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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Communications in Science and Technology Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Asean Journal of Science and Engineering (AJSE) Indonesian Journal of Community and Special Needs Education (IJCSNE) Brilliance: Research of Artificial Intelligence Automotive Experiences ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology
Al Husaeni, Dwi Novia
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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How to Search and Cite References from Google Scholar Al Husaeni, Dwi Novia; Al Husaeni, Dwi Fitria; Nandiyanto, Asep Bayu Dani
ASEAN Journal of Educational Research and Technology Vol 2, No 3 (2023): AJERT: VOLUME 2, ISSUE 3, December 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

Each scientific paper contains references that can be used as a means of accountability for the author. Therefore, references are things that must be considered in writing scientific papers. The purpose of this study is to provide an example and demonstrate an easy way to cite and search for references from Google Scholar. The research method used is an experiment method with a literature study. An internet connection is required to open the Google Scholar search engine. The steps of this research consist of looking for articles in journals, getting citations, and building reference styles. There are several reference styles used in writing scientific papers, such as APA, MLA, Vancouver, Harvard, Chicago/Turabian, and IEEE styles. We identified that Google Scholar can be used as a tool that can assist in finding writing sources. Even though it requires an internet connection, Google Scholar makes it easy for writers to choose the reference style to use by using the "cite" button.
The Research Trend of Statistical Significance Test: Bibliometric Analysis Al Husaeni, Dwi Fitria; Al Husaeni, Dwi Novia; Fiandini, Meli; Nandiyanto, Asep Bayu Dani
ASEAN Journal of Educational Research and Technology Vol 3, No 1 (2024): AJERT: VOLUME 3, ISSUE 1, March 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

A significance test is a test that can determine whether a research hypothesis is accepted or not. Therefore, significance tests need to be carried out, especially for researchers who will conduct research related to hypothesis testing. This research discusses publication trends regarding significance tests. This research aims to analyze research trends regarding statistical significance tests using bibliometric analysis methods assisted by mapping analysis. Bibliometric analysis methods and mapping analysis with VOSviewer were used in this research. The data source was taken from the Google Scholar database in the period 2013 - 2023. The total number of documents found during the last 10 years was 1000 documents. Based on the research results, it was found that the number of publications regarding statistical significance tests has decreased every year. From a total of 281 documents in 2013 to 7 documents in 2023. The results of article data mapping produce three forms of visualization, namely network, overlay, and density visualization. The mapping results show that research on statistics still needs to be carried out, especially regarding significance tests. This research concluded that the trend of research discussing statistical significance tests is decreasing, although, in terms of its use, it is still very important, especially in processing quantitative research data.
Design Blockchain Architecture for Population Data Management to Realize a Smart City in Cimahi, West Java, Indonesia Nugroho, Eddy Prasetyo; Afrianto, Irawan; Piantari, Erna; Anisyah, Ani; Al Husaeni, Dwi Novia; Bisulthon, Ibrahim Danial; Jundurrahmaan, Irham
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27493

Abstract

Smart city as a concept of city development which integrates information and communication technology with the intention of optimizing city management becomes a major goal for Indonesia, especially through the movement towards 100 Smart Cities. However, population data management is crucial in achieving this for optimal planning and management. Personal data protection becomes a crucial challenge with the rapid population growth and mobility in cities. The need for a more reliable protection system is very necessary. This research proposes a blockchain architecture that not only manages digital identities but also population data. The focus is population administration in Cimahi City, West Java, with the hope of providing security, transparency, and a strong audit trail for all population data. The contribution of this research is to design a blockchain architecture specifically for population data management, meeting the needs of population administration in cities, especially the city of Cimahi. Through a blockchain architecture development approach, this research considers the diverse administrative needs of the population and applies a blockchain model that enables data security and integrity. This implementation of blockchain architecture provides promising results in maintaining the security and integrity of population data, enabling greater transparency and auditability. This implementation of blockchain architecture provides promising results in maintaining the security and integrity of population data, enabling greater transparency and auditability. This research also shows that the use of blockchain technology specifically for population data management can be a reliable and innovative solution in ensuring the security and reliability of data important for smart city development.However, this research has limited access to central data, so the data obtained is still very limited. Therefore, further research is needed to follow up on these limitations. Apart from that, this research is also expected to provide knowledge and solutions in securing data, especially population data in government environments.
Co-Authors Al Husaeni, Dwi Fitria Al Obaidi, Abdulkareem Sh. Mahdi Anisyah, Ani Asep Bayu Dani Nandiyanto Bisulthon, Ibrahim Danial Chalim, Saefuddin Chano, Jiraporn Eddy Prasetyo Nugroho Erlangga, E. Fadhillah, Farid Fiandini, Meli Hammouti, Belkheir Herniwati, H. Hofifah, Siti Nur Irawan Afrianto Judiasri, Melia Dewi Jundurrahmaan, Irham Kusnendar, Jajang Lala Septem Riza M. Munir Nuria Haristiani Obaidi, Abdulkareem Sh. Mahdi Al Piantari, Erna Prabawa, Harsa Wara Ragadhita, Risti Rasim, R. Roestamy, Martin Rokhman, Mauhibur Santoso, Yoga Budhi Wahyudin, W.