Articles
<![CDATA[Clustering Students' Interest Determination in School Selection Using the K-Means Clustering Algorithm Method ]]>
<![CDATA[Suhefi Oktarian]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v2i3.65
<![CDATA[Education is one of the main focuses of the Indragiri Hilir Regency Government work program. Based on data from the Regional Central Statistics Agency of Indragiri district in 2019, the high level of student interest in attending school is at the elementary and junior high school levels. K-means clustering is a data grouping technique by dividing existing data into one or more clusters. School grouping based on student interest is important because at the high school level students' interest in education has decreased so that information is needed which schools are in great demand, sufficient interest and less interest by students at the junior high school level when after finishing elementary school education. This study aims to assist the Education Office in the decision-making process to determine which school students are most interested in as a reference in development both in terms of quality and quantity. The data used in this study is the Dapodikdasmen data in 2019.Data processing in this study uses the K-means clustering method with a total of 3 clusters, namely cluster 0 (C0) is less attractive, Cluster 1 (C1) is quite attractive, cluster 2 (c2) is very interested in students in choosing a school. The results of the clustering process with 2 iterations state that for cluster 0 there are 6 school data, for cluster 1 there are 3 school data, cluster 2 is 1 school data.]]>
<![CDATA[Penentuan Tingkat Kompetensi Soft Skill Mahasiswa Menggunakan Metode Analytical Hierarchy Process dan Promethee ]]>
<![CDATA[Hardiansyah Putra]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v2i3.62
<![CDATA[Bureau of Student Advisory Center (BSAC) Universitas Pembangunan Panca Budi is a center for career development and character building for students. In this case, a soft skill seminar is conducted to find the best candidate employees in the field of recruitment offered based on the criteria of student soft skill training. Determining the level of soft skill competences of students using the Analytical Hierarchy Process (AHP) method and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). For decision support systems using the AHP and PROMETHEE methods in determining the level of soft skill competencies, in order to obtain prospective employees who have the required soft skill competency level. Data collection was carried out by conducting research. The data is taken from the seminar results with 100 participants. The data that has been collected, processed and analyzed before being used as input and output as a basis for learning or training using the AHP and Promethee methods. Based on the calculations of the two methods, namely the AHP and Promethee methods, there are differences in calculations. In other words, because Promethee does not support the determination of weights and the hierarchy of criteria and does not have the assurance of consistency when determining weights like AHP. So that the program execution has a different time in the results, in the AHP method, program execution until the final result is obtained is better than the Promethee method. AHP has advantages in determining weights and criteria hierarchy, while Promethee has advantages in the alternative ranking process using different preference and weight functions.]]>
<![CDATA[Sistem Pendukung Keputusan Penentuan Jumlah dan Kualitas Sampah Daur Ulang Menggunakan Metode Weight Product ]]>
<![CDATA[Sahyunan Harahap]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v3i1.107
<![CDATA[The Sanitation Bureau of Panca Budi Univeristas of Development is a place for the utilization and processing of recycled waste, both organic and non-organic waste. In this case, processed recycled waste will get the best quantity and quality. Determination of the amount and quality of recycled waste using the Weihgt Product (WP) method in order to obtain a quality result of recycled waste that has the best quality as needed. Data collection was carried out by interviewing and conducting research in order to obtain data in the form of exel with a sample size of 22. The data that has been collected, processed and analyzed before being used as input and output as a basis for learning or training. Based on calculations using the product weight method, it can be used as a reference in making a decision support system by weighting, multiplying and dividing each alternative. The value of A11 shows the largest value which is the best alternative choice and based on the test data is cardboard waste. So this research is very appropriate in making the right decision to determine the type of quality waste for recycling.]]>
<![CDATA[Akurasi dalam Identifikasi Penyakit Sapi Pesisir Menggunakan Metode Forward Chaining ]]>
<![CDATA[Hafiz Mursalan]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v3i3.117
<![CDATA[Coastal cattle are livestock that have economic value, such as selling beef and cattle breeds. Cow disease can cause the quality of its sales to decrease. This study aims to help cattle breeders to determine the type of cow disease, from the symptoms that exist in these cows. So that the prevention of the risk of cow disease can be avoided. All data used are sourced from experts. In determining the type of disease in cows, the Forward Chaining method is used. The fact-finding technique is then put into the predetermined rules to get a conclusion. Making a website based expert system makes it easy for breeders to access it online. The accuracy of the system has been tested by related parties so as to produce fast and efficient information. From research, it can help breeders in diagnosing the symptoms experienced by cows and the test results can detect the type of disease accurately.]]>
<![CDATA[Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah ]]>
<![CDATA[Zulfitri Yani]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i1.58
<![CDATA[In meeting consumer needs, the availability of calcium products is a problem that needs attention. Items that are often sold will be the largest stock, so that the demand for finished goods is met and income will also increase. This study aims to predict the level of sales revenue for calcium products at stokies tiens 872, in determining which products will be provided for the following year. The data to be used is the sales data for calcium products from 2018 to 2019. Data processing is carried out using the Monte Carlo algorithm, then the data is processed and generated using random numbers taken randomly, after which it is converted or changed in the form of distribution with use simulation techniques to get the results. The results obtained in predicting the income level of sales of calcium products, by making comparisons with the sales data that were sold, namely Nutrient High Calcum Powder that existed in 2018, with simulation results in 2018 with a data accuracy rate of 91%, with the number of calcium products. as many as 1367 products. Then the data in 2019 with simulation results in 2019 with a data accuracy rate of 93% with the number of calcium products as many as 1667 products. With the resulting level of accuracy in the study, the monte carlo simulation can help the stockies predict sales revenue based on processed data, so that this study is able to predict the level of income for the following year.]]>
<![CDATA[Simulasi Monte Carlo dalam Mengidentifikasi Peningkatan Penjualan Tanaman Mawar ]]>
<![CDATA[Dian Cyntia Dewi]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.67
<![CDATA[Roses are one of the most popular types of plants in the community. The sale of roses at the flower shop of 5 siblings is increasingly in demand. Identifying the increase in sales is important in analyzing sales progress. At the present time the seller can only see a manual increase in sales that are most in demand. This study aims to determine predictions of the increase in sales of rose flowers with a monte carlo simulation accurately and accurately. The data that will be processed in this study in the last 2 years, namely 2018 and 2019, rose plants obtained at the 5 Brothers Flower Shop in Solok City. There are several types of roses in the predicted sales level. Then the data will be converted into the probability distribution into cumulative frequency and followed by generating random numbers so that they can determine random numbers. Next, we will group the boundary intervals of the random numbers that have been obtained and continue with the simulation process so that the simulation results and percentage accuracy are obtained using the Monte Carlo method. The results of this study on data processing from 2019 to 2020 have an accuracy of 90%. So this research is very appropriate in identifying the increase in sales for the following year. The design of this system determines the amount of increased sales of goods using the monte carlo method in a flower shop of 5 siblings. Monte Carlo simulations can be used to identify specific sales increases. The results obtained are quite accurate using the Monte Carlo method.]]>
<![CDATA[Model Antrian Multi Channel Single Phase Berdasarkan Pola Kedatangan Pasien untuk Pengambilan Obat di Apotik ]]>
<![CDATA[Devi Yuliana]]>;
<![CDATA[Julius Santony]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4 ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/jidt.v1i4.12
<![CDATA[The accumulation of queues of prospective patients also results in an inadequate waiting room, which occurs because there is no disciplinary pathway that can provide a form of registration service that is efficient and flexible with time to many entry points and many services so that patients do not have to queue long only to take medicine. The solution to handling the problem of the accumulation of prospective patients in RSI Ibnu Sina Padang is to implement a multi-channel queuing system - Single phase, where there will be more than one entry point to register to RSI Ibnu Sina Padang so that the patient arrival pattern is divided into several times and the path is adjusted with the needs of the patient's desired time and there is more than one stage of service at Ibnu Sina Hospital in Padang. The purpose of this study was to design a php application at the Ibnu Sina Hospital in Padang with the Multi Single Phase Method and find out the time spent by patients in the queue, then it is expected to be useful for the RSI Ibu Sina Padang.]]>
<![CDATA[Implementasi Metode Backpropagation untuk Memprediksi Tingkat Kelulusan Uji Kopetensi Siswa ]]>
<![CDATA[Nandel Syofneri]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4 ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/jidt.v1i4.13
<![CDATA[Vocational High School (SMK) 2 Pekanbaru is a Vocational School in Industrial Technology. At present there are 2400 students with 14 majors. In students the level of will in students is still low. Resulting in a low graduation rate for students. This happened because of the difficulty in predicting the level of competency examination passing at SMK Negeri 2 Pekanbaru. The purpose of this study is to assist in predicting the passing level of competency exams so as to produce predictions of student graduation. The method used is the Backpropagation method. With this method data processing can be done using input values and targets that you want to produce. So that it can predict the graduation of students in the expertise competency test. Furthermore, the data to be managed is a recapitulation of the average vocational values majoring in computer network engineering from semester 1 to semester 5 with aspects of knowledge on the target students of 2017 Academic Year and 2018 Academic Year obtained from the sum of all subjects in each semester. The results of calculations using the Backpropagation method with the Matlab application will be predictive in producing grades for students' graduation rates in the future. So that the accuracy value will be obtained in the prediction. With the results of testing the accuracy of prediction student competency tests with patterns 5-4-1 reaching 85%, with patterns 5-6-1 reaching 95%, patterns 5-8-1 reaching 70%, patterns 5-10-1 reaching 85% % and with 5-12-1 patterns it reaches 85%. Of the five patterns, the best accuracy rate of 5-6-1 is 95%. The prediction results using the Bacpropagation method can become knowledge in the next year. So that the system parameters used in testing can be recognized properly.]]>
<![CDATA[Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan Gabungan Metode Forward Chaining dengan Certainty Factor ]]>
<![CDATA[Deosa Putra Caniago]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 2 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v2i2.58
<![CDATA[The skin is the outer protective organ for humans. Skin is the most interacting layer with the environment. Interactions that occur are not always safe against bacteria, viruses, fungi and parasites, so they will cause harm. Poor interactions will result in skin diseases. This skin disease is often considered normal, but can be dangerous and deadly and contagious. Due to the natural conditions and lack of medical personnel, sufferers of skin diseases have problems in examining their skin diseases. So this research was conducted by using an Expert System (Expert System) to help sufferers of skin diseases and help get solutions to these diseases. The solution obtained from the symptoms felt by sufferers. The method used in this study is Forward Chaining (FC) and processed using the Certainty Factor (CF) Method. The results of this study can determine the right initial steps in dealing with infectious skin diseases. So this research is very helpful for sufferers in knowing the type of skin disease, the solution in its prevention and its prevention precisely.]]>
<![CDATA[Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras ]]>
<![CDATA[Nurhidayat]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jidt.v2i3.67
<![CDATA[Hardware is a computer that can be seen and touched in person. Hardware is used to support student work and learning processes. The hardware should always be in good shape. If any damage should be done quickly. The benefits of this study provide a viable level of data against hardware tools. The purpose of this study determines that hardware that is worth using quickly and precisely so easily can be repaired and replaced. Hard-processed action consists of 12 projectors, 2 units of access point, 6 units of monitors, and 20 CPU units. To see the level of appropriateness regarding hard drives requires a rough set algorithm with that stage: information system; Decision system; Equivalency class; Discernibility matrix; Discernibility Matrix module D; Reduction; Generate Rules. The results of the 40 devices of study STMIK Indonesia Padang subtract college have 10 rules of policy on whether the hardware is still viable, repaired or replaced. So using a rough set algorithm is particularly appropriate to apply in a verifiable level of accuracy to fast and precise hardware. Keywords: Hardware, Decision System, Data Mining, Rules , Rough Set]]>
