AbstrakPerkembangan teknologi yang cepat pada saat ini membuat banyak perubahan proses bisnis hampir semua sektor termasuk pendidikan, sehingga kegiatan yang sebelumnya dilakukan secara manual sekarang bisa dilakukan secara otomatis menggunakan sebuah sistem/teknologi informasi. Salah satu contoh perkembangan teknologi yang saat ini banyak dikembangkan adalah website. Di dalam sektor pendidikan misalnya sekarang banyak instansi pendidikan yang mempunyai sebuah website sebagai pintu gerbang utama yang digunakan untuk berbagai macam kebutuhan. Dengan adanya website untuk memberikan kemudahan, tetapi juga dibutuhkan pengukuran bagaimana kemudahan penggunaan sebuah website, utamanya jika pengguna masih awam khususnya dari bidang bukan IT. Begitu juga dengan program studi Sistem Informasi UNIPMA yang mempunyai sebuah website untuk menyediakan bermacam informasi khususnya kepada mahasiswa. Seiring bertambahnya layanan dan informasi dari website tersebut, maka penulis melakukan penelitian untuk mengukur tingkat kebergunaan dan kemudahan dengan menggunakan metode System Usability Scale (SUS) yang terdiri dari 10 pernyataan untuk responden. Responden diambil dari mahasiswa semester 1 (satu) dengan jumlah 17 mahasiswa yang merupakan mahasiswa baru dan didominasi berasal dari lulusan bukan IT. Hasil pengukuran dari penelitian ini menunjukkan bahwa website prodi Sistem Informasi UNIPMA termasuk ke dalam penilaian sifat (adjective) dengan kategori Good dan penilaian tingkat penerimaan (acceptable) dengan kategori Acceptable.Kata kunci: website, usability, system usability scale Abstract[Usability Website Analysis Of Information Systems Study Program UNIPMA Using The System Usability Scale Method] The rapid development of technology at this time made many changes to business processes in almost all sectors including education, so that activities that were previously carried out manually can now be carried out automatically using a system/information technology. One example of technological developments that are currently being developed is a website. In the education sector, for example, now many educational institutions have a website as the main gate used for various needs. With a website to provide convenience, but it also takes measurements of how easy it is to use a website, especially if users are still new, especially from non-IT fields. Likewise with the UNIPMA Information Systems study program which has a website to provide various information, especially to students. As the services and information from the website increase, the authors conducted a study to measure the level of usability and convenience by using the System Usability Scale (SUS) method which consisted of 10 statements for respondents. Respondents were taken from semester 1 (one) students who were new students and were dominated by non-IT graduates. The measurement results of this study indicate that the UNIPMA Information Systems study program website is included in the assessment of
{"title":"Analisis Usability Website Program Studi Sistem Informasi Unipma Menggunakan Metode System Usability Scale","authors":"Noordin Asnawi, Ridho Pamungkas, Dandy Gandung Prasetyo","doi":"10.21111/fij.v8i1.9408","DOIUrl":"https://doi.org/10.21111/fij.v8i1.9408","url":null,"abstract":"AbstrakPerkembangan teknologi yang cepat pada saat ini membuat banyak perubahan proses bisnis hampir semua sektor termasuk pendidikan, sehingga kegiatan yang sebelumnya dilakukan secara manual sekarang bisa dilakukan secara otomatis menggunakan sebuah sistem/teknologi informasi. Salah satu contoh perkembangan teknologi yang saat ini banyak dikembangkan adalah website. Di dalam sektor pendidikan misalnya sekarang banyak instansi pendidikan yang mempunyai sebuah website sebagai pintu gerbang utama yang digunakan untuk berbagai macam kebutuhan. Dengan adanya website untuk memberikan kemudahan, tetapi juga dibutuhkan pengukuran bagaimana kemudahan penggunaan sebuah website, utamanya jika pengguna masih awam khususnya dari bidang bukan IT. Begitu juga dengan program studi Sistem Informasi UNIPMA yang mempunyai sebuah website untuk menyediakan bermacam informasi khususnya kepada mahasiswa. Seiring bertambahnya layanan dan informasi dari website tersebut, maka penulis melakukan penelitian untuk mengukur tingkat kebergunaan dan kemudahan dengan menggunakan metode System Usability Scale (SUS) yang terdiri dari 10 pernyataan untuk responden. Responden diambil dari mahasiswa semester 1 (satu) dengan jumlah 17 mahasiswa yang merupakan mahasiswa baru dan didominasi berasal dari lulusan bukan IT. Hasil pengukuran dari penelitian ini menunjukkan bahwa website prodi Sistem Informasi UNIPMA termasuk ke dalam penilaian sifat (adjective) dengan kategori Good dan penilaian tingkat penerimaan (acceptable) dengan kategori Acceptable.Kata kunci: website, usability, system usability scale\u0000Abstract[Usability Website Analysis Of Information Systems Study Program UNIPMA Using The System Usability Scale Method] The rapid development of technology at this time made many changes to business processes in almost all sectors including education, so that activities that were previously carried out manually can now be carried out automatically using a system/information technology. One example of technological developments that are currently being developed is a website. In the education sector, for example, now many educational institutions have a website as the main gate used for various needs. With a website to provide convenience, but it also takes measurements of how easy it is to use a website, especially if users are still new, especially from non-IT fields. Likewise with the UNIPMA Information Systems study program which has a website to provide various information, especially to students. As the services and information from the website increase, the authors conducted a study to measure the level of usability and convenience by using the System Usability Scale (SUS) method which consisted of 10 statements for respondents. Respondents were taken from semester 1 (one) students who were new students and were dominated by non-IT graduates. The measurement results of this study indicate that the UNIPMA Information Systems study program website is included in the assessment of ","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49464532","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}
Mutual funds are one of the alternative investments for people who have limited capital, time and financial management because the public funds that have been collected in mutual funds are managed by professional investment managers. For types of mutual funds that have moderate or moderate risk, it is a type of bond mutual fund. One of the places to buy and sell mutual funds online is the Bibit application. In the Bibit application as of April 2022, there are 32 bond mutual fund products. Of the many bond mutual fund products that exist, the public or investors have difficulty in choosing the best bond mutual fund product. Therefore, to choose the best bond mutual fund product, a web-based decision support system is needed using the Simple Additive Weighting (SAW) algorithm. SAW was chosen because it can determine the weight value for each attribute which is then continued with the ranking process in selecting the best alternative. The results of this study are in the form of a web-based decision support system application that is responsive and can provide recommendations for the best bond mutual funds with a ranking system.
{"title":"Sistem Pendukung Keputusan Rekomendasi Reksa Dana Obligasi Menggunakan Metode SAW (Simple Additive Weighting)","authors":"Ghulam Asrofi Buntoro, Indah Puji Astuti, Riki Widiantoro","doi":"10.21111/fij.v7i2.8339","DOIUrl":"https://doi.org/10.21111/fij.v7i2.8339","url":null,"abstract":"Mutual funds are one of the alternative investments for people who have limited capital, time and financial management because the public funds that have been collected in mutual funds are managed by professional investment managers. For types of mutual funds that have moderate or moderate risk, it is a type of bond mutual fund. One of the places to buy and sell mutual funds online is the Bibit application. In the Bibit application as of April 2022, there are 32 bond mutual fund products. Of the many bond mutual fund products that exist, the public or investors have difficulty in choosing the best bond mutual fund product. Therefore, to choose the best bond mutual fund product, a web-based decision support system is needed using the Simple Additive Weighting (SAW) algorithm. SAW was chosen because it can determine the weight value for each attribute which is then continued with the ranking process in selecting the best alternative. The results of this study are in the form of a web-based decision support system application that is responsive and can provide recommendations for the best bond mutual funds with a ranking system.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44937129","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}
This research aims to evaluate the communication system between the ground control system and the Unmanned Aerial Vehicle (UAV) using the Lora communication system based on its Path Loss data. Lora itself is a 433 MHz-based communication system used for very long-distance communication. As we know, today UAV market used a 2.4 GHz-based communication system because it is cheaper than using 433MHz. But, although it is cheaper than 433MHz, a lot of devices used the same frequency like WiFi systems and another wireless electrical components. That condition creates a lot of signal interference so communication between the ground control system and the UAV becomes shorter. 433MHz is not a new technology for a communication system, this frequency is usually used for radio news and long-range data logging. It is rarely used 433 MHz frequency for transmitting a big package of data because 433 MHz frequency has a slow data transfer rate but has a long data transfer distance. From testing, we got an improvement of control range more than twice with Lo-Ra 433 MHz compared to the 2.4 GHz module..
本研究旨在基于Lora通信系统的路径损耗数据，评估地面控制系统与无人机之间的通信系统。Lora本身是一个基于433MHz的通信系统，用于非常长的距离通信。正如我们所知，今天的无人机市场使用了基于2.4 GHz的通信系统，因为它比使用433MHz更便宜。但是，尽管它比433MHz便宜，但许多设备使用相同的频率，如WiFi系统和其他无线电气组件。这种情况会产生大量信号干扰，因此地面控制系统和无人机之间的通信变得更短。433MHz对于通信系统来说并不是一项新技术，该频率通常用于无线电新闻和远程数据记录。很少使用433MHz频率来传输大数据包，因为433MHz频率具有较慢的数据传输速率但具有较长的数据传输距离。通过测试，与2.4 GHz模块相比，Lo Ra 433 MHz模块的控制范围提高了两倍多。。
{"title":"Evaluation of Unmanned Aerial Vehicle (UAV) Control Range System using Lora-Based Communication System using Path Loss","authors":"M. A. Hariyadi, J. Fadila","doi":"10.21111/fij.v7i2.7571","DOIUrl":"https://doi.org/10.21111/fij.v7i2.7571","url":null,"abstract":"This research aims to evaluate the communication system between the ground control system and the Unmanned Aerial Vehicle (UAV) using the Lora communication system based on its Path Loss data. Lora itself is a 433 MHz-based communication system used for very long-distance communication. As we know, today UAV market used a 2.4 GHz-based communication system because it is cheaper than using 433MHz. But, although it is cheaper than 433MHz, a lot of devices used the same frequency like WiFi systems and another wireless electrical components. That condition creates a lot of signal interference so communication between the ground control system and the UAV becomes shorter. 433MHz is not a new technology for a communication system, this frequency is usually used for radio news and long-range data logging. It is rarely used 433 MHz frequency for transmitting a big package of data because 433 MHz frequency has a slow data transfer rate but has a long data transfer distance. From testing, we got an improvement of control range more than twice with Lo-Ra 433 MHz compared to the 2.4 GHz module..","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45758043","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}
Aziz Musthafa, Tri Harmini, A. Setiawan, Nur Aini Shofiya Asy’ari
[Analysis Of News Sentiment And Public Opinion On Omicron Virus In Indonesia Using The Naïve Bayes Method] The Covid-19 virus continues to mutate to form new variants. The last detected variant, the Omicron variant, is known as the B.1.1.529 variant. This variant was first reported from South Africa on 24 November 2021 and has now spread worldwide. In July 2022 Omicron cases experienced a spike. This has led to a lot of public opinion, especially on social media, about the omicron virus. This study aims to classify public opinion on the emergence of the Omicron virus on Twitter and YouTube social media into positive, negative and neutral classes. The method used in this study is the naïve Bayes algorithm. Naïve Bayes is a method that can be used to classify public opinion sentiment. The results of sentiment analysis research using naïve Bayes produce an accuracy rate of 0.82%. Then the model was tested to read public opinion on Twitter from 5 October 2022 to 27 October 2022. The results for Twitter user sentiment on the keyword Covid 19 were dominated by positive sentiment with a percentage of 85%. And sentiment with the keyword Omicron is still dominated by positive sentiment with a percentage of 49%. It was stated that the results of the classification on data for October 2022 meant that people were much more optimistic about the disappearance of the Omicron virus. Henceforth this research can be improved by adding data or using a different algorithm or implementing an existing algorithm
{"title":"Analisis Sentimen Opini Masyarakat Terhadap Virus Omicron Di Indonesia Menggunakan Metode Naïve Bayes","authors":"Aziz Musthafa, Tri Harmini, A. Setiawan, Nur Aini Shofiya Asy’ari","doi":"10.21111/fij.v7i2.9359","DOIUrl":"https://doi.org/10.21111/fij.v7i2.9359","url":null,"abstract":"[Analysis Of News Sentiment And Public Opinion On Omicron Virus In Indonesia Using The Naïve Bayes Method] The Covid-19 virus continues to mutate to form new variants. The last detected variant, the Omicron variant, is known as the B.1.1.529 variant. This variant was first reported from South Africa on 24 November 2021 and has now spread worldwide. In July 2022 Omicron cases experienced a spike. This has led to a lot of public opinion, especially on social media, about the omicron virus. This study aims to classify public opinion on the emergence of the Omicron virus on Twitter and YouTube social media into positive, negative and neutral classes. The method used in this study is the naïve Bayes algorithm. Naïve Bayes is a method that can be used to classify public opinion sentiment. The results of sentiment analysis research using naïve Bayes produce an accuracy rate of 0.82%. Then the model was tested to read public opinion on Twitter from 5 October 2022 to 27 October 2022. The results for Twitter user sentiment on the keyword Covid 19 were dominated by positive sentiment with a percentage of 85%. And sentiment with the keyword Omicron is still dominated by positive sentiment with a percentage of 49%. It was stated that the results of the classification on data for October 2022 meant that people were much more optimistic about the disappearance of the Omicron virus. Henceforth this research can be improved by adding data or using a different algorithm or implementing an existing algorithm","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48011208","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":"Pengembangan Sistem Pendeteksi Kebocoran LPG Menggunakan Infrastruktur Instant Messaging Berbasis Internet of Things","authors":"Moch. Kholil, Ismanto Ismanto, Rafika Akhsani","doi":"10.21111/fij.v7i2.6509","DOIUrl":"https://doi.org/10.21111/fij.v7i2.6509","url":null,"abstract":"","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49557305","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}
Olief Ilmandira Ratu Farisi, Gulpi Qorik Oktagalu Pratamasunu, Siti Sulaihah
The distribution of mixed rice on the market makes it difficult for consumers to determine the rice quality. In determining rice quality, the consumers consider and compare the texture, size and shape, color, aroma, purity, and homogeneity manually. This process is prone to errors and mistakes, due to the limited ability of each human's vision. Therefore, a method to determine the quality of rice automatically based on the physical characteristics of rice is needed. In this paper, we proposed an automatic rice quality classification method using backpropagation based on the shape and color of the rice. There are four parameters used to determine the classification process, namely compactness, circularity, mean, and skewness. Compactness and circularity were used to determine the ratio between the whole rice and broken rice. While mean and skewness were used to determine the color distribution of the rice. Experiments have been performed on 100 images consisting of 50 premium and 50 medium rice images. The experimental results show that the proposed method can classify rice based on its shape and color effectively with an accuracy rate of 95%.
{"title":"Classification of Rice Quality Using Backpropagation Based on Shape and Color","authors":"Olief Ilmandira Ratu Farisi, Gulpi Qorik Oktagalu Pratamasunu, Siti Sulaihah","doi":"10.21111/fij.v7i2.7594","DOIUrl":"https://doi.org/10.21111/fij.v7i2.7594","url":null,"abstract":"The distribution of mixed rice on the market makes it difficult for consumers to determine the rice quality. In determining rice quality, the consumers consider and compare the texture, size and shape, color, aroma, purity, and homogeneity manually. This process is prone to errors and mistakes, due to the limited ability of each human's vision. Therefore, a method to determine the quality of rice automatically based on the physical characteristics of rice is needed. In this paper, we proposed an automatic rice quality classification method using backpropagation based on the shape and color of the rice. There are four parameters used to determine the classification process, namely compactness, circularity, mean, and skewness. Compactness and circularity were used to determine the ratio between the whole rice and broken rice. While mean and skewness were used to determine the color distribution of the rice. Experiments have been performed on 100 images consisting of 50 premium and 50 medium rice images. The experimental results show that the proposed method can classify rice based on its shape and color effectively with an accuracy rate of 95%.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49549904","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}
Thanryganka Vinsha Pharausia, Tri Afirianto, Faizatul Amalia
[Application of Augmented Reality Technology in Recognition of Computer Hardware for Learning Media to Increase Learning Interest in SMK TKJ Students] The Covid-19 pandemic causes learning to carried out independently and limitations of students media. Students need a learning media that can help to understanding the material. Augmented reality are an option to help students learn. The purpose of this study is to examine the impact of using augmented reality and knowing student interest in learning at class X TKJ at SMK PGRI 2 Malang. The research uses the Research and Development, model of making applications using Adobe XD, unity, and Vuforia. Data collection methods are observation, interviews, and giving questionnaires. The research data were analyzed by Aiken's V method for media testing by experts with average results of 0.635 and 0.822 by users, 0.722 by material experts that overall category are suitable for use. The results is increasing student interest in learning with the Paired t-test method obtained of Pre-test scores of 606 with an average of 30.3 then increase in Post-test to 436 with an average of 21.8 with a ranking number model that the fewer scores the higher the student's interest in learning. The conclusion of this study is that the application of Augmented Reality technology for learning media can be used to increase student interest in learning.
{"title":"Penerapan Teknologi Augmented Reality Dalam Pengenalan Struktur Hardware Komputer Pada Media Pembelajaran Untuk Meningkatkan Minat Belajar Siswa SMK TKJ","authors":"Thanryganka Vinsha Pharausia, Tri Afirianto, Faizatul Amalia","doi":"10.21111/fij.v7i1.6432","DOIUrl":"https://doi.org/10.21111/fij.v7i1.6432","url":null,"abstract":"[Application of Augmented Reality Technology in Recognition of Computer Hardware for Learning Media to Increase Learning Interest in SMK TKJ Students] The Covid-19 pandemic causes learning to carried out independently and limitations of students media. Students need a learning media that can help to understanding the material. Augmented reality are an option to help students learn. The purpose of this study is to examine the impact of using augmented reality and knowing student interest in learning at class X TKJ at SMK PGRI 2 Malang. The research uses the Research and Development, model of making applications using Adobe XD, unity, and Vuforia. Data collection methods are observation, interviews, and giving questionnaires. The research data were analyzed by Aiken's V method for media testing by experts with average results of 0.635 and 0.822 by users, 0.722 by material experts that overall category are suitable for use. The results is increasing student interest in learning with the Paired t-test method obtained of Pre-test scores of 606 with an average of 30.3 then increase in Post-test to 436 with an average of 21.8 with a ranking number model that the fewer scores the higher the student's interest in learning. The conclusion of this study is that the application of Augmented Reality technology for learning media can be used to increase student interest in learning.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48879393","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}
[Assessment of Academic Information Systems Using Technology Acceptance Model] Akademi Komunikasi Radya Binatama (AKRB) processes data and information using the Academic Information System (SIAKAD). SIAKAD integrating the information systems from several parts. Data are collected, processed, and presented to provide the information needed to make decisions for the institution. Since implemented in 2018, SIAKAD has never been evaluated regarding the use of SIAKAD. The Technology Acceptance Model (TAM) method is the choice in evaluating the application of SIAKAD AKRB, by examining the effect of each construct. Respondents of this study were 40 users of SIAKAD in AKRB. The Structural Equation Model (SEM) used to analyze the research data shows that the application of SIAKAD with the TAM method which has the highest t-statistical value of 2.855 is construct attitude toward using the system which has a major impact on the IT acceptance construct. From the resulting value, it can be concluded that the use of the AKRB academic information system can be accepted by staff and lecturers to support the process of learning activities.
【使用技术接受模型评估学术信息系统】Akademi Komunikasi Radya Binatama（AKRB）使用学术信息系统（SIAKAD）处理数据和信息。SIAKAD整合了多个部分的信息系统。数据被收集、处理和呈现，以提供为机构做出决策所需的信息。自2018年实施以来，SIAKAD从未就SIAKAD的使用进行过评估。技术接受模型（TAM）方法是通过检查每个构造的效果来评估SIAKAD AKRB应用的选择。这项研究的受访者是AKRB的40名SIAKAD用户。用于分析研究数据的结构方程模型（SEM）表明，SIAKAD和TAM方法的应用具有最高的t统计量2.855，是对使用该系统的态度，这对IT验收结构有重大影响。从由此产生的价值可以得出结论，工作人员和讲师可以接受使用AKRB学术信息系统来支持学习活动的过程。
{"title":"Penilaian Sistem Informasi Akademik Dengan Metode Technology Acceptance Model","authors":"Lukman Reza, S. Sunardi, H. Herman","doi":"10.21111/fij.v7i1.6393","DOIUrl":"https://doi.org/10.21111/fij.v7i1.6393","url":null,"abstract":"[Assessment of Academic Information Systems Using Technology Acceptance Model] Akademi Komunikasi Radya Binatama (AKRB) processes data and information using the Academic Information System (SIAKAD). SIAKAD integrating the information systems from several parts. Data are collected, processed, and presented to provide the information needed to make decisions for the institution. Since implemented in 2018, SIAKAD has never been evaluated regarding the use of SIAKAD. The Technology Acceptance Model (TAM) method is the choice in evaluating the application of SIAKAD AKRB, by examining the effect of each construct. Respondents of this study were 40 users of SIAKAD in AKRB. The Structural Equation Model (SEM) used to analyze the research data shows that the application of SIAKAD with the TAM method which has the highest t-statistical value of 2.855 is construct attitude toward using the system which has a major impact on the IT acceptance construct. From the resulting value, it can be concluded that the use of the AKRB academic information system can be accepted by staff and lecturers to support the process of learning activities.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45492396","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}
COVID-19 telah mengakibatkan banyak korban jiwa tidak hanya masyarakat biasa, namun juga tenaga kesehatan. Kurang lebih ratusan tenaga kesehatan meninggal dunia dalam tugas. Cukup tingginya tenaga kesehatan yang terinfeksi dan meninggal memberikan dampak terhadap ketersedian jumlah tenaga kesehatan pada suatu daerah khusunya rumah sakit. Salah satu solusi untuk mengantisipasi ketersediaan tenaga kesehatan yaitu dengan meminta bantuan tenaga kesehatan pada daerah yang minim resiko.Permohonan bantuan tenaga kesehatan kepada daerah minim resikodapat dilakukan dengan mengidentifikasi daerah minim resiko dengan menggunakan skyline query. Skyline query bekerja dengan mengidentifikasi daerah yang potensial untuk dijadikan sebagai daerah pembantu tenaga kesehatan. Skyline query dalam penelitian ini menggunakan preferensi pada tiga atribut. Preferensi maksimum digunakan untuk atribut tingkat kesembuhan pasien dari COVID-19. Preferensi minimum digunakan untuk atribut jumlah meninggal dan jumlah positif kasus COVID-19. Penelitian ini telah berhasil mengidentifikasi daerah yang menjadi prioritas untuk dimintai bantuan kesehatan. Rata-rata jumlah daerah prioritas yang menjadi objek skyline berjumlah 14 daerah. Jumlah objek skyline bergantung pada atribut yang mendekati preferensi. Semakin banyak daerah dengan kasus positif rendah, kasus meninggal rendah dan kasus meninggal tinggi maka semakin banyak daerah priroitas yang menjadi pembantu tenaga kesehatan.
{"title":"Rekomendasi Daerah Penyalur Tenaga Kesehatan Covid-19 Dengan Menggunakan Skyline Query","authors":"Vega Purwayoga, Budi Susanto","doi":"10.21111/FIJ.V7I1.5720","DOIUrl":"https://doi.org/10.21111/FIJ.V7I1.5720","url":null,"abstract":"COVID-19 telah mengakibatkan banyak korban jiwa tidak hanya masyarakat biasa, namun juga tenaga kesehatan. Kurang lebih ratusan tenaga kesehatan meninggal dunia dalam tugas. Cukup tingginya tenaga kesehatan yang terinfeksi dan meninggal memberikan dampak terhadap ketersedian jumlah tenaga kesehatan pada suatu daerah khusunya rumah sakit. Salah satu solusi untuk mengantisipasi ketersediaan tenaga kesehatan yaitu dengan meminta bantuan tenaga kesehatan pada daerah yang minim resiko.Permohonan bantuan tenaga kesehatan kepada daerah minim resikodapat dilakukan dengan mengidentifikasi daerah minim resiko dengan menggunakan skyline query. Skyline query bekerja dengan mengidentifikasi daerah yang potensial untuk dijadikan sebagai daerah pembantu tenaga kesehatan. Skyline query dalam penelitian ini menggunakan preferensi pada tiga atribut. Preferensi maksimum digunakan untuk atribut tingkat kesembuhan pasien dari COVID-19. Preferensi minimum digunakan untuk atribut jumlah meninggal dan jumlah positif kasus COVID-19. Penelitian ini telah berhasil mengidentifikasi daerah yang menjadi prioritas untuk dimintai bantuan kesehatan. Rata-rata jumlah daerah prioritas yang menjadi objek skyline berjumlah 14 daerah. Jumlah objek skyline bergantung pada atribut yang mendekati preferensi. Semakin banyak daerah dengan kasus positif rendah, kasus meninggal rendah dan kasus meninggal tinggi maka semakin banyak daerah priroitas yang menjadi pembantu tenaga kesehatan.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44283696","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}
Muhammad Yasir Anshari Haq, Muhammad Aminul Akbar, Tri Afirianto
Perkembangan teknologi di bidang gim sekarang sudah sangat pesat terutama pada gim balapan. Gim balapan memiliki tujuan untuk memberikan pemain sebuah pengalaman yang menantang dan menyenangkan dalam sebuah balapan melawan mobil yang dikendalikan oleh gim tersebut atau biasa disebut dengan Non-Player Character (NPC). Pengembangan gim balapan tentunya tidak dapat lepas dari pengembangan NPC sebagai lawan main dari pemain. Pada umumnya NPC dikembangkan menggunakan metode waypoint untuk navigasi dalam melintasi trek balapan. Kekurangan dalam metode waypoint adalah harus diatur secara manual untuk setiap trek dan memakan waktu yang lama untuk mengatur waypoint pada setiap trek. Begitu juga untuk membuat NPC balap yang kompetitif dibutuhkan desain rule base yang kompleks. Peneliti mengusulkan menggunakan metode machine learning untuk mengatasi permasalahan tersebut. Unity3D menyediakan sebuah open-source API bernama Unity ML-Agents yang dapat digunakan untuk melatih NPC. NPC dilatih menggunakan metode reinforcement learning dengan Unity ML-Agents yang bertujuan untuk melatih NPC dengan cara memberikan reward agar mencapai hasil yang optimal. Hasil yang didapatkan dengan memanfaatkan Unity ML-Agents adalah NPC yang dapat melintasi berbagai macam trek dan dapat menghindari tabrakan. NPC yang telah dikembangkan dengan Unity ML-Agents juga mendapatkan waktu total yang lebih sedikit dibandingkan dengan waktu total yang diperlukan pemain untuk menempuh 3 lap putaran pada suatu trek yaitu 55,9 detik dibandingkan dengan 59,4 detik.
{"title":"Pengembangan Non-Player Character (NPC) Menggunakan Unity ML-Agents Pada Karting Microgame","authors":"Muhammad Yasir Anshari Haq, Muhammad Aminul Akbar, Tri Afirianto","doi":"10.21111/FIJ.V7I1.5487","DOIUrl":"https://doi.org/10.21111/FIJ.V7I1.5487","url":null,"abstract":"Perkembangan teknologi di bidang gim sekarang sudah sangat pesat terutama pada gim balapan. Gim balapan memiliki tujuan untuk memberikan pemain sebuah pengalaman yang menantang dan menyenangkan dalam sebuah balapan melawan mobil yang dikendalikan oleh gim tersebut atau biasa disebut dengan Non-Player Character (NPC). Pengembangan gim balapan tentunya tidak dapat lepas dari pengembangan NPC sebagai lawan main dari pemain. Pada umumnya NPC dikembangkan menggunakan metode waypoint untuk navigasi dalam melintasi trek balapan. Kekurangan dalam metode waypoint adalah harus diatur secara manual untuk setiap trek dan memakan waktu yang lama untuk mengatur waypoint pada setiap trek. Begitu juga untuk membuat NPC balap yang kompetitif dibutuhkan desain rule base yang kompleks. Peneliti mengusulkan menggunakan metode machine learning untuk mengatasi permasalahan tersebut. Unity3D menyediakan sebuah open-source API bernama Unity ML-Agents yang dapat digunakan untuk melatih NPC. NPC dilatih menggunakan metode reinforcement learning dengan Unity ML-Agents yang bertujuan untuk melatih NPC dengan cara memberikan reward agar mencapai hasil yang optimal. Hasil yang didapatkan dengan memanfaatkan Unity ML-Agents adalah NPC yang dapat melintasi berbagai macam trek dan dapat menghindari tabrakan. NPC yang telah dikembangkan dengan Unity ML-Agents juga mendapatkan waktu total yang lebih sedikit dibandingkan dengan waktu total yang diperlukan pemain untuk menempuh 3 lap putaran pada suatu trek yaitu 55,9 detik dibandingkan dengan 59,4 detik.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48716506","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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