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All Journal International Journal of Advances in Applied Sciences Prosiding SNATIF Jurnal Pekommas INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Ilmiah Matrik Journal Information System Development International Journal of New Media Technology Technomedia Journal Jurnal ULTIMA InfoSys Jurnal ULTIMATICS IKRA-ITH ABDIMAS SENSITEK Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ilmiah Teknik Informatika (TEKINFO) Jurnal Sains dan Teknologi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi GIAT: Jurnal Teknologi untuk Masyarakat International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC) Journal of Digital Market and Digital Currency

Widjaja, Andree E.

Universitas Pelita Harapan

Author-ID : 2634356

Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pengembangan Aplikasi Manajemen Rekrutmen Karyawan Menggunakan Metode Profile Matching Hery, Hery; Christopher, Raphael; Widjaja, Andree E.; Suryasari, Suryasari
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 1 (2019): Vol. 3 No. 1 Februari 2019
Publisher : Universitas Nusantara PGRI Kediri

Human Resources (HR) is one of the important aspects in the company, because it will manage many aspects such as technology, resources, and capital, therefore the process of hiring and allocating training is important in the company. Human Resource Departement (HRD) is responsible for recruiting new employees and developing training programs to equip employees or prospective employees. The Recruitment process consist of three steps: CV gathering, psychotest work, and interview). In PT. XYZ recruitment process is done manually,Therefore an application is required that can support the decision-making process in the employee recruitment process that can analyze the appropriate training for prospective employees. Employee recruitment applications development and allocation of employee training using the System Development Life Cycle (SDLC) system development methodology. For employee training allocation system with profile matching method. The Final result from this research is an application that could support HRD in recruitment process and training allocation.

The Office Room Security System Using Face Recognition Based on Viola-Jones Algorithm and RBFN E. Widjaja, Andree; Hery, Hery; Habsara Hareva, David
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

The university as an educational institution can apply technology in the campus environment. Currently, the security system for office space that is integrated with digital data has been somewhat limited. The main problem is that office space security items are not guaranteed as there might be outsiders who can enter the office. Therefore, this study aims to develop a system using biometric (face) recognition based on Viola-Jones and Radial Basis Function Network (RBFN) algorithm to ensure office room security. Based on the results, the system developed shows that object detection can work well with an object detection rate of 80%. This system has a pretty good accuracy because the object matching success is 73% of the object detected. The final result obtained from this study is a prototype development for office security using face recognition features that are useful to improve safety and comfort for occupants of office space (due to the availability of access rights) so that not everyone can enter the office.

Factors Influencing Customer Purchase Decisions in AI-Driven Online Shopping: Systematic Review Arnold Aribowo; Hery Hery; Andree Emmanuel Widjaja; Calandra Alencia Haryani
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 6 No. 1 (2026): April 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v6i1.7476

This paper offers a PRISMA-guided systematic literature review to examine how Artificial Intelligence (AI) is applied in e-commerce. The focus is on identifying key factors that influence customer purchasing decisions in AI-driven online transactions. It examines Information Systems (IS) theories relevant to the integration of AI and e-commerce, offering insights into frameworks used to analyze the relationship between AI and consumer behavior. Additionally, the paper identifies gaps in current research and provides recommendations for future studies, particularly in areas requiring further exploration to understand the evolving impact of AI on e-commerce. Through a review of existing literature, the study identifies critical factors such as perceived enjoyment, perceived usefulness, perceived ease of use, interactivity, consumer engagement, AI technology, and information quality, which significantly affect consumer purchase intentions. This review finds that Stimulus-Organism-Response (SOR) and Technology Acceptance Model (TAM) are the most commonly adopted theories, while Media Richness Theory is used less frequently. The findings provide a robust foundation for future research, enabling the formulation of empirically testable hypotheses. Furthermore, this study offers a more integrated perspective by organizing identified constructs into a multi-dimensional framework and suggests directions for future empirical research, such as developing research models and validating them through survey-based approaches and Structural Equation Modeling (SEM-PLS), as well as qualitative methods. The study aims to offer insights to AI developers and e-commerce practitioners, helping them enhance AI-powered systems to better meet consumer needs and expectations, ultimately improving customer satisfaction and increasing purchase rates.

Cognitive and Technological Factors Shaping Students’ Sustained Use of ChatGPT in Higher Education Arnold Aribowo; Hery Hery; Andree Emmanuel Widjaja
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1291

This study examines the cognitive and technological factors shaping students' sustained use of ChatGPT in Indonesian higher education. Despite the rapid adoption of generative Artificial Intelligence (AI) in education, a clear understanding of the factors sustaining continued engagement with such systems remains limited. While continuance intention has been widely examined, the application of the Expectation–Confirmation Model (ECM) in generative AI contexts remains underexplored. This gap is especially evident when considering the role of AI-specific system attributes in shaping post-adoption evaluations. Although ECM has been extended with various constructs in prior studies, the specific integration of AI characteristics, particularly perceived intelligence and anthropomorphism, has not been explored in generative AI use in education, especially within Indonesian higher education. To address this gap, a multi-theoretic framework integrating ECM and AI characteristics was developed. Data from 322 Indonesian students were analyzed using Partial Least Squares-Structural Equation Modeling. All ten hypotheses were supported, and the model explains 43.3% of the variance in continuance intention (R² = 0.433). Perceived Intelligence strongly influences Perceived Anthropomorphism with a path coefficient of 0.591, representing the strongest relationship in the model, while other paths demonstrate moderate or modest effects. The findings confirm ECM's robustness in generative AI settings and highlight the pivotal role of AI characteristics in shaping post-adoption evaluations and sustained use. These results contribute to the growing body of research on generative AI adoption in education by demonstrating how system intelligence and human-like interaction jointly influence continuance intention. The findings also offer practical guidance for AI developers to enhance system intelligence and natural interaction. Future research could explore how students experience AI over time and what shapes their sustained use using different research methods.

Pengembangan Sistem Dashboard Analitik untuk Penguatan Sistem Manajemen Risiko dari Capaian IKU-IKT di Institusi Pendidikan Tinggi Hery; Jamesdry; Calandra Alencia Haryani; Andree E. Widjaja; Eric Jobiliong
IKRA-ITH ABDIMAS Vol. 9 No. 3 (2025): Jurnal IKRAITH-ABDIMAS Vol 9 No 3 November 2025
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikra-ithabdimas.v9i3.5621

Peningkatan mutu pendidikan melalui sistem manajemen mutu internal yang terstruktur merupakankomitmen penting dalam institusi pendidikan tinggi. Lembaga Penjaminan Mutu (LPM)bertanggung jawab dalam pelaksanaan, evaluasi, dan pengembangan Sistem Penjaminan MutuInternal (SPMI). Namun, proses pencatatan dan pelaporan yang masih dilakukan secara manualmenggunakan dokumen Word dan spreadsheet mengakibatkan inefisiensi, potensi duplikasi data,serta risiko kesalahan input. Dengan meningkatnya volume data akibat bertambahnya program studi,menyebabkan LPM menghadapi tantangan dalam pengelolaan data yang tidak terintegrasi. Olehkarena itu kegiatan pengabdian pada masyarakat ini bertujuan mengembangkan sistem dashboardanalitik berbasis web untuk digitalisasi manajemen mutu dan pengelolaan risiko dalampencapaian Indikator Kinerja Utama (IKU) dan Indikator Kinerja Tambahan (IKT) di InstitusiPendidikan Tinggi. Sistem ini akan menyatukan data dari berbagai unit, pengumpulan, penyimpanan,dan visualisasi data secara real-time, serta dilengkapi dengan fitur analitik untuk mengidentifikasikinerja. Dengan adanya sistem ini dapat mengurangi ketergantungan pada pelaporan manual,meningkatkan kecepatan dan akurasi akses data, serta mendukung pengelolaan risiko berbasis indikatorkinerja. Proyek ini mendukung agenda transformasi digital pendidikan tinggi dan berkontribusi padapencapaian SDG 4 (Pendidikan Berkualitas). Hasil dari proyek ini diharapkan dapat menjadi solusiinovatif yang dapat diterapkan di institusi pendidikan tinggi lain dalam memperkuat tata kelolamutu dan manajemen risiko.Kata kunci: manajemen mutu, digitalisasi, LPM, analitik, pengelolaan risiko.

Perancangan Sistem Informasi Persediaan, Penjualan & Pembelian Barang pada PT.XYZ Berbasis Web Ellyse Obe Johanis; Hery Hery; Eric Jobiliong; Calandra A. Haryani; Andree E. Widjaja
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 6 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i6.6638

In today's digital era, internet technology plays a vital role in the business sector, enabling companies to grow more rapidly and adapt to market demands. The integration of information technology has transformed business operations, as evidenced by the increasing number of large enterprises adopting such technologies. One of the main advantages is the ability to conduct online transactions, allowing customer to make purchases without queuing and enabling employees to work more efficiently. Consequently, transaction processes become faster and more convenient, while also expanding the company’s customer base and increasing profitability. This study presents the development of an information system using the prototyping methodology. The proposed system is built using PHP programming language and the CodeIgniter framework. The system design includes use case diagrams, activity diagrams, class diagrams, and entity relationship diagrams. The implemented information system aims to optimize the purchasing and sales processes at PT. XYZ, enhancing overall business efficiency and supporting strategic decision-making. The final outcome of this research is a web-based application that facilitates and streamlines product sales and purchases within the company.

Pengenalan dan Pelatihan Dasar Algoritma Pemograman Menggunakan Aplikasi Thunkable Bagi Siswa SD St. Theresia Jakarta Andree E. Widjaja; Kusno Prasetya; ‪Alfa Satya Putra; Calandra Alencia Haryani; Hery; Irene Eka Sri Saraswati
GIAT Teknologi untuk Masyarakat Vol. 1 No. 1 (2022): Mei 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v1i1.5851

Pengenalan dasar algoritma pemograman akan jauh lebih baik jika dilakukan sejak dini, misalnya dimulai semenjak sekolah dasar. Namun, bagi kebanyakan orang, algoritma dan pemrograman dianggap sebagai pelajaran yang sulit dan membosankan, sehingga diperlukan suatu metode khusus yang membuat anak-anak menjadi tertarik. Salah satu metode yang dapat digunakan adalah dengan menggunakan aplikasi Thunkable, di mana anak-anak dapat mempelajari dasar algoritma pemrograman secara visual, interaktif, dan kolaboratif. Meskipun pengenalan algoritma pemrograman penting dan sudah ada metode pembelajaran yang sesuai dengan menggunakan Thunkable, tidak banyak sekolah yang paham mengenai hal tersebut. artikel ini bertujuan untuk melaporkan kegiatan pengabdian kepada masyarakat terkait pengenalan dan pelatihan dasar algoritma pemrograman menggunakan Thunkable bagi siswa SD St. Theresia Jakarta. Pelatihan ini dilakukan secara daring melalui Zoom meeting. Setelah mengikuti pelatihan ini, para peserta diharapkan dapat meningkatkan kemampuan berpikir secara kreatif, logis, dan sistematis melalui pelatihan algoritma pemrograman

Pengembangan dan Pelatihan Sistem Informasi Persediaan Bahan Baku di PT Maju Bersama Persada Dayamu (MBPD) Calandra Alencia Haryani; Debora Kathrin Yuwono; Hery; Andree E. Widjaja; Arnold Aribowo; Aditya R. Mitra
GIAT Teknologi untuk Masyarakat Vol. 1 No. 1 (2022): Mei 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v1i1.5852

PT Maju Bersama Persada Dayamu merupakan salah satu perusahaan pada bidang manufaktur. Proses produksi merupakan proses penting dalam bidang manufaktur. Sistem informasi persediaan bahan baku dapat membantu proses produksi berjalan dengan baik. Tujuan dari penelitian dan kegiatan Pengabdian Kepada Masyarakat ini adalah mengembangan sistem informasi persediaan bahan baku untuk membantu menyelesaikan kendala penyediaan bahan baku PT Maju Bersama Persada Dayamu saat ini yang masih bersifat manual dengan menggunakan Microsoft Excel dan kartu bahan baku. Hal ini mengakibatkan data-data tidak terintegrasi pada semua departemen, sehingga informasi ketersediaan dan pengelolaan bahan baku belum sepenuhnya akurat. Sistem ini dikembangkan menggunakan metode prototyping, bahasa pemrograman PHP dan framework CodeIgniter. Pemodelan sistem dibuat menggunakan notasi UML. Selain mengembnagkan sistem, pengujian dan pelatihan penggunaan sistem juga dilakukan untuk memastikan sistem yang dihasilkan sudah sesuai dengan kebutuhan dan membantu efektivitas proses persediaan barang PT Maju Bersama Persada Dayamu.

Pengembangan dan Penelitian Sistem Informasi Manajemen Produksi (Mitra: PT. Maju Bersama Persada Dayamu (MBPD) Tangerang) Hery; Amelia Magdalena Kaheja; Calandra Alencia Haryani; Andree E. Widjaja
GIAT Teknologi untuk Masyarakat Vol. 1 No. 1 (2022): Mei 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v1i1.5855

Sistem informasi manajemen produksi dapat digunakan untuk membantu serta meningkatkan kualitas manajemen produksi pada sebuah perusahaan manufaktur agar semua proses produksi yang dilakukan dapat menjadi lebih optimal. Tujuan dari penelitian dan PkM ini yaitu mengembangkan sistem informasi manajemen produksi untuk PT. Maju Bersama Persada Dayamu (MBPD) Tangerang serta memberikan pelatihan kepada pihak PT. Maju Bersama Persada Dayamu (MBPD). Sebelumnya, manajemen produksi yang dilakukan oleh PT. MBPD masih bersifat manual, misalnya proses produksi dicatat dengan menggunakan kertas, serta tidak adanya sistem yang terintegrasi secara baik pada bagian produksi. Hal ini menyebabkan beberapa masalah, seperti ketidakakuratan pencatatan dan analisis data yang tentunya dapat mengganggu proses kelancaran kegiatan produksi perusahaan. Sistem yang diusulkan ini diharapkan dapat mendukung PT. MBPD dalam meningkatkan kualitas manajemen dan proses produksinya. Selain mengembangkan dan menyerahkan sistem usulan kepada PT. MBPD, kegiatan pelatihan kepada user terkait cara penggunaan sistem yang dibuat. Pelatihan ini ditargetkan kepada karyawan produksi, manajer produksi, maupun direktur PT. MBPD.

Pengembangan Sistem Informasi Alumni Terintegrasi Menggunakan Teknologi Artificial Intelligence (AI) di Institusi Pendidikan Tinggi William Evan Bunyamin; Calandra Alencia Haryani; Andree E. Widjaja; Ferry Vincentius Ferdinand; Brian Alvin Hananto; Hery
Jurnal Ilmiah Teknik Informatika (TEKINFO) Vol. 27 No. 1 (2026): TEKINFO Vol 27 No 1 April 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Currently, the Universitas Pelita Harapan Alumni Association (IKA UPH) faces data integration challenges dueto the absence of a centralized system. This study aims to design and develop an integrated alumni informationsystem using artificial intelligence (AI) technology in a higher education institution. The system developmentprocess utilizes the Rapid Application Development (RAD) methodology, leveraging the Laravel framework,MySQL database, and the integration of the Google Gemini 2.0 Flash API to support an AI chatbot feature. Thisinformation system features several core functionalities, including a job vacancy portal, event management,membership tracking, news updates, and an AI-based virtual assistant. To ensure system validity, testing wasconducted using the black-box method, the results of which indicate that all functional requirements for varioususer roles have been successfully met. Through the implementation of this platform, it is expected that alumnidata governance will become more structured, synergy and collaboration among alumni will enhance, andaccess to professional career opportunities will be wider for all community members.

Co-Authors Alencia Haryani, Calandra Alvira Putri Yudini Alya M. Amalia Amalia, Alya M. Amelia Magdalena Kaheja Amelinda Chendra Arnold Aribowo Arnold Aribowo Arnon M Sugiarto Azim Ashar Brian Alvin Hananto Calandra A. Haryani Calandra A. Haryani Calandra Alencia Haryani Calandra Alencia Haryani Carolyn Feiby Supit Christian Marsel Wijaya2 Christopher, Raphael Debora Kathrin Yuwono Debora Margareta Efendi Tarigan, Riswan Ellyse Obe Johanis Eric Jobiliong Feliks Victor Parningotan Samosir Ferdinand, Ferry Vincenttius Ferry Vincentius Ferdinand Filbert Chan Fransisko, Andy Gabrielle Florencia Gennady, Erick Goestjahjanti, Francisca Sestri Habsara Hareva, David Harjono, Nathanael Joshua Haryani, Calandra A. Haryani, Calandra Alencia Hery Hery Hery Hery Hery Hery Hery Hery Hery Hery Juan Situmorang Hikam, Ihsan Nuril Husni Teja Sukmana Irene Eka Sri Saraswati Jamesdry Jefrin Laia Joshua Nathanael Justin A. Haratua Karnawi Kamar, Karnawi Kristina G. Simanjuntak Kusno Prasetya Kusno Prasetya Laurentia Anggun P Lisia, Vanella Maya Avinda Mayumi Utama Michelle Angelica Mitra, Aditya R. Mouw, Christ Wibowo Mulyati Mulyati Nathalie, Julia Nathanael, Joshua Prasetya, Kusno Renaldi, Ary Renaldo Luih, Joshua Ririn Ikana Desanti Riswan E Tarigan Riswan E. Tarigan Riswan E. Tarigan Riswan Efendi Tarigan Rosanna, Nadya Sugiarto, Arnon M Supriyanti, Dedeh Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Suryasari Tania Jovita Wibowo Tarigan, Riswan E. Vanella Lisia Veronica, Winnie Vincent Cahyadi Vivi Melinda Wijaya, Yoana Sonia William Evan Bunyamin Willy Darmawan Yumna, Saidah ‪Alfa Satya Putra

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