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Efektifitas Ceramah terhadap Pengetahuan Kader Kesehatan tentang Penyakit Talasemia di Kecamatan Pekuncen dan Kecamatan Sumbang Kabupaten Banyumas SR, Dwi Sarwani; Nurhayati, Nunung; Supriyanto, .
Kes Mas: Jurnal Fakultas Kesehatan Masyarakat Vol 8, No 1 (2014): Kes Mas: Jurnal Fakultas Kesehatan Masyarakat
Publisher : Universitas Ahmad Dahlan

ABSTRACTBackground: One of the causes of the ineffective preventing of Thalassemia and getting more cases in Pekuncen and Sumbang sub district Banyumas was inadequate knowledge of the disease. Health volunteers had an important role to the distribution of information about thalassemia to the people. This research was aimed to observe the effectiveness of lecture method in improving knowledge of health volunteers on Thalassemia in Sumbang and Pekuncen sub district.Methods: The researcher applied quasi experiment through pretest and posttest design in her research. The population covered the active health volunteers in Sumbang and Pekuncen Sub districts consisted of 64 people who met the criteria. For analyzing the data, the researcher used univariate and bivariate (Wilcoxon test).Results and conclusion: The research showed that there was a different knowledge before and after lecture activity, the average score of knowledge before getting the treatment was 10.82 and it improved into 12.18 after the lecture session. There was 60.7% volunteers that was improved their knowledge after obtaining lecture session on thalassemia.Keywords: thalassemia, health volunteer, lecture method

EFEKTIFITAS CERAMAH TERHADAP PENGETAHUAN KADER KESEHATAN TENTANG PENYAKIT TALASEMIA DI KECAMATAN PEKUNCEN DAN KECAMATAN SUMBANG KABUPATEN BANYUMAS SR, Dwi Sarwani; Nurhayati, Nunung; Supriyanto, .
Kes Mas: Jurnal Fakultas Kesehatan Masyarakat Vol 8, No 1 (2014): Kes Mas: Jurnal Fakultas Kesehatan Masyarakat
Publisher : Universitas Ahmad Dahlan

ABSTRACTBackground: One of the causes of the ineffective preventing of Thalassemia and getting more cases in Pekuncen and Sumbang sub district Banyumas was inadequate knowledge of the disease. Health volunteers had an important role to the distribution of information about thalassemia to the people. This research was aimed to observe the effectiveness of lecture method in improving knowledge of health volunteers on Thalassemia in Sumbang and Pekuncen sub district.Methods: The researcher applied quasi experiment through pretest and posttest design in her research. The population covered the active health volunteers in Sumbang and Pekuncen Sub districts consisted of 64 people who met the criteria. For analyzing the data, the researcher used univariate and bivariate (Wilcoxon test).Results and conclusion: The research showed that there was a different knowledge before and after lecture activity, the average score of knowledge before getting the treatment was 10.82 and it improved into 12.18 after the lecture session. There was 60.7% volunteers that was improved their knowledge after obtaining lecture session on thalassemia.Keywords: thalassemia, health volunteer, lecture method

Analysis of Social, Economic and Population in Central Java Using the Dynamic Data Panel Simultaneous Equation Model Supriyanto Supriyanto
JSSH (Jurnal Sains Sosial dan Humaniora) JSSH (Jurnal Sains Sosial dan Humaniora) Vol. 3 No. 1 Maret 2019
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

A single equation model that is often used ignores the interdependence between response variables. Frequently encountered variables that have a two-way relationship. These interrelated two-way relationships can be summarized in a simultaneous equation model system. There is a relationship between variables which are in fact dynamic. In the system model of simultaneous equations with dynamic panel data, each structural equation is a dynamic panel data regression equation. The estimation of using Ordinary Least Square (OLS) in the dynamic panel data model results in biased and inconsistent predictors because there is a lag of the dependent variable that correlates with the error. First difference in dynamic panel models is used to eliminate individual effects. Instrument variables are needed, namely variables that do not correlate with errors. Therefore, dynamic panel data models are more suitable to be used in analyzing poverty and social change. From the simultaneous equation model obtained, the dominant factors affecting the level of poverty in Central Java Province are the unemployment rate, Human Development Index, labor force participation rate, population, and Gross Regional Domestic Product.

Model Prediksi Kebutuhan Darah untuk Penderita Talasemia Mayor Dwi Sarwani Sri Rejeki; Putri Pradani; Nunung Nurhayati; Supriyanto Supriyanto
Jurnal Kesehatan Masyarakat Nasional Vol. 8 No. 7 Februari 2014
Publisher : Faculty of Public Health Universitas Indonesia

Pada dua tahun pertama kehidupan penderita talasemia mayor, umumnya menderita anemia dan membutuhkan tranfusi darah. Penelitian ini bertujuan membuat model prediksi kebutuhan darah bagi penderita talasemia mayor. Penelitian observasional dengan desain studi pendekatan potong lintang ini dilakukan pada sampel 79 penderita talasemia mayor yang melakukan transfusi rutin minimal satu bulan satu kali di Rumah Sakit Umum Banyumas, selama tahun 2012. Analisis regresi linier ganda digunakan untuk membuat model prediksi. Hasil penelitian menunjukkan bahwa 80,7% kebutuhan darah penderia talasemia mayor dijelaskan oleh variabel usia, berat badan, dan kadar hemoglobin sedangkan 19,3% dijelaskan oleh sebab-sebab yang lain. Rumus prediksi menyatakan setiap kenaikan usia 1 tahun maka kebutuhan darah akan bertambah sebanyak 0,816 mililiter dan setiap kenaikan 1 kilogram berat badan maka kebutuhan darah akan bertambah 13,4 mililiter serta apabila kadar hemoglobin mengalami penurunan 1 g/dL maka kebutuhan darah akan bertambah sebesar 81 mililiter.Patients with thalassemia major usually present within the first two years of life with severe anemia, need red blood cell transfusion. The objective of this study was to create a prediction model of blood transfusion need for patients with thalassemia mayor. This type of research was observational with cross sectional design. Samples are 79 patients with thalassemia major who perform routine transfusion at least once in a month at Banyumas hospital in 2012. Multiple linier regression analysis was used to create the model. The results showed that 80.7% blood requirements can be explained by variables of weight, haemoglobin level and age, while 19.3% is explained by other causes. Prediction formula states every increment of one year in age, the need for blood will increase by 0.816 millilitres and every increment of one kilogram of body weight, the need for blood will increase 13.4 millilitres, and when the haemoglobin level decreased 1 gr/dL the need for blood will increase by 81 millilitres.

Studi Epidemiologi Deskriptif Talasemia Dwi Sarwani Sri Rejeki; Nunung Nurhayati; Supriyanto Supriyanto; Elva Kartikasari
Jurnal Kesehatan Masyarakat Nasional Vol. 7 No. 3 Oktober 2012
Publisher : Faculty of Public Health Universitas Indonesia

Talasemia adalah penyakit kelainan darah akibat kekurangan atau penurunan produksi hemoglobin. Jumlah penderita talasemia di Yayasan Talasemia Indonesia cabang Banyumas terus meningkat. Tujuan penelitian ini untuk mendeskripsikan karakteristik penderita talasemia di Yayasan Talasemia Indonesia cabang Banyumas tahun 2012. Penelitian kuantitatif dengan desain penelitian cross sectional ini dilakukan terhadap 64 sampel yang diambil dengan teknik proportionate stratified random sampling . Data dikumpulkan meliputi melalui wawancara terstruktur menggunakan kuesioner. Metode analisis yang digunakan adalah analisis deskriptif univariat. Hasil penelitian menunjukkan bahwa penderita talasemia rata-rata berusia 12,28 tahun, berjenis kelamin laki-laki (51,6%), sedang sekolah SD (40,6%), bukan angkatan kerja (92,2%), talasemia β-mayor (90,6%), tidak splenektomi (84,4%), jaminan kesehatan masyarakat (Jamkesmas) (73,4%), kadar feritin ≥ 2000 ng/mL (90,4%), kelasi deferioprone, vitamin C, dan deferioksamin (81,2%), tinggal di Kabupaten Banyumas (79,7%), trans-fusi darah di Rumah Sakit Umum Daerah (RSUD) Banyumas (95,3%), rata-rata terdiagnosis usia 3,7 tahun, usia rata-rata mulai transfusi darah adalah 3,78 tahun. Frekuensi transfusi darah 1 bulan 1 kali (87,5%), dan frekuensi terapi kelasi zat besi mengonsumsi vitamin C 30 kali dalam 1 bulan (95,3%).Kata kunci: Hemoglobin, kelainan darah, talasemia AbstractThalassaemia is blood disorder caused by deficiency or decrease in production/formation of hemoglobin. Number of thalassaemia patients in Yayasan Talasemia Indonesia (Indonesian Thalassemia Foundation) Banyumas branch countinue to increase. The research purpose is to describe the characteristics of thalassemia patients in YTI Banyumas. The research type is a quantitative approach with cross sectional research design. Sample of 64 people taken by proportionate stratified random sampling. Data collected includes characteristics of the respondents based on the variables of people, places, and time was obtained through interviews using a questionnaire. The univariate descriptive analysis were use to describe the characteristics of the respondents. The results showed that thala-ssaemia patients at YTI Banyumas have several characteristics: average age of 12,28 years, male (51,6%), elementary students (40,6%), the laborforce (92,2%), b-thalassemia major (90,6%), no splenectomy (84,4%), Jamkesmas (73,4%), ferritin levels ≥ 2000 ng/mL (90,4%), sailor deferio-prone, vitamin C, and deferioksamin (81,2%), live in Banyumas (79,7%), blood transfusions in hospitals Banyumas (95,3%), the average age of diagnosis of 3,7 years, the average age of starting a blood transfusion was 3,78 years. Once a month blood transfusion (87,5%), and the frequency of iron chelation therapy by consuming vitamin C 30 times in one month (95,3%).Key words: Hemoglobin, blood disorder, thalassemia

PREDIKSI LUAS PANEN DAN PRODUKSI PADI DI KABUPATEN BANYUMAS MENGGUNAKAN METODE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) Supriyanto Supriyanto; Sudjono Sudjono; Desty Rakhmawati
Pro Bisnis Vol 5, No 2: Agustus (2012)
Publisher : Universitas Amikom Purwokerto

Nilai perkiraan produksi padi digunakan untuk mendukung kebijakan pemerintah dalam penanganan isu ketahanan pangan nasional. Selama ini perkiraan produksi padi nasional ditentukan melalui peramalan luas panen dan produktivitas padi yang sering dilakukan oleh Badan Pusat Statistik (BPS). Tujuan penelitian ini adalah menentukan perkiraan luas panen dan produksi padi di wilayah Banyumas untuk tahun 2011 dan 2012 menggunakan metode Adaptive Neuro Fuzzy Inference System (ANFIS). Data yang digunakan adalah data luas panen dan produksi padi sawah di Kabupaten Banyumas dalam kurun waktu tahun 2001 – 2010. Hasil penelitian menunjukkan bahwa perkiraan luas panen dan produksi untuk tahun 2011 dan 2012 adalah 263.619 dan 64.799 hektare dan 314.913 dan 326.839 ton. Tingkat akurasi peramalan yang dihasilkan dengan kriteria Mean Absolute Percentage Error (MAPE), sebesar 3,122 %.

MODEL PENGUKURAN PREFERENSI KONSUMEN MENGGUNAKAN ANALISIS KONJOIN Supriyanto Supriyanto; Sudjono Sudjono; Idah Rosyidah
Pro Bisnis Vol 4, No 1: Februari (2011)
Publisher : Universitas Amikom Purwokerto

In the point of view of marketing, problem that frequently happens in designing the product is a conflict of interest between producer and consumer. To over iomi that problems, conjoint analysis can be used. conjoint analysis is a method that is used to measure cowumer preference of a product. By this method, the characteristic of products which consumer like the most can be lonwn. Then can be used bv producir to make a new product or modifi the product. There are two method ii conioint analysb, they are metric and nonmetric conjoint analysis.

ESTIMASI HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA) MENGGUNAKAN ARTIFICIAL NEURAL NETWORKS (ANN) Supriyanto Supriyanto
Molekul Vol 4, No 1 (2009)
Publisher : Universitas Jenderal Soedirman

The Quantitative structure-Activity Relationship (QSAR) study has been performed on pattern of structure-molecule relationship. Artificial Neural Network (ANN) model used to estimate pattern of enzyme activity structure-molecule and atomic location in three-dimension for compound of flavonoid as the predictors. Value of determination coefficient used to compare between actual value and value of estimating by ANN models based on enzyme’s wavelength, so resulting cross validating is obtained. We use Quasy-Newton algorithm with Broyden-Fletcher-Goldfarb-Shanno (BFGS) procedure.

SISTEM ANTRIAN MODELGEO/G/1 DENGAN VACATION Novita Eka Chandra; Supriyanto Supriyanto; Renny Renny
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 1 No 01 (2015): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Queue processes are stochastic processes which involve the arrival process and the service process. In a queue, there is a condition of servers that become unavailable for a period of time called vacation. The purpose of this research is to analyze the derivation Geo/G/1 queue systems model with vacation and its application. Furthermore, based on simulation on vacation model, with different values of traffic intensity and vacation parameter, we concluded that the bigger traffic intensity and vacation parameter values, then the mean of total number of costumers in a system and the mean of waiting time in the queue that is caused by vacation will be decreased.

PENDEKATAN REGRESI ROBUST DENGAN FUNGSI PEMBOBOT BISQUARE TUKEY PADA ESTIMASI-M DAN ESTIMASI-S Ana Nurbaroqah; Budi Pratikno; Supriyanto Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 1 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.1.5669

Least Square Method is one of methods for estimating of parameters of regression model. Model of least square methods is not valid if there are some disobeydiance in classical assumptions, for example, there are outliers. To resolve the problem, robust regression method is usually used. The method is used because it can detect the outliers and give stable results. In this research, data used is data for human development index of districts in Central Java from 2019 to 2020. Estimation for robust regression method chosen is estimation-M and estimation-s with Tukey Bisquare as a weight function. Criterions for choosing the best model are based on adjusted R-Squared value and mean square error (MSE). The result shows that robust regression model with estimation-M is a better model since it has adjusted R-Squared value tending to one and the least MSE.

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