cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Syaifudin
Contact Email
jurnal_intelmatics@trisakti.ac.id
Phone
+628129513950
Journal Mail Official
jurnal_intelmatics@trisakti.ac.id
Editorial Address
Building E, floor 4, Department of Informatics Engineering, Universitas Trisakti
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Intelmatics
Published by Universitas Trisakti
ISSN : -     EISSN : 27758850     DOI : https://doi.org/10.25105/itm
Core Subject : Science,
Computer Science & IT
The IntelMatics Journal is a scientific journal published by the department of informatics engineering at Trisakti University. The purpose and objective of the publication of the IntelMatics journal are as a means of dissemination of international standard science in the field of software engineering, information security, and business analysis in the scope of data intelligence and visualization. Journal will be published every sixth month
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 40 Documents
 1   2   3   4 
Inventory Container Information System at PT. Sarana Bandar Nasional Trias Hendra Rasyid; Teddy Siswanto
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.3919

Abstract

Inventory information system is a collection of procedures that are useful for generating inventory information in the company. The system is required by PT. SBN as a service provider of loading and unloading of container goods. PT. SBN must ensure that the container stock available at the port in each branch continues to meet customer needs. The methodology used in developing this system is the waterfall model. At the requirement stage, researchers conduct interviews to user PT. SBN regarding their needs. Then at the design stage researchers create flowchart, DFD, ERD, and application display design. Researchers create a web-based container inventory information system that can provide container availability information in all branches. Availability information can be obtained from transaction data inputted to the system. Transaction data produces a graph to determine the quantity of output information and the container input from the port. This can help the management to make decisions regarding maximum stock levels and minimum containers at each port. Applications in the form of this final prototype have been demonstrated to the PT. SBN and get a good rating because it can run as needed.
The Application Of Web-Based Online Parking Reservation Rezky Ario Akuba; Teddy Siswanto
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.3947

Abstract

The availability of parking lots being unresolved problems on the campus of Trisakti University because of the many civitas akademika which carries cars and limited parking. Parking system in use today is still the conventional with the regulations by parking attendants. For it is required an online parking reservation application system based web in addressing these barriers. The design of this system using the method Waterfall in the development of the system.Research methods the Analysis consists of a Waterfall will analyze problems and needs through the collection of data for the application of web-based online parking reservation, then proceed with the Design phase to make the draft application the system interface. Model design of engineering system using Activity diagrams, Use Case diagrams, Sequence Diagrams, and Class diagrams.From the results of the performed system design there are three actors, namely, the first User who can see the availability of the parking lot to do a parking reservation, among others, can choose the dates, hours, and parking lots so as to obtain a unique code to enter parking . The second is the actor who can do Admin input availability of parking in any parking area is available to perform a unique code input arrival and unique code input out of the user to receive parking costs which have been calculated from the system. The third actor i.e. Owner can perform the input the date, the hour, the land, types of vehicles, parking fee and can see the transaction reports. Class diagrams are formed is User, reservations, deals, Timeline, Rates for parking, and the type of vehicle.
Perolehan Informasi Kembali (Information Retrieval/IR) Menggunakan Topic Modelling untuk Dataset Tempo Wilda Anggriani; Syandra Sari; Anung B. Ariwibowo; Dedy Sugiarto
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.5030

Abstract

In the era of technology as it is today, many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information., many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information.Search engines really help humans to get information. Usually the search engine is one example of information retrieval (Information Retrieval / IR). Documents that produced by search engines are relevant documents based on user requests.In this study, the author implemented the IR process to find relevant documents based on existing queries. The results will be compared with relevant documents from previous research using the same dataset, namely the Tempo dataset from 2000 to 2002. This can find out how far the performance of the method used in this research is based on previous research. The method used in this research is the doc2vec method.From the results obtained using the doc2vec model, the smaller the epoch on the doc2vec model, the smaller the results of the average percentage similarity between the relevant documents produced by the doc2vec model and the relevant documents beforehand. While the results of the percentage similarity average of the doc2vec model are based on the vector size which is after the vector size 30 the result is above 35%. Epoch which produces the highest percentage average is epoch 25 from epoch 25, 50, 75, and 100. Vector size that produces the highest average percentage similarity is vector size 40 from vector size 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100. The highest results of the highest percentage similarity are generated by the doc2vec model that uses epoch 25 and vector size 40 is 41,930. In the era of technology as it is today, many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information., many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information.Search engines really help humans to get information. Usually the search engine is one example of information retrieval (Information Retrieval / IR). Documents that produced by search engines are relevant documents based on user requests.In this study, the author implemented the IR process to find relevant documents based on existing queries. The results will be compared with relevant documents from previous research using the same dataset, namely the Tempo dataset from 2000 to 2002. This can find out how far the performance of the method used in this research is based on previous research. The method used in this research is the doc2vec method.From the results obtained using the doc2vec model, the smaller the epoch on the doc2vec model, the smaller the results of the average percentage similarity between the relevant documents produced by the doc2vec model and the relevant documents beforehand. While the results of the percentage similarity average of the doc2vec model are based on the vector size which is after the vector size 30 the result is above 35%. Epoch which produces the highest percentage average is epoch 25 from epoch 25, 50, 75, and 100. Vector size that produces the highest average percentage similarity is vector size 40 from vector size 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100. The highest results of the highest percentage similarity are generated by the doc2vec model that uses epoch 25 and vector size 40 is 41,930.
Ekstraksi Informasi Menggunakan Named Entity Recognition dan Pembuatan Association Rule Pada Dokumen Direktori Putusan Mahkamah Agung Republik Indonesia Muhammad Rizky Fadila Afgan; Syandra Sari; Anung B. Ariwibowo; Dedy Sugiarto
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.5031

Abstract

Land is fundamental to the needs of human life. Humans carry out activities on the ground, so that they are obstructed from getting all human activities both directly and indirectly carried out on the ground. Land is a natural resource that is given by God Almighty to the Indonesian people as national wealth and is a means of meeting all life activities that are important for human life. In this case everyone must need land. Land is often used as a case by disputes, because of the limited area of landInvolved a lot of land The author will extract information in the Directory file Decision Mahkmah Agung is done to produce a named entity taken from the file. PDF extracted. In this study, the author uses the introduction of an entity named (NER Entity Recognition or NER). NER is used to retrieve named entities. After that the author uses the Association Rule to inform data in the form of graphs for analysis Land is fundamental to the needs of human life. Humans carry out activities on the ground, so that they are obstructed from getting all human activities both directly and indirectly carried out on the ground. Land is a natural resource that is given by God Almighty to the Indonesian people as national wealth and is a means of meeting all life activities that are important for human life. In this case everyone must need land. Land is often used as a case by disputes, because of the limited area of land                                Involved a lot of land The author will extract information in the Directory file Decision Mahkmah Agung is done to produce a named entity taken from the file. PDF extracted. In this study, the author uses the introduction of an entity named (NER Entity Recognition or NER). NER is used to retrieve named entities. After that the author uses the Association Rule to inform data in the form of graphs for analysis
Perancang Data Warehouse Dan Visualisasi Data Mutu Penerimaan Beras Nita Chairunnisa; Dedy Sugiarto; Teddy Siswanto
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.5037

Abstract

Rice is a staple food consumed by a large portion of the Indonesian population. Each region has its own rice production so that it has different qualities.. Indonesia itself has specific standards for good quality rice. In order for rice can be distributed evenly throughout the archipelago, Indonesia has a rice management organization, one of which is PT Food Station Tjipinang Jaya. Rice from various suppliers must be recorded and checked for quality. Making a Data Warehouse needs to be implemented so that it is easily collected and analyzes the data received and can be used as a reference for decision making. To build a data warehouse can use Extract, Transform and Load (ETL) available in Pentaho Data Integration. Data that has been entered into the data warehouse can be visualized using Python to make further decisions.
DEVELOPMENT OF PUSKESMAS LOCATION SEARCH APPLICATIONS IN DKI JAKARTA USING HARVESINE METHOD Difa Bagas Atmaja; Syaifudin; Teddy Siswanto
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.5040

Abstract

The development of this application aims to produce information from the raw data of health centers in the DKI Jakarta province in 2017 which are still in the form of datasets for later data sets to be processed into an information center where this application focuses on searching the location of the puskesmas. This application uses the harvesine formula as the method of searching for the nearest health center and the waterfaal model as its development method. Using Puskesmas spatial data in the form of latitude and longitude coordinates and non-spatial data in the form of names, addresses and so on are processed into useful information for the Indonesian people, especially those in the DKI Jakarta province to make it easier for people to access information on community health centers.
Designing Data Warehouse For Forecast and Data Visualization of Sales Nutrition Products Jeany Fadhilah Agatha Siahaan; Dedy Sugiarto; Teddy Siswanto
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.5235

Abstract

Sales data can be processed in such a way that it can become information that is used as material for analysis and consideration in making decisions. This study aims to visualize PT XYZ sales data for nutritious intake products and predict sales figures for 2018 and 2019. Data is obtained directly from PT XYZ by submitting a request for data withdrawal. Data on sales of nutritious beverage products for the last 5 years are processed using Pentaho tools with ETL method (extract, transform, load) then predicted sales figures for 2019 using R programming language with ARIMA and Holt-Winters methods after which data will be visualized using Powe BI so that the display of data presentation is more interesting and informative. To find out the compatibility in using the forecasting method, the writer will compare RSME numbers from both methods and use the method with the smallest RSME number.
Business Intelligence Design for Data Visualization and Drug Stock Forecasting Novenia Eka Warestika; Dedy Sugiarto; Teddy Siswanto
Intelmatics Vol. 1 No. 1 (2021): January
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i1.7407

Abstract

Klinik Pratama is one form of service provided by the Ministry of Communication and Information of the Republic of Indonesia in protect employees from health disorders that could affect employee productivity. In its development, the clinic often finds problems, one of them is often a shortage or excess the drug stock on a running period. Therefore, it be required a design of an Business Intelligence that manages complex data into a data visualization forecasting of the future stock of drugs. Historical data processing of the drug is done with process of Extract, Transform and Load (ETL) using the Spoon Pentaho Data Integration tools. While the visualization of drug stock data and forecast results is done using Microsoft Power BI (Business Intelligence) tools and for forecasting is done with Artificial Neural Network method by RStudio tools. The results of forecasting the amount of stock out of drug samples using the Artificial Neural Network method obtained an MSE value of 67.72 and RMSE 8.22 which means that this forecast has a good ability with the resulting error rate is relatively small. From this research, the Klinik Pratama of the Ministry of Communication and Information can easily understand and analyze drug stock data and can support operational decision making The results of forecasting the amount of stock out of drug samples using the Artificial Neural Network method obtained an MSE value of 67.72 and RMSE 8.22 which means that this forecast has a good ability because the resulting error rate is relatively small. From this research, Klinik Pratama of the Ministry of Communication and Information can easily understand and analyze drug stock data and can support operational decision making The results of forecasting the amount of stock out of drug samples using the Artificial Neural Network method obtained an MSE value of 67.72 and RMSE 8.22 which means that this forecast has a good ability with the resulting error rate is relatively small. From this research, Klinik Pratama of the Ministry of Communication and Information can easily understand and analyze drug stock data and can support operational decision making.
VISUALIZATION OF FORECASTING NUMBER OF PATIENTS VISITING IN PRATAMA CLINIC USING ARIMA METHOD Mardiani Trisno Putri
Intelmatics Vol. 1 No. 1 (2021): January
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i1.7427

Abstract

The Primary Clinic of the Ministry of Communication and Information of the Republic of Indonesia had a problem that is difficulty in predicting the number of patient visits resulting in a buildup of patients in the clinic. For this reason, it is necessary to forecast patient visits in order to be the basis for planning for the next period and become a material consideration for decisions in clinical development. The research method was conducted using ARIMA by utilizing historical data on clinic visits from 2014-2019. The processed results in RStudio in the form of prediction data for patient visits in 2020-2021 are visualized on a website that uses the PHP Codeigniter framework and is integrated with RStudio. The results of visit forecasting based on services using the ARIMA method have good forecasting abilities, because the MAPE values are in the range of <10% and 10-20%, namely 19.58% and 9.62%.
KNOWLEDGE MANAGEMENT SYSTEM PROVISIONS ON THE IMPORT OF CONSIGNMENTS AT CUSTOMS AND EXCISE SUPERVISION AND SERVICE OFFICE PASAR BARU Tri Cendekia Dewi; Syaifudin Abdullah; Teddy Siswanto
Intelmatics Vol. 1 No. 1 (2021): January
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i1.7762

Abstract

The activity of importing goods has the potential to experience obstacles or problems in the processing through Customs and Excise due to various kinds of requirements that must be met. So that knowledge management is needed by importers who will carry out import activities because it can increase knowledge in the process and delivery requirements. In order to maximize knowledge, efforts need to be made to create a website-based knowledge management system that is expected to be a solution to these needs. The method used in this study is the Becerra-Fernandez framework method for data collection and processing in determining knowledge management solutions. It also uses the waterfall method for system development using the System Development Life Cycle (SDLC) approach.

Page 1 of 4 | Total Record : 40

 1   2   3   4 

Filter by Year

2021 2023


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2023): Juli-Desember Vol. 3 No. 1 (2023): Januari-Juni Vol. 2 No. 2 (2022): Juli-Desember Vol. 2 No. 1 (2022): Januari-Juni Vol. 1 No. 2 (2021): Juli - Desember Vol. 1 No. 1 (2021): January