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All Journal Scientific Journal of Informatics Jurnal Keadilan Hukum Jurnal Bisnis Digital dan Sistem Informasi
Avira Budianita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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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).
Robust Human Gait Recognition with Convolutional Neural Network based on Gait Energy Image Pratama, Fandy Indra; Akhmad Pandhu Wijaya; Gilar Pandu Annanto; Avira Budianita; Hairudin Farid Sunanda
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.v13i1.37383

Abstract

Purpose: Human gait recognition is one of the developments in artificial intelligence technology. Gait recognition is a biometric recognition technique that uses no direct interaction with an object, allowing for identification of individuals based on their gait. However, this recognition faces challenges, including varying camera angles (00 - 1800), so this requires a more in-depth introduction. Methods: Therefore, based on the references, this study proposes using the Gait Energy Image (GEI) and Convolutional Neural Network (CNN) features for in-depth extraction and recognition of each image in the Casia B Dataset, which is then compared with the results of previous studies. Result: The results of this study, with the division of the Casia B Dataset 80% as training data and 20% as testing data and 11 camera angles between 00 - 1800 produced an accuracy rate of 99.48%. Novelty: So the accuracy achieved with this deep learning technique exceeds that of previous research using conventional methods and this gait pattern recognition technique can be used to be implemented in a biometric recognition system based on human gait patterns.
Co-Authors Achmad Ridwan Akhmad Pandhu Wijaya, Akhmad Pandhu Amalia Fitriyanti Arina Novitasari Dicky Bagas Oktaviandia Dika Anggara Putra Hairudin Farid Sunanda M. Adhitya Wardhana Pratama, Fandy Indra Saiful Ulya