198 research outputs found

    HUBUNGAN PELAYANAN ADMINISTRASI DAN PETUGAS KESEHATAN DENGAN KEPUASAN PASIEN TERHADAP MUTU PELAYANAN KESEHATAN DI PUSKESMAS GANDUS PALEMBANG TAHUN 2018

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    Penelitian ini meneliti tentang tingkat kepuasan pasien di Puskesmas Gandus Palembang yang dilaksanakan pada 12-24 November 2018. Populasi dalam penelitian ini adalah seluruh pasien yang datang berkunjung/berobat di Puskesmas gandus Palembang dan sampel dalam penelitian ini sebanyak 99 responden. Desain penelitian ini menggunakan penelitian kuantitatif dengan menggunakan metode penelitian Cross-sectional yaitu penelitian yang mempelajari variabel sebab atau resiko dan akibat yang terjadi pada objek, penelitiaan ini dengan cara pendekatan, observasi, atau pengumpulan data sekaligus pada suatu saat antara variabel independen dan variabel dependen. Penelitian ini bertujuan untuk mengetahui kepuasan pasien terhadap pelayanan kesehatan yang diberikan. Hasil penelitian menunjukkan bahwa sebagian besar pasien bahwa pelayanan administrsi baik yaitu sebanyak 74 responden (74,7%) dan 25 responden (25,3%) yang menyatakan tidak baik terhadap pelayanan administrasi p value = 0,020. Sedangkan pada variabel pelayanan petugas kesehatan ada sebanyak 71 responden (71,7%) yang menyatakan bahwa pelayanan petugas kesehatan baik dan 28 responden (28,3%) yang menyatakan pelayanan petugas kesehatan tidak baik p value = 0,029. Penyajian hasil penelitian berbentuk tabel distribusi frekuensi dan persentase lalu hasil penelitian dibahas serta di buat kesimpulan secara umum. Berdasarkan hasil penelitian didapatkan bahwa sebagian besar responden menyatakan pelayanan kesehatan di Puskesmas Gandus Palembang telah baik dan perlu ditingkatkan lagi.</jats:p

    Pengaruh Pembebanan Terhadap Tegangan dan Frekuensi Pada Generator 3 Fasa

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    BIG FIVE PERSONALITY TRAITS, DEMOGRAPHY AND OVERCONFIDENCE

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    This study aims to determine the factors that influence overconfidence in student investors in Yogyakarta. This study explores the relationship between demographic factors (sex, age, education) and big five personality traits (agreeableness, concientiousness, extraversion, neuroticism, openness) with overconfidence. Primary data collected from student investors through questionnaires. The statistical method used is chi-square to determine the relationship between demographic factors and overconfidence. Regression method to determine the relationship between personality types with overconfidence. Analysis using SPSS for Windows 20 on 100 sample sizes. The results of the regression analysis showed that there was an influence between concientiousness, extroversion and openness personality type variables on overconfidence. Agreeableness and neuroticism have no effect on overconfidence. The study also found an influence between demographic factors (sex, age, education) and overconfidence.</jats:p

    Perencanaan Pembelajaran

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    Bahan ajar ini terdiri dari 9 bab yang meliputi pengetahuan tentang kurikulum 2013 yang disampaikan pada perkuliahan pertama. Bab 2 membahas tentang cara menentukan minggu efektif berdasarkan kalender pendidikan. Bab 3 membahas cara mengembang program tahunan (Prota) dan Program semester berdasarkan minggu dan jam efektif yang sudah ditentukan. Pada bab 4 dibahas cara mengembangkan indikator. Bab 5 membahas tentang penentuan Kriteria Ketuntasan Minimal (KKM) yang merupakan bagian dari penilaian. Bab 6 membahas cara mengembangkan silabus dilanjutkan pembahasan tentang RPP pada bab 7. Pengembangan materi ajar disajikan pada bab 8 dan diakhiri dengan pembahasan tentang penilaian di bab 9. Bahan ajar yang disusun ini diharapkan dapat bermanfaat sebagai salah satu sumber belajar bagi mahasiswa atau calon guru yang akan menyusun perangkat pembelajaran. Di dalam bahan ajar ini juga disajikan teori dan cara mengembangkan perangkat pembelajaran, sehingga bagi mahasiswa yang program mata kuliah perencanaan dapat menjadi rujukan dalam menyusun perangkat pembelajaran.</jats:p

    Perancangan Sistem Informasi Catatan Kesehatan Ibu Hamil dan Ibu Bersalin Berbasis SMS Notifikasi

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    The maternal health record is a record that contains the development of the fetus and the pregnant health record as well, this note is very important as a reference when a pregnant woman will give birth so that in addition to this note is given to the patient (pregnant women) midwife and gynecologist place control should also have this health record. Patients also often forget to bring even forget to put or keep this health notebook so forget the date of return control that has been written on the note note. Patients should not forget the date of re-control and not be empty of health record book then made the design of health information system for pregnant mother and mother-based sms notification with the aim can be a reminder of date of control visit for pregnant mother and reminded of date of estimated delivery. Methods of data collection is done by direct observation, interview and literature study. System design using UML modeling language. The result of this research is the design of information system of maternity health record and maternity based on sms notification with purpose as reminder of date of control visit for pregnant mother and reminder of estimated date of labor and assist in better management of maternal and maternal health record.</jats:p

    AKSESIBILITAS BAGI DIFABEL PADA BANGUNAN HOTEL DI KOTA SURAKARTA

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    Relationship of Revenue, Expenditure, Capital, Grand, and Tax’s with Financial Performance of Nangroe Aceh Darussalam Province

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    Objective Provincial government is part of the central government which autonomously has its own authority in carrying out its APBD so that it can be utilized as much as possible for the prosperity of the people. Good financial performance of the regional government will make the welfare of the people in the area also better. This research is a literature study on the regional government of the province of Nangroe Aceh Darussalam for ten years 2009-2018. Method - The type of data used is secondary data, APBD (Regional Budget) reports in the form of audited budget and realization. Financial performance instruments are measured based on effectiveness, efficiency and independence. Data were analyzed using Pearson bivariate correlation analysis. Results - Research has fulfilled the classical assumption test, and the results of Pearson's bivariate correlation show that revenue, expenditure and taxs have a very close positive relationship with the financial performance of the Aceh government, while capital and grand have a weak relationship. Implications - The results show that the financial performance of the Nangroe Aceh Darussalam provincial government is quite good. This good condition can be improved to be very good through efforts to focus improvements on the variables that are lacking, namely capital and grand.</jats:p

    IDENTIFIKASI KELAYAKAN KARET BAN DENGAN MODEL CNN RESNET-50

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    In this study, the authors designed an algorithm based on a convolutional neural network that is capable of automatically classifying tire rubber eligibility according to the appearance of the tire on the tire image. The proposed algorithm will be built through several stages as follows. In the first stage, tire image acquisition will be carried out which will be the input of the designed algorithm. Furthermore, the acquired image will be divided into two sets, namely training and testing sets. The training set contains tire images that will be used at the training stage of several convolutional neural network architectures to be able to and classify them to the appropriate level of feasibility. The training phase will be carried out in a number of epohs, and at each epoh, the cross entropy loss function value will be calculated which expresses the performance of the convolutional neural network architecture in classifying tire images.&#x0D; In this study, the author has designed an algorithm based on deep learning that is capable of automatically classifying tire eligibility. The proposed algorithm has been built through several stages such as tire image acquisition, training of several CNN models, especially ResNet-50. The CNN architecture test is trained to classify tire images from the test set. In addition, the accuracy value has also been calculated which shows the percentage of the number of tire images that are successfully classified correctly to the total number of tire images in the test set, which is an accuracy of 88.31%.</jats:p
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