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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
 1 
Search results for , issue "Vol 11 No 2 (2019): Informatik" : 5 Documents clear
Decision Support System For Supplementary Food Recipients (PMT) By Using The Simple Additive Weighting (SAW) Method Maulisa Puspa
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.856 KB) | DOI: 10.35335/cit.Vol11.2019.11.pp37-44

Abstract

Additional Food Recipients (PMT) is a program that is held in every village, especially in the Kubah Sentang Village, which is budgeted annually by the Village Officials through the APBN Fund. The importance of PMT for this Kubah Sentang village is because the poverty rate is quite high reaching 65% and the nutritional intake obtained is very limited especially for toddlers aged 6-59 months. This has led to the need to build a system that can facilitate government agencies, especially in the Kubah Sentang Village Office to select additional food recipients using a Decision Support System with the Simple Additive Weighting (SAW) method. Decision support systems are very necessary in government agencies, especially in the Kubah Sentang Village Office to select recipients of supplementary food (PMT) for the community. The determination of the criteria for additional food recipients is determined from the age of the baby, nutritional status, income of parents, and class of electric power. This study also produced a system that was able to display recommendations for prospective supplementary food recipients with the results of criteria and preference weights that were determined by the system's needs.
Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method Ernita Situmorang; Fristi Rindari
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.903 KB) | DOI: 10.35335/cit.Vol11.2019.12.pp45-50

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) Nurhazmi Hawari; Iskandar Fitri; Andri Aningsih
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.628 KB) | DOI: 10.35335/cit.Vol11.2019.13.pp51-58

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.
Building Virtual Private Server In Net-Centric Computing Laboratory Aris Kurniawan Yusuf; Ade Hendri Hendrawan; Yuggo Afrianto
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.537 KB) | DOI: 10.35335/cit.Vol11.2019.14.pp59-65

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.
Comparison Of Jenkins Box Method And Multiple Linier Regression In Predicting The Noble Metal Price Bayu Gunara; Yennimar Yennimar
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.418 KB) | DOI: 10.35335/cit.Vol11.2019.15.pp66-73

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%.

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