Jurnal Online Universitas Muhammadiyah Purwokerto
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    Optimization Of process parameters for microbial cellulose production from rice-washing wastewater (NATA-DE-LERI) By Acetobacter Xylinum

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    Nata is a bacterial cellulose obtained from the fermentation of Acetobacter xylinum. It is often found in desserts as a health supplement because of its high fiber content. It is not only produced from coconut water, known as nata-de-coco but can also be produced from other sources, such as wastewater from rice washing, called nata-de-leri. This study aimed to optimize the parameters of bacterial cellulose (nata-de-leri) fermentation by statistical methods to improve production. First, the Placket-Burman Screening Design was applied to address the essential parameter components affecting nata-de-leri production. Eight factors are continuously checked, and unimportant elements are removed to obtain a smaller, more manageable set of characteristics. Second, a feedback surface method using Central Composite Design (CCD) was used to determine the optimal level of fermentation parameters using yield response. The results of this study show that sucrose concentration, CO(NH2)2 concentration, inoculum concentration and fermentation time are believed to be the main factors for nata production. The estimated optimal values nata-de-leri production when using 500 ml of rince washing wastewater are as follows: sucrose is 17.5 g; CO(NH2)2 is 12 g; volume of starter is 60 ml; fermentation time for 12 days. This results in a yield of 97.20%. From this study, the optimum yield in nata-de-leri is 20% larger than the baseline parameter

    Sentiment Analysis of the Public Towards the Kanjuruhan Tragedy with the Support Vector Machine Method

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    A tragedy occurred in the Indonesian football world during the Arema vs. Persebaya match on October 1, 2022, resulting in the loss of approximately 714 lives, including 131 fatalities and 583 injuries. The tragedy is believed to have been caused by tear gas in the spectator stands and the closure of exits at the Kanjuruhan stadium. This event sparked a diverse range of public responses on social media, which can be analyzed through sentiment analysis. In this study, we employed the Support Vector Machine (SVM) algorithm, known for its speed and accuracy in text classification, to process and analyze tweets from October 1 to 31, 2022, as well as YouTube comments related to the Kanjuruhan tragedy from October 1 to November 20, 2022. Among the different SVM kernels, the RBF kernel exhibited the highest accuracy, precision, recall, and F1 scores, reaching 76.40%, 75.74%, 76.40%, and 75.18% respectively, when predicting data with three labels. Furthermore, the RBF kernel showed the best performance for data with two labels, achieving the highest accuracy, precision, recall, and F1-Score, which increased to 81.54%, 81.56%, 81.54%, and 81.56%, respectively

    Evaluation of Bicluster Analysis Results in Capture Fisheries Using the BCBimax Algorithm

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    Biclustering is a simultaneous clustering technique by finding sub-matrixes that have the same similarity between rows and columns. One of the biclustering algorithms that is relatively fast and can be used as a reference for the comparison of several algorithms is the BCBimax algorithm. The BCBimax algorithm works by finding a sub-matrix containing element 1 of the formed binary data matrix. The selection of thresholds in the binarization process and the minimum combination of rows and columns are essential in finding the optimal bicluster. Capture fisheries have an important role in supporting sustainable growth in Indonesia, so information on the potential of fish species that have similarities in several provinces is needed in optimally mapping the potential. The BCBimax algorithm found 11 optimal biclusters in grouping capture fisheries data. The median of each variable is used as a threshold in the binarization process, and the minimum combination of row 2 and maximum column 2 is chosen to find the optimal bicluster result. The optimal average value of Mean Square Residual bicluster obtained is 0.405403 with the similarity of bicluster results (Liu and Wang index) which is different for each bicluster combination produced. All the bicluster results grouped the provinces and types of fish that had the same potential simultaneously

    A discourse analysis of figurative language used in English storytelling on BBC Learning English

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    This study aims to discover the kinds of figurative language used that describe the meaning of those figurative languages in English Storytelling on BBC learning English. This study uses a qualitative method with a descriptive analysis approach. For the data, the primary source of this study is Storytelling from BBC Learning English. Secondary sources include books, publications, journal articles, English encyclopedias, observations, and documentation relevant to the research. After analyzing the kinds of figurative language in Storytelling on BBC Learning English, the study found 15 sentences that involve figurative language in English storytelling. There are four kinds of figurative language: personification, metaphor, hyperbole, and simile. The most frequently used figurative language on BBC Learning English Storytelling is personification because figurative language is easier to describe the behavior of objects that resemble human activities. Personification contains five sentences, metaphor contains four sentences, hyperbole consists of 4 sentences, and simile contains two sentences. Further researchers should consider the differences between each type of figurative language used as a context for evaluating the topic, find figurative language on other English education websites such as VOA (Voice of America), and have background knowledge of literature, such as songs and their features

    Expectation and family hierarchy pressure: A semiotics analysis of colors in Encanto (2021)

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    The aim of this study is to observe how colors depict expectations and pressures within a family. Encanto is an animated musical movie that describes hierarchy in a family which inevitably triggers a hierarchy of expectations and pressures from Abuela Alma, the oldest member of the Madrigal family. She treated her children and grandchildren as her own expectation and desire for the sake of the continuity of the family’s descendants. This study belongs to a descriptive qualitative study where observing, recording, and analyzing the data are applied. Roland Barthes’ theory about denotation and connotation will be used to analyze the meaning of the colors attached to each character of this movie. The various colors presented are magenta, baby blue, tiffany blue, lilac, white, yellow, faded green, scarlet, black, and bluish colors. Each color symbolizes characters, the hierarchy of expectations, and the kinds of pressure in this family. The colors and patterns of each individual's outfit, according to the explanation of the contrasts between the characters on each side, indicate the degree of Abuela's influence over them, as she is the person in charge of the family hierarchy. Abuela, aware of the community's dominance of magical power, tries to keep it in her family, resulting in a hierarchical disposition in her family based on her perspective of how their magical ability benefits others

    This is what we experienced during teaching performance in a Microteaching course: An emotional geography

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    This research presented the narration of students’ emotions when microteaching practice. By using the narrative inquiry method, this research showed students’ emotions when they faced the challenges in teaching English performance in the microteaching course. Based on the five students' reflections, we took the data and then analyzed them using the thematic analysis method. The result of the research was related to emotional geography theory by Andy Hargreaves. Based on the analysis result, the researchers found that participants experienced the positive and negative emotions. In positive emotions, it happened when the participants did not nervous during perform in front of the classroom, did not feel nervous when taught different age and gender, felt comfortable and easier that caused by respect, felt so proud that caused by the appreciation, did not have the difficulty in delivering the materials, and felt enthusiastic when got the lecture advices. To negative emotions, it happened when the participants felt so nervous because the lecture and friends were very near, felt so nervous because it was the first time to practice teaching in front of the classroom, felt difficult in teaching because there was no learning tool to support, felt insecure with lecturer advices, and felt difficult when the lecturer instructed to use English in teaching practice.

    Cover Volume 21 Nomer 2

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    Cover Volume 21 Nomer

    Penerapan Goal Setting Untuk Meningkatkan Motivasi Belajar Siswa : Pendekatan Eskperimen Non-Randomized Control Trial

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    Motivasi belajar merupakan faktor penting dalam kegiatan belajar karena dapat mendorong siswa untuk teribat dalam kegiatan belajar. Salah satu faktor yang dianggap penting dalam meningkatkan motivasi belajar yaitu adanya goal setting. Tujuan penelitian ini adalah untuk mengetahui pengaruh penerapan goal setting terhadap peningkatan motivasi belajar siswa SMK Yapalis Krian Sidoarjo. Subjek penelitian ini berjumlah 68 siswa terbagi menjadi 2 kelompok treat berjumlah 34 siswa dan kelompok control 34 siswa. Jenis penelitian ini menggunakan metode non-randomized control trial dengan desain yang digunakan pretest & posttest control group design. Teknik pengumpulan data menggunakan skala adaptasi MSLQ (Motivated Strategies for Learning Questonnaire) dengan reabilitas sebesar 0.922. Teknik analisis data pada penelitian ini menggunakan Uji analisis Independet sample T-Tets dan Paired sample T-Test dengan menggunakan program JASP 0.16. Hasil penelitian ini menunjuukan terdapat perbedaan tingkat motivasi belajar siswa antara kelompok eksperimen dan kelompok kontrol sebelum dan sesudah diberikan pelatihan goal setting

    Pengaruh DPK Dan NPF Terhadap Pembiayaan Mudharabah Pada Bank Umum Syariah Periode 2016-2020

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    Dalam penelitian ini akan ditentukan dan dikaji dampak Dana Pihak Ketiga (DPK) dan Non Performing Financing (NPF) terhadap pembiayaan mudharabah pada Bank Umum Syariah di Indonesia tahun 2016 sampai dengan tahun 2020. Purposive sampling digunakan untuk mengambil sampel penelitian ini, menghasilkan sampel 4 perusahaan dan total 20 data. Teknik analisis data memakai regresi linier berganda dan uji hipotesis. Hasil penelitian memperlihatkan data bahwa DPK berpengaruh signifikan terhadap pembiayaan mudharabah. Hal ini ditunjukkan dengan nilai signifikansi 0,004 0,05. DPK dan NPF secara simultan berpengaruh terhadap pembiayaan mudharabah. Hal ini ditunjukkan dengan nilai signifikansi 0,004 < 0,05

    Pengaruh Jumlah Kitosan dalam Pembuatan Plastik Biodegradabel dari Selulosa Sabut Kelapa dengan Pemplastik Gliserol

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    Plastik adalah salah satu benda yang tidak bisa dipisahkan dari kehidupan manusia, namun karena sifat plastik yang sulit diuraikan, maka diperlukan bahan untuk membuat plastik yang bersifat mudah didegaradasi. Tujuan penelitian adalah untuk mencari pengaruh konsentrasi kitosan pada proses pembuatan bioplastik dari selulosa sabut kelapa. Penambahan kitosan berguna untuk memperbaiki karatetistik produk bioplastik. Pembuatan bioplastik menggunakan metode inversi fasa, dengan variasi perbandingan massa kitosan terhadap massa serbuk sabut kelapa. Hasil bioplastik terbaik diperoleh pada perbandingan  massa kitosan terhadap massa serbuk sabut kelapa sebesar 3:5, dengan karakteristik bioplastik yang dihasilkan mempunyai nilai penyerapan air 20%, nilai kuat tarik 18,1 kg/cm2, dan perpanjangan putus 18%. Hasil uji biodegradasi diperoleh semakin besar konsentrasi kitosan semakin mudah bioplastik akan terdegradasi

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