Bulletin of Multi-Disciplinary Science and Applied Technology
Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum Pendidikan dan Pembelajaran Bahasa Inggris
Articles
43 Documents
Penerapan Metode Ekstrapolasi Nonlinear Dan Algoritma Wiener Pada Citra Blur (Deblur)
Dicky Purba
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 4 (2022): Juni 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)
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Image processing is an image processing and analysis process that has a lot of visual perception that has the characteristics of input data and output information in the form of images. An unfavorable image can be caused by many factors, including lack of sharpening, blur, and so on. Poor image quality of course will affect the information contained in the image. This of course resulted in the delivery of information on the image is not effective. For this reason, image improvement is needed. In this study, the author will apply the technique of improving the blurred image using the Nonlinear Extrapolation method and the Wiener filter. At first, the blurred image will be sharpened by using the Nonlinear Extrapolation method. Then the sharpened image will be corrected by using the Wiener algorithm. From the results of the experiment using the Nonlinear Extrapolation method, a better image was obtained by increasing the sharpening based on the high frequency of the image, namely by adding sharpening to the initial image. Then the sharpened image is corrected using the Wiener algorithm which produces an output image by correcting the blur that exists in the image.
Relationship between Parenting Parenting and Smartphone Use for Elementary School Age Children During the Covid 19 Pandemic
Arif Rachman Putra;
Budi Handayani;
Didit Darmawan;
Eli Retnowati;
Ella Anastasya Sinambela;
Ernawati Ernawati;
Jahroni Jahroni;
Misbachul Munir;
Rahayu Mardikaningsih;
Tri Seno Anjanarko;
Utami Puji Lestari
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 4 (2022): Juni 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)
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Elementary school age children will experience very fast development. These developments are in the form of physical development and psychological development. Inappropriate use of smartphones in children will have a negative impact on children. In this case, parenting plays a very important role because the family is the first and foremost educational institution for children. From the family environment, especially parents, children will get a moral foundation, character and personality that will be applied now and in the future. The purpose of this study is to identify the relationship between parenting and smartphone use by involving correlation analysis as a statistical tool. The study was carried out during the Covid-19 pandemic in Balongbendo District in Jeruklegi Village. There were 30 elementary school age children who were observed by interviewing parents and giving questionnaires. Studies show that there is a positive and significant relationship between parental parenting and smartphone use. The family has an important role in the supervision and mental development of the child's personality. With good and proper care and supervision from parents, children will avoid the negative impacts of smartphone use.
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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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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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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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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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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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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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.
Sistem Pendeteksi Wajah Berjerawat Pada Citra Digital Menggunakan Metode Viola Jones
Windy Maulianda;
Achmad Fauzi;
Mili Alfhi Syari
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)
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The development of computer technology that is increasingly advanced and sophisticated, makes computer experts have the desire to create the latest software in computers. One of them is image data processing by utilizing digital image data processing that can be used in recognizing the shape of an object. Acne (acne vulgaris) is a disease caused by chronic inflammation of the pilosebaceous unit characterized by the formation of comedones, papules, pustules, nodules that can grow on the face, back, chest, arms, legs. Acne itself arises due to hormonal changes experienced by sufferers. To find out the acne can be seen directly or palpated on the face area. Improper handling of acne can harm facial skin and cause inflammation. It takes a system that can identify acne by applying image processing. The Viola Jones method is an object detection method that has a fairly high level of accuracy, which is about 93.7%
Pengembangan Sistem Pengamanan Jaringan Komputer Berdasarkan Analisis Forensik Jaringan (Studi Kasus : SMK Putra Anda Binjai)
Yuda Washita;
Akim MH Pardede;
Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)
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The server is something that needs more attention regarding the level of security. Servers that have vulnerabilities can be exploited by irresponsible parties. Data that should be personal can be misused by irresponsible parties. The administrator must ensure that the system is completely secure. One way to maintain server security is by detecting intrusions that are considered dangerous using the Intrusion Detection System (IDS). The intrusion detection system is built based on rules that have been stored in a database (signature-based). Snort is a software that functions to detect intrusions. Data packets passing through network traffic will be analyzed first. Data packets detected as intrusions will trigger an alert which is then stored in a log file. That way, administrators can find out what intrusions occur on the server. However, the administrator needs to analyze on the server computer. The existence of instant messaging applications can help administrators to get notifications in real time. One of them is using Telegram where administrators get brief information and documentation reports of intrusions on the server. Detected intrusions are not only stored in a log file, but can be viewed on the mobile interface via telegram notifications. By implementing IDS, the system can provide real time notifications through instant messaging applications as a solution to facilitate administrators in preventing attacks on the server so that the server remains protected from intrusion by irresponsible parties.