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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Pendidikan Usia Dini Computatio : Journal of Computer Science and Information Systems J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JCRS (Journal of Community Research and Service) Jurnal Asy-Syukriyyah Management Studies and Entrepreneurship Journal (MSEJ) GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Andragogi : Jurnal Ilmiah Pendidikan Agama Islam Journal of Computer Networks, Architecture and High Performance Computing Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Humantech : Jurnal Ilmiah Multidisiplin Indonesia Transekonomika : Akuntansi, Bisnis dan Keuangan International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) BIP'S : Jurnal Bisnis Perspektif Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal Keuangan dan Bisnis Jurnal Agroindustri Pangan Jurnal Informatika Ekonomi Bisnis Indonesian Journal of Education Research (IJoER) Journal Accounting International Mount Hope Jurnal Pengabdian Masyarakat dan Riset Pendidikan Proceeding of International Conference on Entrepreneurship (IConEnt) Jurnal Asy-Syukriyyah Quranic Edu Journal of Community Services and Engagement: Voice of Community (VOC) PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC) Technology, Business and Entrepreneurship Fortunate Business Review Jurnal Serina Abdimas
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Indonesia Chelsia Cindeleria Herwanto; Juventia Agnecia; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 14 No. 1 (2026): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/rqp52h60

Abstract

Pertumbuhan sel yang tidak normal pada jaringan otak dikenal sebagai tumor otak. Salah satu cara dokter mendeteksi tumor otak adalah melalui observasi langsung dengan diagnosis manual, yang memiliki risiko kesalahan. Perkembangan artificial intelligence pada bidang computer vision kini telah diterapkan dalam klasifikasi citra di sektor kesehatan. Studi ini mengklasifikasikan citra tumor otak menggunakan deep learning, khususnya metode Convolutional Neural Network (CNN) dengan arsitektur VGG-16 untuk membangun model terbaik yang diterapkan dalam bentuk sistem. Dataset yang digunakan terdiri dari 3.264 citra dengan kelas pituitary, meningioma, glioma, dan no (no tumor) yang diperoleh dari Kaggle. Pengujian dilakukan dengan beberapa skenario learning rate dan kombinasi jumlah neurons pada dense layer.
Implementation of the Classical Learning Model in Kindergarten Lina
Indonesian Journal of Education Research (IJoER) Vol. 4 No. 5 (2023): October
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v4i5.754

Abstract

Purpose of the study: The aim of this research is to describe the implementation of the classical learning model in kindergarten. Methodology: The method used in this research is descriptive quantitative and qualitative using questionnaires, observations and interviews as data collection techniques. Analysis of questionnaire and observation data uses statistical techniques, while interviews use interactive analysis. Main Findings: The implementation of the classical learning model in kindergarten is of "good" quality. The results of the questionnaire showed a percentage of 81% for general implementation, with a percentage of 75% for class setting indicators, 77% for teaching preparation indicators, and 93% for implementation process indicators. The observation results also showed "good" quality with a percentage of 83% in general, with a percentage of 64% for class setting indicators, 32% for teaching preparation indicators, and 70% for implementation process indicators. The interview results show that the school has implemented the classical learning model well, but there are shortcomings in using the latest curriculum and curriculum standards. Novelty/Originality of this study: The novelty of this research lies in the description of the implementation of the classical learning model in kindergarten and the analysis of its quality based on questionnaires, observations and interviews. This research provides a better understanding of the challenges and advantages of implementing classical learning models in early childhood education institutions with minimal teaching staff.
THE EFFECT OF WORK COMPETENCY, WORK ENVIRONMENT AND JOB SATISFACTION ON THE PERFORMANCE OF EMPLOYEES OF THE LEGAL BUREAU OF THE REGIONAL SECRETARIAT OF NORTH SUMATRA PROVINCE M. Rizki; Feni Tiona Br Simangunsong; Goval Sunici Conan Sinaga; Lina; Tri Siwi Agustina
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 3 (2026): June (ON PROGRESS)
Publisher : CV. Radja Publika

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

Abstract

Legal Bureau of the Regional Secretariat of North Sumatra Province, A government unit office functions as the main support unit in local government legal affairs, The establishment of this bureau began with the need to handle various legal issues related to local government policies, including the preparation of regional regulations, providing legal opinions, and government defense in legal cases. The total population in this study was 45 employees from the Legal Bureau of the North Sumatra Governor's Office, and saturated samples were used to analyze the results. The results showed that work competence influenced the results of 0.002<0.05 The estimated tvalue of 3.284 shows this, exceeding the critical value of 2.021. Positively and significantly employee performance, the work environment influences the results of 0.026<0.05 indicating that the work environment influences several aspects of employee performance. As evidence, note the calculated tvalue of 2.302>ttable 2.021. positively and significantly employee performance, as well as job satisfaction influences The pvalue of 0.003<0.05 indicates that job satisfaction influences employee performance. The fact that the predicted tvalue of 3.143 exceeds the ttable value of 2.021 positively and significantly affects employee performance. Overall, Job Competence, Work Environment, and Job Satisfaction have a positive and significant influence on Employee Performance.
Co-Authors Abdillah, Salma Iliyina Agustin, Julia Agustinus Riyanto Ali Mustaqim Alvian Wijaya Andi Widiyanto Angelino, Kevin Angesty, Viviana Arilaha, Muhammad Asril Arum Billy Marcelino Chelsia Cindeleria Herwanto Chuandra, Fendy Cuandra, Fendy Dadan Suryana david Diana Didi Sundiman Ewaldo, Davin Farida Mayar Feni Tiona Br Simangunsong Fernando Fundroo Orlando Gloria Valerie Lao Goval Sunici Conan Sinaga Harry Chandra Hasugian, Chandiny HENDRI WIJAYA Henry Tanujaya Ignasius Heri Satrya Wangsa Iqomatin, Durrotul Jeanny Pragantha Jenny Jerry Ruslim Johan Hartanto Juen, Jonathan Kenny Juli Meliza Juventia Agnecia Khairma , Fitriana Sari Khoiriyah, Binti Kimberly Edelweiss Kristian Davidson Runtu Lao, Gloria Valerie Lorico Salim M. Rizki Manatap Dolok Lauro, Manatap Dolok Maria Josephine Tyra, Maria Josephine Tyra, Marliana Michael Setiawan, Michael Muhammad Anggia Muchtar Muniya Alteza Nasir Noviansius Ony, Johan Gunady Pandiangan, Lady Avilla Pansing, Marcelina Helen Penny Rahmawaty Pratama, Mahendra Ryansa Gallen Gagah Pratama, Rheza Riyanto, Agustinus Rizal, Mar'ie Muhammad Robinson Sari, Novi Engla Satria, Sri Shantika Manggala Sitopu, Juwita Dearni Soraya, Devinta Febri Sri Rezeki Sugiharto Pujangkoro Tai, Calvin Theresia Widyastuti Tondy Tony Honkley Tri Siwi Agustina Utama, Mohamad Maulidin Alif Wahyuddin Wasino Winarti Yulina, Rayung Putri Zega, Thea Putri Amabel Zyad Rusdi