PENGARUH PERAN PENDAMPINGAN BIDAN DESA TERHADAP PENGEMBANGAN DESA SIAGA DI KABUPATEN BLITAR

Hendro Subagyo, 540907108. 2008. The Influence of the Role Effect Village Midwife on the development of Desa Siaga At Kabupaten Blitar. Thesis of Post Graduate Program Sebelas Maret University. Developing of Desa Siaga, seeing from point of view when midwifes as a facilitator has not prepared. Same factors can cause including a job of midwife as a state officer and Independent Practical Midwifery it self. This condition to shoulder midwife to do the job. The aim of the research was to find about the influence of the role effect village midwife on the development of Desa Siaga. The research was associate observational with cross sectional approach. All population a total of 59 midwives were randomly using stratified proportion random sampling. Using questionnaire on variable measurement. Multiple regression analysis was used for analyzing facilitator, motivator and catalyst. F test and T test were used for hypothesis. The t-value of the role of facilitator, motivator and catalyst was 77.549, 8.010 and 6.783, (p<0.05). There was statistically significant effect. followed by F test showed F-value 95.049 and P-value 0.00 (p <0.05) all the role of midwives had simultaneously significant effect. The big facilitator midwife role was caused the role is never separated from official midwife that becomes of health center as a responsible implementation of program development to support villages health. Those two different roles with a similar aim will easier, as a facilitator midwives to facilitate, motivate and accelerate/catalyst in developing of Desa Siaga. The conclusion showed that there was influence of the role effect village midwife on the development of Desa Siaga At Kabupaten Blitar. Keywords: Midwife role, facilitator, motivator, Catalyst and Desa Siaga

ANALYZING THE IMPACT OF RESAMPLING METHOD FOR IMBALANCED DATA TEXT IN INDONESIAN SCIENTIFIC ARTICLES CATEGORIZATION

The extremely skewed data in artificial intelligence, machine learning, and data mining cases are often given misleading results. It is caused because machine learning algorithms are designated to work best with balanced data. However, we often meet with imbalanced data in the real situation. To handling imbalanced data issues, the most popular technique is resampling the dataset to modify the number of instances in the majority and minority classes into a standard balanced data. Many resampling techniques, oversampling, undersampling, or combined both of them, have been proposed and continue until now. Resampling techniques may increase or decrease the classifier performance. Comparative research on resampling methods in structured data has been widely carried out, but studies that compare resampling methods with unstructured data are very rarely conducted. That raises many questions, one of which is whether this method is applied to unstructured data such as text that has large dimensions and very diverse characters. To understand how different resampling techniques will affect the learning of classifiers for imbalanced data text, we perform an experimental analysis using various resampling methods with several classification algorithms to classify articles at the Indonesian Scientific Journal Database (ISJD). From this experiment, it is known resampling techniques on imbalanced data text generally to improve the classifier performance but they are doesn’t give significant result because data text has very diverse and large dimensions

METODE PENILAIAN KUALITAS DATA SEBAGAI REKOMENDASI SISTEM REPOSITORI ILMIAH NASIONAL

High quality data and data quality assessment which efficiently needed to data standardization in the research data repository. Three attributes most used i.e: completeness, accuracy, and timeliness are dimensions to data quality assessment. The purposes of the research are to increase knowledge and discuss in depth of research done. To support the research, we are using traditional review method on the Scopus database to identify relevant research. The literature review is limited for the type of documents i.e: articles, books, proceedings, and reviews. The result of document searching is filtered using some keywords i.e: data quality, data quality assessment, data quality dimensions, quality assessment, data accuracy, dan data completeness. The document that found be analyzed based on relevant research. Then, these documents compare to find out different of concept and method which used in the data quality metric. The result of analysis could be used as a recommendation to implement in the data quality assessment in the National Scientific Repository

Repository of Biodiversities’ Research Data

Indonesian researchers from various institution have done many scientific research activities in the field of biodiversity. Many of them documented in each institution. Online availability of Indonesian biodiversity data still becomes a challenge. To support access and preservation, we develop a framework that could integrate biodiversity data and information among the institution. We develop repositories as a place to share and preserve research result. Besides that, the repository is a tool to disseminate information for the stakeholder. This paper will discuss our challenges to develop a repository and provide a brief explanation of information dissemination related to repositories

Pengaruh Peringkas Dokumen Otomatis Dengan Penggabungan Metode Fitur Dan Latent Semantic Analysis (LSA) Pada Proses Clustering Dokumen Teks Berbahasa Indonesia

Penyimpulan adalah proses pengumpulan bagian yang paling penting dari sebuah sumber dokumen yang menghasilkan versi yang lebih singkat. Metode yang dianggap paling layak untuk melakukan penyimpulan adalah metode berbasis fitur dan LSA (Latent Semantic Analysis). Pengklusteran adalah proses pengelompokan dokumen yang mempunyai kesamaan topik. Metode yang paling seringd ilakukan adalah LSA dimana SVD (Singular Value Decomposition) digunakan untuk menghubungkan semantik antara istilah dan kalimat begitu juga dengan dokumen. SVD juga mengurangi dimensi yang besar dari matriks dokumen istilah. Yang bersama dengan metode Feature Selection melakukan pengurangan fitur. Tesis ini memeriksa pengaruh metode penggabungan fitur dan metode LSA pada penyimpulan pada kumpulan data yang hasilnya akan diklusterkan berdasarkan pada LSA dimana SVD dilakukan bersamaan dengan metode seleksifitur. Uji coba yang dilakukan pada 150 dokumen dari 5 topik dengan beberapa kombinasi metode fitur metode LSA dan kedua metode digabungkan, pada tingkatan penyimpulan yang diintegrasikan tingkatan klusterisasi berdasarkan pada LSA dengan nilai k 12 dan metode kontribusi tema pemilih tema terbimbing memperlihatkan pengaruh yang besar pada metode yang digabungkan pada tahapan penyimpulan yang mendapatkan hasil akurasi 93.33%  dan waktu komputasi yang relatif cepat berkisar 57 detik dengan proporsi penggabungan seperti berikut : Kesimpulan LSA + 50% kesimpulan Fitur+20% seleksifitur+ Klusterisasi LSA

Penerapan knowlodge management pada organisasi

xii, 174.:ilus,: 23 c

Understanding The Effects Of Bank Rating On Stock Return In Indonesia

This study aims to analyze the development and soundness of banks from financial performance ratios in banking companies listed on the IDX in 2016-2021 using the RGEC approach; analyze the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2016-2019 or before Covid19; analyzed the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2020-2021 or during the Covid-19 pandemic. The sample consisted of the banking sub-sector listed on the IDX in the period 2016 to 2021. The data analyzed using the RGEC method. Based on the calculation of bank rating (bank soundness level), it can be seen that the key figures for the risk profile, GCG, earning and equity (RGEC) in the banking sub-sector listed on the IDX developed well in 2016-2021 in the banking sector on average from 39 banks studied. There are 11 Banks that are in Composite Rating 1 (Very Healthy), 25 Banks are on Composite Rating 2 (Healthy) and 3 Banks are on Composite Rating 3 (Sufficiently Healthy). Based on the results of panel regression tests in 2016-2019 (before Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 28.89% of bank stock returns and 71.11% of stock returns are influenced by other factors outside the variables studied. However, based on the p-value results, the variables NPL, GCG, NIM and CAR have no significant effect on bank stock returns, while the LDR and ROA variables have a significant effect on stock returns. In general, the soundness of banks listed on the IDX is in a healthy condition. Whereas the results of panel regression tests in 2020-2021 (after Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 4.93% of bank stock returns and 95.07% of stock returns are influenced by other factors outside the variables studied. However, based on the results of the p-value variables, NPL, LDR, GCG, ROA, NIM and CAR have no significant effect on bank stock returns. However, in general, the health level of banks listed on the IDX during the Covid-19 pandemic is in a healthy condition

Penerapan knowledge management pada organisasi

xii, 175 hlm. : ilus. ; tab. ; 23 cm