Pub Date : 2022-11-29DOI: 10.54895/intech.v3i2.1718
M. R
Dental and oral health are important to consider and are an integral part of overall health that requires immediate treatment before it's too late and can affect one's Kesehatan gigi dan mulut penting untuk diperhatikan dan merupakan bagian integral dari kesehatan secara keseluruhan yang memerlukan penanganan segera sebelum terlambat dan dapat mempengaruhi kondisi kesehatan seseorang. Minimnya pengetahuan serta terbatasnya sumber informasi mengenai kesehatan gigi dan mulut menyebabkan kesadaran masyarakat untuk menjaga kesehatan gigi dan mulut masih rendah. Salah satu kendala yang dialami pasien penyakit gigi yaitu sulitnya mengambil keputusan dalam hal pencabutan gigi. Oleh karena itu pada penelitian ini dibangun suatu sistem pakar yang dapat mendiagnosa keputusan dalam pencabutan gigi berdasarkan pengetahuan yang diperoleh dari pakar langsung. Sistem pakar ini berbasis web dan dibangun menggunakan bahasa pemrograman Php dan database Mysql. Metode inferensi yang digunakan adalah metode Naïve Bayes. Metode ini dapat mendiagnosa keputusan pencabutan gigi menyesuaikan fakta yang dialami dan aturan yang telah dibuat. Setelah gejala didapatkan maka sistem pakar akan menampilkan hasil keputusan. Sistem pakar ini terdiri dari 11 gejala, 26 Atribut, dan 2 hasil keputusan yaitu cabut dan tidak cabut. Hasil dari penelitian ini adalah: (1) pengujian fungsional menggunakan metode black box memperoleh hasil sesuai harapan, (2) sistem melalui pengujian kepakaran dan memperoleh hasil rata-rata sebesar 86,66% (sangat baik). Berdasarkan nilai akurasi tersebut maka dapat disimpulkan bahwa sistem dapat mendiagnosa keputusan pencabutan gigi dengan baik. health condition. The lack of knowledge and the limited sources of information on oral health have caused public awareness to maintain oral health is still low. One obstacle experienced by dental disease patients is the difficulty of making decisions in terms of tooth extraction. Therefore in this study an expert system was built that could diagnose the decision on tooth extraction based on knowledge obtained from the expert directly. This expert system is web-based and was built using the Php and Mysql database programming languages. The inference method used is the Naïve Bayes method. This method can diagnose tooth extraction decisions according to the facts experienced and the rules that have been made. After symptoms are obtained, the expert system will display the results of the decision. This expert system consists of 11 symptoms, 26 attributes, and 2 decision results, namely unplug and unplug. The results of this study are: (1) functional testing using the black box method with the Equivalence Partitioning (EP) technique obtaining the expected results, (2) the system through expertise testing and obtaining an average result of 86.66% (very good). Based on the accuracy value, it can be concluded that the system can diagnose the tooth extraction decision well.
牙科和口腔健康是重要的认为是不可分割的一部分的工作服health that requires即时治疗是太晚之前和一号可以影响牙齿和口腔卫生的注意,是至关重要的组成部分,整体的健康状况需要立即处理,否则就太晚了,可以影响一个人的健康状况。缺乏有关牙齿和口腔健康的知识和资源的有限，使公众意识保持牙齿和口腔健康。拔牙病人面临的挑战之一是很难做出拔牙的决定。因此，在这项研究中建立了一个专家系统，可以根据专家直接获得的知识来诊断拔牙的决定。该系统是基于web的，使用Php编程语言和Mysql数据库构建。推断方法是天真的贝斯方法。这种方法可以诊断拔牙的决定是否符合所经历的事实和所制定的规则。一旦出现症状，专家系统就会给出结果。该专家系统由11个症状、26个属性和2个决策结果组成，即拔掉插头和不拔掉插头。这项研究的结果是:(1)使用黑盒方法进行功能测试，获得预期的结果;(2)通过认证测试系统，平均成绩为86.66%(非常好)。根据准确性的价值，可以得出结论，系统可以很好地诊断拔牙的决定。卫生条件。口腔卫生的知识和有限的信息来源使公众意识保持低。牙痛患者所做的一个令人不安的实验是很难做出牙齿撤离的决定的。在这项研究的系统中，可以诊断牙齿提取的决定是基于专家直接从专家那里获得的知识。这个研究系统是基于web的，它正在使用Php和Mysql语言编程数据库构建。地狱的方法是天真的方法。这一方法可以诊断出牙齿的提取决定，以适应已经经历的事实和已经制定的规则。独立后，审查制度将展示决策的结果。这位专家是11个交响乐团、26个亚铁、2个可降解、namely未插入和终止。这项研究的结果:(1)利用《环境安全手册》的黑盒方法进行测试(EP)技术排除了预期的结果，(2)系统排除了86.66%(非常好)的平均结果。基于准确值，系统可以很好地诊断出牙齿的撤离决定。
{"title":"SISTEM PAKAR DIAGNOSA PENCABUTAN GIGI MENGGUNAKAN METODE NAÏVE BAYES PADA RUMAH SAKIT PERMATA BEKASI","authors":"M. R","doi":"10.54895/intech.v3i2.1718","DOIUrl":"https://doi.org/10.54895/intech.v3i2.1718","url":null,"abstract":"Dental and oral health are important to consider and are an integral part of overall health that requires immediate treatment before it's too late and can affect one's Kesehatan gigi dan mulut penting untuk diperhatikan dan merupakan bagian integral dari kesehatan secara keseluruhan yang memerlukan penanganan segera sebelum terlambat dan dapat mempengaruhi kondisi kesehatan seseorang. Minimnya pengetahuan serta terbatasnya sumber informasi mengenai kesehatan gigi dan mulut menyebabkan kesadaran masyarakat untuk menjaga kesehatan gigi dan mulut masih rendah. Salah satu kendala yang dialami pasien penyakit gigi yaitu sulitnya mengambil keputusan dalam hal pencabutan gigi. Oleh karena itu pada penelitian ini dibangun suatu sistem pakar yang dapat mendiagnosa keputusan dalam pencabutan gigi berdasarkan pengetahuan yang diperoleh dari pakar langsung. Sistem pakar ini berbasis web dan dibangun menggunakan bahasa pemrograman Php dan database Mysql. Metode inferensi yang digunakan adalah metode Naïve Bayes. Metode ini dapat mendiagnosa keputusan pencabutan gigi menyesuaikan fakta yang dialami dan aturan yang telah dibuat. Setelah gejala didapatkan maka sistem pakar akan menampilkan hasil keputusan. Sistem pakar ini terdiri dari 11 gejala, 26 Atribut, dan 2 hasil keputusan yaitu cabut dan tidak cabut. Hasil dari penelitian ini adalah: (1) pengujian fungsional menggunakan metode black box memperoleh hasil sesuai harapan, (2) sistem melalui pengujian kepakaran dan memperoleh hasil rata-rata sebesar 86,66% (sangat baik). Berdasarkan nilai akurasi tersebut maka dapat disimpulkan bahwa sistem dapat mendiagnosa keputusan pencabutan gigi dengan baik. \u0000health condition. The lack of knowledge and the limited sources of information on oral health have caused public awareness to maintain oral health is still low. One obstacle experienced by dental disease patients is the difficulty of making decisions in terms of tooth extraction. Therefore in this study an expert system was built that could diagnose the decision on tooth extraction based on knowledge obtained from the expert directly. This expert system is web-based and was built using the Php and Mysql database programming languages. The inference method used is the Naïve Bayes method. This method can diagnose tooth extraction decisions according to the facts experienced and the rules that have been made. After symptoms are obtained, the expert system will display the results of the decision. This expert system consists of 11 symptoms, 26 attributes, and 2 decision results, namely unplug and unplug. The results of this study are: (1) functional testing using the black box method with the Equivalence Partitioning (EP) technique obtaining the expected results, (2) the system through expertise testing and obtaining an average result of 86.66% (very good). Based on the accuracy value, it can be concluded that the system can diagnose the tooth extraction decision well.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75394508","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 : 2022-11-29DOI: 10.54895/intech.v3i2.1509
MUH. Ahsan
A computer network is a network telecommunication that connects one or more computers to exchange data and information with each other. Such huge benefit will certainly be reduced by the presence of interference that arises in the network, when the network only involves local devices or in other words, is not connected to the internet network then interference may be less calculated. However, when the local network is connected to the internet network, a security system will be something that must be considered. Every system and network will undoubtedly have vulnerabilities and can cause damage to the system and even data to cause losses. Tracing activities and identifying system vulnerabilities are effective ways to minimize the risk of continuous vulnerability, therefore this study aims to conduct network analysis to determine vulnerabilities system by applying the open vulnerability assessment system method using Greenbone Vulnerability Management (GVM) as a platform of network scanning and vulnerability management system. The results are achieved by doing the vulnerability analysis to evaluate the results of vulnerability findings and then categorized according to the level of risk, namely high, medium and low. Conducting a vulnerability assessment will improve information security and avoid bad risks that can cause losses. The results achieved doing the vulnerability assessment activity are to provide an evaluation of the risk of vulnerability found and the impact that can be generated and as a preventive measure to increase security system awareness.
{"title":"Analisa Kerentanan Sistem Dengan Menerapkan Open Vulnerability Assessment System Menggunakan Greenbone Vulnerability Management (GVM)","authors":"MUH. Ahsan","doi":"10.54895/intech.v3i2.1509","DOIUrl":"https://doi.org/10.54895/intech.v3i2.1509","url":null,"abstract":"A computer network is a network telecommunication that connects one or more computers to exchange data and information with each other. Such huge benefit will certainly be reduced by the presence of interference that arises in the network, when the network only involves local devices or in other words, is not connected to the internet network then interference may be less calculated. However, when the local network is connected to the internet network, a security system will be something that must be considered. Every system and network will undoubtedly have vulnerabilities and can cause damage to the system and even data to cause losses. Tracing activities and identifying system vulnerabilities are effective ways to minimize the risk of continuous vulnerability, therefore this study aims to conduct network analysis to determine vulnerabilities system by applying the open vulnerability assessment system method using Greenbone Vulnerability Management (GVM) as a platform of network scanning and vulnerability management system. The results are achieved by doing the vulnerability analysis to evaluate the results of vulnerability findings and then categorized according to the level of risk, namely high, medium and low. Conducting a vulnerability assessment will improve information security and avoid bad risks that can cause losses. The results achieved doing the vulnerability assessment activity are to provide an evaluation of the risk of vulnerability found and the impact that can be generated and as a preventive measure to increase security system awareness.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89111095","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 : 2022-11-29DOI: 10.54895/intech.v3i2.1713
Abdul Rahman, Destiarini Destiarini
Program Studi Informatika mengusung Visi Menjadikan Program Studi unggulan dalam pengembangan iptek di bidang ilmu komputer/ informatika yang memiliki kemampuan kreatif dan inovatif dan mengembangkan potensi lokal pada tataran nasional demi peningkatan martabat manusia serta pengemabangan jenjang pendidikan yang lebih tinggi pada tahun 2030. Untuk menyebarluaskan visi program studi infotmatika perlu dibuat sebuah Web Company Profile dalam mempermudah hal tersebut. Selain menyebarluaskan visi dan misi program studi informatika juga sebagai identitas program studi agar terlihat modern. Untuk menyelesaikan penelitian ini pengembangan sistem menggunakan metode Rapid Application Development (RAD). Dan hasil penerimaan sistem ini adalah 93% dengan mengunakan metode User Acceptance Testing (UAT).
{"title":"User Acceptance Testing Company Profile Informatika Universitas Baturaja Berbasis Website dengan Animate 2022","authors":"Abdul Rahman, Destiarini Destiarini","doi":"10.54895/intech.v3i2.1713","DOIUrl":"https://doi.org/10.54895/intech.v3i2.1713","url":null,"abstract":"Program Studi Informatika mengusung Visi Menjadikan Program Studi unggulan dalam pengembangan iptek di bidang ilmu komputer/ informatika yang memiliki kemampuan kreatif dan inovatif dan mengembangkan potensi lokal pada tataran nasional demi peningkatan martabat manusia serta pengemabangan jenjang pendidikan yang lebih tinggi pada tahun 2030. Untuk menyebarluaskan visi program studi infotmatika perlu dibuat sebuah Web Company Profile dalam mempermudah hal tersebut. Selain menyebarluaskan visi dan misi program studi informatika juga sebagai identitas program studi agar terlihat modern. Untuk menyelesaikan penelitian ini pengembangan sistem menggunakan metode Rapid Application Development (RAD). Dan hasil penerimaan sistem ini adalah 93% dengan mengunakan metode User Acceptance Testing (UAT).","PeriodicalId":13714,"journal":{"name":"Intech","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78550524","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 : 2022-06-10DOI: 10.48550/arXiv.2206.08932
C. Stevenson, I. Smal, M. Baas, R. Grasman, H. Maas
AI large language models have (co-)produced amazing written works from newspaper articles to novels and poetry. These works meet the standards of the standard definition of creativity: being original and useful, and sometimes even the additional element of surprise. But can a large language model designed to predict the next text fragment provide creative, out-of-the-box, responses that still solve the problem at hand? We put Open AI’s generative natural language model, GPT-3, to the test. Can it provide creative solutions to one of the most commonly used tests in creativity research? We assessed GPT-3’s creativity on Guilford’s Alternative Uses Test (AUT) and compared its performance to previously collected human responses on expert ratings of originality, usefulness and surprise of responses, flexibility of each set of ideas as well as an automated method to measure creativity based on the semantic distance between a response and the AUT object in question. Our results show that -on the whole- humans currently outperform GPT-3 when it comes to creative output. But, we believe it is only a matter of time before GPT-3 catches up on this particular task. We discuss what this work reveals about human and AI creativity, creativity testing and our definition of creativity.
{"title":"Putting GPT-3's Creativity to the (Alternative Uses) Test","authors":"C. Stevenson, I. Smal, M. Baas, R. Grasman, H. Maas","doi":"10.48550/arXiv.2206.08932","DOIUrl":"https://doi.org/10.48550/arXiv.2206.08932","url":null,"abstract":"AI large language models have (co-)produced amazing written works from newspaper articles to novels and poetry. These works meet the standards of the standard definition of creativity: being original and useful, and sometimes even the additional element of surprise. But can a large language model designed to predict the next text fragment provide creative, out-of-the-box, responses that still solve the problem at hand? We put Open AI’s generative natural language model, GPT-3, to the test. Can it provide creative solutions to one of the most commonly used tests in creativity research? We assessed GPT-3’s creativity on Guilford’s Alternative Uses Test (AUT) and compared its performance to previously collected human responses on expert ratings of originality, usefulness and surprise of responses, flexibility of each set of ideas as well as an automated method to measure creativity based on the semantic distance between a response and the AUT object in question. Our results show that -on the whole- humans currently outperform GPT-3 when it comes to creative output. But, we believe it is only a matter of time before GPT-3 catches up on this particular task. We discuss what this work reveals about human and AI creativity, creativity testing and our definition of creativity.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"115 1","pages":"164-168"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80569740","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 : 2022-06-01DOI: 10.48550/arXiv.2206.00485
Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein
Recent breakthroughs in AI-generated music open the door for new forms for co-creation and co-creativity. We present Artificial.fm, a proof-of-concept casual creator that blends AI-music generation, subjective ratings, and personalized recommendation for the creation and curation of AI-generated music. Listeners can rate emergent songs to steer the evolution of future music. They can also personalize their preferences to better navigate the possibility space. As a"slow creator"with many human stakeholders, Artificial.fm is an example of how casual creators can leverage human curation at scale to collectively navigate a possibility space. It also provides a case study to reflect on how ownership should be considered in these contexts. We report on the design and development of Artificial.fm, and provide a legal analysis on the ownership of artifacts generated on the platform.
{"title":"Co-creation and ownership for AI radio","authors":"Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein","doi":"10.48550/arXiv.2206.00485","DOIUrl":"https://doi.org/10.48550/arXiv.2206.00485","url":null,"abstract":"Recent breakthroughs in AI-generated music open the door for new forms for co-creation and co-creativity. We present Artificial.fm, a proof-of-concept casual creator that blends AI-music generation, subjective ratings, and personalized recommendation for the creation and curation of AI-generated music. Listeners can rate emergent songs to steer the evolution of future music. They can also personalize their preferences to better navigate the possibility space. As a\"slow creator\"with many human stakeholders, Artificial.fm is an example of how casual creators can leverage human curation at scale to collectively navigate a possibility space. It also provides a case study to reflect on how ownership should be considered in these contexts. We report on the design and development of Artificial.fm, and provide a legal analysis on the ownership of artifacts generated on the platform.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"4 1","pages":"241-245"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77479154","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 : 2022-06-01DOI: 10.48550/arXiv.2206.00533
Ziv Epstein, Hope Schroeder, Dava Newman
Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilities of these models to help communities engage in conversations about their collective future. In particular, we design and deploy a facilitated experience where participants collaboratively speculate on utopias they want to see, and then produce AI-generated imagery from those speculations. In a series of in-depth user interviews, we invite participants to reflect on the generated images and refine their visions for the future. We synthesize findings with a bespoke community zine on the experience. We observe that participants often generated ideas for implementing their vision and drew new lateral considerations as a result of viewing the generated images. Critically, we find that the unexpected difference between the participant's imagined output and the generated image is what facilitated new insight for the participant. We hope our experimental model for co-creation, computational creativity, and community reflection inspires the use of generative models to help communities and organizations envision better futures.
{"title":"When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI","authors":"Ziv Epstein, Hope Schroeder, Dava Newman","doi":"10.48550/arXiv.2206.00533","DOIUrl":"https://doi.org/10.48550/arXiv.2206.00533","url":null,"abstract":"Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilities of these models to help communities engage in conversations about their collective future. In particular, we design and deploy a facilitated experience where participants collaboratively speculate on utopias they want to see, and then produce AI-generated imagery from those speculations. In a series of in-depth user interviews, we invite participants to reflect on the generated images and refine their visions for the future. We synthesize findings with a bespoke community zine on the experience. We observe that participants often generated ideas for implementing their vision and drew new lateral considerations as a result of viewing the generated images. Critically, we find that the unexpected difference between the participant's imagined output and the generated image is what facilitated new insight for the participant. We hope our experimental model for co-creation, computational creativity, and community reflection inspires the use of generative models to help communities and organizations envision better futures.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"8 1","pages":"334-338"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90071305","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 : 2022-05-28DOI: 10.54895/intech.v3i1.1377
Destiarini Destiarini
Pejalan kaki merupakan bagian dari sistem transportasi yang tidak kalah pentingnya dibandingkan moda transportasi lainnya. Walaupun tindakan berjalan kaki terlihat sangat sederhana, akan tetapi memainkan peranan penting dalam sistem transportasi, karena jika pejalan kaki mengalami gangguan akan mempengaruhi bagian lain dari sistem transportasi. Tujuan penelitian ini adalah untuk mengetahui fungsi Programmable Logic Controllers (PLC) dalam pemrogaman cx-program, selain untuk membuat rambu penyeberangan jalan. Fasilitas penyeberangan pelican dengan pelindung direkomendasikan dengan menggunakan pulau pelindung dengan dilengkapi lampu isyarat mengingat jalan Jendral A.Yani Tanjung Baru adalah jalan satu arah dengan empat lajur.
{"title":"Perancangan Lampu Penyeberangan Jalan Menggunakan Programmable Logic Controllers (PLC) Yang Dihubungkan Dengan Cx-Program","authors":"Destiarini Destiarini","doi":"10.54895/intech.v3i1.1377","DOIUrl":"https://doi.org/10.54895/intech.v3i1.1377","url":null,"abstract":"Pejalan kaki merupakan bagian dari sistem transportasi yang tidak kalah pentingnya dibandingkan moda transportasi lainnya. Walaupun tindakan berjalan kaki terlihat sangat sederhana, akan tetapi memainkan peranan penting dalam sistem transportasi, karena jika pejalan kaki mengalami gangguan akan mempengaruhi bagian lain dari sistem transportasi. Tujuan penelitian ini adalah untuk mengetahui fungsi Programmable Logic Controllers (PLC) dalam pemrogaman cx-program, selain untuk membuat rambu penyeberangan jalan. Fasilitas penyeberangan pelican dengan pelindung direkomendasikan dengan menggunakan pulau pelindung dengan dilengkapi lampu isyarat mengingat jalan Jendral A.Yani Tanjung Baru adalah jalan satu arah dengan empat lajur.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86117823","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 : 2022-05-26DOI: 10.54895/intech.v3i1.1376
Abdul Rahman, Pujianto Pujianto
There is a diversity of academic abilities of students in each Indonesian educational institution, each student has different learning abilities according to the level of learning. Educators in providing learning level predictions are done manually, so it takes a long time in predicting student learning levels. In this study, it was able to predict students' academic abilities in an easy and fast way. The method used in predicting learning levels is Case Based Reasoning. This method is able to predict the student's learning level to be (1) Very Bad, (2) Bad, (3) Medium, (4) Good, and (5) Very Good. This level of learning will be used as a benchmark for educators to provide appropriate values to students. The results of this study for the academic performance of the very poor category are 0 students, the bad category is 3 students, the medium category is 79 students, the good category is 16 students and the excellent category is 12 students. The accuracy of academic performance recommendations using confusion matrix is 91.82%.
{"title":"Learning Level Prediction System Based on Student Academic Ability By Looking at the Highest Similarity Value","authors":"Abdul Rahman, Pujianto Pujianto","doi":"10.54895/intech.v3i1.1376","DOIUrl":"https://doi.org/10.54895/intech.v3i1.1376","url":null,"abstract":"There is a diversity of academic abilities of students in each Indonesian educational institution, each student has different learning abilities according to the level of learning. Educators in providing learning level predictions are done manually, so it takes a long time in predicting student learning levels. In this study, it was able to predict students' academic abilities in an easy and fast way. The method used in predicting learning levels is Case Based Reasoning. This method is able to predict the student's learning level to be (1) Very Bad, (2) Bad, (3) Medium, (4) Good, and (5) Very Good. This level of learning will be used as a benchmark for educators to provide appropriate values to students. The results of this study for the academic performance of the very poor category are 0 students, the bad category is 3 students, the medium category is 79 students, the good category is 16 students and the excellent category is 12 students. The accuracy of academic performance recommendations using confusion matrix is 91.82%.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84370894","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 : 2022-05-06DOI: 10.48550/arXiv.2205.03146
Piotr Wojciech Mirowski, D. Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
The unabated mystique of large-scale neural networks, such as the CLIP dual image-and-text encoder, popularized automatically generated art. Increasingly more sophisticated generators enhanced the artworks' realism and visual appearance, and creative prompt engineering enabled stylistic expression. Guided by an artist-in-the-loop ideal, we design a gradient-based generator to produce collages. It requires the human artist to curate libraries of image patches and to describe (with prompts) the whole image composition, with the option to manually adjust the patches' positions during generation, thereby allowing humans to reclaim some control of the process and achieve greater creative freedom. We explore the aesthetic potentials of high-resolution collages, and provide an open-source Google Colab as an artistic tool.
{"title":"CLIP-CLOP: CLIP-Guided Collage and Photomontage","authors":"Piotr Wojciech Mirowski, D. Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando","doi":"10.48550/arXiv.2205.03146","DOIUrl":"https://doi.org/10.48550/arXiv.2205.03146","url":null,"abstract":"The unabated mystique of large-scale neural networks, such as the CLIP dual image-and-text encoder, popularized automatically generated art. Increasingly more sophisticated generators enhanced the artworks' realism and visual appearance, and creative prompt engineering enabled stylistic expression. Guided by an artist-in-the-loop ideal, we design a gradient-based generator to produce collages. It requires the human artist to curate libraries of image patches and to describe (with prompts) the whole image composition, with the option to manually adjust the patches' positions during generation, thereby allowing humans to reclaim some control of the process and achieve greater creative freedom. We explore the aesthetic potentials of high-resolution collages, and provide an open-source Google Colab as an artistic tool.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"70 1","pages":"190-194"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89337231","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 : 2022-05-03DOI: 10.48550/arXiv.2205.01605
Aaron Hertzmann
This paper proposes a framework for computational modeling of artistic painting algorithms, inspired by human creative practices. Based on examples from expert artists and from the author’s own experience, the paper argues that creative processes often involve two impor- tant components: vague, high-level goals (e.g., “make a good painting”), and exploratory processes for discov- ering new ideas. This paper then sketches out possible computational mechanisms for imitating those elements of the painting process, including underspecified loss functions and iterative painting procedures with explicit task decompositions.
{"title":"Toward Modeling Creative Processes for Algorithmic Painting","authors":"Aaron Hertzmann","doi":"10.48550/arXiv.2205.01605","DOIUrl":"https://doi.org/10.48550/arXiv.2205.01605","url":null,"abstract":"This paper proposes a framework for computational modeling of artistic painting algorithms, inspired by human creative practices. Based on examples from expert artists and from the author’s own experience, the paper argues that creative processes often involve two impor- tant components: vague, high-level goals (e.g., “make a good painting”), and exploratory processes for discov- ering new ideas. This paper then sketches out possible computational mechanisms for imitating those elements of the painting process, including underspecified loss functions and iterative painting procedures with explicit task decompositions.","PeriodicalId":13714,"journal":{"name":"Intech","volume":"117 1","pages":"180-189"},"PeriodicalIF":0.0,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79523906","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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