JOIV International Journal on Informatics Visualization最新文献_第8页

Deep Convolutional Neural Networks Transfer Learning Comparison on Arabic Handwriting Recognition System 阿拉伯语手写识别系统的深度卷积神经网络迁移学习比较

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-12 DOI: 10.30630/joiv.7.2.1605

S. Masruroh, Muhammad Fikri Syahid, Firman Munthaha, A. T. Muharram, Rizka Amalia Putri

{"title":"Deep Convolutional Neural Networks Transfer Learning Comparison on Arabic Handwriting Recognition System","authors":"S. Masruroh, Muhammad Fikri Syahid, Firman Munthaha, A. T. Muharram, Rizka Amalia Putri","doi":"10.30630/joiv.7.2.1605","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1605","url":null,"abstract":"Around 27 languages and more than 420 million people worldwide use Arabic letters. That makes the Arabic language one of the most used languages. However, the Arabic language has a challenge, namely the difference in letters based on their position. Arabic handwriting recognition is important for various applications, such as education and communication. One example is during a pandemic when most education has turned digital, making recognizing students' Arabic handwriting difficult. This paper aims to create a model that can recognize Arabic handwriting by comparing several CNN architectures using transfer learning to classify Arabic, Hijja, and AHCD handwriting datasets. Transfer learning is a model that has been trained by previous datasets to other datasets and is suitable for use in models with small datasets because it can improve model accuracy even with small datasets. The datasets were split into 60%, 20%, and 20% for training, validation, and testing. Each model uses data augmentation and 50% dropout on a fully connected layer to reduce overfitting. Some of the CNN architectures used in this study to create Arabic writing recognition models are ResNet, DenseNet, VGG16, VGG19, InceptionV3, and MobileNet. The models were compiled and trained with various parameters. The best model achieved to classify AHCD and Hijja dataset is VGG16 with Adam optimizer and 0.0001 learning rate. Based on this research, it is expected to know the performance of the best model for classifying Arabic handwriting.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85446182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimization of the Preprocessing Method for Edge Detection on Overlapping Cells at PAP Smear Images 巴氏涂片图像重叠细胞边缘检测预处理方法的优化

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-12 DOI: 10.30630/joiv.7.2.1329

Nita Merlina, E. Noersasongko, P. Andono, M. Soeleman, D. Riana

{"title":"Optimization of the Preprocessing Method for Edge Detection on Overlapping Cells at PAP Smear Images","authors":"Nita Merlina, E. Noersasongko, P. Andono, M. Soeleman, D. Riana","doi":"10.30630/joiv.7.2.1329","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1329","url":null,"abstract":"The complexity of the cell structure and high overlap cause poor image contrast. Complex imaging factors can make automatic visual interpretation more difficult. Segmentation separates a digital image into different parts with homogeneous attributes so that different areas have different features. The challenges faced in performing nucleus segmentation on Pap Smear (PS) images are poor contrast, the presence of neutrophils, and uneven staining of overlapping cells. This research was conducted to improve image quality in identifying the nucleus accurately. The method used is the Polynomial Contrast Enhancement (PCE) model as an approach to preprocessing. This method functions to change the contrast of the Pap smear image against the overlapping cells so that it becomes a significant contrast in detecting the edge of the nucleus object. The detection process uses the Robert and Prewitt edge detection method to test the identification of the nucleus object on 797 PS Repository images of the University of Nusa Mandiri (RepomedUNM). The accuracy result obtained is 86.8%. Comparing Robert's edge detection and Prewitt's edge detection shows that the PCE approach as a filter method can overcome color contrast problems and detect more accurately. The difficulty in detecting the nucleus from the PS image against the overlapping cells can be solved. This method can distinguish overlapping cells from their core during testing, thus becoming a reference in identifying cells with improved accuracy and testing larger data sets.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75849305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems 用于自动交通流分析系统的视频流车辆速度估计模型

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-11 DOI: 10.30630/joiv.7.2.1820

Maizatul Najihah Arriffin, S. Mostafa, Umar Farooq Khattak, Mustafa Musa Jaber, Z. Baharum, -. Defni, Taufik Gusman

{"title":"Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems","authors":"Maizatul Najihah Arriffin, S. Mostafa, Umar Farooq Khattak, Mustafa Musa Jaber, Z. Baharum, -. Defni, Taufik Gusman","doi":"10.30630/joiv.7.2.1820","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1820","url":null,"abstract":"Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. This research aims to develop a model for estimating vehicle speed from video streams to support traffic flow analysis (TFA) systems. Subsequently, this paper proposes a vehicle speed estimation model with three main stages of achieving speed estimation: (1) pre-processing, (2) segmentation, and (3) speed detection. The model uses a bilateral filter in the pre-processing strategy to provide free-shadow image quality and sharpen the image. Gaussian filter and active contour are used to detect and track objects of interest in the image. The Pinhole model is used to assess the real distance of the item within the image sequence for speed estimation. Kalman filter and optical flow are used to flatten vehicle speed and acceleration uncertainties. This model is evaluated with a dataset that consists of video recordings of moving vehicles at traffic light junctions on the urban roadway. The average percentage for speed estimation error is 20.86%. The average percentage for accuracy obtained is 79.14%, and the overall average precision of 0.08.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79001786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Rule-based Mobile Application for Diagnosing Pet Disease: Design and Implementation 基于规则的宠物疾病诊断移动应用:设计与实现

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1325

Ling Li Ng, Hanayanti Hafit, Ruhaya Ab. Aziz, Nur Liesa Mohammad Azemi, Siti Hawa Anurddin

{"title":"A Rule-based Mobile Application for Diagnosing Pet Disease: Design and Implementation","authors":"Ling Li Ng, Hanayanti Hafit, Ruhaya Ab. Aziz, Nur Liesa Mohammad Azemi, Siti Hawa Anurddin","doi":"10.30630/joiv.7.2.1325","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1325","url":null,"abstract":"Animals kept in homes for personal enjoyment rather than for work or sustenance are typically referred to as \"pets.\" A pet's daily schedule can include exercising its muscles and going outside to relieve stress. Pets may occasionally be drink from community water dishes that could be contaminated with other animals' bacteria, viruses, or parasites. The pets may unknowingly get infections due to this opening up their bodies to bacteria or viruses. Pet's behavior and condition need to be periodically checked. An animal's behavior is directly impacted by its health and vice versa. A pet disease diagnosis application is crucial for pet owners to receive consistent and suitable pet health care. It will help pet owners identify potential illnesses before their animals develop chronic ones. Thus, the construction of a mobile application for diagnosing pet diseases is presented in this paper. This application offers pet owners information on their animals' health and safety. Pet owners can contact veterinarians for rare cases or crises in this application's chat room. The rule-based inference is used to determine the possible diseases based on the pet's symptoms. System prototyping methodology is applied to develop this Android mobile application using Visual Studio Code and Firebase database. User acceptance testing is performed on the users to test how much further their satisfaction with the proposed pet disease diagnosis application is before the application is shifted to the production process. ","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"27 7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78181997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early Detection of Asymptomatic Covid-19 Infection with Artificial Neural Network Model Through Voice Recording of Forced Cough 基于强迫咳嗽录音的人工神经网络模型早期检测无症状Covid-19感染

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1812

Aisyah Khairun Nisa, I. Wijaya, Arik Aranta

{"title":"Early Detection of Asymptomatic Covid-19 Infection with Artificial Neural Network Model Through Voice Recording of Forced Cough","authors":"Aisyah Khairun Nisa, I. Wijaya, Arik Aranta","doi":"10.30630/joiv.7.2.1812","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1812","url":null,"abstract":"SARS-CoV-2 is a virus that spreads the infection known as COVID-19, or Coronavirus 2019. According to data from the World Health Organization as of March 15, 2021, Indonesia has 1,419,455 cumulative cases and 38,426 cumulative deaths, ranking third among countries in terms of fatalities, behind Iran and India. Because COVID-19 was disseminated through direct contact with respiratory droplets from an infected individual, it spread swiftly and widely. According to the American Centers for Disease Control and Prevention, more than 50% of transmission rates are anticipated from asymptomatic individuals. The antigen tests have an accuracy of results ranging from 80–90% and are utilized for early detection of COVID-19. The cost of the antigen test is set to increase as of September 3, 2021, with prices ranging from IDR 99.000 to IDR 109.000; however, researchers are steadfastly searching for the best alternate methods for the early diagnosis of COVID-19. According to MIT News Office, a forced cough recording can identify an asymptomatic COVID-19 infection. Through the vocal recording of a forced cough, this study uses an artificial neural network (ANN) deep learning model to identify asymptomatic COVID-19 patients. The Artificial Neural Network (ANN) can distinguish asymptomatic people from forced cough recordings with an accuracy of up to 98% and a loss value of less than 3% by employing oversampling data. This model can be applied as a free, universal method for the early identification of COVID-19 infection.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80474774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Framework for Malay Computational Grammar Formalism based-on Enhanced Pola Grammar 基于强化Pola语法的马来语计算语法形式主义框架

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1172

H. Mohamed, Nur Aisyah Abdul Fataf, Tengku Mohd Tengku Sembok

{"title":"A Framework for Malay Computational Grammar Formalism based-on Enhanced Pola Grammar","authors":"H. Mohamed, Nur Aisyah Abdul Fataf, Tengku Mohd Tengku Sembok","doi":"10.30630/joiv.7.2.1172","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1172","url":null,"abstract":"In the era of IR4.0, Natural Language Processing (NLP) is one of the major focuses because text is stored digitally to code the information. Natural language understanding requires a computational grammar for syntax and semantics of the language in question for this information to be manipulated digitally. Many languages around the world have their own computational grammars for processing syntax and semantics. However, when it comes to the Malay language, the researchers have yet to come across a substantial computational grammar that can process Malay syntax and semantics based on a computational theoretical framework that can be applied in systems such as e-commerce. Hence, we intend to propose a formalism framework based on enhanced Pola Grammar with syntactic and semantic features. The objectives of this proposed framework are to create a linguistic computational formalism for the Malay language based on theoretical linguistic; implement templates for Malay words to handle syntax and semantic features in accordance with the enhanced Pola Grammar; and create a Malay Language Parser Algorithm that can be used for digital applications. To accomplish the objectives, the proposed framework will recursively formalise the computational Malay grammar and lexicon using a combination of solid theoretical linguistic foundations such as Dependency Grammar. A Malay parsing algorithm will be developed for the proposed model until the formalised grammar is deemed reliable. The findings of this indigenous Malay parser will help to advance Malay language applications in the digital economy.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80705910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Resilience of Education System in Higher Education Due to Covid-19 Pandemic in Indonesia: A Systematic Literature Review 新冠肺炎疫情下印尼高等教育体系弹性分析:系统文献综述

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1814

I. B. K. Widiartha, Jun-seok Hwang, Hyoen-yeong Yoon, Oktariani Nurul Pratiwi

{"title":"Analysis of Resilience of Education System in Higher Education Due to Covid-19 Pandemic in Indonesia: A Systematic Literature Review","authors":"I. B. K. Widiartha, Jun-seok Hwang, Hyoen-yeong Yoon, Oktariani Nurul Pratiwi","doi":"10.30630/joiv.7.2.1814","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1814","url":null,"abstract":"This study discusses learning strategies resilience that can be used to improve learning outcomes during the current pandemic circumstances, which have limitations in face-to-face learning. Online learning has many limitations compared to offline one. However, it must keep running because one of the strategies against the SAR-Cov2 virus is to inhibit its spread by limiting direct contact with other people. The literature review is carried out with a protocol involving text mining tools to find the most widely used keywords and their relationships, which is then carried out by a snowball literature review to deepen these keywords. There are several findings from this study, namely (1) Three critical components that play a significant role in improving learning outcomes in the distance learning method, namely the role of students, lectures, and technology. (2) A framework must ensure that the other three components perform their functions properly and provide an effective learning environment. (3) Reward and punishment play a vital role in ensuring the framework is implemented as it should be. Integrating an effective learning environment with remuneration programs and teaching grants will encourage improvements in the learning process and increase the number of positive contents on the Internet. This learning environment can also be a model that supports independent learning activities - an independent campus, the Ministry of Education and Culture of the Republic of Indonesia's flagship program, and digital commercialization in the educational sphere.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79339248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Text Classification Using Genetic Programming with Implementation of Map Reduce and Scraping 基于遗传规划的文本分类及其地图约简和抓取的实现

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1813

W. Wedashwara, Budi Irmawati, Heri Wijayanto, I Wayan Agus Arimbawa, Vandha Widartha

{"title":"Text Classification Using Genetic Programming with Implementation of Map Reduce and Scraping","authors":"W. Wedashwara, Budi Irmawati, Heri Wijayanto, I Wayan Agus Arimbawa, Vandha Widartha","doi":"10.30630/joiv.7.2.1813","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1813","url":null,"abstract":"Classification of text documents on online media is a big data problem and requires automation. Text classification accuracy can decrease if there are many ambiguous terms between classes. Hadoop Map Reduce is a parallel processing framework for big data that has been widely used for text processing on big data. The study presented text classification using genetic programming by pre-processing text using Hadoop map-reduce and collecting data using web scraping. Genetic programming is used to perform association rule mining (ARM) before text classification to analyze big data patterns. The data used are articles from science-direct with the three keywords. This study aims to perform text classification with ARM-based data pattern analysis and data collection system through web-scraping, pre-processing using map-reduce, and text classification using genetic programming. Through web scraping, data has been collected by reducing duplicates as much as 17718. Map-reduce has tokenized and stopped-word removal with 36639 terms with 5189 unique terms and 31450 common terms. Evaluation of ARM with different amounts of multi-tree data can produce more and longer rules and better support. The multi-tree also produces more specific rules and better ARM performance than a single tree. Text classification evaluation shows that a single tree produces better accuracy (0.7042) than a decision tree (0.6892), and the lowest is a multi-tree(0.6754). The evaluation also shows that the ARM results are not in line with the classification results, where a multi-tree shows the best result (0.3904) from the decision tree (0.3588), and the lowest is a single tree (0.356).","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90827299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

(PANDEMIC Covid-19): A Shooter Game for Education - the Impact Measurement of War Games on Virus Eradication Lessons for Students (Covid-19大流行):教育射击游戏——战争游戏对学生根除病毒课程的影响评估

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1167

Angga Wahyu Wibowo, Aisyatul Karima, Afandi Nur Aziz Thohari, Kuwat Santoso, E. Sato-Shimokawara

{"title":"(PANDEMIC Covid-19): A Shooter Game for Education - the Impact Measurement of War Games on Virus Eradication Lessons for Students","authors":"Angga Wahyu Wibowo, Aisyatul Karima, Afandi Nur Aziz Thohari, Kuwat Santoso, E. Sato-Shimokawara","doi":"10.30630/joiv.7.2.1167","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1167","url":null,"abstract":"(PANDEMIC Covid-19) is an educational shooter game inspired by the Covid-19 pandemic which occurred from the end of 2019 until early 2022. There are 2 game modes, namely Third-Person Shooter, or TPS, and First-Person Shooter, or FPS. This study was carried out to highlight the absence of a shooter genre game used in the student learning process. The research methodology in the development of this game applied the pressman method, and the stages include planning, analysis, game development and artificial intelligence, implementation, as well as evaluation. Furthermore, the testing phase used software testing techniques based on the ISO 9126 standard and involved a total of 100 participants. The age range was between 17 and 20 years, while the participants' gender percentages were 55% male and 45% female. Some of the factors tested include functionality, reliability, portability, usability, efficiency, and maintainability. There were 2 choices only in this test, i.e. agree and disagree. The functionality factor had an agreed rate of 85%; reliability 79%, portability 86%, usability 83%, efficiency 79%, and maintainability 87%. Therefore, it was concluded that this game is suitable for use in student learning in the shooter genre. Furthermore, this research was inspired because shooter games have not been developed for the student learning process. This game genre is currently used for hobbies and for profit by developers and professional players. Further research should develop game levels, enable features to play online together with other users, and should be extended to Android and IOS. ","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89681000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing Information Technology Risks to Achieve Business Goals: A Case of Pharmaceutical Company 管理信息技术风险以实现企业目标:以制药公司为例

JOIV International Journal on Informatics Visualization Pub Date : 2023-05-08 DOI: 10.30630/joiv.7.2.1816

Luthfi Ramadani, Berlian Maulidya Izzati, Yosephine Mayagita Tarigan, Rosanicha Rosanicha

{"title":"Managing Information Technology Risks to Achieve Business Goals: A Case of Pharmaceutical Company","authors":"Luthfi Ramadani, Berlian Maulidya Izzati, Yosephine Mayagita Tarigan, Rosanicha Rosanicha","doi":"10.30630/joiv.7.2.1816","DOIUrl":"https://doi.org/10.30630/joiv.7.2.1816","url":null,"abstract":"Extant literature has shown that sectoral characteristics play a critical role in business value creation through information technology (IT). Therefore, managing IT and its associated risks needs to consider specific industrial traits to understand the distinct business nature and regulations that shape IT-enabled business value creation. This study presents an in-depth analysis of business goals, IT processes, and IT risks in the case of a pharmaceutical company through which appropriate controls are designed to ensure business value creation through IT. Drawing on a case study of a pharmaceutical company in Indonesia, we found that managing IT risks in the pharmaceutical industry entails two main objectives: 1) ensuring compliance with external laws and regulations as well as internal policies, 2) supporting the optimization of business functions, processes, and costs. Throughout one year of engagement during the project, this study identified ten risks associated with the operation of business processes. Risks are dominated by moderate levels given the current state of controls and appetite, most of which emerge from the company’s existing internal processes. Internal actors are involved in all risks, with most events occurring due to laws and regulations. Further, the study designs and elaborates IT risk controls by drawing from COBIT 5 Seven Enablers. Overall, IT risk management through cascading processes of analysis ensures the alignment of IT risk controls with achieving business goals in the pharmaceutical industry.","PeriodicalId":32468,"journal":{"name":"JOIV International Journal on Informatics Visualization","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88668991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0