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  • Institute of Research and Community Services Diponegoro University (LPPM UNDIP)  (13)
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  • Institute of Research and Community Services Diponegoro University (LPPM UNDIP)  (13)
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  • 1
    Online-Ressource
    Online-Ressource
    The Effectivity of Multi Source Feedback (MSF) to Assess Professional Behaviour (Pb) of Nursing Students: An Evaluation Study
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2015
    In:  Nurse Media Journal of Nursing Vol. 5, No. 2 ( 2015-12-21), p. 101-
    Details
    In: Nurse Media Journal of Nursing, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 5, No. 2 ( 2015-12-21), p. 101-
    Kurzfassung: Background: Nurses are requested to give an excellent services to patients not only excellent in skills but also excellent in behaviour which serve comfort to patients. The behaviour is called professional behaviour or soft skill. Purpose: The aim of this research is investigating the effectiveness of MSF in assessing nursing students’ professional behaviour (PB).Methods: The design of the research is an evaluation study which compares the result of PB between before and after joining practice in clinical setting. The participants were thirty three participants consisting of 33 nursing students and 3 mentors. Data were collected using a quantitative approach. The participants are requested to do self and peer assessment using SPRAT modification form while mentors are asked to assess nursing students using the same form. The assessment was conducted twice, before and after joining internship. The data were analysed to compare the score of PB before and after joining the internship among group of participant using Paired sample T-test or dependent sample T test. Result: The results showed that there were differences of score between before and after joining internship with α = 0.000; 0.001; and 0.000 for self, peer, and mentor assessment respectively. There was no difference of score before joining internship among assessors with α = 0.509, and there was a difference of score after joining internship among assessors with α = 0.005. It means that MSF is an effective method to assess PB of nursing students. Conclusion: Applying MSF method to assess PB of nursing student is suggested for better assessment.
    Materialart: Online-Ressource
    ISSN: 2406-8799 , 2087-7811
    URL: Article
    DOI: 10.14710/nmjn.v5i2.10536
    Sprache: Unbekannt
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2015
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 2
    Online-Ressource
    Online-Ressource
    ANALISIS PENDAPATAN USAHATANI PADA PETANI PADI DI KECAMATAN MLONGGO KABUPATEN JEPARA
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2019
    In:  Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Vol. 3, No. 1 ( 2019-05-30), p. 50-58
    Details
    In: Agrisocionomics: Jurnal Sosial Ekonomi Pertanian, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 3, No. 1 ( 2019-05-30), p. 50-58
    Kurzfassung: Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis tingkat pendapatan usahatani padi dan menganalisis faktor-faktor produksi yang mempengaruhi pendapatan usahatani padi di Kecamatan Mlonggo Kabupaten Jepara. Penelitian ini telah dilaksanakan pada bulan Februari - Maret 2018 di Kecamatan Mlonggo Kabupaten Jepara. Metode penelitian yang digunakan yaitu dengan metode survei yaitu dengan cara wawancara menggunakan kuesioner. Penentuan jumlah responden menggunakan slovin dengan jumlah responden 100 petani yang diambil dari 8 desa yang ada di Kecamatan Mlonggo Kabupaten Jepara. Metode yang digunakan untuk menentukan sampel yaitu dengan Quota Sampling dan Accidental Sampling. Quota Sampling digunakan untuk menentukan responden petani atas dasar jumlah atau jatah yang telah ditentukan dari setiap desa yang ada di Kecamatan Mlonggo. Accidental Sampling digunakan untuk menentukan responden petani sebanyak 100 petani secara langsung menemui petani yang berada di sawah. Hasil penelitian menunjukkan bahwa rata-rata produksi 1.947 kg/MT/0,5Ha. Rata-rata biaya produksi yang dikeluarkan oleh petani adalah Rp 7.529.623,-/0,5Ha. Rata-rata penerimaan petani padi adalah Rp 16.454.048,-/0,5Ha sehingga besar rata-rata pendapatan petani padi di Kecamatan Mlonggo Kabupaten Jepara per musim taman adalah Rp 8.924.425,-/0,5Ha. Rata-rata pendapatan petani per bulan adalah Rp 1.487.404,- lebih rendah dibandingkan upah minimum regional (UMR) Kabupaten Jepara yaitu Rp 1.600.000,-. Faktor-faktor yang mempengaruhi pendapatan petani padi adalah biaya pestisida (X1) dan biaya lahan (X5). Sementara itu, faktor biaya pupuk (X2), biaya bibit dan tenaga kerja (X4) tidak mempengaruhi pendapatan petani padi di Kecamatan Mlonggo Kabupaten Jepara.  
    Materialart: Online-Ressource
    ISSN: 2621-9778 , 2580-0566
    URL: Article
    DOI: 10.14710/agrisocionomics.v3i1.4018
    Sprache: id
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2019
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 3
    Online-Ressource
    Online-Ressource
    KOMPETENSI NOTARIS DALAM PEMBUATAN PERJANJIAN SYARIAH (Tinjauan Dari Perspektif Hukum Ekonomi Syariah)
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2020
    In:  Notarius Vol. 13, No. 1 ( 2020-03-08), p. 170-180
    Details
    In: Notarius, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 13, No. 1 ( 2020-03-08), p. 170-180
    Materialart: Online-Ressource
    ISSN: 2686-2425 , 2086-1702
    URL: Article
    DOI: 10.14710/nts.v13i1.29171
    Sprache: Englisch
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2020
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 4
    Online-Ressource
    Online-Ressource
    Gambaran Intervensi Perawat dalam Asuhan Keperawatan Pasien Tuberkulosis Paru di Rumah Sakit
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2019
    In:  Holistic Nursing and Health Science Vol. 2, No. 2 ( 2019-11-29), p. 1-9
    Details
    In: Holistic Nursing and Health Science, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 2, No. 2 ( 2019-11-29), p. 1-9
    Kurzfassung: Introduction: The nurses’ role within nursing care of tuberculosis patients in hospitals is  very important. Nurses problem are preparing nursing interventions in patients with pulmonary tuberculosis rarely use the standard Nursing Intervention Classification (NIC). Independent nursing interventions are not in accordance with the diagnoses established by nurses, so the impact on the implementation needed by patients is not in accordance with the problems occured. Collaborative intervention is mostly carried out by nurses compared to independent intervention. Nurses must arrange nursing interventions based on the standard of nursing diagnoses that are enforced. The objective study was to describe the interventions compiled by nurses at the hospital.Methods: Research design was qualitative research with observational approach. Sample was 100 nurse’s documentastions  of  pulmonary tuberculosis patient  in TB MDR ward. Data analysis used language and text analysis with content analysis. Results: The results research was the highest 10 interventions written by nurses is intervention about observe general condition of patient was 83 times, collaboration with  doctor’s therapy was 54 times, give comfort position was 54 times, give therapy was 47 times, check vital signs regulerly was 40 times, give oxigen was 34 times, advise to bedrest was 30 times, teach  to effective cough was 25 times, Give position semi fowler was 15% times, and teach to deep breath was 15 times. Conclusion: Nurses must improve their skills and knowledge in preparing treatment plans, because the interventions that have been prepared have not been optimal for dealing with patient problems in hospitals. Interventions to improve patient knowledge and abilities in the management of the disease are important to give to patients. 
    Materialart: Online-Ressource
    ISSN: 2622-4321
    URL: Article
    DOI: 10.14710/hnhs.2.2.2019.1-9
    Sprache: id
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2019
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 5
    Online-Ressource
    Online-Ressource
    FACTORS INFLUENCING INTENTION TO USE E-GOVERNMENT SERVICES AMONG STUDENTS IN UNIVERSITAS SEBELAS MARET, INDONESIA
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2023
    In:  Dialogue : Jurnal Ilmu Administrasi Publik Vol. 5, No. 1 ( 2023-06-25)
    Details
    In: Dialogue : Jurnal Ilmu Administrasi Publik, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 5, No. 1 ( 2023-06-25)
    Kurzfassung: This study aims to examine the factors that influence the intention of students to use e-government. The study used a survey method with 102 students as respondents from various study departments at Universitas Sebelas Maret, Indonesia, in 2021. The analysis was carried out using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) with the test R-square, path coefficients, outer loading, cross-loading, average variance extracted (AVE), Cronbach's alpha, and composite reliability. The results showed that students' desire to use or access e-government was positively and significantly influenced by students' trust in the government. Students trust to government is influenced by factors perceived usefulness, perceived ease of use, and security risk. The limitation of this research is that there is no analysis of the mediation test and moderation test.
    Materialart: Online-Ressource
    ISSN: 2685-3582
    URL: Issue
    URL: Article
    DOI: 10.14710/dialogue.v5i1
    DOI: 10.14710/dialogue.v5i1.17339
    Sprache: Englisch
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2023
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 6
    Online-Ressource
    Online-Ressource
    KLASTERISASI PROVINSI DI INDONESIA BERDASARKAN FAKTOR PENYEBARAN COVID-19 MENGGUNAKAN MODEL-BASED CLUSTERING t-MULTIVARIAT
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2022
    In:  Jurnal Gaussian Vol. 11, No. 1 ( 2022-05-13), p. 56-66
    Details
    In: Jurnal Gaussian, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 11, No. 1 ( 2022-05-13), p. 56-66
    Kurzfassung: The spread of Covid-19 had a significant impact in all sectors. Enforcement policies from the government that are appropriate with the conditions for the spread of the virus that are needed to prevent a bigger impact. Clusteritation by province based on data on the spread of Covid-19 is important for the government to set appropriate policies in order to prevent the spread of Covid-19. The data used include data on population density, testing rate, proportion of population 50 years and over, and proportion of population diligently hand-washing in each province. The data factors for the spread of Covid-19 tend to overlap and there are outliers in the data which causes the data not normally distributed. In this study, Model-Based Clustering t-multivariate was used for data clustering. The results show that using Integrated Completed Likelihood, two groups of optimal cluster were obtained. The second cluster has a higher risk of spreading Covid-19 than the first cluster. Keywords : Covid-19, Clustering, Model-Based Clustering t-Multivariat
    Materialart: Online-Ressource
    ISSN: 2339-2541
    URL: Article
    DOI: 10.14710/j.gauss.v11i1.33999
    Sprache: id
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2022
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 7
    Online-Ressource
    Online-Ressource
    Hubungan Efikasi Diri dengan Kecemasan Menyusun Skripsi pada Mahasiswa Keperawatan
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2021
    In:  Holistic Nursing and Health Science Vol. 4, No. 1 ( 2021-06-08), p. 1-7
    Details
    In: Holistic Nursing and Health Science, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 4, No. 1 ( 2021-06-08), p. 1-7
    Kurzfassung: Introduction: Students who writing their thesis experience difficulties during the COVID-19 pandemic result in anxiety. The feeling can arise due to a low self-efficacy that view difficult experiences as threats and think about the possibility of failure. Previous studies show different relationship between self-efficacy and anxiety thus requires further research particularly in seeking the relationship of self-efficacy and anxiety on thesis’s writing among undergraduate nursing students.Methods: This study was a correlational study with all of undergraduate nursing students who is writing a thesis as the population. Subjects (112 students) were selected by a proportionate stratified random sampling method. Questionnaires used in this study were General Self-Efficacy Scale (GSES) and Zung Self Rating Anxiety Scale (ZSRAS). Data analysis was performed by Pearson Correlation tests.Results: Main results distinguished that there is a negative relationship between self-efficacy and anxiety of undergraduate nursing students who is writing a thesis with r = -0.445 which is indicate that the relationship between two variable is strong enough.Discussion: Students need to make a list of goals to be achieved, so they are encouraged to try to achieve these goals more. Moreover, students can conduct a variety of things to reduce their anxiety. 
    Materialart: Online-Ressource
    ISSN: 2622-4321
    URL: Article
    DOI: 10.14710/hnhs.4.1.2021.1-7
    Sprache: id
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2021
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 8
    Online-Ressource
    Online-Ressource
    Tingkat Depresi Mahasiswa Keperawatan di Tengah Wabah COVID-19
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2020
    In:  Holistic Nursing and Health Science Vol. 3, No. 1 ( 2020-06-30), p. 1-8
    Details
    In: Holistic Nursing and Health Science, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 3, No. 1 ( 2020-06-30), p. 1-8
    Kurzfassung: Introduction: The emergence of the COVID-19 pandemic affected the mental health of students. Students feel stressed and sad, anxious, frustrated, confused and do not know how to overcome their conditions. Depression occurs because of negative thinking about oneself and others, so special management is needed in the midst of a COVID-19 pandemic. The aim of this study was to provide an overview of the depression levels of students in the pandemic.Methods: The method in this study was a quantitative research with cross sectional approach. Descriptive analysis is used to provide a description of the level of depression that occurs in students. Data collection used the Beck Deperession Inventory II (BDI II), sampling used a total sample of 148 respondents (students with an average age of 18-20 years old). The process of collecting data is done by using the google form survey method.Results: Students experienced mild mood disorders (25.7%), severe depression (12.2%), low depression (8.1%), moderate depression (0,7%) and extreme (0.7%).Conclusion: Depression in the pandemic of COVID-19 requires special attention in management to prevent mental disorders.
    Materialart: Online-Ressource
    ISSN: 2622-4321
    URL: Article
    DOI: 10.14710/hnhs.3.1.2020.1-8
    Sprache: id
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2020
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 9
    Online-Ressource
    Online-Ressource
    PERAMALAN HARGA EMAS DUNIA DENGAN MODEL GLOSTEN-JAGANNATHAN-RUNCLE GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2022
    In:  Jurnal Gaussian Vol. 11, No. 2 ( 2022-08-28), p. 290-301
    Details
    In: Jurnal Gaussian, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 11, No. 2 ( 2022-08-28), p. 290-301
    Kurzfassung: Gold investment is considered safer and has less risk than other types of investment. One of the important knowledge in investing in gold is predicting the price of gold in the future through modeling the price of gold in the past. The purpose of this study is to model the gold price in the past so that it can be used to predict gold prices in the future. The world gold price data is a time series data that has heteroscedasticity properties, so the time series model used to solve the heteroscedasticity problem is GARCH. This study has an asymmetric effect, so the asymmetric GARCH model is used, namely the Glosten-Jagannathan-Runkle GARCH (GJR-GARCH) model to model the world gold price data. The data is divided into in-sample data from January 3, 2012 to December 31, 2018 to create a world gold price model and out-sample data from January 1, 2019 to December 31, 2020, which is used to evaluate model performance based on MAPE values. The best model is the ARIMA(1,1,0) GJR-GARCH(1,1) model with a MAPE data out sample value of 18,93% which shows that the performance of the model has good forecasting abilities.
    Materialart: Online-Ressource
    ISSN: 2339-2541
    Originaltitel: PERAMALAN HARGA EMAS DUNIA DENGAN MODEL GLOSTEN-JAGANNATHAN-RUNCLE GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY
    URL: Article
    DOI: 10.14710/j.gauss.v11i2.35477
    Sprache: Englisch , Englisch
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2022
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 10
    Online-Ressource
    Online-Ressource
    K-NEAREST NEIGHBOR DENGAN ADAPTIVE BOOSTING DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE UNTUK KLASIFIKASI DATA TIDAK SEIMBANG
    Institute of Research and Community Services Diponegoro University (LPPM UNDIP) ; 2023
    In:  Jurnal Gaussian Vol. 12, No. 2 ( 2023-07-28), p. 231-241
    Details
    In: Jurnal Gaussian, Institute of Research and Community Services Diponegoro University (LPPM UNDIP), Vol. 12, No. 2 ( 2023-07-28), p. 231-241
    Kurzfassung: Breast cancer is non-skin cancer that is caused by several factors, including glandular ducts, cells, and breast support tissue, except for the skin of the breast. Breast cancer if not treated immediately will be fatal for the sufferer, so early detection of breast cancer is important for the patient's safety. The success of breast cancer detection depends on the right diagnosis. Measurement of the accuracy of a breast cancer diagnosis can be assisted by statistical methods, namely classification. K-Nearest Neighbor is a classification algorithm based on the nearest neighbor that is easy to implement. In the classification process, there are several problems including when faced with imbalanced data. Imbalanced data can cause classification algorithms to tend to focus on the majority class. Data imbalance can be overcome by using Synthetic Minority Oversampling Technique (SMOTE). Ensemble methods can be applied to improve the performance of imbalanced data classification, one of which is Adaptive Boosting. This study applies K-Nearest Neighbor combined with Adaptive Boosting and SMOTE for handling imbalanced data classification. The results of this study are, SMOTE can handle the problem of imbalanced data and the application of K-Nearest Neighbor with Adaptive Boosting can produce an accuracy of 80%, a sensitivity of 83,33%, a specificity of 66,67%, and a G-Mean value of 74,54%. So it can be concluded that K-Nearest Neighbor combined with Adaptive Boosting and SMOTE can be applied for handling imbalanced data classification. 
    Materialart: Online-Ressource
    ISSN: 2339-2541
    URL: Article
    DOI: 10.14710/j.gauss.12.2.231-241
    Sprache: Englisch
    Verlag: Institute of Research and Community Services Diponegoro University (LPPM UNDIP)
    Publikationsdatum: 2023
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
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