Yuhandri Yunus
Universitas Putra Indonesia YPTK Padang

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Prediksi dan Klasifikasi Buku Menggunakan Metode Backpropagation R Rahmiyanti; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.116

Abstract

Students of SMP Negeri 2 Lengayang have different interests in determining the books they are interested in, so that the library often has difficulty determining the books that are most entered by students, this is because they have not used the right system in determining the type and number of books, only based on the estimated number. Students and subjects only, as a result school students stock books of the books they want to borrow. Based on the above, a method is needed to predict and classify the amount of book stock in the future. The data used is a recap of monthly book lending, from 2018 to 2020 in the third month, with a total of 1653 transactions and 5 types of books processed, then the data is analyzed using the Backpropogation method. The results obtained are using a 5-3-1 pattern with a learning rate of 0.01, a goal of 0.01, the number of input units for the Weapon layer 5, the number of units in the hidden layer and the number of output layer units that are placed on 1 layer, and to carry out training using two phases namely feedforward and backpropagation phases. It is removed from this research that the backpropagation method can provide a classification prediction of the number of books that must be provided in the following year based on the number of data entered or the number of data entered.
Implementasi Metode Elimination Et ChoixTraduisant La Realite (ELECTRE) dalam Penentuan Pegawai Berprestasi Vera Delmayanti; Yuhandri Yunus; Julius Santony
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.9

Abstract

The Kerinci Regency Cooperatives, Industry and Trade Office has a variety of employees whose competencies in their fields are for that purpose in improving an employee's performance by determining outstanding employees who aim to motivate and reward them for improving employee work performance. In determining this outstanding employee the data used are 3 samples of employee names as alternatives and some of the criteria on which decisions are made include Service Orientation, Integrity, Commitment, Discipline, and Cooperation. The results of the process of the ELECTRE method is to compare one employee with another employee and provide the results of priority value output in the form of assessment results or based on criteria that have been determined by the Office. The results of this process are recommended as outstanding employees at the Kerinci Regency Cooperatives, Industry and Trade Office.
Pemilihan Supplier Obat yang Tepat Menggunakan Metode Multi Attribut Utility Theory Selvia Djasmayena; Yuhandri Yunus; Rezi Elsya Putra
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.27

Abstract

Drug suppliers are those who sell and distribute drugs to pharmacies or sections that carry out pharmaceutical activities. Selection of the right supplier can support the operational activities of the pharmacy. Pharmacists must know the right criteria in choosing a supplier. Criteria determined by pharmacies not all suppliers can fulfill it. Overcoming this decision support system is very necessary in the selection of suppliers. Multi-Attribute Utility Theory is a ranking method that helps in supporting supplier selection decisions at Pekanbaru Assyafni Pharmacy. Supplier selection uses 15 sample supplier data and 5 criterion data used as a basis for supplier selection. Such as drug production, delivery time, quality stability, service response, and guarantee. The results of the study get a high degree of accuracy that is 86.67% of the right suppliers and in accordance with the realization of test data. So this research is very important in choosing the right supplier.
Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan Subrianto Chandra; Yuhandri Yunus; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.70

Abstract

The skin is an important organ located on the outside of the human body that needs to be kept healthy. Good skin health will certainly increase self-confidence, especially for women. Lack of information about diseases and treatment solutions and the small number of professional estheticians means that women end up not consulting when skin problems arise. If left untreated, skin problems will be more serious. The purpose of this study was to identify the accuracy of skin problems in women so that a solution in caring for the skin was obtained. The data processed in this study are the results of an interview from an aesthetic doctor about skin problems in women and the solutions and symptoms experienced by patients. Then the data obtained manually were processed using the Certainty Factor method and tested with a website-based system. The processing stage of this method is the compilation of symptoms into rules, giving weight values ​​for each symptom and calculating based on the Certainty Factor rule formula. The results of testing this method were 13 data on aesthetic skin diseases identified from 15 trial data. So that the level of accuracy is 86.67%. The results of this test have been able to identify well. The Certainty Factor method used can identify quite specifically and can be recommended to skin aesthetic doctors in increasing accuracy for identifying skin problems in women.
Sistem Pakar untuk Mengukur Tingkat Akurasi Dalam Mengidentifikasi Kepribadian Menggunaakan Metode Forward Chaining Johan Danu Wijaya; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.99

Abstract

Personality identification is one of the important things to know yourself and others. This identification is carried out based on the trait symptoms a person has based on the big five personality theory. This study aims to measure the level of accuracy in identifying personality based on visible trait symptoms. The data processed in this study were 10 patients. This data comes from psychology experts at the Faculty of Psychology, Riau Islamic University. The method used to process data is forward chaining. Based on the sample data processing that has been done to identify a person's personality and character, it has an accuracy rate of 100%. The results of this study obtained the type of personality which will then be understood by everyone to be able to identify their personality more deeply.
Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining Budi Permana Putra; Yuhandri Yunus; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.122

Abstract

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.
Prediction of the Number of Arrivals of Training Students With the Monte Carlo Method Sopi Sapriadi; Yuhandri Yunus; Rahmatia Wulan Dari
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i1.168

Abstract

The simulation of predicting student arrivals for training is an estimate of the calculation of the arrival rate of students in a period to conduct training. The number of student visits is too many, sometimes inversely proportional to the programmers who carry out learning, this causes the ongoing service to be less than optimal. This study aims to predict student arrivals in the future better. The data processed in this study were 3 periods sourced from the administration of a private company in West Sumatra. The data will be processed and calculated using the Monte Carlo method. The data were tested with various possible elements using a random sample. A powerful numerical calculation tool by simulating statistical data, this simulation obtains accurate values ​​​​accurately from the physical form of the system that can be observed. The calculation implementation will be developed using an application-based system that will be built with the Hypertext Preprocessor (PHP) programming language. The system developed is easier and more relevant by applying Information Technology. The results obtained in predicting are 80% for 2017 and 84% for 2018. From the results of 80% accuracy in 2017 and 84% 2018 the system works very well to implement. Based on the results of data processing with the Monte Carlo method, it can be predicted that the number of student arrivals for training, as well as a good and fast decision-making process in the future.
Penetapan Penerimaan Besaran Pembiayaan pada KPN Syariah dengan Metode AHP Salmi Hasni; Gunadi Widi Nurcahyo; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.7

Abstract

The financing approval process for the Al-Ikhlas Sharia Civil Servant Cooperative (KPN) of the Batusangkar State Islamic Institute (IAIN) is still carried out by manual review, making it difficult to receive financing quickly and accurately. As a solution to these problems, we need a decision support system that can help in determining the amount of financial revenue. Analytic Hierarchy Process (AHP) is one of the multi-criteria problem solving models used in this study. The criteria used in determining the amount of financing received at the Al-Ikhlas IAIN Sharia Batusangkar KPN are character, capital, capacity, condition, and collateral. This study produces a weighting matrix of results, with KS as the member who gets the highest score of 95.3% and can apply for financing with a maximum amount.
Analisa Data Profil Pelanggan Menggunakan Algoritma FP-Growth Vivi Suryani; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.8

Abstract

The number of bouquet orders is quite varied sometimes increased and decreased. The number of hikes certainly carries the goodness but the amount of decline certainly has an impact for Wawa Florist because it can not fulfill the number of bouquet order. The purpose of this research is to know how Data Mining techniques with Fp-Growth algorithm methods and designing the grouping of customer data of Wawa Florist with the FP-Growth algorithm method to obtain better and more effective analysis results. The result of the order data of the wreaths in Wawa Florish can be obtained which area information most booked wreaths, the most ordered bouquet of flowers are: D02 (Lubuk Buaya), D04 (Lubuk Minturun), D01 (Pariaman) and D03 (Lubuk Alung ). These results are obtained based on the appearance of the itemset of the bouquet booking data. Meet minimum confidence 60%.
Simulasi Monte Carlo untuk Memprediksi Hasil Ujian Nasional (Studi Kasus di SMKN 2 Pekanbaru) Yusmaity; Julius Santony; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.21

Abstract

Basically grades that do not meet graduation criteria are phenomenon for schools. Which can cause a lack of school quality. One such phenomenon is the National examination Score which is the value of determining graduation for students. Vocatonal High School (SMK) Negeri 2 Pekanbaru is a formal education unit as the organizer of the Teaching Learning Process (TLP), for student afterc ompleting education can go directly to employment or the industrial world and can continue their education. Where the test csores obtained by student are inseparable from the school graduation criteria.To deal whith probalytic situations like this we need a method for analyzing or predict likely in the future. One method that can be used is Monte Carlo Simulation. By using Monte Carlo Simulation to the national exam in this study is expected to holp to find out the acquition of student grades for the future. The csores are taken fom the national exam result obtained from the curriculumsection of the last 3 academic years, namely TP 2016/2017 to TP 2018/2019. This scores is simulationted whith PHP programming as a data implementation system. Simulation result from this studyobtained an accuracy level of 86,68%. By getting a greater degree of accuracy, this method is appropriate to be predict the National Exam Scores for the future.