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All Journal KEADILAN PROGRESIF RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer SAGA: Journal of Technology and Information Systems Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Gandhi: Jurnal pengabdian kepada Masyarakat (G-JPM)
Agus Iskandar
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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CYBER SECURITY EDUCATION PROGRAM FOR STUDENTS TO BUILD DIGITAL SECURITY AWARENESS Agus Iskandar; Bagas Ade S
International Journal of Teaching and Learning Vol. 2 No. 6 (2024): JUNE
Publisher : Adisam Publisher

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Abstract

In the ever-evolving digital era, cyber security is a major concern, especially for the younger generation who spend significant time online. The Cyber ​​Security Education Program for Students is designed to equip students with essential knowledge and skills in dealing with cyber security threats. Through a series of interactive workshops, training and simulations, this program aims to build awareness of the importance of digital security, teach how to identify and avoid various types of cyber attacks, and promote best practices in keeping personal and sensitive information safe. The program curriculum is structured based on the latest cybersecurity frameworks and delivered in a format that is easy for students to understand. The training material covers the basics of cyber security, such as password security, recognition of phishing, malware and ransomware, as well as self-defense techniques in cyberspace. In addition, this program also integrates the use of digital tools that can help students practice cybersecurity in their daily lives. By participating in this program, it is hoped that students will become more aware and responsible in exploring the digital world, and be able to protect themselves and others from potential cyber security dangers. The Cyber ​​Security Education Program for Students not only emphasizes the importance of cyber security knowledge and skills, but also encourages students to become digital security ambassadors in their environment, thereby creating a safer and more informed digital society.
Analisa Perbandingan Metode Teorema Bayes dan Case Based Reasoning dalam Mendeteksi Penyakit Polymyalgia Rheumatica Intan Putri F; Siti Emalia; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1568

Abstract

This research aims to conduct a comparative analysis between two diagnostic methods, namely Bayes' Theorem and Case Based Reasoning, in detecting Polymyalgia Rheumatica. This disease is known for its symptoms of muscle pain and stiffness in certain parts of the body, so correct diagnosis is very important for effective disease management. The problem at hand is increasing the accuracy and effectiveness of diagnosis, and this research details how both methods are applied. The Bayes Theorem method is used to calculate the probability of the existence of a disease based on the symptoms that appear. Meanwhile, Case Based Reasoning utilizes knowledge from previous cases to determine the diagnosis in new cases. Data collection involves information on Polymyalgia Rheumatica symptoms from a number of patients. The comparative analysis includes evaluation of the accuracy, sensitivity, specificity, and computational time of both methods. It is hoped that the results of this research will provide a deeper understanding of the effectiveness of each method in supporting the diagnosis of Polymyalgia Rheumatica. These findings are expected to make an important contribution to the development of better diagnostic systems, with the potential to improve medical practitioners' ability to identify and manage this disease more efficiently. The results of the analysis using two approaches, namely Bayes' Theorem and Case-Based Reasoning, to assess Polymyalgia Rheumatica, revealed quite striking differences in the level of prediction certainty. Bayes' theorem sets the probability at around 22.1%, while the Case-Based Reasoning approach gives a probability level of up to 52%.
Perbandingan Metode Certainty Factor dan Case Based Reasoning Dalam Mendeteksi Penyakit Arteritis Takayasu M Mustaqim; A Gilang Ramadhan; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1735

Abstract

This study aims to compare the effectiveness of two methods, Certainty Factor (CF) and Case-Based Reasoning (CBR), in detecting Takayasu's Arteritis. Takayasu's arteritis is a complex disease with varying symptoms, giving rise to difficulties in correct diagnosis. The main aim of this study was to evaluate their performance in the context of such complex disease detection. The main problem faced is the uncertainty in assessing the level of certainty of diagnosis based on symptoms that vary between patients. The CF method uses the confidence factor principle to measure the level of certainty in a diagnosis, while CBR uses knowledge from previous cases to design a diagnosis for new cases. This study uses a dataset that includes information on symptoms and patient history related to Takayasu's Arteritis. The experimental process involves implementing both methods on the dataset, with results including evaluation of accuracy, sensitivity, and specificity levels. The research results highlight differences in the performance of Certainty Factor and Case-Based Reasoning in detecting Takayasu's Arteritis, providing in-depth insight into the advantages and disadvantages of each method. It is hoped that this understanding can help develop a more efficient and accurate detection system to overcome the complexity of diagnosing Takayasu's Arteritis. The percentage results from the two approaches used in diagnosing Arteritis Takayasu disease have been presented. The Certainty Factor Method indicates a confidence level of 94%, while the Case Based Reasoning Method shows a similarity level of 54%. This significant difference reflects the superiority of the Certainty Factor Method in providing a higher level of confidence in diagnosing this disease compared to the Case Based Reasoning approach.
Implementasi Metode MABAC dengan Pembobotan Entropy Dalam Sistem Pendukung Keputusan Proses Rekruitmen CIO Siti Emalia Saqila; Amelia Hayatul; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1736

Abstract

This research aims to investigate and implement the MABAC (Multi-Attributive Border Approximation) method with weighting based on entropy in a decision support system (DSS) to recommend the most suitable Chief Information Officer (CIO) candidate. As an integral part of upper-level management, the selection of a CIO is a strategic decision that has a major impact on organizational performance. Therefore, the use of SPK in the CIO recruitment process can help organizations make more effective and rational decisions. The MABAC method is used because it is able to overcome situations of uncertainty and ambiguity in CIO recruitment decision making, which involves several interrelated attributes and has the potential to influence CIO performance. Entropy-based weighting is used to measure the level of uncertainty or randomness in attribute data, thereby providing accurate weights for each attribute in the decision-making process. This research uses empirical data from a number of CIO candidates who have various backgrounds and experiences. The data includes a variety of attributes such as education, work experience, technical expertise, and leadership skills. The MABAC method with entropy weighting was used to process this data, and the results were used to produce a ranking of the most suitable CIO candidates. The results of this research indicate that the use of the MABAC method with entropy weighting in the SPK can produce more accurate and reliable CIO recommendations. These results can assist recruiting teams and senior management in selecting the CIO who best fits the organization's needs. Apart from that, this research also identifies the attributes that are most influential in CIO recruitment decisions, so that it can help organizations in designing appropriate skills development or training programs for selected CIO candidates. Thus, this research makes an important contribution to the field of HR management and strategic decision making, especially in the context of CIO recruitment. The results of calculations in this research show that the alternative in the name of Eric Yahya is in first place with a value of 0.405. The results can be a valuable guide for organizations looking to improve their executive selection and recruitment processes
E-REGISTRATION AND HEALTH SERVICE CONSULTATION USING AGILE METHODS Pascal Sjach Fahlevi; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

This research focuses on developing an E-Registration and Health Services Consultation system using the Agile method, which aims to increase the efficiency and effectiveness of health services. The main objective of this research is to design and implement a system that can make it easier for patients to register and consult online, reduce waiting time, and improve the quality of interactions between patients and health service providers. This research is motivated by the need to overcome the problem of limited access and inconvenience in conventional health services, which often require long waiting times and complicated administrative processes. Agile methods were chosen for their flexibility and adaptivity in software development, allowing development teams to respond quickly to changing user needs and preferences. This research uses an iterative approach, where development is carried out in cycles consisting of planning, design, implementation, testing and evaluation. Data was collected through user satisfaction surveys, interviews with stakeholders, and system performance analysis. The findings of this research indicate that the implementation of the E-Registration and Health Services Consultation system can significantly increase patient satisfaction, with a decrease in average waiting time and an increase in service accessibility. Apart from that, this system also supports better decision making by health service providers through integrated and real-time patient data management. This research makes an important contribution to the development of health information systems, offering valuable insights into the application of Agile methods in the development of responsive and user-centered health care systems.
COMPARISON OF IMPLEMENTATION BETWEEN EMA, WMA, SMA IN PREDICTING IHSG Ahmad Dwikhaldi Rifai; Tio Adi Kurniawan; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

This study compares the implementation of Exponential Moving Average, Weighted Moving Average , and Simple Moving Average in the movement of the Composite Stock Price Index. Through the analysis of historical IHSG data, we found that EMA consistently outperforms WMA and SMA with higher accuracy. This result indicates that the use of EMA, focusing on recent data, can be a more responsive approach to changes in stock market trends. However, this research also highlights the need to consider the weaknesses and limitations of each forecasting method. The implications of these findings can provide valuable guidance for stock market practitioners in investment decision-making. Future research can deepen this analysis by considering additional factors to improve IHSG predictions.
LOCAL SHOE SELECTION DECISIONS WITH A DECISION SUPPORT SYSTEM USING THE SIMPLE ADDITIVE WEIGHTING METHOD Tio Adi Kurniawan; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

Shoes are a basic need that is very essential in everyday life. provides protection, comfort and adaptability to a variety of activities and environments. (Juliana iHutapea iet ial., i2018) However, when choosing shoes, the task can become quite complicated considering the many choices and factors that need to be considered. In Indonesia, there are many local shoe brands, each with its own characteristics and appeal. The diversity of shoe models available often creates confusion for buyers, who are looking for shoes that suit their needs and preferences. (Mario i& iLero, in.d.) To overcome this challenge, this research aims for the same. to develop a decision support system designed to provide assistance to buyers in choosing shoes. This research involves three main criteria, namely price, comfort, and quality, which are considered key factors in carrying out the decision-making process. purchasing shoes. By applying the Simple Additive Weighting (SAW) method (Apriani iet ial., i2020), this research attempts to produce weights for each criterion and provide a ranking of shoes that could be the right choice. Thus, this decision support system is expected to have the ability to provide advice or recommendations. shoes that suit customers' needs and preferences, helping them overcome the confusion in choosing among the various shoe models available in the market.
DATA MINING CUSTOMER CLUSTERING USING K-MEANS METHOD Agus Iskandar; Rifqi Aldy Al Hafizh Harahap; Achmad Gilang Ramadhan
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 3 (2024): March
Publisher : Adisam Publisher

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Abstract

The company recognizes the crucial role of customers in achieving business success and as the main source of revenue. Therefore, it is important for companies to understand the needs and desires of customers in order to build a mutually beneficial relationship. Customers have functional and emotional needs that they want to fulfill through the products or services they buy. Customer experience, both positive and negative, has a significant impact on satisfaction, loyalty and corporate image. This research faces the challenge of decreasing the number of customers who make purchases at these companies or service providers. To overcome this problem, companies need to adopt an effective market strategy to improve operational efficiency and better understand customer needs. One approach used is to understand customer needs through grouping, so that companies can develop products or services that are more suitable for each customer group. This helps improve the product's relationship with customer needs and provides services that match their expectations. Customer grouping was performed using the K-means algorithm, with 47 customers grouped based on relevant attributes. Determining the optimal number of clusters is done by comparing the performance of the clusters that are formed, and the results produce two new clusters with different numbers of customers. The K-means algorithm is implemented using the RapidMiner application to simplify the process. The final analysis shows that the second cluster has more customers than the first cluster. This research confirms the importance of understanding customer needs, classifying them appropriately, and taking effective actions to maintain customer satisfaction. The K-means algorithm and the RapidMiner application prove to be very useful in this process, enabling companies to strengthen customer relationships and create significant added value. The final results of this study indicate that the first cluster (cluster 0) contains 22 customers, while the second cluster (cluster 2) contains 25 customers. Therefore, the second cluster has a larger number of customers compared to the first cluster.
APPLICATION OF MULTI-OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS (MOORA) IN DETERMINING THE LOCATION OF BERKAH TIRTA'S DRINKING WATER BUSINESS Abdul Rahman; Andreas Dwiyanto; Agus Iskandar
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 3 (2024): March
Publisher : Adisam Publisher

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Abstract

In the workplace environment, competition is a common phenomenon, especially when it comes to determining the location to start a business, namely the selection of the right location. The business of water refill stations is experiencing rapid development, and the success of this business is significantly influenced by the accurate determination of the location. To enhance efficiency in location determination, the MOORA method is employed an analytical tool for decision-making. The use of the MOORA method in this research aims to analyze and compare each potential location based on predetermined criteria such as accessibility, market potential, operational costs, space size, crowd center and other external factors. The implementation of MOORA is expected to serve as an initial step in making strategic decisions related to location determination in various fields of business and provide a foundation for further research to develop more advanced methods in location selection. The results of the MOORA implementation in determining the strategic location indicate that location D or alternative is the preferred choice with a value of 0.323517894.
TRAINING IN CREATING A DATABASE FOR STORING AND MANAGING SCHOOL DATA Agus Iskandar; Gatot Soepriyono
International Journal of Teaching and Learning Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

In the current digital era, managing school data efficiently and effectively is crucial to supporting the learning and administration process. The background to this initiative is rooted in the need to store, access and manage school data in a more structured and systematic way. Problems often faced include limitations in storage capacity, difficulties in accessing data quickly, and challenges in ensuring data security. To overcome this, the proposed method is database creation training which is designed to provide an in-depth understanding of basic database principles, effective database design, as well as data management and security techniques. The aim of this training is to equip school staff and administrators with technical skills in building and managing school databases, so as to increase operational efficiency and ensure the integrity and security of educational data. This will enable schools to utilize information technology to better manage information resources, support strategic decisions, and improve the quality of education.
Co-Authors A Gilang Ramadhan AAN SETIAWAN Abdul Rahman Achmad Gilang Ramadhan Agung Triayudi Agus Suprijanto Ahmad Dwikhaldi Rifai Amelia Hayatul Andreas Dwiyanto Anugrah Pramuja Bagas Ade S Budi Santoso, Eli Emalia Saqila Firman Yusuf Abdurrahman Gatot Soepriyono Imam Rizqi Intan Putri F M Mustaqim MUHAMMAD ILHAM Mustaqim Pascal Sjach Fahlevi Rifqi Aldy Al Hafizh Harahap Siti Emalia Siti Emalia Saqila Sri Ismulyaty Tio Adi Kurniawan Whika Febria Dewatisari