengenalan pola yaitu neural network. Neural network atau biasa disebut juga jaringan syaraf tiruan adalah suatu metode komputasi yang meniru sistem jaringan syaraf biologi. Metode ini menggunakan elemen perhitungan non-linear dasar yang disebut neuran yang diorganisasikan sebagai jaringan yang saling berhubungan, sehingga mirip dengan jaringan saraf manusia. Dengan menerapkan model neural network pada data latih sebanyak 20 epichs dalam waktu 11 menit. Akurasi akhir dari data latih yaitu 81,89%, sementara akurasi pada data tes yaitu 81,59%.]]>
<![CDATA[Evaluasi Usability E-Learning Universitas Qamarul Huda Menggunakan System Usability Scale (SUS) ]]>
<![CDATA[Valian Yoga Pudya Ardhana]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 1 (2022): September 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[The need for e-learning to support the learning process in higher education is very high, not least at Qamarul Huda University. Qamarul Huda University's e-learning has been running but has not been evaluated and tested for its effectiveness, convenience and usefulness for users, in this case students. In this study, the quality of e-learning that will be measured by users, namely students from the University of Qamarul Huda, is based on measuring the quality of e-learning using the System Usability Scale (SUS). The usability evaluation of e-learning was carried out to collect opinions from different respondents regarding the usefulness of e-learning. In accordance with these problems, it is necessary to evaluate the usability of e-learning at Qamarul Huda University in order to determine the feasibility of the system whether e-learning is easy to use by students, how quickly students can easily understand and use e-learning, whether students still experience many problems or difficulties. in using e-learning. Based on the results of distributing questionnaires or questionnaires to 50 students where different study programs and classes as users of e-learning to get the level of student satisfaction with the e-learning system, it is obtained a score of 71.15 which is in the C grade category falls into the Acceptable range. . With this value, the Qamarul Huda University e-learning system is fairly good and feasible for students to use.]]>
<![CDATA[Rancang Bangun Pengontrolan Alat Elektronik Berbasis Internet of Things (IoT) ]]>
<![CDATA[Dedi Suarna]]>;
<![CDATA[Zahir Zainuddin]]>;
<![CDATA[Hazriani]]>;
<![CDATA[Edy Sopyan]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 3 (2023): Maret 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i4.682
<![CDATA[Electricity is one of the main needs that supports people in their activities, starting from studying, working, and even enjoying entertainment through electronic devices that use electricity. However, the use of electricity that is not turned on can result in wastage of electricity. One of the Regional Apparatus Organizations that has a large electricity consumption, namely the General Bureau of the Regional Secretariat of West Sulawesi Province, can be seen from the number of electricity bills paid each month. This study aims to monitor and control electricity consumption to minimize excessive use of electrical energy by utilizing microcontrollers and sensors. The research was carried out by testing stages in three work rooms, namely the personnel room, the mail room and the Urdal room. Electronic equipment that is monitored and controlled such as lights that are connected to an electric current (socket) on the designed device. The result is a range of 110 dejar pear motion sensors and a maximum range of 7 meters requiring a minimum of 2 sensors for each room and saving the energy consumption of electrical equipment in three rooms by 49%. The conclusion of this research is that the system is designed to provide a good path in saving the consumption of electronic equipment]]>
<![CDATA[Identifikasi Berita Hoax dengan Menerapkan Algoritma Text Mining ]]>
<![CDATA[Nitha Kumala Dewi]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 3 (2023): Maret 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i3.888
<![CDATA[News is new information or information about something that is currently happening, presented in the form of print media, broadcasts, social media or word of mouth to third parties or multiple people. The spread of this news is now very much happening both from social media or messages. However, the problem is that no one can guarantee the truth of the news received. Text mining is the application of data mining concepts and techniques to look for patterns in text, the process of analyzing text to find useful information for a particular purpose. Another definition related to text mining is that text mining is data mining in the form of text where the data source is usually obtained from documents and the goal is to find words that can represent the contents of the document so that an analysis of the connectivity between documents can be carried out. To make it easier to identify news hoax requires a text mining algorithm, using a text mining algorithm can be useful to get real news. Based on the calculations of the TF-IDF algorithm, it can be concluded that the similarity of the meaning of the news whose truth is not yet known is closest to the news ofmerahputih.com with a confidence level of 23.11%.]]>
<![CDATA[Sistem Pakar Deteksi Kerusakan Mesin Mistsubishi 6D16 Pada Kapal Nelayan Menggunakan Metode Teorema Bayes ]]>
<![CDATA[Fahry Muhammad Adid]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 3 (2023): Maret 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i3.889
<![CDATA[Damage to fishing boat engines occurs due to negligence in carrying out maintenance. We often see fishermen complaining, or the fishermen themselves have experienced confusion if the fishing boat they are using suddenly experiences an engine failure on the way to the sea. They can run ships, but many do not understand or do not know how to detect damage to ship engines early because they often ignore or underestimate the signs of damage to the ship. The knowledge system in this system can classify machine damage based on the symptoms experienced so that it can be concluded that the machine damage experienced by the user. Bayes' theorem is the method used by the author to solve problems in this expert system. This system will display questions where the questions are in accordance with the symptoms that have been input by the admin (expert) so that the results of calculations from these questions are obtained using the concept of probability or probability. In the system, login is only used by admins or experts where admins or experts can enter to edit data in the system]]>
<![CDATA[Analisis Kinerja Algoritma K-Nearest Neighbor Imputation (KNNI) Untuk Missing Value Pada Klasifikasi Data Mining ]]>
<![CDATA[Miraati Laia]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 3 (2023): Maret 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i3.891
<![CDATA[At this time many researchers use datasets for research, in the dataset there is a lot of important information provided to make it easier for researchers to process the data, but there are obstacles when trying to process the data, namely some data values are lost, or even damaged (incompatible) with other values. The number of attributes and data samples in the dataset is unlimited which makes it difficult for researchers to find important information based on the goals of each researcher. The missing or damaged values are known as missing values and this often happens when researchers process data taken from datasets. When researchers classify a dataset, of course it is difficult to classify because if there is missing data, the classification process cannot be carried out completely. Of course this will greatly affect the results obtained and also the results of the accuracy of the process. The problem of missing data (missing value) must be resolved, one way to solve this problem is by using the K-Nearest Neighbor Imputation (K-NNI) algorithm. The KNNI algorithm is one of the data mining algorithms that can restore the missing value problem by performing pattern recognition of the nearest data from the missing data. The final result after applying KNNI in fixing the missing value is to obtain a weight value for each K closest observation of 51.6161 on K5. Datasets that experience missing values have been adjusted based on the weight values and the implementation of the KNNI algorithm with the rapidminer application. By returning data using the KNNI algorithm, it is hoped that it can help solve these problems so that the results obtained from the classification process are more accurate and the results of greater accuracy]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Bahan Baku Kayu Terbaik Untuk Kitchen Set Dapur Minimalis Menerapkan Metode MABAC ]]>
<![CDATA[Wijaya Kusman Batee]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 3 (2023): Maret 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i3.894
<![CDATA[Minimalist Kitchen Set Kitchen has a very significant function in a home kitchen room as a place to store goods. Kitchen Set Minimalist kitchen made of wood prioritizes the best raw materials so that they can be used for a long time. The problem that occurs is that choosing the best wood raw material for a Minimalist Kitchen Set is not easy so that many mistakes occur in the selection to be immediately produced and marketed. In this study, to overcome the problem of choosing the best wood raw material for a Minimalist Kitchen Set, the researcher built a visual basic net-based decision support system applying the Multi-Attributive Border Approximation area Comparison (MABAC) method which can be used properly by the production manager of the Minimalist Kitchen Set before determine the raw materials to be used. The results of this study are that the procedure for selecting the best wood raw materials for a Minimalist Kitchen Set at Hazira Furniture Medan is carried out by a process that involves 5 criteria with different subjective weight values. The application of MABAC in selecting the best wood raw materials for a minimalist kitchen set made of wood provides an accuracy of 32.46%]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Ketua Organisasi BKM (Badan Keswadayaan Masyarakat) Menerapkan Metode MOORA ]]>
<![CDATA[Dira amalia]]>;
<![CDATA[Ade Irma Agustina Lubis]]>;
<![CDATA[Alwin Fau]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 4 (2023): Juni 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[The Organization of the Non-Governmental Organization (BKM) is an institution consisting of a group of citizens/communities who are natives of the kelurahan/village, an organization which is a form or a place for people to gather between one or more people who work together to achieve goals. a goal. What can determine the success or failure of an organization can be seen from its human resources. The Community Non-Governmental Organization (BKM) of the Al-Hidayah Mosque, which is located in the Marindal 1 Pasar 3 area, Deli Serdang Regency, North Sumatra. Where the non-governmental organization (BKM) has advantages in maintaining and caring for the Al-Hidayah Marindal 1 Pasar 3 mosque to keep it looking neat and clean, this study aims to build a decision support system (DSS). Which has a function as a tool for determining decision making in the process of selecting the Chairperson (BKM) of the Al-Hidayah Marindal 1 Pasar 3 mosque. This is also done with great attention to several aspects which are an important strategy that will be considered in the election of the chairman (BKM) of the mosque. Al-Hidayah marindal 1 market 3 absolutely and very much needed. The Moora method is one of the Multi-Criteria decision making (MCMD). A method that requires statistical procedures for the selection of the best given alternative. This method also produces a very suitable alternative by considering something good and profitable. The highest ranking result from this research is alternative A4 (Rudi Hartono]]>
<![CDATA[Sistem Pendukung Keputusan Penerapan Metode OCRA dalam Seleksi Penerima Bantuan Penduduk Miskin dengan Pembobotan ROC ]]>
<![CDATA[Bella Sentiani]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 4 (2023): Juni 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i4.905
<![CDATA[The research conducted was the selection of recipients of assistance to the poor in Perk Village. Old Country in the district. District Downstream Labuhan Batu, namely BLT-DD or Village Fund Direct Cash Assistance. The process of distributing aid to the poor is still done conventionally in the selection of recipients of assistance to the poor, so the process of distributing funds is very long. This study applies a Decision Support System (SPK) which is used as a system that can facilitate the selection process for recipients of assistance to the poor. In the selection process for recipients of assistance, the poor must meet 5 criteria, namely Chronic Disease, Income, Occupation, Number of Dependents, and House Status. Thus, a system that can make decisions is needed, namely SPK by applying the ROC and OCRA methods to get the weight value of each criterion and the preference value of the best alternative, namely alternative A4 on behalf of Suadi with a preference value of 1.3757]]>
<![CDATA[Pendekatan Violin Plot sebagai Pengenalan Pola untuk Interpretasi Data Penjualan Spare Part Komputer ]]>
<![CDATA[Furqoni Yudhistira]]>;
<![CDATA[Erlin Windia Ambarsari]]>;
<![CDATA[Frieyadie]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 4 (2023): Juni 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v2i4.925
<![CDATA[This study examines the use of visual modeling in understanding the sales patterns of computer spare parts at PT Prima Krida Solusindo. The use of violin plots serves as a method for data interpretation, focusing on the distribution of sales data to gain a deeper understanding of customer needs. This study involves 3893 samples with eight features being analyzed. Initial results show a broad variation in the sales of computer spare parts. For example, the highest unit sales occur in the first quarter, but the sales volume tends to be low. Opposite, sales in the second quarter tend to focus on purchases with a relatively similar volume. In addition, preferences for distribution channels, sales segmentation, sub-segmentation, and product types also vary in sales volume. While the violin plot aids in visualizing data distribution, this study also found that this method has limitations, such as category overlapping, that complicate interpretation. The inclusion of additional plots can facilitate a more detailed interpretation]]>
