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Penentuan Siswa SMK Kimia Analisa Terbaik Yang Akan Dikirim Mengikuti Olimpiade Kimia Tingkat Nasional Menerapkan Metode Entropy dan MOORA Yendrizal, Yendrizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2350

SMK Chemistry Analysis is a special and concentrated junior high school in matters related to chemistry, chemistry is very important in human life because every element on earth contains chemicals so chemistry is a department that is very much in demand by many circles, both industrial and non-industrial, so that many students, especially those majoring in Chemistry Analysis, want to do their best to prove their ability in the lessons they persevere by taking part in the Olympics, the Olympics that are followed are usually at the national level between SMK / SMA students and the equivalent which will later become an honor If you can win the chemistry Olympiad, to win an Olympiad it takes students who are really able to take part in competitions, of course schools need to make a selection first in order to get students who really excel and deserve to take part in the Olympics, in the selection it must be done. Do it systematically in order to produce fairness in student selection and minimize failures in participating in the national level chemistry Olympiad, namely by using a decision support system by applying the MOORA method which previously used the entropy method in obtaining subjective weights that will be used in calculating all aspects of decision support

Data Mining Penjualan Tanaman Hias dengan Algoritma APRIORI Pada Toko Flores Elishabet Yendrizal, Yendrizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2110

The application of data mining is very useful in the sale of ornamental plants and can affect the ups and downs of the sales turnover of ornamental plants, the many types of ornamental plants and types of flowers and their different names make people interested in ornamental plants confused in the search for ornamental plants to be purchased. The higher interest in purchasing ornamental plants makes the amount of data and information that needs to be known and explored efforts to find out which type of ornamental plant that has a lot of interest, usually people not only buy one type of ornamental plant, but there are also other types of ornamental plants that are also purchased. Apriori algorithm is an algorithm in data retrieval using association rules that aim to determine the associative relationship of a combination of items, data mining itself is a way of computerization in marketing strategies

Application of the C4.5 Algorithm Determination of Depreciation Classification Volume of Fertilizer on Storage Warehouse Y Yendrizal
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i3.142

The problems faced by the fertilizer warehouse PT. Iskandar Muda currently shrinking the volume of fertilizer for storage in warehouses, which is often reduced, is not yet known by the management. In reducing the volume of this fertilizer, the author wants to apply the C4.5 Algorithm to help in making decisions. From all the existing data will be classified and predicted, from the classification results will present the rules. So that it can be easily understood in natural language. Based on the application of the C4.5 Algorithm in the classification technique of fertilizer volume shrinkage on storage in the warehouse at the Pupuk Iskandar Muda warehouse, the results of this study show that 1) the C4.5 algorithm with the decision tree method can provide executive information and the system is used to describe processes related to depreciation classification. 2) The C4.5 algorithm is considered as an algorithm that is very helpful in classifying data because the characteristics of the classified data can be obtained clearly, both in the form of a decision tree structure and rules or rule-if-then. 3) Form a decision tree in providing recommendations for decision making.

Sistem Pakar Dalam Diagnosa Penyakit Kanker Rahim Menggunakan Metode Naïve Bayes dan Certainty Factor Yendrizal Yendrizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2669

The uterus is one of the reproductive organs, namely the mouth of the uterus which is very susceptible to cancer and very often women experience cancer due to a lack of health care. suffered by women in the uterus can be like cysts, cervical cancer, uterine cancer, vaginal cancer and others, cancer is also very difficult to cure so that patients eventually have to give up and face death. From this it is necessary to make a diagnosis from the beginning in order to minimize the number of deaths caused by cervical cancer which is faced by many women in the world, especially in Indonesia, in diagnosing this disease can use a computer system in collaboration with experts to produce a system called the system. experts as an effort to help solve problems that occur with uterine disease that is being experienced by some women. The results of this study will show the percentage level of disease experienced by patients by 88% with the help of implementing the naïve Bayes method and certainty factory

Application of Artificial Intelligence on Puzzle-8 Using Steepest Ascent Hill Climbing Algorithm Y Yendrizal
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The Steepest-Ascent Hill Climbing algorithm is part of the implementation of artificial intelligence. To solve the case problem in Puzzle 8, an algorithm is needed to obtain the final result. Problems that often occur in this algorithm include, 1. the state of all adjacent boxes is worse or equal to its own state, 2. the state of all adjacent cities is the same as its own state, 3. local optimum which is due to the inability to use all operators at once. The way the Ascent Hill Climbing algorithm works is to start with the initial state, perform the test, if it is a goal then stop, and if not, continue with the current state as the initial state. The final result of this research is that there are 5 incorrect positions, after the completion process there are 8 correct puzzle positions according to the final state. Thus the test is stopped because it has obtained the final state.

Implementation of A Decision Making System of Giving Bonus To Employees Using Fuzzy Logic Method Y Yendrizal
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Each company has its own standards in giving bonuses to outstanding employees in accordance with the company's rules. So we need a system that is able to solve the problem so that the bonus is given according to the performance of each employee. The problem that often occurs today is in the form of a lack of user knowledge in providing bonuses according to employee performance, so that this research can be used as a reference in giving bonuses to each employee according to performance. The solution for giving this bonus uses a decision-making system using Sugeno's Fuzzy Logic. The Sugeno method is to determine the input variable and the output variable which is a firm set, the second step is to change the input variable to a fuzzy set with a fuzzification process, then the third step is to process the fuzzy set data with the minimum method. And the last or fourth step is to change the output into a firm set with a defuzzification process using the centroid method, so that the desired result will be obtained on the output variable. Solving production problems using a comparison of the Sugeno and Mamdani methods. This method uses constants or mathematical functions of the input variables, and in the defuzzification process uses the centralized average method.

Distribusi Produk Menggunakan Metode Travelling Salesman Problem (TSP) Dengan Konsep Algoritma Heuristik Yendrizal, Y
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.407

Searching for solutions in determining the shortest route in product distribution is often found in everyday life. Solutions to solve problems can be designed in the form of diagrams consisting of lines and central points. Examples include finding the shortest route (Traveling salesman problem (TSP). The concept of the Traveling Salesman Problem (TSP) is a classic problem of finding the shortest route that a salesman can take when want to visit several cities without having to visit the same city more than once. The problem that often occurs is that the delivery of goods must be on time to the destination, however, because the locations to be addressed are so many and spread across each region, it makes it very difficult for distributors to deliver. goods according to the specified time, the research objective is expected to be able to help distributors in finding the smallest route for delivering goods both in terms of time and saving gasoline, providing distribution route solution options that can minimize delays in goods delivery and optimize human resource transportation facilities. The Heuristic Algorithm produces the best solution to problems which are part of a more complex problem where delivery of orders from distributors to consumers is maximized. The final result of the TSP process is 240 CBDA=240. This method can help in finding the smallest route solution in distributing goods so that it can be used as a reference to get the best results

Implementasi JST Pada Keamanan Data Smartphone menggunakan metode metode Bidirectional associative memory BAM Yendrizal, Yendrizal
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.3058

The development of smartphone technology is currently increasing from year to year, this can be seen from the many outputs of smartphone technology circulating in the market. Smartphones are now a primary need for carrying out daily life. Smartphones are used not only for communication but also for data storage. The research problem often occurs when data is stolen from smartphones from criminal acts. The purpose of this study is pattern recognition on smartphones according to the user's secret key to avoid data theft and other criminal acts. Pattern recognition uses the BAM Continuous Associative Memory Bidirectional method using Activation and sigmoid functions. The Smartphone recognition pattern consists of 5 patterns namely Z pattern, O pattern, M pattern, O pattern and W pattern. The pattern results obtained from Z=[7,7] pattern, O=[11,15] pattern, M=[ pattern 13,7], pattern X=[7,9], pattern O=[11,15]. Based on the final results after searching for 5 patterns, only pattern Z=[7.7] and pattern X=[7.9] are the same as the expected targets in pattern recognition that were entered.

Implementasi Artificial Intelegence Rekrutmen Karyawan Perusahaan Dengan Konsep Fuzzy Sugeno Yendrizal, Yendrizal
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Perekrutan karyawan perusahaan saat ini harus melewati seleksi tahap demi tahap agar mendapatkan kandidat sesuai dengan skill dan posisi yang benar benar dibutuhkan oleh perusahaan itu sendiri, saat ini banyak perusahaan yang melakukan konsep seleksi seperti kasus ini. Logika fuzzy merupakan logika yang bisa dijadikan sebagai acuan dalam perimaan karyawan pada satu perusahaan. Logika fuzzy meruapak sebuah metode yang mampu memecahkan masalah dan dapat di implementasikan menggunakan software Matlab. Permasalahan pada penelitian ini yaitu kurangnya skill karyawan yang bekerja di perusahaan sesuai dengan bidang dan keahlian yang dimiliki. Tujuan penelitian ini yaitu membantu perusahaan untuk menseleksi karyawan yang dibutuhkan sesuai dengan skill dan keahlian yang dimiliki agar perusahaan bisa berkembang dengan bagus. Penelitian ini menggunakan metode sugeno, dengan menggunakan konsep output 0 dan 1. Operator yang digunakan adalah operator AND, proses penyelesaian kasus ini menggunakan empat tahap yaitu, Fuzifikasi, Aplikasi fungsi implikasi, Mesin Inferensi dan Defuzifikasi. Pada penelitian ini menggunakan empat variable input dan satu variable output. Variabel input yaitu Nilai Pendidikan, Pengalaman Kerja, Keahlian/skill yang dimiliki dan Penampilan sedangkan variable output berupa keputusan diterima atau tidak. Fuzzy ini bisa dijadikan sebagai system pengambilan Keputusan dalam pengrekrutan karyawan pada sebuah perusahaan.

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