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Journal of Intelligent Decision Support System (IDSS)
Published by Institute of Computer Science
ISSN : 27215792     EISSN : 27215792     DOI : -
Core Subject : Science,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 11 Documents
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Search results for , issue "Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)" : 11 Documents clear
Decision Support System to assess customer satisfaction using Analytical Hierarchy Process Andriani, Wresti; Gunawan, Gunawan; Anandianskha, Sawaviyya
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.163

Abstract

Transportation is an important aspect of mobility or global movement and activities. As public transportation that can be accessed online by the public, Gojek and Grab types of transportation provide transportation services and are growing rapidly. At the time of Covid 19 around 2020, online transportation was very important and much sought after. More and more online transportation companies are appearing, especially in Tegal City, so that there are more service offerings that consumers can use. User or consumer satisfaction measurements were carried out using Fuzzy Logic Method Analytical Hierarchy Process (AHP) on 200 consumers who used Gojek or Grab or other online transportation for 3 to 4 months in 2022 in Tegal City. The results obtained by customers or consumers were satisfied with Gojek transportation at 45%, with male consumers at 67%, and Grab at 37%, with male consumers at 65%, followed by other online transportation (X and Y). These results can be used as an option for consumers who expect the best service.
Exploratory Data Analysis (EDA) methods for healthcare classification Dhany, Hanna Willa; Sutarman, Sutarman; Izhari, Fahmi
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.165

Abstract

The recovery and rehabilitation of individuals, helping them regain their physical and mental well-being. Healthcare offers comfort and relief for patients with serious or terminal illnesses, focusing on improving their quality of life and managing symptoms. It plays a role in educating individuals about health risks, disease prevention, and healthy lifestyles. Healthcare contributes to medical research and innovation, leading to advancements in treatments, medications, and medical technologies. Here are some common results and findings that can be obtained through EDA in healthcare data about EDA can reveal the age, gender, and other demographic information of patients. This information is essential for understanding the population served by a healthcare facility. EDA can help identify the prevalence of different diseases or conditions within a patient population. This can assist in resource allocation and healthcare planning. EDA can show how disease rates or healthcare utilization patterns change over time. For example, it can highlight seasonal variations in the incidence of certain diseases. EDA can be used to analyze healthcare data geospatially to identify regions with higher disease prevalence, helping in targeted interventions.
Analysis streaming application viewership with EDA Permana, Aminuddin Indra
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.166

Abstract

Streaming applications require a high amount of bandwidth to deliver high-quality media content to users. However, bandwidth is not always available or consistent, especially in remote or congested areas. This can result in buffering, lagging, or poor quality of the streaming content, which can frustrate users and affect their satisfaction and retention. Streaming applications need to minimize the delay between the source and the destination of the media content, especially for live or interactive streaming. However, latency can be affected by many factors, such as network congestion, server load, routing, encoding, etc. Predictive analysis can help to forecast the future outcomes or behaviors of the streaming data, such as the demand, the popularity, the retention, the churn, etc. For example, one can use predictive analysis to estimate the optimal pricing strategy for a streaming service, or to predict the likelihood of a viewer to cancel their subscription. Streaming application with EDA can also help to detect and resolve any issues or errors that may affect the streaming quality, such as network congestion, server load, device compatibility, etc. Streaming application with EDA can help to understand and predict the user behavior, such as the viewing duration, frequency, preference, rating, feedback, etc., of the media content consumed by the users.
Optimizing Urban Traffic Management Through Advanced Machine Learning: A Comprehensive Study Izhari, Fahmi; Dhany, Hanna Willa
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.167

Abstract

Urban transport networks are vital components of modern societies, influencing efficiency and safety. This research explores the potential of traffic data as a crucial information source for forecasting and interpreting traffic problems. Using advanced data processing, statistical analysis, and classification algorithms, the study aims to identify and forecast traffic scenarios. With an interdisciplinary approach integrating computer science, statistics, and transportation engineering, the research emphasizes a holistic perspective on traffic concerns. The study involves outlier detection, label encoding, and cutting-edge technologies like GridSearchCV and ensemble modeling. Inspired by flash flood susceptibility research, machine learning models, particularly LightGBM and CatBoost, are applied to predict traffic situations. DecisionTreeClassifier and CatBoostClassifier emerge as top performers, achieving remarkable accuracies. The evaluation goes beyond accuracy, emphasizing the nuanced understanding of algorithm strengths and limitations for effective urban transportation network management
Analysis Of Salary Of Permanent Employees And Contract Employees On The Medicom Campus Using The K – Means Algorithm Harahap, Leliana; Purba, Sartika Dewi; Situmorang, Sutrisno; Panggabean, Jonas Franky R; Sirait, Kamson
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.168

Abstract

The Medicom campus is a place of work that provides jobs to the community. In work, employee status cannot be separated, namely permanent employees and contract employees. In employee status, employee salaries can be determined. In determining employee salaries, there are several problems that can disrupt employee performance at work. For this reason, a method is needed to determine employee salaries. One method that can be used is the K-Means Clustering Algorithm. Which is considered quite effective in determining the suitability of salaries for permanent employees and contract employees. By creating clusters to make it easier for finance workers to record and determine and adjust employee salaries based on their status.
Utilization of Instagram as a public relations publication media for the central statistics agency of Blora district Yudhista, Arya; Mahendra P, Angga Intueri
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.186

Abstract

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
Engineering Design Business Process Modelling Letter C Land Data Archiving System with Software Requirement Specifications Approach Santi, Indyah Hartami; Febrinita, Filda; Puspitasari, Wahyu Dwi
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.187

Abstract

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.
Application of the servqual method to increase customer satisfaction in renting tronton trucks Siregar, Syafri Nur Hidayat; Puspasari, Ratih
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.191

Abstract

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.
Design and development of a web-based teacher payroll system at Al-Hikmah Middle School Medan Pamugi, Rizki; Br Saragih, Nidia Enjelita
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.192

Abstract

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.
Design of noise detection and warning in library reading room using Wemos D1 R2 Based on IoT Sintawati, Andini; Windarti, Ira; Arrafi, Muhamad Dzammar
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.194

Abstract

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.

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