Application of intelligent system technology can help human work, especially in this case to support oyster mushroom (Pleurotus ostreatus) cultivation. In mushroom treatment, it needs to water this mushroom periodically using clean water to keep the humidity and temperature suitable. Oyster mushroom can grow and develop with temperature in range 15 to 30 degree Celcius and relative humidity in range 80 to 90 percent's. Farmer's still water mushrooms manually depending on their feeling. The proposed system utilizes Fuzzy Logic to control temperature and humidity as parameter inputs by spraying waters in some duration as output in fuzzy logic. This system as well can monitor those parameters and send them to server computer periodically and do spraying from smartphone that is connected to this server by Internet of Things technology.
The main problem in composite materials based on polymer arises when receiving dynamic loads resulting in initial cracks that continue to propagate. When crack on the metal, it can be connected by welding. Also, when a crack on concrete can be reconnected by grouting. While when crack in composite materials based on polymer, there is no special way to deal with cracks so far. The purpose of this research is to reconnect the composite materials based on polymer which has cracked and do the impact test (ASTM D6110-04 standard) is carried out to determine the impact strength and the amount of energy to break, tensile strength test, and observe the structure using Scanning Electron Microscopy (SEM). The highest of impact strength and the amount of energy to break, and tensile strength in sample A is 50% resin + 1% catalyst + 19% calcium carbonate + 25% fine fiber + 5% roving fiber, with an impact strength value of 23.89 Joules / mm2 and a large amount of energy to break 130.67 Joules, and value of tensile strength is 7.22 kgf/mm2. While observed microstructure by using SEM shows the crack that happened is brittle.
Kepakaran penulis adalah bidang Materials Science and Engineering yang hingga saat ini selain terus melakukan penelitian khususnya tentang bahan/material, juga sebagai Reviewer untuk bidang-bidang material dan lainnya. Ini buku ke tiga penulis sebagai penulis utama dengan judul Buku Ajar: Pengetahuan Bahan Teknik. Buku ini merupakan buku pegangan bagi mahasiswa Fakultas Teknik, Fakultas Matematika dan Ilmu Pengetahuan Alam, dan mahasiswa Politeknik pada umumnya. Pembuatan buku dimaksudkan juga untuk menambah tersedianya buku di Indonesia karena buku sejenis ini tidak banyak di dapat di Indonesia. Buku ini disusun dengan mengambil berbagai sumber referensi yang sangat bagus juga didukung oleh pengalaman penulis mengajar mata kuliah Pengetahuan Bahan Teknik selama hampir kurang 18 tahun serta dilengkapi dengan serangkaian penelitian yang dilakukan selama ini. Penulis sangat berharap agar buku ini dapat membantu mahasiswa dalam memahami, menyusun, mengembangkan pengetahuan mereka tentang teori maupun aplikasi dari material komposit.
Multiple intelligence is intelligence possessed by every human being, among these intelligences are linguistic intelligence, musical intelligence, naturalist intelligence, visual-spatial intelligence, logic-mathematical intelligence, interpersonal intelligence, intrapersonal intelligence, and kinesthesis intelligence. Various methods are carried out by researchers to find out intelligence such as through numbers, images, music, words, physical and social-emotional activities. The purpose of this study is to decide and classify student intelligence based on multiple intelligence. The method used is Weighted Product (WP), Analytic Hierarchy Process (AHP) Simple Additive Weighting Method (SAW), ELimination Et Choix TRADITIONAL REAL (ELECTRE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The four methods are a method that is in MADM and there have been many studies related to that method but no one has examined the determination of multiple intelligence related to these four methods. The results of the Weighted Product method calculation have the highest preference value 0.189261912 namely Verbal-Linguistic Intelligence, Analytical Hierarchy Process Method has the highest preference value 0.294117647 Verbal-Linguistic Intelligence, Simple Additive Weighting method has the highest preference value 0.677316667 verbal-Linguistic Intelligence and Technique for Order Preference by Similarity to Ideal Solution method has the highest value 0.679314281 Verbal-Linguistic Intelligence.
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