Claim Missing Document
Check
Articles

Found 9 Documents
Search

The Effectiveness of Business Intelligence Management Implementation in Industry 4.0 Choi, Lee Kyung; Panjaitan, Aropria Saulina; Apriliasari, Dwi
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 2 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1598.645 KB) | DOI: 10.33050/sabda.v1i2.106

Abstract

Changes in business processes that run very fast in the industrial era 4.0 have positive and negative impacts on business players. Industry 4.0 is a technology that companies need to promote Industry 4.0 is a technology that businesses need to promote innovation strategies and respond quickly in a volatile market. It primarily focuses on interconnectivity, digital technology, predictive analytics, and machine learning to transform the way businesses operate and thrive. As a result, this article suggests and encourages the implementation of Industry 4.0 in organizations. Examining the current state of business intelligence (BI), how it is positively impacting organizations at the economic and business levels in terms of decision making, and some success stories applied across various business, academic, social, and government circles. Furthermore, it discusses the expected future of Industry 4.0, particularly in BI, and how businesses should prepare for this revolution. This article contributes knowledge about the current state and positive consequences of Industry 4.0, as well as the rapid advancement of technology when implemented in organizations and the harmonization of production and intelligent digital technology.
Inovasi Pemanfaatan Blockchain dalam Meningkatkan Keamanan Kekayaan Intelektual Pendidikan Wasriyono; Apriliasari, Dwi; Bayu Ajie Putra Seno
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 1 No 1 (2022): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.91 KB) | DOI: 10.33050/mentari.v1i1.142

Abstract

Indonesia saat ini sedang mencari metode mutakhir untuk melindungi Ijazah dan Kekayaan Intelektual seperti Transkrip Nilai dari pemalsuan. Ini dilakukan karena adanya oknum pemalsu dokumen, ada beberapa contoh yang didokumentasikan. Salah satu cara menggunakan transkrip palsu adalah untuk mendaftarkan diri ke sekolah yang bagus dan mendapatkan promosi di tempat kerja. Blockchain adalah teknologi baru yang diklaim mampu menyelesaikan masalah tersebut. Sifat teknologi blockchain yang aman, tidak dapat diubah, terdistribusi, dan tentunya transparan yang dimana memenuhi persyaratan untuk dokumen yang di transkrip. Blockchain digunakan untuk membangun intervensi baru untuk meningkatkan proses pendidikan tinggi. cara-cara yang berlaku untuk berbagi, menyampaikan dan mengamankan data pengetahuan dan catatan pribadi para mahasiswa/i. Penerapan teknologi Blockchain membawa kemajuan konseptual dalam sektor pendidikan tinggi di mana ia telah menambahkan nilai substansial dengan berbagi, menyampaikan dan mengamankan data pengetahuan dan catatan pribadi siswa. Untuk mereplikasi proses belajar mengajar universitas, penelitian sedang dilakukan di bidang ini. Banyak penelitian telah dilakukan, namun tidak ada yang secara khusus menunjukkan prosedur sistematis untuk kegiatan belajar mengajar. Banyak penelitian telah dilakukan, namun tidak ada yang secara khusus menunjukkan prosedur sistematis untuk kegiatan belajar mengajar. Bagaimana teknologi blockchain dapat membantu kegiatan belajar mengajar adalah pertanyaan studi utama. Kelompok fokus dengan perwakilan dari 9 universitas terkemuka digunakan sebagai metode kualitatif dalam penelitian ini untuk membahas proses operasi akademik. Temuan menunjukkan bahwa layak untuk mengintegrasikan Teknologi Blockchain ke dalam proses belajar mengajar untuk mencegah pemalsuan dokumen transkrip universitas.
Inovasi Manajemen Pengajuan Judul Kuliah Kerja Praktek (KKP) Berbasis Laravel Framework Alwiyah, Alwiyah; Sayyida, Sayyida; Sunarya, Po Abas; Apriliasari, Dwi
Technomedia Journal Vol 7 No 2 October (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.46 KB) | DOI: 10.33050/tmj.v7i2.1902

Abstract

Penelitian ini bertujuan untuk memberikan inovasi manajemen penginputan judul kuliah kerja praktek secara online berbasis laravel. Berkembang pesatnya angka positif Covid-19 membuat dunia menjadi resah, termasuk negara Indonesia yang sudah melalui 1 tahun lebih masa pandemi terhitung dari bulan Maret 2020 hingga bulan Mei 2021. Lonjakan kasus positif Covid-19 memberikan dampak yang signifikan dalam keberlangsungan proses mengajar lembaga pendidikan. Covid-19 memaksa terjadinya transformasi digital menuju era pendidikan 4.0. Teknologi menjadi satu - satunya jawaban yang dapat membantu selama semasa pandemi, dengan adanya teknologi proses belajar mengajar tetap dijalankan, rapat, diskusi dan hal lainnya tetap berlangsung secara online. Dengan transformasi digital membuat cara konvensional tergantikan, salah satunya penginputan judul Kuliah Kerja Praktek (KKP) pada Universitas Raharja yang memanfaatkan kemampuan Ms. Excel. Pelayanan input judul KKP secara offline ini harus tergantikan, mengingat adanya Large-scale Social Restrictions yang mengharuskan mahasiswa melakukan kontak jarak jauh dengan pengurus penginputan judul KKP serta mengurangi pelayanan mengisi formulir yang cukup memakan waktu serta terjadinya kesalahan input data. Metode yang digunakan dalam penelitian adalah metode Agile Scrumban yang menjadi referensi dalam pengerjaan teknologi berbasis laravel. Dengan hadirnya teknologi ini menjadi temuan dalam menggantikan metode konvensional serta terobosan di masa pandemi yang serba digital. Penerapan penginputan KKP online, dapat memberikan kemudahan dan efisiensi dalam pengerjaannya
Blockchain Technology Application: Authentication System in Digital Education Amitkumar; Sanni, M. Ifran; Apriliasari, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 3 No 2 (2021): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v3i2.209

Abstract

The application of technology in various aspects of life has made it easy for many people. However, there are also shortcomings in the use of technology, one of which is security issues, both transactions and data. Given these issues in this paper, we propose blockchain technology for an authentication system that will protect data rights and interests and be safe from interference to store information in the form of confidential text, especially in the application of technology in education. From this writing, there are 2 benefits, the first is that all data stored in the education system is guaranteed and there will be increased trust from both parents, teachers and other parties due to the decentralized nature of blockchain.
Transformation of Payment in Education Use Bitcoin with Reduced Confirmation Times Henderi; Aini, Qurotul; Manongga, Danny; Sembiring, Irwan; Apriliasari, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1 (2023): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1.285

Abstract

Significant changes in the financial system are prompted by the growth of the national economy, particularly as a form of payment. The means evolved from barter to things or commodities to metal and paper as the base materials for money before arriving at barter. With such significant changes, there is also a need for a transformation in the world of education in order to welcome technological advancements and one way to survive the changes in the increasingly rapid digital era. As the economic need increases, trade transaction methods shift from traditional to internet-based. One of the necessary international online payment options is bitcoin. For many applications where payments are modest and instantaneous approval is required, Bitcoin is inappropriate because of the high transaction fees and long confirmation periods. As a result, despite the introduction of numerous rival cryptocurrencies to address these problems, the Bitcoin network continues to be the most extensively used payment method. Unquestionably, new finding of this research that effectively address the problems of high transaction costs and transaction verification times are needed if the company is to benefit from its user network. The Lightning Network (LN), which makes use of off-chain bidirectional payment channels between participants, is one of the most recent payment network concepts to be proposed.
Pemanfaatan AI untuk Kesehatan Publik: Pengalaman dan Harapan Pengguna Sistem Kualitas Udara dengan UTAUT2 Aini, Qurotul; Santoso, Nuke Puji Lestari; Hardini, Marviola; Faturahman, Adam; Maulana, Sabda; Apriliasari, Dwi
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 1 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i1.3233

Abstract

Pencemaran udara telah terbukti ada di seluruh dunia. Ini menunjukkan banyak bukti yang mempengaruhi efek buruk terkait kesehatan yang menyebabkan penyakit dan bahkan kematian, dan perkembangan teknologi telah membantu memantau paparan orang terhadap pencemaran udara. Penelitian ini menganalisis faktor-faktor yang mempengaruhi kegunaan yang dirasakan dari deteksi pencemaran udara pada aplikasi AIKU berdasarkan model Teori Penerimaan dan Penggunaan Teknologi yang Terpadu (UTAUT2) dan juga Teori Motivasi Perlindungan Diri (TMPD). Sebanyak 371 peserta dengan sukarela menjawab survei mandiri yang terdiri dari konstruk yang diadaptasi yang mencakup faktor-faktor seperti, Harapan Kinerja (PE), Harapan Upaya (EE), Pengaruh Sosial (SI), Kondisi yang Memfasilitasi (FC), Motivasi Hedonis (HM), Nilai Harga (PV), Niat menggunakan (IU), Meningkatkan Kesehatan Masyarakat (EPH). Metode Persamaan Struktural (SEM) digunakan untuk menentukan faktor-faktor yang mempengaruhi kegunaan yang dirasakan dari aplikasi AIKU. Hasil penelitian menunjukkan bahwa PE adalah faktor utama yang menyebabkan IU yang sangat tinggi di kalangan pengguna sehingga dapat meningkatkan EPH, selain itu FC terbukti menjadi faktor paling signifikan kedua yang mempengaruhi IU, diikuti oleh HM, PV, SI, EE. Studi ini mempertimbangkan evaluasi kegunaan di antara aplikasi seluler terkait kesehatan yang mencakup pencemaran udara. Hasil kerangka kerja dalam model ini diterapkan untuk mengevaluasi faktor dan aplikasi lain yang terkait dengan kesehatan masyarakat
Digital Onboarding in Agricultural Platforms and its Impact on Agricultural Productivity Sunarjo, Richard Andre; Pujiati, Tri; Apriliasari, Dwi; Hardini, Marviola
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.688

Abstract

This study explores the transformative role of digital onboarding in the agricultural sector, emphasizing its potential to bridge the digital divide, enhance productivity, and promote sustainability. By integrating advanced technologies such as Artificial Intelligence (AI), blockchain, and the Internet of Things (IoT), digital onboarding provides a pathway for stakeholders to adopt precision agriculture. It also helps overcome key obstacles such as limited digital skills and unequal access to tools or infrastructure. The research extends digital ecosystem theory by framing onboarding as a practical pathway for building inclusive and resilient farming systems. It highlights the importance of integrating technological innovations with policy frameworks and capacity building initiatives to ensure equitable benefits for smallholder farmers and marginalized groups. A qualitative and analytical approach was employed, synthesizing insights from scientific literature, case studies, and expert reviews. The study examines global agricultural digital platforms such as Estagrx to evaluate the effectiveness of digital onboarding strategies in diverse geographical and socio- economic contexts. Findings reveal that digital onboarding strengthens agricultural system robustness by enhancing stakeholder engagement, improving supply chain transparency, and optimizing resource utilization. Additionally, it supports sustainable agricultural practices through precision techniques that reduce wastage and conserve resources. The study concludes that addressing barriers such as cultural resistance and socioeconomic disparities requires collaborative efforts among governments, private sectors, and international organizations to scale digital solutions for agriculture effectively.
Designing an AI-Based Expert System to Enhance Standard Language Use on Social Media Aini, Qurotul; Naurah, Syahla; Bist, Ankur Singh; Sunarjo, Richard Andre; Novitasari, Dewiana; Sasono, Ipang; Apriliasari, Dwi
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.788

Abstract

The widespread use of social media has significantly transformed the way people communicate, often leading to informal, shortened, and mixed-language expressions that deviate from standard linguistic norms. This phenomenon raises concerns about the erosion of proper language usage, particularly among younger generations. This study aims to design an AI-based expert system to support and improve the use of standard Indonesian on digital communication platforms. By integrating language rules into a decision-support model, the system can provide real-time feedback on grammar, spelling, and appropriate word usage during online interactions. This research adopts a qualitative approach through literature review and system design framework, emphasizing the need for intelligent linguistic assistance tools. The proposed expert system will be capable of analyzing user-generated content, detecting deviations from formal language standards, and offering suggestions or corrections. The findings contribute to ongoing efforts to preserve national language identity in the digital age and promote linguistic awareness through technology. Ultimately, this study offers an innovative solution to bridge the gap between informal digital trends and the preservation of standard language, encouraging responsible and high-quality communication in the modern digital ecosystem.
Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Fazri, Muhammad Faizal; Ramadhan, Tarisya; Apriliasari, Dwi; Julianingsih, Dwi; Fitzroy, Arabella
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.39

Abstract

In the digital era, Big Data Analytics has emerged as a crucial tool for optimizing marketing strategies. This research explores the integration of Big Data into marketing, aiming to identify effective analytical techniques and their impact on marketing outcomes. The study utilized secondary data from various sources, including sales transactions, social media interactions, customer demographics, and web analytics. The analysis process involved data cleaning, integration, predictive modeling, clustering, sentiment analysis, and data visualization. The findings reveal that promotional campaigns and seasonal discounts significantly boost sales, with customer segmentation identifying three key groups: discount hunters, loyal customers, and occasional shoppers. Sentiment analysis shows positive customer feedback, though logistics-related issues warrant improvement. These results underscore the importance of targeted and personalized marketing strategies driven by data insights. The research contributes to marketing theories by providing empirical evidence on the effectiveness of Big Data Analytics in enhancing marketing strategies. Further research is recommended to explore its applicability across different industries, incorporate more diverse data sources, and utilize advanced analytical techniques to refine marketing strategies.