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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) PROFICIO: Jurnal Pengabdian Masyarakat de-lite El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara
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PENGEMBANGAN E-LEARNING SYSTEM SD STRADA KARAWACI Desanti, Ririn Ikana; Suryasari; Wella; Johan, Monika Evelin; Faza, Ahmad
PROFICIO Vol. 5 No. 1 (2024): PROFICIO: Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v5i1.3037

Abstract

Learning Management System (LMS) has become one of the media used to support online teaching learning activities. LMS has a wide range of functions such as administration, documentation, and reporting. The condition of the Covid-19 pandemic in 2020 has caused SD Strada Karawaci to find a way to keep providing school supplies to the students. The Information Systems Study Program – Universitas Multimedia Nusantara (IS-UMN) has a strong commitment to make a positive contribution to the community, one of which is through community service activities (PKM). IS- UMN organizes PKM activities with one of its goals to improve literacy of information technology of the community. In general, the activities of PKM IS-UMN are divided into two stages: system development and training. Therefore, in the first phase of the activities of PKM IS-UMN will design an e-learning system for elementary school of Strada Karawaci. The PKM team conducted in-depth research to understand the user needs (requirements) and conducted interviews with teachers and students. In addition, the development phase of the e-learning system is also carried out with consideration of the curriculum and school learning methods.
PENGEMBANGAN SISTEM E-COMMERCE UNTUK UMAT PAROKI KARAWACI Desanti, Ririn Ikana; Suryasari; Wella; Wiratama, Jansen; Sanjaya, Samuel Ady
JP2N : Jurnal Pengembangan Dan Pengabdian Nusantara Vol. 2 No. 1 (2024): JP2N :September - Desember 2024
Publisher : Yayasan Pengembangan Dan Pemberdayaan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62180/vxyvwz23

Abstract

Paroki Karawaci memiliki sebuah divisi yang bernama Pengembangan Usaha Sosial dan Modal (PUSM) yang bertujuan untuk membantu menyejahterakan kehidupan umat gereja melalui beberapa kegiatan yang salah satunya yaitu kegiatan menjual berbagai macam produk makanan yang berasal dari para umat. Sebelumnya proses pemasaran dan penjualan dilakukan secara door-to-door ke rumah para umat, namun sayangnya hal tersebut tidak dapat dilakukan lagi pada saat pandemi melanda Indonesia sehingga menyebabkan omset penjualan menurun drastis bahkan hampir tidak ada. Berdasarkan permasalahan tersebut, tim pengabdian kepada masyarakat (PKM) dari program studi sistem informasi UMN mengusulkan cara pemasaran dan penjualan secara online menggunakan situs web e-commerce yang dirancang dan dipergunakan khusus untuk umat gereja paroki karawaci. Situs web e-commerce dirancang menggunakan metode prototyping dan bahasa pemodelan yang digunakan adalah UML diagram. Situs web e-commerce tersebut memiliki fitur utama pengelolaan produk, pengelolaan penjual, transaksi penjualan dan pengiriman barang. Hal yang perlu menjadi perhatian khusus oleh tim pengembang adalah sistem harus user friendly dan seluruh fiturnya juga harus dibuat sederhana karena calon pengguna sistem merupakan pengguna pemula (novice user). Kegiatan PKM telah berhasil terlaksana dengan baik dan untuk tahap selanjutnya situs web e-commerce akan mulai diimplementasi oleh paroki karawaci dan sebelumnya akan diberikan pelatihan kepada calon pengguna.
Pengaruh Pembelajaran Akuntansi Keuangan, Literasi Keuangan, Locus Of Control, Gaya Hidup, dan Financial Technology Terhadap Perilaku Keuangan Mahasiswa Akuntansi Universitas Kristen Duta Wacana Wella; Setyani, Astuti Yuli
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 6 No. 12 (2025): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v6i12.10305

Abstract

This study aims to analyze the influence of financial accounting learning, financial literacy, locus of control, lifestyle, and financial technology on the financial behavior of Accounting Study Program students at Duta Wacana Christian University. The theoretical framework is based on the Theory of Planned Behavior (Ajzen, 1991), which explains that behavior is influenced by intention, attitude, subjective norms, and perceived behavioral control. This research employs a quantitative approach with a correlational method. Primary data were collected through questionnaires distributed to 135 respondents and analyzed using multiple linear regression with SPSS software. The results indicate that financial accounting learning, locus of control, and financial technology have a positive effect on students’ financial behavior, while financial literacy and lifestyle show no effect. Simultaneously, all five independent variables affect students’ financial behavior. These findings emphasize the importance of accounting education, self-control, and the wise use of financial technology in shaping healthy financial behavior among students.
User-Centered Design for a Multi-Role Academic Support System in Higher Education Yoliando, Fonita Theresia; Wella; Desiyanti, Ririn Ikana
de-lite Vol. 5 No. 1 (2025): July 2025
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37312/de-lite.v5i1.10105

Abstract

Effective academic support is a critical component of student success in higher education. As institutions increasingly adopt student-centered learning models, academic counseling emerges as a key mechanism to provide guidance and address individual learning needs. Despite its importance, the counseling process often suffers from structural limitations. Lecturers face heavy workloads that constrain their ability to offer personalized support, while counseling records are typically fragmented and difficult to track. This study aims to design and develop a multi-user system to streamline academic advising and student progress monitoring. The platform incorporates four essential functions: academic scheduling, counseling engagement, performance tracking, and study plan records. It is intended to serve a range of users, including students, faculty advisors, academic staff, and institutional leaders, by facilitating timely and data-informed decision-making. To ensure the system aligns with user needs, a User-Centered Design (UCD) methodology was applied. Focus group discussions were conducted with stakeholders across various roles, including students, lecturers, program heads, deans, and academic staff. The insights were translated into functional requirements, flowcharts, information architecture, and user interface design. The paper also discusses the iterative design process, highlights challenges encountered during development, and offers recommendations for institutions seeking to implement integrated academic support systems.
Leveraging Machine Learning to Predict Academic Specialization Pathways in Higher Education Tamrin, Rendy Wirawan; Wella
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.6941

Abstract

This study developed a machine learning-based model to predict academic concentration selection among information systems students at Universitas Multimedia Nusantara (UMN). A survey of 125 students from the 2024 cohort revealed that 90% experienced difficulties in choosing a specialization, primarily due to limited information on course relevance, unclear academic pathways, and career uncertainty. While the survey provides a contextual background, the predictive model was trained using historical academic performance data from the 2021–2023 cohorts. The three classification algorithms, Decision Tree, Random Forest, and Extreme Gradient Boosting (XGBoost) were implemented following the CRISP-ML methodology. To address class imbalance in the dataset, the Synthetic Minority Over-sampling Technique (SMOTE) was applied, followed by hyperparameter tuning and feature selection. The Random Forest model demonstrated superior performance, achieving an accuracy of 78.08% on the 2021–2022 cohort data, outperforming Decision Tree and XGBoost across all experimental settings. This result highlights Random Forest's robustness in this context, particularly after the integration of SMOTE and optimization procedures. The main contribution of this study lies in the application of machine learning for academic pathway prediction in an Indonesian higher education setting, providing a data-driven decision support tool to assist students in making informed and personalized specialization choices.
Co-Authors Desiyanti, Ririn Ikana Faza, Ahmad Johan, Monika Evelin Ririn Ikana Desanti Sanjaya, Samuel Ady Setyani, Astuti Yuli Suryasari Tamrin, Rendy Wirawan Wiratama, Jansen Yoliando, Fonita Theresia