In Mathematics, Forecasting is scientific. Forecasting uses statistical techniques to describe the future using previous data. Based on North Sumatra BPS data, the number of foreign tourists coming to North Sumatra fluctuates. Therefore, forecasting the number of foreign tourism needs to be done so that tourism actors can prepare themselves. The purpose of this study is to compare time series forecasting methods, namely Double Moving Average (DMA) and Double Exponential Smoothing (DES). Then the number of tourists is predicted using the best method, the method with the smallest MAPE. The research data in the form of secondary data obtained from BPS as many as 108 data, from January 2010 to December 2018. The calculation process uses Ms. Excel. The results showed that the 12th time order on DMA had the smallest MAPE value, which was 14.12%. Whereas the DES Brown method with and DES Holt yielding MAPE values respectively 12.71% and 12.21%. Forecasting the number of foreign tourists coming to North Sumatra in 2019 using the DES Holt method.
merupakan salah satu pemukiman padat penduduk yang berada pusat kota dengan tingkat pendapatan masyarakat menengah ke bawah. Lebih dari 70% masyarakatnya berprofesi sebagai buruh harian lepas dan membuka usaha konvesi skala kecil-menengah. Namun, akibat adanya wabah Covid-19 banyak warga yang tidak mempunyai pekerjaan dan tidak mampu memenuhi kebutuhan hidup keluarganya selain mengandalkan bantuan dari pemerintah untuk bertahan hidup. Penerapan budikdamber sebagai pengembangan sistem akuaponik diharapkan mampu menjadi solusi ketahanan pangan bagi warga yang kesusahan untuk memenuhi kebutuhan hidup keluarga. Kegiatan dimulai dengan sosialisasi dengan cara menyampaikan materi tentang budikdamber yang akan diikuti oleh warga yang terkena dampak Covid-19. Metode yang dilakukan ialah dengan cara demonstrasi mengenai budikdamber yang di damping oleh tim dosen dan mahasiswa serta akan meyerahkan rakitan budikdamber beserta bibit sayuran dan ikan lele. Peserta sangat senang dengan adaya kegiatan ini, berdasarkan wawancara singkat yang dilakukan mereka mengatakan mendapat ilmu dan keterampilan dalam menyiapkan media tanam ikan lele dan sayur kangkung. Antusiasme tersebut juga terlihat dari jalannya pelaksanaan progam yang cukup interaktif antara warga dan pemateri. Panen ikan lele pertama kali sekitar lima ember dan setiap embernya ada kurang lebih 20-30 ekor dengan berat 1-2 kg setiap embernya. Pada bulan ketiga panen lele diperoleh dengan berat 3,8 kg dengan jumlah ikan 30 ekor. Sementara Sayuran kangkung bisa dipanen maksimal dua minggu sekali.
This study aims to determine the extraction of GLCM texture features, shape morphology and moment invariant features on the leaf image of medicinal plants and determine the accuracy of plant recognition based on these three features by using Artificial Neural Network Classifiers. The procedure performed to classify medicinal plants based on their leaf image is image acquisition, image pre-processing, feature extraction, image classification and calculating the accuracy of test results. The introduction had tested for ten Indonesian medicinal plant samples, namely: Bangun-Bangun, Binahong, Jarak, Kemuning, Mangkokan, Mengkudu, Pegagan, Sambiloto, Sambung Nyawa, and Sirih. Based on the test results, obtained 97% accuracy with GLCM features, 69% with Shape Morphological features, 86% with GLCM and Shape Morphological features and 79% with moment invariant features.
The government released policies, colleges, and universities implementing teaching and learning activities from home to minimize the spread of Covid 19. The learning process is undertaken online and focuses on knowledge of life skills. MOOCs come as a distance learning system capable of covering the needs to be accomplished with life skills. MOOCs are online learning systems that can be accessed through the internet network to allow learners to perform teaching and learning activities that are not constrained by time and space. This study produces a system of MOOCs that is designed with CMS WordPress using HTML and PHP and database with a Waterfall architecture model using MySQL. Quality testing of ISO 9126 standard based applications with 4 functions. For the precision and suitability sub-features, 100% feasibility level is displayed, it is declared safe from malware, blacklisting of the website, etc. for the device’s security sub-features. The device can work well with 5 concurrent users, with an average time of 20 seconds and a performance rate of 99.78 % access. The system is considered feasible. 100% feasibility and usability level indicate very clear understanding of 84% feasibility level, meaning that the method is well accepted and easily understood by users.
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