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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 261 Documents
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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.
Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Jenis Penyakit alergi Kulit Pada Balita Nia Nofia Mitra; Gunadi Widi Nurcahyo
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.v2i4.75

Abstract

The immune system possessed by toddlers who are weaker than adults makes toddlers more susceptible to diseases, including allergic diseases. Allergy is a hypersensitivity reaction that can be seen by immunologists, which can affect almost all body tissues and clinical symptoms according to the affected organs, allergies usually occur in human skin. The skin is the largest organ of the human body, which is the body's first defense against bacteria and viruses. For this reason, parents must pay more attention to toddlers because poor health conditions will certainly greatly affect the child's growth. Lack of experts in the field of skin so we need an expert system that is able to match the experts in the hope that it can help parents to know about skin allergies in toddlers early. The method used to identify the type of skin allergic disease in toddlers is using the Definty Factor method where the CF method shows the certainty value of an uncertain fact and reaches a 100% accuracy level from testing 8 patient data, so that the Definty Factor method can be used to see the types of skin diseases suffered by toddlers.
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.
Prediksi Bed Occupancy Ratio (BOR) Menggunakan Metode Monte Carlo Dendi Ferdinal; Sarjon Defit; Yuhandri Yunus
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.v3i1.80

Abstract

Planning for medical personnel, support staff and hospital facilities for the future is very important in order to carry out excellent and optimal services. Management must be able to predict the percentage of bed use based on a certain period of time or Bed Occupancy Ratio (BOR), in order to see the needs of medical personnel, supporting personnel and hospital facilities. To predict BOR in the future, a Monte Carlo simulation can be carried out using data on the day care for the Second Floor Baby care room in 2017, 2018 and 2019. The Second Floor Baby Room has a bed capacity of 12 units. The prediction rate for the treatment room using the Monte Carlo simulation is 93.09% for 2018 predictions and 89.78% for 2019. So this Monte Carlo simulation method simulation can be used in predicting BOR in hospitals. For the 2020 simulation, the BOR is 77.42% with a total treatment day of 3391.
Sistem Pakar Menggunakan Metode Forward Chaining pada Tingkat Kesembuhan Terapi Farmakologi dan Gaya Hidup Sehat Terhadap Pasien Hipertensi Arika Juwita Z; Sarjon Defit; Yuhandri Yunus
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.v3i1.82

Abstract

Hypertension is blood pressure above normal caused by strong blood flow to the walls of the arteries, resulting in certain complications that are at risk of triggering heart disease, stroke, kidney failure and even death. Many people do not know about the symptoms and types of hypertension, so a system is built to make it easier for the medical team and system users to find out the types of hypertension along with the cure rate with pharmacological and lifestyle therapies. The purpose of this study was to determine the cure rate of pharmacological therapy and a healthy lifestyle for hypertensive patients based on data collected from experts. The data that were processed were 25 symptoms, 2 therapy data, and 8 types of hypertension based on blood pressure classification. The symptoms and types of disease are entered into the expert system using the Forward Chaining method and rules. To see the accuracy of the cure rate for pharmacological therapy and a healthy lifestyle for hypertensive patients, a Forward Chaining method is needed, namely: Prepare data input, define decision tables, define rules, perform processes that create decision trees. The results of the study with 25 symptom data obtained as many as 8 decision rules, namely which type of hypertension the patient has and which cure should be done. Based on the analysis carried out, it can be seen that the cure rate of pharmacological therapy and a healthy lifestyle can be used as a reference for making decisions to analyze the healing of hypertensive patients with pharmacological therapy and a healthy lifestyle. This expert system calculation shows the percentage of success from the expert.
Sistem Pakar Menggunakan Metode Forward Chaining dalam Identifikasi Kemampuan Siswa Terhadap Bidang Vokasi Pada Sekolah Menengah Kejuruan Ilham Effendi; Gunadi Widi Nurcahyo
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.v3i1.83

Abstract

The ability of students in the vocational field is a skill that students have in mastering certain applied skills. The ability of these students will be a benchmark in determining the choice to continue to higher education, work in the Industrial World Business World or do entrepreneurship. Constraints in assessing self-ability become a problem for students when completing school. The Expert System is an alternative to help students consult earlier to determine future directions. Developing the Expert System application provides an overview of students' abilities in the vocational field so that they are right on target in choosing a career. The data comes from interviews with class XII students of SMK Negeri 1 Kinali and data on the types of problems provided by experts. After data collection, analysis and problem solving were carried out using the Forward Chaining method by formulating rules or rules. The results of the rule formulation are implemented into a system that aims to determine the extent to which the PHP programming language is applied in identifying students' abilities in the vocational field in class XII of SMK Negeri 1 Kinali. Followed by testing the results so that the results of the process carried out with the help of the application are in accordance with the results of the process carried out manually. The result of the application is that it can provide early instructions for the right choice of determining students' abilities in the vocational field. The application of the Forward Chaining method that is applied to the system in determining students' abilities in the vocational field has an accuracy level of up to 80%, therefore the system can be said to be good enough to be applied.
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.

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