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Pembauran (Confounding) Pada Percobaan Faktorial Tiga Taraf Afandi, Nur; Nugroho, Sigit; Novianti, Pepi
GRADIEN : Jurnal Ilmiah MIPA Vol 8, No 1 (2012): (Januari 2012)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.476 KB)

Abstract

Pada percobaan faktorial tiga taraf, perlakuan yang dihasilkan cukup besar bahkan untuk jumlah faktor yang sedikit. Besarnya perlakuan yang dihasilkan ini terkadang menyulitkan peneliti untuk memperoleh blok lengkap yang homogen. Tujuan dari penulisan artikel ini adalah mengkaji sistem pembauran pada percobaan faktorial tiga taraf. Metode yang digunakan adalah studi literatur dan teladan penerapan. Dari hasil penelitian disimpulkan bahwa penggunaan blok tak lengkap mengakibatkan tercampurnya beberapa pengaruh perlakuan dengan pengaruh blok. Hal inilah yang disebut sebagai Sistem Pembauran (System of Confounding). Penempatan perlakuaan ke dalam blok-blok tak lengkap dilakukan berdasarkan pengaruh utama faktor atau interaksi yang terbaur dengan pengaruh blok.   
Uji Median Pengaruh Utama dan Interaksi dalam Percobaan Berfaktor Nugroho, Sigit
GRADIEN : Jurnal Ilmiah MIPA Vol 3, No 2 (2007): (Juli 2007)
Publisher : Universitas Bengkulu

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Abstract

Factorial experiments with fixed effects in randomized complete block design can be modeled as Yijk = ? + ?i +? j +?k + (?? ) jk +? ijk i =1, 2,...,b j = 1, 2,...,t k = 1, 2,...,m . To test main effects and its interaction when basic assumptions are met is using the F test (ANOVA). Nonparametric alternative testing for maineffects median and interaction median is discussed in this paper.   
Perbandingan Analisis Diskriminan dan Analisis Regresi Logistik Ordinal dalam Prediksi Klasifikasi Kondisi Kesehatan Bank Fajri Zufa; Sigit Nugroho; Mudin Simanihuruk
Jurnal Matematika Vol 7 No 2 (2017)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2017.v07.i02.p86

Abstract

The purpose of this research is to compare the accuracy of bank classification prediction based on Capital Adequacy Ratio (CAR), Earning Asset Quality (EAQ), Non Performing Loan (NPL), Return on Assets (ROA), Net Interest Margin (NIM), Short Term Mismatch (STM) and Loan to Deposit Ratio (LDR). Discriminant analysis and ordinal logistic regression analysis are compared in classifying the prediction. The data used are secondary data, namely data classification of bank conditions in Indonesia in 2014 obtained from research institute PT Infovesta Utama. Based on Apparent Error Rate (APER) score obtained, it can be said that discriminant analysis is better in predicting the classification of bank conditions in Indonesia than that of ordinal logistic regression analysis. Discriminant analysis has the average prediction accuracy of 80%, while ordinal logistic regression analysis has the average prediction accuracy of 74,38%.
Analisis Kejadian Gempa Bumi Tektonik di Wilayah Pulau Sumatera Jose Rizal; Sigit Nugroho; Adi Irwanto; , Debora
Jurnal Matematika Vol 6 No 1 (2016)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2016.v06.i01.p63

Abstract

The purpose of this study to get an overview of the earthquakes in Sumatra. The method used is descriptive statistics and models Autoregressive Fractionally Integrated Moving Average (ARFIMA). The result from analysis data yielded a mathematical model to predict the amount of tectonic earthquakes that occur every month in Sumatra is ARFIMA (4,0.350,3) with a value of RMSE is 0,040??. While the best model for the average magnitude of the many tectonic earthquakes that occur every month in Sumatra is ARFIMA (1,0.310,3) with a value of RMSE is 0.013. Based on the model results obtained forecast frequency earthquake and the average magnitude for the three periods ahead, namely the first period 21 times with an average magnitude is 4,91 SR , the second period will occur 14 times with an average magnitude is 4.94 SR and the third period will occur 20 times with an average magnitude is 4,96 SR.
Pengaruh Kecerdasan Emosional Dan Sikap Terhadap Organizational Citizenship Behaviour Karyawan Pt Toyota Agung Automall Bengkulu Rendy Alpahrasy; Sigit Nugroho; Trisna Murni
Student Journal of Business and Management Vol. 4 No. 1 (2021)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/sjbm.4.1.136-158

Abstract

The purpose of this study is aimed to know how influence of emotional intelligence and attitude on employee?s performance of PT Toyota Agung Automall Bengkulu. The subject of this study are employee who have worked on PT Toyota Agung Automall Bengkulu. Data were collected via questionnaires and questionnaire was distributed directly to respondents, namely by giving questionnaires directly to employee of PT Toyota Agung Automall Bengkulu, while respondent amount 84 effective samples were collected to verify the hypotheses of this study. For data analysis and hypotheses testing, multiple linier regresion techique was used. Sampling techinique in this study using census method where census method used data collection is done by investigating one by one the entire population. Pursuant of data analysis obtained results that is emotional intelligence have a positive and significantly effect on organizational citizenship behaviour of employee and attitude have significantly effect on organizational citizenship behaviour of employee.
PENGARUH KEPRIBADIAN DAN MOTIVASI TERHADAP PERILAKU CARING PERAWAT DI RSUD KABUPATEN KAUR Yogi Rahmatin Hasanah; Sigit - Nugroho; Praningrum - -
Student Journal of Business and Management Vol. 4 No. 2 (2021)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/sjbm.4.2.350-380

Abstract

The research objectives were (1) to determine the effect of personality on nurses 'caring behavior (2) to determine the effect of work motivation on nurses' caring behavior. This type of research is quantitative research, the population is all nurses in Kaur Hospital, amounting to 54 people, the sample was taken by the census method as many as a total of a population of 54 people. The data were collected using an online questionnaire survey and analyzed using multiple linear regression analysis, determination test and hypothesis testing. The results showed that personality had a positive and significant effect on the caring behavior of nurses at Kaur District Hospital. This means that the better the nurse's personality, the higher the caring behavior. Conversely, the worse the nurse's personality, the lower the caring behavior. Motivation has a positive and significant effect on the caring behavior of nurses at the Kaur District Hospital. This means that the higher the nurse's motivation, the higher the caring behavior. Conversely, the lower the nurse's motivation, the lower the caring behavior. The suggestion of this research is that the Kaur District Regional Hospital can hold soft skill training for all nurses at the Kaur Regency Regional Hospital on an ongoing basis. The training is expected to grow and improve the positive personality of nurses so that they are skilled in applying care Then increase the motivation of nurses through a reward system, for example displaying photos of beautiful nurses per month, providing rewards in the form of materials, training and so on, so that these driving factors can further increase the motivation of nurses to behave caring.
Pendampingan Mitigasi Bencana Gempa Bumi dan Tsunami Berbasis Pengetahuan Lokal pada Masyarakat Rentan Bencana di Kabupaten Mukomuko Bengkulu Dian Agustina; Etis Sunandi; Sigit Nugroho
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2020): May 2020
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/engagement.v4i1.102

Abstract

The first objective of this activity is to increase knowledge and understanding of the rescue procedures, evacuation routes, and emergency response plans when a large earthquake occurs. The second objective is to increase the knowledge and ability to mobilize available resources. With this knowledge and capability, the community can choose and sort out the resources that must be prioritized, so that losses can be reduced as little as possible. Referring to the results of the study, reducing the impact of earthquake and tsunami disaster risk is greatly influenced by emergency response plan factors, disaster warning system factors, knowledge factors, policy and guidance factors, and the ability of team mobilization. The conclusion obtained from the results of this activity is that the Air Rami Sub-district community gained increased knowledge and understanding of earthquake and tsunami mitigation. This can be seen from the enthusiasm of stakeholders and the public in participating in socialization activities. It is also supported by the Wilcoxon statistical test, the result showed that socialization increases public knowledge in understanding disaster mitigation, especially earthquakes and tsunamis.
Strategy to Accelerate Sustainable Development in the Health Field in Bengkulu Province Tajri Fauzan; Sigit Nugroho; Izharudin Izharudin
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 5 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i5.1063

Abstract

This research aims to determine a strategy to accelerate the reduction of maternal mortality, infant mortality and stunting and to describe the acceleration of sustainable health development in Bengkulu Province. This research was designed as descriptive research with a correlational investigation and intervention study; namely, the research wanted to find significant variables related to the problem with minimum intervention. The sample in this study used a clustering technique (Cluster Random Sampling), using primary and secondary data. Primary data in this research uses a questionnaire. Meanwhile, the collected data will be tested using validity and reliability tests on research instruments. Meanwhile, to achieve the objectives of this research, data analysis will be carried out using the SWOT test. The research results found that strategies to accelerate the reduction of maternal mortality can be carried out by providing training or education to health cadres, adding skilled health workers, providing supporting facilities related to accelerated access to health services, providing education about the benefits of nutritious and balanced food to improve health. Meanwhile, the strategy to accelerate the reduction in child mortality is to assist in processing drinking water suitable for consumption, provide fast access to services with a community pick-up program, and create a health service program with early detection of diseases in pregnant women. Meanwhile, strategies to accelerate the reduction in stunting rates include providing assistance to treat stunting, providing education about nutritious and balanced food, and health service programs with early disease detection in expectant mothers. There are still many shortcomings; it is recommended that further researchers add research indicators to the variables studied and use the AHP and FGD analysis methods.
PERFORMANCE COMPARISON OF SEMIPARAMETRIC KERNEL REGRESSION USING EPANECHNIKOV, GAUSSIAN, AND, BIWEIGHT KERNELS IN MODELING LIFE EXPECTANCY IN INDONESIA Cinta Rizki Oktarina; Sigit Nugroho; Idhia Sriliana; Putri Suci Aria
Jurnal Matematika UNAND Vol. 15 No. 3 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.3.406-417.2026

Abstract

Life expectancy is a crucial indicator of population health and socioeconomic development, and its relationship with explanatory variables often exhibits both linear and nonlinear patterns. This study employs a semiparametric kernel regression approach to model life expectancy in Indonesia by integrating parametric and nonparametric components. Undernutrition is modeled parametrically, while access to improved drinking water and the illiteracy rate are treated as nonparametric predictors to flexibly capture their nonlinear effects. The nonparametric component is estimated using the Nadaraya–Watson kernel estimator, whereas parameter estimation is conducted using the Ordinary Least Squares method. Several kernel functions are evaluated, and the optimal kernel and bandwidth are selected based on the minimum Generalized Cross-Validation (GCV) criterion. The results indicate that the Gaussian kernel with an optimal bandwidth of (100, 100) yields the best performance. The proposed model demonstrates excellent accuracy, with a coefficient of determination of 99.99% and a very low Root Mean Square Error (RMSE). These findings confirm that semiparametric kernel regression is a flexible and reliable method for modeling life expectancy and other public health indicators characterized by complex relationships.
Upaya Peningkatan Kemampuan Pengolahan Data Penelitian Bagi Mahasiswa Melalui Pelatihan Program R Nurul Hidayati; Sigit Nugroho; Jose Rizal; Nur Afandi
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 7 No. 1 (2024): April : Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Open Sourse R  adalah suatu software statistika yang popular, lengkap, dan berlisensi gratis sehingga terhindar dari tuntutan hukum saat mengolah dan menganalisis data hasil penelitian serta memiliki visualisasi grafik yang lebih canggih dan menarik dibandingkan software Statistika lainnya. Oleh karena itu, tim pengabdian tertarik untuk melakukan kegiatan pengabdian untuk memberikan pelatihan pengolahan data penelitian melalui program R bagi mahasiswa di Universitas Islam Negeri Fatmawati Soekarno (UIN-FAS), Fakultas Tarbiyah dan Tadris, Prodi Tadris Bahasa Indonesia, Prodi Tadris IPA, dan Prodi Tadris Matematika. dikarenakan mahasiswanya belum mengenal program R dalam pengolahan data. Tujuan dari kegiatan PPM yaitu meningkatkan pengetahuan dan keterampilan mahasiswa tentang teknik pengoperasian program R dalam pengolahan data penelitian dan  meningkatkan kemampuan mahasiswa dalam menginterpretasikan hasil dari pengolahan data statistik berbasis penelitian. Tahapan-tahapan dalam kegiatan ini, yaitu tahap persiapan, pelaksanaan, dan evaluasi (pre test dan post test). Evaluasi kegiatan yaitu pre test dan post test menunjukkan bahwa terdapat perbedaan rata-rata hasil belajar antara pre test dan post test. Hal ini mengindikasikan bahwa ada pengaruh pelatihan terhadap peningkatan pengolahan data dengan menggunakan program R pada mahasiswa. Jadi, dapat ditarik suatu kesimpulan bahwa kegiatan PPM ini dikatakan cukup berhasil dalam menambah wawasan, ilmu pengetahuan, dan keterampilan bagi mahasiswa.   Kata Kunci: statistika, program, data