Forecasting model time series data becomes a process of model use to create prediction (forecast) to an event in the future based on past event which is known as data. The data gives benefit to the interrelatedness among factors that can be the predictor variables. Deep investigation to time series data will give information to find out the data pattern. One of the examples of data series is dengue fever phenomena. Dengue fever is a contagious disease which can become an endemic. The spread of dengue fever needs a particular supervision from related party under the supervision of health department. Dengue fever control is used to avoid the disease to stop spreading. It is done to give important information, so the society can know endemic area from a particular social environment. The research is aimed to do improvisation toward dengue fever surveillance system by conducting a forecast of dengue fever occurrences in a particular area. Forecast technique was conducted with three (3) algorithm approaches. The test of three algorithm forecasting was done to predict dengue fever occurrences in 12 months and to help the activity to control spreading cases of dengue fever to stop spreading in the area of Yogyakarta. Forecast experiment approach from three methods in which linear regression, multilayer perceptron, and sequential minimal optimization regression (SMOreg) showed that linear regression had better accuracy compared to sequential minimal optimization regression (SMOreg) and multilayer perceptron.
Development of prototype at data security through secret messages is needed for disguising the messages sent in smartphone chatting application, WhatsApp (WA) Chat. We propose a model to disguise a plaintext message which is first encrypted by cryptosystem to change the plaintext message to ciphertext. Plaintext or plainimage entering the smartphone system is changed into encrypted text; receiver then can read the message by using similar key with the sender. The weakness of this proposal is the message random system is not planted directly in the chatting application; therefore message removing process from cryptosystem to WA application is still needed. The strength of using this model is the messages sent will not be easily re-encrypted by hacker and can be used at client computing section.
Masalah kekerasan terhadap perempuan dan anak ditinjau dari perspektif individual maupun sosial dapat mengakibatkan efek ganda (multiplier effect). Efek yang ditimbulkan seperti psikologis, kesehatan individu dan kualitas kesehatan masyarakat. Perempuan dan anak dalam kehidupan sehari-hari sering mendapat perlakuan tidak menyenangkan dari orang-orang terdekat maupun orang tidak dikenal. Banyaknya permasalahan perempuan dan anak maka dibentuklah Satuan Tugas penanganan masalah perempuan dan anak (Satgas PPA), baik di tingkat pusat maupun daerah. Metode yang digunakan dalam penelitian ini adalah observasi, interview, diskusi, praktek aplikasi penggunaan aplikasi, pendampingan dan monitoring evaluasi. Subjek dari pelatihan ini adalah satuan tugas Perlindungan dan Perempuan yang berjumlah 15 orang dan tergabung di bawah komando Kepala Desa dan Dinas Sosial Desa Katekan Gantiwarno Klaten Jawa Tengah. Tujuan yang dicapai yaitu penerapan penggunaan aplikasi pengelolaan kegiatan Satgas PPA ini adalah untuk penanganan masalah perempuan dan anak secara nyata di tingkat desa. Hasil dari kegiatan penelitian ini adalah adanya perubahan dalam manajemen pengelolaan dan pelaporan kegiatan satuan tugas Perlindungan Anak dan Perempuan yang dibuktikan dengan penggunaan aplikasi web digunakan dan berdasarkan survei terjadi peningkatan kemudahan dan kepraktisan 85% dari pengelolaan dan pelaporan sebelumnya. Selain itu baik satgas, Kepala Desa dan Dinas Sosial dapat memantau laporan tindak lanjut dan rekapitulasi kegiatan yang menjadi prioritas untuk penyelesaian masalah perempuan dan anak.
The spread of dengue hemorrhagic fever (DHF) globally with a frequency level that tends to be high in the past 50 years raises a systematic idea of prevention. One of the efforts to prevent DHF is the need for early identification of areas that are potentially epidemic. Early identification is carried out by getting an overview of the incident one step ahead by data forecasting. The focus of the study was the development of area stratification algorithms as an early identification of DHF outbreak areas by using data forecasting methods with surveillance data variables. Surveillance data which became the references for system modeling were DHF case data, rainfall, humidity, air temperature, wind speed and Larva-free Number (ABJ) for the span of 2010-2016 in 17 districts in Sleman Regency, Special Region of Yogyakarta. There were four steps during the study, i.e., 1) Forecasting of DHF case for the period of 12 months, 2) Forecasting of Larva-free Number (ABJ), 3) Determination of DHF case pattern for the last three years and the average of ABJ in the third year and 4) Area classification into stratification class. A method used for data forecasting of DHF case was seasonal autoregressive moving average (SARIMA), and the determination of area class pattern was conducted by using a neural network, meanwhile to obtain area stratification class used rule-based approach referring to guidelines controlling DHF outbreaks of the Ministry of Health of the Republic of Indonesia. Early identification was carried out by dividing into 4 area classes. Area class target included endemic (K1), sporadic (K2), a potential (K3) and free (K4). The testing of accuracy forecasting used relative mean absolute error (RMAE) for 12 months period. The results of the forecasting accuracy test on 17 districts in Sleman Regency showed RMAE average of 1.46 was considered low for it was still below 10%. Furthermore, the results of the early identification of area stratification classes in 2014 and 2015 from 17 districts showed that 3 of the four regions were endemic areas while in 2016 almost all districts were endemic areas and only one area was classified as sporadic.
Yogyakarta was one of Indonesian tourist destinations that had potentials from its art and cultural interest. This was indeed supported mode development that was also one of art-cultural forms. Along with the era development, it was established a mode appreciation in Yogyakarta namely a boutique. The intense of boutiques in Yogyakarta had become various modes created so that it sometimes made customers had difficulties to determine which boutique to visit. This kind of condition was not effective towards time, cost and employees. Therefore, it needed a technology that was able to help customers in selecting boutiques. The study was designed and built using the Android mobile operating system is a variant of a mobile operating system developed from the Linux operating system. Android has a location-based service location-based service that is used to display and manipulate maps. Technology location based services using android smartphone media can create applications that are useful in the selection of modes available in every boutique and facilitate the search location by using maps and routes that connect to the google map service. The results of this study are based apps location-based service boutique android for the selection of boutique and can help facilitate in finding boutique location information.
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