International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
FOCUS AND SCOPE INJIISCOM cover all topics under the fields of Computer Engineering, Information system, and Informatics. Informatics and Information system IT Audit Software Engineering Big Data and Data Mining Internet Of Thing (IoT) Game Development IT Management Computer Network and Security Mobile Computing Security For Mobile Decision Support System Web and Cloud Computing Accounting Information system Electrical and Computer Engineering Sensors and Trandusers Signal, Image, Audio and Video processing Communication and Networking Robotic, Control and Automation Fuzzy and Neural System Artificial Intelligent
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119 Documents
<![CDATA[Sustainable and Digitized Certification of Palm Oil Production : Its Impact on the Environment in Indonesia ]]>
<![CDATA[Fauzan Pratama, Angga]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.5577
<![CDATA[The purpose of this study was to explain sustainable and digitized certification of palm oil production and its impact on the environment in Indonesia. In Indonesia, palm oil producers consist of private plantations as the largest national producers (54%), smallholders (39%), and state-owned plantations (7%). The management of smallholder oil palm still have limitations to accessing technology, production facilities, institutions, and marketing. That is the reason all the palm oil companies need certification to make them standard in facing environtment problems. With the system of digitizing certificate, especially for smallholder companies, it enable to help them transformed the business processes as well as waste treatment.]]>
<![CDATA[GIS-based urban village regional fire risk assessment and mapping ]]>
<![CDATA[Hermawan, Yonathan Andri]]>;
<![CDATA[Warlina, Lia]]>;
<![CDATA[Mohd, Masnizah]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.6041
<![CDATA[Fires in residential areas are one of the threats out of 13 disasters in Indonesia. Fires are disasters based on their causes, classified as disasters caused by human negligence. This research aims to identify residential fire incidents, assess fire risk levels, and map the risk level. We used the geographic information system (GIS) analysis approach and direct observation of the study area. The research location was in the Tamansari sub-district in Bandung City. The subdistrict of Tamansari consists of 20 neighborhood units (rukun warga/ RW) with 22,995 people and 6,598 households. We conducted a field survey from December 2019 to March 2020. We used a spatial approach to analyze fire risk in this residential area by using GIS to map urban-village regional fire incidents and assess the risk level. There were four fire hazard variables: population density, building density, building quality, road class. On the other hand, vulnerability variables are based on the community's social parameters: population density, percentage of old age and children under five, people with disabilities, and the population's sex ratio. The hazard and vulnerability maps overlay showed three neighborhood units (rukun warga/ RW) with a high risk of fire, eight RWs with a moderate risk of residential fires, and nine RWs with a low risk of residential fires. The areas with low-risk categories must remain vigilant because the width of the roads in these areas is relatively narrow.]]>
<![CDATA[Mapping Visualization Analysis of Computer Science Research data in 2017-2021 on the Google Scholar database with VOSviewer ]]>
<![CDATA[Al Husaeni, Dwi Fitria]]>;
<![CDATA[Nandiyanto, Asep Bayu Dani]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 1 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i1.6376
<![CDATA[The purpose of this research is to examine the development and interrelationships between terms in computer science research using mapping analysis with VOSviewer. The research data was collected from the Google Scholar database for the period 2017-2021 using the Publish or Perish 7 application. Data collection was based on the keyword "Computer Science". The data search results found 992 articles that were considered relevant. The results showed that computer science research experienced high popularity in 2018 with a total of 232 articles. Computer science research experienced a decline in research in 2019-2021. Based on the mapping analysis that has been done using the VOSviewer application, computer science terms are connected to 4 main terms in each cluster, namely student, computer science education, education, and skills. Computer science research is mostly associated with the term student, namely the strength of link 221. This research can be used as a reference in determining the research theme or research discussion topic in the field of computer science.]]>
<![CDATA[Image Mosaicking Using Low-Distance High-Resolution Images Captured by an Unmanned Aerial Vehicle ]]>
<![CDATA[Hassan, Faez M.]]>;
<![CDATA[Mossa, Hussein Abdelwahab]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.6668
<![CDATA[Regional surveys will have a high demand for coverage. To adequately cover a large area while retaining high resolution, mosaics of the area from a variety of scenes can be created. This paper describes a mosaicking procedure that consists of a series of processing steps used to combine multiple aerial images. These images were taken from CropCam unmanned aerial platform flight missions over the desired area to quickly map a large geographical region. The results of periodic processing can be compared and analyzed to monitor a large area for future research or during an emergency situation in the covered area. Digital imagery captured from the air has proven to be a valuable resource for studying land cover and land use. For this study, airborne digital camera images were chosen because they provide data with a higher spatial resolution for trying to map a small research area. On board the UAV autopilot, images were captured from an elevation of 320 meters using a standard digital camera. When compared to other airborne studies, this technique was less expensive and more cost effective. According to this study, onboard a UAV autopilot, a digital camera serves as a sensor, which can be helpful in planning and developing a limited coverage area after mosaicking]]>
<![CDATA[XBRL Open Information Model for Risk Based Tax Audit using Machine Learning ]]>
<![CDATA[Suryo Wibowo, Bagas Dwi]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 1 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i1.6891
<![CDATA[Tax audit is an effective instrument for preserving tax compliance, and risk-based tax audit selection can optimize it. Risk-based tax audit selection selectively auditing on high financial risk wealthy taxpayers. In contrast, manually selecting amid the plethora of taxpayer data is difficult, prone to human error, costly and time-consuming. Fortunately, using Extensible Business Report Language (XBRL) as a well-known financial statement reporting standard enables automation. This project proposed software named XAFR as a model for extracting, transforming, and loading the latest XBRL Open Information Model (OIM) 1.0 standard US-SEC dataset and provided it as a data source for risk classification using rule-based risk scoring and Machine Learning. Several thorough testing exposed Random Forest classifier as the best model for Machine Learning risk classification with high accuracy, revealing the excellent collaboration of rule-based risk scoring approach with Machine Learning for risk classification and the importance of XBRL as a transparent but robust report standard that tax authorities can utilize. The excellent system integration resulted in the ability to expose wealthy high-risk taxpayers and high-risk industries and predict risk classification based on two-year financial statements. Moreover, this report introduces the critical importance of RCA (Risk, Current Ratio, Assets) analysis and SIC (Standard Industry Classification) utilization to generate risk classification, rank and explanation. This project utilizes financial indicators in the limited year and leaves the semantic analysis for future works because of time and hardware limitations. The possibility of predicting the possible tax debt prediction are promising Machine Learning future developments]]>
<![CDATA[Risks of Chronic Kidney Disease Prediction using various Data Mining Algorithms ]]>
<![CDATA[Devi C, Akalya]]>;
<![CDATA[Abdul Jabbar, Fatima]]>;
<![CDATA[Varshini S, Kavi]]>;
<![CDATA[S Rithanya, Kriti]]>;
<![CDATA[M, Miruthubashini]]>;
<![CDATA[K S, Naveena]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.6907
<![CDATA[Twenty million people have chronic kidney disease where patients experience a gradual deterioration of kidney function, the result of which is kidney failure. Early detection of chronic renal disease can help to slow its progression, avert complications, and reduce the risk of cardiovascular complications. Data mining has been broadly used in order to support medical professionals and physicians in the prediction and examination. Here, in this paper, multiple data mining algorithms are used to solve a problem in the field of medical diagnosis and examine how effective they were at predicting the consequences. The study's focus was on the diagnosis of chronic renal disease. This dataset used for this study consists 400 instances & 25 attributes. Preprocessing of the large amount of raw data is carried out to impute any missing data and determine which of the variables should be taken into account in the prediction models. The accuracy of the prediction is used to compare and contrast the various predictive analytic models]]>
<![CDATA[Agricultural Drone Zoning and Deployment Strategy with Multiple Flights Considering Takeoff Point Reach Distance Minimization ]]>
<![CDATA[Singgih, Ivan Kristianto]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.7208
<![CDATA[In the agricultural sector, drones are used to spray chemicals for the plants. A lawn mowing movement pattern is one of the widely used methods when deploying the drones because of its simplicity. A route planner determines some pre-set routes before making the drones to fly based on them. Each drone flight is limited by its battery level or level of spray liquids. To efficiently complete the spraying task, multiple drones need to be deployed simultaneously. In this study, we study a multiple drone zoning and deployment strategy that minimizes the cost to set up equipment at the takeoff points, e.g., between flights. We propose a method to set the flight starting points and directions appropriately, given various target areas to cover. This is the first study that discusses the spraying drone zoning and deployment plan while minimizing the number of takeoff points, which plays an important role in reducing the drone set up and deployment costs. The suggested procedure helps drone route planners to generate good routes within a short time. The generated routes could be used by the planner for their chemical spraying activity and could be used as initial input for their design, which can be improved with the planners’ experience. Our study shows that when generating an efficient route, we must consider the number of flight area levels, directions of the drone movements, the number of U-turns of the drones, and the start points of the drone flights]]>
<![CDATA[An Efficient Fuzzy Clustering Algorithm for Mining User Session Clusters on Web Log Data ]]>
<![CDATA[Mallik, Moksud Alam]]>;
<![CDATA[Zulkurnain, Nurul Fariza]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.7349
<![CDATA[Data mining is extremely vital to get important information from the web. Additionally, web usage mining (WUM) is essential for companies. WUM permits organizations to create rich information related to the eventual fate of their commercial capacity. The utilization of data that is assembled by Web Usage Mining gives the organizations the capacity to deliver results more compelling to their organizations and expanding of sales. Client access patterns can be mined from web access log information using Web Usage Mining (WUM) techniques. Because there are so many end-user sessions and URL resources, the size of web user session data is enormous. Human communications and non-deterministic browsing patterns increment equivocalness and dubiousness of client session information. The fuzzy set-based approach can solve most of the challenges listed above. This paper proposes an efficient Fuzzy Clustering algorithm for mining client session clusters from web access log information to find the groups of client profiles. In addition, the methodologies to preprocess the net log data as well as data cleanup client identification and session identification are going to be mentioned. This incorporates the strategy to do include choice (or dimensionality decrease) and meeting weight task assignments]]>
<![CDATA[Aspect-Based Sentiment Analysis on Amazon Product Reviews ]]>
<![CDATA[Abubakar, Muhammad]]>;
<![CDATA[Shahzad, Amir]]>;
<![CDATA[Abbasi, Husna]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v2i2.7455
<![CDATA[The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for evaluating Amazon product review sentiment analysis. Customers can learn about a product's quality by reading reviews. Several product review characteristics, such as quality, time of evaluation, material in terms of product lifespan and excellent client feedback from the past, will have an impact on product rankings. Manual interventions are required to analyse these reviews, which are not only time consuming but also prone to errors. As a result, automatic models and procedures are required to effectively manage product reviews. (NLP) is the most practical method for training a neural network in this era of artificial intelligence. First, the Naive Bayes classifier was used to analyse the sentiment of consumer in this study. The (SVM) has categorizeduser sentiments into binary categories. The goal of the approach is to forecast some of the most important characteristics of an amazon-based product reviews, and then analyse Customer attitudes about these aspects. The suggested model is validated using a large-scale real-world dataset gathered specifically for this purpose. The dataset is made up of thousands of manually annotated product reviews gathered from amazon. After passing the input via the network model, (TF) and (IDF) pre-processing methods were used to evaluate the feature. The outcomes precision, recall and F1 score are very promising]]>
<![CDATA[Development of Pec Based Electrical Load Schedule Software ]]>
<![CDATA[Alvaro, Ralph G.]]>;
<![CDATA[B. Cabrera, Eric Kenneth]]>;
<![CDATA[G. Gutierrez, Raineir Ryan]]>;
<![CDATA[D. Punzalan, Joshua]]>;
<![CDATA[G. Serrano, Louie]]>;
<![CDATA[L. Tangcuangco, Alma]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 1 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i1.7555
<![CDATA[This paper presents the development of PEC-based electrical load schedule software for residential electrical services design. All the sources that will be used for the computation and data will be based on PEC. The testing of the project will be carried out in accordance with PEC as well as other approved codes. Calculating tools to help you understand the process of accurately sizing a commercial electrical panel based on proposed loads. To emphasize, accurate load sizing is best performed by an electrical engineer, which is reviewed by the building department in your jurisdiction. The software was developed using Visual Basic (VB. net) programming language. Vb.net, or Visual Basic, is a development of the BASIC programming language. It is intended to be used in conjunction with an Integrated Development Environment (IDE). Prior to the development of IDEs, programming languages like BASIC relied significantly on the DOS command-line. A load schedule for different operating scenarios will show when peak consumption occurs and provide an opportunity to find out if all the high loads must operate at this time. It serves as a valuable calculation tool for electrical engineers, students, and technicians by providing a faster, easier, and more accurate means of carrying out some basic calculations, such as determination of the size of wire; conduit sizes; circuit breaker ratings; the main feeder size of wires; main circuit breaker ratings; voltage drop; and riser diagram using Philippine Electrical Code Tables. The results of these calculations help the designer to make vital decisions such as cable sizing and nominal ratings of protective devices required by each circuit and by the entire installation, in line with appropriate standards and regulations.]]>
