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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) 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: Teknologi untuk Masyarakat International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC) Journal of Digital Market and Digital Currency Journal of Current Research in Blockchain

Widjaja, Andree E.

Universitas Pelita Harapan

Author-ID : 2634356

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Harnessing the Power of Prophet Algorithm for Advanced Predictive Modeling of Grab Holdings Stock Prices Hery, Hery; Haryani, Calandra A.; Widjaja, Andree E.; Mitra, Aditya Rama
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.181

This study investigates the effectiveness of the Prophet algorithm in predicting Grab Holdings' stock prices dataset from Kaggle. By meticulously analyzing historical closing, high, low, and volume data, the research aims to uncover market patterns and gain insights into investor sentiment based on short-term forecasting. The findings reveal a dynamic trajectory for Grab Holdings' stock, characterized by significant fluctuations and evolving investor confidence. The stock reached a peak of $14 in early 2022, indicating optimism, but subsequently experienced a decline to $4 by late 2023, reflecting a shift in sentiment. Notably, 2023 witnessed heightened volatility compared to 2022, evident in more significant price swings and increased trading volume. The Prophet algorithm demonstrated promising potential for prediction better than traditional methods, which overlook the presence of seasonality or fail to adapt to evolving market conditions, leading to less accurate forecasts. The excellent performance of Prophet is indicated by a Mean Absolute Percentage Error (MAPE) of 10.45511%, a Mean Absolute Error (MAE) of 3.112026, and a Root Mean Squared Error (RMSE) of 3.516969. Compared to the traditional ARIMA, MAE and RMSE resulting from Prophet are much lower than their counterparts, which are 14.49675 and 16.079898, respectively. These widely used metrics suggest moderate accuracy in predicting future stock prices. This research offers valuable insights for investors that they can use to understand the trend of Grab Holdings' stock price and make more informed investment decisions regarding buying or selling opportunities. However, it is crucial to acknowledge the inherent limitations of such models and interpret results cautiously, considering the ever-changing dynamics of the financial market.

Automated Class Attendance Management System using Face Recognition: An Application of Viola-Jones Method Widjaja, Andree E; Harjono, Nathanael Joshua; Hery, Hery; Mitra, Aditya Rama; Haryani, Calandra Alencia
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.133

Over the past few years, face recognition has been widely used to help human activities in various sectors, including the education sector. By using facial recognition, the class attendance system at universities can be significantly improved. For example, students are no longer asked to sign attendance sheets manually, but attendance can be taken, recorded, and managed automatically through an integrated class attendance management system using facial recognition. The recorded data can then be further analysed to produce useful information for instructors and administrators. In turn, this arrangement will assist them in making decisions about matters relating to student attendance. The main objective of this research is to develop an automatic class attendance management system using facial recognition. In particular, the system we propose was developed using a prototyping software development approach and was modelled using UML version 2.0. As a choice of methods and tools, we used the Viola-Jones method as a face detection algorithm, Python and PHP as programming languages, OpenCV as the computer vision library, and MySQL as the DBMS. The results obtained from a number of black box tests carried out were a fully functional automatic class attendance system prototype using facial recognition.

Unsupervised Learning for MNIST with Exploratory Data Analysis for Digit Recognition Hery, Hery; Haryani, Calandra A.; Widjaja, Andree E.; Tarigan, Riswan E.; Aribowo, Arnold
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.184

This research investigates the application of unsupervised learning techniques for digit recognition using the MNIST dataset. Through a comparative analysis, various dimensionality reduction methods, including ISOmap, PCA, and tSNE, were evaluated for their effectiveness in visualizing and processing the MNIST data. The findings reveal that tSNE consistently outperforms ISOmap and PCA in terms of accuracy, F1- score, precision, and recall, showcasing its superior capability in preserving relevant information within the dataset. Utilizing tSNE for visualizing and clustering digits provides valuable insights into the underlying structure of the dataset, uncovering complex patterns in digit relationships. These results contribute to the advancement of digit recognition systems, offering potential improvements in classification accuracy and model reliability. The success of tSNE highlights the importance of nonlinear dimensionality reduction techniques in handling complex datasets, such as MNIST. This research underscores the significance of unsupervised learning approaches, particularly tSNE, in enhancing digit recognition systems' performance, with implications extending across various application domains. Continued research is recommended to explore further applications and potentials of unsupervised learning techniques and to deepen our understanding of the MNIST dataset's structure and complexity.

Text Mining Application With K-Means Clustering to Identify Sentiments and Popular Topics: A Case Study of The Three Largest Online Marketplaces in Indonesia Widjaja, Andree E; Fransisko, Andy; Haryani, Calandra Alencia; Hery, Hery
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.134

The number of internets and social media users, which continues to increase at a very fast rate, has resulted in the emergence of new business opportunities in Indonesia. One of those indications is the emergence of marketplace companies in Indonesia. The presence of these online marketplaces provides people with more online marketplace choices according to their preferences. One of the factors that became the basis for this election was reading comments or reviews from consumers on the marketplace posted on social media. This research was conducted using text mining method with k-means clustering algorithm to systematically identify the sentiments and topics that are widely discussed by online marketplace consumers in Indonesia. The data was processed by the k-means algorithm in the form of comments or reviews from three online marketplaces (Tokopedia, Shopee and Bukalapak) on Twitter. The amount of data for each marketplace referred to was 1500 data tweets. The results showed that the three online marketplaces were associated to different topics, even though they are in the same industry. These differences arise due to the fact that most consumers discuss the topics of programs held by their respective online marketplaces. The main topics related to Tokopedia are “belanja” (“shopping”) and “terimakasih” (“thank you”); while for Shopee “pilih” (“choose”) and “jongho”, and for Bukalapak “pra-kerja” (“pre-employment”). In addition, the sentiment analysis carried out shows that the sentiment of the three online marketplaces is predominantly neutral.

Model Manajemen Pemasaran Strategis Baru untuk Kekhususan E-Commerce dalam Rantai Pasokan Andree Emmanuel Widjaja; Yumna, Saidah; Azim Ashar
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 2 No 1 (2023): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v2i1.369

Studi ini bertujuan untuk menjawab pertanyaan mengenai arah dan strategi perusahaan dalam transformasi info-komunikasi saat ini. Melalui perbandingan antara e-commerce, mobile commerce, dan traditional commerce, studi ini menggunakan hasil penelitian primer non-representatif dengan analisis klaster dan analisis diskriminan. Model strategis baru telah dikembangkan berdasarkan empat klaster yang diamati, serta rekomendasi yang dapat diadopsi dan diimplementasikan oleh UKM dalam model bisnis mereka. Premis awal studi ini adalah bahwa komunikasi yang efektif harus ditujukan ke pasar yang tepat, dan paling tidak empat kelompok berbeda harus dibentuk. Temuan studi ini memberikan wawasan tentang bagaimana perusahaan dapat mengoptimalkan transformasi info-komunikasi untuk mencapai keberhasilan dalam lingkungan bisnis yang terus berubah. Dengan menerapkan strategi yang relevan dan disesuaikan dengan kebutuhan pasar, perusahaan dapat meningkatkan daya saing dan mencapai pertumbuhan yang berkelanjutan. Rekomendasi dari studi ini dapat menjadi panduan bagi UKM dalam menghadapi tantangan dan peluang di era transformasi info-komunikasi yang dinamis.

INNOVATIVE KNOWLEDGE MANAGEMENT STRATEGIES TRANSFORMING ORGANIZATIONAL SUCCESS Wijaya, Yoana Sonia; Haryani, Calandra A.; Hery, Hery; Widjaja, Andree E.; Tarigan, Riswan E.
Proceeding National Conference Business, Management, and Accounting (NCBMA) 7th National Conference Business, Management, and Accounting
Publisher : Faculty of Economics and Business Universitas Pelita Harapan

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In the current information technology era, knowledge management plays a critical role in the growth and success of enterprises. Knowledge management techniques are not used in the same manner as previously due to advancements in technology. Current knowledge management practices can benefit greatly from the application of emerging technological trends like web 2.0, social networks, wikis and blogs, discussion forums, and artificial intelligence. This will increase organizational performance and efficiency. The purpose of this study is to investigate the growing influence of knowledge management techniques on organizational effectiveness. This study examines earlier research on the subject of how organizational performance is impacted by emerging trends in knowledge management strategies. The literature review approach, or literature study from earlier research publications linked to this topic, was the research method used in this study. The research findings are presented in the form of a model, which suggests that increasing organizational performance and competitiveness is positively and significantly correlated with the introduction of new trends in knowledge management methods. Organizations can increase their performance and competitiveness in a market that is becoming more and more competitive by implementing effective knowledge management methods, according to the implications of this research.

PERANCANGAN SISTEM INFORMASI MANAJEMEN DAN REGISTRASI DATA WINISUDA BERBASIS WEB DAN MOBILE DI UNIVERSITAS PELITA HARAPAN Mouw, Christ Wibowo; Hery, Hery; Haryani, Calandra Alencia; Widjaja, Andree E.; Tarigan, Riswan E.
Proceeding National Conference Business, Management, and Accounting (NCBMA) 7th National Conference Business, Management, and Accounting
Publisher : Faculty of Economics and Business Universitas Pelita Harapan

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Sebagai Institusi Pendidikan, UPH melihat peranan teknologi sebagai aspek pendukung yang penting dalam melangsungkan aktivitas rutin proses pendidikan. UPH membutuhkan sistem informasi yang dapat mengelola informasi dengan baik dan efektif, disetiap departemen yang ada. Student Life merupakan salah satu departemen di UPH yang bertanggung jawab untuk setiap kegiatan kemahasiswaan yang berlangsung di UPH. Student Life memiliki 3 divisi yaitu Student Services, Student Stewardship, dan Spiritual Growth for Student. Divisi Student Stewardship memiliki bagian fokus nya masing-masing, salah satunya bertanggung jawab serta melangsungkan wisuda di UPH. Selama melaksanakan proses registrasi, panitia wisuda menggunakan Microsoft Excel untuk keperluan registrasi dan pengolahan data. Panitia wisuda perlu menyesuaikan data Microsoft Excel yang diberikan oleh ADAK untuk mendapatkan gambaran seberapa banyak data winisudawan yang akan diwisudakan. Sistem akan dirancang berbasis web untuk sisi admin dan mobile untuk sisi user. Hasil dari penelitian ini merupakan sistem yang berfungsi untuk mendukung proses kegiatan wisuda di Universitas Pelita Harapan secara efisien. Penelitian ini dibuat dengan tujuan untuk membantu proses sistem registrasi dan manajemen data winisuda bagi divisi Student Stewardship untuk menunjang perkembangan dari kegiatan wisuda di Universitas Pelita Harapan.

Design of E-Procurement System In CV. W3 INDONESIA Prasetya, Kusno; Hery, Hery; Widjaja, Andree E; Suryasari, Suryasari
Jurnal Pekommas Vol 5 No 2 (2020): October 2020
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v5i2.2043

This research is a part of the implementation of e-procurement in CV. W3 Indonesia. The procurement was done conventionally using paper forms which were filled and submitted to the supervisor to get approval. After that, the purchasing department would purchase the items ordered. The design and implementation of this e-procurement resulted a system that is able to improve efficiency procurement processes time, and reduce operational costs by eliminating paper that was originally used as a medium for communication and verification.

Penerapan Teknologi Qr Code Berbasis Web pada Sistem Manajemen Inventaris di Gudang PT XYZ Hery; Renaldo Luih, Joshua; Alencia Haryani, Calandra; E. Widjaja, Andree
Technomedia Journal Vol 7 No 2 October (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

At this time the use of technology is very important to support a company's business processes so that companies can gain a competitive advantage. PT Happy Bangunnusa is a company that wants to apply technology in running its business. PT Happy Bangunnusa is a company engaged in the construction sector with a focus on community development and irrigation. Currently, PT Bahagia Bangunnusa is still manually managing the goods it owns, so that it sees the risk of errors in recording the entry and exit of goods. To be able to manage the goods owned by PT Bahagia Bangunnusa, an inventory management system is needed by applying QR Code technology which can facilitate the process of collecting data on the goods owned. Therefore, the research carried out is the application of web-based QR Code technology to the inventory management system at the PT Bahagia Bangunnusa warehouse. The results of the application of web-based QR Code technology on the inventory management system at the PT Bahagia Bangunnusa warehouse can increase the effectiveness of the business processes carried out and assist in the management of goods owned by PT Bahagia Bangunnusa.

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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 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 Eric Jobiliong Feliks Victor Parningotan Samosir Ferdinand, Ferry Vincenttius 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 Willy Darmawan Yumna, Saidah ‪Alfa Satya Putra

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