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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Building of Informatics, Technology and Science Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Lumbung Farmasi : Jurnal Ilmu Kefarmasian Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) Journal of Law, Administration, and Social Science El-Jughrafiyah : Jurnal Geografi dan Terapannya ProBisnis : Jurnal Manajemen Jurnal Ilmiah Bisnis dan Perpajakan (Bijak) International Journal of Multidisciplinary Research and Literature (IJOMRAL) Tarling : Journal of Language Education JUDGE: Jurnal Hukum BATOBO: Jurnal Pengabdian Kepada Masyarakat Jurnal Riset Ilmiah Scientific Journal of Informatics IPSSJ Educommunity Jurnal Pengabdian Masyarakat
Salsabila, Aulia
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Influence of Brand Image and Service Quality on Customer Satisfaction, and Its Impact on Perceived Value of Services, Corporate Image, and Corporate Reputation Salsabila, Aulia; Kustiawan, Unggul
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 5 No. 04 (2025): Vol. 5 No. 04 (2025): Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v5i04.1547

Abstract

This study explores the factors that influence customer satisfaction in shopping centers, with a focus on brand image and service quality. These two factors are believed to contribute to customer satisfaction, which in turn shapes the perceived value of services and impacts corporate image and corporate reputation. However, further research is needed to understand this relationship empirically. This quantitative study uses the Structural Equation Modeling (SEM) method, conducted in 2025 with a focus on visitors from 8 shopping centers in Bekasi. Data was collected through an online questionnaire using Google Forms and involved 156 respondents. The analysis process was carried out using the SmartPLS 4 application. The results of the study indicate that brand image and service quality have a positive effect on customer satisfaction. Furthermore, customer satisfaction contributes to an increase in the perceived value of services, which directly impacts the strengthening of corporate image and corporate reputation. These findings provide practical contributions for shopping mall managers in designing strategies to strengthen brand image and improve service quality, thereby creating sustainable customer satisfaction and reinforcing the company's identity and reputation in the eyes of consumers.
MEMAHAMI LEGALITAS REMIX & PARODI DI SOSIAL MEDIA; MENGKAJI AMBIGUITAS UU HAK CIPTA TERHADAP KONTEN BERBASIS KEBEBASAN BERKARYA Salsabila, Aulia; Franciska, Wira; Candra, Mardi
SINERGI : Jurnal Riset Ilmiah Vol. 2 No. 8 (2025): SINERGI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v2i8.1747

Abstract

The evolution of digital culture has fostered the emergence of transformational content—such as remixes and parodies—as legitimate forms of creative expression. However, Indonesia’s copyright framework, particularly Article 44 of Law No. 28 of 2014, remains normatively ambiguous and fails to ensure legal certainty for such expressions. Employing a normative legal approach, this study identifies a structural tension between the protection of exclusive rights and freedom of expression, exacerbated by formalistic state enforcement and algorithmic content moderation by digital platforms that lack contextual assessment. This research recommends a reformulation of the “fairness” clause grounded in the fair use doctrine, along with the development of adjudicative mechanisms that safeguard substantive digital justice.
Analisis yuridis terhadap kasus tawuran pada tahap penuntutan di Kejaksaan Negeri Pati Salsabila, Aulia; Aulana, Muhammad Saukhan; Rofiq, Nur
Journal of Law, Administration, and Social Science Vol 5 No 2 (2025)
Publisher : PT WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/jolas.v5i2.1504

Abstract

Pentingnya penerapan diversi dalam penanganan kasus anak yang berhadapan dengan hukum pada tahap penuntutan di Kejaksaan Negeri Pati. Artikel ini membahas permasalahan hukum terkait tawuran yang melibatkan anak di bawah umur, khususnya pada tahap penuntutan di Kejaksaan Negeri Pati. Gap hukum yang diidentifikasi adalah kegagalan proses diversi yang seharusnya dapat menghindarkan anak dari stigma hukum dan memfasilitasi reintegrasi sosial. Penelitian ini bertujuan untuk mengeksplorasi penyebab kegagalan tersebut serta menganalisis implementasi Undang-Undang Nomor 11 Tahun 2012 tentang Sistem Peradilan Pidana Anak yang berkaitan dengan posisi Jaksa Penuntut Umum. Metode yang digunakan adalah yuridis normative dengan pendekatan peraturan perundang-undangan, di mana data dikumpulkan melalui studi kepustakaan untuk mengkaji regulasi yang relevan dalam konteks perlindungan anak. Hasil penelitian menunjukkan bahwa kegagalan diversi disebabkan karena ketidakhadiran korban selama proses diversi di Kejaksaan sehingga diversi tidak dapat berjalan. Kesimpulan dari penelitian ini mengharuskan perlunya evaluasi dan peningkatan peran Jaksa dalam proses diversi, serta saran untuk memperkuat regulasi perlindungan anak agar lebih efektif dalam mencegah terulangnya tawuran dan melindungi hak-hak anak.
Perbandingan Klasifikasi Penyakit Kanker Paru-Paru menggunakan Support Vector Machine dan K-Nearest Neighbor Desiani, Anita; Indra Maiyanti, Sri; Andriani, Yuli; Suprihatin, Bambang; Amran, Ali; Marselina, Nyanyu Chika; Salsabila, Aulia
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.700

Abstract

Lung cancer is a condition where cells grow uncontrollably in the lungs due to carcinogens. Lung cancer is the first cause of death in men and women’s second cause of death. One way to reduce the death rate due to lung cancer is to carry out early detection, that is classification. The process of identifying and grouping objects with the same characteristics or characteristics into several predetermined classes is called classification. Several algorithms widely used in the classification process are Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). SVM has advantages, being able to identify hyperplanes separately to maximize the margin between two or more different classes, but it is difficult to use in large data, while KNN can perform large-scale data separation and is resilient to noise in the data. This study aims to build a model using the SVM and KNN algorithms to classify lung cancer. The lung cancer dataset has a total of 309 data, where data is divided using the percentage split method and k-fold cross validation on each algorithm used. The parameters used in evaluating the model are accuracy, precision, and recall. From the research, the highest accuracy, precision, and recall values were obtained in the SVM algorithm with the percentage split method with consecutive values, namely 95.16%, 88%, and 82.5%. This indicates that the SVM algorithm with the percentage split method performs better in classifying lung cancer than other algorithms and methods,
THE APPLICATION OF AI (ARTIFICIAL INTELLIGENCE)-BASED LEARNING MEDIA TO SUPPORT THE DIGITAL LITERACY OF 21ST CENTURY STUDENTS IN ELEMENTARY SCHOOLS Dahlan, Taufiqulloh; Asna, Hilmiatun; Pratama , Yoga; Nur Fadillah, Nadil; Salsabila, Aulia; Nur Awaliah, Hanifah
International Journal of Multidisciplinary Research and Literature Vol. 5 No. 1 (2026): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v5i1.404

Abstract

Digital literacy is a fundamental competency for students in the 21st century; however, the digital literacy skills of elementary school students in Indonesia remain low and suboptimal in addressing the challenges of the digital era. This research aims to explore in depth the application of artificial intelligence (AI)-based learning media to support the development of digital literacy among elementary school students in the context of 21st-century learning. The study employs a qualitative case study design to examine three elementary schools in urban, semi-urban, and rural areas that have implemented AI-based learning media. The research participants included 18 teachers in grades 4-6, 9 principals, and 36 students, all selected purposively. Data were collected through in-depth interviews, participatory observations, focus group discussions, and documentation over six months. Data analysis uses a thematic, inductive-iterative approach to identify emerging themes and patterns. The results of the study identified five main themes: (1) personalisation of learning increases student engagement and understanding of the concept of digital literacy; (2) AI media facilitates adaptive learning according to individual learning styles and speeds; (3) interactive and gamification features increase motivation and learning independence; (4) implementation challenges include infrastructure limitations, teachers' digital competence, and the balance between technology and social interaction; (5) Success factors include school management support, ongoing teacher training, and user-friendly media design. The research provides an in-depth understanding of the dynamics of AI media applications in digital literacy learning, offering practical recommendations for effective implementation in primary schools that account for socio-cultural contexts and diverse infrastructure conditions
Optimizing Early Breast Cancer Classification Using Hybrid SVM-ANN with Ridge Embedded Feature Selection Priyanta, Sigit; Selvyana, Dita Ria; Salsabila, Aulia
Scientific Journal of Informatics Vol. 13 No. 1: February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v13i1.36676

Abstract

Purpose: This study aims to enhance early breast cancer detection by systematically evaluating multiple machine learning (ML) algorithms and feature selection strategies. The goal is to identify the most effective combination of classifiers and feature selection methods for accurately distinguishing malignant from benign breast tumors, thereby improving diagnostic reliability and clinical decision support. Method: The Wisconsin Breast Cancer Dataset containing 699 samples described by nine diagnostic features was used. Tumor classes were encoded as 0 (malignant) and 1 (benign). The analysis was conducted in two stages. First, five ML algorithms—K-Nearest Neighbors (KNN), Logistic Regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), and a hybrid SVM–ANN—were evaluated to establish baseline performance. Second, two feature selection approaches (wrapper and embedded) were applied to four ML models and the optimized hybrid classifier. The embedded approach employed Ridge-based feature selection to identify the most discriminative attributes and improve model generalization. Results: The hybrid SVM–ANN combined with Ridge Embedded feature selection achieved the best performance, with an accuracy of 97.86%, precision of 96.5%, recall of 96.5%, and an F1-score of 96%. This configuration outperformed all other algorithms and feature selection techniques, affirming the effectiveness of hybrid integration and embedded feature optimization. Novelty: The novelty lies in the integration of an SVM–ANN hybrid model with Ridge-based embedded feature selection for breast cancer classification. Unlike prior works that rely primarily on conventional filter or wrapper techniques, this approach demonstrates superior accuracy and robustness. The proposed framework provides a promising pathway for developing more reliable ML-based diagnostic tools in oncology.
UTILIZATION OF LOCAL FOOD INGREDIENTS AND SPICES TO MEET NUTRITIONAL REQUIREMENTS, STRENGTHEN IMMUNITY, AND ADDRESS MINOR AILMENTS IN HOUSEHOLDS Vardhani, Afifah Kusuma; Fannya, Puteri; Afifah, Nadiya Nurul; Rahmah, Rizqia; Safitri, Yolan Adis; Salsabila, Aulia; W., Mochamad Fauzan; P. S., Raihan Fakhri
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 10 No. 1 (2026): MARET
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v10i1.3254

Abstract

The Baitul Maal Foundation of PLN (YBM PLN) Research Institute, located at Jl. PLN Duren Tiga no. 102, Pancoran, South Jakarta, has dozens of fostered families who are underprivileged families in the surrounding area. Scholarships for schoolchildren have been in place as a sort of guidance. Students fostered by YBM PLN require nutritional support to help them learn in school and strengthen their immune systems. As a result, community service and education activities that reinforce the concept of eating healthy and nutritious foods as part of a clean and healthy living behaviour (PHBS) are essential. As a result, there is a greater understanding and awareness of the need of proper nutrition for child development, particularly throughout the school years. Fulfilling family nutrition needs, beginning with nutritious and balanced home meals in combination with Indonesian herbs, will boost immunity, prevent disease, and promote students' learning activities.
Co-Authors Aji, Azahra Wulandari Ali Amran Anfasa Mashudi, Fristio Anita Desiani Anwar, Muhammad Saidun Arief Rafsanjani Asna, Hilmiatun Aulana, Muhammad Saukhan Ayuningsih, Wulandari Bambang Suprihatin Bella Parina, Ana Candra, Mardi Efendi, Apriyani Elvi Khairani, Mai Fannya, Puteri Fauziah, Marsyah Franciska, Wira Gulo, Yuspikarni Harahap, Amru Akbar Hardini, Farantika Dwi Hery Widijanto Huda, Miftahu Inayah, Lailatul Indra Maiyanti, Sri Irmayanti Irmayanti, Irmayanti Kamil, Mutia Kembaren, Rezia Gloria Khasanah, Aulia Afiliyah Kurniawan Putri, Nurafika Kustiawan, Unggul Lusiana, Zevi Marselina, Nyanyu Chika Milasari, Iin Muazis, Agil Muhammad Arif Nadiya Nurul Afifah Nasution, Marnis Neni Frimayanti Nur Awaliah, Hanifah Nur Fadillah, Nadil P. S., Raihan Fakhri Pratama , Yoga Putra, Aditya Amarta Putra, Mulhadi Qurnia Pratiwi, Putri Rahmah, Rizqia Ramadhinnov, Ridho Rickha Octavia Rofingatul, Putri Rofiq, Nur Rohman, Danur Rusnedy, Rahmayati Safitri, Yolan Adis Saprudin, Muhamad Selvyana, Dita Ria Sibuea, Tracy Ocha Yulia Sigit Priyanta Siti Nur Azizah, Siti Nur Taufiqulloh Dahlan Tri Puspita Yuliana Vardhani, Afifah Kusuma viola Afrilizetira, Garnis W., Mochamad Fauzan Wahidiyati, Irra Wulandari, Zertiks Yuli Andriani Zafarani, Welly Zulfa Ismi, Dina