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PENGUKURAN KUALITAS BERKAS CITRA RADIOGRAFI NEUTRON PASCA PENAMBAHAN SISTEM TOMOGRAFIDIFASILITAS RN1 BATAN-SERPONG Juliyani Juliyani; Setiawan Setiawan; Fahrurrozi A.; Sutiarso Sutiarso
Jurnal Forum Nuklir JFN Vol 6 No 2 November 2012
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2012.6.2.3447

Abstract

PENGUKURAN KUALITAS BERKAS CITRA RADIOGRAFI NEUTRON PASCA PENAMBAHAN SISTEM TOMOGRAFI DI RN1 BATAN SERPONG. Pengukuran kuatitas berkas citra radiografi neutron pasca penambahan sistem tomografi di RN1 BATAN Serpong, telah dilakukan. Pengukuran bertujuan untuk menentukan kualitas berkas neutron berdasarkan standar ASTM E-545-05. Pengukuran dilakukan dengan metode langsung (film radiografi) menggunakan cuplikan standar Sensitivity Indicator (SI) dan Beam Purity Indicator (BPI), serta film AGFA D3. Kualitas berkas neutron yang keluar dari tabung berkas ditentukan oleh karakteristik kolimator yang digunakan. Pada saat film radiografi neutron dioperasikan bersamaan dengan sistem tomografi, kualitas berkas yang didapat secara kuantitatif dari hasil pengukuran densitas citra dari cuplikan BPI menggunakan densitometer, mendapat jumlah neutron termal: 40,20 %; neutron terhambur: 0,70 %; gamma: 1,50 %; produksi pasangan: 3,30 %; jumlah garis dan yang terlihat masing-masing: 6 dan 4. Sedangkan apabila film radiografi neutron saja yang dioperasikan, mendapatkan jumlah neutron termal: 62,20 %; neutron terhambur: 0,50 %; gamma: 1,80 %; produksi pasangan: 2,30 %; jumlah garis dan yang terlihat masing-masing: 7 dan 4. Kualitas citra radiografi neutron pada saat film radiografi dioperasikan bersamaan dengan sistem tomografi, tidak baik (buram). Kualitas citra radiografi neutron apabila film radiografi neutron saja yang dioperasikan menjadi lebih baik (terang dan kontras), berdasarkan standar ASTM E-545-05 diklasifikasikan ke dalam kategori II. Dapat disimputkan bahwa untuk mendapatkan kualitas citra radiografi neutron yang lebih baik, maka film radiografi tidak dioperasikan bersamaan dengan sistem tomografi.
Perbedaan Latihan High Intensity Ground Walking Dan Latihan Static Bicycle Terhadap Kapasitas Latihan Pada Penderita PPOM Setiawan Setiawan; Nur Basuki
Interest : Jurnal Ilmu Kesehatan Vol 5 No 1 (2016): INTEREST : JURNAL ILMU KESEHATAN
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/interest.v5i1.12

Abstract

Abstract: High-Intensity Ground Walking, Static Bicycle exercise, exercise capacity, the 6-minutes walking test, chronic obstructive pulmonary disease (COPD). This study aimed to compare the benefits between High-Intensity Ground Walking exercise and Static Bicycle exercise on exercise capacity in patients with chronic obstructive pulmonary disease (COPD). This research is a quasi-experimental study design with two groups pre and post-test design. The subjects were all patients COPD with a moderate and severe degree in The Special hospital of Pulmonary dr. Ario Wirawan Salatiga, that meet the inclusion and exclusion criteria. The data was collected directly by assessing the results of the six-minute walk test before and after the treatments. Data collected were analyzed using SPSS 11.5. The different test within groups measured with the Wilcoxon test, and for between groups measured with Mann Whitney test. The significance level was set on 0.05. Results and Conclusion (1) High-Intensity Ground Walking exercises improve exercise capacity in patients with COPD (p = 0.005), (2) Static Bicycle training program improves exercise capacity of patients with COPD (p = 0.005), (3) There is no difference between High-Intensity Ground Walking Exercise and Static Bicycle training in improving exercise capacity in patients with COPD (p = 0.970).
Meningkatkan Kinerja Pegawai Balai Besar Karantina Pertanian Surabaya dengan Menganalisa Pengaruh Gaya Kepemimpinan, Budaya Kerja dan Remunerasi Gatot Basuki Hari Mukti; Setiawan Setiawan
Jurnal IPTEK Vol 22, No 1 (2018)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2018.v22i1.236

Abstract

Penelitian ini membahas tentang analisis pengaruh gaya kepemimpinan ,budaya kerja dan remunerasi terhadap kepuasan kerja untuk meningkatkan kinerja di UPT BBKP Surabaya. Tujuan penelitian adalah untuk (1) Menganalisis pengaruh gaya kepemimpinan terhadap kepuasan kerja (2) Menganalisis budaya kerja terhadap kepuasan kerja (3) Menganalisis gaya kepemimpinan terhadap kinerja pegawai (4) Menganalisis budaya kerja terhadap kinerja pegawai (5) Menganalisis remunerasi terhadap kepuasan kerja (6) Menganalisis kepuasan kerja terhadap  kinerja pegawai (7) Menganalisis remunerasi terhadap kinerja pegawai Sampel yang digunakan untuk menjawab permasalahan yang diajukan dalam penelitian ini sejumlah 106 data responden dengan menggunakan pendekatan analisis Structural Equation Modeling (SEM). Besarnya hasil goodness of fit  untuk nilai Chi Square = 574,85 dengan probabilitas sebesar 0,28. dan indeks kelayakan lainya berada dalam rentang yang diharapkan kecuali GFI dan AGFI namun hal ini masih membuktikan bahwa model ini dapat diterima. Dalam penelitian ini menghasilkan bahwa pengaruh gaya kepemimpinan, budaya kerja dan kepuasan kerja memiliki pengaruh langsung lebih besar dari pada pengaruh tidak langsung dan terdapat nilai negatife yakni pengaruh. remunerasi terhadapa kinerja. Sehingga dapat simpulkan bahwa gaya kepemimpinan dengan budaya kerja sangat mempengaruhi kepuasan kerja sehingga dapat meningkatkan kinerja pegawai di UPT BBKP Surabaya
Hubungan Usia Demensia Dan Kemampuan Fungsional Pada Lansia Sri Suwarni; Setiawan Setiawan; M. Mudadsir Syatibi
Jurnal Keterapian Fisik Vol 2 No 1 (2017): JURNAL KETERAPIAN FISIK
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (191.479 KB) | DOI: 10.37341/jkf.v2i1.77

Abstract

Abstract: Age, Dementia, Functional Ability, The Elderly. Increased life expectancy figures and the high cost of care for the elderly with dementia was associated with decreased functional ability to know how dependent elderly people in their daily activities. To determine the relationship of age, dementia and functional ability in the elderly. The study design was a descriptive study with observational analytic method with cross sectional study, done in parlors Wredha Dharma Bhakti Surakarta with 32 elderly subjects who met the inclusion criteria, age range 61-85 years. Dementia is measured using the Mini Mental State Examination (MMSE) and functional ability with Groningen Activity Restriction Scale (GARS). The results of statistical tests test the relationship (1) between age and dementia, p = 0.099 and r = - 0.297, meaning no meaningful relationship, negative and weak between the two variables. (2) between age and functional abilities, p = 0.000 and r = 0.699, which means that there is a meaningful relationship, positive and strong between the two variables. (3) between dementia with functional ability, p = 0.002 and r = - 0.535, meaning that there is a meaningful relationship, negative and strong between the two variables. there is no relationship of age on dementia but there is a strong relationship between age and functional ability and dementia of the functional ability of the elderly. Mean age was not linear with the increase in the incidence of dementia, but age and dementia are the root causes deterioration of functional ability in the elderly. Physiotherapy with various modalities that exist, can play a role to help maintain the functional capability of the elderly so that the slogan of healthy aging can be realized.
Perbedaan Latihan High Intensity Ground Walking Dan Latihan Static Bicycle Terhadap Kapasitas Latihan Pada Penderita PPOM Setiawan Setiawan; Nur Basuki
Jurnal Keterapian Fisik Vol 1 No 1 (2016): JURNAL KETERAPIAN FISIK
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.567 KB) | DOI: 10.37341/jkf.v1i1.78

Abstract

Abstract: High Intensity Ground Walking, Static Bicycle exercise, exercise capacity, the 6-minutes walking test, chronic obstructive pulmonary disease (COPD). This study aimed to compare the benefits between High Intensity Ground Walking exercise and Static Bicycle exercise on exercise capacity in patients with chronic obstructive pulmonary disease (COPD). This research is a quasi-experimental study design with two groups pre and post test design. The subjects were all patients COPD with moderate and severe degree in The Special hospital of Pulmonary dr. Ario Wirawan Salatiga, that meet the inclusion and exclusion criteria. Inclusion criteria: (1) the degree of moderate and severe COPD (2) Age 25 to 70 years, (3) Value of FEV1 less than 60% (4) There is a decrease in exercise tolerance with the results of the 6-minute test less than 300 meter (5) Willing to follow this research. Exclusion criteria: (1) Having a concomitant diseases such as heart, kidney failure, uncontrolled diabetes, severe hypertension (2) need an ambulation aid (3) Having musculoskeletal and neuromuscular disorders of the lower extremities. Do not follow the exercises more than 3 times. The data was collected directly by assessing the results of the six-minute walk test before and after the treatments. Data collected were analyzed using SPSS 11.5. The different test within groups measured with Wilcoxon test, and for between groups measured wirh Mann Whitney test. The significance level was set on 0.05. Results and Conclusion:(1)High Intensity Ground Walking exercises improve exercise capacity in patients with COPD (p = 0.005), (2) Static Bicycle training program improve exercise capacity of patients with COPD (p = 0.005), (3) There is no difference between High Intensity Ground Walking Exercise and Static Bicycle training in improving exercise capacity in patients with COPD (p = 0.970).
Bayes Wavelet Regression Approach to Solve Problems in Multivariable Calibration Modeling Setiawan Setiawan; Sutikno Sutikno
IPTEK The Journal for Technology and Science Vol 21, No 2 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i2.30

Abstract

In the multiple regression modeling, a serious problems would arise if the independent variables are correlated among each other (the problem of ill conditioned) and the number of observations is much smaller than the number of independent variables (the problem of singularity). Bayes Regression (BR) is an approach that can be used to solve the problem of ill conditioned, but computing constraints will be experienced, so pre-processing methods will be necessary in the form of dimensional reduction of independent variables. The results of empirical studies and literature shows that the discrete wavelet transform (WT) gives estimation results of regression model which is better than the other preprocessing methods. This experiment will study a combination of BR with WT as pre-processing method to solve the problems ill conditioned and singularities. One application of calibration in the field of chemistry is relationship modeling between the concentration of active substance as measured by High Performance Liquid Chromatography (HPLC) with Fourier Transform Infrared (FTIR) absorbance spectrum. Spectrum pattern is expected to predict the value of the concentration of active substance. The exploration of Continuum Regression Wavelet Transform (CR-WT), and Partial Least Squares Regression Wavelet Transform (PLS-WT), and Bayes Regression Wavelet Transform (BR-WT) shows that the BR-WT has a good performance. BR-WT is superior than PLS-WT method, and relatively is as good as CR-WT method.
Statistical Downscaling Output GCM Modeling with Continuum Regression and Pre-Processing PCA Approach Sutikno Sutikno; Setiawan Setiawan; Hendy Purnomoadi
IPTEK The Journal for Technology and Science Vol 21, No 3 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i3.41

Abstract

One of the climate models used to predict the climatic conditions is Global Circulation Models (GCM). GCM is a computer-based model that consists of different equations. It uses numerical and deterministic equation which follows the physics rules. GCM is a main tool to predict climate and weather, also it uses as primary information source to review the climate change effect. Statistical Downscaling (SD) technique is used to bridge the large-scale GCM with a small scale (the study area). GCM data is spatial and temporal data most likely to occur where the spatial correlation between different data on the grid in a single domain. Multicollinearity problems require the need for pre-processing of variable data X. Continuum Regression (CR) and pre-processing with Principal Component Analysis (PCA) methods is an alternative to SD modelling. CR is one method which was developed by Stone and Brooks (1990). This method is a generalization from Ordinary Least Square (OLS), Principal Component Regression (PCR) and Partial Least Square method (PLS) methods, used to overcome multicollinearity problems. Data processing for the station in Ambon, Pontianak, Losarang, Indramayu and Yuntinyuat show that the RMSEP values and R2 predict in the domain 8x8 and 12x12 by uses CR method produces results better than by PCR and PLS.
The Jackknife Interval Estimation of Parametersin Partial Least Squares Regression Modelfor Poverty Data Analysis Pudji Ismartini; Sony Sunaryo; Setiawan Setiawan
IPTEK The Journal for Technology and Science Vol 21, No 3 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i3.42

Abstract

One of the major problem facing the data modelling at social area is multicollinearity. Multicollinearity can have significant impact on the quality and stability of the fitted regression model. Common classical regression technique by using Least Squares estimate is highly sensitive to multicollinearity problem. In such a problem area, Partial Least Squares Regression (PLSR) is a useful and flexible tool for statistical model building; however, PLSR can only yields point estimations. This paper will construct the interval estimations for PLSR regression parameters by implementing Jackknife technique to poverty data. A SAS macro programme is developed to obtain the Jackknife interval estimator for PLSR.
Spatial Econometric Model for Economics Development in Archipelago of Riau, as a Defense System Development in Republic of Indonesia Susanti Linuwih; Setiawan Setiawan; Dwiatmono A. W Dwiatmono A. W; Wiryadi Wiryadi
IPTEK The Journal for Technology and Science Vol 21, No 3 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i3.40

Abstract

Province of Archipelago of Riau is a region in Indonesia which is adjacent to Singapore and Malaysia. This province has a great potential conditions diversity and natural resources. Planning on public prosperity improvement is necessary in order to increase loyalty and nationalism to Republic of Indonesia. The aim of this research is to build a spatial econometric model of economic growth in Province of Archipelago of Riau. One of the results shows that in recent 4 years Batam always gives the largest contribution to GRDP in Province of Archipelago of Riau. This can be understood that the contribution is more than 72.0% not only based on GRDP at current prices, but also based on GRDP at constant prices. Economic growth rate in regions in Province of Archipelago of Riau is higher than national economic growth rate. The model fits well because the coefficient of determination R2 is more than 85%. There are only 3 worse models, i.e. based on building construction in Batam (with R2= 59.6%), in Tanjungpinang (with R2=74.0%), and based on transportation and communication in Tanjungpinang (with R2=37.1%).
Continum Regression with Discrete Wavelet Transformation Preprocessing Setiawan Setiawan; Khairil Anwar Notodiputro
Jurnal ILMU DASAR Vol 8 No 2 (2007)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.052 KB)

Abstract

In the multiple regression modeling, serious problems will be occurred if  independent variables are correlated, to be named  ill conditioned problem, and the number of observations is much less than the number of independent variables, it is a singularity problem. Continum Regression (CR) approach, it’s better to overcome the problem of ill conditioned, but if  the number of observations is much less than the number of independent variables usually facing the problem in computing. So the first step, it needes dimension reduction of independent variables (known as a preprocessing method). Discrete wavelet transformation (DWT) is one of a good method handle the problem of singularity.  The research we have studied  combination of CR and DWT as a preprocessing method can solved the problems of ill conditioned and singularity.  The result of empirical research with simulation data has concluded that performance of CRDWT have very good potency to overcome the problems of the number of observations much less than the number of independent variables and ill conditioned.
Co-Authors Achmad Fauzi Yahya Adelia, Gita Agung Supangkat ALIMA Alima Alvien Gunawan Aly Diana Ambrosius Purba Andi Nurhabibi Marwil Andi Srimularahmah Andi Tenri Sua Andita Ayu Mandasari Anik Djuraidah Arifin, Mohamad Zaenal Aripin Ponorogo Asbaniar Asbaniar ASEP SAEFUDDIN Asri Dwi Puspitasari Bunyamin Bunyamin Dwi N A Dwiatmono A. W Dwiatmono A. W Elvine Gunawan Eni Endaryati Evi Rahmawati Fahmi Arti Fahrurrozi A. Fahrurrozi Fahrurrozi Finna Setiawan Firda Inayah Firda Yunara Freddy Mutiara Gaga Irawan Nugraha Gatot Basuki Hari Mukti Gunawan, Alvien Hadi Suryono Hadiyatussalamah Pusfa Kencanasari Hafiz Ambyo Bagaskoro Hanna Goenawan Hargiani, Fransisca Xaveria Hendy Purnomoadi Henryanto Wijaya Ica Elvina Imama Z Imas Rafiyah Imelda Sirait Indah Nur Aini Irma Ruslina Defi Ismail Astar Juliyani Juliyani Juliyani Juliyani Karina Citra Rani Khairil Anam Khoirul Ngibad Laila Fauziah Ramadhani Lailatun Ni’mah Leonardo Lubis Lilla Puji Lestari Lola Ilona M. Mudadsir Syatibi M. Rizal Chaidir Marissa Tasya Marlik Maslamah Mei Ayu Setyo Ningrum Miftahudin . Mochammad Machrudi Zakaria Nanang P Nikmatul Ikhrom Eka Jayani Nina Dewi Oktaviyanti Nova Sylviana Novie Salsabila Nuddin Harahab Nunung N U Nur Basuki Nurul Amalia Prasetyo Yuli Kurniawan Pudji Ismartini Rahmawaty Rahman Rahmawaty, Ike Renny Nirwana Sari Ricky Anguda Ririn Teguh Setyowati Robbi'ul Hamzah Rosihan Rosman Rosina Tarigan Roymond H Simamora Rusmiati Rusmiati Sairun Sairun Sarimun Sarimun Sheila Devi Siti Munfaqiroh Sony Sunaryo Sri Suwarni Sugeng H Sundari Sundari Suryantini Suryantini Susanti Linuwih Sutiarso Sutiarso Sutiarso Sutiarso Sutikno Sutikno Suyono Saputra Swito Prastiwi Teddy Hidayat Tertianto Prabowo Titing Nurhayati Tony Tony Tri Prayuda Dwipha Surbakti Umi Fatimah Vivi Kumalasari, Vivi Wiryadi Wiryadi Yulianti Rasud Yuni Susanti Pratiwi