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Naety
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jurnalmedicom@iocscience.org
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+6281381251442
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jurnalmedicom@iocscience.org
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INDONESIA
Jurnal Teknik Informatika C.I.T. Medicom
ISSN : 23378646     EISSN : 2721561X     DOI : -
Core Subject : Science,
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.
Articles 20 Documents
PLANNING DECISION SUPPORT SYSTEM USING BUILDING MALL A`HP (ANALYTICAL HIERARCHY PROCESS) Amarullah, Rizki; Simanjorang, R. Mahdalena
Jurnal Teknik Informatika C.I.T Vol. 12 No. 1, March (2020): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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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 Jannah, Miftahul; Nababan, Adli Abdillah
Jurnal Teknik Informatika C.I.T Vol. 12 No. 1, March (2020): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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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.
NEXTCLOUD 2 TERABYTE LAN NETWORK-BASED SERVER BY USING THE UBUNTU LTS 16.04 Marbun, Richard Ronaldo; Fitri, Iskandar; Iskandar, Agus
Jurnal Teknik Informatika C.I.T Vol. 12 No. 1, March (2020): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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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 Purnomo, Avicienna Adhi Narendro; Andryana, Septi; Iskandar, Agus
Jurnal Teknik Informatika C.I.T Vol. 12 No. 1, March (2020): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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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; Darussalam, Ucok; B, Benrahman
Jurnal Teknik Informatika C.I.T Vol. 12 No. 1, March (2020): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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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%.
COMPARISON OF JENKINS BOX METHOD AND MULTIPLE LINIER REGRESSION IN PREDICTING THE NOBLE METAL PRICE Gunara, Bayu; Yennimar , Yennimar
Jurnal Teknik Informatika C.I.T Vol. 11 No. 2, Septemb (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Nowadays, gold investment practitioners generally use instinct and guess in investing in gold. This is certainly a problem because it has a high error margin. To solve these problems, the forecasting process can be carried out.To be able to forecast gold prices with low error rates, various studies have been conducted. The Box-Jenkins method performs better than other methods in predicting the price of gold, because the Box-Jenkins method applies forecasting by relying on the historical statistics of gold prices beforehand. The Box-Jenkins method is an iterative of choosing the best model for the stationary series of a group of linear time series models called the ARIMA (Autoregressive Integrated Moving Average) model. However, the ARIMA method is a complex method and is not easy to use and requires a long execution time to obtain forecasting results with a high degree of accuracy. To improve the accuracy of prediction results from ARIMA, the ARIMA method can be combined with the multiple regression method into a hybrid method. The Multiple Linear Regression Method is a mathematical technique that minimizes the difference between the actual value and the predicted value.The results of this study are an application of forecasting the price of gold using the ARIMA method and Multiple Linear Regression. The application also provides a facility to test the results of the methods used. Based on the results of testing the accuracy of the prediction results from the hybrid method with 30 data = 48%, 60 data = 40%, and 118 data = 40.81%.
BUILDING VIRTUAL PRIVATE SERVER IN NET-CENTRIC COMPUTING LABORATORY Yusuf, Aris Kurniawan; Hendrawan, Ade Hendri; Afrianto, Yuggo
Jurnal Teknik Informatika C.I.T Vol. 11 No. 2, Septemb (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The use of server computers in an institution is managed according to required needs and functions. But as time goes on the server needs to increase. The NCC Laboratory as a research laboratory requires a server management mechanism for utilities that have a private server space to support each of its research. Server researchers, currently running on the computer's respective physical server so that the emergence of limitations of the availability of physical server computers to new researchers, while the utility computer server researchers who have already run in the taste still the operating system. Therefore the purpose of this research is to build a VPS (Virtual Private Server) system in one computer for the personal space of researchers to manage the research content in the form of Web-based applications. The methods used in this study were experiments with stages of analysis, design, implementation, and testing. The operating system used is Linux Proxmox as virtual Manager, Ubuntu and CentOS as VPS. The result of this research VPS can be applied to support the needs of researchers using Linux operating system Ubuntu server and CentOS-based virtual manager Proxmox.
DECISION SUPPORT SYSTEM FOR SELECTION OF THE BEST DOCTORS IN SARI MUTIARA HOSPITAL USING FUZZY TSUKAMOTO METHOD Situmorang, Ernita; Rindari, Fristi
Jurnal Teknik Informatika C.I.T Vol. 11 No. 2, Septemb (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The doctor is one of the most important things that works to improve sick people. This research proposes to discuss and build a decision system for the selection of the best doctors that can help the selection of the best obgyn doctors using the Fuzzy Tsukamoto method by outlining the code of ethics for medicine, education, service systems, and years of service. The Tsukamoto method is a method that uses membership functions. With this method the optimal solution is sought from certain alternatives and suggestions. In this study, the study conducted research in the Sari Mutiara Lubuk Hospital so that it chose the best doctor on target.
BACKUP LINK REVIEWED LAYER DISTRIBUTION METHOD USING VIRTUAL ROUTER REDUNDANCY PROTOCOL (VRRP) Hawari, Nurhazmi; Fitri, Iskandar; Aningsih, Andri
Jurnal Teknik Informatika C.I.T Vol. 11 No. 2, Septemb (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Internet networks run 24 hours a day and must provide a stable performance and reliable, the networks of local SMK Tridharma Budhidaya there is only one router and when the router such disturbances then the internet at the school disrupted and therefore to prevent the internet is not happen down the proposed use by implanting method Backup Router Virtual Router redundancy Protocol (VRRP) After that is done four stages of testing and Througputh Loss Package. Software testing is done using Wireshark results in Loss Package testing get 10, 20, 30, 40, 50, 60 Minutes yield value of 0.43%, 0.21%, 0.20%, 0.10%, 0.8% , 0.10% Loss Package Referring TIPHON below 3% is quite good and the testing Througputh for 10, 20, 30, 40, 50, 60 minutes, producing a value 275Bit / s, 280 Bit / s, 282 bits / s, 282 bits / s, 279 bits / s, 278 bits / s referring to standardize TIPHON that the average yield testing Througputh 279 Bit / s is said to be very good. with this result VRRP method is able to provide solutions when the Main Router encountered a problem and still maintain good quality of the network.
PUBLIC SERVICE ADS ON DISPOSING OF WASTE AWARENESS METHOD USING MOTION GRAPHIC BLENDER Nurfatanah, Nurfatanah; Triayudi, Agung; Hidayatullah, Deny
Jurnal Teknik Informatika C.I.T Vol. 11 No. 1, Maret (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

At present many community service announcements about waste are made using 2D animation with motion graphic methods using some supporting software. In making these advertisements to produce a whole video using some software. This makes the computer's performance slow due to the large number of applications installed and the process of completing the video making takes a long time. Here the author aims to make public service announcements about waste using 3D quality motion graphic blender methods. This animated ad was created using only the blender software at each stage. This ad contains an invitation to the public to properly dispose of waste in place with a combination of motion graphic techniques so that the ad becomes visually appealing. From the results of the rendering test which produced a 2 minute 38 second video which is equal to 3953 frames, the video test found less smoothness of character's hand movements because the keyframe distance was only 14 frames, in motion graphic testing using 100% alpha video results in accordance with the storyboard designed, then in the rendering test using 5 different PC specifications, the conclusion is that the more memory and HDD the PC uses, the less time to complete the rendering process. From 5 times the recommended testing is 8 GB RAM memory and 1 TB HDD with a rendering time of 4 minutes 37 seconds.

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