AbstrakTomat (Lycopersicum esculentum Mill.) merupakan satu komoditas unggulan pertanian karena penjualan jangka panjangnya baik. Menurunnya jumlah produktivitas dan mutu tomat disebabkan oleh curah hujan yang tinggi, cuaca dan budidaya yang tidak baik sehingga buah tomat menjadi busuk, retak, dan timbul bercak. Penyuluhan terkait peningkatan mutu tomat dinilai kurang efektif sehingga dibutuhkan sebuah sistem identifikasi kerusakan mutu buah tomat yang mampu memberikan edukasi kepada petani. Penelitian ini adalah pengembangan penelitian sebelumnya, untuk mendapatkan citra segmentasi dan ekstraksi fitur digunakan penggunaan contrast stretching dan deteksi tepi sobel. Namun kedua teknik tersebut diganti penggunaan operasi citra negatif. Didapatkan fitur yang optimal adalah gabungan fitur morfologi dan pada masing-masing sudut berdasarkan seleksi fitur. Persentasi akurasi metode KNN pada pelatihan sebesar 86.6% sedangkan akurasi pengujiannya sebesar 70%.Kata kunci: kerusakan mutu, tomat, seleksi fitur, K-Nearest NeighborAbstractTomato (Lycopersicum esculentum Mill.) is one of the leading agricultural commodities because of its good long-term sales. The decrease in the amount of productivity and quality of tomatoes is caused by high rainfall, bad weather and cultivation so that the tomatoes become rotten, cracked, and have spots. Counseling related to improving the quality of tomatoes is considered ineffective so that a system for identifying damage to the quality of tomatoes is needed that is able to provide education to farmers. This study is a development of previous research, to obtain segmented images and feature extraction using contrast stretching and sobel edge detection. However, both techniques were replaced by using negative image operations. The optimal feature is a combination of morphological features and correlations at each angle based on feature selection. The percentage of accuracy of the KNN method in training is 87%, while the accuracy in the testing is 70%.Keywords: quality damage, tomato, feature selection, K-Nearest Neighbo
{"title":"Klasifikasi Kerusakan Mutu Tomat Berdasarkan Seleksi Fitur Menggunakan K-Nearest Neighbor","authors":"Niske Elmy Paulina, Zilvanhisna Emka Fitri, Abd. Madjid, Arizal Mujibtamala Nanda Imron","doi":"10.26760/mindjournal.v6i2.144-154","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.144-154","url":null,"abstract":"AbstrakTomat (Lycopersicum esculentum Mill.) merupakan satu komoditas unggulan pertanian karena penjualan jangka panjangnya baik. Menurunnya jumlah produktivitas dan mutu tomat disebabkan oleh curah hujan yang tinggi, cuaca dan budidaya yang tidak baik sehingga buah tomat menjadi busuk, retak, dan timbul bercak. Penyuluhan terkait peningkatan mutu tomat dinilai kurang efektif sehingga dibutuhkan sebuah sistem identifikasi kerusakan mutu buah tomat yang mampu memberikan edukasi kepada petani. Penelitian ini adalah pengembangan penelitian sebelumnya, untuk mendapatkan citra segmentasi dan ekstraksi fitur digunakan penggunaan contrast stretching dan deteksi tepi sobel. Namun kedua teknik tersebut diganti penggunaan operasi citra negatif. Didapatkan fitur yang optimal adalah gabungan fitur morfologi dan pada masing-masing sudut berdasarkan seleksi fitur. Persentasi akurasi metode KNN pada pelatihan sebesar 86.6% sedangkan akurasi pengujiannya sebesar 70%.Kata kunci: kerusakan mutu, tomat, seleksi fitur, K-Nearest NeighborAbstractTomato (Lycopersicum esculentum Mill.) is one of the leading agricultural commodities because of its good long-term sales. The decrease in the amount of productivity and quality of tomatoes is caused by high rainfall, bad weather and cultivation so that the tomatoes become rotten, cracked, and have spots. Counseling related to improving the quality of tomatoes is considered ineffective so that a system for identifying damage to the quality of tomatoes is needed that is able to provide education to farmers. This study is a development of previous research, to obtain segmented images and feature extraction using contrast stretching and sobel edge detection. However, both techniques were replaced by using negative image operations. The optimal feature is a combination of morphological features and correlations at each angle based on feature selection. The percentage of accuracy of the KNN method in training is 87%, while the accuracy in the testing is 70%.Keywords: quality damage, tomato, feature selection, K-Nearest Neighbo","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77040821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.132-143
Ashadi Amir Nurhakim, Robby Ikhsan AR RASYID, W. Waluyo
AbstrakIsolator adalah suatu perlengkapan yang cukup berarti dalam saluran udara tegangan menengah. Distribusi potensial serta medan listrik di sekitar isolator ialah wilayah yang masih mendapat pengaruh sifat kelistrikan dari suatu muatan. Riset ini mengulas simulasi distribusi potensial serta medan listrik pada isolator tegangan menengah berjenis porselen berbasis metode elemen hingga (MEH). Metode ini digunakan agar memudahkan dalam mengukur pendistribusian potensial listrik dan medan listrik pada isolator karena merupakan salah satu metode numerik yang lebih praktis untuk memecahkan masalah elektrostatik. Dari hasil simulasi 3D diperoleh pola distribusi potensial listrik selalu mengikuti kontur dari isolator sedangkan untuk distribusi medan listriknya mencapai nilai tertinggi sebesar 5,3 kV/cm. Sedangkan dari grafik distribusi medan listrik terlihat lebih jelas bahwa stress medan listrik yang besar terdapat pada daerah koneksi antara isolator dengan konduktor serta isolator dengan ground.Kata kunci: Isolator Porselen, Medan Listrik, Metoda Elemen Hingga (MEH), Potensial Listrik.AbstractAn insulator is a fairly significant piece of equipment in a medium-voltage overhead line. The distribution of potential and electric field around an insulator is an area that is still affected by the electrical properties of a charge. This research reviews the distribution of potential and electric field simulations on porcelain-type medium-voltage insulators based on the finite element method (FEM). This method is used to make it easier to measure the distribution of electric potential and electric field on an insulator because it is one of the more practical numerical methods for solving electrostatic problems. From the 3D simulation results, the distribution pattern of the electric potential always follows the contours of the insulator, while the electric field distribution reaches the highest value of 5.3 kV/cm. Meanwhile, from the electric field distribution charts, it is clearer that the large electric field stress is found in the area around the insulator with conductors and insulators with ground.Keywords: Porcelain Insulator, Electric Field, Finite Element Method (FEM), Electric Potential.
抽象在中等电压风管中是一种很重要的设备。绝缘体周围的电场的潜在分布和电场是仍受到电荷电位影响的区域。这项研究涉及的是中等电压绝缘体的潜在分布和电场。该方法被用来便于测量电的潜在分布和绝缘体上的电场，因为它是解决静电问题的更实际的数字方法之一。从三维模拟中获得的电位分布模式一直遵循绝缘体的轮廓，而电场分布的质量为5.3 kV/cm。尽管从电场分布图来看，更明显的是，巨大的电场应力存在于分子与导体和地面绝缘体之间的连接区域。关键词:陶瓷绝缘体、电场、方法论元素至(竹)、电势。AbstractAn绝缘材料是一种用于中等电压叠加的重要材料。在绝缘体周围的电场的分布是一个仍然受到电荷电力特性影响的区域。这项研究回顾了在非技术性方法上的潜在和电场模拟的分布。这种方法用来很容易地使其在绝缘体上应用电能和电能场的分布，因为这是解决电能问题的更多实践新方法之一。从《3D模拟results distribution模式》,电绝缘体潜在的总是follows contours》,而《electric field distribution深处的最高价值的5 . 3 / cm。我的意思是，从电动分布图表中，它清除了巨大的电气压力在绝缘材料周围的区域发现了导体和地面绝缘材料。Keywords:绝缘体、电气场、有限元素方法论、电势电势。
{"title":"Simulasi Berbasis MEH untuk Pemodelan Distribusi Potensial Listrik dan Medan Listrik pada Isolator Porselen 20 kV","authors":"Ashadi Amir Nurhakim, Robby Ikhsan AR RASYID, W. Waluyo","doi":"10.26760/mindjournal.v6i2.132-143","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.132-143","url":null,"abstract":"AbstrakIsolator adalah suatu perlengkapan yang cukup berarti dalam saluran udara tegangan menengah. Distribusi potensial serta medan listrik di sekitar isolator ialah wilayah yang masih mendapat pengaruh sifat kelistrikan dari suatu muatan. Riset ini mengulas simulasi distribusi potensial serta medan listrik pada isolator tegangan menengah berjenis porselen berbasis metode elemen hingga (MEH). Metode ini digunakan agar memudahkan dalam mengukur pendistribusian potensial listrik dan medan listrik pada isolator karena merupakan salah satu metode numerik yang lebih praktis untuk memecahkan masalah elektrostatik. Dari hasil simulasi 3D diperoleh pola distribusi potensial listrik selalu mengikuti kontur dari isolator sedangkan untuk distribusi medan listriknya mencapai nilai tertinggi sebesar 5,3 kV/cm. Sedangkan dari grafik distribusi medan listrik terlihat lebih jelas bahwa stress medan listrik yang besar terdapat pada daerah koneksi antara isolator dengan konduktor serta isolator dengan ground.Kata kunci: Isolator Porselen, Medan Listrik, Metoda Elemen Hingga (MEH), Potensial Listrik.AbstractAn insulator is a fairly significant piece of equipment in a medium-voltage overhead line. The distribution of potential and electric field around an insulator is an area that is still affected by the electrical properties of a charge. This research reviews the distribution of potential and electric field simulations on porcelain-type medium-voltage insulators based on the finite element method (FEM). This method is used to make it easier to measure the distribution of electric potential and electric field on an insulator because it is one of the more practical numerical methods for solving electrostatic problems. From the 3D simulation results, the distribution pattern of the electric potential always follows the contours of the insulator, while the electric field distribution reaches the highest value of 5.3 kV/cm. Meanwhile, from the electric field distribution charts, it is clearer that the large electric field stress is found in the area around the insulator with conductors and insulators with ground.Keywords: Porcelain Insulator, Electric Field, Finite Element Method (FEM), Electric Potential.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76266459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.236-249
L. Nulhakim, Nanda Fausiyah
AbstrakProses seleksi santri terbaik pada Yayasan Hubbu Ahmad Center masih belum optimal. Banyaknya data nilai yang harus diolah dan seleksi hasil nilai tertinggi masih dilakukan dengan cara konvesional dengan memilih santri berdasarkan data yang ada kemudian dibuat kesimpulan bahwa santri tersebut mendapat predikat terbaik, tentu hal ini sangat kurang efektif dan tingkat ke akuratan yang dirasa kurang tepat. Dengan metode Simple Additive Weighting (SAW) proses seleksi dilakukan dengan urutan dan kriteria serta perhitungan yang tepat dan sesuai, sehingg sistem seleksi santri terbaik ini dengan tujuan membantu guru dalam menentukan santri terbaik dan tidak terjadi kesalahan. Dalam perancangan ini penulis menggunakan web base PHP sebagai aplikasi perhitungan seleksi santri terbaik dan MySQL sebagai database sistem. Kata kunci: Santri Terbaik, Mysql, PHP, SAWAbstractThe selection process for the best students at the Hubbu Ahmad Center Foundation is still not optimal. The amount of value data that must be processed and the selection of the highest results is still carried out in the conventional way by selecting students based on existing data and then a conclusion is made that these students get the best predicate, of course this is very less effective and the level of accuracy is felt to be less precise. With the Simple Addtive Weighting (SAW) method, the selection process is carried out with precise and appropriate sequences and criteria as well as calculations, the best student selection system with the aim of helping teachers determine the best students and there are no errors. In this design the author uses a web base PHP as the best student selection application and MySQL as a database system.Keywords: Best Santri, Mysql, PHP, SAW
Hubbu Ahmad中心基金会最好的santri选拔过程仍然是不理想的。根据现有数据，选择选择最好的选择santri并得出结论，这是非常无效的，而且定义不准确。采用简单的上瘾称量方法，选择过程是按照正确的顺序、标准和计算进行的，所以这个最好的santri选择系统是为了帮助教师确定最好的santri，而不是错误。在这个设计中，作者使用PHP web base作为最好的santri选择计算应用程序，MySQL作为系统数据库。关键词:最好的Santri, Mysql, PHP, sawabstractbest students流程在Hubbu Ahmad Center Foundation仍然不是最佳学生。那一定processed和数据价值之数量最高results selection》还是《conventional carried out方式由selecting学生改编自existing然后是让这一历史性数据这些学生得到最好的predicate,当然这是这个非常有效和评比之水平是to be少感觉准确。由于一种简单的上瘾上瘾的方法，选举过程被精确地考虑，同时也受到审查和批评。在这个设计中，author uses作为最佳学生选择应用程序和MySQL作为一个数据库。最好的Santri, Mysql, PHP, SAW
{"title":"Metode Simple Additive Weigting dalam Penerapan Sistem Pendukung Keputusan Seleksi Santri Terbaik TPQ Yayasan Hubbu Ahmad Center","authors":"L. Nulhakim, Nanda Fausiyah","doi":"10.26760/mindjournal.v6i2.236-249","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.236-249","url":null,"abstract":"AbstrakProses seleksi santri terbaik pada Yayasan Hubbu Ahmad Center masih belum optimal. Banyaknya data nilai yang harus diolah dan seleksi hasil nilai tertinggi masih dilakukan dengan cara konvesional dengan memilih santri berdasarkan data yang ada kemudian dibuat kesimpulan bahwa santri tersebut mendapat predikat terbaik, tentu hal ini sangat kurang efektif dan tingkat ke akuratan yang dirasa kurang tepat. Dengan metode Simple Additive Weighting (SAW) proses seleksi dilakukan dengan urutan dan kriteria serta perhitungan yang tepat dan sesuai, sehingg sistem seleksi santri terbaik ini dengan tujuan membantu guru dalam menentukan santri terbaik dan tidak terjadi kesalahan. Dalam perancangan ini penulis menggunakan web base PHP sebagai aplikasi perhitungan seleksi santri terbaik dan MySQL sebagai database sistem. Kata kunci: Santri Terbaik, Mysql, PHP, SAWAbstractThe selection process for the best students at the Hubbu Ahmad Center Foundation is still not optimal. The amount of value data that must be processed and the selection of the highest results is still carried out in the conventional way by selecting students based on existing data and then a conclusion is made that these students get the best predicate, of course this is very less effective and the level of accuracy is felt to be less precise. With the Simple Addtive Weighting (SAW) method, the selection process is carried out with precise and appropriate sequences and criteria as well as calculations, the best student selection system with the aim of helping teachers determine the best students and there are no errors. In this design the author uses a web base PHP as the best student selection application and MySQL as a database system.Keywords: Best Santri, Mysql, PHP, SAW","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79207663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.221-235
Jasman Pardede, Muhammad Fauzan Raspati
AbstrakDalam melakukan penelitian obstructive sleep apnea (OSA), polysomnography (PSG) digunakan untuk diagnosis. Namun subjek diharuskan menginap dilaboratorium selama beberapa malam untuk melakukan tes dengan PSG dan karena banyaknya alat yang harus dikenakan pada tubuh dapat membuat tidak nyaman saat pengambilan data. Belakangan ini, beberapa peneliti mengunakan single-lead ECG untuk melakukan deteksi OSA. Untuk menghasilkan model terbaik, akan dilakukan eksperimen training, dengan batch normalization dan dropout yang berbeda. Pada penelitian ini apnea-ecg dataset digunakan, RR-Interval dan amplitudo QRS complex dari released set berjumlah 35 data akan disegmentasi permenit untuk digunakan sebagai input dari arsitektur yang diajukan adalah gated recurrent unit (GRU). Lalu withheld set berjumlah 35 data akan digunakan untuk pengujian per-segment dan per-recording. Kinerja sistem diukur berdasarkan accuracy, sensitifity, dan specificity dengan pengujian per-segment mendapat hasil accuracy 83.92%, sensitifity 81.28%, dan specificity 85.55%, dan pengujian per-recording mendapat hasil accuracy 97.14%, sensitifity 95.65% dan specificity 100%.Kata kunci: Obstructive sleep apnea, GRU, ECG, RR-Interval, QRS complex.AbstractIn conducting obstructive sleep apnea (OSA) studies, polysomnography (PSG) was used for the diagnosis. However, the subject was required to stay in the laboratory for several nights to carry out tests with the PSG and because of the many devices that had to be worn on the body, it could be uncomfortable to collect data. Recently, several researchers have used single-lead ECG to detect OSA. To produce the best model, training experiments will be conducted, with different batch normalization and dropout. In this study, the apnea-ecg dataset is used, the RR-Interval and the QRS complex amplitude from the released set totaling 35 data will be segmented per minute to be used as input for the proposed architecture is the gated recurrent unit (GRU). Then the withheld set of 35 data will be used for per-segment and per-recording testing. System performance was measured based on accuracy, sensitivity, and specificity with per-segment testing getting 83.92% accuracy, 81.28% sensitivity, and 85.55% specificity, and per-recording testing got 97.14% accuracy, 95.65% sensitivity and 100% specificity.Keywords: Obstructive sleep apnea, GRU, ECG, RR-Interval, QRS complex.
分离性睡眠呼吸暂停(OSA)和多导志(PSG)用于诊断。但是受试者需要在实验室里呆上几个晚上，在PSG上做测试，因为大量的设备会让数据检索变得不舒服。最近，一些研究人员使用单导心电图来检测OSA。为了生产最好的模型，将进行训练实验，使用不同的正规性和滴水剂。在本研究中使用的apne- ecg数据集，rr区间和振幅计算的35个数据将以分钟为单位，用于构建相关的架构输入。然后限制组将使用35个数据进行评级和记录测试。系统性能是根据准确、敏感和具体测试达到83.92%、81.28%敏感性和突出程度85.5%，按记录器测试准确达到97% .14%、95.65%敏感和100%。关键词:阻塞性睡眠呼吸暂停、格鲁、心电图、r间隔、QRS复合体。阻塞性睡眠呼吸暂停(OSA)和多导志(PSG)被用于诊断。悬浮，受试者被要求留在实验室几个晚上，带着PSG进行测试，因为必须在身体上使用的许多错误，在收集数据时可能会让人感到不舒服。最近，几个研究人员使用了欧洲线索检测OSA。为了生产最好的模型，培训实验将受到影响，使用不同的常规批次和下降。在这项研究中，应用ext -ecg数据已被使用，rrs参数和QRS参数的振幅每分钟将被缩短35数据将被用于提议架构是一个潜在的回路单位。然后保留的35个数据集将用于片段和录音测试。确定的系统性能是基于83.92%的准确，88.28%的敏感性，85.5%的鉴别，记录测试结果为97%。14%的准确，95%Keywords:阻塞性睡眠呼吸暂停，GRU, ECG, r - range, QRS complex。
{"title":"Gated Recurrent Units dalam Mendeteksi Obstructive Sleep Apnea","authors":"Jasman Pardede, Muhammad Fauzan Raspati","doi":"10.26760/mindjournal.v6i2.221-235","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.221-235","url":null,"abstract":"AbstrakDalam melakukan penelitian obstructive sleep apnea (OSA), polysomnography (PSG) digunakan untuk diagnosis. Namun subjek diharuskan menginap dilaboratorium selama beberapa malam untuk melakukan tes dengan PSG dan karena banyaknya alat yang harus dikenakan pada tubuh dapat membuat tidak nyaman saat pengambilan data. Belakangan ini, beberapa peneliti mengunakan single-lead ECG untuk melakukan deteksi OSA. Untuk menghasilkan model terbaik, akan dilakukan eksperimen training, dengan batch normalization dan dropout yang berbeda. Pada penelitian ini apnea-ecg dataset digunakan, RR-Interval dan amplitudo QRS complex dari released set berjumlah 35 data akan disegmentasi permenit untuk digunakan sebagai input dari arsitektur yang diajukan adalah gated recurrent unit (GRU). Lalu withheld set berjumlah 35 data akan digunakan untuk pengujian per-segment dan per-recording. Kinerja sistem diukur berdasarkan accuracy, sensitifity, dan specificity dengan pengujian per-segment mendapat hasil accuracy 83.92%, sensitifity 81.28%, dan specificity 85.55%, dan pengujian per-recording mendapat hasil accuracy 97.14%, sensitifity 95.65% dan specificity 100%.Kata kunci: Obstructive sleep apnea, GRU, ECG, RR-Interval, QRS complex.AbstractIn conducting obstructive sleep apnea (OSA) studies, polysomnography (PSG) was used for the diagnosis. However, the subject was required to stay in the laboratory for several nights to carry out tests with the PSG and because of the many devices that had to be worn on the body, it could be uncomfortable to collect data. Recently, several researchers have used single-lead ECG to detect OSA. To produce the best model, training experiments will be conducted, with different batch normalization and dropout. In this study, the apnea-ecg dataset is used, the RR-Interval and the QRS complex amplitude from the released set totaling 35 data will be segmented per minute to be used as input for the proposed architecture is the gated recurrent unit (GRU). Then the withheld set of 35 data will be used for per-segment and per-recording testing. System performance was measured based on accuracy, sensitivity, and specificity with per-segment testing getting 83.92% accuracy, 81.28% sensitivity, and 85.55% specificity, and per-recording testing got 97.14% accuracy, 95.65% sensitivity and 100% specificity.Keywords: Obstructive sleep apnea, GRU, ECG, RR-Interval, QRS complex.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85527131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.168-182
Rifqi Rizqullah Eka Prasetyo, M. Ichwan
AbstrakPneumonia merupakan salah satu masalah Kesehatan yang sering dijumpai dan mempunyai dampak yang signifikan di seluruh dunia. Insiden pneumonia dilaporkan meningkat sesuai dengan bertambahnya usia. Pneumonia merupakan diagnosis terbanyak ketiga. Dalam penelitian ini penulis mengidentifikasi citra paru-paru dalam bentuk citra x-ray dengan metode ResNet-50 dan ResNet-152 sebagai ekstrasi ciri dan klasifikasinya. Performa sistem diukur berdasarkan nilai akurasi, presisi, recall, dan f-measure. Eksperimen dilakukan pada dataset paru-paru dengan menggunakan dua metode tersebut dan didapatkan akurasi terbaik pada ResNet-152. Hasil menunjukkan nilai rata-rata terbaik accuracy 89,3%, precision 88,8%, recall 89,6%, dan f-measure 89%. Hasil tersebut dipengaruhi oleh jumlah dataset dari citra training, citra validation, dan citra uji.Kata kunci: Penumonia, Deep Residual Network, RESNET-50, RESNET-152AbstractPneumonia is one of the most common health problems and has a significant impact throughout the world. The incidence of pneumonia is reported to increase with age. Pneumonia is the third most common diagnosis. In this study, the authors identified lung images in the form of x-ray images using the ResNet-50 and ResNet-152 methods as feature extraction and classification. System performance is measured based on the values of accuracy, precision, recall, and f-measure. Experiments were carried out on lung datasets using these two methods and the best accuracy was obtained on ResNet-152. The results show the best average value for accuracy is 89.3%, precision is 88.8%, recall is 89.6%, and f-measure is 89%. These results are influenced by the number of datasets from training images, validation images, and test images.Keywords: Penumonia, Deep Residual Network, RESNET-50, RESNET-152
abstrarak肺炎是一个常见的健康问题，对世界各地都有重大影响。据报道，肺炎事件随着年龄的增长而增加。肺炎是第三大诊断。在本研究中，作者通过ResNet-50和ResNet-152的分类方法，以x光图像的形式识别了肺的图像。系统性能是根据准确性、精度、召回和f-measure值来测量的。在肺的数据集中进行的实验使用了这两种方法，并在ResNet-152上获得了最佳的准确性。结果显示了准确89.3%，准确88.8%，记忆89.6%和f-measure 89%。培训意象、验证意象和测试意象的数据数量影响了研究结果。关键词:人机深度剩余网络，RESNET-50, resnet -152 abstract肺炎是最常见的健康问题之一有关肺炎的指控正在增加年龄。肺炎是第三种最常见的诊断。在这项研究中，当局使用了辐射50和辐射152种手段作为外化和分类。系统表现是基于准确、精确、记忆和f-measure的价值。实验是通过这两种方法和最好的预测来确定的。《best results秀平均价值为3%,高级是88评比是89。8%,召回是89。6%和f-measure是89%。这些results是influenced by datasets当家》从训练图像,validation images和测试图像。音调:音量，剩余网络，RESNET-50, RESNET-152
{"title":"Perbandingan Metode Deep Residual Network 50 dan Deep Residual Network 152 untuk Deteksi Penyakit Pneumonia pada Manusia","authors":"Rifqi Rizqullah Eka Prasetyo, M. Ichwan","doi":"10.26760/mindjournal.v6i2.168-182","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.168-182","url":null,"abstract":"AbstrakPneumonia merupakan salah satu masalah Kesehatan yang sering dijumpai dan mempunyai dampak yang signifikan di seluruh dunia. Insiden pneumonia dilaporkan meningkat sesuai dengan bertambahnya usia. Pneumonia merupakan diagnosis terbanyak ketiga. Dalam penelitian ini penulis mengidentifikasi citra paru-paru dalam bentuk citra x-ray dengan metode ResNet-50 dan ResNet-152 sebagai ekstrasi ciri dan klasifikasinya. Performa sistem diukur berdasarkan nilai akurasi, presisi, recall, dan f-measure. Eksperimen dilakukan pada dataset paru-paru dengan menggunakan dua metode tersebut dan didapatkan akurasi terbaik pada ResNet-152. Hasil menunjukkan nilai rata-rata terbaik accuracy 89,3%, precision 88,8%, recall 89,6%, dan f-measure 89%. Hasil tersebut dipengaruhi oleh jumlah dataset dari citra training, citra validation, dan citra uji.Kata kunci: Penumonia, Deep Residual Network, RESNET-50, RESNET-152AbstractPneumonia is one of the most common health problems and has a significant impact throughout the world. The incidence of pneumonia is reported to increase with age. Pneumonia is the third most common diagnosis. In this study, the authors identified lung images in the form of x-ray images using the ResNet-50 and ResNet-152 methods as feature extraction and classification. System performance is measured based on the values of accuracy, precision, recall, and f-measure. Experiments were carried out on lung datasets using these two methods and the best accuracy was obtained on ResNet-152. The results show the best average value for accuracy is 89.3%, precision is 88.8%, recall is 89.6%, and f-measure is 89%. These results are influenced by the number of datasets from training images, validation images, and test images.Keywords: Penumonia, Deep Residual Network, RESNET-50, RESNET-152","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74198082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.155-167
Siti Yuliyanti, Siti M Sholihah
AbstrakPandemi Covid-19 hampir masuk tahun ke dua di Indonesia, pemerintah terus berupaya menekan laju peningkatan penularan Covid-19 melalui berbagai media. Sosialisasi dan informasi melalui media sosial yang merupakan wadah paling cepat untuk tersampaikan kepada masyarakat. Berbagai istilah digunakan seperti adaptasi kebiasaan baru, social distancing, PSBB sampai PPKM sehingga memicu masyarakat untuk beropini di media sosial. Penelitian ini menganalisis sentiment masyarakat terkait opini peningkatan Covid-19 dari twitter. Klasifikasi tweet menggunakan Naive Bayes dengan penambahan seleksi fitur. Penggunaan confusion matriks untuk mengetahui performance algoritma Naive Bayes. Berdasarkan pengujian, penelitian ini menghasilkan 76% dengan accuracy positif sebesar 72,727%, accuracy negatif sebesar 75% dan accuracy netral sebesar 78,947%. Sehingga disimpulkan penggunaan model klasifikasi Naive Bayes dengan fitur seleksi dapat meningkatkan akurasi.Kata kunci: analisis sentimen, seleksi fitur, twitter crawling, naïve bayes, klasifikasi, emosiAbstractCovid-19 pandemic is almost in its second year in Indonesia, the government continues to try to suppress the rate of increase in the transmission of Covid-19 through various media. Socialization and information through social media which is the fastest medium to be conveyed to the public. Various terms are used, such as adapting new habits, social distancing, PSBB to PPKM, thus triggering the public to share opinions on social media. This study analyzes public sentiment regarding the increasing opinion of Covid-19 from twitter. Tweet classification based on positive, negative and neutral classes using Naive Bayes with feature selection. The use of confusion matrix to determine the performance of the Naive Bayes algorithm. BasedThis Research, the results from the sentiment analysis system using the nave Bayes classifier of 76% with positive accuracy of 72.727%, negative accuracy of 75% and neutral accuracy of 78.947%. So it can be concluded that the use of the Naive Bayes classification model with the selection feature can increase accuracy.Keywords: sentiment analysis, fitur selection twitter crawling, naïve bayes, clasification, emotion
{"title":"Pemodelan Analisis Sentimen Masyarakat terhadap Adaptasi Kebiasaan Baru (AKB) mengunakan Algoritma Naïve Bayes","authors":"Siti Yuliyanti, Siti M Sholihah","doi":"10.26760/mindjournal.v6i2.155-167","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.155-167","url":null,"abstract":"AbstrakPandemi Covid-19 hampir masuk tahun ke dua di Indonesia, pemerintah terus berupaya menekan laju peningkatan penularan Covid-19 melalui berbagai media. Sosialisasi dan informasi melalui media sosial yang merupakan wadah paling cepat untuk tersampaikan kepada masyarakat. Berbagai istilah digunakan seperti adaptasi kebiasaan baru, social distancing, PSBB sampai PPKM sehingga memicu masyarakat untuk beropini di media sosial. Penelitian ini menganalisis sentiment masyarakat terkait opini peningkatan Covid-19 dari twitter. Klasifikasi tweet menggunakan Naive Bayes dengan penambahan seleksi fitur. Penggunaan confusion matriks untuk mengetahui performance algoritma Naive Bayes. Berdasarkan pengujian, penelitian ini menghasilkan 76% dengan accuracy positif sebesar 72,727%, accuracy negatif sebesar 75% dan accuracy netral sebesar 78,947%. Sehingga disimpulkan penggunaan model klasifikasi Naive Bayes dengan fitur seleksi dapat meningkatkan akurasi.Kata kunci: analisis sentimen, seleksi fitur, twitter crawling, naïve bayes, klasifikasi, emosiAbstractCovid-19 pandemic is almost in its second year in Indonesia, the government continues to try to suppress the rate of increase in the transmission of Covid-19 through various media. Socialization and information through social media which is the fastest medium to be conveyed to the public. Various terms are used, such as adapting new habits, social distancing, PSBB to PPKM, thus triggering the public to share opinions on social media. This study analyzes public sentiment regarding the increasing opinion of Covid-19 from twitter. Tweet classification based on positive, negative and neutral classes using Naive Bayes with feature selection. The use of confusion matrix to determine the performance of the Naive Bayes algorithm. BasedThis Research, the results from the sentiment analysis system using the nave Bayes classifier of 76% with positive accuracy of 72.727%, negative accuracy of 75% and neutral accuracy of 78.947%. So it can be concluded that the use of the Naive Bayes classification model with the selection feature can increase accuracy.Keywords: sentiment analysis, fitur selection twitter crawling, naïve bayes, clasification, emotion","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81648626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-02DOI: 10.1080/1751696X.2021.2004343
J. Hunter
Welcome to Time and Mind 14.4, the final issue for 2021 and the end of another strange year for many of us. The theme that has emerged from the papers collected here is a long-running one for our journal, and centres around the role of different modes of perception and other forms of consciousness – human and non-human – in the creation of archaeological and ethnographic sites and artefacts. This issue draws on recent philosophical and empirical developments to explore the implications of an expanded awareness of the role of different forms and modalities of consciousness for archaeological and anthropological theorising about people, art, places and objects. Contributions to this issue include discussions of the role of magical perception in palaeolithic cave art, an effort to rediscover the pre-colonial soundscapes of Swahili coastal towns and an exploration of the possible subjective lives of early medieval swords.
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Pub Date : 2021-10-02DOI: 10.1080/1751696X.2021.1995267
M. Shapland
ABSTRACT Archaeology has become good at using metaphors for the person-like properties of material culture, seeing objects as accruing life-histories and biographies. This paper seeks to further this debate by introducing an old concept – known as panpsychism – which has experienced a resurgence in modern physics. It holds that sentience is a universally distributed property of the material world, meaning that all matter must be, to some extent, conscious. This theory is applied to an existing study of the person-like characteristic of early medieval swords, as a first step in understanding that all of the objects with which we deal may have some quality of consciousness. One implication of this is the seriousness with which archaeologists can afford to take animist beliefs.
{"title":"Material culture and consciousness: a thought experiment","authors":"M. Shapland","doi":"10.1080/1751696X.2021.1995267","DOIUrl":"https://doi.org/10.1080/1751696X.2021.1995267","url":null,"abstract":"ABSTRACT Archaeology has become good at using metaphors for the person-like properties of material culture, seeing objects as accruing life-histories and biographies. This paper seeks to further this debate by introducing an old concept – known as panpsychism – which has experienced a resurgence in modern physics. It holds that sentience is a universally distributed property of the material world, meaning that all matter must be, to some extent, conscious. This theory is applied to an existing study of the person-like characteristic of early medieval swords, as a first step in understanding that all of the objects with which we deal may have some quality of consciousness. One implication of this is the seriousness with which archaeologists can afford to take animist beliefs.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85569592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-23DOI: 10.1080/1751696X.2021.1961047
Monika Baumanova
ABSTRACT This paper aims to open the discussion on the characteristics of the acoustic landscapes in precolonial Swahili towns on the East African coast, where this theme to date remains unstudied. The paper focuses on assessing some aspects of the acoustic experience in the precolonial period of AD 1200–1600 respective to the towns and to coral-rag houses, which represent one type of building recorded on Swahili archaeological sites. Due to the limited preservation of buildings on the East African coast, and the fact that many of them have been deserted under the growing influence of Omani and European colonialism, both experimental and ethnoarchaeological studies could provide only limited information on any aspect of past sensory experience in these towns. Therefore, this paper defines some major characteristics of soundscapes in this region using analyses of the acoustic capacities and spatial dimensions of the Swahili built environment, while reflecting on selected themes that played a strong part in Swahili social environment, such as trade and Islam. The presented case study from sub-Saharan Africa aims to contribute to the global discussions on sensory experience in urban societies, where examples from coastal tropics are acutely needed.
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Pub Date : 2021-08-21DOI: 10.1080/1751696X.2021.1961048
Derek Hodgson
ABSTRACT Perceptual psychology has provided a number of revealing insights into the phenomenon of palaeoart. The value of the discipline is underlined by the fact that it has provided new ways of exploring how Upper Palaeolithic cave art first arose, both on a theoretical and a practical level. Despite this, the approach has been accused of overstating the importance of perceptual factors to the detriment of cultural criteria. In this paper, I demonstrate how perceptual psychology can be exploited to provide useful hypotheses regarding the cultural issues associated with early parietal art.
{"title":"Upper Palaeolithic art as a perceptual search for magical images","authors":"Derek Hodgson","doi":"10.1080/1751696X.2021.1961048","DOIUrl":"https://doi.org/10.1080/1751696X.2021.1961048","url":null,"abstract":"ABSTRACT Perceptual psychology has provided a number of revealing insights into the phenomenon of palaeoart. The value of the discipline is underlined by the fact that it has provided new ways of exploring how Upper Palaeolithic cave art first arose, both on a theoretical and a practical level. Despite this, the approach has been accused of overstating the importance of perceptual factors to the detriment of cultural criteria. In this paper, I demonstrate how perceptual psychology can be exploited to provide useful hypotheses regarding the cultural issues associated with early parietal art.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83320500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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