33 research outputs found
Sistem Keamanan Aktivitas Komputer Anak Berbasis Opensource
Get PDF Technological developments at the present time is very rapid, starting from local access to be able to access information of the world. But behind it all the time management in the use of computers should be is arranged, especially in children. Parents must be responsible and can adjust their schedules, especially in scheduling use of a home computer. So that use can be controlled schedule and could make children more independent and disciplined. Designing an application form Parental Control can minimize the child in excessive computer use
KEAMANAN WEB SERVER MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN VB NET
Get PDFSeiring perkembangan teknologi yang semakin canggih, kebutuhan manusia akanteknologi semakin besar. Peran teknologi saat ini sangat memungkinkan untuk dimanfaatkandalam aktifitas penyebaran informasi, teknologi ilmu pengetahuan dapat ditransformasikanmenjadi suatu solusi yang efisien dalam mengatasi terlambatnya informasi disampaikan kepadayang bersangkutan. Dengan sekolah yang mempunyai website akan mampu menyebarkaninformasi dengan cepat kepada muridnya. Dengan demikian pembelajaran maupun penyebaraninformasi dalam aktifitas belajar mengajar menjadi lebih efektif
ANALISIS FIREWALL DEMILITARIZED ZONE DAN SWITCH PORT SECURITY PADA JARINGAN UNIVERSITAS PUTRA INDONESIA YPTK
Get PDFPerkembangan teknologi informasi semakin pesat, hal ini dapat membantu semua aspek pekerjaan manusia dalam mengolah dan mendapatkan suatu informasi. Pada sisi positif memudahakan pekerjaan manusia, tetapi pada sisi lain dari aspek keamanan sangat mengancam privasi manusia dalam mengolah dan mendapatkan suatu informasi. Teknik-teknik sistem keamanan jaringan dan pencegahan terhadap serangan pada sistem informasi perlu dikembangkan sehingga integrity, availability dan confidentiality. Salah satunya adalah dengan cara membangun sistem keamanan jaringan dan sistem pencegahan serangan. Pada penelitian ini melakukan analisa sistem keamanan jaringan komputer menggunakan firewall Demiliteralized Zone (DMZ) dengan menggunakan IPtables yang merupakan standar dari system Linux dan Switch Port Security (SPS). Pemanfaatan dengan memadukan kedua teknologi ini untuk mencapai tingkat keamanan yang maksimum dan mampu mem-block usaha penyerangan intruder dengan berbagai serangan yang terindentifikasi
PADANG FOOD IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK (CNN)
Get PDFThe recognition of Padang traditional foods presents a challenge because of their high visual similarity, which makes manual classification difficult. This study aims to develop an automatic image classification model for Padang foods using the Convolutional Neural Network (CNN) algorithm. The dataset consisted of 1350 images across nine classes of Padang dishes including omelet, chili egg, cow tendon curry, stuffed intestine curry, fish curry, dendeng batokok, rendang, ayam pop, and fried chicken. The CNN architecture was trained for twenty epochs and evaluated using accuracy, loss, confusion matrix, and testing with new images. The results show that the model reached a final training accuracy of 70.2 percent and a validation accuracy of 65 percent, while testing with unseen images produced correct predictions with moderate confidence levels. These findings suggest that CNN is effective for classifying Padang traditional foods and can be applied in culinary promotion, digital food catalogs, and technology based ordering platforms
Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image
No full textMastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.
Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions
Automated model for identification on mastoid of temporal bone image
Get PDFMastoiditis occurs due to inflammation that can affect the structure of the mastoid bone. The mastoid bone consists of the mastoid air cell system (MACS) which protects the ear structures and regulates air pressure in the ear and has different sizes and characteristics, making it very difficult to identify precisely. This study aims to identify and find the right MACS size by developing an automatic identification model and obtaining the optimal threshold value in the segmentation process using the extended adaptive threshold (eAT) method. The research dataset uses computed tomography (CT)-scan images of 308 slices of 12 patients indicated for mastoiditis. The results of this study provide identification that has the right MACS accuracy and size. Overall, the optimal segmentation process obtained the smallest threshold value of 57 and the largest threshold value of 63, the smallest MACS size is 4.025 cm2 and the largest is 8.816 cm2 with an accuracy rate of 93.4%. The smaller MACS size indicates inflammation in the mastoid area and these patients require more intensive treatment
Machine Learning Analisis Klasifikasi dalam Penentuan Status Gizi Anak
No full textMalnutrition is one of the problems that occurs in children due to a lack of nutritional intake. Indonesia contributed 36%, making it the fifth country with the largest cases of malnutrition in the world. On this basis, a solution is needed to reduce the growth rate of malnutrition cases. This research aims to carry out classification analysis to determine nutritional status by optimizing machine learning (ML) performance. The ML classification analysis process will later utilize the performance of the artificial neural network (ANN) method with the Multilayer Perceptron (MLP) algorithm. ML performance can be optimized using the Pearson’s correlation (PC) method to produce optimal classification analysis patterns. This research data set uses child nutrition case data from 576 patients sourced from the M. Djamil Padang Province Regional General Hospital (RSUP). The data set is divided into 417 training data and 159 test data. On the basis of the tests that have been carried out, the performance of the PC method can provide precise and accurate analysis patterns. This analysis pattern has also been able to provide a fairly good level of accuracy, namely 95%. Not only that, this research is also able to present analysis patterns with the best ANN architectural model in classifying nutritional status. Based on the overall results, this research can be used as an alternative solution to the treatment of nutritional problems in children.Gizi buruk merupakan salah satu permasalahan yang terjadi pada kalangan anak-anak yang diakibatkan oleh faktor kurangnya asupan gizi. Fakta yang terjadi bahwa Indonesia telah menyumbang angka 36% dengan menjadikan negara peringkat ke lima dengan kasus malnutrisi terbesar di dunia. Berdasarkan hal tersebut maka dibutuhkan sebuah solusi dalam menekan laju angka pertumbuhan kasus gizi buruk. Penelitian ini bertujuan untuk melakukan analisis klasifikasi penentuan status gizi dengan menggunakan Artificial Neural Network (ANN). Proses analisis klasifikasi ANN nantinya akan memanfaatkan performa kinerja algoritma Multilayer Perceptron (MLP) yang di optimalkan dengan metode Pearson Correlation (PC) untuk menghasilkan keluaran optimal. Pada dasarnya metode PC mampu memberikan peran aktif dalam mengukur kinerja analisis Machine Learning (ML). Adapun dataset penelitian ini menggunakan data kasus gizi anak yang terjadi pada periode tahun sebelumnya. Dataset tersebut bersumber dari Rumah Sakit Umum Propinsi (RSUP) M. Djamil Padang. Berdasarkan pengujian yang telah dilakukan bahwa kinerja metode PC pada proses klasifikasi ANN mampu menyajikan pola analisis yang tepat dan akurat. Pola analisis tersebut juga telah mampu memberikan tingkat akurasi yang cukup baik sebesar 95%. Tidak hanya itu, penelitian ini juga mampu menyajikan pola analisis dengan model arsitektur ANN terbaik dalam klasifikasi status gizi. Berdasarkan keseluruhan hasil, maka penelitian ini dapat dijadikan sebuah solusi alternatif dalam penanganan masalah kasus gizi pada anak. Dengan hasil tersebut maka penelitian ini juga berkontribusi bagi Dinas Kesehatan Provinsi Sumatera Barat dalam menekan angka kasus gizi buruk yang terjadi pada periode tahun berikutnya
PENGENALAN WEB DESAIN KEPADA SANTRI RAHMATAN LIL’ALAMIN INTERNATIONAL ISLAMIC BOARDING (RLA IIBS) ARIPAN KABUPATEN SOLOK
Get PDFPemanfaatan komputer saat ini cukup beragam mulai sebagai alat bantu dalam menyelesaikan suatu pekerjaan sampai mengolah data hasil penelitian maupun untuk mengoperasikan program-program penyelesaian problem-problem ilmiah, industri dan bisinis. Seperti misalnya website yang digunakan untuk melihat informasi serta memberikan kemudahan dalam mengerjakan suatu pekerjaan. Pada zaman sekarang ini hampir semua kantor sudah memanfaatkan komputer dalam menunjang pekerjaan, tetapi masih sangat banyak yang belum tau bagaimana cara memanfaatkan teknologi komputer tersebut dengan benar dan maksimal. Oleh karena ini pada objek pengabdian masyarakat yang akan dilakukan adalah bertujuan untuk memberikan pengtahuan teknologi komputer khususnya web desain untuk memberikan pengetahuan kepada Santri RLA IIBS Aripan Kab. Solok. Di dalam laporan ini akan dipaparkan mengenai kegiatan pengabdian kepada masyarakat khususnya di Rahmatan Lil Alamin Boarding School (RLA-IIBS) dalam rangka memberikan pengarahan kepada siswa mengenai Pengenalan web desain sehingga proses pembelajaran akan lebih menarik dan materi yang disampaikan guru akan lebih mudah diterima oleh santri
Determination of children's nutritional status with machine learning classification analysis approach
Get PDFMalnutrition is a problem that is often faced by every country around the world. Various facts show that malnutrition is of particular concern to many researchers. To can overcome this problem, every effort has been made such as developing analytical models in identification, classification, and prediction. This study aims to determine the nutritional status of children using the machine learning (ML) classification analysis approach. The methods used in the ML analysis process consist of cluster K-Means, artificial neural network (ANN), sum square error (SSE), pearson correlation (PC), and decision tree (DT). The dataset for this study uses data on child nutrition cases that occurred in the previous and was sourced from the provincial general hospital (RSUP) M. Djamil, Padang, West Sumatera. Based on the research presented, ML performance in the nutritional status classification analysis gave maximum results. These results are reported based on the level of precision with an accuracy of 99.23%. The results of the analysis can also present a knowledge-based nutritional status classification. This research can contribute to and update the analytical model in determining nutritional status. The results of this study can also provide benefits in handling nutritional status problems that occur in children
Penerapan Metode Simple Additive Sistem (Saw) Pendukung Keputusan Seleksi Penerima Beasiswa Pada Smk N 5 Padang
Get PDFIn an institution or organization especially education, would be required a system to support the decision. There is a possibility decision system is also carried out concerned by the levels in the organization. The decision support systems application has designed to help the school management determine to select the students are eligible to receive a scholarship. That's why using a decision support system admission scholarship at the Vocational High School 5 Padang using SAW (Simple Addiitive weighting) method. The method of calculation are going by manually first, then maded a computerized using a web-based application. With hoping this system is expected to reduce the occurrence of errors in the selection of students to get the scholarships of the schools proposed format.
Keyword : Scholarship, Simple Addiitive weighting, Decision Support System
