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All Journal Techno.Com: Jurnal Teknologi Informasi Forum Ilmu Sosial JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Jurnal Penelitian Pendidikan IPA (JPPIPA) Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Pemerintahan dan Kebijakan (JPK) Journal of Governance and Social Policy
Imam Yuadi
Universitas Airlangga
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Social Sciences Other

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Analisis Bibliometrik Pajak Minuman Berpemanis dalam Kemasan (MBDK) Kezia Rahmawati Santosa; Imam Yuadi
Transparansi : Jurnal Ilmiah Ilmu Administrasi Vol 6, No 1: Juni 2023
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/transparansi.v6i1.3185

Abstract

Packaged sweetened drinks are drinks that have been processed and packaged, which usually contain added sweeteners such as sugar, corn syrup, or sugar substitutes such as aspartame, sucralose, or stevia. This study aims to analyze the development of taxes on packaged sweetened drinks. The data were obtained from a database published by Scopus from 2013 to 2023. The keywords used to obtain results that are in accordance with the bibliometric research are sugar sweetened beverages tax. The bibliometric data analyzed and visualized using VosViewer obtained 2658 keywords, there were 254 keywords that match the requirements on the display of sweetened drink tax, and there were 17337 links or the number of relationships in the visualized data. In addition, this analysis also uses biblioshiny with wordcloud visualization of themes or subjects that are connected to sugar sweetened beverages.
Analisis Sentimen Evaluasi Reaksi E-Learning Menggunakan Algorima Naïve Bayes, Support Vector Machine Dan Deep Learning Nurul Firdausy; Imam Yuadi; Ira Puspitasari
Techno.Com Vol 22, No 3 (2023): Agustus 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i3.8160

Abstract

Evaluasi reaksi atau evaluasi kepuasan merupakan bentuk evaluasi paling umum digunakan dalam pelatihan karena kemudahan dan sifatnya yang lekat dengan pelatihan. Meskipun mengandung wawasan yang dapat bernilai dalam peningkatan kualitas penyelenggaraan pelatihan, namun penelitian terkait reaksi peserta masih sangat terbatas. Penelitian ini bertujuan melakukan analisis sentiment terhadap evaluasi reaksi peserta e-learning menggunakan algoritma Naïve Bayes, Support Vector Machine dan Deep Learning. Reaksi peserta berupa komentar diklasifikasikan ke dalam kategori apresiasi, saran dan kritik. Hasil penelitian menunjukkan model Naïve Bayes memiliki kinerja yang lebih baik dibandingkan SVM dan Deep Learning dalam prediksi sentimen komentar peserta dengan tingkat akurasi, presisi dan recall masing-masing sebesar 82,54%, 68,08% dan 69,81%. Prediksi sentiment reaksi peserta menggunakan model Naïve Bayes diperoleh hasil 70% berupa apresiasi, 16% berupa saran dan 14% merupakan kritik. Penelitian ini memberikan kontribusi praktis analisis evaluasi reaksi pelatihan dan menambah literatur implementasi text mining pada domain human resource analytics. 
Bahasa Inggris Irvan Zidny; Ira Puspitasari; Imam Yuadi
Jurnal Penelitian Pendidikan IPA Vol. 9 No. 8 (2023): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i8.4531

Abstract

This study presents a novel approach to assist learning analysts in identifying suitable learning pathways based on historical training data through the utilization of text mining techniques. The dataset utilized in this research comprises training data from the year 2021 and the Course Development Management Program (CDMP) catalogue. The BERT 'bert-base-nli-mean-tokens' model is employed for encoding purposes. By comparing the training data names from 2021 with the CDMP catalogue using cosine similarity and dot score, valuable insights are obtained. The findings indicate that cosine similarity is a more effective measure for interpreting the data, thereby simplifying the process for learning analysts and managers in identifying appropriate learning paths for their employees. This research provides a practical solution that leverages text mining techniques to optimize the analysis and decision-making processes in learning and development domains, enabling organizations to enhance the effectiveness and efficiency of their training programs.
Trends in Knowledge Management within Open Government Artha Rachma Widiastuti; Imam Yuadi
Forum Ilmu Sosial Vol 50, No 1 (2023): June 2023
Publisher : Faculty of Social Science, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/fis.v50i1.44996

Abstract

In realizing the aspirations as a democratic nation, the provision of high-quality information transparency by the government is essential, especially for the legislative body as the people's representation. To transform information into a fundamental consideration for public policies, effective knowledge management is needed from the community, who act as active users of this information transparency. This study aims to analyze the trends in research concerning knowledge management and open government. Data sources were obtained through the Web of Science for publications from 2019 to 2023, focusing on the fields of political science, management, and social reform. The applied method utilized bibliometric analysis with tools such as VOSviewer and Biblioshiny. The study's results identified a total of 2251 keywords, which were then refined to 259 keywords through data selection. From the VOSviewer analysis, the study yielded 1144 links and 4 clusters, indicating the interconnectedness among keywords. This interconnectedness was further illustrated through Network Visualization, Overlay Visualization, and Density Visualization. Meanwhile, the Biblioshiny analysis, conducted using the R Application, involved visualizations like WordCloud, TreeMap, and Trend Topics related to the keywords.
Digital Government Dalam Menciptakan Transparansi Pelayanan Publik: Suatu Analisis berdasarkan Perspektif Bibliometrik Safina Innaf Mia Ardelia; Imam Yuadi
Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Vol 7, No 2 (2023): Tibanndaru: Jurnal Ilmu Perpustakaan dan Informasi
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/tb.v7i2.2937

Abstract

Tujuan Penelitian. Penelitian ini bertujuan untuk menganalisis perkembangan penelitian digital government. Penelitian ini menjadi penting untuk dikaji karena membahas mengenai kehadiran digital government yang menjadi salah satu inovasi dari pemerintah untuk menjawab tuntutan masyarakat atas persoalan pelayanan publik selama ini. E-government merupakan inisiatif penggunaan TIK untuk meningkatkan efisiensi, akuntabilitas, transparansi, dan efektivitas kinerja pemerintah dalam pemberian layanan publik yang lebih baik. Metode penelitian. Metode penelitian yang digunakan dalam penelitian ini yaitu pendekatan kuantitatif dengan menggunakan analisis bibliometrik. Data analisis. Data dianalisis dan divisualisasikan menggunakan perangkat lunak Vosviewer berdasarkan network visualization, overlay visualization, dan density visualization. Selain itu, digunakan pula aplikasi biblioshiny untuk menganalisis dan memvisualisasi data berdasarkan worldcloud, co-occurrence network, dan thematic map. Hasil Penelitian. Analisis bibliometrik dengan visualisasi menggunakan VosViewer menemukan 4 cluster dari 157 item kata kunci terkait. Cluster pertama berwarna merah 54 items dengan kata kunci terbesar “sector”. Sedangkan analisis bibliometrik menggunakan biblioshiny menunjukkan bahwa “e-government” merupakan kata yang paling dominan digunakan oleh para peneliti.
Analisis Bibliometrik Pelayanan Publik untuk Penyandang Disabilitas Marsaa Salsabiila; Imam Yuadi
Jurnal Pemerintahan dan Kebijakan (JPK) Vol 4, No 3 (2023): August
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jpk.v4i3.18782

Abstract

Pelayanan publik untuk penyandang disabilitas saat ini masih menjadi topik pembahasan yang perlu banyak dikaji. Masih banyak pelayanan publik yang tidak ramah akses untuk para penyandang disabilitas.  Pelayanan publik yang tidak merata untuk para penyandang disabilitas yang dimana jumlah penyandang disabilitas tergolong cukup banyak menimbulkan adanya rasa iri atas ketimpangan yang diberikan oleh pemerintah kepada masyarakat. Tujuan penelitian ini adalah mengetahui perkembangan riset dalam melihat perkembangan pelayanan publik untuk penyandang disabilitas.  Metode penelitian menggunakan analisis bibliometrik dalam memberikan gambaran terkait sebaran publikasi studi pada bidang pelayanan publik terkhususnya pelayanan publik untuk penyandang disabilitas. Analisis bibliometrik ini menerapkan limit dalam penentuan data yang akan digunakan dalam penelitian dengan melihat pertumbuhan penelitian terkait pelayanan publik untuk penyandang disabilitas. Hasil dari penerapan limit kemudian di export dalam format RIS dan BibTex. Format RIS digunakan pada visualisasi menggunakan bantuan aplikasi VOSviewer. Sedangkan format BibTex digunakan pada visualisasi menggunakan  bantuan aplikasi Biblioshiny. Hasil akhir analisis bibliometrik ini adalah memvisualisasi jurnal dan penulis yang relevan dengan topik bahasan dan analyze result yang menghasilkan visualisasi dari bidang kategori yang relevan, jenis dokumen, afiliasi yang turut berkontribusi, persebaran wilayah, dan tingkat publikasi setiap tahun dari data 145 data dokumen. Visualisasi yang dihasilkan dari analisis bibliometrik ini selain dapat mempermudah memperoleh data dan memahami aspek-aspek pendukung dalam pembahasan pelayanan publik untuk penyandang disabilitas. Dapat juga memahami ada beberapa aspek yang kurang diteliti dalam adanya pelayanan publik untuk disabilitas.
Forecasting Employee Potential through Probationary Assessment Asradiani Novia; Imam Yuadi
JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Vol 9 No 2 (2023): September
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jbmp.v9i2.1718

Abstract

Effective corporate governance necessitates the continual nurturing and cultivation of employee potential for long-term professional success. However, assessing an employee's potential and performance objectively and consistently from the start of their career presents a substantial difficulty in reducing any mismatches with the company's goals and expectations. This study introduces a predictive methodology that uses probationary employee performance to map their potential. The study focuses on Performance (Y-axis) and Potential (X-axis) variables using data from 265 employees at Company X who went through a probationary period. Various machine learning models, including Logistic Regression, Naive Bayes, k-NN, SVM, and Decision Tree, were used to analyze data using Orange Data Mining software. The Logistic Regression model has the highest accuracy, at 90% (0.906). Validity testing, using the Confusion Matrix, allowed individuals to be classified into nine potential groups, in accordance with the 9-Box Matrix Talent Management paradigm. This classification provides HR with a strategic tool for tailoring career development strategies based on expected potential within their respective sectors.
Research Mapping on Personal Data Protection Policy Frisca Maria Unas; Imam Yuadi
Journal of Governance and Social Policy Vol 4, No 2 (2023): DECEMBER 2023
Publisher : Department of Government Studies, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/gaspol.v4i2.32478

Abstract

The need for Personal Data Protection must be supported by policies that are able to guarantee the security of personal information so that it is not misused by irresponsible persons. The development of research on personal data protection policy can be a good reference for the government and stakeholders in formulating policies that can guarantee the security of personal data. This study aims to determine research trends and explain the relationship between keywords and researchers in research articles on personal data protection policies. This study uses the bibliometric analysis method assisted by the VOS Viewer and Biblioshiny Rstudio tools so that it can display interesting network visualization. The findings from this study are the development of research publications on related topics from year to year, mapping of subject areas of research publications on related topics, mapping of countries of origin of research publications on related topics, relationships between authors/researchers, relationships between keywords from a number of research articles on related topics, distribution of journals that publish research articles on related topics,  and productivity of researchers/writers of articles on related topics. The results of this study can help researchers find novelty opportunities and use appropriate reference sources in conducting research on related topics
Co-Authors Artha Rachma Widiastuti Asradiani Novia Frisca Maria Unas Ira Puspitasari Irvan Zidny Kezia Rahmawati Santosa Marsaa Salsabiila Nurul Firdausy Safina Innaf Mia Ardelia