Article Per Year (5 Year)
p-Index From 2019 - 2024
6.028
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Systematics Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Komtekinfo Jurnal Teknologi Jurnal Informatika Ekonomi Bisnis
Sumijan
Universitas Putra Indonesia YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
Model Antrian Multi Channel Single Phase Berdasarkan Pola Kedatangan Pasien untuk Pengambilan Obat di Apotik Devi Yuliana; Julius Santony; Sumijan
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.12

Abstract

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.
Implementasi Metode Backpropagation untuk Memprediksi Tingkat Kelulusan Uji Kopetensi Siswa Nandel Syofneri; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.13

Abstract

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.
Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan Gabungan Metode Forward Chaining dengan Certainty Factor Deosa Putra Caniago; Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i2.58

Abstract

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.
Penentuan Tingkat Kompetensi Soft Skill Mahasiswa Menggunakan Metode Analytical Hierarchy Process dan Promethee Hardiansyah Putra; Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i3.62

Abstract

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.
Clustering Students' Interest Determination in School Selection Using the K-Means Clustering Algorithm Method Suhefi Oktarian; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i3.65

Abstract

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.
Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras Nurhidayat; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i3.67

Abstract

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
Sistem Pakar Menggunakan Metode Forward Chaining Dalam Akurasi Identifikasi Penyakit Feline Urologic Sindrome Andres Boni Fakio; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.85

Abstract

Cats are a type of carnivorous animal that is currently very much maintained by people. Caring for cats is very easy, but so many do not realize that when their cats fall ill, they are negligent, because they do not know about the consequences of the disease that has befallen their cats. The purpose of this study is to make it easier for users and clinics that have many patients to check and detect diseases in the cat's bladder or to determine the disease in cats by using the forward chaining method. In this study, there were 10 cases of cat patient data with fus, which data were taken from the Kih-Zima Pet Care Clinic Payakumbuh. In processing data in the form of input, determining decision tables, making rules, carrying out the tracking process, making decision trees and tracking results. The results of trials conducted with the data we get with a system that has been designed have an accuracy rate of 100% so that this designed application can be used to detect FUS in cats.
Prediksi Tingkat Kerugian Peternak Akibat Penyakit pada Sapi Menggunakan Algoritma K-Means Clustering Rian Kurniawan; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.87

Abstract

Data mining is very appropriate for processing data, producing added value from a pile of data in the form of knowledge that is not known manually. K Means Clustering The method of analyzing data and grouping them based on similarities, this method is very appropriate to predict the level of farmer losses due to disease in cattle. Predicting the level of farmer losses due to disease in cows by grouping them based on similarities and similarities of disease types, making it easier to draw conclusions. The data processed in this study were 9 data which were sourced from cow disease data in the UPTD Puskeswan Palangki from January to December 2019. Based on the analysis of these data by veterinarians on duty at UPTD Puskeswan Palangki, there are 9 types of diseases. Then the data is processed using the K means clustering method and proven using the WEKA application. The results of testing for this method are 3 diseases with a high loss rate and 6 diseases with a low loss rate. The data from the test results have been able to predict disease in cattle by grouping them into two parts, namely 3 diseases with a high loss rate and 6 diseases with a low loss rate.
Sistem Fuzzy Menggunakan Metode Sugeno dalam Akurasi Penentuan Suhu Kandang Ayam Pedaging Darma Yunita Darmawi; Gunadi Widi Nurcahyo; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.95

Abstract

Chicken meat is one of the most commonly consumed side dishes. To produce high quality chicken meat, a system is needed that makes it easy for breeders to buy chickens, one of which is the right system in determining the temperature of a broiler cage. The purpose of this study was to obtain a temperature appropriate to the age of the chickens as well as in its cultivation. In this case, the Fuzzy Sugeno method is used in an effort to build a systematic approach to generate the fuzzy rules from the input data sets given with fuzzy variables temperature, chicken age and decision. Where in each fuzzy variable there are linguistic variables, age (small, adolescent, and adult), temperature (cold, medium, and hot), decision (cold, ideal, hot). Later it will be processed with Matlab R2013a and can be implemented with Arduinno Mega 2560 using the Arduino IDE (Integrated Development Environment) programming compiler. A typical study in this study was conducted in a broiler cage with a size of approximately 40X10 m with a capacity of about 5000 broilers. The result of testing for this method is the ideal temperature according to the age and temperature of the broiler house input. From the trials that have been carried out, it can be said that the Fuzzy Sugeno method which is implemented with the Arduino Mega 2560 microcontroller can increase the accuracy of the ideal temperature in broiler brackets.
Sistem Pendukung Keputusan Menggunakan Metode Analytical Hierarchy Process (AHP) dalam Penentuan Kualitas Kulit Sapi dalam Produksi Kebutuhan Rumah Tangga Daeng Saputra Perdana; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.100

Abstract

Cowhide is the outermost part of beef that can be used in the product process, namely the finished skin in the production of household needs. The purpose of this study is to provide convenience in determining the quality of cowhide in household production needs. The data processed in this study were 6 alternatives. Cowhide quality data obtained at the UPDT Leather Processing Padang Panjang. There are several types of cowhide which have good, medium and poor quality levels. Furthermore, the data is processed manually using the Analytical Hierarchy Process method and continued by using the super software decisions as testing. The processing stage is to determine the weight of each criterion, provide an assessment (pair-wire comparation), summarize all the results of the assessment (overall composite weight). The results of the data processing are continued by calculating the level of accuracy. The result of the test on this method is that 98% of the cowhide has quality with vegetable cowhide based on the quality level of the given criteria. The testing decision making system has been able to identify the specific quality of cowhide. Through the Analytical Hierarchy Process method, the level of accuracy can be quite accurate and can help producers improve accuracy in identifying the quality of cowhide in household production needs.
Co-Authors Andreas Malau Andres Boni Fakio Andri Nofiar Ardia Ovidius Beni Aktavera Bias Yulisa Geni Bisma Okmarizal Budi Permana Putra Daeng Saputra Perdana Darma Yunita Darmawi Dedi Irawan Deosa Putra Caniago Devi Yuliana Dhio Saputra Dian Cyntia Dewi Dwiki Aulia Fakhri Eri Haryadi eriwandi Febri Aldi Febri Hadi Gunadi Widi Nurcahyo Hafiz Mursalan Hardiansyah Putra Irzal Arief Wisky Julius Santony Lili Amareza Patriani M. Arif M.Hafiz Alfansury Mahdiasa Sholihin Muhammad Hafizh Muhammad Iqbal Nandel Syofneri Nindi Misyahdul Yuzi Nurhidayat Rezki - Rian Kurniawan Roni Salambue Sahyunan Harahap Sandy Mulyanda Sarjon Defit Sofika Enggari Suhefi Oktarian Syafri Arlis Syahid Hakam Abdul Halim Ulia Ulfa Yuhandri Yuhandri Zulfitri Yani