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All Journal ANDHARUPA Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Bohr: Jurnal Cendekia Kimia Journal of Computer Science and Technology Application
Septiani, Nanda
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Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Digital Business Student Development for Entrepreneurs with Software Septiani, Nanda; Singh Bist , Ankur; Sriliasta Bangun, Cicilia; Dolan, Ellen
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.699 KB) | DOI: 10.33050/sabda.v1i1.74

Abstract

Era revolution 4.0, universities throughout Indonesia are computer technology and the economy. This article provides sufficient detail about the course's pedagogical design and practical implementation to serve as a model for how entrepreneurship and business issues can be integrated into a software engineering program. Courses are evaluated using learning diaries and questionnaires, as well as principal lecturer learning in each of the three sample courses The aim of this course is to provide students with an introduction to lean startup methods for ideas/innovations and further product and company development. This course will teach students about the software industry, entrepreneurship, teamwork, and lean startup methodologies and This article provides sufficient detail about the course's pedagogical design and practical implementation to serve as a model for the Course to be evaluated using learning and questionnaires.
Analisis Faktor Kepuasan dan Minat Penggunaan E-Money Flazz BCA di Kota Tangerang Zarasky, Dwiki; Septiani, Nanda
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 (401.955 KB) | DOI: 10.33050/mentari.v1i1.140

Abstract

Kebutuhan masyarakat terus mengalami perubahan yang didukung oleh perkembangan teknologi, salah satu inovasinya berupa alat pembayaran yang mendukung masyarakat dalam melakukan transaksi dengan cepat, tepat dan aman di setiap transaksi secara elektronik. Transaksi ini bisa disebut dengan sistem pembayaran secara elektronik atau pembayaran menggunakan e-money (uang elektronik), yang dipengaruhi pula oleh perubahan pola hidup masyarakat. Flazz BCA menjadi inovasi pembayaran elektronik yang diluncurkan sejak 2009, yang terus melakukan perbaikan sistem. Namun sebelum melakukan perbaikan diperlukan Analisis terhadap minat pada penggunaan E-Money Flazz BCA, yang menjadikan tujuan dari penelitian ini guna mengetahui kepuasan pengguna yang berkaitan dengan persepsi manfaat, pengaruh sosial, pengaruh kepercayaan, dan persepsi risiko bagi masyarakat di Kota Tangerang. Metode yang akan digunakan berupa pengumpulan data, dimana terdapat kuesioner yang akan disebarkan kepada responden penelitian ini, yaitu pengguna e-money. Klasifikasi pada data akan yang digunakan yaitu data primer untuk penelitian, lalu digunakan teknik Purposive Sampling untuk sampel. SPSS (Statistical Product and Service Solutions) digunakan untuk pengolahan hasil kuesioner yang telah dikumpulkan. Hasil penelitian dari penelitian ini menunjukan persepsi manfaat, pengaruh sosial, dan pengaruh kepercayaan, memiliki pada minat menggunakan secara parsial. Sedangkan persepsi risiko tidak berpengaruh terhadap minat menggunakan secara parsial. Secara simultan kepercayaan, pengaruh sosial, persepsi manfaat, dan persepsi risiko secara bersama-sama berpengaruh terhadap minat menggunakan e-money.
Desain Aplikasi Software as a Service sebagai Layanan Perbelanjaan Online Lutfiani, Ninda; Aini, Qurotul; Rahardja, Untung; Septiani, Nanda; Gunawan, I Ketut
ANDHARUPA: Jurnal Desain Komunikasi Visual & Multimedia Vol. 9 No. 02 (2023): June 2023
Publisher : Dian Nuswantoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/andharupa.v9i02.5242

Abstract

AbstrakPada era teknologi 4.0 saat ini, masyarakat lebih cenderung menggunakan aplikasi perbelanjaan online sebagai media transaksi belanja mereka. Dalam pembuatan aplikasi pembelanjaan online, Software as a Service (SaaS) merupakan perangkat lunak yang dikenal sebagai layanan bersifat online yang memiliki peran penting dalam merancang desain aplikasi perbelanjaan online. iPanda merupakan sistem penjualan yang dapat diakses secara online melalui sebuah website yang menggunakan Software as a Service (SaaS). Dalam pembuatannya diperlukan rancangan prototype guna menghindari kesalahan fatal yang akan terjadi dalam pembuatan aplikasi Software as a Service (SaaS) iPanda. Penelitian ini bertujuan untuk merancang desain prototype aplikasi perbelanjaan online berbasis Software as a Service (SaaS) iPanda. Desain aplikasi Software as a Service (SaaS) iPanda harus dibuat fleksibel agar siapa pun yang menggunakan aplikasi tersebut dapat dengan mudah mengoperasikannya, tetapi tidak banyak vendor yang membuat aplikasi berbasis Software as a Service (SaaS) ini dibuat dengan sangat fleksibel sesuai dengan kebutuhan. Metode yang digunakan dalam penelitian ini adalah mind mapping dan prototyping. Dengan adanya perancangan desain aplikasi perbelanjaan online membuat desainer mengetahui kesalahan atau kekurangan sejak awal sebelum desain tersebut masuk ke dalam tahap penerapan dan evaluasi. Kata Kunci:  desain aplikasi, iPanda, layanan perbelanjaan online, software as a service AbstractIn the current era of technology 4.0, people are more likely to use online shopping applications as a medium for their shopping transactions. In making online shopping applications, Software as a Service (SaaS) is a software known as an online service that has an essential role in designing online shopping applications. iPanda is a sales system accessed online through a website that uses Software as a Service (SaaS). In its design, a prototype design is needed to avoid fatal errors that will occur in making the iPanda Software as a Service (SaaS) application. This study aims to design an online shopping application prototype based on iPanda's Software as a Service (SaaS). The design of the iPanda Software as a Service (SaaS) application must be made flexible so that anyone who uses the application can efficiently operate it. However, only a few vendors make Software as a Service (SaaS) based applications flexible according to needs. The method used in this research is mind mapping and prototyping. With an online shopping application design, designers know about errors or deficiencies before the design enters the implementation and evaluation stage. Keywords: application design, iPanda, online shopping services, Software as a Service (SaaS)
The Effect of Commitment to Managerial Performance Intervening Variable at the National Baznas of Riau Province Yusrawati; Mariyanti, Tatik; Septiani, Nanda
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 2 (2022): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i2.249

Abstract

The world has entered the digital era 4.0. Zakat and infaq are the drivers of economic improvement. This is because zakat and infaq funds are a source of funds for the community. Internal control is very necessary because good internal control is a reflection of good managerial practices. In order to maintain good trust, good managerial practices, one of which is through the existence of an internal control system. The company is expected to pay attention to human resources or employees by understanding the factors that can support employee performance. This study uses research design methods and data analysis methods. The aim is to empirically test the effect of internal control on accountability and management at BAZNAS Riau Province. Thus, it is hoped that the distribution of zakat, infaq, and appropriate funds can break the chain of poverty caused by income. Internal control is very necessary.
Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge Zulkarnain, Andy; Zainum Ikhsan, Ramzi; Septiani, Nanda; Victorianda
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2396

Abstract

As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyzed. The analysis, conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicates that AI and IoT significantly enhance efficiency, resource utilization, and overall performance. Real-time monitoring and predictive analytics improve market alignment and operational trends The findings suggest that organizations adopting AI and IoT can better navigate dynamic business environments, enhance productivity, and sustain growth. Moreover, fostering innovation and continuous technological improvement is essential. This research underscores AI and IoT’s transformative potential in reshaping business operations and securing a competitive edge. Future research should explore these technologies' industry-specific impacts and broader innovation potential.
Analisis LCMS (Liquid Chromatography Mass Spectrometry) dan Uji Aktivitas Antioksidan Ekstrak n-Heksana Daun Sawang Hijau dengan Metode DPPH. Septiani, Nanda; Nugroho, Wahyu; Toepak, Erwin Prasetya
Bohr: Jurnal Cendekia Kimia Vol 3 No 02 (2025): Bohr: Jurnal Cendekia Kimia Vol 03 No 02
Publisher : Program Studi Kimia Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Palangka Raya

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

Abstract

Antioxidant, n-hexane, Sawang Hijau, LCMS Sawang hijau (Cordyline fruticosa (L.) A. Chev) merupakan jenis tanaman hias yang banyak digunakan sebagai obat tradisional dan ritual ibadah umat Kaharingan suku Dayak di Kalimantan. Tanaman Sawang hijau diketahui mengandung berbagai macam senyawa antioksidan. Tujuan penelitian ini adalah untuk mengetahui senyawa metabolit sekunder dalam ekstrak daun sawang hijau yang dimaserasi menggunakan pelarut n-heksana dan aktivitas antioksidan dari ekstrak tersebut. Metode yang digunakan adalah analisis senyawa metabolit sekunder dengan LCMS dan uji aktivitas antioksidan dengan metode peredaman radikal bebas DPPH, yang dibandingkan dengan vitamin C dan diukur dengan spektrofotometer UV-Vis. Hasil penelitian menunjukkan bahwa ekstrak sawang hijau menghasilkan 0,0125% rendemen senyawa kimia dan diduga mengandung senyawa golongan steroid, flavonoid, dan alkaloid. Aktivitas antioksidan ekstrak daun sawang hijau sebesar 181,25 ppm yang berarti memiliki aktivitas antioksidan yang tergolong lemah, sementara vitamin C sebesar 24,99 ppm, yang berarti memiliki aktivitas antioksidan yang tergolong kuat. Daun sawang hijau yang diekstrak dengan pelarut n-heksana pada penelitian ini diduga dapat menarik senyawa metabolit sekunder berupa senyawa golongan flavonoid.
Digital Branding on Instagram and TikTok Driving Engagement for Cardboard Box Products Mochamad Heru Riza Chakim; Mulyati; Nasution, Erni Juliana Al Hasanah; Perez, Carlos; Septiani, Nanda
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/n4tsd720

Abstract

This study examines how digital branding on Instagram and TikTok, digital pro- motion, and product quality shape customer engagement and purchase intention in the packaging sector, using nuansa box indonesia Indonesia as the focal case. Gap research predominantly explores fashion, cosmetics, and F&B industries, leaving limited evidence on B2B/B2C packaging where products are often per- ceived as merely functional. We provide an in-depth case of a packaging brand and model the mediating role of customer engagement between digital strat- egy (branding, promotion) and purchase intention, estimated via PLS-SEM. The measurement model is robust (all loadings > 0.70; AVE > 0.50; Cronbach’s Alpha and Composite Reliability > 0.70). The structural model shows substan- tial explanatory power for purchase intention (R2 = 0.748). Product Quality is the strongest driver of Purchase Intention (β = 0.401), while Customer Engage- ment positively influences Purchase Intention (β = 0.288) and is significantly driven by Digital Branding (β = 0.489) and Digital Promotion (β = 0.375). The direct path from Digital Promotion to Purchase Intention is not significant (p = 0.060). Results indicate that compelling digital branding cultivates en- gagement that converts to purchase intention, but promotion alone is insufficient without strong product fundamentals. Managerially, firms should prioritize con- sistent, aesthetic branding to build engagement, leverage targeted promotions to activate trials, and sustain investment in product excellence as the ultimate lever of conversion and loyalty.
PoTS: Proof of Tunnel Signature for Certificate Based on Blockchain Technology Immaniar, Dewi; Azizah, Nur; Supriyanti, Dedeh; Septiani, Nanda; Hardini, Marviola
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1575.986 KB) | DOI: 10.34306/ijcitsm.v1i1.28

Abstract

Proof of Tunnel Signature (PoTS) is designed to avoid the main problems found in certificates based on Blockchain technology. In this case, it is so closely related to Cybersecurity. A lightweight protocol such as a Certificate Authenticated Key Agreement (CAKA) is needed to reduce the vulnerability of a system's operation, namely overcoming management overhead by using a decentralized system according to the characteristics of Blockchain Technology. PoTS is the second stage after determining the Key Agreement (KA) or certificate hash in authenticating a node, and this is also a significant step in minimizing computation costs. The nodes generated after the signing process remain anonymous and can be verified optimally. Smart contracts are also used as a support so that this research can ensure transparency and openness of transaction nodes to maintain and improve the efficiency of transaction security for a certificate based on Blockchain Technology.
Optimizing Student Engagement and Performance usingAI-Enabled Educational Tools Mirdad, Khaizure; Daeli, Ora Plane Maria; Septiani, Nanda; Ekawati, Anita; Rusilowati, Umi
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.22

Abstract

Education is the primary pillar in the progress of modern society. With the development of artificial intelligence (AI) technology, its potential to advance the learning process has become a major focus. This research focuses on the integration of AI-based educational tools to enhance student engagement and academic performance. Through experimental design with a control group, students were divided into two groups: one using AI tools while the other followed conventional methods. Students from various educational levels participated in this research. Data were collected through questionnaires and academic evaluations to compare the outcomes between the two groups. Data analysis was conducted using SmartPLS, enabling the evaluation of the impact of AI tools on student learning. The results indicate that AI integration enables a more personalized and responsive approach to the unique needs of students. It is expected that AI technology in education will bring significant changes in how students engage and achieve academic success. This research expands the understanding of the potential of AI in improving the education process. The integration of AI technology in learning is a progressive step toward a more adaptive and effective education system, preparing students for success in an increasingly connected and complex world
Optimizing Digital Marketing Strategies through Big Data and Machine Learning: Insights and Applications Andayani, Dwi; Madani, Muchlishina; Agustian, Harry; Septiani, Nanda; Wei Ming, LI
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.v1i2.29

Abstract

In the dynamic realm of digital marketing, the convergence of Big Data and machine learning has ushered in transformative changes, reshaping strategies through advanced data analytics and predictive modeling. This paper examines the pivotal role of these technologies in enhancing marketing practices, focusing on their impact on consumer targeting, engagement, and overall campaign effectiveness. By harnessing vast datasets and applying sophisticated machine learning algorithms, marketers can now predict consumer behavior with unprecedented accuracy, personalize marketing messages, and optimize operational strategies to maximize engagement and return on investment. Despite the profound advantages, the integration of these technologies raises substantial challenges, including data privacy concerns and the need for specialized skills. Through a mixed-methods approach combining quantitative data analysis and qualitative interviews, this study not only demonstrates the improved predictive accuracy and segmentation capabilities afforded by these technologies but also discusses the barriers to their full potential realization. The findings highlight a clear trajectory towards more data-driven, responsive marketing paradigms, suggesting a future where digital marketing strategies are increasingly informed by insights derived from Big Data and machine learning. This paper aims to provide a comprehensive overview of the current landscape and future potential of these transformative technologies in digital marketing.
Co-Authors AA Sudharmawan, AA Agustian, Harry Daeli, Ora Plane Maria Dolan, Ellen Dwi Andayani, Dwi Ekawati, Anita Erwin Prasetya Toepak Immaniar, Dewi Madani, Muchlishina Marviola Hardini Mirdad, Khaizure Mochamad Heru Riza Chakim Mulyati Nasution, Erni Juliana Al Hasanah Ninda Lutfiani Nur Azizah Pérez, Carlos Qurotul Aini rusilowati, umi Singh Bist , Ankur Sriliasta Bangun, Cicilia Supriyanti, Dedeh Tatik Mariyanti, Tatik Untung Rahardja Victorianda Wahyu Nugroho Wei Ming, LI Yusrawati Yusrawati Zainum Ikhsan, Ramzi Zarasky, Dwiki Zulkarnain, Andy