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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Ilmiah Teknologi dan Rekayasa Jurnal Ilmu Perpustakaan 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 Management and Economics Journal (MEC-J) 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 JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 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 Journal of Information Systems and Informatics 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 Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 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 Jurnal Penelitian Pendidikan, Psikologi Dan Kesehatan (J-P3K) Journal of Computer Networks, Architecture and High Performance Computing Unilib: Jurnal Perpustakaan Jurnal Teknik Informatika (JUTIF) Jurnal Pemerintahan dan Kebijakan (JPK) Dialogue: Jurnal Ilmu Administrasi Publik BIOLOVA Journal La Multiapp Journal of Technology and Informatics (JoTI) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) 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 Malcom: Indonesian Journal of Machine Learning and Computer Science Research and Development in Education (RaDEn) 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 Al Maktabah Jurnal kajian Ilmu dan Perpustakaan Jurnal Informatika TEKNOSAINS: Jurnal Sains, Teknologi dan 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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Study Orange Data Mining Model Prediksi Status Gizi Balita Kelurahan X Sari, Tri Kartika; Imam Yuadi
SATIN - Sains dan Teknologi Informasi Vol 9 No 2 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v9i2.994

Abstract

Usia 0-59 bulan merupakan periode emas masa penting dimana semua proses perkembangan organ yang mempengaruhi kemampuan sensorik dan motorik seorang anak berlangsung. Pemantauan dan identifikasi status gizi balita secara dini diharapkan bisa melakukan control serta intervensi yang tepat dan cepat sehingga bisa menghilangkan atau meminimalisir dampak buruk yang ditimbulkan. Tujuan penelitian ini untuk melakukan identifikasi status gizi balita melalui pembuatan model prediksi menggunakan aplikasi orange data mining dan memberikan rekomendasi metode algoritma mana diantara KNN, Decision Tree, Naive Bayesdan Regresi logistic yang paling akurat.ROC Analisys (ROCA),Cross Validation dan Confusion Matrixsebagai model evaluasi. Empat model tersebutkemudian dibandingkan dan disimpulkan bahwa model algoritma KNN yang lebih direkomendasikan untuk prediksi status gizi karena memiliki tingkat akurasi dan presisi lebih baik dibanding 3 metode lainnya dengan nilai akurasi 95,24%, presisi 77,51%.
PEMETAAN BIBLIOMETRIK: PENGGUNAAN TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) PADA RENTANG WAKTU 2011-2023 DALAM DUNIA PENDIDIKAN Raihanzaki, Raka Gading; Yuadi, Imam
Info Bibliotheca: Jurnal Perpustakaan dan Ilmu Informasi Vol. 5 No. 2 (2024): Info Bibliotheca: Jurnal Perpustakaan dan Ilmu Informasi
Publisher : Program Studi Perpustakaan dan Ilmu Informasi, Fakultas Bahasa dan Seni, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ib.v5i2.461

Abstract

Artificial Intelligence technology is artificial intelligence which is then associated with the ability of machines or computers to do things that humans do. Artificial Intelligence originally started in 1942 when the American science fiction writer Isaac Asimov then included AI in his book entitled Runaround which then told about robots. Then, in 1956 MarvinMinsky and John McCarthy began conducting research on artificial intelligence. Artificial Intelligence technology has become increasingly popular among the wider community, in all circles, including in the world of education. One of the products from AI which is quite popular at the moment is GPT chat which is often used in the world of education. This is because Artificial Intelligence technology makes it very easy to do work or assignments. This article will then examine using bibliometric analysis the trends in the use of Artificial Intelligence technology in the world of education. This article analyzes using the bibliometric analysis method using a database from Scopus with a research range from 2011 to 2023, with the keywords artificial intelligence, impact, and education, which then produces 1565 articles. These articles were analyzed using bibliometric methods with biblioshiny. The aim of this article is to analyze trends in the use of artificial intelligence technology in the world of education based on bibliometric analysis by observing the number of publications on this topic from year to year. It was found that from year to year research on the use of artificial intelligence in the world of education, the graph continues to increase and shows a percentage of 43.71% for the development of publications from year to year. This article is divided into several parts (1) introduction which explains each research component starting from scopus bibliometrics and biblioshiny as well as the topics studied; (2) research methods carried out using bibliometric analysis; (3) results and discussion of the bibliometric analysis; and (4) conclusions.
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 : 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).
ANALYSIS OF LIBRARY VISITOR GROUPING THROUGH MASK USAGE IDENTIFICATION IN XIN ZHONG LIBRARY WITH ORANGE DATA MINING APPLICATION Putra, Dwi Permana; Yuadi, Imam
Publication Library and Information Science Vol 9 No 1 (2025)
Publisher : Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v9i1.11508

Abstract

AbstractThe application of data mining in libraries plays a crucial role in supporting data management and monitoring health protocols, especially during the pandemic. A key challenge faced by librarians is effectively monitoring visitors' mask usage compliance. This study aims to analyze visitors' facial images at the library using the Orange Data Mining application, enabling librarians to identify whether visitors are wearing masks. The approach involves collecting random facial images of visitors, preprocessing the data for standardization of size and resolution, extracting features using the Inception V3 model, and conducting hierarchical clustering analysis with the Manhattan metric. The clustering results are visualized in a dendrogram, helping to group the data. The findings show that the dendrogram clearly differentiates between visitors with masks and those without. This visualization provides librarians with an effective tool for monitoring areas of the library that require more strict health protocol supervision. The study concludes that the Orange Data Mining application offers a practical solution for libraries to monitor compliance with health protocols. By utilizing data mining techniques, libraries can enhance visitor safety and comfort. Further research is suggested to expand the dataset and explore other methods to improve analysis accuracy.
Digital Forensic Approaches for Counterfeit Money Detection: A Compratie of KNN, Logistic Regression, and SVM Classifiers Sabrina Nur Amalia; Imam Yuadi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1764

Abstract

Counterfeit currency presents a substantial risk to economic stability and financial security, necessitating efficient and dependable detection techniques in both forensic and practical contexts. This research examines digital forensic methodologies for the identification of counterfeit banknotes employing three machine learning classifiers: K-Nearest Neighbors (KNN), Logistic Regression, and Support Vector Machine (SVM). A dataset was generated by photographing authentic and counterfeit Indonesian banknotes using a mobile phone camera, thereafter undergoing preprocessing and augmentation to enhance resilience. To improve classification performance, three image preprocessing techniques—grayscale filtering, edge detection, and blurring—were employed. The models were assessed based on accuracy, precision, recall, and F1-score obtained from confusion matrix analysis. The experimental findings demonstrated that SVM and Logistic Regression consistently surpassed KNN in all settings, with SVM attaining the best overall accuracy of 0.997 under gray and blur filtering. Logistic Regression exhibited high reliability, with an accuracy of 0.994–0.997 using gray and blur filters. KNN, although originally less successful, showed significant enhancement when integrated with blur filtering, attaining an accuracy of 0.973. Conversely, edge detection was found to be detrimental to the performance of all tested models.
Analisis Bibliometrik Kebijakan Berbasis Bukti dalam Bidang Pendidikan Febriano, Rizki Dwi; Yuadi, Imam
Cakrawala Vol. 17 No. 2: Desember 2023
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32781/cakrawala.v17i2.552

Abstract

Kebijakan berbasis bukti merupakan bentuk pemanfaatan ilmu pengetahuan dan teknologi guna mendorong transformasi dan menunjang berbagai kegiatan manusia melalui produk kebijakan.Namun, penggunaan bukti dalam perumusan kebijakan masih menjadi tantangan dalam sektor publik. Tujuan dari penelitian ini untuk mengidentifikasi, melihat alur, dan arah penelitian secara terstruktur dalam studi kebijakan berbasis bukti dalam bidang pendidikan yang terbit pada tahun 2013-2022. Menggunakan metode analisis bibliometrik dengan memanfaatkan database jurnal dari Web of Science yang divisualisasikan menggunakan aplikasi VosViewer dan R Biblioshiny untuk menganalisis 158 artikel publikasi yang telah disaring berkaitan dengan kebijakan berbasis bukti dan pendidikan. Penelitian ini menghasilkan temuan bahwa bidang subjek Education Educational Research dan publikasi di dalam Journal Evidence and Policy menjadi sumber referensi utama. Britania Raya dan Australia menjadi negara yang banyak memproduksi dan melakukan menjadi subjekdalam topik kebijakan berbasis bukti dalam bidang pendidikan.
Prediction of Student Participation in the Library of the University of Muhammadiyah Malang Based on Social Media Activities Using Decision Tree Bestari, Melati Purba; Yuadi, Imam
Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi dan Kearsipan Vol 11, No 2 (2025): December
Publisher : Library and Information Science Study Program, Faculty of Humanities, Univ. Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/lenpust.v11i2.74771

Abstract

Background: Social media has become an effective tool in promoting library services. This study uses the Decision Tree algorithm to predict student participation in the University of Muhammadiyah Malang library based on their social media activities.Objective: The data used included features such as the type of social media (Instagram, TikTok, YouTube, Twitter), the frequency of visits to the library, and the level of social media engagement.Methods: The decision tree model is processed using Orange Data Mining, which results in a clear separation between participation and non-participation based on a combination of these features.Results: The study results show that social media, especially Instagram and TikTok, significantly influence student participation in the library. The accuracy of the obtained model is about 76.7%, indicating that decision trees are an effective method for predicting library participation.Conclusion: This research provides valuable insights for designing strategies to increase library student engagement based on social media analysis  
Selisih Klaim INA-CBGs dengan Tarif Rumah Sakit Aktual di RS X Surabaya Pradhana, Andrea Thrisiawan; Yuadi, Imam; Puspitasari, Ira; Djunawan, Achmad; Sholihah, Enny Mar'atus
Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Vol 11, No 2 (2025): JMK Yayasan RS.Dr.Soetomo, Oktober 2025
Publisher : STIKES Yayasan RS.Dr.Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29241/jmk.v11i2.2309

Abstract

The hospital payment system in Indonesia uses the Indonesia Case Based Groups (INA-CBGs). It is expected to control service costs within the National Health Insurance (JKN) program. However, there is a challenge in the form of a negative difference between BPJS Kesehatan claims and the hospital's actual tariffs. If left unchecked, this could impact the financial sustainability of hospitals. This study aims to predict and analyze the factors influencing the difference between BPJS claims and hospital tariffs at Hospital X Surabaya for the period February to June 2024. The method used is an analytical quantitative study with a time series design using secondary data from BPJS claims and the hospital’s actual tariffs for 6,523 inpatient cases. Data analysis was performed using graphs, cross-tabulation, and multiple linear regression. The results show that the difference between BPJS claims and hospital tariffs is always negative. The largest negative difference occurred in inpatient class 3. Variables such as costs of non-surgical procedure tariffs, surgical procedures, nursing care, supporting services, radiology, laboratory, blood services, rehabilitation, and room accommodation have a significant effect in increasing the claim deficit (p < 0.05). However, drug costs have a significant positive effect in reducing the deficit. The limitation of this study is that the data is not normally distributed and indicates heteroskedasticity. In conclusion, most medical and non-medical cost components contribute to the claim deficit experienced by the hospital during the study period.
Optimizing Library Visitor Satisfaction Analysis with Machine Learning Nurahman, Yeni Fitria; Yuadi, Imam
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In today’s increasingly digital era, libraries continue to play a vital role as centers of information, knowledge, and culture. Despite the widespread availability of online information, libraries remain essential for providing diverse resources, services, and convenient facilities. The role of libraries has evolved to meet the needs and expectations of visitors, requiring ongoing innovation in services and amenities to ensure user satisfaction. This study aims to assess the level of visitor satisfaction at UNUSA Library regarding the services provided. The research utilized questionnaire data, initially collected from 802 respondents, of which 224 valid responses were analyzed. Furthermore, this study compares the predictive performance of three machine learning methods K-Nearest Neighbor, Decision Tree, and Support Vector Machine to determine which method achieves the highest accuracy in predicting visitor satisfaction. The analysis was conducted using the Orange Data Mining application as the prediction model. The results indicate that library visitors generally report a high level of satisfaction, with certain services rated more positively than others, and that machine learning models can effectively predict satisfaction levels based on visitor feedback.
Device-Based Majapahit Inscription Classification with Multi-Filter Enhancement Muhammad Rafi Raihan; Imam Yuadi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 04 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i04.1792

Abstract

The preservation of cultural heritage through digitalization has become increasingly essential in modern archaeological and information technology research. This study focuses on classifying Majapahit inscription images based on the recording device using machine learning approaches enhanced by multiple image filtering techniques. A dataset comprising seven inscriptions photographed with seven different devices was used to evaluate the performance of three classification models: Logistic Regression, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). Four preprocessing filters Grayscale, Sobel, Histogram Equalization, and Canny Edge Detection were applied to assess their effects on model accuracy. The results revealed that the SVM consistently achieved the highest accuracy and robustness, particularly under Sobel and Histogram Equalization filters, confirming its superior ability to capture discriminative texture and edge-based features. In contrast, KNN showed unstable results due to its sensitivity to noise and intensity variations, while Logistic Regression performed moderately well in linearly separable data conditions. Paired t-test analysis further validated that SVM’s performance advantage was statistically significant. These findings highlight that edge-preserving preprocessing techniques can substantially enhance the accuracy of device-based image classification and provide a computational framework that supports digital preservation efforts in cultural heritage research.
Co-Authors AA Sudharmawan, AA Achmad Djunawan Aditya Cahya Saputra Albigaeri, Syahruly Nizar Alifka Cellina Velby Anastasya, Diva Berta Andini, Aulia Rizqi Anggraini, Pramudya Galuh Suci Ardian Mohib Artha Rachma Widiastuti Arum Karisma Nadya Lashita Azmi, Muhammad Izharul Baihaqie, Owen Berliani, Kezia Putri Bondan Ari Wijaya Cahyani, Retno Tri Christia, Tifani Dewi Chyntia Shafa Condro Rahino Mustikaning Pawestri Dama Putri, Kania Dea Roseliana Putri Dewanty, Alifia Kaltsum Dwiky Rahardian Endang Gunarti Enny Mar’atus Sholihah Erika Putri Erika Putri Fadilia Rinarwastu Fadilia Rinarwastu, Fadilia Fairus Faqih Febri Ari Wicaksono Febriano, Rizki Dwi Ferdiansah, Gilang Fitri Mutia, Fitri Gilang Ferdiansah Gunarti, Endang Halim, Yunus Abdul Handari Niken Anggraini Hapsari, Ratih Addina Hardevianty, Melissa Yunda Hary Supriyatno Hasna, Dhia Alifia Izdihar Hendro Margono Ira Puspitasari Ira Puspitasari Ira Puspitasari Irvan Zidny Ismi Choirunnisa Prihatini Kartika Sari, Della Kezia Rahmawati Santosa Koko Srimulyo Lathifah, Lathifah Lestari, Santi Dwi Desy Lifindra, Stevanie Aurelia Lucy Dyah Hendrawati M Kafi Maulana M. Fariz Fadillah Mardianto Mahardika, Synthia Amelia Putri Marsaa Salsabiila Martina Fitria Wulandari Maulidah, Nofiyah Mayasari, Sentri Indah Melati Purba Bestari, Melati Purba Mochammad Edris Effendi Muhammad Rafi Raihan Muhammad Rafi Raihan Muthia Andriana Putri Nabilla Salsabil Damayanti Zahraa Nainunis, Mas Akhmad Nawwaf Faruq Adina Putra Niken Ayu Pratiwi, Bertha Nisak Ummi Nazikhah Noor Rizki, Denaldy Oktavian Novia, Asradiani Noviana Wahyu Basuki Nur Muhammad, Rizqi Nurahman, Yeni Fitria Nurul Firdausy Palupi, Inggrid Nindia Aprila Parenda Rizkya Permata Pradhana, Andrea Thrisiawan Prasetya Triputra Nugraha Prasetyo Yuwinanto, Helmy Prasyesti Kurniasari, Meinia Purba, Trie Dinda Maharani Purwaningtyas, Aris Putra, Dwi Permana 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 Salsabiila, Marsaa Salsabila, Chyntia Shafa Sari, Tri Kartika Setiadi, Yusuf Sherly Deasy Anjuwita Gultom Sheva Alana Brilianty Shiefti Dyah Alyusi Sinta Rahmadani Siswahyudianto Soesantari, Tri Sonia Tikamidia Sugihartati, Rahma Suhada, Hofur Sukma Sufryanto Tikamidia, Sonia Toetik Koesbardiati Tri Hadi Wicaksono Triandari, Ayu Ullin Nihaya Unas, Frisca Maria Vilosa, Bias Vivia Adriyanti, Elvetta Wardani, Hesti Ari Wettebossy, Anita Elizabeth Wildan Habibi Yuniawan Heru Santoso Yusi Dyah Patriani Yuwinanto, Helmy Prasetyo