Journal of Intelligent Decision Support System (IDSS)
An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early 1980s to describe components of management systems, but the term "Intelligent decision support system" is thought to originate with Clyde Holsapple and Andrew Whinston in the late 1970s. Examples of specialized intelligent decision support systems include Flexible manufacturing systems (FMS),intelligent marketing decision support systems and medical diagnosis systems. Ideally, an intelligent decision support system should behave like a human consultant: supporting decision makers by gathering and analysing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions. The aim of the AI techniques embedded in an intelligent decision support system is to enable these tasks to be performed by a computer, while emulating human capabilities as closely as possible.
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157 Documents
<![CDATA[Utilization of Instagram as a public relations publication media for the central statistics agency of Blora district ]]>
<![CDATA[Yudhista, Arya]]>;
<![CDATA[Mahendra P, Angga Intueri]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.186
<![CDATA[This research is based on the increasingly widespread use of social media among the public and also government agencies. Instagram has become a social media that is increasingly used to disseminate various information by uploading various photos and videos to attract more audiences. In this case, BPS Blora Regency also participates in utilizing Instagram social media as a space to publish various information related to statistical data, member recruitment, and other interesting information. The management of Instagram social media to attract many audiences also requires the ability of Instagram admin in framing space with audiences in the media. This research will analyze the 4C elements described by Chris Heur regarding the use of social media which include Context, Communication, Collaboration, and Connection. In this study, researchers used a qualitative approach with descriptive qualitative research methods. The data collection techniques in this research are interviews and documentation. The conclusion in this research shows that the social media of BPS Blora Regency has described the 4C elements, but it is not optimal in terms of collaboration]]>
<![CDATA[Engineering Design Business Process Modelling Letter C Land Data Archiving System with Software Requirement Specifications Approach ]]>
<![CDATA[Santi, Indyah Hartami]]>;
<![CDATA[Febrinita, Filda]]>;
<![CDATA[Puspitasari, Wahyu Dwi]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.187
<![CDATA[The Pandanarum Village area includes three hamlets, namely Pandanarum, Klampok and Sentul. The status of village land ownership rights is still in the form of Letter C. In 2023, land ownership will be recorded at more than 4,000. The process of collecting data, searching and changing Letter C is still done manually by recording it in the Letter C main book (Registration Book C). Meanwhile, the search process was carried out by flipping through the master book, which resulted in the book becoming torn and damaged. Almost every day some people need services regarding the letter C land data. With a manual process, recording and searching for data takes an average of 2-3 days. This is an obstacle for people who want this data urgently. The solution offered is the need to engineer a village letter C data collection and search system with business process modeling. System development is carried out using the Software Development Life Cycle (SDLC). In this research, the focus is on the initial stage of SDLC, namely Requirements with a Software Requirement Specification (SRS) approach following IEEE standards. This research aims to engineer a business model for data collection and land Letter C searches with the hope of improving the services of village officials in response to requests from the community who need services for data collection, search and changes to land rights they own. The results of this research are the identification of functional and non-functional system requirements analysis, system design in the form of business process models and use case diagrams. The results of this requirements design become the basis for continuing subsequent research.]]>
<![CDATA[Application of the servqual method to increase customer satisfaction in renting tronton trucks ]]>
<![CDATA[Siregar, Syafri Nur Hidayat]]>;
<![CDATA[Puspasari, Ratih]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.191
<![CDATA[This study aims to apply the ServQual and Importance Performance Analysis methods at PT. Srikandi Transolusindo Intilam to increase customer satisfaction in renting tronton trucks. Feelings that arise as a result of an evaluation of the experience of using a product or service, generally if consumers are not satisfied, there will be an exchange of communication with their environment about dissatisfaction with the producer and will affect the company's brand image which will have an impact as a loss and loss of potential new consumers. The method used for the application of the data is the ServQual and Importance Performance Analysis methods, namely the quality control method. The assessment for this method is that there are two main factors regarding the quality of service, namely the perception that the customer has, and the service received by the customer (perceived service) from the service that the customer expects them to receive (expected service). Based on these results, this method can assess customer satisfaction in renting a tronton truck at PT. Srikandi Transolusindo Intilam.]]>
<![CDATA[Design and development of a web-based teacher payroll system at Al-Hikmah Middle School Medan ]]>
<![CDATA[Pamugi, Rizki]]>;
<![CDATA[Br Saragih, Nidia Enjelita]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.192
<![CDATA[The Online Payroll Application for Al Hikmah Middle School in Medan is an innovative solution for efficiently and transparently managing the payroll process within the school environment. This application is specifically designed to meet the financial administration needs of the school, including calculating employee salaries, tax deductions, and maintaining a salary history record. The system leverages cutting-edge technology to ensure data accuracy and security. With the implementation of this application, it is expected to increase efficiency in payroll management, reduce potential human errors, and provide greater transparency in school financial administration.]]>
<![CDATA[Design of noise detection and warning in library reading room using Wemos D1 R2 Based on IoT ]]>
<![CDATA[Sintawati, Andini]]>;
<![CDATA[Windarti, Ira]]>;
<![CDATA[Arrafi, Muhamad Dzammar]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.194
<![CDATA[The library is one of the places needed by the community to improve academic knowledge, get information and become a means for students to learn. Library visitors certainly need a comfortable and quiet atmosphere so they can focus on reading books in the library. But not all visitors understand about the rules that apply to the library. Some visitors come just to chat, thus disturbing other visitors who are reading. Therefore, a system that can monitor the room is needed. The reading room noise detector aims to provide comfort and tranquility to visitors who come to read. the components used in this design are the Wemos D1 R2 microcontroller, DFRobot Analog Sound Sensor V2, DHT11, LCD, and Buzzer. This tool will work if the Sound Sensor detects Sound Intensity of more than 55dB then the Buzzer will be active and the LCD displays "PLEASE LET YOUR VOICE THANK YOU" and sends a notification to the Blynk application. Furthermore, DHT11 will function as realtime temperature monitoring in the room and display it on the LCD and Blynk Application.]]>
<![CDATA[Data Security Analysis with Triple DES Cryptographic Algorithm ]]>
<![CDATA[Sipayung, Liskedame Yanti]]>;
<![CDATA[Purba, Megaria]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v6i4.198
<![CDATA[The Data Encryption Standard (DES) is the first and most significant modern symmetry encryption algorithm. DES was released by the United States' National Bureau of Standards in January 1977 as an algorithm used for unclassified data (information that has nothing to do with national security). Although DES has been widely used in many applications around the world, there are still many controversial issues regarding the security of this algorithm. Therefore, this paper aims to discuss the security analysis of the DES cryptographic algorithm and also the security analysis of the DES algorithm variations, namely Double DES and Triple DES. Because the level of secrecy of the 3DES algorithm lies in the length of the key used, the use of the 3DES algorithm is considered more secure than the DES algorithm. To facilitate the use of the 3DES algorithm, a 3DES algorithm program was created with computer software tools, namely Matlab 7.0.4 which can encrypt and decrypt files with the .txt extension.]]>
<![CDATA[Application of computer vision techniques to detect diseases and pests of chili plants ]]>
<![CDATA[Nurokhman, Akhmad]]>;
<![CDATA[Surorejo, Sarif]]>;
<![CDATA[Kurniawan, Rifki Dwi]]>;
<![CDATA[Gunawan, Gunawan]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v7i1.201
<![CDATA[This research aims to develop a disease and pest detection system in chili plants using computer vision techniques. In this study, deep learning methods, especially Convolutional Neural Networks (CNN), were applied to identify and classify various types of diseases and pests that often attack chili plants. The data used included images of chili leaves infected with various diseases and pests, which were then trained in CNN models to recognize certain patterns that indicate the presence of infection. The results showed that the developed system was able to detect and classify diseases and pests in chili plants with a very high degree of accuracy. The novelty of this research lies in the use of computer vision techniques combined with sophisticated deep learning algorithms to automatically detect diseases and pests, which were previously done manually by farmers or agricultural experts. These findings make an important contribution to improving efficiency and effectiveness in chili crop health management, offering innovative solutions to support agricultural sustainability through the use of advanced technology.]]>
<![CDATA[Transformation of land use change in Cilegon City 2017-2023 using passive sensor satellite imagery ]]>
<![CDATA[Kurniawan, Surya]]>;
<![CDATA[Nurhaidar, Wa Ode]]>;
<![CDATA[Gaffara, Ghefra Rizkan]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v7i1.202
<![CDATA[Transformation Land change that occurred in Cilegon City is a phenomenon that involves a significant transformation in urban land use over the last few years. Land is a natural resource that has an important function to meet various human needs. This change was caused by several factors, one of which was rapid population growth. This research involves analyzing satellite imagery from several different time periods to track the evolution of land use in Cilegon City. From the results of observations made, it is known that there is a reduction in green land in Cilegon City. Where in each period of the year there are changes in green land which is increasingly decreasing. This reduction was caused by several factors, namely the transfer of land function from greenland to housing and the occurrence of fires on the green land.]]>
<![CDATA[Regional function-based land use balance ]]>
<![CDATA[Nurhaidar, Wa Ode]]>;
<![CDATA[Kurniawan, Surya]]>;
<![CDATA[Gaffara, Ghefra Rizkan]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v7i1.203
<![CDATA[The balance between the availability of land and the need for control, use and utilization of land based on regional functions is important as a reference for sustainable development directions and maintaining environmental sustainability. Imbalance in land use affects the direction of development and environmental sustainability. For this reason, it is necessary to conduct an analysis to determine the balance between land availability and land needs within a certain period of time through the preparation of a land use balance based on regional function directions. This research aims to analyze the balance between land availability and land use as well as the suitability of land use for the direction of regional functions. The method in this research uses a multi-temporal approach by utilizing remote sensing technology and geographic information systems. The overlay process was carried out to see the land change of Baubau city and see the level of conformity of existing land use with the direction of regional functions. The results show that the 2016 land use balance has the highest assets in forest land use of 21097.66 Ha and the 2020 land use balance has the highest liabilities in forest land use of 20959.56 Ha. The trend of land change in 2016-2020 is the change of forest, open land, mixed gardens, settlements and shrubs/shrubs. The level of conformity of existing land use with the direction of the function of the area is very high with a percentage level of suitability of 90.83% and a level of incompatibility of 9.17%.]]>
<![CDATA[Application of computer vision for face recognition using viola jones algorithm method ]]>
<![CDATA[Riyadi, Fajar Sugeng]]>;
<![CDATA[Gunawan, Gunawan]]>;
<![CDATA[Arif, Zaenul]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/idss.v7i1.204
<![CDATA[This research aims to develop a facial recognition system using computer vision technology by applying the Viola-Jones algorithm method. The main focus of this research is to improve accuracy and efficiency in face identification under various lighting conditions and face orientations. The Viola-Jones algorithm, known for its real-time object detection, was chosen for its efficiency in quickly identifying critical facial features. Through testing of various face datasets, the results showed that the system developed was able to recognize faces with a high level of accuracy, even in conditions of non-optimal lighting and various facial poses. The novelty of this research lies in the optimization of the parameters of the Viola-Jones algorithm to improve facial recognition performance, as well as its application in challenging dynamic environments. These findings make a significant contribution to the field of computer vision and facial recognition, offering more effective and efficient solutions for security and surveillance applications, as well as interactive applications that require fast and accurate facial identification.]]>
