Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika最新文献_第2页

Backtracking and k-Nearest Neighbour for Non-Player Character to Balance Opponent in a Turn-Based Role Playing Game of Anagram 回合制角色扮演游戏中非玩家角色平衡对手的回溯和k近邻

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-10-02 DOI: 10.23917/khif.v8i2.16902

Yosa Aditya Prakosa, Alfa Faridh Suni

{"title":"Backtracking and k-Nearest Neighbour for Non-Player Character to Balance Opponent in a Turn-Based Role Playing Game of Anagram","authors":"Yosa Aditya Prakosa, Alfa Faridh Suni","doi":"10.23917/khif.v8i2.16902","DOIUrl":"https://doi.org/10.23917/khif.v8i2.16902","url":null,"abstract":"– Anagram is a turn-based role-playing game where two players construct words by arranging given letters. A significant aspect of playing a game is the challenge. A good challenge comes from an opponent with a close ability. In a two-player game like Anagram, the second player can be a nonhuman player called Non-Playable Character (NPC). A balanced game is more engaging. Therefore, it is imperative to insert artificial intelligence (AI) into an NPC to make it possess a balance ability. This study investigates the AI algorithm that is the most appropriate to make a balance NPC for Anagram games. We tested three scenarios: Descending AI, Random AI, and AI with k-Nearest Neighbour (k-NN). Descending AI gets an Anagram solution by selecting a word with the highest score from all possible answers. Random AI picks a word randomly from the possible answers, while AI with k-NN chooses a word closest to one of the human players. The results show that Descending AI is the best algorithm to make the strongest NPC, which always gets the highest score, followed by Random AI and AI with k-NN. However, AI with the k-NN algorithm makes the constructed NPC has the highest number of turns at an average of 18, while Descending AI gets 14 turns and Random AI has 15 turns. Looking at the remaining lives at the end of the game, AI with k-NN makes the NPC has 25 lives left, while Descending AI has 59 lives, and Random AI has 48 lives. Less remaining lives suggest that NPC containing AI with the k-NN algorithm matches closer to the human player and therefore is more suitable for Anagram NPC.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114591607","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

Job Scheduling on Grid Computing Using First Fit, Best Fit, and Worst Fit 网格计算中的作业调度:第一拟合、最佳拟合和最差拟合

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-09-15 DOI: 10.23917/khif.v8i2.17069

Ardi Pujiyanta, Fiftin Novianto

{"title":"Job Scheduling on Grid Computing Using First Fit, Best Fit, and Worst Fit","authors":"Ardi Pujiyanta, Fiftin Novianto","doi":"10.23917/khif.v8i2.17069","DOIUrl":"https://doi.org/10.23917/khif.v8i2.17069","url":null,"abstract":"Grid computing can be considered large-scale distributed cluster computing and parallel distributed network processing. The two most important issues in managing user work are resource allocation and scheduling of required resources. When user jobs are submitted, they are managed by resource intermediaries who find and allocate the right resources. After the resource allocation stage, work scheduled on the existing resources according to the user's required resources. In most grid systems with traditional scheduling, jobs are submitted and placed in waiting room queues to wait for the required resources to become available. Each grid system can use a different scheduling algorithm to execute jobs based on other parameters, such as resources, delivery time, and execution duration. There is no guarantee that these traditional scheduling algorithms will get the job done. The First Come First Serve Left Right Hole Scheduling (FCFS-LRH) reservation strategy improves resource utilization in a grid system by using a local scheduler. Compared to traditional strategies. There are two objectives of this research. First, compare the first fit, best fit, and worst fit algorithms to find empty timeslots and place them in a virtual view. Second, reduce the idle time value. The results showed that the FCFS-LRH method could reduce the idle time value of the FCFS-EDF and FCFS methods. The overall execution time of the first fit with the FCFS-LRH strategy is better than the FCFS-EDF","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736846","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

Risk Management in Software Development Projects: A Systematic Literature Review 软件开发项目中的风险管理:系统的文献综述

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-09-15 DOI: 10.23917/khif.v8i2.17488

Marzuki Pilliang, M. Munawar

{"title":"Risk Management in Software Development Projects: A Systematic Literature Review","authors":"Marzuki Pilliang, M. Munawar","doi":"10.23917/khif.v8i2.17488","DOIUrl":"https://doi.org/10.23917/khif.v8i2.17488","url":null,"abstract":"Risk Management is an integral part of every project. Risk management must estimate the risks’ significance, especially in the SDLC process, and mitigate those risks. Since 2016, many papers and journals have researched planning, design, and risk control in software development projects over the last five years. This study aims to find the most exciting topics for researchers in risk management, especially in software engineering projects. This paper takes a systematic approach to reviewing articles containing risk management in software development projects. This study collects papers and journals included in the international online library database, then summarizes them according to the stages of the PICOC methodology. This paper results in the focus of research in the last five years on Agile methods. The current issue is that many researchers are trying to explicitly integrate risk management into the Agile development process by creating a comprehensive risk management framework. This SLR helps future research get a theoretical basis to solve the studied problem. The SLR explains the focuses of previous research, analysis of research results, and the weaknesses of the investigation. For further study, take one of the topic papers, do a critical review, and find research gaps.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129733558","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

Herbal Compound Screening with GPU Computation on ZINC Database through Similarity Comparison Approach 基于相似比较法的锌数据库GPU计算筛选中药复方

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-09-15 DOI: 10.23917/khif.v8i2.16349

Refianto Damai Darmawan, W. Kusuma, H. Rahmawan

引用次数: 0

Design of Dental Disease Knowledge Base Editor Dialog using ISR-Framework 利用isr框架设计牙病知识库编辑对话框

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-04-22 DOI: 10.23917/khif.v8i1.15107

Aridhanyati Arifin, Rahadian Kurniawan, S. Kusumadewi, Andri Panca Purnama, Kukuh Eka Nugraha

{"title":"Design of Dental Disease Knowledge Base Editor Dialog using ISR-Framework","authors":"Aridhanyati Arifin, Rahadian Kurniawan, S. Kusumadewi, Andri Panca Purnama, Kukuh Eka Nugraha","doi":"10.23917/khif.v8i1.15107","DOIUrl":"https://doi.org/10.23917/khif.v8i1.15107","url":null,"abstract":"- Dental disease is one of the health problems commonly found in Indonesia. Data from the Indonesian Health Authority indicates an imbalance between the number of handled dental cases and the number of dental specialists who treat them. Technological advances bring significant improvements in the quality of medical services. A reliable Group Decision Support System (GDSS) requires a knowledge base editor for expert knowledge acquisition. A critical aspect in building a knowledge base is the interactive interface design. The problem that often arises is that experts find it hard to use a system because the interface does not meet their expectations. In this study, we analyze the interface requirements for a knowledge base editor with a group of experts. The purpose is to report on the process of designing a knowledge base editor interface with a user-centered expert group using the Information Systems Research (ISR-Framework) framework. We conducted several Focus Group Discussions involving 20 dentists, one dental specialist, and one Information Technology Expert in the GDSS field. The repetitive characteristics of this method help increase the value of user satisfaction. The research results expectedly support the ISR framework as a guide for designing future knowledge acquisition applications.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117273755","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

Detection of Highway Lane using Color Filtering and Line Determination 基于颜色滤波和线路确定的高速公路车道检测

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-03-26 DOI: 10.23917/khif.v8i1.15854

I. M. Erwin, D. Prajitno, E. Prakasa

引用次数: 1

Information System on Mapping and Geolocation of COVID-19 in the City of Sukabumi 素kabumi市COVID-19测绘和地理定位信息系统

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-03-16 DOI: 10.23917/khif.v8i1.13727

Asril Adi Sunarto, Yuli Noviawan

{"title":"Information System on Mapping and Geolocation of COVID-19 in the City of Sukabumi","authors":"Asril Adi Sunarto, Yuli Noviawan","doi":"10.23917/khif.v8i1.13727","DOIUrl":"https://doi.org/10.23917/khif.v8i1.13727","url":null,"abstract":"Coronavirus Disease (COVID-19) has made Indonesia's health condition critical. Therefore, the President of the Republic of Indonesia disclosed Presidential Decree No. 7 in 2020 regarding the Task Force for the Acceleration of Coronavirus Disease 2019 (COVID-19) Handling. The decree relates to Act No. 14 in 2008 regarding Public Information Disclosure, Presidential Regulation No. 95 in 2018 concerning Electronic-Based Government Systems, and Presidential Instruction No. 3 in 2003 concerning National Policies and Strategies for E-Government Development. The decree demands information system development, similar to https://covid19.go .id, which describes COVID-19 nationwide. The site explains what COVID-19 and data of the COVID-19 outspread with geolocation and digital map, which may attract public attention. The presidential instruction forces local governments to build an information system, which is in line with the site by the central government. This paper describes the development of the system using a spiral model. It involves a variety of free and open-source software such as CodeIgniter, Mapbox, Morris Chart, MySQL, and WordPress. The site has been operational, and it attracts 150 visitors a day with 200 visits per day. As of January 6, 2021, the website has recorded 89,852 views.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123136848","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

Combination of Support Vector Machine and Lexicon-Based Algorithm in Twitter Sentiment Analysis 支持向量机与基于词典的算法在Twitter情感分析中的结合

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-03-10 DOI: 10.23917/khif.v8i1.15213

Rindu Hafil Muhammadi, Tri Ginanjar Laksana, Amalia Beladinna Arifa

{"title":"Combination of Support Vector Machine and Lexicon-Based Algorithm in Twitter Sentiment Analysis","authors":"Rindu Hafil Muhammadi, Tri Ginanjar Laksana, Amalia Beladinna Arifa","doi":"10.23917/khif.v8i1.15213","DOIUrl":"https://doi.org/10.23917/khif.v8i1.15213","url":null,"abstract":"- Data from the Ministry of Civil Works and Public Housing (Kementrian PUPR) in 2019 shows that around 81 million millennials do not own houses. Government Regulation Number 25 of 2020 on the Implementation of Public Housing Savings, commonly called PP 25 Tapera 2020, is one of the government’s efforts to ensure that Indonesian people can afford houses. Tapera is a deposit of workers for house financing, which is refundable after the term expires. Immediately after enaction, there were many public responses regarding the ordinance. We investigate public sentiments commenting on the regulation and use Support Vector Machine (SVM) in the study since it has a good level of accuracy. It also requires labels and training data. To speed up labeling, we use the lexicon-based method. The issue in the lexicon-based lies in the dictionary component as the most significant factor. Therefore, it is possible to update the dictionary automatically by combining lexicon-based and SVM. The SVM approach can contribute to lexicon-based, and lexicon-based can help label datasets on SVM to produce good accuracy. The research begins with collecting data from Twitter, preprocessing raw and unstructured data into ready-to-use data, labeling the data with lexicon-based, weighting with TF-IDF, processing using SVM, and evaluating algorithm performance model with a confusion matrix. The results showed that the combination of lexicon-based and SVM worked well. Lexicon-based managed to label 519 tweet data. SVM managed to get an accuracy value of 81.73% with the RBF kernel function. Another test with a Sigmoid kernel attains the highest precision at 78.68%. The RBF kernel has the highest recall result with a value of 81.73%. Then, the F1-score for both the RBF kernel and Sigmoid is 79.60%.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541026","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: 3

Automatic Gate for Body Temperature Check and Masks Wearing Compliance Using an Embedded System and Deep Learning 基于嵌入式系统和深度学习的体温检测和口罩佩戴合规性自动门

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-03-04 DOI: 10.23917/khif.v8i1.15205

Rahman Indra Kesuma, Rivaldo Fernandes, Martin Clinton Tosima Manullang

{"title":"Automatic Gate for Body Temperature Check and Masks Wearing Compliance Using an Embedded System and Deep Learning","authors":"Rahman Indra Kesuma, Rivaldo Fernandes, Martin Clinton Tosima Manullang","doi":"10.23917/khif.v8i1.15205","DOIUrl":"https://doi.org/10.23917/khif.v8i1.15205","url":null,"abstract":"- A new coronavirus variant known as n-Cov has emerged with a fast transmission rate. The World Health Organization (WHO) has declared the related disease or COVID-19 as a global pandemic that requires special handling. Many parties have shown efforts to reduce virus transmission by implementing health protocols and adapting a new normal lifestyle. Implementation of the health protocol creates new problems, especially in the health check at the main entrance. The officers in charge of measuring body temperature are at risk of getting infected by COVID. Such a measurement is prone to errors. This study proposed a solution to build an automatic gate system that worked based on the new normal health protocol. The system utilizes the MLX90614 contactless temperature sensor to probe body temperature. It applies deep learning implementing the Convolutional Neural Network (CNN) algorithm with the MobileNetV2 architecture as a determinant of the conditions of wearing face masks. The system is equipped with an IoT-based remote controller to control the gate. Experimental results prove that the system works well. Temperature measurement takes a response time of 20 seconds for each user with 99% accuracy for the sensor and masks classification model.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124742570","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

Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method 基于Apriori算法和K-Means方法的互联网用户行为离婚事实检测

Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Pub Date : 2022-03-04 DOI: 10.23917/khif.v8i1.14036

S. Enggari, Sarjon Defit

引用次数: 0