- Az Zuhra Pekanbaru Institute is an institution that operates in the field of computer education. Currently, what is widely used in libraries is DIGILIB, a web-based information system, especially at the Az Zuhra Institute in Pekanbaru. The survey results showed that the first problem was that they were not satisfied enough with the existing book collection and the accuracy of the information provided by DIGILIB. The second problem is that the data or processes used are sometimes incorrect or unreliable when students access lectures. This research uses the Usability Testing and User Experience Questionnaire (UEQ) methods. The purpose of this research is to determine the User Experience on the DIGILIB website. By using the DIGILIB Website Usability Testing method, it was found that the Learnability indicator had the highest rating with a value of 3.38, second place was the Efficiency and Errors indicator. The efficiency with an assessment of 3.33, Errors with an assessment of 3.33, the fourth is Memorability with a value of 3.31, the last is Satisfaction with a value of 3.30, and uses the UEQ Website DIGILIB method on the scale of Attractiveness, Perspiculty, Efficiency, Stimulation, Dependability, and Novelty show positive with an average value above 0.683. In this research, it was found that the user experience on the DIGILIB website, regardless of the services available, provided positive or good value.
{"title":"Analisis User Experience Website Digilib Menggunakan Metode Usability Testing Dan UEQ","authors":"Fakhrusy Syakirin, Mona Fronita, Eki Saputra, Medyantiwi Rahmawita","doi":"10.35314/isi.v8i2.3690","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3690","url":null,"abstract":"- Az Zuhra Pekanbaru Institute is an institution that operates in the field of computer education. Currently, what is widely used in libraries is DIGILIB, a web-based information system, especially at the Az Zuhra Institute in Pekanbaru. The survey results showed that the first problem was that they were not satisfied enough with the existing book collection and the accuracy of the information provided by DIGILIB. The second problem is that the data or processes used are sometimes incorrect or unreliable when students access lectures. This research uses the Usability Testing and User Experience Questionnaire (UEQ) methods. The purpose of this research is to determine the User Experience on the DIGILIB website. By using the DIGILIB Website Usability Testing method, it was found that the Learnability indicator had the highest rating with a value of 3.38, second place was the Efficiency and Errors indicator. The efficiency with an assessment of 3.33, Errors with an assessment of 3.33, the fourth is Memorability with a value of 3.31, the last is Satisfaction with a value of 3.30, and uses the UEQ Website DIGILIB method on the scale of Attractiveness, Perspiculty, Efficiency, Stimulation, Dependability, and Novelty show positive with an average value above 0.683. In this research, it was found that the user experience on the DIGILIB website, regardless of the services available, provided positive or good value.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"29 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265924","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}
Abstrack - South Sumatra is the region with the highest production of pineapples in 2021. The process of selling pineapples depends on the size and maturity. Farmers classify pineapples subjectively with both eyes, causing the classification process to be ineffective. Machine learning technology is developing very rapidly, one of which is deep learning which uses very deep neural networks to learn feature representations of data automatically. This study aims to implement the Convolutional Neural Network (CNN) algorithm to classify the ripeness and size of pineapples so that the sorting process for pineapple production can be effective and accurate. There are 6 classification labels, namely, large ripe pineapple, large half ripe, medium ripe, medium half ripe, small ripe, and small half ripe. Raspberry Pi 3B+ and Pi camera are used as fruit image capture tools. The results of the training process accuracy were 99.4%, and the validation process accuracy was 92.4% with a dataset of 275 data for each label. The dataset is used 80% as training data and 20% as validation data. Meanwhile, for testing the tool, 90 test data were used with an accuracy of 90.83%. And the results of the classification will appear on the Android application including the amount of pineapple stock that has been detected, so that it can make it easier for farmers to sort pineapples.
{"title":"Implementasi Convolutional Neural Network Pada Alat Klasifikasi Kematangan dan Ukuran Buah Nanas Berbasis Android","authors":"Irma Salamah, Sherina Humairoh, S. Soim","doi":"10.35314/isi.v8i2.3413","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3413","url":null,"abstract":"Abstrack - South Sumatra is the region with the highest production of pineapples in 2021. The process of selling pineapples depends on the size and maturity. Farmers classify pineapples subjectively with both eyes, causing the classification process to be ineffective. Machine learning technology is developing very rapidly, one of which is deep learning which uses very deep neural networks to learn feature representations of data automatically. This study aims to implement the Convolutional Neural Network (CNN) algorithm to classify the ripeness and size of pineapples so that the sorting process for pineapple production can be effective and accurate. There are 6 classification labels, namely, large ripe pineapple, large half ripe, medium ripe, medium half ripe, small ripe, and small half ripe. Raspberry Pi 3B+ and Pi camera are used as fruit image capture tools. The results of the training process accuracy were 99.4%, and the validation process accuracy was 92.4% with a dataset of 275 data for each label. The dataset is used 80% as training data and 20% as validation data. Meanwhile, for testing the tool, 90 test data were used with an accuracy of 90.83%. And the results of the classification will appear on the Android application including the amount of pineapple stock that has been detected, so that it can make it easier for farmers to sort pineapples.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264099","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}
The Simple Additive Weighting (SAW) method is a well-known and widely utilized approach for decision-making in various disciplines. The SAW method involves a step-by-step process that enables decision-makers to evaluate and rank alternatives based on their respective attribute values and assigned weights. Within this context, this paper aims to provide a comprehensive exploration of SAW for decision-making. This study demonstrates the utilization of the SAW method in supplier selection, which aims to streamline and optimize the supply chain management process for organizational business.The resultsderived from the study have revealed its practicality, effectiveness, and adaptability in handling multi-criteria decision problems, by examining its principles, advantages, limitations, and application based on real situations. It's important to note that the method's reliance on accurate weight assignment to criteria poses a challenge. This process can be subjective and intricate, especially when faced with conflicting objectives. However, SAW stands as a valuable addition to the decision-maker's toolkit, providing a structured and transparent framework for making well-informed choices amidst complexity.
{"title":"Exploring Simple Addictive Weighting (SAW) for Decision-Making","authors":"I’tishom Al Khoiry, D. Amelia","doi":"10.35314/isi.v8i2.3433","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3433","url":null,"abstract":"The Simple Additive Weighting (SAW) method is a well-known and widely utilized approach for decision-making in various disciplines. The SAW method involves a step-by-step process that enables decision-makers to evaluate and rank alternatives based on their respective attribute values and assigned weights. Within this context, this paper aims to provide a comprehensive exploration of SAW for decision-making. This study demonstrates the utilization of the SAW method in supplier selection, which aims to streamline and optimize the supply chain management process for organizational business.The resultsderived from the study have revealed its practicality, effectiveness, and adaptability in handling multi-criteria decision problems, by examining its principles, advantages, limitations, and application based on real situations. It's important to note that the method's reliance on accurate weight assignment to criteria poses a challenge. This process can be subjective and intricate, especially when faced with conflicting objectives. However, SAW stands as a valuable addition to the decision-maker's toolkit, providing a structured and transparent framework for making well-informed choices amidst complexity.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265260","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}
Istianah Muslim, Sugeng Purwantoro E.S.G.S, Amos Ivan Nugraha
- The credibility of a university today is shown by the existence of a professionally designed website with informative and updated content. The website is also an effective communicative means to improve the branding of a university. Realizing this, Riau Caltex Polytechnic redesigned the website according to user needs, meeting UI / UX aspects, and all information was presented properly and up to date. The performance of the PCR website is currently considered monotonous and less attractive in terms of appearance, some pages contained on the website are not responsive so they are not mobile friendly, there is too much use of buttons on the home page, and need to update the diversity of information so that it can meet the various needs of the institution. Overcoming these problems, the UI/UX redesign of the PCR website was carried out in the form of a prototype design to become the foundation in designing the front end and back end of the Riau Caltex Polytechnic Website V.2. The method used is a series of stages in design thinking. With the implementation of the design thinking method in 2 iterations, the problems contained in the current PCR website can be resolved because it involves users at all stages and all user needs can be met. The results of the UI/UX design of this website obtained an SEQ score of 7 which shows the ease of users in using the website design and an average SUS score of 93 in the "Excellent," category.
{"title":"Implementasi Metode Design thinking dalam Perancangan Ulang UI/UX Website Perguruan Tinggi","authors":"Istianah Muslim, Sugeng Purwantoro E.S.G.S, Amos Ivan Nugraha","doi":"10.35314/isi.v8i2.3731","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3731","url":null,"abstract":"- The credibility of a university today is shown by the existence of a professionally designed website with informative and updated content. The website is also an effective communicative means to improve the branding of a university. Realizing this, Riau Caltex Polytechnic redesigned the website according to user needs, meeting UI / UX aspects, and all information was presented properly and up to date. The performance of the PCR website is currently considered monotonous and less attractive in terms of appearance, some pages contained on the website are not responsive so they are not mobile friendly, there is too much use of buttons on the home page, and need to update the diversity of information so that it can meet the various needs of the institution. Overcoming these problems, the UI/UX redesign of the PCR website was carried out in the form of a prototype design to become the foundation in designing the front end and back end of the Riau Caltex Polytechnic Website V.2. The method used is a series of stages in design thinking. With the implementation of the design thinking method in 2 iterations, the problems contained in the current PCR website can be resolved because it involves users at all stages and all user needs can be met. The results of the UI/UX design of this website obtained an SEQ score of 7 which shows the ease of users in using the website design and an average SUS score of 93 in the \"Excellent,\" category.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"28 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265403","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}
– Over time, many data mining methods have been created and suggested to help in making decisions. Due to limited resources, this article only provides a systematic literature review in comparing the performance of the Naïve Bayes, Decision Tree, Nerral Network, Random Forest, and Support Vector Machine methods to find out which method is most effective in classifying and predicting. After conducting a literature study by taking articles from 2019 to 2023, 500 articles were obtained that used the Naive Bayes, Decision Tree, Neural Network, Random Forest, Support Vector Machine methods. Because there were so many articles obtained in the initial search, inclusion and exclusion criteria were created to sort out articles that were in accordance with this research. After carrying out the inclusion and exclusion criteria process, 243 articles were obtained and it was discovered that the topic that was discussed more often was prediction, which amounted to 122 articles and the remaining 121 articles discuss classification. In the field of prediction, the method most frequently used is Random Forest with a total of 45 articles and an average accuracy rate of 91.18%, while in the field of classification, the method most frequently used is Support Vector Machine with a total of 32 articles and an average accuracy of 88.85%.
{"title":"Systematic Literature Review: Perbandingan Algoritma Klasifikasi","authors":"Prayugo Pangestu, Rice Novita, M. Mustakim","doi":"10.35314/isi.v8i2.3698","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3698","url":null,"abstract":"– Over time, many data mining methods have been created and suggested to help in making decisions. Due to limited resources, this article only provides a systematic literature review in comparing the performance of the Naïve Bayes, Decision Tree, Nerral Network, Random Forest, and Support Vector Machine methods to find out which method is most effective in classifying and predicting. After conducting a literature study by taking articles from 2019 to 2023, 500 articles were obtained that used the Naive Bayes, Decision Tree, Neural Network, Random Forest, Support Vector Machine methods. Because there were so many articles obtained in the initial search, inclusion and exclusion criteria were created to sort out articles that were in accordance with this research. After carrying out the inclusion and exclusion criteria process, 243 articles were obtained and it was discovered that the topic that was discussed more often was prediction, which amounted to 122 articles and the remaining 121 articles discuss classification. In the field of prediction, the method most frequently used is Random Forest with a total of 45 articles and an average accuracy rate of 91.18%, while in the field of classification, the method most frequently used is Support Vector Machine with a total of 32 articles and an average accuracy of 88.85%.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"16 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262547","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}
- The capacity to think broadly by applying analysis and assessment techniques is known as critical thinking. It's crucial to teach students to think critically in order to solve problems. The fundamental programming algorithm is one of the topics that may be utilized to train critical thinking abilities. This work seeks to produce an augmented reality (AR) that will be utilized to enhance critical thinking abilities in programming learning areas. The AR will be based on the interaktif media.This study uses a research and development (R&D) approach which consists of four stages: definition, design, development, and evaluation. The parameters assessed include usefulness, ease of use, and ease of learning as the independent variables and satisfaction as the dependent variable. Based on the analysis results show that all variables have a positive correlation value with a significance value of less than 0.05 (p-value = 0.000), the variables that partially affect satisfaction are usefulness (0.002), ease of use (0.001), and ease of learning (0.001). Thus it can be concluded that the developed AR-based interactive media is usable as a medium for practicing critical thinking skills.
- 运用分析和评估技术进行广泛思考的能力被称为批判性思维。教会学生批判性思维以解决问题至关重要。基本编程算法是可以用来训练批判性思维能力的课题之一。本作品旨在制作一种增强现实（AR），用于提高编程学习领域的批判性思维能力。该 AR 将基于 interaktif 媒体。本研究采用研究与开发（R&D）方法，包括四个阶段：定义、设计、开发和评估。评估参数包括作为自变量的有用性、易用性和易学性，以及作为因变量的满意度。分析结果表明，所有变量均呈正相关，显著值小于 0.05（P 值 = 0.000），部分影响满意度的变量为有用性（0.002）、易用性（0.001）和易学性（0.001）。因此可以得出结论，所开发的基于 AR 的互动媒体可作为练习批判性思维能力的媒介。
{"title":"Pengembangan Media Interaktif Berbasis Augmented Reality untuk Melatih Kemampuan Critical Thinking","authors":"A. Nugroho, S. Sukirman","doi":"10.35314/isi.v8i2.3495","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3495","url":null,"abstract":"- The capacity to think broadly by applying analysis and assessment techniques is known as critical thinking. It's crucial to teach students to think critically in order to solve problems. The fundamental programming algorithm is one of the topics that may be utilized to train critical thinking abilities. This work seeks to produce an augmented reality (AR) that will be utilized to enhance critical thinking abilities in programming learning areas. The AR will be based on the interaktif media.This study uses a research and development (R&D) approach which consists of four stages: definition, design, development, and evaluation. The parameters assessed include usefulness, ease of use, and ease of learning as the independent variables and satisfaction as the dependent variable. Based on the analysis results show that all variables have a positive correlation value with a significance value of less than 0.05 (p-value = 0.000), the variables that partially affect satisfaction are usefulness (0.002), ease of use (0.001), and ease of learning (0.001). Thus it can be concluded that the developed AR-based interactive media is usable as a medium for practicing critical thinking skills.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262568","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}
Abstrack - Cidodol Market is a traditional market located in Kebayoran Lama District, South Jakarta, which provides a variety of food needs for the surrounding community. The current business process or buying and selling activities at Cidodol Market are still traditional, namely by the way traders and prospective buyers meet directly. This certainly makes it difficult for prospective buyers, especially mothers who do not have time to buy food directly at the market due to other busyness and this of course also has an impact on traders, related to the breadth and reach of the market because buying and selling activities only occur directly. The use of the Rapid Application Development (RAD) method can facilitate application development through the stages of Requirement planning, design, construction, and implementation so that the stages of application development are clear. In connection with these problems, the development of marketplace applications in the Cidodol market is carried out with the aim of making it easier for prospective buyers to search and buy food online without having to come directly to the market and also facilitating traders in the Cidodol market to promote and sell food needs online.
{"title":"Penerapan Model Rapid Application Development pada Aplikasi Marketplace Kebutuhan Bahan Pangan Dengan ReactJS","authors":"Rifat Sulthon, Sawali Wahyu","doi":"10.35314/isi.v8i2.3421","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3421","url":null,"abstract":"Abstrack - Cidodol Market is a traditional market located in Kebayoran Lama District, South Jakarta, which provides a variety of food needs for the surrounding community. The current business process or buying and selling activities at Cidodol Market are still traditional, namely by the way traders and prospective buyers meet directly. This certainly makes it difficult for prospective buyers, especially mothers who do not have time to buy food directly at the market due to other busyness and this of course also has an impact on traders, related to the breadth and reach of the market because buying and selling activities only occur directly. The use of the Rapid Application Development (RAD) method can facilitate application development through the stages of Requirement planning, design, construction, and implementation so that the stages of application development are clear. In connection with these problems, the development of marketplace applications in the Cidodol market is carried out with the aim of making it easier for prospective buyers to search and buy food online without having to come directly to the market and also facilitating traders in the Cidodol market to promote and sell food needs online.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"32 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265616","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}
{"title":"Analisis Sentimen Ulasan Aplikasi Tripadvisor Dengan Metode Support Vector Machine, K-Nearest Neighbor, Dan Naive Bayes","authors":"Antonius Mbay Ndapamuri, D. Manongga, Ade Iriani","doi":"10.35314/isi.v8i1.3260","DOIUrl":"https://doi.org/10.35314/isi.v8i1.3260","url":null,"abstract":".","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665163","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}
Akhmad Hendriawan, Muhammad Iqbal Millyniawan Pradana, Ronny Susetyoko
Abstrack - Accident cases in Indonesia are increasing along with the increase in the number of motorized vehicles. From 2016 to 2017, speed limit violations increased by 96.20% and violations of road markings or signs also increased by 5.54%. Intelligent transportation system is one solution to reduce the number of accidents. Currently Driver Assistance Systems (DAS) are being developed in the automotive world. The purpose of this research is to design a watershed based on three input parameters for determining recommended actions, namely: 1) distance to the vehicle behind; 2) vehicle speed; and 3) traffic light status with recommendation action using fuzzy rule base. Lidar sensor for distance detection and GPS for monitoring vehicle speed. The YOLOv4 Algorithm method is used to detect traffic lights. The results of this study, the accuracy of sign color recognition is 92.831% with a detection speed of up to 8.94 FPS. The most stable reading distance is between 1 – 8-meters with a light intensity of 10 – 3200 lux and a tilt angle of up to 90 degrees. There is a drop in processing speed of up to 1.5 FPS during system integration. This DAS is effective enough to be applied to two-wheeled and four-wheeled motorized vehicles.
{"title":"Sistem Deteksi Lampu Lalu Lintas Sebagai Asisten Pengemudi Menggunakan Convolutional Neural Network","authors":"Akhmad Hendriawan, Muhammad Iqbal Millyniawan Pradana, Ronny Susetyoko","doi":"10.35314/isi.v8i1.3155","DOIUrl":"https://doi.org/10.35314/isi.v8i1.3155","url":null,"abstract":"Abstrack - Accident cases in Indonesia are increasing along with the increase in the number of motorized vehicles. From 2016 to 2017, speed limit violations increased by 96.20% and violations of road markings or signs also increased by 5.54%. Intelligent transportation system is one solution to reduce the number of accidents. Currently Driver Assistance Systems (DAS) are being developed in the automotive world. The purpose of this research is to design a watershed based on three input parameters for determining recommended actions, namely: 1) distance to the vehicle behind; 2) vehicle speed; and 3) traffic light status with recommendation action using fuzzy rule base. Lidar sensor for distance detection and GPS for monitoring vehicle speed. The YOLOv4 Algorithm method is used to detect traffic lights. The results of this study, the accuracy of sign color recognition is 92.831% with a detection speed of up to 8.94 FPS. The most stable reading distance is between 1 – 8-meters with a light intensity of 10 – 3200 lux and a tilt angle of up to 90 degrees. There is a drop in processing speed of up to 1.5 FPS during system integration. This DAS is effective enough to be applied to two-wheeled and four-wheeled motorized vehicles.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011135","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}
Abstrack – SLIM at the library of Hang Tuah University Pekanbaru was built since 2014 and began to be implemented in the library since 2018 and has been running for 5 years, during its application there are several collections of books that are still incomplete, this results in students preferring books manually. In addition, there are still many users who do not understand using SLIMS by users fully. This study aims to measure the level of satisfaction of SLIMS users and offer recommendations for system improvement, the method used in this study is End User Computing Satisfication (EUCS) which has 5 variables in the method. The data obtained from this study was distributing questionnaires with a sample of 100 respondents. Data processing is carried out with the SEM-PLS technique and using the help of the SMART-PLS 4 system. The results of the analysis obtained at the level of user satisfaction with a value of 53.8%, This shows that users are happy with the usefulness of SLIMS and offers 4 recommendations for improvements to SLMS can be improved to function more effectively.
摘要-北干巴鲁航大图书馆的SLIM自2014年建成，自2018年开始在图书馆实施，已经运行了5年，在其应用过程中，有几本藏书仍然不完整，这导致学生更喜欢手工书籍。此外，还有很多用户并不完全理解用户使用SLIMS。本研究旨在衡量SLIMS用户的满意度水平，并为系统改进提供建议，本研究使用的方法是终端用户计算满意度(End User Computing satisfaction, EUCS)，该方法有5个变量。从这项研究中获得的数据是分发问卷，其中有100名受访者。数据处理采用SEM-PLS技术，并借助于SMART-PLS 4系统。分析结果显示，用户满意度水平为53.8%，这表明用户对SLMS的有用性感到满意，并提出了4条建议，以改进SLMS，使其更有效地发挥作用。
{"title":"Analisis Tingkat Kepuasan Pengguna Aplikasi Slims Menggunakan End User Computing Satisfaction Method","authors":"Yusril Can, Fitriani Muttakin, Anofrizen Anofrizen, Nurmaini Dalimunthe","doi":"10.35314/isi.v8i1.3158","DOIUrl":"https://doi.org/10.35314/isi.v8i1.3158","url":null,"abstract":"Abstrack – SLIM at the library of Hang Tuah University Pekanbaru was built since 2014 and began to be implemented in the library since 2018 and has been running for 5 years, during its application there are several collections of books that are still incomplete, this results in students preferring books manually. In addition, there are still many users who do not understand using SLIMS by users fully. This study aims to measure the level of satisfaction of SLIMS users and offer recommendations for system improvement, the method used in this study is End User Computing Satisfication (EUCS) which has 5 variables in the method. The data obtained from this study was distributing questionnaires with a sample of 100 respondents. Data processing is carried out with the SEM-PLS technique and using the help of the SMART-PLS 4 system. The results of the analysis obtained at the level of user satisfaction with a value of 53.8%, This shows that users are happy with the usefulness of SLIMS and offers 4 recommendations for improvements to SLMS can be improved to function more effectively.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124515413","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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