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All Journal Jurnal EMT KITA Sains Manajemen:Jurnal Manajemen UNSERA JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) J-MAS (Jurnal Manajemen dan Sains) Owner : Riset dan Jurnal Akuntansi Jurnal Sains Sosio Humaniora JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Jurnal Mantik JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) Jurnal GeoEkonomi Jurnal Sains Manajemen dan Bisnis Indonesia TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Riset Bisnis dan Manajemen Enrichment : Journal of Management EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Jurnal Scientia Jurnal Pengabdian Masyarakat Nusantara Jurnal Ekonomi Jurnal Abdimas Kartika Wijayakusuma Jurnal Ekonomi Perjuangan (JUMPER) AJAD : Jurnal Pengabdian kepada Masyarakat International Journal of Management Science and Information Technology (IJMSIT) Jurnal Manajemen Formosa Journal of Applied Sciences (FJAS) Jurnal Ilmu Sosial dan Humaniora Paradigma
Erpurini, Wala
Unknown Affiliation
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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THE EFFECT OF PRICE AND FREE SHIPPING TAGLINE ON PURCHASE DECISION AT E-COMMERCE SHOPEE (STUDY ON ALUMNI OF SMAN 13 BANDUNG) Erpurini, Wala; Muhammad Rifky Pratama; Irma Devita Haryono
Jurnal Ekonomi Vol. 11 No. 01 (2022): Jurnal Ekonomi
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.783 KB)

Abstract

This research was conducted on Shopee users at SMAN 13 Bandung alumni. The purpose of this research is to find out how much the price and free tagline contribute to purchasing decisions, either partially or simultaneously at Shopee. The research method that will be carried out in this research is descriptive method and associative method. In this study, the unit of analysis is the individual, namely the alumnus of Shopee SMAN 13 Bandung. The sample in this study were 125 respondents. Sampling using judgment sampling. The analytical method used is multiple linear regression analysis, in addition to testing the validity and reliability of the research instrument. Based on the results of the study indicate that there is a partial or simultaneous influence of price and tagline variables on purchasing decisions. The implication of this research is that Shopee can maintain price variations to compete with other e-commerce and realize the free shipping tagline so that consumers decide to buy at Shopee e-commerce.
The Qualitative Study on the Use of Managerial Accounting Information in Resource Allocation Decision-Making in Hotels Leonandri, Dino Gustaf; Erpurini, Wala
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol 9 No 1 (2025): April
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v9i1.2731

Abstract

This qualitative study explores the use of managerial accounting information in resource allocation decision-making within the hotel industry. The research aims to understand how hotel managers utilize accounting data to make strategic decisions regarding limited resources like staff, budget, and operational assets. Conducted through in-depth interviews with key decision-makers in various hotels, the findings reveal that managerial accounting information—cost analysis, budget forecasts, and performance reports—plays a crucial role in optimizing resource allocation and enhancing efficiency. Additionally, the study identifies challenges such as data accuracy, time constraints, and integrating accounting insights into daily operations. This research deepens understanding of the intersection between accounting practices and operational management in hospitality, offering practical insights for improving resource management and decision-making.
Penerapan strategi diversifikasi produk dan digital marketing pada UMKM GEMI 0418 Erpurini, Wala; Abdurahman, Khaerul Rizal
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 8 No. 1 (2025): May: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v8i1.5701

Abstract

Community Service Learning (KKN) is a student service program that is part of the higher education curriculum in Indonesia, in accordance with the Republic of Indonesia Law Number 20 of 2003. This program aims to connect academic theory with practice in the community, allowing students to apply the knowledge they have learned to directly help society. One of the main focuses of KKN is on Micro, Small, and Medium Enterprises (MSMEs), which play a crucial role in the economy by providing employment, income distribution, and economic growth. The method used is collaborative between students and MSMEs. The results of this KKN program include an increased use of digital marketing through Instagram social media, higher sales, product innovation, and improved confidence and independence of the MSMEs. The contributions of this KKN program are Local Economic Empowerment, Improved Human Resource (HR) Capacity, Strengthening the Relationship between Higher Education and the Community, and the Application of Academic Theory in Practice. KKN aims to enhance the digital capabilities of MSMEs, address marketing challenges, and support local economic growth through the integration of academic theory with field practice.
Pengembangan Ekosistem Pariwisata Terpadu Melalui Kolaborasi Multi-Sektor di Pulau Belitung Erpurini, Wala; Leonandri, Dino Gustaf; Alamsyah, Nur; Muhiban, Ayi
Jurnal Abdimas Kartika Wijayakusuma Vol 6 No 2 (2025): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v6i2.885

Abstract

Pulau Belitung memiliki potensi pariwisata yang sangat besar, baik dari keindahan alam, keunikan budaya, maupun keramahtamahan masyarakatnya. Keberhasilan Belitung menjadi tuan rumah dalam rangkaian kegiatan G20 telah memberikan dampak positif terhadap citra dan pengakuan internasional atas kekuatan sektor pariwisata daerah ini. Namun demikian, untuk menjaga kesinambungan dan daya saing pariwisata Belitung pasca- G20, diperlukanpengembangan ekosistem pariwisata yang terpadu dan berkelanjutan melalui kolaborasi antar sektor. Kegiatan pengabdian masyarakat ini bertujuan untuk memfasilitasi diskusi dan kerja sama antara pemerintah, pelaku industripariwisata, komunitas lokal, pelaku seni budaya, dan sektor pendukung lainnya guna menyusun strategi pengembanganpariwisata secara holistik. Metode yang digunakan meliputi focus group discussion (FGD), pelatihan singkat, dan pemetaan potensi lokal. Hasil kegiatan menunjukkan bahwa sinergi antar sektor sangat diperlukan untuk membentuk ekosistem yang mendukung penguatan tema pariwisata Belitung, peningkatan kualitas layanan, serta pengembangan event-event wisata berbasis kearifan lokal. Penguatan kolaborasi ini diharapkan dapat menjadi fondasi dalam membangun pariwisata Belitung yang kompetitif, inklusif, dan berkelanjutan di masa mendatang.
Fine-Tuned Autoencoder Neural Network for Anomaly Detection in Accounting Transactions Nur Alamsyah; Rahmani, Hani Fitria; Erpurini, Wala; Budiman, Budiman
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8697

Abstract

Anomaly detection in accounting transactions plays a crucial role in identifying irregularities that may signal fraud, errors, or unusual financial behavior. Traditional rule-based and statistical methods often struggle to detect complex and hidden patterns in large-scale financial datasets. This paper presents a fine-tuned Autoencoder Neural Network for detecting anomalies in structured accounting records. The model processes feature such as date, account type, debit, credit, transaction category, and payment method. Preprocessing includes handling missing values, encoding categorical data, and extracting temporal features. The Autoencoder architecture was optimized using multiple hidden layers and dropout regularization to prevent overfitting. Reconstruction errors were used to determine anomaly scores, with a dynamic threshold set at the 98th percentile. Experimental results show that the model accurately distinguishes normal and anomalous transactions, identifying 2,000 outliers from a total of 100,000 records. Additional analysis indicates that anomalies often occur during weekends or holidays and involve unusual payment methods. These findings demonstrate the potential of the fine-tuned Autoencoder as a scalable and intelligent anomaly detection framework to support auditors and financial analysts in proactive fraud prevention.
Co-Authors Abdul Holik Abdurahman, Khaerul Rizal Azhar Affandi Budiman Desfitriady Fachri Setiawan Farmasih, Sarah Hakim Mulfatama Hani Fitria Rahmani Hardianti Irfan Kurnia Ramadhan Irma Devita Haryono Leonandri, Dino Gustaf Maman Rukmana Moch Badrudin Moh. Sidik Priadana Muhammad Rifky Pratama Muhiban, Ayi Noerdiana, Yusep Nur Alamsyah Nur Alamsyah Nur Alamsyah, Nur Nurhasanah, Tiara Rana Ardila Rahma Restu Astuti Rimbun Kencana Safitri, Tri Ayu Suci Indahsari Sutreusna, Dejan Syifa Aulia Fajrin Tri Handayani Undang Juju Wapa Samrotul Janah Wia Handayani Zulyanti, Rafikah