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Jurnal Teknik Informatika C.I.T. Medicom
Published by Institute Of Computer Science
ISSN : 23378646     EISSN : 2721561X     DOI : -
Core Subject : Science,
Computer Science & IT
The Jurnal Teknik Informatika C.I.T a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
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Search results for , issue "Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)" : 5 Documents clear
Nextcloud 2 Terabyte LAN Network-Based Server By Using the Ubuntu LTS 16.04 Richard Ronaldo Marbun; Iskandar Fitri; Agus Iskandar
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.123 KB) | DOI: 10.35335/cit.Vol12.2020.16.pp1-6

Abstract

Technology Developmenare currently experiencing significant changes from age to age. And the need to store a data is changed, and each user's data storage require large storage capacity. At reasonable costs, as well as more structured management systematization. So on this research platform in use that is nextcloud, Where the private cloud concept designer can only add users and storage. And in accessing nextcloud based Local Area Network (LAN), the designer to take advantage of to change the IP DNS server into a domain that the user or more designers nextcloud easy access to the internet.Nextcloud
Application of Expert System for Diagnosing Gastric Disease Android Based with Certainty Factor Method Avicienna Adhi Narendro Purnomo; Septi Andryana; Agus Iskandar
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.539 KB) | DOI: 10.35335/cit.Vol12.2020.17.pp7-15

Abstract

Expert systems are computer programs that mimic reasoning an expert with expertise in an area of knowledge, the present study, how to diagnose diseases of the stomach to build an expert system that can analyze the symptoms of the disease into a decision, the method Cerataity Factor as a method for calculating confidence in the value provided by the patient's symptoms. The purpose of this study is to provide convenience to the public for mediagnosa a disease of the stomach suffered and gave information about diseases of the stomach and provide solutions when terjankit gastric diseases. Of the many diseases in carefully then there are various symptoms sample to meet the needs of the weights that have been defined by experts.
Web-Based Expert System for Diagnosing Human Eye Disease Using the Naïve Bayes Method Ahmad; Ucok Darussalam; Benrahman B
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1030.624 KB) | DOI: 10.35335/cit.Vol12.2020.18.pp16-25

Abstract

The eye is one of the organs of the body that is very important for humans, so it must be kept in good health, but as humans age and the unhealthy lifestyle of many people in Indonesia experience problems with their eyes. Based on the existing problems this study discusses the application of expert systems to diagnose eye diseases. The data used for the study consisted of 22 symptoms and 5 eye diseases. Expert system that was built using the Naïve Bayes method. There are two stages of work from this application. First, the system asks the patient to choose the symptoms they are experiencing. Secondly, the system will automatically display the diagnosis results of the eye disease suffered by the patient through the calculation of Naïve Bayes. This system has advantages compared to the existing system in the reference journal, namely in the design of the symptom page display, making it easier for users to answer according to the symptoms felt. The results of subsequent system diagnoses are compared with the results of diagnoses from actual experts. The system trial used data of 15 eye disease patients. From the experimental results, the percentage of diagnostic suitability of 86%.
Planning Decision Support System Using Building Mall A`HP (Analytical Hierarchy Process) Rizki Amarullah; R. Mahdalena Simanjorang
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (777.897 KB) | DOI: 10.35335/cit.Vol12.2020.19.pp26-33

Abstract

The development of information systems and technology today plays an important role and are very useful in various fields covering all aspects of human life. One of the beneficiaries of the computer and information technology systems in the aspect of human life is in helping determine a decision. PT. Karsa Prima Permata Nusa (KPPN) is a company engaged in the contracting business. In the exercise of business at. KPPN still using manual estimates. As a result of that often appear in this condition is takes a long time to determine the location for a development taking into account the requirements-requirements that already ditentukan.dengan location desired, other than that decisions are rendered ineffective because after the construction of walking occur some problems that do not fit the expected results. One method is a decision support system AHP (Analytical Hierarchy Process). AHP (Analytical Hierarchy Process) is a model of decision support system will spell trouble multi-factor or multi-criteria complex into a hierarchy, the hierarchy is defined as a representation of a complex problem in a structure of interest, which follow the level of the factors, criteria, and so on down to the last level.
Implementation of Pierce Similarity Distance Algorithm to Detect Harfu Jar In the Quran As a Basic Learning media Of Arabic Language Science Miftahul Jannah; Adli Abdillah Nababan
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1439.079 KB) | DOI: 10.35335/cit.Vol12.2020.20.pp34-40

Abstract

Arabic is a language that is rich in rules and rules in composing sentences and understanding speech. As we know, a collection of Arabic languages ​​is found in the Holy Qur'an of the Islamic Ummah. In the Al-Quran there are many jar letters that have special meanings in each letter. In Arabic language rules, In the Letters jar is a letter whose job is to give a hard line in the sentence in front of it. The purpose of this study is to build a basic Arabic learning media in detecting JAR letters using the pierce similarity method. In building the system, an image processing theory approach is carried out. The stages of the detection system process begin with the file.bmp extension process of the original image, then resizing, namely the process of placing the image to the specified coordinate points, Grayscale, convolution or edge detection and distance calculation with Pierce similarity where this algorithm will store the value of bits in the pattern of letters that are trained and then will match the values ​​in the image to be tested. Input image is the result of drawing the verses of the Quran.

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