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Karona Cahya Susena
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INDONESIA
Jurnal Komputer, Informasi dan Teknologi
Published by Indonesian Journal Publisher
ISSN : 2807256     EISSN : 28072588     DOI : https://doi.org/10.53697/jkomitek.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims to provide a highly readable and valuable addition to the literature that will serve as an indispensable reference tool for years to come. The scope of the journal includes all new theoretical and experimental findings in the field of Computers, Information and Technology or any closely related field. The journal also encourages submission of critical review articles covering advances in the latest research in the field of Computers, Information and Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 377 Documents
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Application of Parking Retribution Income Forecasting at PT Bumi Daya Plaza Bengkulu City Using Trend Method Non Linear Squadratic Model Nugraha, Fido Rama; Wahyudi , Jusuf; Kurniawansyah , Arius Satoni
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.783

Abstract

The calculation of parking retribution income which has been managed by PT. Bumi Daya Plaza Bengkulu City used Microsoft Excel application. Data processing is only limited to revenue recapitulation. Then a forecasting application will be made that will be used to forecast future income, for the benefit of the company by using Trend Method Non-Linear Quadratic Model. Trend Method NonLinear Quadratic Model is a trend in which the value of the dependent variable increases or decreases linearly or a parabola occurs when the data is made a scatter plot (the relationship between the dependent and independent variables is quadratic) tend to be in one direction (up or down), such trends generally include movements lasting about 10 periods or more. This motion reflects the nature of continuity or a continuous state from time to time over a certain period of time, because of the nature of this continuity, the trend is considered a stable motion so that in interpreting it a mathematical model can be used, according to the circumstances and the time series data itself. Trend can be a straight line (regression/linear trend) or non-straight (regression/non-linear trend). The results obtained are derived from the processing of income for the last 12 months using Trend Method Non-Linear Quadratic Model. With data that has been processed from January 2020 to December 2020, it produces income forecasting at the T001 parking point of Rp. 467,272 and at the T002 parking point of Rp. 15,814,697 in January 2021. By using Trend Method Non-Linear Quadratic Model can determine forecasting/ prediction of parking retribution income in the future using preexisting data.
Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center Saputra, Robi; Yulianti , Liza; Elfianty , Lena
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.784

Abstract

At Pajar Bulan Health Center, drug supply data processing is already using office application packages, namely Microsoft Word and Excel. The application package is used for making monthly usage reports, requests and drug supplies. Constraints that often occur are that it takes a long time to manage drug inventory data because they have to record one by one the amount of drug use and the number of drug requests to be made. The number of requests is carried out every month by looking at the latest drug supply, if the stock starts to run low then a request is made. However, it is possible that the stock has run out before making a request, this results in a lack of drug supply management. Drug data clustering is carried out based on the amount of supply and the number of requests for drugs at the Pajar Bulan Health Center through the K-Means Clustering Method approach. To help cluster the drug data, an application was built using the Visual Basic .Net programming language and SQL Server 2008r2 database. Clustering of drug data is carried out in units of pcs in 2021 where the amount of inventory is reduced by the number of requests for drugs, so that the results obtained are 2 drugs enter cluster I and 27 drugs enter cluster II. good and the application can help the Pajar Bulan Health Center in knowing the grouping of drug data based on 2 groups, namely the few clusters and the large clusters
Comparative Analysis of Certainty Factor Methods and Dempster Shafer Methods in Pest Management in Hydroponic Vegetables (Case Study: Celebes Hydroponics Bengkulu) Handayani, Elya; Asnawati, Asnawati; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.785

Abstract

Celebes Hydroponics is one of the hydroponic vegetable cultivators in Bengkulu City. At Celebes Hydroponics, there are various kinds of hydroponic vegetables grown, namely Pakcoy, Sawi, Kailan, Kale, Pagoda, Lettuce, Spinach, Kangkung, and others. So far, the handling of hydroponic vegetable pests has been carried out by employees at Celebes Hydroponics with the direction of expert cultivators (the owner of Celebes Hydroponics). However, problems occur when expert cultivators are not available when pests attack hydroponic vegetables. This makes it difficult for employees to handle these pests because so far they have always received guidance from expert cultivators. The expert system for controlling pests on hydroponic vegetables at Celebes Hydroponic Bengkulu is used to make it easier for employees to overcome problems faced by hydroponic vegetables, especially vegetable pests. This expert system was created using the Visual Basic .Net programming language which can be accessed by Celebes Hydroponic Bengkulu employees. This expert system application was created to help make it easier for employees at Celebes Hydroponics to identify pests that attack hydroponic vegetables by entering the symptoms experienced. Of course this will speed up handling when you know the pests that attack the hydroponic vegetables. Based on the tests that have been carried out, the functionality of the pest management expert system on hydroponic vegetables at Celebes Hydroponics Bengkulu runs as expected, and the application is able to display the results of pest diagnosis on hydroponic vegetables from the selected symptoms
Clasterization Of Data Using Contraceptive Equipment At Puskesmas Kampung Bali, Bengkulu City Using K-Means Method Tessa, Prara Sindia Citra; Yulianti , Liza; Sari , Herlina Latipa
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.786

Abstract

Kampung Bali Health Center is one of the health centers in Bengkulu City. The health center serves the family planning program by providing contraceptives, such as pills, injections, condoms, IUDs, and implants. The data processing on supplies and expenditures of contraceptives is done manually by filling in the form provided. It will be recapitulated by the officer to know the use of contraceptives for 1 year. Unfortunately, this procedure is not efficient because it takes time and sometimes there are miscalculations that cause errors in determining the supply of contraceptives. Moreover, the health center needs data on most in demand and least desirable contraceptives. The application of data clusterization on contraceptive use at the Kampung Bali Health Center in Bengkulu City is used to assist the Health Center in managing monthly contraceptive data, and to assist the Health Center in finding out which contraceptive information is most in demand and the least desirable. The K-Means Clustering methodology applied in this research is used in order to divide the contraceptive data into 2 groups; Cluster C1 (the most popular) and Cluster C2 (the least desirable) based on an analysis of the amount of supply and use of contraceptives. There are 60 participants in this study, where Cluster C1 consisted of 24 data and Cluster C2 consisted of 36 data, with the percentage value of C1 clustering 40% and C2 60%. Based on the test, it shows that the functional application of clustering data on contraceptive use at the Kampung Bali Health Center in Bengkulu is running well. It also give beneficial information about data clasterization of contraceptives.
An Expert System For Diagnosing Tonsylliti Disease Using Web-Based Forward Chaining Method Ramadiansyah, Feri; Sari , Herlina Latipa; Prahasti , Prahasti
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.787

Abstract

Tonsillitis is inflammation of the palatine tonsils, which are part of the Waldeyer ring. Spread of infection through air borne droplets, hands and kissing. 4,5 Tonsillitis is more common in children aged 5-15 years with a prevalence of bacterial tonsillitis 15-30% in children with throat disorders and 5-15% in adults with throat disorders. The author received data that in the past year there were 63 patients suffering from tonsillitis, both acute and chronic. It can be concluded that every month there are 5-6 people from various regions in Bengkulu Province who suffer from tonsillitis and receive treatment at the Rafflesia Hospital. But the problem in the medical world is an imbalance between patients and doctors. In addition, most people are not medically trained, therefore the author intends to design an "expert system for diagnosing Tonsillitis using a web-based forward chaining method" which can be accessed through http://www.sistempakarfc1.my.id/. This application is expected to be used for the community in early diagnosis as prevention of more severe disease. This system is designed using the PHP programming language and MySQL database, the resulting expert system is able to help patients diagnose Tonsillitis and provide solutions to the disease. From the test results, the results obtained 100% functionality runs according to system requirements. In the system accuracy test carried out at Rafflesia Hospital, a very good accuracy value was obtained, which was 90% of the 10 sample data available.
A Decision Support System For The Selection Of Exemplary Students With AHP Method At SMP IT Generasi Rabbani Of Bengkulu City Junizar, Wansa S; Suranti , Dewi; Alamsyah , Hendri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.788

Abstract

To increase the enthusiasm of the students of SMP IT Generasi Rabbani Bengkulu, the school gave awards to exemplary students. By making an assessment of Morals, Academics and Worship. However, to determine the model students of SMP IT Generasi Rabbani Bengkulu, so far, they still use the manual calculation method which takes a lot of time and the risk of calculation errors is large. One method that can be used to solve the problem is the Analytical Hierarchy Process (AHP) method, because the AHP method is able to solve multicriteria problems with the stages of determining the priority of elements, making a pairwise comparison matrix of criteria and sub-criteria, normalizing the matrix, as well as ranking and decision results. This study aims to build a decision support system application for selecting exemplary students using Visual Basic. Net and SQL Server 2008r2 Database at SMP IT Generasi Rabbani Bengkulu therefore it can help the school to determine and select prospective exemplary students quickly and accurately based on predetermined criteria. From the results of functional testing carried out on the application, it is found that some of the functions contained in the application can run well. And the results of the comparison show that there are differences in the value of each student and are able to provide a ranking order of student scores from the highest to the lowest score. Based on the results of research conducted, the AHP method is able to provide convenience in the decision-making process quickly and precisely for the selection of exemplary students therefore the highest score is 0.53 and the lowest value is 0.24.
The Implementation Of Naive Bayes Method In Classification Of Good And Problem Customers At PT. Adira Finance Gustina, Titi; Asnawati, Asnawati; Kanedi , Indra
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.789

Abstract

The problem that often arises is the number of customers who have problems paying installments, so the collectibility is not smooth. Customer installment payments affect their performance and existence in everyday life. We need a way to find out how the customer's installment payment pattern is so that it can be classified whether the customer is good or problematic so that the company can overcome the problem early on. The implementation of Naive Bayes Method in the classification of good and problem customers at PT. Adira Finance is a platform that can be used to determine whether a customer is classified as a good customer or a problem customer based on 4 (four) aspects of the assessment. The 4 (four) aspects of the assessment are financing, installments, time period, and income. The classification of customer data is done by comparing the training data that has been previously inputted with the test data for which you want to know the classification. The final result of the classification is the probability value of good and problematic customers by looking at the highest value. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the application for determining customer classification is good and has problems at PT. Adira Finance has run as expected and the application is able to display the results of the classification of good and problem customer data.
Application of K-Means In Grouping Tourist Visits To Bengkulu Province Tourist Attractions Saputra, Harjoni; Sari , Herlina Latipa; Elfianty , Lena
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.790

Abstract

The management of attractions needs the support of Bengkulu Province Tourism Office, which is one of the government agencies in Bengkulu province. Every month a data collection on the number of visits to each tourist attraction in Bengkulu province will be carried out. From the large number of visit data that is calculated every year, Bengkulu provincial tourism office has difficulty in knowing the number of tourists and also difficulties in identifying which tourist objects are visited the most and least visited. The application for grouping tourist visits to tourist objects in Bengkulu province was made using the Visual Basic.net programming language and SQL Server 2008 data base by applying the Clustering Method, namely K-Means, the grouping was based on data on the number of tourist attraction visits for 12 months from January 2019 to with December 2019 which was divided into 4 attributes, namely Individual Adults (DP), Group Adults (DR), Individual Children (AP), and Group Children (AR). The data clustering process was carried out by dividing into 3 groups, namely Cluster 1 (high number of tourist visits), Cluster 2 (medium number of tourists) and cluster 3 (low number of tourists). Based on the results of the tests that have been carried out, the application for grouping tourist visits to tourist attractions in Bengkulu province has been successfully carried out, and can provide information based on 3 groups, namely Cluster C1 (high), Cluster C2 (medium) and Cluster C3 (low), as well as functionalities of the application. has worked as expected.
The Implementation Of Internet Small Computer System Interface (ISCSI) Protocol Based On Linux Centos As External Storage On Windows Gustardi, Rion; Sari , Herlina Latipa; Aspriyono , Hari
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.791

Abstract

This study aims to build a router in a computer network using a proxy, implement an external proxy server on a mikrotik router and implement caching on a local network. In this study, the action research method will be used, where the action research method can provide an overview of the stages of research that the writer needs, because the writer requires an analysis or diagnosis of the system that is currently running. The results of this study indicate that an external proxy server using clearOS linux with the squid application can be applied to a proxy router with a transparent proxy, so that clients to connect to the internet network at PT. Mega Maju Perkasa Bengkulu City must pass a proxy server first. The caching system can store caches of sites accessed by clients, from the tests that have been carried out there are data reports with 50 cache hits and 11% cache stored. In addition, the application of an external proxy server on the proxy router does not reduce the quality of service on network at PT. Mega Maju Perkasa Bengkulu City
The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi Suhardi, Nadia Elisa; Maryaningsih, Maryaningsih; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.792

Abstract

In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.

Page 22 of 38 | Total Record : 377

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