Pub Date : 2023-04-15DOI: 10.23917/khif.v9i1.17974
Dinan Yulianto, A. R. C. Baswara, Lugas Alhawariy, Marina Indah Prasasti, Gema Antika Hariadi
The majority of universities in Indonesia make maximum efforts to participate and excel in the implementation of the Student Creativity Program (namely: PKM). PKM requires students to collaborate interdisciplinary or multidisciplinary. The problem at the beginning of PKM implementation is establishing groups, where students find it difficult to have fellow students or supervisors from different disciplines in groups and according to the topic of their PKM. This research develops a user-oriented interaction and interface of information systems and group management. Development was carried out through a User-Centered Design which consisted of the following stages: plan the human-centered process; understand and specify the context of use; specify the user requirements; produce design solutions to meet user requirements; and evaluate the design against the requirements. Testing using System Usability Scale (SUS) and User Experience Questionnaire (UEQ) approach were conducted on 30 respondents who had competencies as business analysts, programmers, and testers. The results of the mean score of the SUS test are 80, and the mean Score of the UEQ test on the Attractiveness variable is 1.922, Clarity is 2.158, Efficiency is 2.042, Accuracy is 1.708, Stimulation is 1.967, and Novelty is 1.917. The system has achieved the goals and user experience because all the testing scores are above the standard provisions.
{"title":"Development of Information and Management System of Student Competition Groups through User-Centered Design Approach","authors":"Dinan Yulianto, A. R. C. Baswara, Lugas Alhawariy, Marina Indah Prasasti, Gema Antika Hariadi","doi":"10.23917/khif.v9i1.17974","DOIUrl":"https://doi.org/10.23917/khif.v9i1.17974","url":null,"abstract":"The majority of universities in Indonesia make maximum efforts to participate and excel in the implementation of the Student Creativity Program (namely: PKM). PKM requires students to collaborate interdisciplinary or multidisciplinary. The problem at the beginning of PKM implementation is establishing groups, where students find it difficult to have fellow students or supervisors from different disciplines in groups and according to the topic of their PKM. This research develops a user-oriented interaction and interface of information systems and group management. Development was carried out through a User-Centered Design which consisted of the following stages: plan the human-centered process; understand and specify the context of use; specify the user requirements; produce design solutions to meet user requirements; and evaluate the design against the requirements. Testing using System Usability Scale (SUS) and User Experience Questionnaire (UEQ) approach were conducted on 30 respondents who had competencies as business analysts, programmers, and testers. The results of the mean score of the SUS test are 80, and the mean Score of the UEQ test on the Attractiveness variable is 1.922, Clarity is 2.158, Efficiency is 2.042, Accuracy is 1.708, Stimulation is 1.967, and Novelty is 1.917. The system has achieved the goals and user experience because all the testing scores are above the standard provisions.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145932","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}
Pub Date : 2023-04-10DOI: 10.23917/khif.v9i1.18127
Mardiah Mardiah, Annisa Annisa, S. N. Neyman
- Literature review is the first step in starting research for a deep understanding of the research interest. However, finding literature relevant to research interests is difficult and takes time. Skyline query is a method that can be used for filtering. An object p is said to dominate object q if p equals q on all of its attributes, and p is at least better than q on one attribute. Categorical Data Skyline Search (CDSS) is an algorithm that can filter skyline objects in categorical data types such as documents. CDSS uses Extended Distance Wu and Palmer (DEWP) to calculate the distance between the user query and document keywords. The document keywords and user queries are represented as nodes in the ACM CCS ontology, and documents are assumed to be represented by a single keyword. This study aims to use the CDSS algorithm to search for skyline documents represented by more than one keyword by adding an aggregate function (average, minimum, maximum) to the CDSS algorithm, especially in calculating DEWP. This study used the thesis documents from the IPB University computer science department. Document keywords will be extracted using the Term Frequency-Inverse Term Frequency (TF-IDF) method. The collected keywords will be mapped in a mixed ontology tree that refers to the Association of Computing Machinery Computing Classification System 2012 (ACM CCS 2012) and Computer Science Ontology (CSO) as ontology standards in computer science. The skyline query algorithm for determining skyline documents is Block Nested Loop (BNL). The evaluation method uses the skyline ratio of each aggregate function in the CDSS. Based on the ratio value, CDSS using the maximum DEWP has the most relevant skyline results compared to the average DEWP and minimum DEWP.
{"title":"Aggregate Functions in Categorical Data Skyline Search (CDSS) for Multi-keyword Document Search","authors":"Mardiah Mardiah, Annisa Annisa, S. N. Neyman","doi":"10.23917/khif.v9i1.18127","DOIUrl":"https://doi.org/10.23917/khif.v9i1.18127","url":null,"abstract":"- Literature review is the first step in starting research for a deep understanding of the research interest. However, finding literature relevant to research interests is difficult and takes time. Skyline query is a method that can be used for filtering. An object p is said to dominate object q if p equals q on all of its attributes, and p is at least better than q on one attribute. Categorical Data Skyline Search (CDSS) is an algorithm that can filter skyline objects in categorical data types such as documents. CDSS uses Extended Distance Wu and Palmer (DEWP) to calculate the distance between the user query and document keywords. The document keywords and user queries are represented as nodes in the ACM CCS ontology, and documents are assumed to be represented by a single keyword. This study aims to use the CDSS algorithm to search for skyline documents represented by more than one keyword by adding an aggregate function (average, minimum, maximum) to the CDSS algorithm, especially in calculating DEWP. This study used the thesis documents from the IPB University computer science department. Document keywords will be extracted using the Term Frequency-Inverse Term Frequency (TF-IDF) method. The collected keywords will be mapped in a mixed ontology tree that refers to the Association of Computing Machinery Computing Classification System 2012 (ACM CCS 2012) and Computer Science Ontology (CSO) as ontology standards in computer science. The skyline query algorithm for determining skyline documents is Block Nested Loop (BNL). The evaluation method uses the skyline ratio of each aggregate function in the CDSS. Based on the ratio value, CDSS using the maximum DEWP has the most relevant skyline results compared to the average DEWP and minimum DEWP.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121722703","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}
Pub Date : 2023-04-10DOI: 10.23917/khif.v9i1.16759
Mochammad Jafar Tri Febriansyah, S. Wahjuni, Indra Jaya
- Ship stability is very important for the safety of ship motion. There are many factors that affect the stability of a ship. One of the causes of accidents on ships is the problem of ship stability, including the ship cannot be controlled, and loses balance due to improper placement of cargo loads. This study combines gyroscopes, accelerometers, compasses, and GPS sensors, so that more accurate ship tilt information is obtained through an Android smartphone application. This study uses the fuzzy inference system (FIS) method with a trapezoidal membership function where there are 2 inputs and 1 output. Ship tilt input uses 3 linguistic variables very tilted, tilted, and stable. The slope duration input uses 5 very fast, fast, fairly fast, slow, and very slow linguistic variables. Ship status output is divided into 3 linguistic variables safe, alert, and dangerous. Testing and implementation with an input slope of 4.8 and a slope duration of 10 seconds using the Sugeno fuzzy method, the ship's crips value of 0.65 with an alert status was obtained. Calculation of the accuracy of the gyroscope sensor error using the MAPE method, the result is an error percentage of 6.55% (very good). The system accuracy error of 39 trials (36 correct and 3 incorrect) is 92.30% (very good). This research is expected to make it easier for the captain to monitor the stability of the ship and can provide notification of the status of the ship to the captain of the ship if there is a condition of the ship that needs to be watched out for. In addition, the notification will also be received by Port officers on land.
{"title":"Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System","authors":"Mochammad Jafar Tri Febriansyah, S. Wahjuni, Indra Jaya","doi":"10.23917/khif.v9i1.16759","DOIUrl":"https://doi.org/10.23917/khif.v9i1.16759","url":null,"abstract":"- Ship stability is very important for the safety of ship motion. There are many factors that affect the stability of a ship. One of the causes of accidents on ships is the problem of ship stability, including the ship cannot be controlled, and loses balance due to improper placement of cargo loads. This study combines gyroscopes, accelerometers, compasses, and GPS sensors, so that more accurate ship tilt information is obtained through an Android smartphone application. This study uses the fuzzy inference system (FIS) method with a trapezoidal membership function where there are 2 inputs and 1 output. Ship tilt input uses 3 linguistic variables very tilted, tilted, and stable. The slope duration input uses 5 very fast, fast, fairly fast, slow, and very slow linguistic variables. Ship status output is divided into 3 linguistic variables safe, alert, and dangerous. Testing and implementation with an input slope of 4.8 and a slope duration of 10 seconds using the Sugeno fuzzy method, the ship's crips value of 0.65 with an alert status was obtained. Calculation of the accuracy of the gyroscope sensor error using the MAPE method, the result is an error percentage of 6.55% (very good). The system accuracy error of 39 trials (36 correct and 3 incorrect) is 92.30% (very good). This research is expected to make it easier for the captain to monitor the stability of the ship and can provide notification of the status of the ship to the captain of the ship if there is a condition of the ship that needs to be watched out for. In addition, the notification will also be received by Port officers on land.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694596","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}
Pub Date : 2023-04-10DOI: 10.23917/khif.v9i1.18393
S. Mulyati
Attention Deficit Hyperactivity Disorder (ADHD) affects the academic performance of youngsters. Children with ADHD struggle to remain focused during learning due to decreased attention and concentration. They are highly active and have trouble remembering teachers' instructions. Attention difficulties, focus disorders, and hyperactivity might hinder learning. This work aims to observe the impact of serious games with a platformer genre and puzzles titled "Tanji Adventure to the Diamond Temple" on the learning activities of kids with ADHD. The goal is to create a fun and engaging learning environment to boost the motivation and focus of those with ADHD. Game development process utilizes iterative prototyping. Each iteration yields a prototype that refines in the next iteration. The game was tested on children with ADHD by examining their behavior before and after playing to evaluate whether new game mechanics were necessary. The review procedure includes observing youngsters and interviewing teachers and involves specialists to evaluate its contents. The study confirms that the concentration of children with ADHD increase after playing the game. The game incorporates elements that help youngsters with ADHD concentrate and increase their attention span
注意缺陷多动障碍(ADHD)影响青少年的学习成绩。患有多动症的儿童在学习过程中很难保持专注，因为注意力和集中力下降。他们非常活跃，很难记住老师的指示。注意力困难、注意力障碍和多动症可能会阻碍学习。本研究旨在观察平台游戏类型的严肃游戏和益智游戏《Tanji Adventure to the Diamond Temple》对ADHD儿童学习活动的影响。我们的目标是创造一个有趣和吸引人的学习环境，以提高多动症患者的学习动力和注意力。游戏开发过程利用迭代原型。每次迭代都会产生一个原型，在下一次迭代中进行细化。这款游戏是在患有多动症的儿童身上测试的，通过检查他们在玩游戏前后的行为来评估新的游戏机制是否必要。审查程序包括观察青少年和采访教师，并邀请专家对其内容进行评估。该研究证实，患有多动症的儿童在玩完游戏后注意力更加集中。这个游戏包含了一些元素，可以帮助患有多动症的青少年集中注意力，增加他们的注意力
{"title":"Serious Game to Training Focus for Children with Attention Deficit Hyperactivity Disorder: “Tanji Adventure to the Diamond Temple”","authors":"S. Mulyati","doi":"10.23917/khif.v9i1.18393","DOIUrl":"https://doi.org/10.23917/khif.v9i1.18393","url":null,"abstract":"Attention Deficit Hyperactivity Disorder (ADHD) affects the academic performance of youngsters. Children with ADHD struggle to remain focused during learning due to decreased attention and concentration. They are highly active and have trouble remembering teachers' instructions. Attention difficulties, focus disorders, and hyperactivity might hinder learning. This work aims to observe the impact of serious games with a platformer genre and puzzles titled \"Tanji Adventure to the Diamond Temple\" on the learning activities of kids with ADHD. The goal is to create a fun and engaging learning environment to boost the motivation and focus of those with ADHD. Game development process utilizes iterative prototyping. Each iteration yields a prototype that refines in the next iteration. The game was tested on children with ADHD by examining their behavior before and after playing to evaluate whether new game mechanics were necessary. The review procedure includes observing youngsters and interviewing teachers and involves specialists to evaluate its contents. The study confirms that the concentration of children with ADHD increase after playing the game. The game incorporates elements that help youngsters with ADHD concentrate and increase their attention span","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380001","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}
Pub Date : 2023-04-10DOI: 10.23917/khif.v9i1.21207
I. Riadi, A. Fadlil, Izzan Julda D.E Purwadi Putra
One of the arts in Surakarta culture is batik cloth. A batik is a form of heritage from the nation's ancestors whose manufacturing process must use specific tools and materials. Surakarta's typical batik has many patterns and motifs, such as Sawat, Satriomanah, and Semenrante. The pattern is a picture framework whose results will display the type of batik. A batik may resemble one type and another, so a classification technique is needed to determine the type of batik. This study aims to develop a classification method for batik cloth using the Naïve Bayes classification technique. The feature extraction used is the Gray Level Co-Occurrence Matrix (GLCM) to obtain texture values in each image. The stages in this research include pre-processing, feature extraction, classification, and testing. The training data in this study were 200 images for each Sawat, Satriomanah, and Sementrante class obtained from the data augmentation method by flipping, zooming, cropping, shifting, and changing the brightness of the images. The total sample data is 600 images. The amount of training data and data testing was divided three times (60% training and 40% testing), (70% training and 30% testing), and (80% training and 20% testing) for accuracy. In this study, the Naïve Bayes method using WEKA 3.8.6 tools obtained the best accuracy of 97.22% using a 70% percentage split compared to using 80% and 60% percentage splits with a result of 96.66%, this difference occurs due to differences in training data and test data. The results of this study indicate that the Naïve Bayes method can be used to classify batik cloth patterns based on texture feature extraction.
{"title":"Batik Pattern Classification using Naïve Bayes Method Based on Texture Feature Extraction","authors":"I. Riadi, A. Fadlil, Izzan Julda D.E Purwadi Putra","doi":"10.23917/khif.v9i1.21207","DOIUrl":"https://doi.org/10.23917/khif.v9i1.21207","url":null,"abstract":"One of the arts in Surakarta culture is batik cloth. A batik is a form of heritage from the nation's ancestors whose manufacturing process must use specific tools and materials. Surakarta's typical batik has many patterns and motifs, such as Sawat, Satriomanah, and Semenrante. The pattern is a picture framework whose results will display the type of batik. A batik may resemble one type and another, so a classification technique is needed to determine the type of batik. This study aims to develop a classification method for batik cloth using the Naïve Bayes classification technique. The feature extraction used is the Gray Level Co-Occurrence Matrix (GLCM) to obtain texture values in each image. The stages in this research include pre-processing, feature extraction, classification, and testing. The training data in this study were 200 images for each Sawat, Satriomanah, and Sementrante class obtained from the data augmentation method by flipping, zooming, cropping, shifting, and changing the brightness of the images. The total sample data is 600 images. The amount of training data and data testing was divided three times (60% training and 40% testing), (70% training and 30% testing), and (80% training and 20% testing) for accuracy. In this study, the Naïve Bayes method using WEKA 3.8.6 tools obtained the best accuracy of 97.22% using a 70% percentage split compared to using 80% and 60% percentage splits with a result of 96.66%, this difference occurs due to differences in training data and test data. The results of this study indicate that the Naïve Bayes method can be used to classify batik cloth patterns based on texture feature extraction.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132594594","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}
Pub Date : 2023-04-10DOI: 10.23917/khif.v9i1.19409
Ati Suci Dian Martha, Ezar Rizqullah Tsaqif Setyawan, Rosa Reska Riskiana
Financial literacy is a person's skills regarding financial knowledge and behavior. In 2019, the National Survey of Financial Literacy and Inclusion (SNLIK) stated that Indonesia had a low level of financial literacy with a percentage of 38.03%. In 2016, the Indonesian government incorporated financial literacy into the K13 curriculum for the high school level to improve financial literacy at the student level. In line with that, students need facilities to help them learn financial literacy. This study aims to build an interaction design of financial mathematics calculators using the User-Centered Design method. The limitation of this study is the design uses a mobile web platform that targets high school students. The results of usability testing on effectiveness get an average task-completion rate score of 92.3%, an average efficiency of 92.0% overall relative efficiency, user satisfaction using the System Usability Scale (SUS) gets a score of 93.2 for the usability factor and a score of 74 for the learnability factor. The findings of this study indicate that the application is easy to use and provides a positive experience in learning financial literacy. The current study's results will support this application's use in future research as a new tool for providing financial literacy.
{"title":"Measuring Usability on User-Centered Mobile Web Application: Case Study on Financial Mathematics Calculator","authors":"Ati Suci Dian Martha, Ezar Rizqullah Tsaqif Setyawan, Rosa Reska Riskiana","doi":"10.23917/khif.v9i1.19409","DOIUrl":"https://doi.org/10.23917/khif.v9i1.19409","url":null,"abstract":"Financial literacy is a person's skills regarding financial knowledge and behavior. In 2019, the National Survey of Financial Literacy and Inclusion (SNLIK) stated that Indonesia had a low level of financial literacy with a percentage of 38.03%. In 2016, the Indonesian government incorporated financial literacy into the K13 curriculum for the high school level to improve financial literacy at the student level. In line with that, students need facilities to help them learn financial literacy. This study aims to build an interaction design of financial mathematics calculators using the User-Centered Design method. The limitation of this study is the design uses a mobile web platform that targets high school students. The results of usability testing on effectiveness get an average task-completion rate score of 92.3%, an average efficiency of 92.0% overall relative efficiency, user satisfaction using the System Usability Scale (SUS) gets a score of 93.2 for the usability factor and a score of 74 for the learnability factor. The findings of this study indicate that the application is easy to use and provides a positive experience in learning financial literacy. The current study's results will support this application's use in future research as a new tool for providing financial literacy.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116992579","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}
Pub Date : 2022-10-30DOI: 10.23917/khif.v8i2.17995
M. L. Mustagfirin, G. W. Wiriasto, I. M. B. Suksmadana, I. P. Kinasih
Short Message Service (SMS) is a technology for sending messages in text format between two mobile phones that support such a facility. Despite the emergence of many mobile text messaging applications, SMS still finds its use in communication among people and broadcasting messages by governments and mobile providers. SMS users often receive messages from parties, particularly for marketing and business purposes, advertisements, or elements of fraud. Many of those messages are irrelevant and fraudulent spam. This research aims at developing android-based applications that enable the filtering of SMS in Bahasa Indonesia. We investigate 1469 SMS text data and classify them into three categories: Normal, Fraudulent, and Advertisement. The classification or filtering method is the long short-term memory (LSTM) model from TensorFlow. The LSTM model is suitable because it has cell states in the architecture that are useful for storing previous information. The feature is applicable for use on sequential data such as SMS texts because every word in the texts constructs a sequential form to complete a sentence. The observation results show that the classification accuracy level is 95%. This model is then integrated into an Android-based mobile application to execute a real-time classification.
{"title":"Android-Based Short Message Service Filtering using Long Short-Term Memory Classification Model","authors":"M. L. Mustagfirin, G. W. Wiriasto, I. M. B. Suksmadana, I. P. Kinasih","doi":"10.23917/khif.v8i2.17995","DOIUrl":"https://doi.org/10.23917/khif.v8i2.17995","url":null,"abstract":"Short Message Service (SMS) is a technology for sending messages in text format between two mobile phones that support such a facility. Despite the emergence of many mobile text messaging applications, SMS still finds its use in communication among people and broadcasting messages by governments and mobile providers. SMS users often receive messages from parties, particularly for marketing and business purposes, advertisements, or elements of fraud. Many of those messages are irrelevant and fraudulent spam. This research aims at developing android-based applications that enable the filtering of SMS in Bahasa Indonesia. We investigate 1469 SMS text data and classify them into three categories: Normal, Fraudulent, and Advertisement. The classification or filtering method is the long short-term memory (LSTM) model from TensorFlow. The LSTM model is suitable because it has cell states in the architecture that are useful for storing previous information. The feature is applicable for use on sequential data such as SMS texts because every word in the texts constructs a sequential form to complete a sentence. The observation results show that the classification accuracy level is 95%. This model is then integrated into an Android-based mobile application to execute a real-time classification.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114197640","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}
Pub Date : 2022-10-30DOI: 10.23917/khif.v8i2.16235
Zulfa Fajrul Falah, Fajar Suryawan
- The selection of a supervisor is an important thing and one of the determinants of whether or not a student's final project research is successful. At the location of this research, students select a supervisor by considering his academic records and recommendations from classmates or seniors. Words of mouth dominate their motivation, and many students do not have a basis for their choice. Selection of the best-fit supervisor significantly impacts a student's progression. Students will be more enthusiastic about doing the final project and may get facilitation in their research because the topics of the student projects match the supervisor's interests and ongoing work. This study aims to make a recommendation system that suggests a supervisor for a student. The student fills in the title, abstract, and keywords of his proposal. The system gives suggestions to prospective supervisors by calculating the similarity of the data with titles, abstracts, and keywords of published articles found in Google Scholar. The recommendation system uses the content-based filtering method to produce a list of recommendations. The cosine similarity algorithm calculates how similar the topic proposed by students is to the lecturers' interests. In building a website-based recommendation system, the authors use Django web framework as the backend and ReactJs as the frontend. The application succeeds in suggesting final project supervisors that match lecturers' interests and expertise with students' proposals.
{"title":"Recommendation System to Propose Final Project Supervisors using Cosine Similarity Matrix","authors":"Zulfa Fajrul Falah, Fajar Suryawan","doi":"10.23917/khif.v8i2.16235","DOIUrl":"https://doi.org/10.23917/khif.v8i2.16235","url":null,"abstract":"- The selection of a supervisor is an important thing and one of the determinants of whether or not a student's final project research is successful. At the location of this research, students select a supervisor by considering his academic records and recommendations from classmates or seniors. Words of mouth dominate their motivation, and many students do not have a basis for their choice. Selection of the best-fit supervisor significantly impacts a student's progression. Students will be more enthusiastic about doing the final project and may get facilitation in their research because the topics of the student projects match the supervisor's interests and ongoing work. This study aims to make a recommendation system that suggests a supervisor for a student. The student fills in the title, abstract, and keywords of his proposal. The system gives suggestions to prospective supervisors by calculating the similarity of the data with titles, abstracts, and keywords of published articles found in Google Scholar. The recommendation system uses the content-based filtering method to produce a list of recommendations. The cosine similarity algorithm calculates how similar the topic proposed by students is to the lecturers' interests. In building a website-based recommendation system, the authors use Django web framework as the backend and ReactJs as the frontend. The application succeeds in suggesting final project supervisors that match lecturers' interests and expertise with students' proposals.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488867","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}
Pub Date : 2022-10-13DOI: 10.23917/khif.v8i2.15645
Alfian Gema Negara, N. S. Puspitasari
Low back pain restricts activity and causes work absenteeism. Cases of low back pain are common worldwide. This paper presents the design of multimedia-based low back pain myogenic therapy aids. Data collection involves observation and interviews with medical rehabilitation specialists and physiotherapists. The collected data is represented using a production ruler in the form of if - then. Rule-based reasoning can be used as an expert system knowledge base in cases of myogenic low back pain. Forward chaining can be used as an inference engine for similar cases because the reasoning starts from the facts section before reaching the hypothesis. Design of this assistive device model is expected to provide information regarding the choice of therapy for low back pain myogenic by patients, independently at home or with the help of close family. Application design is multimedia-based to make it easier for users to look at examples visually. The expert system application is well accepted by users. Ten physiotherapists and one doctor consider the application performance good because it attains an acceptable value of 0.80 or 80%. The physiotherapists suggest that this assistive device model will likely increase the intensity of therapy because it can be carried out by the patient's family independently.
{"title":"Application of Low Back Pain Myogenic Therapy Based on Multimedia","authors":"Alfian Gema Negara, N. S. Puspitasari","doi":"10.23917/khif.v8i2.15645","DOIUrl":"https://doi.org/10.23917/khif.v8i2.15645","url":null,"abstract":"Low back pain restricts activity and causes work absenteeism. Cases of low back pain are common worldwide. This paper presents the design of multimedia-based low back pain myogenic therapy aids. Data collection involves observation and interviews with medical rehabilitation specialists and physiotherapists. The collected data is represented using a production ruler in the form of if - then. Rule-based reasoning can be used as an expert system knowledge base in cases of myogenic low back pain. Forward chaining can be used as an inference engine for similar cases because the reasoning starts from the facts section before reaching the hypothesis. Design of this assistive device model is expected to provide information regarding the choice of therapy for low back pain myogenic by patients, independently at home or with the help of close family. Application design is multimedia-based to make it easier for users to look at examples visually. The expert system application is well accepted by users. Ten physiotherapists and one doctor consider the application performance good because it attains an acceptable value of 0.80 or 80%. The physiotherapists suggest that this assistive device model will likely increase the intensity of therapy because it can be carried out by the patient's family independently.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583903","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}
Pub Date : 2022-10-13DOI: 10.23917/khif.v8i2.16489
Denny Indrajaya, Adi Setiawan, Djoko Hartanto, Hariyanto Hariyanto
- Object detection is basic research in the field of computer vision to detect objects in an image or video. the TensorFlow framework is a widely adopted framework to create object detection programs and models. In this study, an object detection program and model are designed to detect the shape of a swallow's nest which consists of three classes, namely oval, angular, and bowl. The purpose model creation is to find out the likeliness of the swallow's nest to the three classes for the swallow's nest sorting machine. The adopted architecture in the modeling is the MobileNet V2 FPNLite SSD since the model obtained from this architecture results in a good speed in detecting objects. Based on the evaluation results that has been carried out, the model can detect the shape of the swallow's nest which is divided into 3 classes, but in some cases swallow's nest are detected into two classes. This issues can still be handled by adjustmenting several parameterss to the object detection program. Results shows that the obtained mAP value of 61.91%, indicating the model can detect the shape of a swallow's nest moderately.
{"title":"Object Detection to Identify Shapes of Swallow Nests Using a Deep Learning Algorithm","authors":"Denny Indrajaya, Adi Setiawan, Djoko Hartanto, Hariyanto Hariyanto","doi":"10.23917/khif.v8i2.16489","DOIUrl":"https://doi.org/10.23917/khif.v8i2.16489","url":null,"abstract":"- Object detection is basic research in the field of computer vision to detect objects in an image or video. the TensorFlow framework is a widely adopted framework to create object detection programs and models. In this study, an object detection program and model are designed to detect the shape of a swallow's nest which consists of three classes, namely oval, angular, and bowl. The purpose model creation is to find out the likeliness of the swallow's nest to the three classes for the swallow's nest sorting machine. The adopted architecture in the modeling is the MobileNet V2 FPNLite SSD since the model obtained from this architecture results in a good speed in detecting objects. Based on the evaluation results that has been carried out, the model can detect the shape of the swallow's nest which is divided into 3 classes, but in some cases swallow's nest are detected into two classes. This issues can still be handled by adjustmenting several parameterss to the object detection program. Results shows that the obtained mAP value of 61.91%, indicating the model can detect the shape of a swallow's nest moderately.","PeriodicalId":326094,"journal":{"name":"Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124381477","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}
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