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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Ilmiah Teknologi dan Rekayasa Techno.Com: Jurnal Teknologi Informasi MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Forum Ilmu Sosial Jurnal Adabiya Edulib Lentera Pustaka Jurnal Kajian Informasi & Perpustakaan JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Jurnal Tamaddun Populis : Jurnal Sosial dan Humaniora Publication Library and Information Science Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Jurnal Khatulistiwa Informatika HIGIENE: Jurnal Kesehatan Lingkungan JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Jurnal Pilar Nusa Mandiri Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL YAQZHAN: Analisis Filsafat, Agama dan Kemanusiaan Indonesian Journal of Artificial Intelligence and Data Mining JRST (Jurnal Riset Sains dan Teknologi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Angkasa: Jurnal Ilmiah Bidang Teknologi Martabe : Jurnal Pengabdian Kepada Masyarakat International Journal of Community Service Learning JURNAL GOVERNANSI Cakrawala: Jurnal Litbang Kebijakan Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Kesehatan Medical Technology and Public Health Journal Applied Technology and Computing Science Journal Jurnal Ekonomi Manajemen Sistem Informasi Dinasti International Journal of Education Management and Social Science Journal of Economics, Business, and Government Challenges MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Jurnal Informasi dan Teknologi Jatilima : Jurnal Multimedia Dan Teknologi Informasi Responsive: Jurnal Pemikiran dan Penelitian Administrasi, Sosial, Humaniora dan Kebijakan Publik Bubungan Tinggi: Jurnal Pengabdian Masyarakat J-3P (Jurnal Pembangunan Pemberdayaan Pemerintahan) Info Bibliotheca: Jurnal perpustakaan dan ilmu Informasi Teknosains : Jurnal Sains,Teknologi dan Informatika Journal of Computer Networks, Architecture and High Performance Computing Unilib: Jurnal Perpustakaan Jurnal Pemerintahan dan Kebijakan (JPK) BIOLOVA Journal of Technology and Informatics (JoTI) Az-Zahra: Journal of Gender and Family Studies Media Pustakawan Pustaka Karya : Jurnal Ilmiah Ilmu Perpustakaan dan Informasi Bidik : Jurnal Pengabdian kepada Masyarakat Journal of Law, Poliitic and Humanities Jurnal Ilmu Multidisplin Malcom: Indonesian Journal of Machine Learning and Computer Science MIMBAR INTEGRITAS Journal of Governance and Social Policy Eduvest - Journal of Universal Studies SATIN - Sains dan Teknologi Informasi Journal of Economics and Management Scienties Riwayat: Educational Journal of History and Humanities (Journal of Environmental Sustainability Management) Indonesian Governance Journal : Kajian Politik-Pemerintahan Jurnal Wacana Kinerja: Kajian Praktis-Akademis Kinerja dan Administrasi Pelayanan Publik Jurnal Informatika
Imam Yuadi
Departemen Ilmu Informasi Dan Perpustakaan, Fakultas Ilmu Sosial Dan Ilmu Politik, Universitas Airlangga
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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DIGITAL LIBRARIES IN EDUCATION: A BIBLIOMETRIC ANALYSIS ON THE WEB OF SCIENCE Suhada, Hofur; Yuadi, Imam
Publication Library and Information Science Vol 8, No 1 (2024)
Publisher : UPT. Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v8i1.8801

Abstract

This study aims to identify trends and developments in scientific publications related to digital libraries in education. The VOSViewer bibliometric analysis and visualization method was applied using the Web of Science (WOS) database from 2013 to early 2024. The study reveals significant developments in research over the past few years. It details research productivity and identifies the keywords 'higher education' and 'systematic review' as frequently associated with the main keywords. United states of america is identified as the most influential country in publications, with author Khan A and the journal Humanidades Inovacao as the most  contributors. The study's conclusion confirms that scientific publications on digital libraries in education are experiencing positive growth, in line with the development of information and communication technology (ICT).
Peningkatan Produktivitas Ibu-Ibu Janda dan Pensiunan Melalui Pelatihan Manajemen Pengetahuan Tacit dan Explicit Tri Atmi, Ragil; Mutia, Fitri; Yuadi, Imam; Srimulyo, Koko; Kartika Sari, Della; Nur Muhammad, Rizqi
International Journal of Community Service Learning Vol. 7 No. 1 (2023): February 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijcsl.v7i1.54751

Abstract

Desa Mojorejo Kecamatan Modo pada kurun waktu tiga tahun terakhir mengalami peningkatan jumlah perempuan berstatus janda dan purna tugas Pegawai Negeri Sipil (PNS) maupun swasta. Status tersebut membawa dampak pada penurunan kualitas hidup seperti kesehatan fisik, perekonomian keluarga, maupun kesehatan psikis. Atas dasar permasalahan tersebut, diadakan kegiatan pelatihan manajemen pengetahuan tacit dan explicit yang mengoptimalkan pengelolaan ide, gagasan, wawasan, pengalaman, dan pengetahuan agar menjadi manfaat bagi lingkungan sekitar. Tujuan dari kegiatan ini antara lain (1) Memberikan pelatihan pengelolaan pengetahuan tacit ke explicit; (2) Memaksimalkan potensi diri baik bakat maupun minat dari ibu berstatus janda dan purna tugas dari PNS maupun swasta; (3) Mengkodifikasi pengetahuan masyarakat sasaran agar tidak musnah. Metode yang digunakan dalam penelitian ini menggunakan metode pelatihan dan pembinaan secara intensif. Kegiatan pelatihan yang dilaksanakan berupa pemahaman terkait pentingnya mengelola pengetahuan yang dimiliki, memberikan metode penyaluran pengetahuan melalui media konten digital berupa video, memberikan pemahaman terkait pembuatan konten video yang informatif dan kreatif, praktik pembuatan video secara individu, dan pelatihan mengunggah konten video melalui media sosial. Peserta sasaran mampu secara mandiri untuk menyebarkan pengetahuan explicit ke dalam media informasi digital sehingga dapat meningkaykan produktivitas ibu-ibu janda dan pensiunan dalam kehidupan sehari-hari.
Stunting Prevention in Indonesia Between 2018-2023 from Scopus: A Bibliometric Study Putri, Selviana Azzira; Yuadi, Imam
TEKNOLOGI MEDIS DAN JURNAL KESEHATAN UMUM Vol 9 No 1 (2025): Medical Technology and Public Health Journal March 2025
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/mtphj.v9i1.5572

Abstract

Stunting remains a significant concern, particularly in Indonesia. This study aims to assess the development of scientific publications related to stunting prevention in the country. A bibliometric analysis method was utilized to identify research trends concerning stunting prevention in Indonesia. Data were collected from the Scopus database and processed using Biblioshiny software from R-Studio. The results indicate a steady increase in publications on stunting prevention in Indonesia from 2018 to 2023, suggesting a rise in research activity during this period. Future research topics may include the relationship between malnutrition and children in Indonesia, poverty, being small for gestational age, immunization, and attitudes toward health.  Keywords: Bibliometric, biblioshiny, indonesia, stunting prevention
Word Cloud Visualization of Media Reactions to USAID Shutdown Rahmadani, Sinta; Yuadi, Imam
MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Vol 9, No 1 (2025)
Publisher : Prodi Pendidikan Sejarah Fakultas Keguruan dan Ilmu Pendidikan Universitas Islam Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mkd.v9i1.10777

Abstract

The closure of USAID prompted various reactions by the media, which in turn affected public opinion and ongoing policies. This research investigates how media narratives cover the shutdown of USAID using word cloud visualization to capture themes and sentiments. The research attempts to find: What are the dominant media narratives regarding the shutdown? Using tokenization, stopword elimination, and frequency analysis before generating a word cloud to illustrate prominent words. The data shows that US media focuses on government spending, foreign aid, employment, and diplomatic activity, which all influence the public perception of the shutdown. The study argues that computational text analysis aids in the understanding of media discourse and sentiments on policies, which help policymakers and scholars concerned with public opinion and policy discourse on international aid and development issues. This study advances the field of media by expanding the scope of the study of visual politics and political communication. The analysis reveals that the conversation revolves around government activities, consequences of foreign aid, workforce considerations, and spatial politics, with “funding,” “security,” and “diplomatic” standing out the most. The analysis of the media coverage shows that the shutdown is framed as a political as well as an economic crisis, constructing a narrative that is later used in public discourse and policy discussions. This project adds to the body of work on media by employing visual analysis in the study of political communication and analyzing media framing from a computational perspective.
Analisis Bibliometrik Tentang Persebaran Hoax Di Indonesia Azmi, Muhammad Izharul; Yuadi, Imam
UNILIB : Jurnal Perpustakaan Vol. 16 No. 1 2025
Publisher : Direktorat Perpustakaan Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/unilib.Vol16.iss1.art3

Abstract

Penelitian ini bertujuan untuk menganalisis menggunakan metode bibliometrik mengenai persebaran hoax di Indonesia dengan mengumpulkan data dari database Scopus dan Web of Science dan menggabungkannya menjadi satu dan kemudian menganalisanya menggunakan Biblioshiny. Tujuan dari penelitian ini adalah untuk mencoba memberikan gambaran mengenai tren tentang hoax yang tersebar di Indonesia. Dalam penelitian ini menganalisis penulis yang menulis terkait topik ini, jumlah sitasi dari jurnal, sumber jurnal, instansi yang relevan, WordCloud, TreeMap, dan Thematic Map. Hasil analisis bibliometrik ini diharapkan dapat membantu memberikan pemahaman dan menjadi acuan untuk penelitian yang akan mendatang
Cracking Overtime: Unleashing Machine Learning at PT XYZ with Linear Regression, Neural Networks, and Random Forests Christia, Tifani Dewi; Yuadi, Imam
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5678

Abstract

Excessive overtime at PT XYZ is a significant issue for the organization. Besides the significant financial repercussions, they may also affect employee health and productivity. This research aims to forecast future overtime hours, facilitating strategic planning, mitigating excessive overtime, and developing more effective overtime policies. This study employs an overtime realization dataset encompassing many characteristics that influence overtime determinations. The dataset is partitioned into training and testing data to serve as inputs for the three predictive algorithm models: linear regression, artificial neural network, and random forest. The random forest model demonstrates superior performance, evidenced by a mean squared error (MSE) of 158.78, which is proximate to the actual value. The root mean squared error (RMSE) of 12.601 is lower than that of the other two models, indicating a reduced average prediction error. The mean absolute error (MAE) of 8.931 reflects the average deviation from the actual value, while the mean absolute percentage error (MAPE) of 0.336 indicates a prediction error of 34%. Furthermore, the coefficient of determination (R²) of 0.914 signifies that approximately 91.4% of the variation in overtime hours is accounted for, in contrast to the other models, which accounted for 78.8% and 79.6%, respectively. The results indicate that the random forest model demonstrates superior predictive accuracy compared to the other two algorithms, owing to its capacity to handle non-linear data and outliers. Consequently, the random forest model is advocated as the most efficacious method for forecasting the amount of supplementary working hours in the future.
Understanding Political Narratives: Word Cloud Analysis of Yoon Seok-Yeol's Impeachment Sinta Rahmadani; Imam Yuadi
Journal of Law, Politic and Humanities Vol. 5 No. 4 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i4.1427

Abstract

This study uses computational text analysis to analyze political rhetoric in the context of the impeachment of South Korea’s former president and chief prosecutor Yoon Seok-yeol. This Project analyzes statements of ten different international media outlets a month prior to the impeachment held in December 2024 through nexus tools within multi dimensional scaling and word clouds. The study illuminates startling issues South Korea is currently grappling with, and how stark the media’s influence is on public perception by exhibiting political themes such as “impeachment”, “martial law”, “opposition” and “party”. A distance matrix and MDS plot aids in understanding the correlation between public issues, the legal angle and issues regarding partisan divides. Such conversations can now be segmented into core narratives in lieu of these visuals, and Cohen easily be elaborated through computational models which highlight which topic or idea is popular in the public eye. The findings are commensurate with the literature discussing the role of public and media sentiment in impeachment process and suggest the opportunities of coupling qualitative and computer approaches. The research offers a technique on how to evaluate political narratives which would aid in enhancing the communication sought by the Penn State University Department of Communication in the governance of the society and democratic processes.
Membangun kepercayaan publik: visualisasi data interaktif capaian kinerja Kantor Regional IX BKN Jayapura Setiadi, Yusuf; Margono, Hendro; Yuadi, Imam
Jurnal Governansi Vol 11 No 1 (2025): Jurnal Governansi Volume 11 Nomor 1, April 2025
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jgs.v11i1.15091

Abstract

This research aims to build public trust in the performance of XYZ Regional Office through interactive data visualization using Power BI. Public trust in government agencies is often influenced by transparency and openness in delivering performance information. In this context, interactive and easy-to-understand data visualization is important to improve public understanding of agency performance achievements. The urgency of this research lies in the need for transparency and public accountability, which can encourage active public participation in monitoring and supporting government performance. This research uses a descriptive method with a quantitative approach. The data used is the performance data of XYZ Regional Office, which is then processed and visualized using Power BI. Interactive data visualization is designed to facilitate users in exploring relevant performance information, with a focus on key indicators of agency achievement. By interpreting data findings, this research identifies factors that influence staffing dynamics, such as the total number of civil servants, retirement proposals, and promotion proposals. The implications of the findings are also discussed to provide relevant recommendations for stakeholders related to strategic staffing decision-making. The results showed that the interactive data visualization created was able to increase public understanding and positive perception of the performance of XYZ Regional Office. The novelty of this research lies in the use of Power BI as an interactive visualization tool in the context of government agencies, which has not been widely applied. This research is expected to be a reference for other government agencies to increase public trust through a data-driven approach and performance transparency.
ANALISIS BIBLIOMETRIK TENTANG NETWORK GOVERNANCE PADA PELAYANAN PUBLIK Fitria Wulandari, Martina; Yuadi, Imam
INDONESIAN GOVERNANCE JOURNAL : KAJIAN POLITIK-PEMERINTAHAN Vol 6 No 2
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/igj.v6i2.97

Abstract

Antusiasme terhadap teori Network Governance semakin meningkat dalam beberapa tahun terakhir. Lalu, bagaimana perkembangan implementasi teori network governance pada pelayanan publik? Penelitian ini bertujuan untuk memberikan pemahaman terkait teori network governance pada pelayanan publik melalui analisis bibliometrik perkembangan penelitian-penelitianl terkait selama 10 tahun terakhir. Analisis bibliometrik pada penelitian ini memanfaatkan databes jurnal Web of Science yang divisualisasikan menggunakan aplikasi VosViewer dan R Biblioshiny guna menganalisis 332 jurnal publikasi mengenai network governance dan pelayanan publik. Berdasarkan analisis yang telah dilakukan, salah satu penelitian dengan sitasi terbanyak menemukan bahwa teori ini relevan dalam menjawab kebutuhan publik. Penelitian terkait network governance pada pelayanan publik paling banyak diproduksi oleh Amerika Serkat. Berdasarkan analisis biblioshiny, beberapa sumber jurnal yang paling relevan terhadap topik penelitian ini dalam area penelitian Public Administration antara lain Public Management Review, American Review of Public Administration, International Journal of Public Sector Management, International Review of Administrative Science, dan Journal of Public Administration Research and Theory.
Implementation of Orange Data Mining for Employee Turnover Prediction of Company X Prayitna, Thomas Wigung Aji; Yuadi, Imam
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.50814

Abstract

Employee turnover presents a significant challenge in Human Resources, particularly for companies operating across broad geographic areas such as Indonesia. High turnover rates can disrupt organizational continuity, increase recruitment costs, and affect overall performance. To mitigate these impacts, companies need to predict employee turnover likelihood accurately. This study uses the Orange Data Mining platform to compare the effectiveness of various machine learning models in predicting employee turnover. The models evaluated in this research include Support Vector Machine (SVM), Naive Bayes, K-Nearest Neighbors (K-NN), Neural Network, Decision Tree, and Logistic Regression. Model performance was assessed using cross-validation, Receiver Operating Characteristic (ROC) analysis, and confusion matrix metrics such as precision, recall, and false positives. The findings reveal that the Naive Bayes model outperforms the other models, demonstrating the highest precision rate and the lowest false positive rate. These results suggest that Naive Bayes offers a reliable and efficient approach to turnover prediction, enabling Human Resource departments to implement proactive retention strategies. This study implies that data-driven decision-making in HR analytics can substantially improve workforce planning and reduce the operational costs associated with high turnover.
Co-Authors AA Sudharmawan, AA Achmad Djunawan Albigaeri, Syahruly Nizar Alifka Cellina Velby Anastasya, Diva Berta Andini, Aulia Rizqi Anggraini, Pramudya Galuh Suci Artha Rachma Widiastuti Azmi, Muhammad Izharul Baihaqie, Owen Berliani, Kezia Putri Budiyan Mariyadi Cahyani, Retno Tri Christia, Tifani Dewi Condro Rahino Mustikaning Pawestri Dama Putri, Kania Dewanty, Alifia Kaltsum Dwisusilo, Aditya Endang Gunarti Enny Mar’atus Sholihah Erika Putri Fadilia Rinarwastu, Fadilia Febriano, Rizki Dwi Ferdiansah, Gilang Fitri Mutia, Fitri Fitria Wulandari, Martina Gunarti, Endang Halim, Yunus Abdul Handari Niken Anggraini Hapsari, Ratih Addina Hardevianty, Melissa Yunda Hasna, Dhia Alifia Izdihar Hendrawati, Lucy Dyah Inggrid Nindia Aprila Palupi Ira Puspitasari Ira Puspitasari Ismi Choirunnisa Prihatini Kartika Sari, Della Kezia Rahmawati Santosa Koko Srimulyo Lathifah, Lathifah Lestari, Santi Dwi Desy Lifindra, Stevanie Aurelia M Kafi Maulana M. Fariz Fadillah Mardianto Mahardika, Synthia Amelia Putri Margono, Hendro Mariyadi, Budiyan Marsaa Salsabiila Maulidah, Nofiyah Mayasari, Sentri Indah Melati Purba Bestari, Melati Purba Mochammad Edris Effendi Muhammad Rafi Raihan Nabilla Salsabil Damayanti Zahraa Nainunis, Mas Akhmad Nazikhah, Nisak Ummi Niken Ayu Pratiwi, Bertha Novia, Asradiani Nur Muhammad, Rizqi Nurahman, Yeni Fitria Nurul Firdausy Palupi, Inggrid Nindia Aprila Pradhana, Andrea Thrisiawan Prasetyo Yuwinanto, Helmy Prasyesti Kurniasari, Meinia Prayitna, Thomas Wigung Aji Purba, Trie Dinda Maharani Putra, Dwi Permana Putra, Nawwaf Faruq Adina Putri Kinanti, Novrianti Putri, Selviana Azzira Ragil Tri Atmi, Ragil Tri Rahmadani, Sinta Raihanzaki, Raka Gading Ratih Addina Hapsari Rosiana, Lidya Rosyani, Widha Sabayu, Brian Sabrina Hartianingrum, Hikmah Sabrina Nur Amalia Safina Innaf Mia Ardelia Salsabila, Chyntia Shafa Santoso, Yuniawan Heru Sari, Tri Kartika Setiadi, Yusuf Sheva Alana Brilianty Sinta Rahmadani Soesantari, Tri Sufryanto, Sukma Sugihartati, Rahma Suhada, Hofur Taufik Roni Sahroni Tikamidia, Sonia Tri Hadi Wicaksono Triandari, Ayu Ullin Nihaya Unas, Frisca Maria Vilosa, Bias Vivia Adriyanti, Elvetta Wardani, Hesti Ari Wettebossy, Anita Elizabeth Wildan Habibi Yuwinanto, Helmy Prasetyo Zidny, Irvan