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All Journal International Journal of Electrical and Computer Engineering Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Artificial Intelligence and Data Mining Journal of Information Technology and Computer Engineering JURNAL SIMTIKA (Sistem Informasi dan Informatika) Jambura Journal of Informatics Jurnal Informasi dan Teknologi Insearch: Information System Research Journal
Sumijan Sumijan
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences Other

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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.
Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Mengidentifikasi Penyakit Gingivitis pada Manusia Cyntia Lasmi Andesti; Sumijan Sumijan; Gunadi Widi Nurcahyo
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.v2i3.69

Abstract

Gingivitis is a common inflammatory disease of the gums, which is a condition where bacteria develop in the mouth that causes damage to the connective tissue cells that are attached to the teeth. Lack of awareness in caring for teeth will have a negative impact not only on dental health but also on the health of the body. At present many people do not know how to accurately identify gingivitis in humans so that the condition is worsened and can even cause the paralysis of the existing connective tissue. This study aims to determine the level of accuracy in identifying gingivitis by using the Certainty Factor method precisely and accurately. The data processed in this study are fifty data sourced from expert interviews at Rahmatan Lil Alamin Clinic, Padang Indonesia. There are several types Symptoms refer to gingivitis in humans. The data is obtained from the results of medical records of patients who carry out examinations in the clinic. The data will be processed to identify the type of gingivitis based on the direction of the expert. The processing steps are solving rules, determining the weight value of each symptom and calculating the Certainty Factor value. The results of the processing were continued by calculating the level of accuracy. The results of the testing of this method were that 96% of them had gingivitis, the type most often suffered by marginal gingivitis patients. Based on the signs entered by the user. The results of this test have been able to specifically identify gingivitis, using the Certainty Factor method, the results of the accuracy level obtained are quite accurate and can be recommended to help dentists improve their accuracy in identifying gingivitis in humans.
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 : SEULANGA SYSTEM PUBLISHER

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 Metode Forward Chaining Untuk Psikoterapi Kejiwaan Terhadap Penyakit Kepribadian Genetik Wahyudi Wahid; Gunadi Widi Nurcahyo; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.72

Abstract

The problem with personality disease is that the disorder experienced cannot be easily identified because it tends to be ignored. Most people who experience symptoms of the disorder are still reluctant to see a doctor or a psychiatrist. This is due to several limitations such as limited places for consultation or psychiatrists. With these limitations the role of the Expert System is very important in solving a problem, the problem is a personality disease. The purpose of building this Expert System is to help people who suffer from personality problems consult online without having to come directly to a psychiatrist. This expert system will later become a solution to these genetic personality problems. So that people are no longer difficult to see a doctor or psychiatrist. All data to be used are sourced from experts. Forward Chaining is used in this research as a method. The search technique that begins with the facts obtained, then adjusts the rule model that has been built is called Forward Chaining. Observations will result in a website-based Expert System product that users can access online. The accuracy of the system has been tested by related parties and results in a faster and more efficient information. The conclusion of this research is to help people to diagnose the symptoms of personality disorder that they experience unconsciously and the test results can clearly detect genetic personality disease.
Klasterisasi Data Rekam Medis Pasien Pengguna Layanan BPJS Kesehatan Menggunakan Metode K-Means Jeri Wandana; Sarjon Defit; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.73

Abstract

Patient histories who use the services of Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan are stored in medical record data. Each medical record data contains important information that is very valuable and can be processed to explore new knowledge using a data mining approach. This study aims to help Prof. Dr. Tabrani hospital in classifying patient data who use BPJS Kesehatan, so that the pattern of disease spread is known based on class of service. The data used is patient medical record data in 2019 from October to December, the data will be processed using the K-Means Clustering algorithm with a total of 3 clusters. In cluster 0 (H0) there are 3 patients who are dominated by A09.9 disease (Diarrhea / Dysentery) in Class 2 and Class 3, for cluster 1 (H1) there are 5 patients with more diverse types of disease, while for cluster 2 (H2) there are 5 patients who are predominantly K30 disease (Dyspepsia) in Class 1.
Meningkatkan Keamanan Sistem Informasi Puskesmas Terpadu dengan Metode Grey-Box Penetration Test Menggunakan Computer Assisted Audit Techniques Nopan Pirsa; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.79

Abstract

Information system security is something the owner must pay attention to in order to avoid cyber crime. Information systems that have security vulnerabilities can threaten an organization's critical infrastructure. Security vulnerabilities are any kind of vulnerability that allows attackers to enter into the system illegally and perform unwanted acts. Penetration tests on information systems need to be carried out to ensure its security. This study aims to improve the security of the integrated health center information system in Payakumbuh City so that data and information is guaranteed its security. The method used is the gray box penetration test using computer assisted audit techniques. The results of this study found 97 high vulnerability categories, 1 medium vulnerability category and 26 low vulnerability categories. The Payakumbuh City Information and Communication Office can take advantage of the penetration test results as a reference to improve the security of the Payakumbuh integrated health center information system.
Akurasi dalam Mengidentifikasi Talenta Siswa Lanjutan Menggunakan Metode Multifactor Evaluation Process (MFEP) Riski Randa Hidayatullah; Sumijan Sumijan; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.112

Abstract

Talent is a natural ability to acquire knowledge and skills, both general and specific. Basically, each individual has different talents. moreover supported by the appropriate talents, will bring passion and give pleasure in learning or living it. Providing an overview to students of who they are through their talents and interests so that what job opportunities they can initiate after graduating from school are qualitative data related to the research focus, namely the process of identifying student talents in the Educator Room of SMAN 1 Linggo Sari Baganti . There are at least nine intelligences or talents that a person may possess, namely logical mathematical, linguistic / verbal, visual spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, natural, and moral / spiritual. Sources of data in the study were obtained from primary data, namely data obtained directly from data sources, namely the people involved in the process of identifying talents in the Educator Room of SMAN 1 Linggo Sari Baganti. In addition, the data source in this study is in the form of secondary sources, for example in the form of documents related to curriculum implementation. Furthermore, the data is processed using the Multifactor Evaluation Process (MFEP) method. MFEP is a quantitative method that uses a 'weighting system' and this study uses the VB.NET 2017 language program and MySQL. The processing stages are determining criteria, calculations and processes so as to produce decisions. The sum above results, there are 10 students whose data is processed and produces a total calculation or accuracy of 86.51%. So that this research can be a reference in making the right decision at SMAN 1 Linggo Sari Baganti School.
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.
Expert System For Diagnosing Hemophilia In Children Using Case Based Reasoning Subrianto Chandra; Sumijan Sumijan; Eka Praja Wiyata Mandala
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 1 (2019): March 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v2i1.6681

Abstract

Many people who have children do not know about hemophilia, because this disease is one of the rare diseases. Hemophilia is a genetic disorder in the blood caused by a lack of blood clotting factors. Therefore there is a need for information for the public to be able to find out about this disease, so that when there is an unnatural bleeding, early treatment can be done properly.Therefore an expert system was designed to diagnose early hemophilia in children.The method used in this expert system is the Case Based Reasoning method. The Case Based Reasoning method is a method used to solve a new case by adapting the symptoms found in previous cases that are similar to the new case.This expert system can provide solutions / early prevention of the diagnostic process carried out. Expert system applications are designed based on websites using the PHP programming language.
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.
Co-Authors Cyntia Lasmi Andesti Dhena Marichy Putri Eka Praja Wiyata Mandala Gunadi Widi Nurcahyo hamsiah hamsiah Jeri Wandana Jufriadif Na`am, Jufriadif Julius Santony Khairul Azmi Nopan Pirsa Riski Randa Hidayatullah Roni Roni Sarjon Defit Sri Amalia Harahap Subrianto Chandra Surya Dwi Putra Wahyudi Wahid Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Zurni Mardian