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Enlarge Medical Image using Line-Column Interpolation (LCI) Method Jufriadif Na'am; Julius Santony; Yuhandri Yuhandri; Sumijan Sumijan; Gunadi Widi Nurcahyo
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.955 KB) | DOI: 10.11591/ijece.v8i5.pp3620-3626

Abstract

Quality of medical image has an important role in constructing right medical diagnosis. This paper recommends a method to improve the quality of medical images by increasing the size of the image pixels. By increasing the size of pixels, the size of the objects contained therein is also greater, making it easier to observe. In this study medical images of Brain CT-Scan, Chest X-Ray and Panoramic X-Ray were processed using Line-Column Interpolation (LCI) Method. The results of the treatment are then compared to Nearest Neighbor Interpolation (NNI), Bilinear Interpolation (BLI) and Bicubic Interpolation (BCI) processing results. The experiment shows that Line-Column Interpolation Method produces a larger image with details of the objects in it are not blurred and has equal visual effects. Thus, this method is expected to be a reference material in enlarging the size of the medical image for ease in clinical analysis.
Detection of Proximal Caries at The Molar Teeth Using Edge Enhancement Algorithm Jufriadif Na'am; Johan Harlan; Sarifuddin Madenda; Julius Santony; Catur Suharinto
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.732 KB) | DOI: 10.11591/ijece.v8i5.pp3259-3266

Abstract

Panoramic X-Ray produces produces the most common oral digital radiographic image that it used in dentistry practice. The image can further improve accuracy compared to analog one. This study aims to establish proximal caries edge on enhancement images so they can be easily recognized. The images were obtained from the Department of Radiology, General Hospital of M. Djamil Padang Indonesia. Total file of images to be tested were 101. Firstly, the images are analyzed by dentists who practiced at Segment Padang Hospital Indonesia. They concluded that there is proximal caries in 30 molar teeth. Furthermore, the images were processed using Matlab software with the following steps, i.e. cropping, enhancement, edge detection, and edge enhancement. The accuracy rate of detection of edge enhancement images being compared with that of dentist analysis was 73.3%. In the edge enhancement images proximal caries edge can be found conclusively in 22 teeth and dubiously in eight teeth. The results of this study convinced that edge enhancement images can be recommended to assist dentists in detecting proximal caries. 
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 : SEULANGA SYSTEM PUBLISHER

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.
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.
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 : SEULANGA SYSTEM PUBLISHER

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.
Prediksi Pajak Mineral Non Logam dan Batuan dengan Metode Monte Carlo Julius Santony
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.v1i4.33

Abstract

Regional government in Indonesia annually sets a target for tax revenues of non-metallic minerals and rocks. Setting targets is very important as a guideline in preparing the current year's budget work plan. So far, the target of non-metal mineral and rock tax revenues has been prepared based on a joint agreement between the regional government and the regional legislature. The prediction of non-metal mineral and rock tax revenues using Monte Carlo simulation can be a solution to predict the next few years. This prediction uses data between 2009 - 2018 taken from the tax and retribution management body one of the districts in Indonesia. Testing the results of predictions is done by comparing the results of predictions with data from 2016 - 2018. The test results show that the average accuracy rate reaches 82.05%. So this study greatly helped the district government in setting the target for the acceptance of non-metal minerals and rock taxes.
Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo Julius Santony
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.34

Abstract

The scheduling of a suspension bridge construction project is very influential in determining the success of construction which has risks and uncertainties in the construction of a suspension bridge. So we need a suspension bridge project scheduling to predict the work schedule for each suspension bridge construction activity. To overcome all the risks and uncertainties in the construction of a suspension bridge, a Monte Carlo method simulation is needed to process 10 activities in a suspension bridge construction project. The accuracy rate using Monte Carlo simulation is 93.99% for predictions for 2017, 2018 for 98.77% and 86.75% for 2019. So this Monte Carlo simulation can be used in predicting the scheduling of a suspension bridge construction project.
Metode Weighted Product dalam Pemilihan Penerima Beasiswa Bagi Peserta Didik Roni Roni; Sumijan Sumijan; Julius Santony
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 1 (2019): April 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.74 KB) | DOI: 10.29207/resti.v3i1.834

Abstract

Scholarships are one of the factors that can increase learning motivation for students. This scholarship is one of the school programs to help parents of students to ease the burden of education costs of the students. In determining the scholarship recipients who meet the requirements and eligibility at the MA Raudlatul Ulum a decision support system is using the Weighted Product method. Decision making in the Weighted Product method is done by multiplication to connect the rating of each attribute, where the rating of each attribute must be raised by the weight of the attribute in question. In this study there are several criteria used in decision making, namely Average Value, Behavior, Extracurricular, Parent Income, and Dependents of Parents. The research carried out begins with determining the weight of each criterion, then the ranking process is carried out which will produce the most optimal alternative. Based on the results of testing that has been done, it can be concluded that the system is able to provide accuracy of 90% if compared with the results of testing manually.
IDENTIFIKASI SELEKSI PROPOSAL PENELITIAN MENGUNAKAN METODE AHP PADA LPPM UNIVERSITAS ANDALAS hamsiah hamsiah; Julius Santony; Sumijan Sumijan
Simtika Vol. 3 No. 2 (2020): JURNAL SIMTIKA, MEI 2020
Publisher : Fakultas Ilmu Komputer Universitas Dharmas Indonesia

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

Abstract

Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) UNAND adalah suatu lembaga yang berada di Universitas Andalas, yang tupoksi utamanya adalah bidang Penelitian dan Pengabdian kepada Masyarakat, Setiap tahun secara rutin LPPM menerima dan menyeleksi proposal dari 15 Fakultas, 45 Prodi yang ada di Universitas Andalas. Proses seleksi yang terjadi pada LPPM UNAND, prosesnya masih dilakukan secara manual, sering mengalami human error, sehingga kurang efektif dengan apa yang diinginkan oleh pimpinan, untuk menyelesaikan permasalahan tersebut digunakan sistem penunjang keputusan dengan menerapkan metode AHP dalam penetepan keputusan. Setelah dilakukan pengujian, metode AHP dapat menentukan perengkingan proposal penelitian yang layak untuk didanai sesuai kriteria yang telah ditetapkan.
Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo Bias Yulisa Geni; Julius Santony; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.315 KB) | DOI: 10.37034/infeb.v1i4.5

Abstract

Completing cat products in meeting consumer demand is something that must be addressed. Sales are very important for sales. The amount of demand for goods increases, it will get a large income. The purpose of this study is to predict the sales revenue of paint products at UD. Masdi Related, makes it easy for the leadership of the company to find out the amount of money obtained quickly. This research also makes it easy for companies to take business strategies quickly and optimally. The data used in this research is the data of paint product sales for January 2016 to December 2018 which is processed using the Monte carlo method. Income prediction will be done every year. In addition to predicting revenue, the sales data is also used to predict product demand every year. To predict the sales of paint products using the Monte Carlo method. The results of this study can predict sales revenue of paint products very well. Based on the results of tests conducted on the system used to predict sales revenue of cat products with an average rating of 89%. With a fairly high degree of accuracy, the application of the Monte Carlo method can be estimated to make an estimate of the income and demand for each paint product every year. Necessary, will facilitate the leadership to choose the right business strategy to increase sales of cat product sales.