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Adsorpsi Logam Cr(VI) Dan Cu(II) Pada Tanah Dan Pengaruh Penambahan Pupuk Organik Wijayanti, Aris; Susatyo, Eko Budi; Sukarjo, Sukarjo; Kurniawan, Cepi
Indonesian Journal of Chemical Science Vol 7 No 3 (2018)
Publisher : Indonesian Journal of Chemical Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penyerapan ion logam Cu(II) dan Cr(VI) pada 3 jenis tanah yang berbeda yaitu jenis tanah Andisol yang berasal dari Magelang, tanah Inseptisol berasal dari Pati,  dan jenis Tanah Grumosol berasal dari Demak. 2 gram masing-masing sampel tanah ditambah dengan aquades, CaCl2 0,01 M dan larutan logam Cu(II) dan Cr(VI) dari konsentrasi 20 ppm hingga 200 ppm. Isoterm Langmuir dan isoterm Freundlich digunakan untuk menganalisis model isoterm adsorpsi yang sesuai. Data adsorpsi ion logam Cu(II) dan Cr(VI) pada ketiga jenis tanah lebih sesuai dengan model isoterm Freundlich dibandingkan dengan isoterm Langmuir. Dari ketiga jenis tanah tersebut persamaaan Freundlich lebih sesuai untuk menggambarkan proses adsorpsinya, baik pada ion logam Cu(II) maupun Cr(VI). Persamaan isoterm Freundlich yang dihasilkan dapat digunakan untuk menghitung kapasitas adsorpsi. Kapasitas adsorpsi tanah untuk ion logam Cu(II) dan Cr(VI) meningkat seiring dengan meningkatnya pH, kapasitas tukar kation dan jumlah fraksi liat dalam tanah. Kapasitas adsorpsi ion logam Cu(II) dan Cr(VI) tertinggi yaitu pada jenis tanah Grumosol kemudian Inseptisol dan terendah pada jenis tanah Andisol. Adsorpsi ion logam Cu(II) dan Cr(VI) pada tanah Andisol yang telah ditambahkan pupuk organik lebih mengikuti model persamaan Langmuir. Penambahan pupuk kandang dapat mempengaruhi kapasitas adsorpsi, dengan penambahan pupuk kandang kapasitas adsorpsi ion logam Cu(II) dan Cr(VI) pada tanah Andisol meningkat.  
Pengenalan Retina Menggunakan Alihragam Gelombang Singkat dengan Pengukuran Jarak Euclidean Ternormalisasi Wijayanti, Aris; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (907.837 KB) | DOI: 10.21456/vol4iss2pp116-120

Abstract

Identification of a retinal biometric identification methods with low error rate due to the unique patterns in the retina of blood vessels behind the retina. These patterns can be used as training data for the recognition system is then used for comparison when the identification is done. This study aims to identify the image of the human eye retina, either the left or right side, using image processing techniques and measuring the normalized Euclidean distance. So far, research on biometric systems, particularly with the object of the eye's retina, the eye is done at the owner from the owner's eyes with diverse backgrounds, such as the Messidor database. In this study created a system that can recognize the retinal image using the transformation Haar short waves by measuring the normalized Euclidean distance. Retinal image will be the initial pretreatment process of changing the original image into a gray image, which is then performed using the Haar wavelet feature extraction to obtain the energy that will be used for the normalization of the Euclidean distance, so that the process of recognition by Euclidean values ​​are compared. Testing is done using eye retinal image database taken from Messidor many as 100 of the 300 images taken at random were then stored in a database, the database is one of 100 images stored, the database of 100 images stored 2, and 3 as many as 100 images database stored. Of the best database testing should be done as much as 6 levels of decomposition levels. From the test results have identified the recognition accuracy rate of up to 98%. The greatest degree of familiarity is level 1 that is equal to 98%. Followed usage by 80% level 2, level 3 is 59%, level 4 is 47%, level 5 is 45% and the lowest is the last level 6 that is equal to 37%.   Keywords: Retinal image; Database; Euclidean normalized; Haar Wavelet
IDENTIFIKASI RETINA MENGGUNAKAN ALIHRAGAM GELOMBANG SINGKAT Wijayanti, Aris
SAINTEKBU Vol 12 No 1 (2020): Volume 12 No 1 Tahun 2020 (On Process )
Publisher : KH.A.Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.074 KB) | DOI: 10.32764/saintekbu.v12i1.852

Abstract

Identification of a retinal biometric identification method with a low error rate due to the unique patterns in the retina of blood vessels behind the retina. These patterns can be used as training data for the recognition system is then used for comparison when the identification is done. This study aims to identify the image of the human eye retina, either the left or right side, using image processing techniques and measuring the normalized Euclidean distance. So far, research on biometric systems, particularly with the object of the eye's retina, the eye is done at the owner from the owner's eyes with diverse backgrounds, such as the Messidor database. In this study created a system that can recognize the retinal image using the transformation Haar short waves by measuring the normalized Euclidean distance. The retinal image will be the initial pretreatment process of changing the original image into a grey image, which is then performed using the Haar wavelet feature extraction to obtain the energy that will be used for the normalization of the Euclidean distance so that the process of recognition by Euclidean values ??are compared. Testing is done using eye retinal image database taken from Messidor many as 100 of the 300 images taken at random were then stored in a database, the database is one of 100 images stored, the database of 100 images stored 2, and 3 as many as 100 images database stored. Of the best database testing should be done as much as 6 levels of decomposition levels. From the test results have identified the recognition accuracy rate of up to 98%. The greatest degree of familiarity is level 1 that is equal to 98%. Followed usage by 80% level 2, level 3 is 59%, level 4 is 47%, level 5 is 45% and the lowest is the last level 6 that is equal to 37%.
EFEKTIFITAS ROM CYLINDRICAL GRIP TERHADAP PENINGKATAN KEKUATAN OTOT TANGAN PADA PASIEN STROKE NON HEMORAGIK mardiana, sri siska; Yulisetyaningrum, Yulisetyaningrum; Wijayanti, Aris
Jurnal Ilmu Keperawatan dan Kebidanan Vol 12, No 1 (2021): JURNAL ILMU KEPERAWATAN DAN KEBIDANAN
Publisher : STIKES Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikk.v12i1.915

Abstract

EFEKTIFITAS ROM CYLINDRICAL GRIP TERHADAP PENINGKATAN KEKUATAN OTOT TANGAN PADA PASIEN STROKE NON HEMORAGIK   ABSTRAKStroke non hemoragik sering ditemukan adanya gangguan penurunan kesadaran dengan disertai penurunan aktivitas penderita. Terjadinya peningkatan takanan intra kranial pada penderita akibat adanya penurunan aliran darah ke otak yang dapat menyebabkan iskemia otak. Penurunan kesadaran diakibatkan dari suplai oksigen ke otak yang menurun secara tiba-tiba dan secara bertahap akan menyebabkan hipoksia pada jaringan tubuh. Jika dalam waktu yang cukup lama dan tidak tertangani, penderita akan mengalami gangguan neuromuskuler dengan ditemukan adanya kelemahan pergerakan sendi bahkan dapat terjadi kecacatan. Tujuan penelitian ini untuk  mengetahui efektifiras ROM cylindrical grip terhadap peningkatan kekuatan otot tangan pada pasien stroke Non Hemoragik di RSUD RAA Soewondo Pati. Jenis penelitian yang digunakan adalah metode penelitian eksperimen semu dengan pendekatan Pre-PostTest. Jumlah sampel 17 pasien kelompok intervensi dan 17 pasien kelompok kontrol yang dipilih secara Consecutive Sampling. Uji analisa menggunakan uji wilcoxon.  Hasil penelitian diperoleh responden sebelum diberikan ROM cylindical grip paling banyak mengalami kekuatan otot tangan baik sebanyak 12 responden (70,6%) dan sesudah diberikan ROM cylindical grip paling banyak mengalami kekuatan otot tangan baik sebanyak 16 responden (94,1%). Hasil penelitian diperoleh kekuatan otot tangan responden sebelum abduksi-adduksi paling banyak kekuatan otot tangan baik sebanyak 13 responden (76,5%) dan sesudah abduksi-adduksi paling banyak kekuatan otot tangan baik sebanyak 15 responden (88,2%). Hasil penelitian di atas didapatkan kelompok intervensi diperoleh nilai ρ  value adalah 0,000 (p<0,05) dan kelompok kontrol diperoleh nilai ρ  value adalah 0,045 (p<0,05).  Hasil tersebut dapat disimpulkan bahwa ρ  value kelompok intervensi lebih kecil dibandingkan ρ  value kelompok kontrol sehingga pemberian ROM cylindrical grip lebih efektif meningkatkan kekuatan otot tangan pada pasien stroke Non Hemoragik dibandingkan menggunakan abduksi-adduksi.Kata kunci : ROM Cylindrical Grip,  Kekuatan Otot Tangan dan Stroke Non Hemoragik     
Adsorpsi Logam Cr(VI) Dan Cu(II) Pada Tanah Dan Pengaruh Penambahan Pupuk Organik Wijayanti, Aris; Susatyo, Eko Budi; Sukarjo, Sukarjo; Kurniawan, Cepi
Indonesian Journal of Chemical Science Vol 7 No 3 (2018)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijcs.v7i3.22011

Abstract

Penyerapan ion logam Cu(II) dan Cr(VI) pada 3 jenis tanah yang berbeda yaitu jenis tanah Andisol yang berasal dari Magelang, tanah Inseptisol berasal dari Pati, dan jenis Tanah Grumosol berasal dari Demak. 2 gram masing-masing sampel tanah ditambah dengan aquades, CaCl2 0,01 M dan larutan logam Cu(II) dan Cr(VI) dari konsentrasi 20 ppm hingga 200 ppm. Isoterm Langmuir dan isoterm Freundlich digunakan untuk menganalisis model isoterm adsorpsi yang sesuai. Data adsorpsi ion logam Cu(II) dan Cr(VI) pada ketiga jenis tanah lebih sesuai dengan model isoterm Freundlich dibandingkan dengan isoterm Langmuir. Dari ketiga jenis tanah tersebut persamaaan Freundlich lebih sesuai untuk menggambarkan proses adsorpsinya, baik pada ion logam Cu(II) maupun Cr(VI). Persamaan isoterm Freundlich yang dihasilkan dapat digunakan untuk menghitung kapasitas adsorpsi. Kapasitas adsorpsi tanah untuk ion logam Cu(II) dan Cr(VI) meningkat seiring dengan meningkatnya pH, kapasitas tukar kation dan jumlah fraksi liat dalam tanah. Kapasitas adsorpsi ion logam Cu(II) dan Cr(VI) tertinggi yaitu pada jenis tanah Grumosol kemudian Inseptisol dan terendah pada jenis tanah Andisol. Adsorpsi ion logam Cu(II) dan Cr(VI) pada tanah Andisol yang telah ditambahkan pupuk organik lebih mengikuti model persamaan Langmuir. Penambahan pupuk kandang dapat mempengaruhi kapasitas adsorpsi, dengan penambahan pupuk kandang kapasitas adsorpsi ion logam Cu(II) dan Cr(VI) pada tanah Andisol meningkat.
Sistem Pakar Dalam Mendiagnosa Penyakit Tubercolosis dengan mengimplementasikan Metode Case Based Reasoning Wijayanti, Aris; Arifah, Fatimah Nur; Putri, Desfita Eka; Satriyanto, Muhammad Dwi; Sallu, Sulfikar
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3409

Abstract

Health is one of the most valuable parts of human life. So healthy is the goal of every human being. Many things cause the decline in human health, such as hereditary genes, sensitive immunity and exposure to viruses or bacteria. One of the diseases caused by bacteria is tuberculosis (TB). Tuberculosis is a disease caused by exposure to a bacterium called Mycobacterium tuberculosis. There are two types of tuberculosis, namely pulmonary tuberculosis and extra pulmonary tuberculosis. Pulmonary tuberculosis can be defined as a disease that attacks the lungs and affects the lung parenchyma [4]. It's just that this type of disease does not attack other organs. While extrapulmonary tuberculosis is a tuberculosis disease in which this type of disease can attack other related organs such as the hilum, pleura and various other organs. the lack of funds for health checks makes it too late for many people to get treatment. Therefore, the development of technology should be utilized in handling this problem. One of the technologies that can be used in dealing with these problems is to use an expert system. An expert system is a system that is developed using the development of the knowledge that is owned by many experts and is used as a reference in developing the technology. In using an expert system, a method is needed that can help solve existing problems, therefore in this study the method used is the Case-Based Reasoning (CBR) method. The Case-Based Reasoning (CBR) method is the most suitable method for use in this study because the main function of this method is to diagnose disease. Based on the results of the calculation process using the Case-Based Reasoning method for each type of TB disease, the results obtained are for pulmonary tuberculosis to obtain a value of 85%, while for tuberculosis with extra pulmonary tuberculosis it is 62%. So based on the results obtained in this study it was determined that the sample was diagnosed with pulmonary tuberculosis. With a similarity of 85%.