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  • 1
    Online Resource
    Online Resource
    Universitas Esa Unggul ; 2022
    In:  Indonesian of Health Information Management Journal (INOHIM) Vol. 10, No. 1 ( 2022-06-30), p. 01-09
    In: Indonesian of Health Information Management Journal (INOHIM), Universitas Esa Unggul, Vol. 10, No. 1 ( 2022-06-30), p. 01-09
    Abstract: AbstractThe COVID-19 pandemic had become a global crisis that had a widespread impact on other sectors such as the economic and labor markets. The health sector is one of the sectors affected by COVID-19 in terms of labor demand. In addition to the need for health labor for handling COVID-19 and the demand for health labor in other job positions, technical and non-technical roles are still needed during the pandemic. Several big data sources can be used as proxies to see the impact of the COVID-19 pandemic. This study aims to obtain an overview of the effect of the COVID-19 pandemic on the workforce needs in the health sector, especially in the Java-Bali region. The data was sourced from online job vacancy sites with web scraping methods. Data on the number of job advertisements originating from online job vacancy sites was used to see the changes in labor demand for companies in the health sector. The analysis results show that the pandemic impacted the decrease in job advertisements in the health sector in the Java-Bali region. Furthermore, there was a clear relationship between the decline in the number of job advertisements with the stringency index of governments’ policies designed to stop the spread of COVID-19. In 2021, vacancies for technical job positions such as doctors, nurses, dentists, and pharmacists are still widely offered and tend to increase compared to the previous year. Meanwhile, non-technical job vacancies such as receptionist, administration, and marketing tend to decrease in 2021.Keyword: big data, health sector, job vacancy  AbstrakPandemi COVID-19 telah menjadi krisis global yang memberikan dampak luas pada sektor lainnya seperti sektor ekonomi dan pasar tenaga kerja. Sektor kesehatan merupakan salah satu sektor yang terdampak dari sisi permintaan tenaga kerja. Selain kebutuhan tenaga kesehatan untuk penanganan COVID-19, permintaan tenaga kesehatan pada posisi pekerjaan yang lain baik posisi pekerjaan teknis maupun non-teknis tentunya masih tetap dibutuhkan selama masa pandemi. Beberapa sumber big data terbukti dapat menjadi proksi yang baik untuk melihat dampak pandemi COVID-19. Penelitian ini bertujuan untuk mendapatkan gambaran dampak pandemi COVID-19 terhadap kebutuhan tenaga kerja di sektor kesehatan khususnya di wilayah Jawa-Bali dengan menggunakan pendekatan big data. Data yang digunakan bersumber dari situs lowongan kerja online dengan metode pengumpulan data web scraping. Data jumlah iklan lowongan yang berasal dari situs lowongan kerja online digunakan untuk melihat bagaimana gambaran perubahan permintaan tenaga kerja pada perusahaan di sektor kesehatan. Hasil analisis yang dilakukan menunjukkan bahwa pandemi COVID-19 telah berdampak terhadap penurunan jumlah iklan lowongan kerja pada sektor kesehatan di wilayah Jawa-Bali. Terdapat hubungan yang jelas antara penurunan jumlah iklan lowongan kerja dengan indeks keketatan kebijakan pemerintah yang dirancang untuk menghentikan penyebaran COVID-19. Pada tahun 2021, lowongan posisi pekerjaan teknis seperti dokter, perawat, dokter gigi, dan apoteker masih banyak ditawarkan dan cenderung meningkat dibandingkan tahun sebelumnya. Sedangkan lowongan posisi pekerjaan non-teknis seperti resepsionis, administrasi dan marketing cenderung menurun di tahun 2021.Kata Kunci: big data, lowongan pekerjaan, sektor kesehatan 
    Type of Medium: Online Resource
    ISSN: 2655-9129 , 2354-8932
    URL: Issue
    Language: Unknown
    Publisher: Universitas Esa Unggul
    Publication Date: 2022
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  • 2
    Online Resource
    Online Resource
    Universitas Ngudi Waluyo ; 2019
    In:  Indonesian Journal of Pharmacy and Natural Product Vol. 2, No. 1 ( 2019-04-08)
    In: Indonesian Journal of Pharmacy and Natural Product, Universitas Ngudi Waluyo, Vol. 2, No. 1 ( 2019-04-08)
    Abstract: Hipertensi merupakan faktor penting sebagai pemicu penyakit tidak menular seperti penyakit kardiovaskuler yang lain. Kepatuhan minum obat bagi pasien penyakit kronis seperti  hipertensi sangat penting karena dengan minum obat secara teratur dapat mengontrol tekanan darah pasien.Penelitian ini bertujuan untuk menganalisis faktor apa saja yang mempengaruhi kepatuhan minum obat pasien hipertensi di puskesmas pringapus kabupaten semarang. Penelitian ini menggunakan desain deskriptif analitik menggunakan pendekatan cross sectional Study, Pengumpulan data dilakukan secara prospektif dengan cara memberikan kuisioner MMAS-8 kepada pasien yang memenuhi kriteria inklusi dan eksklusi. Hasil penelitian menunjukkan dari 41 pasien yang mengisi kuisioner 15 pasien memiliki tingkat kepatuhan tinggi dan 26 pasien memiliki tingkat kepatuhan rendah. Hasil analisis hubungan antara kepatuhan dan faktor yang memungkinkan memberikan pengaruh adalah sebagai berikut kelamin = 0,15; umur = 0,56; pendidikan = 0,03; pekerjaan = 0,78; lama terapi = 0,42; jenis obat hipertensi yang didapatkan = 0,59 serta banayaknya obat yang dikonsumsi = 0,66. Dari hasil yang didapatkan dapat disimpulkan bahwa faktor pendidikan berpengaruh signifikan terhadap kepatuhan minum obat pasien hipertensi sedangkan faktor kelamin, umur, pekerjaan, lama terapi, jenis obat hipertensi yang didapatkan serta banayaknya obat yang dikonsumsi tidak  berpengaruh signifikan  terhadap kepatuhan minum obat pasien.Kata kunci : Kepatuhan, obat, hipertensi, prolanis, MMAS-8Hypertension is an important factor as a trigger for non-communicable diseases such as cardiovascular diseases. The adherence in using drugs for patients with chronic diseases such as hypertension is very important because taking medication regularly can control a patient's blood pressure. This study aims to analyze what factors influence compliance with taking medication for hypertensive patients at the pringapus health center in Semarang district. This study used a descriptive analytic design using a cross sectional study approach. Data collection was conducted prospectively by giving MMAS-8 questionnaire to patients who met the inclusion and exclusion criteria. The results showed that from 41 patients who filled out the questionnaire 15 patients had a high level of adherence and 26 patients had a low level of adherence. The results of the analysis of the relationship between adherence and the enabling factors for influencing were the following sex = 0.15; age = 0.56; education = 0.03; employment = 0.78; duration of therapy = 0.42; the type of hypertension drug obtained = 0.59 and the drug consumed is usually = 0.66. From the results obtained it can be concluded that educational factors have a significant effect on adherence to taking medication for hypertensive patients while genital factors, age, occupation, duration of therapy, types of hypertension drugs obtained and usually the drugs consumed do not significantly influence compliance with patient medication.Keywords: Compliance, medication, hypertension, prolanis, MMAS-8
    Type of Medium: Online Resource
    ISSN: 2615-6903 , 2656-3215
    URL: Issue
    Language: Unknown
    Publisher: Universitas Ngudi Waluyo
    Publication Date: 2019
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  • 3
    Online Resource
    Online Resource
    University of Boras, Faculty of Librarianship, Information, Education and IT ; 2020
    In:  Information Research: an international electronic journal Vol. 25, No. 4 ( 2020)
    In: Information Research: an international electronic journal, University of Boras, Faculty of Librarianship, Information, Education and IT, Vol. 25, No. 4 ( 2020)
    Abstract: Introduction. This research aims to study a novel approach to producing tourism statistics, especially accommodation statistics, in Indonesia using scraping of online travel agent Websites. Method. Accommodation data (e.g., room availability and price) were gathered from two of the largest online travel agencies in Indonesia. All data were collected automatically from the sites’ URLs listed in the sitemap. Analysis. The data were collected daily from 6 March to 27 July 2019. Datasets from the two Websites were merged. The room occupation rate (ROR) for each province was calculated and compared with the official statistics from Statistics Indonesia. Results. The results show that the online room occupancy rates and official statistics have a similar pattern indicating the use of the Web scraping technique provides valuable information, to measure the room occupation rate with an advantage in terms of cost and collection time. Conclusions. It is feasible to use big data as a proxy of or a complement to official statistics, especially in tourism statistics. By using the Web scraping technique, the indicator that usually requires significant time and cost can be done in real-time and less cost. This new approach would improve the quality of tourism statistics produced by BPS Statistics Indonesia.
    Type of Medium: Online Resource
    ISSN: 1368-1613
    URL: Issue
    Language: Unknown
    Publisher: University of Boras, Faculty of Librarianship, Information, Education and IT
    Publication Date: 2020
    detail.hit.zdb_id: 1465186-5
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  • 4
    Online Resource
    Online Resource
    IOS Press ; 2022
    In:  Data Science Vol. 5, No. 2 ( 2022-07-20), p. 79-95
    In: Data Science, IOS Press, Vol. 5, No. 2 ( 2022-07-20), p. 79-95
    Abstract: Digital Economy in recent years, especially in Southeast Asia, including Indonesia, is growing rapidly. E-commerce is one part of the Digital Economy. BPS-Statistics Indonesia as a Non-ministerial Government Agency responsible directly to the president has conducted an E-commerce Survey in 2019. From this publication, it is concluded that the interest of Indonesian traders using the internet in selling in recent years has increased. So, the urgency of using e-commerce data in its application in official Statistics is increasingly needed. Several studies have carried out the application of e-commerce data in the calculation of The Consumer Price Index (CPI). In this research, e-commerce data is applied with a case study using the data from one of online marketplaces in Indonesia in calculating CPI at city level in Java. The purpose of this study is to compare the marketplace-based CPI data and BPS-Statistics’ survey-based CPI. The data is collected through web scraping techniques and followed by preprocessing data and analyzed descriptively. Web scraper that is built can be used in obtaining data. Commodity-level CPI with marketplace data tends to have relatively large prices which result in higher CPI being compared to BPS-Statistics CPI. Meanwhile, at the expenditure group level, the CPI between the two approaches is broadly similar in general.
    Type of Medium: Online Resource
    ISSN: 2451-8492 , 2451-8484
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2022
    detail.hit.zdb_id: 2928784-4
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  • 5
    Online Resource
    Online Resource
    Universitas Udayana ; 2022
    In:  Jurnal Matematika Vol. 11, No. 2 ( 2022-01-10), p. 102-
    In: Jurnal Matematika, Universitas Udayana, Vol. 11, No. 2 ( 2022-01-10), p. 102-
    Abstract: Abstract: Covid-19 which entered Indonesia in December 2019 has a significant impact on the aviation industry. According to BPS data for 2020, the aviation industry's contribution to Indonesia's GDP decreased from 1.21% to 0.28% in the second quarter of 2020. To overcome this setback, comprehensive monitoring by policy makers is needed. The use of big data in monitoring aviation industry activities can be an option. This study aims to analyze aviation activities using big data approach for monitoring basis. The data was collected by using web scraping method on one of the global aviation websites to obtain flight status data at 108 airports in Indonesia on April 2020 until June 2021. Other data used are google mobility index data, GDP data, and TPK. The analysis method used are descriptive analysis, correlation analysis and machine learning based time series modelling with ARNN, single layer ANN and MLP. The results show that the policy of restricting mobility has a significant effect on the productivity of aviation industry. Machine learning modeling shows that the MLP model is the best model for forecasting international aviation activity. In addition, it was found that the aviation industry has a strong correlation with the economy and tourism sector in Indonesia.
    Type of Medium: Online Resource
    ISSN: 2655-0016 , 1693-1394
    URL: Issue
    Language: Unknown
    Publisher: Universitas Udayana
    Publication Date: 2022
    detail.hit.zdb_id: 2908497-0
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  • 6
    Online Resource
    Online Resource
    IOP Publishing ; 2018
    In:  Journal of Physics: Conference Series Vol. 971 ( 2018-03), p. 012049-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 971 ( 2018-03), p. 012049-
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2018
    detail.hit.zdb_id: 2166409-2
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  • 7
    In: Twin Research and Human Genetics, Cambridge University Press (CUP), Vol. 19, No. 2 ( 2016-04), p. 97-103
    Abstract: Monozygotic (MZ) twins stem from the same single fertilized egg and therefore share all their inherited genetic variation. This is one of the unequivocal facts on which genetic epidemiology and twin studies are based. To what extent this also implies that MZ twins share genotypes in adult tissues is not precisely established, but a common pragmatic assumption is that MZ twins are 100% genetically identical also in adult tissues. During the past decade, this view has been challenged by several reports, with observations of differences in post-zygotic copy number variations (CNVs) between members of the same MZ pair. In this study, we performed a systematic search for differences of CNVs within 38 adult MZ pairs who had been misclassified as dizygotic (DZ) twins by questionnaire-based assessment. Initial scoring by PennCNV suggested a total of 967 CNV discordances. The within-pair correlation in number of CNVs detected was strongly dependent on confidence score filtering and reached a plateau of r = 0.8 when restricting to CNVs detected with confidence score larger than 50. The top-ranked discordances were subsequently selected for validation by quantitative polymerase chain reaction (qPCR), from which one single ~120kb deletion in NRXN1 on chromosome 2 (bp 51017111–51136802) was validated. Despite involving an exon, no sign of cognitive/mental consequences was apparent in the affected twin pair, potentially reflecting limited or lack of expression of the transcripts containing this exon in nerve/brain.
    Type of Medium: Online Resource
    ISSN: 1832-4274 , 1839-2628
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2016
    detail.hit.zdb_id: 2184274-7
    SSG: 12
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  • 8
    In: Mathematics, MDPI AG, Vol. 11, No. 19 ( 2023-10-09), p. 4219-
    Abstract: Triclustering is a data mining method for grouping data based on similar characteristics. The main purpose of a triclustering analysis is to obtain an optimal tricluster, which has a minimum mean square residue (MSR) and a maximum tricluster volume. The triclustering method has been developed using many approaches, such as an optimization method. In this study, hybrid δ-Trimax particle swarm optimization was proposed for use in a triclustering analysis. In general, hybrid δ-Trimax PSO consist of two phases: initialization of the population using a node deletion algorithm in the δ-Trimax method and optimization of the tricluster using the binary PSO method. This method, when implemented on three-dimensional gene expression data, proved useful as a Motexafin gadolinium (MGd) treatment for plateau phase lung cancer cells. For its implementation, a tricluster that potentially consisted of a group of genes with high specific response to MGd was obtained. This type of tricluster can then serve as a guideline for further research related to the development of MGd drugs as anti-cancer therapy.
    Type of Medium: Online Resource
    ISSN: 2227-7390
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2704244-3
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  • 9
    Online Resource
    Online Resource
    American Scientific Publishers ; 2018
    In:  Advanced Science Letters Vol. 24, No. 9 ( 2018-09-01), p. 6882-6885
    In: Advanced Science Letters, American Scientific Publishers, Vol. 24, No. 9 ( 2018-09-01), p. 6882-6885
    Type of Medium: Online Resource
    ISSN: 1936-6612
    Language: English
    Publisher: American Scientific Publishers
    Publication Date: 2018
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  • 10
    Online Resource
    Online Resource
    Politeknik Statistika STIS ; 2021
    In:  Jurnal Aplikasi Statistika & Komputasi Statistik Vol. 13, No. 2 ( 2021-12-31), p. 1-14
    In: Jurnal Aplikasi Statistika & Komputasi Statistik, Politeknik Statistika STIS, Vol. 13, No. 2 ( 2021-12-31), p. 1-14
    Abstract: Penelitian merupakan salah satu tugas utama institusi pendidikan, dimana dosen adalah motor dalam pengembangan penelitian. Pemetaan dosen berdasarkan pola kolaborasi serta topik yang dikaji dibutuhkan sebagai salah satu dasar untuk pengembangan kualitas dan kuantitas penelitian. Penelitian ini bertujuan untuk menganalisis pola kolaborasi antar dosen serta topik utama dari hasil penelitian dosen Politeknik Statistika STIS. Analisis penelitian ini menggunakan metode Social Network Analysis (SNA) dan Latent Dirichlet Allocation (LDA). Dari hasil analisis terlihat pola hubungan kolaborasi penelitian antar dosen serta dosen dengan posisi sentral pada proses kolaborasi tersebut. Kemudian dari hasil LDA terlihat beberapa topik-topik utama dari publikasi ilmiah seperti implementasi analisis regresi, kemiskinan, serta analisis data panel dalam bidang ekonomi.
    Type of Medium: Online Resource
    ISSN: 2615-1367 , 2086-4132
    URL: Issue
    Language: Unknown
    Publisher: Politeknik Statistika STIS
    Publication Date: 2021
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