2 10 29 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/d083fbbbef05254b9b5c951eae1f67cb.pdf e833b8d6f64996b76fd2c87f1ba24095 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 System Development Life Cycle (SDLC) on IoT-Based Lending Locker Application Subject The topic of the resource libraries; SDLC; locker-based; IoT-based Description An account of the resource Libraries are social institutions that provide information services that can be accessed publicly to meet the information needs of librarians. Based on the results of a survey conducted on 58 students who have visited the library of the Electrical and Computer Engineering Department of Universitas Syiah Kuala, an information system was needed that provided research book information related to the author's name, year of writing, field concentration, and abstract of the research book and there was a division of categories based on field concentration, and there was an online borrowing feature. Based on these problems, this study aims to implement an Android application system with IoT-based lending lockers using the SDLC (system development life cycle) Prototyping method. This study produces an application with a locker-based online lending feature, several other features as the user desires, and 1 prototype lending locker. The locker-based online lending system integrated with ESP32-WROOM-32 can connect with Firebase storage and send locker key codes to Firebase so the application can access them. Through experiments and tests conducted on the application, it is obtained that the application can access the locker key code and display it to the user. The application has also been validated using black-box and white-box testing and can be accepted by users based on System Usability Scale (SUS) average score with a very feasible interpretation category Creator An entity primarily responsible for making the resource Melinda Melinda, Shaquille Rizki Ramadhan Na, Yudha Nurdin, Yunidar Yunida 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 IoT-based libraries locker-based SDLC https://repository.horizon.ac.id/files/original/80d84997fc3a270d90af8a55ebf6404c.pdf ff7596641edf221a737fd19be0dcb8cf 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 Solution to Scalability and Sparsity Problems in Collaborative Filtering using K-Means Clustering and Weight Point Rank (WP-Rank) Subject The topic of the resource collaborative filtering; scalability; sparsity, K-means; WP-rank Description An account of the resource Collaborative Filtering is a method to be used in recommendation systems. Collaborative Filtering works by analyzing rating data patterns. It is also used to make predictions of user interest. This process begins with collecting data and analyzing large amounts of information about the behavior, activities, and tendencies of users. The results of the analysis are used to predict what users like based on similarities with other users. In addition, Collaborative Filtering is able to produce recommendations with better quality than recommendation systems based on content and demographics. However, Collaborative Filtering still faces scalability and sparsity problems. It is because the data is always evolving so that it becomes big data, besides that there are many data with incomplete conditions or many vacancies are found. Therefore, the purpose of this study proposed a clustering and ranking based approach. The cluster algorithm used K-Means. Meanwhile, the WP-Rank method was used for ranking based. The experimental results showed that the running time was faster with an average execution time of 0.15 second by clustering. In addition, it was able to improve the quality of recommendations as indicated by an increase in the value of NDCG at k=22, the average value of NDCG was 0.82, so that the recommendations produced had more quality and more appropriate with user interests. Creator An entity primarily responsible for making the resource Mohamad Fahmi Hafidz, Sri Lestari 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 Collaborative Filtering K-means scalability Sparsity WP-rank 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/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/5e842794d685e6e54193e4b13eb97d91.pdf e604246cffba29bbb42fd6982052b57c 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 Multi-Accent Speaker Detection Using Normalize Feature MFCC Neural Network Method Subject The topic of the resource speaker recognition; classification; multi accent; MFCC; neural network. Description An account of the resource Speaker recognition is a field of research that continues to this day. Various methods have been developed to detect the human voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent recognition. Detecting various types of human accents with different accents and ethnicities with high accuracy is a research that is quite difficult to do. According to the results of the research on the data preprocessing stage, feature extraction and the selection of the right classification method play a very important role in determining the accuracy results. This study uses a preprocessing approach with normalizing features combined with MFCC as a method for performing feature extraction and Neural Network (NN) which is a classification method that works based on the workings of the human brain. Research results obtained using the normalize feature with MFCC and Neural Network for multi-accent speaker recognition, the accuracy performance reaches 82.68%, precision is 83% and recall is 82.88%. Creator An entity primarily responsible for making the resource Kristiawan Nugroho, Edy Winarno, Eri Zuliarso, Sunardi 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 MFCC multi accent neural network speaker recognition 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/9deefe5fa28ccbad0d15734da0108104.pdf 41ad0f62073de77a3f7b0388eea3f947 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 Analysis and Mitigation of Religion Bias in Indonesian Natural Language Processing Datasets Subject The topic of the resource natural language processing; Indonesian NLP; social bias; debiasing Description An account of the resource Previous studies have shown the existence of misrepresentation regarding various religious identities in Indonesian media. Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to inflict harm against such marginalized identities, in cases such as automated content moderation, and as such must be mitigated. In this paper, we analyze, for the first time, several Indonesian NLP datasets to see whether they contain unwanted bias and the effects of debiasing on them. We find that two, out of three, datasets analyzed in this study contain unwanted bias, whose effects trickle down to downstream performance under the form of allocation and representation harm. The results of debiasing at the dataset level, as a response to the biases previously discovered, are consistently positive for the respective dataset. Nevertheless, depending on the dataset and embedding used to train the model, they vary highly at the downstream performance level. In particular, the same debiasing technique can decrease bias on a combination of datasets and embedding, yet increase bias on another, particularly in the case of representation harm. Creator An entity primarily responsible for making the resource Muhammad Arief Fauzan, Ari Saptawijaya 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 debiasing Indonesian NLP natural language processing social bias https://repository.horizon.ac.id/files/original/b19a80836af04a657c6a8789a882c88f.pdf e8d47260ffb75ff66bb7fa154dedcc10 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 Fire Detection System At Labuhanbatu University Based On Internet Of Things (IoT) Subject The topic of the resource arduino; internet of things; microcontrollers; android; fires; ADDIE Description An account of the resource Fire accidents are disasters that often occur compared to other fire disasters such as floods, landslides, earthquakes or tsunamis. Fires can occur at any time and no one knows for sure when a fire accident will occur. The impact of a fire disaster is not only material that can disappear human lives. The causative factors of fire disasters often occur due to human negligence and fires often occur in houses where the occupants have left them. Labuhanbatu University at night will be left by the owner and all lecturers and educational staff, only guarded by 2 security people with this condition it is very dangerous when a fire occurs in one of the buildings. The purpose of this research is to focus on making a fire detection system at Labuhanbatu University based on the internet of things to provide early warning on safety. The system uses three sensors namely temperature sensor, gas sensor, and fire sensor. This research is an R&D research using the ADDIE model with the following stages Analysis, Design, Development, Implementation, Evaluation. The results of the fire sensor test were 90% successful, the results of the sensor test as soon as possible were 90% successful and the temperature sensor test results were 90% successful. This fire detection system can minimize or minimize the occurrence of fire accidents and losses because it is based on the internet of things providing early information when a fire occurs to education staff and lecturers at Labuhanabtu University. Overall this fire warning system can function properly Creator An entity primarily responsible for making the resource Iwan Purnama, Ibnu Rasyid Munthe, Khairul, Ronal Watrianthos, Zulkifli 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 ADDIE Android Arduino fires Internet of Things Microcontrollers 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