The agricultural sector plays an essential role in economic growth in Indonesia. It can see from the grouping of economic activities. In the grouping of economic activities, the agricultural sector is classified in the primary sector. Determination of proper maturity at harvest is essential to get good quality fruit. Overripe fruits tend to be softer and more chewy and produce a bland taste. This research aims to assist papaya farmers in recognizing the maturity level of papaya so that they can effectively determine the maturity level of the papaya fruit. The method used in this research is the K-Nearest Neighbor method. The success rate of identification of papaya fruit maturity obtained using the K-Nearest Neighbor learning method with a success rate of 100%. From the identification results obtained, produce two outputs that are 100% unripe and 100% ripe.
The rapid development of computer technology has had a significant influence on advances in medical science. This development concerns segmenting medical images that can be used to help doctors diagnose patient diseases. The boundary between objects contained in an image is captured using the level set function. The equation of the level set function is solved numerically by combining the Lattice Boltzmann (LBM) method and fuzzy clustering. Parallel processing using a graphical processing unit (GPU) accelerates the execution of the segmentation process. The results showed that image segmentation with a relatively large size could be done quickly. The use of parallel programming with the GPU can accelerate up to 39.22 times compared to the speed of serial programming with the CPU. In addition, the comparisons with other research and benchmark data show consistent results.
Pemberian pelayanan kepada pelanggan dapat dilakukan dengan memanfaatkan kemajuan teknologi informasi. Hal ini bertujuan untuk memberikan kepuasan kepada pelanggan. Salah satu organisasi yang berhubungan dengan bagian pelayanan adalah perpustakaan. Studi kasus dalam paper ini dilakukan pada perpustakaan Universitas Atma Jaya Yogjakarta (UAJY). Perpustakaan Universitas Atma Jaya Yogjakarta telah memanfaatkan kemajuan teknologi untuk meningkatkan pelayanan terhadap pengunjung. Kemajuan teknologi juga dimanfaatkan oleh staf perpustakaan Universitas Atma Jaya Yogjakarta untuk proses monotoring dan evaluasi. Oleh karena itu penulis ingin mengukur kualitas layanan teknologi informasi di perpustakaan Universitas Atma Jaya Yogjakarta. Tujuan yang ingin dicapai adalah mengetahui kualitas layanan teknologi informasi pada perpustakaan Universitas Atma Jaya Yogjakarta melalui pemberian level dari level 0 hingga level 5. Penulis melakukan proses pengukuran kualitas layanan teknologi informasi mengunakan framework Information Technology Infrastructure Library (ITIL) V3. Hal ini dikarenakan framework ITIL memiliki manfaat dan kelebihan dalam melakukan proses pengukuran tingkat kualitas layanan teknologi informasi. Teknik pengumpulan data menggunakan kuisoner. Berdasarkan pengukuran tingkat kualitas layanan teknologi informasi menggunakan framework ITIL V3, layanan teknologi informasi pada perpustakaan Universitas Atma Jaya Yogjakarta masuk pada level 3 yaitu, prosedur dan instruksi pekerjaan telah distandarisasikan dan didokumentasikan.
Almost all fields of life need Banknote. Even particular fields of life require banknotes in large quantities such as banks, transportation companies, and casinos. Therefore Banknotes are an essential component in carrying out all activities every day, especially those related to finance. Through technological advancements such as scanners and copy machine, it can provide the opportunity for anyone to commit a crime. The crime is like a counterfeit banknote. Many people still find it difficult to distinguish between a genuine banknote and counterfeit Banknote, that is because counterfeit Banknote produced have a high degree of resemblance to the genuine Banknote. Based on that background, authors want to do a classification process to distinguish between genuine Banknote and counterfeit Banknote. The classification process use methods Supervised Learning and compares the level of accuracy based on the distribution of training data. The methods of supervised Learning used are Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), and Naïve Bayes. K-NN method is a method that has the highest specificity, sensitivity, and accuracy of the three methods used by the authors both in the training data of 30%, 50%, and 80%. Where in the training data 30% and 50% value specificity: 0.99, sensitivity: 1.00, accuracy: 0.99. While the 80% training data value specificity: 1.00, sensitivity: 1.00, accuracy: 1.00. This means that the distribution of training data influences the performance of the Supervised Machine Learning algorithm. In the KNN method, the greater the training data, the better the accuracy.
Some areas in Indonesia often lack clean water even occur drought if the dry season strikes. However, several other regions of Indonesia have pure water abundance despite the dry season. Based on this problem, the authors aimed to design a mobile application of a smart water supply chain based on the Internet of Things (IoT) for admin and users. The app was Control Your Water (C_Water) application. The app developed aimed not only to detect water shortage quickly but also to accommodate online water purchasing. By installing sensors in the water reservoirs, the admin could find out the supply of clean water in the tanks. Information had obtained from the sensor will go to Microcontroller, then the Microcontroller will send it to the database via Wifi. The mobile application displayed information based on data in the database. The authors proposed a data backup process to prevent data loss. The authors designed a water reservoir consisting of positions of ultrasonic sensors and a division of water level. The result of this research finds that this design helps the government (admin) to overcome the problem of real water shortages that occur in Indonesia.
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