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Bulletin of Multi-Disciplinary Science and Applied Technology
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 28096096     DOI : -
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other
Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum Pendidikan dan Pembelajaran Bahasa Inggris
Arjuna Subject : Umum - Umum
Articles 6 Documents
 1 
Search results for , issue "Vol 1 No 5 (2022): Agustus 2022" : 6 Documents clear
Sistem Pakar Diagnosa Penyakit Kelapa Sawit Dengan Menggunakan Metode Certainty Factor Hidayatullah Hidayatullah; Budi Serasi Ginting; Achmad Fauzi
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Computer development is very important in information notification and data processing, computer development can also play a role in analyzing the symptoms of problems that occur. Oil palm plantations are currently growing in Indonesia and almost all of oil palm is grown throughout the archipelago. Oil palm plants are very beneficial for humans because oil palm fruit as a palm oil-producing plant and palm kernel is one of the prima donna of plantation crops which is a source of non-oil and gas foreign exchange for Indonesia. Because of the importance of oil palm resulting in increased production. However, there is an imbalance in the production of oil palm fruit due to the lack of understanding of the farmers to overcome the diseases that attack oil palm plants. It takes an expert system that will incorporate all expert knowledge in a system so that it can diagnose diseases in oil palm anytime and anywhere. The Certainty factor (CF) method is a method to prove whether a fact is certain or uncertain in the form of a metric that is usually used in expert systems. This method is very suitable for expert systems that diagnose something that is not certain. Based on the results of the CF calculation, the highest value was in the type of palm root rot disease with a value of 97.29%. From the results obtained, the system diagnoses the oil palm tree diagnosed with palm root rot disease.
Penerapan Machine Learning Untuk Klasifikasi Tingkat Kematangan Buah Anggur (Vitis) Dengan Metode K-Nearest Neighbor Sri Melisa; Achmad Fauzi; Yusfrizal Yusfrizal
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Grapes are fruit plants in the form of vines belonging to the Vitaceae family that can be eaten directly or processed into drinks and food. Grapes have color characteristics to determine the level of ripeness of fruit correctly. Determination of ripeness of grapes is usually done directly by looking at the color of ripeness of the fruit grapes that can be seen from the color red if it is ripe and green if it is not ripe. And this could be a mistake in classifying and determining the level of fruit maturity. Classification is a way of grouping objects based on the characteristics possessed by the object of classification. Classification is carried out by computers using the methods used to classify. K-nearest neighbor is a method that can be used in classification and is a machine learning algorithm with a supervised learning approach that works by classifying new data using the similarity between new data and a number of data (k) at the closest available location. KNN algorithm is used for classification and regression. By using the majority category, the classification results from the three best data can be labeled as targets according to the initial dataset. The best data is data to 2, 3, 10 of these data, there are 1 category of immature and 2 ripe, so that the majority of the classification results are ripe grapes. So the classification results for test image data 11 are grapes included in the ripe classification category.
Sistem Pakar Diagnosa Tingkat Depresi Mahasiswa Tingkat Akhir Dengan Menggunakan Metode Certainty Factor Nisrina Naufalia Santoso; Yani Maulita; Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Changes in the learning environment can affect students' mental health so that students adapt forcefully. It is not only intelligence that determines success in learning, but peace of mind which also greatly influences the ability to use this intelligence. Mental health disorders or depression are more difficult to recognize and feel than physical health, resulting in a lack of awareness about mental health. An expert system is a branch of artificial intelligence that tries to imitate the reasoning process of an expert in solving problems. Where the expertise of this expert will make it easier for students to know the level of depression experienced and help find the right solution or treatment. Certainty Factor is one of the methods of an expert system that can see whether a fact is certain or uncertain and can provide accurate results obtained from the calculation of the weight of symptoms selected by experts and is able to provide answers to problems with uncertain results. Based on the results of the CF calculation, the highest value is in the type of major depression with a value of 0.721472 or 72.1472%. From the results obtained, the system identifies that the student has a type of severe depression. And the solution that can be done is to need special treatment for psychiatric problems.
Pengecekan Bit Error Pada Media Transmisi Pengiriman Gambar Menggunakan Metode Hamming Code Deli Alvinda; Achmad Fauzi; Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

The successful delivery of information from the sender (transmitter) to the receiver (receiver) is one thing that is very important in determining the reliability of a communication system. In the world of communication, both communication using cables or using air as a transmission medium will inevitably experience disturbances in the communication process caused by a disturbance called noise. Noise is an unwanted electrical signal. The addition of this unwanted signal in a communication process is a major limiting factor in data communication systems. In the process of data communication, the possibility of data errors received can occur because the data becomes an error and must be re-sent. Hamming code is an error detection method that is able to detect several errors, but is only able to correct one error (single error correction). This error detection method is very suitable for use in situations where there are several random errors.
Sistem Pendukung Keputusan Penerimaan Official Atlet Pencak Silat Menerapkan Metode OCRA Fadila Pratiwi
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Official athletes have an important role for an athlete, because the official athlete has the task of preparing all the needs of an athlete both before and after the match is over. With so many duties and responsibilities of an official, an athlete must have a professional official to ensure that all these duties and responsibilities can be carried out. To get a professional official, in the process of selecting new official admissions, you must select prospective applicants objectively so that you will get official results that match the desired criteria. In the official acceptance of pencak silat athletes, there are several problems, namely because of the large number of potential applicants so that they spend quite a long time in the selection. The next problem is that in the selection there are many frauds such as abuse of authority so that they do not get results that are not in accordance with the desired criteria. Therefore, a decision support system (SPK) with the OCRA method is needed which is expected to be able to overcome the problems that occur in the acceptance of official pencak silat athletes. The OCRA method is one of the methods of a decision support system, where this method makes decisions by ranking from the smallest to the largest value. With this system, it is expected to be able to obtain an optimal decision system in the process of receiving official pencak silat athletes.Official Athlete
Pengelompokan Data Pasien Test Urine Dengan Metode Clustering Pada Kantor Badan Narkotika Nasional Kota Binjai Ricky Syahbana Sitepu
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Data Mining is a data processing technique by digging various information from a set of stored data. Urine test is a means to determine whether or not a patient is related to narcotic abuse. The National Narcotics Agency (BNN) of Binjai City is an Indonesian non-ministerial government agency (LPNK) that has duties in the fields of prevention, eradication of abuse and illicit trafficking, psychotropic substances, precursors, and other addictive substances except for tobacco and alcohol addicts. The writing of this report uses the clustering method which is one of the data mining techniques for grouping data on the Urine Test Patient at the Binjai City BNN Office. By using the k-means algorithm clustering method. By applying 20 alternative data for urine test patients and giving the number of clusters as many as 3, and utilizing the 3 main criteria as research in this report, the number of cluster 1 is 5 data, cluster 2 is 9 data. And cluster 3 of 6 data. This urine test patient data grouping system is designed with the MATLAB application programming language.

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