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All Journal Publikauma : Jurnal Administrasi Publik Universitas Medan Area Jurnal Informasi dan Teknologi International Journal of Sustainable Applied Sciences (IJSAS)
Nursalim
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Pengaruh Implementasi Kebijakan Kependudukan dan Kualitas Pelayanan Terhadap Kepuasan Masyarakat Toding, Lukas; Mahsyar, Abdul; Nursalim
Publikauma : Jurnal Administrasi Publik Universitas Medan Area Vol. 12 No. 1 (2024): PUBLIKAUMA, JUNI 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/publika.v12i1.10874

Abstract

Riset berikut ini memiliki tujuan untuk menggali informasi yang mendalam mengenai sejauh mana implementasi kebijakan pemerintah pusat tentang kependudukan di tingkat kabupaten, khususnya di Kabupaten Tana Toraja Selain itu, penelitian ini juga menilai kualitas layanan publik yang disediakan oleh Dinas Kependudukan dan Catatan Sipil di kabupaten tersebut. Selanjutnya, penelitian ini akan mengeksplorasi bagaimana kedua faktor ini memengaruhi tingkat kepuasan masyarakat dalam proses pengurusan KTP elektronik. Pendekatan penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian ex-post facto. Sampel penelitian terdiri dari 100 responden yang dipilih secara acak berdasarkan kriteria ketersediaan dan kelayakan responden. Pengumpulan data melalui kuisioner. Data kemudian dianalisis sesara statistik menggunakan analisis deskriptif dan regresi linear berganda. Hasil penelitian menunjukkan bahwa dalam konteks pengurusan KTP elektronik di Kabupaten Tana Toraja. Implementasi kebijakan kependudukan memiliki pengaruh positif meskipun tidak signifikan terhadap kepuasan masyarakat, dengan koefisien regresi sebesar 0.187. Sementara itu, kualitas pelayanan publik memiliki pengaruh signifikan terhadap kepuasan masyarakat, dengan koefisien regresi sebesar 0.492. Penelitian ini memberikan wawasan penting bagi pihak berwenang dalam meningkatkan pelayanan publik dan kebijakan kependudukan di tingkat daerah guna memenuhi harapan dan kepuasan masyarakat
Improving Congnitive Skills Through Loose Part Media in Group B of the Principal State Kindergarten of Waisai, Raja Ampat District Dewi Murniasih; Nursalim; Ismail Marzuki
International Journal of Sustainable Applied Sciences Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijsas.v1i6.1049

Abstract

This research was motivated by children's lack of creativity in creating and selecting appropriate learning media for students. Because it is still dominated by Children's Worksheets (LKA). The aim of this research is to describe the use of loose parts media to develop creativity in early childhood as well as supporting and inhibiting factors for the use of loose parts media in the Pembina Waisai State Kindergarten. This research uses qualitative field research methods. The data source was taken from the B1 group of the Pembina Waisai State Kindergarten. Research instruments include observation, interviews and documentation. Meanwhile, the data analysis technique uses Miles and Huberman analysis which consists of data reduction, data presentation and drawing conclusions. The results obtained from this research show that the use of loose parts media in learning plays a role in developing creativity in early childhood by carrying out all stages of using loose parts media using playing strategies, tidying up and storing things as well as various strategies for increasing creativity (product creation, imagination , exploration, and experimentation). In this regard, the supporting factors for the use of loose parts media lie in the role of good teachers and parents as well as the availability of a variety of loose parts media around the school environment and the inhibiting factors lie in children's interests and moods which cannot be conditioned properly.
Application of the K-Nearest Neighbor Algorithm Method to Analyze Netizen Responses and Reactions Toward the Relocation of Capital City at social media Ziaul Haq, Muhammad; Sri Wahyuningsih, Suluh; Nursalim; Nuryanto, Uli Wildan; Rachman, Andy
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.458

Abstract

Sentiment analysis is a form of natural language processing that uses word analysis to ascertain people's thoughts, feelings, and views on a certain topic. In this study, word processing refers to the procedure used to categorize written texts into positive and negative emotion categories. Using data crawling techniques, information on public comments on the relocation of Indonesia's capital was gathered from Twitter social media. Keywords related to the move included "new capital," "moving capital," and "moving capital with 10,000 comments." The author of this work classified test data and training data using a lexical approach using the K-Nearest Neighbor (K-NN) method. The purpose of this study is to evaluate the K-NN algorithm's accuracy, error rate, precision, f-measure, and recall. In order to identify the ideal parameters, tests were also conducted on calculating the k value in the K-Nearest Neighbor (K-NN) method. Testing the K-Nearest Neighbor (K-NN) method yielded the greatest accuracy level of 60% with a k value of 9, concluding with the initial data collection. The K-Nearest Neighbor (K-NN) technique was evaluated in the second data collection, and with a k value of 5, it had the best accuracy level of 70%. Future scholars might create texts in languages other than Indonesian and categorize those that include visuals in them. Next, add more dictionaries to the collection and extract features from bigrams, trigrams, quadgrams, and other combinations. You may then employ several algorithmic techniques in the accuracy calculation feature.
Co-Authors Abdul Mahsyar Andy Rachman Dewi Murniasih Ismail Marzuki Sri Wahyuningsih, Suluh Toding, Lukas Uli Wildan Nuryanto Ziaul Haq, Muhammad