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All Journal Bulletin of Multi-Disciplinary Science and Applied Technology
Suci Ramadani
STMIK Kaputama, Binjai
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

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Identifikasi Tingkat Kepuasan Pengunjung Wisata Menggunakan Metode Naive Bayes Fisyanda Yusmalizar; Yani Maulita; Suci Ramadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

One way to implement development in all these fields is through development in the tourism sector, namely by developing and utilizing existing tourism resources and potential. To support government programs in developing tourist objects, especially in Bukit Lawang, it is necessary to pay attention to the level of satisfaction of tourist visitors visiting Bukit Lawang. To measure the level of satisfaction with tourist visitors, of course, parameters or assessment criteria will be used starting from road access to tourist attractions to cottage facilities. Measuring the level of satisfaction is usually done manually, namely by distributing or conducting surveys of visitors. If only questions are asked without any stored data, of course the Tourism Office will have difficulty measuring or evaluating the level of tourist visitor satisfaction, because it does not have sufficient data. For this reason, it is necessary to build a system that can assist the Langkat Regency Tourism Office in identifying the level of visitor satisfaction at Bukit Lawang. With this system, of course the Department will find it easier to evaluate and identify the level of visitor satisfaction quickly and precisely. So that all deficiencies to visitor satisfaction can be resolved quickly. To measure the level of satisfaction required a method that can measure the level of satisfaction precisely, one of the methods used is Naive Bayes. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. Based on the results of trials that have been carried out in this study, results are obtained based on the 20 data used with the results of 17 TRUE data and 3 FALSE data, with an accuracy value of 65%.
Diagnosa Penyakit Kanker Paru-Paru Pada Perokok Aktif Menggunakan Metode Certainty Factor (CF) Nana Elvana; Imran Lubis; Suci Ramadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Smoking habits or too often exposed to cigarette smoke are the main causes of lung cancer. Lung cancer is a primary malignant tumor of the lower respiratory system that is epithelial in nature and originates from the bronchial branching mucosa. the large number of active smokers is one of the causes of lung cancer. There are still many people who do not know about the early symptoms of lung cancer and are unsure whether it is lung cancer or other cancers. The lack of special facilities for lung cancer in Indonesia, which are still very limited, is another factor that causes the long process of treatment given to patients who may or do suffer from lung cancer. To be able to ensure a diagnosis of lung cancer or other diagnoses of diseases suffered, people with symptoms need to go to an expert or specialist in internal medicine for a consultation. However, experts who are not available, costs to consult with experts are also quite expensive and limited, which is another shortage factor. Based on the problems that occur, an expert system is needed that can store accurate information from an expert in diagnosing lung cancer in patients. The Certainty Factor method is a method that can be used in expert systems which is a combination of inference rules with a certain knowledge base given by one or more experts in a particular field. Certainty Factor uses a value to assume an expert's degree of confidence in a data. With the existence of an expert system, the public can consult without having to wait for the presence of a doctor. From the results of the trials conducted, it was found that the patient suffered from Non Small Call disease with a value of 98.53%.
Penentuan Calon Penerima Program Keluarga Harapan (PKH) Dengan Metode Analytical Hierarchy Process (AHP) Agi Kakana Bangun; Yani Maulita; Suci Ramadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Poverty is a situation where there is a lack of ordinary things to have such as food, clothing, shelter and drinking water. Poverty sometimes also means a lack of access to education and employment that can overcome the problem of poverty and gain the respect one deserves as a citizen. Poverty itself in developing countries is quite a complicated problem even though several developing countries have succeeded in implementing development in terms of production and national income. One of the government's social assistance-based programs is the Family Hope Program (PKH). To overcome the above problems, it is necessary to build a system that can make it easier for Kuala District, Langkat Regency to make decisions about recipients of PKH assistance. To support accuracy in building a decision-making system, a method is needed that is capable of making the right decisions based on predetermined criteria. In this research, the method used is AHP. Analytic Hierarchy Process (AHP) is a structured method for managing and analyzing complex decisions using mathematical and psychological concepts. The AHP method helps in determining the priority weight of each parameter that is taken into consideration in making decisions. Based on the value of importance of criteria and sub-criteria from 10 alternative data, the highest value was obtained, namely alternative recipient 8 with a system analysis value of 0.2105 with the income criterion of the head of the family being IDR. 2,657,000, Head of family's education is high school, well water source, home toilet, boarded house building, parent's house ownership status, number of dependents 3 people, number of dependents Education of children 3 people, owns a motorbike
Co-Authors Agi Kakana Bangun Fisyanda Yusmalizar Imran Lubis Nana Elvana Yani Maulita