Pub Date : 2022-07-05DOI: 10.31937/ijnmt.v9i1.2670
Muhamad Riza Kurniawanda, F. Tobing
Technological developments make social media widely used by the general public, which causes negative impacts, one of which is cyberbullying. Cyberbullying is an act of insulting, humiliating another person on social media. A system that can detect cyberbullying because of the large amount of information circulating on social media is impossible for humans to visit. One suitable method to solve this problem is Extereme Gradient Boosting (XGBoost). XGBoost was chosen because it can run 10 times faster than other Gradient Boosting methods. The process of changing sentences into vectors uses the TF-IDF method. The TF/IDF method is known as a simple but relevant algorithm in doing words on a document. XGBoost accepts input in the form of vectors obtained from the TF-IDF process. In this research, there are 1452 comments which will be broken down into training data and testing data. By using XGBoost and TF-IDF methods, the accuracy is 75.20%, precision is 71%, recall is 87%, and F1-score is 78%.
{"title":"Analysis Sentiment Cyberbullying In Instagram Comments with XGBoost Method","authors":"Muhamad Riza Kurniawanda, F. Tobing","doi":"10.31937/ijnmt.v9i1.2670","DOIUrl":"https://doi.org/10.31937/ijnmt.v9i1.2670","url":null,"abstract":"Technological developments make social media widely used by the general public, which causes negative impacts, one of which is cyberbullying. Cyberbullying is an act of insulting, humiliating another person on social media. A system that can detect cyberbullying because of the large amount of information circulating on social media is impossible for humans to visit. One suitable method to solve this problem is Extereme Gradient Boosting (XGBoost). XGBoost was chosen because it can run 10 times faster than other Gradient Boosting methods. The process of changing sentences into vectors uses the TF-IDF method. The TF/IDF method is known as a simple but relevant algorithm in doing words on a document. XGBoost accepts input in the form of vectors obtained from the TF-IDF process. In this research, there are 1452 comments which will be broken down into training data and testing data. By using XGBoost and TF-IDF methods, the accuracy is 75.20%, precision is 71%, recall is 87%, and F1-score is 78%.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"52 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900573","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 : 2022-07-05DOI: 10.31937/ijnmt.v9i1.2509
Andrianingsih Andrianingsih, Tri Wahyu Widyaningsih, M. A. Dewi
Abstract - Researchers in conducting their research use the search using the homepage of the publication, according to expertise, collaboration in research, and research interests. And at this time the Covid 19 pandemic, became a trending topic for researchers, in various scientific fields. This study classifies based on publications located on the homepage source namely Scopus and Google Scholar, by analyzing the following topics, namely Natural Language Processing, Text Mining, Remote Sensing, and Sentiment Analysis using Name Entity Recognition to detect and classify named entities in text and using occurrence and link strength methods. The results showed science index literature about diseases Covid 19, obtained that Scopus has the most equitable percentage, has a good occurrence and link strength among the five scientific fields, namely Natural Language Processing 23.81%.33%, Text Mining 19.05%%, Remote Sensing 0 %, Sentiment Analysis 57.14 % then Google Scholar Natural Language Processing 51.35%, Text Mining 0 %, Remote Sensing 48.65 %, Sentiment Analysis 0 % Index Terms : Information Extraction; Bibliographic indexing; Disease Covid 19
{"title":"Bibliographic Computer Science Indexing Review with Disease Covid 19","authors":"Andrianingsih Andrianingsih, Tri Wahyu Widyaningsih, M. A. Dewi","doi":"10.31937/ijnmt.v9i1.2509","DOIUrl":"https://doi.org/10.31937/ijnmt.v9i1.2509","url":null,"abstract":"Abstract - Researchers in conducting their research use the search using the homepage of the publication, according to expertise, collaboration in research, and research interests. And at this time the Covid 19 pandemic, became a trending topic for researchers, in various scientific fields. This study classifies based on publications located on the homepage source namely Scopus and Google Scholar, by analyzing the following topics, namely Natural Language Processing, Text Mining, Remote Sensing, and Sentiment Analysis using Name Entity Recognition to detect and classify named entities in text and using occurrence and link strength methods. The results showed science index literature about diseases Covid 19, obtained that Scopus has the most equitable percentage, has a good occurrence and link strength among the five scientific fields, namely Natural Language Processing 23.81%.33%, Text Mining 19.05%%, Remote Sensing 0 %, Sentiment Analysis 57.14 % then Google Scholar Natural Language Processing 51.35%, Text Mining 0 %, Remote Sensing 48.65 %, Sentiment Analysis 0 % \u0000 \u0000Index Terms : Information Extraction; Bibliographic indexing; Disease Covid 19","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576726","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 : 2022-07-05DOI: 10.31937/ijnmt.v9i1.2405
H. Hery, C. Haryani, A. Mitra, A. E. Widjaja
Fire is a type of disaster that can occur anytime and anywhere as a result of any accidental or intentional causes. Without exception, houses are also very vulnerable to fire. To anticipate the catastrophic effects of fire that can destroy houses, advanced technology, such as the Internet of Things (IoT) can be utilized to detect the smoke and fire. This study aims to design an early warning fire detection system for home monitoring using smoke detection sensors based on Arduino microcontroller together with NodeMCU ESP8266. This early warning fire detection system is expected to function by notifying homeowners when detecting the presence of smoke in their homes. With the aid of this detection system, the issue of potential damage, death, or material loss caused by fire can be significantly reduced. The results and testing of the designed system will be discussed in the paper.
{"title":"The Design of Microcontroller Based Early Warning Fire Detection System for Home Monitoring","authors":"H. Hery, C. Haryani, A. Mitra, A. E. Widjaja","doi":"10.31937/ijnmt.v9i1.2405","DOIUrl":"https://doi.org/10.31937/ijnmt.v9i1.2405","url":null,"abstract":"Fire is a type of disaster that can occur anytime and anywhere as a result of any accidental or intentional causes. Without exception, houses are also very vulnerable to fire. To anticipate the catastrophic effects of fire that can destroy houses, advanced technology, such as the Internet of Things (IoT) can be utilized to detect the smoke and fire. This study aims to design an early warning fire detection system for home monitoring using smoke detection sensors based on Arduino microcontroller together with NodeMCU ESP8266. This early warning fire detection system is expected to function by notifying homeowners when detecting the presence of smoke in their homes. With the aid of this detection system, the issue of potential damage, death, or material loss caused by fire can be significantly reduced. The results and testing of the designed system will be discussed in the paper.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131762250","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 : 2022-07-05DOI: 10.31937/ijnmt.v9i1.2658
Inggrid Fortuna, Yaman Khaeruzzaman
Elections are a form of democratic practice in Indonesia. Every 5 years an election will be held to elect a president. People who have been able to take part in the election will come to the polling station (TPS) to channel their voting rights. However, this conventional method proved ineffective because some people who were unable to attend due to certain situations for example, traveling out of town, did not want to queue, and experienced illness or physical disability. Therefore, this study aims to design an online voting system based on Android as an alternative to conventional elections and digital transformation in the voting method in Indonesia. The system will use Optical Character Recognition technology by firebase ml-kit to read Identification Number on the Identity Card and face recognition technology to compare the faces of voters during registration and during online elections. The Face Recognition system is implemented using Multi-task Convolutional Neural Network to detect faces and using Tensorflowlite to translate the facial model provided by the FaceNet model. Results Research shows the success of the OCR system is 96.67% and the accuracy of face recognition is 100%. The accuracy of OCR ml-kit and face detection using Multi-task Convolutional Neural Network and Face Recognition using tensorflowlite and FaceNet models proved to be 100% successful.
{"title":"Implementation of OCR and Face Recognition on Mobile Based Voting System Application in Indonesia","authors":"Inggrid Fortuna, Yaman Khaeruzzaman","doi":"10.31937/ijnmt.v9i1.2658","DOIUrl":"https://doi.org/10.31937/ijnmt.v9i1.2658","url":null,"abstract":"Elections are a form of democratic practice in Indonesia. Every 5 years an election will be held to elect a president. People who have been able to take part in the election will come to the polling station (TPS) to channel their voting rights. However, this conventional method proved ineffective because some people who were unable to attend due to certain situations for example, traveling out of town, did not want to queue, and experienced illness or physical disability. Therefore, this study aims to design an online voting system based on Android as an alternative to conventional elections and digital transformation in the voting method in Indonesia. The system will use Optical Character Recognition technology by firebase ml-kit to read Identification Number on the Identity Card and face recognition technology to compare the faces of voters during registration and during online elections. The Face Recognition system is implemented using Multi-task Convolutional Neural Network to detect faces and using Tensorflowlite to translate the facial model provided by the FaceNet model. Results Research shows the success of the OCR system is 96.67% and the accuracy of face recognition is 100%. The accuracy of OCR ml-kit and face detection using Multi-task Convolutional Neural Network and Face Recognition using tensorflowlite and FaceNet models proved to be 100% successful.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132649809","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 : 2022-07-05DOI: 10.31937/ijnmt.v9i1.2398
Hasdiansah Hasdiansah
Abstract—Manufacturing process over the past 50 years has led to very rapid and continuous progress in the manufacturing industry, one of the manufacturing processes that has progressed is 3D printing technology. The type of filament used in this research is nylon filament. This study aims to obtain optimal process parameters for dimensional accuracy. The method used in this study is the Taguchi L27 OA method. The process parameters used are nozzle temperature, bad temperature, layer thickness, flowrate, printing speed, overlap, infill density, infill speed, wall thickness. The results showed that the optimal process parameters are nozzle temperature(256°C), bad temperature(96°C), layer thickness(0.2mm), flowrate(90%), printing speed(30mm/s), overlap (10%), Keywords: 3D printing; Accuracy; Dimensions; Nylon; Parameter;
{"title":"Optimization of Process Variables in 3D Printing on Dimensional Accuracy Using Nylon Filaments","authors":"Hasdiansah Hasdiansah","doi":"10.31937/ijnmt.v9i1.2398","DOIUrl":"https://doi.org/10.31937/ijnmt.v9i1.2398","url":null,"abstract":"Abstract—Manufacturing process over the past 50 years has led to very rapid and continuous progress in the manufacturing industry, one of the manufacturing processes that has progressed is 3D printing technology. The type of filament used in this research is nylon filament. This study aims to obtain optimal process parameters for dimensional accuracy. The method used in this study is the Taguchi L27 OA method. The process parameters used are nozzle temperature, bad temperature, layer thickness, flowrate, printing speed, overlap, infill density, infill speed, wall thickness. The results showed that the optimal process parameters are nozzle temperature(256°C), bad temperature(96°C), layer thickness(0.2mm), flowrate(90%), printing speed(30mm/s), overlap (10%), \u0000Keywords: 3D printing; Accuracy; Dimensions; Nylon; Parameter;","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129023967","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}
One way to find out whether there is a stroke is to do a CT scan . But the results of the examination with a new CT scan can be obtained in quite a long time. In addition, sometimes there are differences of opinion between doctors and radiologists regarding what is seen from the results of the examination. This research was conducted to produce a software that can later be integrated with the existing system on the CT Scan tool so that it can immediately be known whether or not stroke is present from the CT Scan results. In this study, a dynamic image segmentation method is implemented, namely the watershed transformation method which will later produce regions as a feature for the stroke detection process carried out with the backpropagation algorithm. From experiments conducted on CT scan images of the brain, this method can detect stroke well. The results obtained are 100% for training data and 90% for test data.
{"title":"Application Of Dynamic Segmentation In Stroke Detection Software With ANN","authors":"Hastie Audytra, Julian Supardi, Abdiansah Abdiansah","doi":"10.31937/ijnmt.v8i2.2439","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i2.2439","url":null,"abstract":"One way to find out whether there is a stroke is to do a CT scan . But the results of the examination with a new CT scan can be obtained in quite a long time. In addition, sometimes there are differences of opinion between doctors and radiologists regarding what is seen from the results of the examination. This research was conducted to produce a software that can later be integrated with the existing system on the CT Scan tool so that it can immediately be known whether or not stroke is present from the CT Scan results. In this study, a dynamic image segmentation method is implemented, namely the watershed transformation method which will later produce regions as a feature for the stroke detection process carried out with the backpropagation algorithm. From experiments conducted on CT scan images of the brain, this method can detect stroke well. The results obtained are 100% for training data and 90% for test data.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124971412","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 : 2022-02-28DOI: 10.31937/ijnmt.v8i2.2357
Fahmy Rinanda Saputri, N. Prastomo, Jeremy Pratama Wijaya
Since Corona Virus Disease (COVID) – 19 is considered a pandemic by the World Health Organization (WHO), governments, and communities, worldwide trying to prevent transmission and reduce the number of deaths caused by the virus. One method of preventing transmission is spraying disinfectants using certain chemical compounds. However, chemicals can also hurt the environment and humans themselves if the doses used are not by existing standards. An alternative disinfectant method that does not use chemicals and is environmentally friendly, namely by using the UV (Ultraviolet)-decontamination method, UV-C rays. This research aims to find out the results of UV irradiation from UV-C lamps in theory and measurement. Then, the optimal placement of a fixed - UV lamp system to obtain an effective disinfectant dose and the length of time it takes to reach the target dose prevent the spread of the COVID-19 virus. The methods include theoretical calculations and data measurements to see the results of UV radiation irradiation on UV-C lamps and look for correlations between the two to find the conversion value. Moreover, with the help of DIALux Evo 9.2 software to find out the radiation value from the conversion equation, see the optimum UV dose spread, and reach the desired dose target time. The result is that there are differences in the results of UV irradiation on UV-C lamps with the efficiency of lamps and ballasts as well as on the measurement method that affects UV-C radiation, but according to field conditions and does not affect the actual application. The number of lamp placements and the dimensions of the room affects the dose spread. Moreover, the minimum time to achieve the target dose in the case study is 29 minutes using six placements of UV-C lamps with two lamps each at the six placement points.
由于冠状病毒病(COVID) - 19被世界卫生组织(世卫组织)视为大流行，世界各地的政府和社区都在努力防止传播并减少由该病毒引起的死亡人数。预防传播的一种方法是喷洒含有特定化合物的消毒剂。然而，如果使用的剂量不符合现有标准，化学品也会损害环境和人类自身。另一种不使用化学品且对环境友好的消毒方法，即使用紫外线(UV- c)去污方法。本研究旨在从理论上和测量上找出UV- c灯的紫外照射结果。然后，通过最佳放置固定UV灯系统来获得有效的消毒剂剂量和达到目标剂量所需的时间长度，从而防止COVID-19病毒的传播。该方法包括理论计算和数据测量，以查看UV辐射照射UV- c灯的结果，并寻找两者之间的相关性，从而求出转换值。此外，借助DIALux Evo 9.2软件从转换方程中求出辐射值，查看最佳紫外线剂量扩散，并达到所需剂量目标时间。结果表明，UV- c灯的紫外照射结果随灯具和镇流器的效率以及影响UV- c辐射的测量方法存在差异，但根据现场情况而定，不影响实际应用。灯的放置数量和房间的尺寸影响剂量的扩散。此外，在案例研究中，达到目标剂量的最短时间为29分钟，使用6个放置UV-C灯的位置，在6个放置点各放置2个灯。
{"title":"Ultraviolet – C Dose Spread Simulation based on the Fixed-Lamp System in Universitas Multimedia Nusantara","authors":"Fahmy Rinanda Saputri, N. Prastomo, Jeremy Pratama Wijaya","doi":"10.31937/ijnmt.v8i2.2357","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i2.2357","url":null,"abstract":"Since Corona Virus Disease (COVID) – 19 is considered a pandemic by the World Health Organization (WHO), governments, and communities, worldwide trying to prevent transmission and reduce the number of deaths caused by the virus. One method of preventing transmission is spraying disinfectants using certain chemical compounds. However, chemicals can also hurt the environment and humans themselves if the doses used are not by existing standards. An alternative disinfectant method that does not use chemicals and is environmentally friendly, namely by using the UV (Ultraviolet)-decontamination method, UV-C rays. This research aims to find out the results of UV irradiation from UV-C lamps in theory and measurement. Then, the optimal placement of a fixed - UV lamp system to obtain an effective disinfectant dose and the length of time it takes to reach the target dose prevent the spread of the COVID-19 virus. The methods include theoretical calculations and data measurements to see the results of UV radiation irradiation on UV-C lamps and look for correlations between the two to find the conversion value. Moreover, with the help of DIALux Evo 9.2 software to find out the radiation value from the conversion equation, see the optimum UV dose spread, and reach the desired dose target time. The result is that there are differences in the results of UV irradiation on UV-C lamps with the efficiency of lamps and ballasts as well as on the measurement method that affects UV-C radiation, but according to field conditions and does not affect the actual application. The number of lamp placements and the dimensions of the room affects the dose spread. Moreover, the minimum time to achieve the target dose in the case study is 29 minutes using six placements of UV-C lamps with two lamps each at the six placement points.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132047342","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 : 2022-02-28DOI: 10.31937/ijnmt.v8i2.2465
Deden Nurjaman
Pharmaceutical companies are an example of an industrial sector that uses technology-based systems in its production process. In this research the author will develop a SCADA (Supervisory Control Acquisition Data) system as a platform to solve several problems that are present in pharmaceutical production, namely in the drug production process using hemodilysis mixing tanks. The method that the author uses for this research is experimental research and data collection methods, which use the independent variables of the study, water level control and temperature control, while the independent variables related to the system reading results are displayed on the SCADA screen. Based on the results of mathematical calculations, it can be concluded that the production process using the SCADA system produces a more efficient time with a total time difference of 38 minutes/batch. Operations using SCADA technology within 24 hours were able to produce 4 batches of Infusion Bags, while using the conventional system only 3 batches. Operational needs using SCADA technology will generate more benefits in terms of cost and time, creating more effective and efficient work system for the company.
制药公司是在其生产过程中使用基于技术的系统的工业部门的一个例子。在本研究中，作者将开发一个SCADA (Supervisory Control Acquisition Data)系统作为平台来解决制药生产中存在的几个问题，即在药物生产过程中使用血液溶解混合罐。笔者在本研究中采用的方法是实验研究和数据收集的方法，使用了研究的自变量，水位控制和温度控制，而与系统读取结果相关的自变量显示在SCADA屏幕上。根据数学计算结果，可以得出使用SCADA系统的生产过程产生了更高效的时间，总时间差为38分钟/批。使用SCADA技术的操作在24小时内能够生产4批输液袋，而使用常规系统只能生产3批。使用SCADA技术的操作需求将在成本和时间方面产生更多效益，为公司创造更有效和高效的工作系统。
{"title":"Prototype Project SCADA on Hemodialysis Mixing Tank Operation","authors":"Deden Nurjaman","doi":"10.31937/ijnmt.v8i2.2465","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i2.2465","url":null,"abstract":"Pharmaceutical companies are an example of an industrial sector that uses technology-based systems in its production process. In this research the author will develop a SCADA (Supervisory Control Acquisition Data) system as a platform to solve several problems that are present in pharmaceutical production, namely in the drug production process using hemodilysis mixing tanks. \u0000The method that the author uses for this research is experimental research and data collection methods, which use the independent variables of the study, water level control and temperature control, while the independent variables related to the system reading results are displayed on the SCADA screen. \u0000Based on the results of mathematical calculations, it can be concluded that the production process using the SCADA system produces a more efficient time with a total time difference of 38 minutes/batch. Operations using SCADA technology within 24 hours were able to produce 4 batches of Infusion Bags, while using the conventional system only 3 batches. Operational needs using SCADA technology will generate more benefits in terms of cost and time, creating more effective and efficient work system for the company.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509595","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 : 2022-02-28DOI: 10.31937/ijnmt.v8i2.2428
Afnil Dwi Oktanto, Palgunadi Surya Prasetyo, I. Irwan, Linda Fujiyanti
The final project is an educational method to determine the competence of a student regarding the knowledge that has been obtained during lectures. The Final Project Information System is carried out in accordance with the General Guidelines for the Final Project of the Bangka Belitung Manufacturing Polytechnic, the final project data management process is managed by the final project commission. The implementation of the final project information is currently still being done manually. Making a website-based Final Project Information System aims to make the final project implementation process more efficient and effective. The actors involved in it are students, final project commissions, supervisors, and examiners. In this research, the method used is the development of the Software Development Lifecycle method.
{"title":"The Design of Final Project Information System","authors":"Afnil Dwi Oktanto, Palgunadi Surya Prasetyo, I. Irwan, Linda Fujiyanti","doi":"10.31937/ijnmt.v8i2.2428","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i2.2428","url":null,"abstract":"The final project is an educational method to determine the competence of a student regarding the knowledge that has been obtained during lectures. The Final Project Information System is carried out in accordance with the General Guidelines for the Final Project of the Bangka Belitung Manufacturing Polytechnic, the final project data management process is managed by the final project commission. The implementation of the final project information is currently still being done manually. Making a website-based Final Project Information System aims to make the final project implementation process more efficient and effective. The actors involved in it are students, final project commissions, supervisors, and examiners. In this research, the method used is the development of the Software Development Lifecycle method.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891569","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 : 2022-02-28DOI: 10.31937/ijnmt.v8i2.2366
Christian Pangestu Kuncoro
Education is one of the most important things in human life, and in the world of education. However, there are still many students who graduate not on time. The purpose of this study is to find out an overview of what factors influence, then data analysis, and visualization so that students can graduate on time or not on time for UMN student graduates in 2018-2020. The method or approach used to solve the problem is data collection, independent variable, dependent variable, CRISP-DM, with SQLYog tools, to store data, rapid miner for data cleaning, then calculate prediction accuracy with rapid miner using nave Bayes algorithm, and regression logistics, using the included 10-fold validation method, and visualizing the data with Tableau.
{"title":"Analysis Of UMN Student Graduation Timeliness Using Supervised Learning Method","authors":"Christian Pangestu Kuncoro","doi":"10.31937/ijnmt.v8i2.2366","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i2.2366","url":null,"abstract":"Education is one of the most important things in human life, and in the world of education. However, there are still many students who graduate not on time. The purpose of this study is to find out an overview of what factors influence, then data analysis, and visualization so that students can graduate on time or not on time for UMN student graduates in 2018-2020. The method or approach used to solve the problem is data collection, independent variable, dependent variable, CRISP-DM, with SQLYog tools, to store data, rapid miner for data cleaning, then calculate prediction accuracy with rapid miner using nave Bayes algorithm, and regression logistics, using the included 10-fold validation method, and visualizing the data with Tableau.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130048900","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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