1 10 29 https://repository.horizon.ac.id/files/original/4156705703dfad4a4e949ec06ab2086a.pdf 48a310c8b5d28cea5f10060ee57a4d32 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Performance Comparison of Convolutional Neural Network and MobileNetV2 for Chili Diseases Classification Subject The topic of the resource chili; comparison; CNN; mobilenetV2 Description An account of the resource Chili is an important agricultural commodity in Indonesia and plays a significant role in the nation's economic growth. Its demand by households and industries reaches up to 61%. However, this high demand also means that monitoring efforts need to be intensified, particularly for chili plant diseases that can greatly impact yields. If these diseases are not promptly addressed, they can lead to a decrease in production levels, which can negatively affect the economy. With technological advancements, automatic monitoring using image processing is now highly feasible, making monitoring more efficient and effective. Common chili plant diseases include Chili leaf yellowing disease, Chili leaf curling disease, and cercospora leaf spots and Magnesium Deficiency with symptoms that can be observed through the shape and color of the leaves. This research aims to classify chili plant diseases by comparing the CNN algorithm and the pre-trained MobileNetV2 based model performance using Confussion Matrix. The study shows that the MobileNetV2 model, trained with a learning rate of 0.001, produces a more optimal model with an accuracy of 90% and based on the calculation of the confusion matrix, the average percentage values for recall, precision, and F1 score are 92%. These findings highlight the potential of image processing and pre-trained models to support efforts to monitor plant diseases and improve chili production. Creator An entity primarily responsible for making the resource Achmad Naila Muna Ramadhani, Galuh Wilujeng Saraswati, Rama Tri Agung, Heru Agus Santoso Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text chili CNN Comparison MobileNetV2 https://repository.horizon.ac.id/files/original/214b618dba0633de55d8eca3fbe8b11c.pdf bf2719c545ae4ce9635a2f0777f5d8d0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development of Reviewer Assignment Method with Latent Dirichlet Allocation and Link Prediction to Avoid Conflict of Interest Subject The topic of the resource reviewer; conflict of interest (CoI); DBLP dataset; latent dirichlet allocation (LDA); random forest; link prediction Description An account of the resource The number of published academic papers has been increasing rapidly from year to year. However, this increase in publications must be linear by an emphasis on quality. In order to ensure that academic papers meet the required standard of quality, the process of peer review is necessary. The main goal of reviewer assignment is to find the appropriate reviewer who can conduct a review based on their field of research. However, there are potential obstacles when there is a conflict of interest in the process. This study aims to develop a method for assigning reviewers that overcomes such obstacles. Our approach involves combining the Latent Dirichlet allocation (LDA), classification, and link prediction methods. LDA is used to find topics from the research data of prospective reviewers, to ensure that the assigned reviewers are well-suited to the submitted paper. This data used as training data for classification using Random Forest. Finally, link prediction implemented to make reviewer recommendations. We evaluated and compared our proposed method with previous research that used Cosine similarity for the last step in recommendation, using Mean Average Precision (MAP). Our proposed method achieved a MAP value of 0.87, which was an improvement compared to the previous approach. These results suggest that our approach has the potential to improve the effectiveness of academic peer review. Creator An entity primarily responsible for making the resource Adi Setyo Nugroho, Ahmad Saikhu, Ratih Nur Esti Anggraini Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text ; latent dirichlet allocation (LDA) conflict of interest (CoI) DBLP dataset random forest; link prediction reviewer https://repository.horizon.ac.id/files/original/a6a6761b968f40608dfae4fdfe5172a1.pdf bac8e41f542d0695699b202ab3642273 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Tree Algorithm Model on Size Classification Data Mining Subject The topic of the resource classification; data mining; decision tree Description An account of the resource The goal of this research is to use a tree algorithm to categorize student clothing in order to acquire an accurate size. This research is qualitative approach through descriptive analysis, while the analysis employed C.45 Tree algorithm classification. Manual calculations utilizing the tree algorithm formula revealed that the majority of students require XL-sized clothing. On the X5 (Shoulder length) characteristic, the maximum entropy and information gain values were obtained at 0.212642462. According to the forecast, the shoulder length attribute is the first calculation in developing a decision tree scheme since it has the largest entropy and information gain value. Lastly, the findings of this study analysis can be used as a mapping prediction to make decisions on the size of the student group's clothing Creator An entity primarily responsible for making the resource Agis Abhi Rafdhi, Eddy Soeryanto Soegoto, Senny Luckyardi, Chepi Nur Albar Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text classification data mining Decision Tree https://repository.horizon.ac.id/files/original/fef97bd31df15ca7edcff83996ea7789.pdf e9f4b1887bb1204c9c7e39f0aaa9a120 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementation of Enhanced Spray Routing Protocol for VDTN On Surabaya Smart City Scenario Subject The topic of the resource smart city; vehicle delay tolerant network; surabaya; SNHD; routing protocol Description An account of the resource The application of smart-city, which promises better city management in helping to improve people's quality of life, is still inhibited due to the high cost of infrastructure investment. In several Smart cities, it takes at least $ 30 - 40 billion to convert a conventional town into a smart city, Include for Data collection infrastructure, i.e., cellular data subscription and WiFi Infrastructure. Alternatively, low-power wide-area networks (LPWAN) could be considered, but it needs more bandwidth to serve data transmission in a smart city. Vehicle Delay Tolerant Network (VDTN) is one part of DTN that employs vehicles as a communication infrastructure that allows communication in challenging conditions and could make it an alternative network for Data Collection in Smart City. This paper proposes a Surabaya Smart City scenario with VDTN as a data collection. The scenario consists of 40 wireless sensors and 50 to 200 vehicles (car and bus) with 5 Road Side Units that forward data from the sensor to the monitoring server. Furthermore, to increase the VDTN performance, we improve our proposed routing protocol, Spray and Hop Distance (SNHD), with two sprays method (Adaptive and Simple) and multiple sources and destinations data collection support. The evaluation was done by simulation-based comparison with an increase in the number of vehicles to determine the impact of vehicle density on data collection performance in terms of delivery probability, Latency Average, and Overhead Ratio. Based on the simulation results, the simple spray method in SNHD and A-SNHD outperformed the well-known VDTN routing protocol, i.e., Epidemic and Spray and Wait. Moreover, when the number of cars is increased from 50 to 200, the performance of VDTN does not increase significantly as network density increases. It means that VDTN only requires a small number of vehicles for use as a low-cost alternative network for smart city. We also evaluate the impact of data size on the performance of all routing protocols in general Creator An entity primarily responsible for making the resource Agussalim, Agung Brastama Putra Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Text Routing protocol Smart city SNHD surabaya vehicle delay tolerant network https://repository.horizon.ac.id/files/original/28aa5fd8d910380adb81615b48e4db68.pdf 4d6bd9bd1d6ba216c8e7c19aec357f84 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Utilization of Mobile Network Infrastructure to Prevent Financial Mobile Application Account Takeover Subject The topic of the resource SMS OTP vulnerability; mobile network verification; header enrichment; account takeover prevention Description An account of the resource The Covid-19 pandemic has kept almost everyone at home and forced them to do activity online using their mobile gadgets. Penetration of internet and mobile use are increased as lockdowns or restrictions on meeting face to face are getting used to. This has become a new market for cyber criminals to carry out their actions, such as spreading Social Engineering, sending Phishing, doing Account Take Over, and ending in theft of money in Financial Mobile Applications. Application protection with OTP SMS and Magic Link SMS still has vulnerabilities with several examples of cases that have occurred. For this reason, this problem was raised to find a solution by utilizing the Mobile Network Infrastructure. The research methodology used is a quantitative experiment and literature review of previous studies to compare the uniqueness of this study. The experiment was carried out by comparing the compatibility between the phone numbers registered in the application and the phone numbers used on smartphones. Every time a user signs in or signs up, the Financial Mobile Application will perform Mobile Network Verification to cellular operators via API. Verification is carried out by utilizing the header enrichment in the background of the application process that installed on the user's smartphone or tablet to the Mobile Network Verification Server. Then the Financial Mobile Applications can find out, the user is using a valid or invalid phone number. Thus, the target account cannot be taken over, because the cyber criminal's mobile gadget does not have the phone number which is attached in the victim’s mobile gadget. This proof was carried out with four test case scenarios with 10 trials each with the sign-up and sign-in processes on the same phone number and differed between devices and applications. The results obtained from the four test case scenarios and each of the 10 trials were 100% successful as expected results. It is hoped that this kind of protection model can reduce losses experienced by Financial Mobile Application users due to Account Take Over Creator An entity primarily responsible for making the resource Aldiansah Prayogi, Rizal Fathoni Aji Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text account takeover prevention header enrichment mobile network verification SMS OTP vulnerability https://repository.horizon.ac.id/files/original/79a0933ad24019b66df303920a378922.pdf 5a8b861fbb0fddd80c5ee7db6e1a7a3d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessing User Experience and Usability in the OVO Application: Utilizing the User Experience Questionnaire and System Usability Scale for Evaluation Subject The topic of the resource digital wallet; user experience; usability; user experience questionnaire; system usability scale Description An account of the resource The OVO application, despite having a large user base in Indonesia, has received low ratings compared to other digital wallet apps on the Google Play Store and App Store. Users frequently complain about the user experience, which greatly affects their overall satisfaction. This study evaluates the user experience and usability of the OVO application using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). The UEQ results show that efficiency is excellent (1.55), while attractiveness, perspicuity, dependability, and stimulation are above average (1.56, 1.67, 1.33, and 1.16, respectively). However, the novelty aspect falls below average (0.64), indicating a need for improvement. The SUS score is 77.53, classifying the app as "Acceptable" with a "C" grade and an overall "Good" rating. Addressing the identified shortcomings can enhance the user experience and usability, ultimately improving user satisfaction. This study contributes valuable empirical data to the field, offering insights for researchers and practitioners in assessing the user experience and usability of mobile applications. Creator An entity primarily responsible for making the resource Ali Ibrahim, Onkky Alexander, Ken Ditha Tania, Pacu Putra, Allsela Meiriza Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text digital wallet system usability scale usability user experience user experience questionnaire https://repository.horizon.ac.id/files/original/8725a544985c6e9156b821baf35a43c3.pdf 4b75cc41a5b85bd44e3bd333c2b08fde Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparison of Naive Bayes and PSO-Based Naive Bayes Algorithms for Prediction of Covid-19 Patient Recovery Data in Indonesia Subject The topic of the resource naive bayes algorithm; particle swarm optimization; covid-19 patients; data mining; classification Description An account of the resource A brand-new illness known as COVID 19 was identified in 2019 but has yet to infect humans (World Health Organization, 2019). This group of viruses can infect mammals including humans as well as birds and cause sickness. People commonly contract coronaviruses from the flu and other minor respiratory ailments, but they can also spread serious diseases like SARS, MERS, and the deadly COVID-19. So that there are no more casualties, this number must be decreased. It is crucial to understand the variables that can truly reduce the danger of death and gauge the propensity for recovery in Covid-19 patients. Several techniques in data mining can be used to forecast patient recovery rates depending on various characteristics. This study's criteria included gender, age, province, and status. The Naive Bayes (NB) and Pso-based Naive Bayes algorithms are compared in this study using patient datasets to determine whether strategy is more accurate. The findings of this study reveal that using the NB method has a 94.07% accuracy rate, a precision value of 14%, a recall value of 1%, and an AUC value of 0.613, according to the study's data. The accuracy rate of PSO-based Naive Bayes is 95.56%, the precision is 25%, the recall is 1%, and the AUC is 0.540. Creator An entity primarily responsible for making the resource Alvina Felicia Watratan, Ema Utami, Anggit Dwi Hartanto Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text classification covid-19 patients data mining naive bayes algorithm Particle Swarm Optimization https://repository.horizon.ac.id/files/original/86cb504f125f9f3ba35558f989959e45.pdf 9ba1dacc7d46d325080752241a57980e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Requirement Elicitation Modeling Using Knowledge Acquisition in Automated Specification Method Subject The topic of the resource requirements elicitation; requirements engineering; knowledge acquisition in automated specifications; software engineering; goal tree model; functional requirements Description An account of the resource Errors often occur during the requirements elicitation stage, causing failure of the software development process as a whole so that the system built cannot be used optimally, this data is obtained from survey data from several large companies involved in technology development. To overcome this problem, this study tries to apply elicitation requirements using the KAOS method in the case study of the SMM Reseller ordering system to obtain system requirements that are in accordance with the goals and objectives of each existing stakeholder. Based on the elicitation of system requirements, functional requirements are generated which include, automatic orders, automatic payments, manage product sales, manage orders, manage payment methods, manage problem orders, manage customer data, manage company information, automatic email notifications, and sales statistics information. The results of this study are a table of functional requirements that have been declared valid and in accordance with the goals and requirements of each stakeholder after evaluating and validating the results for each stakeholder involved. Creator An entity primarily responsible for making the resource Aminudin Aminudin, Hafizh Salsabila Pradana , Ilyas Nuryasin Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text functional requirements goal tree model knowledge acquisition in automated specifications Requirements elicitation requirements engineering software engineering https://repository.horizon.ac.id/files/original/12e9954d859f1b56edea897f5e269961.pdf 130ac261838f61b49471684d7376380e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Security Architecture for Mobile Computing-Based IoT Subject The topic of the resource mobile computing; mobile computing – based IoT; internet of things (IoT); security architecture. Description An account of the resource The Internet of Things (IoT) is a complex technology with various applications that have become a vital part of our everyday life. The amount of Internet of Things and linked devices continues to rise. In terms of bandwidth, service availability, security controls, cyber-attacks and privacy problems, transporting the huge data created by these IoT devices to the cloud offers concern and challenges comprising of intermittent connection, service unavailability, data loss at rest, in use and in motion, unhardened device and server, unpatched device and server and exploitation vulnerabilities. Mobile computing (MC) is a strategic solution to tackle these difficulties by offering flexible data processing and storage to end users, increase security controls and with customized IoT devices for varied geographic locations. This paper is providing a complete description of the IoT architecture's components. After that, it elaborates on similar security threats and potential cyber-attacks in the context of mobile computing-based IoT and suggested solutions. In conclusion, we provide a secure mobile-computing-based architecture design for IoT applications. Creator An entity primarily responsible for making the resource Farina Mutia, Eugene Ario Suradilaga, Raymond Giovadius Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Internet of things (IoT) mobile computing mobile computing – based IoT security architecture https://repository.horizon.ac.id/files/original/d8f5fe8a03009ce9203320c76743c7ec.pdf 3ded903ef0f07e57c8a3a479001bc46a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 4 (2023) Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Brent Crude Oil Price Forecasting using the Cascade Forward Neural Network Subject The topic of the resource artificial neural networks; cascade forwards; brent; crude oil; MAPE Description An account of the resource Crude oil is one of the most traded non-food products or commodities in the world. In Indonesia, crude oil will still be a contributor to the Gross Domestic Product in 2021. Excessive consumption of fuel oil (BBM) in Indonesia has resulted in a scarcity of crude oil, especially diesel. Forecasting the price of Brent crude oil is an important effort to anticipate fluctuations in the price of fuel oil. The Cascade Forward Neural Network (CFNN) method is proposed to forecast fuel prices because of its superiority in fluctuating data types. The data used in this research is the price of Brent crude oil in the period January 2008 to December 2022. The CFNN method will be evaluated using the Mean Absolute Percentage Error (MAPE) to choose the best architectural model. The best Architectural Model is used to predict the next 12 months. After 10 architectural model trials, 2-6-1 became the best model with a MAPE data training value of 6.3473% and MAPE data testing of 9.4689%. Forecasting results for Brent crude oil for the next 12 months tend to experience a downward trend until December 2023. Creator An entity primarily responsible for making the resource Fatkhurokhman Fauzi, Dewi Ratnasari Wijaya, Tiani Wahyu Utami Source A related resource from which the described resource is derived http://jurnal.iaii.or.id Publisher An entity responsible for making the resource available Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association Date A point or period of time associated with an event in the lifecycle of the resource August 2023 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN Media Electronic: 2580-0760 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Artificial neural networks brent cascade forwards crude oil MAPE