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    Farza Terkejut ketika Bermain

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    Burung Gagak Tidak Boleh Dimakan

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    Kenapa Hidung Kita Ingusan?

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    Pemodelan Bioekonomi Perikanan Multi-Spesies

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    Buku ini disusun untuk memperkaya referensi Berbahasa Indonesia mengenai pemodelan bioekonomi, khususnya pemodelan bioekonomi perikanan multi-spesies. Peraian Indonesia yang berada di wilayah tropis dikenal memiliki kekayaan beragam spesies sumberdaya ikan. Indonesia juga dikenal sebagai negara kepulauan terbesar di dunia dengan kekayaan ekosistem terumbu karang dan dikenal sebagai negara mega biodiversitas karena sangat tingginya kekayaan biodiversitas di perairan Indonesia. Oleh karena itu, pemodelan bioekonomi dengan asumsi spesies tunggal (single-species), termasuk Model Gordon-Schaefer dan Model Fox, relatif tidak cocok jika diterapkan pada kasus perairan Indonesia. Pemodelan bioekonomi multi-species menjadi salah satu jawaban akan kelemahan pemodelan bioekonomi single-species. Tim penyusun buku ini mengucap syukur kepada Allah yang maha kasih karena atas anugerah dan rahmat Allah, maka buku ini dapat terselesaikan. Tim penyusun juga berterima kasih kepada Direktorat Riset dan Pengabdian Masyakarat-Kementerian Riset dan Teknologi yang telah mendanai penelitian kami terkait pemodelan bioekonomi multi-spesies dengan kasus perikanan tangkap Jawa Tengah. Harapan kami, buku ini bermanfaat bagi mahasiswa, peneliti, akademisi maupun para pemangku kepentingan perikanan tangkap lainny

    MULTIMOORA METHOD BASED ON HESITANT FUZZY SETS FOR SOLVING MULTI-CRITERIA GROUP DECISION MAKING PROBLEMS

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    MULTIMOORA method consists of three parts, namely the Ratio System, Reference Point, and Full Multiplication Form. This method can be used in solving Multi-criteria Group Decision Making (MCGDM) problems. In decision making, often decision-makers cannot formulate their evaluation on alternatif relationships and criteria. Decision-makers can use Hesitant Fuzzy Sets as a solution to the problem where HFS can accommodate the uncertainty between several different values. This final project discusses the development of the MULTIMOORA method based on HFS by defining a new score function and distance measure for HFS based on The Power Average operator. A simulated case study on the selection of Green Suppliers found that MVG Food marketing company Sdn Bhd is the best choice. Keywords : MULTIMOORA method, Hesitant Fuzzy Sets, Power Average Operator, MCGD

    STABILITY ANALYSIS OF DYNAMIC MODEL OF THE SPREAD CORONA VIRUS WITH THE CROWD IMPACT

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    The disease caused by SARS-CoV-2 has became pandemic that must be considered in order to control its spread. This thesis discusses about implementation of the Covid-19 virus spread model with the impact of crowd. Covid-19 virus can transmitted between humans through mouth or nose when infected individuals sneezes, coughs, or talks. So that, contact between individuals in population cause the spread of Covid-19 infection. Dynamic model of Covid-19 virus infection in this thesis consist of five variables: Susceptible (S), Traced (T), Quarantine (Q), Infected (I), and Recovery (R). Also this model consist of nonlinear differential system. The results of the analysis obtained are two equilibrium points, called disease-free equilibrium point and endemic equilibrium point. Analysis of stability at the equilibrium points are determined by basic reproduction number (R0) where is the value of basic reproduction number in this case is R0>1. It means this dynamic model is asymtotically stable in endemic equilibrium point. Numerical simulation is provided to explain the behavior of the system and to understand the impact of the crowd on the spread of Covid-19 virus in a population. Keywords : Covid-19, Crowd Impact, Dynamic Model, Local and Global Stabilit

    Fuzzy Time Series Markov Chain Forecasting Using Average Based Partition Interval on Seasonal Patterned Data

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    Fuzzy time series Markov chain is a forecasting method by combining concepts fuzzy and Markov chains for time series data. Forecasting with this method uses interval partitioning on the universe of speech to form a set fuzzy. Interval partitioning can affect forecasting accuracy so that the universe set is partitioned using an average based which is an interval partitioning method based on the average approach. Fuzzy time series Markov chain with interval partition average based can be used for forecasting seasonal patterned data. By looking at and taking into account the period seasonal formed, it can affect the accuracy of forecasting. The solution of this method is obtained by fuzzifying historical data into sets fuzzy formed based on interval partitioning, determining relations fuzzy based on the period seasonal formed on ACF and PACF plots, forming relation groups fuzzy based on the same current state. Then calculate the forecast value based on the transition matrix, calculate the adjustment value so that the final forecasting result is obtained. From the calculation of the forecasting method fuzzy time series Markov chain with interval partitions average based on patterned data on case study Sydney’s average maximum temperature in 2011- 2020, it seasonal gives very good results based on the AFER and MSE value categories. Keywords: Forecasting, Fuzzy time series, Markov chain, Average based, Seasonal, ACF, PACF

    TEOREMA SYLOW PADA STRUKTUR ALJABAR GRUP

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    Teorema Lagrange adalah salah satu teorema penting dalam teori grup yang menyatakan bahwa orde dari sembarang subgrup dari suatu grup membagi orde dari grup tersebut. Converse (kebalikan) dari Teorema Lagrange menyatakan bahwa suatu grup tidak harus mempunyai subgrup yang berorde sembarang bilangan jika bilangan tersebut membagi orde dari grup. Converse (kebalikan) dari Teorema Lagrange tidak dapat menjamin keberadaan suatu subgrup di dalam grup. Teorema yang dapat menjamin keberadaan subgrup tersebut adalah Teorema Sylow. Tugas Akhir ini menjelaskan tentang Teorema Sylow yang menyatakan jika terdapat perpangkatan bilangan prima yang membagi orde grup, maka grup tersebut dipastikan mempunyai subgrup berode perpangkatan bilangan prima. Pada pembahasan mengenai Teorema Sylow dalam tugas akhir ini digunakan konsep dari aksi grup, yaitu orbit, stabilizer, fix, dan normalizer

    OPERATOR LINEAR TAK TERBATAS PADA RUANG HILBERT

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    Dalam skripsi ini dibahas definisi dan karakteristik operator linear tak terbatas pada ruang Hilbert. Pendefinisian dan pembahasan karakteristik didasari pembahasan mengenai pemetaan liniear kontinu. Contoh-contoh yang diberikan berdasarkan pada pembahasan ruang , -. Lebih lanjut dibahas tentang resolvent dan spektrum operator linear tak terbatas pada ruang Hilbert. Kata kunci Operator linear tak terbatas, Resolvent, Spektrum, Ruang Hilbert

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