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All Journal Jurnal Pengabdian Masyarakat Ilmu Pendidikan Jurnal Kajian dan Penelitian Umum Jurnal Keadilan Hukum Jurnal Bisnis Digital dan Sistem Informasi
Avira Budianita
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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PERANAN HUKUM DITENGAH DIGITALISASI INDUSTRI KEUANGAN Dika Anggara Putra; Arina Novitasari; Avira Budianita
JURNAL KEADILAN HUKUM Vol 5, No 2 (2024): JURNAL KEADILAN HUKUM
Publisher : JURNAL KEADILAN HUKUM

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

Abstract

  AbstractThe digitalization of the financial industri plays a very important role in the development of the progress of the financial system and the world economy, it is undeniable that all financial industries have entered the transition process from the conventional financial industri to a digital-based financial industri. This is evidenced by a report compiled by Bank Indonesia in the third quarter of 2023, electronic money with a transaction value increased by 10.34% (YoY) to reach IDR 116.54 trillion and digital banking transactions worth IDR 15,148 trillion with a growth rate of 12.8% (YoY). The government and related regulators must follow the development of legal products that serve as a legal umbrella in the process of developing the digitalization of the financial industri.Keywords: Digitalization, Legal Product Financial, Financial Industri
APLIKASI CHATBOT PERSEWAAN KOST BERBASIS WEB MENGGUNAKAN METODE WATERFALL Dicky Bagas Oktaviandia; Saiful Ulya; Achmad Ridwan; Avira Budianita
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 4, No 1 (2023): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v4i1.2015

Abstract

The growth of boarding houses is currently increasing, forcing boarding owners to do various ways to offer their business. The limited availability of information regarding the location, facilities, and costs of the boarding house makes prospective boarding house tenants do not have relevant information, so they become disinterested. As in Pak Purwanto's boarding house, one of them is marketing, which is still done manually, which makes most prospective boarding house tenants not aware of this information because it is not widely spread. Therefore, the purpose of this research is to build a web-based boarding chatbot application using the waterfall method (case study: kost pak purwanto) to make marketing more effective and efficient. Data collection was carried out in several ways, namely literature study, observation, and interviews. The results obtained in this study after going through the implementation and testing stages with the black box testing method produce a computerized system with artificial intelligence technology in the chatbot that can answer questions from prospective boarding house tenants so that this system becomes better, more effective and efficient than the previous system which was still manuals. The existence of this system makes it easier for boarding house owners to market their boarding houses so that they can develop more and become more well-known. Keywords: Information systems, Applications, Artificial intelligence, Chatbots, Boarding houses, Waterfall, Black box testing.
SYSTEMATIC LITERATURE REVIEW PREDIKSI KINERJA SISWA: TREN PENELITIAN, METODE, DATASET, DAN ATRIBUT Avira Budianita; M. Adhitya Wardhana; Fandy Indra Pratama; Amalia Fitriyanti
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 1, No 1 (2020): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v1i1.888

Abstract

Prediksi kinerja siswa banyak diteliti oleh peneliti-peneliti dunia khususnya di bidang pendidikandan data mining. Prediksi kinerja siswa pada beberapa penelitian pasti tidak lepas dari metode datamining khususnya metode klasifikasi. Maraknya penelitian tentang kinerja siswa karena dataset yangdigunakan yaitu dataset pendidikan yang mana pasti memiliki kapasitas yang besar dan terdapat beberapayang belum terolah dengan baik. Dari penelitian prediksi kinerja siswa, terdapat beberapa permasalahanyaitu belum teridentifikasinya secara baik tren penelitian, metode, dataset, dan atribut dalam prediksikelulusan siswa. Tren penelitian tentang prediksi kinerja siswa yang ada masih belum cukup untukmengetahui tingkat popularitas dari penelitian prediksi kinerja siswa dan masih lemahnya identifikasimengenai metode, dataset dan atribut yang sering digunakan dan terbaik. Kurangnya analisis tersebutmenjadikan systematics literature review ini jawaban untuk mengetahui tren penelitian prediksi kinerjasiswa serta metode, dataset, dan atribut apa saja yang digunakan dalam prediksi kinerja siswa. Darisystematics literature review ini didapatkan hasil analisis berupa tren penelitian yaitu tren tahun penelitiandan tren negara penelitian serta hasil analisis berupa metode, dataset, dan atribut yang sering digunakandan terbaik dalam prediksi kinerja siswa.Kata Kunci: Systematic Literature Review, Kinerja Siswa, Data Mining, Dataset Pendidikan, TrenPenelitian
SIKAP KONSUMEN PADA BELANJA ONLINE TOKOPEDIA EFEK KUALITAS LAYANAN ELEKTRONIK, KEPERCAYAAN DAN KEPUASAN KONSUMEN ELEKTRONIK M. Adhitya Wardhana; Avira Budianita
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 1, No 1 (2020): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v1i1.889

Abstract

Pada zaman yang semakin canggih sekarang ini, dapat merubah pola kegiatan masyarakat yangsemula berbelanja harus datang ke lokasi, kini berbalanja bisa dilakukan dari rumah dengan berbelanjaonline. Tokopedia merupakan salah satu e-commerce yang bergerak dalam bidang belanja online, yangsekarang ini diminati oleh masyarakat pada umumnya. Alasan peneliti, melakukan penelitian ini adalahuntuk mengetahui sikap dan respon konsumen mengenai Kualitas Layanan Elektronik, Kepercayaan, sertaKepuasan Konsumen Elektronik, yang ditawarkan oleh Tokopedia. Metode yang diambil adalah metodekuantitatif, dengan mengambil data secara online, dengan menyebarkan kuisioner kepada targetresponden, yang didalam penelitian ini adalah Masyarakat yang familiar dengan belanja online danpernah menggunakan Tokopedia untuk berbelanja online. Sebanyak 50 Kuisioner disebar untukmengetahui Validitas dan Relibikitas data yang diambil, Serta sebanyak 150 kuisioner disebarkan kepadaseluruh masyarakat yang pernah menggunakan Tokopedia. Alat analisis data yang digunakan adalahStruktural Equation Model (SEM).
Edukasi Sekolah Ramah Anak Sinergi Pendidikan Karakter, Kesadaran Hukum, dan Literasi Digital dalam Membentuk Lingkungan Bebas Bullying di SD Abshor, Devy Aufia; Arina Novitasari; Avira Budianita
Jurnal Pengabdian Masyarakat Ilmu Pendidikan Vol. 5 No. 2 (2026): May 2026
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpm-ip.vol.5i.2.1685

Abstract

This community service was carried out in January 2026 which aims to improve the understanding and skills of teachers and students in implementing positive character values, strengthening digital literacy and raising awareness of the importance of legal protection for children so as to create a school culture that is safe, orderly, and respects the rights of every individual. In order to achieve this goal, the community service educates students and teachers about child-friendly schools that synergize character education, legal awareness, and digital literacy in creating a bullying-free environment in elementary schools. Bullying is a problem faced at SD Aisyiyah Multilingual Darussalam Kudus, based on observations and interviews, there are still student behaviors that cause discomfort to other students both verbally, socially, and non-verbally; lack of knowledge about the rules; and the weak child-friendly school culture. This community service uses the PAR (Participatory Action Research) method and test questions. This community service has two activities, namely an inspirational class with 18 students, and a workshop with 14 teachers. The results of the pretest and post-test showed an increase after education with an average of 18.3% of students and 18% of teachers. This improvement is proven by the active participation of students and teachers during role playing, project creation, case studies, and Q&A sessions.
Rancang Bangun Sistem Presensi Berbasis Face Recognition dan Liveness Detection dengan Metode YOLO Ainun Maghfiroh; Avira Budianita; Saiful Ulya
Jurnal Kajian dan Penelitian Umum Vol. 4 No. 3 (2026): Juni: Jurnal Kajian dan Penelitian Umum
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jkpu-nalanda.v4i3.2396

Abstract

Manual attendance systems in student organizations are highly vulnerable to data manipulation, recording errors, and slow compilation. This study aims to design and implement a secure, accurate, and real-time digital attendance system using face recognition and passive liveness detection based on the YOLOv11 deep learning algorithm, integrated with the Laravel web framework. Following the structured Waterfall model, this research focuses on a population of 50 active members of Tapak Suci at Universitas Muhammadiyah Kudus, with a test sample of 20 individuals selected through purposive sampling. The system architecture is organized into five functional layers: Input, Processing (comprising YOLOv11, ArcFace, and Cosine Similarity), Application, Data, and Output. The system evaluation demonstrates excellent biometrics performance, achieving an overall system accuracy of 95.0%, a False Acceptance Rate (FAR) of 1.5%, a False Rejection Rate (FRR) of 5.0%, and an average processing latency of 1.2 seconds. Furthermore, the passive liveness detection module successfully mitigated up to 97.5% of presentation spoofing attacks, including high-resolution printed photos and video replays. The developed system effectively delivers an efficient, transparent, and highly secure biometric attendance solution to replace conventional paper-based methods.
Co-Authors Achmad Ridwan Ainun Maghfiroh Amalia Fitriyanti Arina Novitasari Arina Novitasari Devy Aufia Abshor Dicky Bagas Oktaviandia Dika Anggara Putra M. Adhitya Wardhana Pratama, Fandy Indra Saiful Ulya