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All Journal International Journal of Advances in Applied Sciences Jurnal Simetris Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Computatio : Journal of Computer Science and Information Systems Jurnal Informatika Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Teknoinfo INTECOMS: Journal of Information Technology and Computer Science JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information Jurnal AbdiMas Nusa Mandiri Journal of Business and Audit Information System (JBASE) Jurnal Pengabdian dan Kewirausahaan Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sains dan Teknologi Nuansa Informatika
Francka Sakti Lee
Universitas Bunda Mulia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Rancang Bangun Aplikasi Member Parkir Terintegrasi dengan Kartu Tanda Mahasiswa Andry, Johanes Fernandes; Lee, Francka Sakti; Geasela, Yemima Monica; Kamila, Ahya Radiatul; Meyliana, Sintia; Winata, Samuel
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Desember 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i2.10129

Abstract

Dalam konteks universitas, teknologi smart card sering kali digunakan sebagai metode autentikasi di gerbang parkir, dengan tujuan meningkatkan efisiensi dan efektivitas. Penelitian ini berfokus pada pengembangan aplikasi dan sistem kartu member parkir yang terintegrasi dengan Kartu Tanda Mahasiswa (KTM) menggunakan metode Waterfall. Tujuan utama penelitian ini adalah untuk memfasilitasi akses parkir di kampus melalui aplikasi desktop yang terhubung dengan KTM, sehingga mahasiswa dapat dengan mudah mengelola keanggotaan parkir mereka. Hasil perancangan menunjukkan bahwa sistem ini memberikan berbagai manfaat, termasuk kemudahan dalam verifikasi identitas mahasiswa, otomatisasi proses parkir, serta optimasi sumber daya kampus. Dengan menggunakan metode Waterfall, penelitian ini memberikan solusi terstruktur dalam pengembangan aplikasi, mulai dari analisis kebutuhan hingga pengujian, yang secara signifikan meningkatkan efisiensi pengelolaan parkir di kampus. Penelitian ini berkontribusi pada pengembangan teknologi integrasi sistem di lingkungan kampus dan membuka wawasan baru tentang implementasi teknologi untuk meningkatkan layanan kampus.
Information system architecture for healthcare company based on TOGAF Christy, Vania; Andry, Johanes Fernandes; Kamila, Ahya Radiatul; Lee, Francka Sakti
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp806-813

Abstract

In 2020 COVID-19 cases have entered Indonesia causing public health problems and millions of deaths. To prevent transmission of COVID-19, an air purifier is needed whose function is to remove small droplets that can carry the virus. One of them is a medical device company located in Jakarta. The purpose of this research is to produce a design that can improve business processes in the health sector and achieve company goals. The current business process is not very optimal because it is still done conventionally and the existing system has not been integrated with other divisions. To achieve business goals, it is necessary to integrate business processes with information technology (IT) and technology development that will be proposed based on the design of information system architecture that will produce a blueprint and assisted by the open group architecture framework (TOGAF) framework which is very helpful in the process of analyzing company needs. In this research, data collection through interviews with directors and direct observation of health service companies. The results of this study are recommendations given to help health.
APLIKASI INFORMASI UKM PADA UNIVERSITAS DI JAKARTA UTARA Christianto, Kevin; Budiyantara, Agus; Lee, Francka Sakti; Andry, Johanes Fernandes; Bernanda, Devi Yurisca; Ananda, Deah
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.341

Abstract

Limited access to information about Student Activity Unit (UKM) activities and achievements is often an obstacle for students, especially new students, to be actively involved in campus activities. This study aims to develop an UKM Information Application to provide an integrated platform that makes it easier for students at universities in North Jakarta to access UKM information. This application is designed using the Scrum method, with iterative stages that include user needs analysis, development of key features such as delivery of activity information, event notifications, and documentation of UKM achievements, and evaluation through sprint reviews. The use of this application is expected to increase information transparency, facilitate communication between members, and encourage student participation in UKM activities. The results of the study are in the form of a digital-based information application that can strengthen UKM management and communication effectively and efficiently, supporting the modernization of information systems in higher education.
PENINGKATAN PERFORMA MODEL MACHINE LEARNING UNTUK DETEKSI DINI POLYCYSTIC OVARY SYNDROME MELALUI KOMBINASI METODE PREPROCESSING Kamila, Ahya Radiatul; Lee, Francka Sakti; Andry, Johanes Fernandes
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.448

Abstract

Polycystic Ovary Syndrome (PCOS) is one of the most common hormonal disorders experienced by women of reproductive age and can lead to various health problems, including menstrual irregularities, infertility, and an increased risk of metabolic diseases. Early detection of PCOS is essential to minimize long-term impacts and improve the quality of life for patients. This study aims to identify effective data preprocessing strategies to enhance the performance of classification models for PCOS detection. The dataset used is open source, consisting of 541 participants with 45 clinical and laboratory features. The main challenges encountered include the presence of many missing values, an imbalanced target class distribution, and a large number of independent features. To address these issues, a series of preprocessing steps were applied, including missing value imputation, data balancing using the Synthetic Minority Over-sampling Technique (SMOTE), and dimensionality reduction using Principal Component Analysis (PCA). A classification model was built using the Random Forest algorithm, and its performance was compared before and after applying PCA. The evaluation results show that before PCA, the model achieved an accuracy of 87.5%, precision of 86%, recall of 86%, and an F1-score of 86%. After applying PCA, performance improved to an accuracy of 90%, precision of 89%, recall of 89%, and an F1-score of 89%. These findings indicate that the right combination of preprocessing strategies, particularly SMOTE and PCA, can significantly improve the efficiency and effectiveness of models in detecting PCOS, thereby supporting the development of more reliable medical decision support systems.
RANCANG BANGUN APLIKASI INVENTORI DENGAN METODE PULL INVENTORY PADA PERUSAHAAN PERANGKAT JARINGAN Nicholas, Martinez; Lee, Francka Sakti
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.564

Abstract

A network equipment company specializing in the provision of switches and servers still faces challenges in stock management because the recording of outgoing goods and inventory withdrawal transactions is still done manually using notebooks and Excel. This condition causes problems such as delays in data updates, difficulties in monitoring stock availability in real time, and the risk of discrepancies between data and conditions in the warehouse. The objective of this research is to design and implement a web-based inventory application using a pull inventory approach, where stock is recorded only upon actual demand from projects or customers. This strategy helps reduce the likelihood of overstocking or understocking. Based on testing results, the developed application can support the recording of outgoing goods, provide real-time availability information, and generate useful reports for management, thereby supporting the efficiency, accuracy, and integration of the company's business processes.
PENGEMBANGAN APLIKASI REMINDER ONLINE PAYMENT KOST BERBASIS MOBILE Geasela, Yemima Monica; Christianto, Kevin; Lee, Francka Sakti; Doa, Fidelia Novena; Putri, Angie Wiyani
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.571

Abstract

The advancement of mobile technology provides opportunities for digital transformation in small-scale property businesses, including boarding house (kost) management. This research focuses on developing a Mobile-Based Reminder Online Payment Application for Kost using the Mobile Application Development Life Cycle (MADLC) method. The application is designed to automate payment processes through a virtual account system and provide real-time reminder notifications for both tenants and owners.The development stages included requirement identification, system design using UML diagrams, database structuring with MySQL, and interface implementation. The testing process employed User Acceptance Testing (UAT) to validate system functionality and user satisfaction. The results show that users successfully received automatic payment notifications based on the configured due dates, and all online payment transactions were accurately recorded in the system database without errors. This study concludes that the MADLC approach effectively supports the structured development of mobile applications for digital payment and reminder management in boarding houses. The UAT results confirm that the application meets user expectations in terms of functionality, ease of use, and transaction accuracy.
Co-Authors ., Ozmar Agustina, Agustina Alvaro, Giovanni Ananda, Deah Ananda, Vincent Ray Andrian, Andrian Andrian, Kelvin Andry, Johanes Fernandes Anwar, Sahrul Aprilia, Keysia Arron, Rivaltino Arvin, Bryan Aryani, Dini Ayu Azhari, Ozmar Bernadus Gunawan Sudarsono Bernanda, Devi Yurisca Brainard, Aryo Breliastiti, Ririn Budiyantara, Agus Charolina, Yanthi Charolina, Yanthi - Christianto, Kevin Christy, Vania Cornelius, Wilson Delly Vera Deny, Deny Derhass, Gerry Hudera Dinata, David Freggy Doa, Fidelia Novena Dylen, Varel Eko Ariawan Endi Putro Felicia, Jennifer Fenardi, Okky Fernando, Lukas Fernando, William Geasela, Yemima Monica Geasela, Yemima Monica Ginting, Jusia Amanda Ginting, Mega Henia Br Heber, William Hendy Tannady Honni Honni Honni, Honni Honni, Honni Huang, Calvin Ignatius Adrian Mastan Isputrawan, M Fauzi Isputrawan, M. Fauzi Johanes Fernandes Andry Kamila, Ahya Radiatul Kevin Christianto KEZIA, KEZIA Lesmana, Kenvil Limawal, Isabelle Ivana Marco Antonio Narahaba Marvelino, Matthew Matthew, Randy Meyliana, Sintia Michael Pranata Monica Clara Mulyo, Jonathan Riady Nababan, Andika Jakaria Nadia Karepowan Nicholas, Martinez Nurken, Brian Prasnavira Nurprihatin, Filscha Onggo, Kallista Angelia Owen, Bryan Paramita Rosadi Piter, Dicsi Purnomo, Yunianto Putra, Rakassiwi Ayudharma Putri, Angie Wiyani Rabbani, Deswin Auliyaa Rahman, Muhammad Ryo Reynaldi Ekklesia Rudi, Ardian Brian Pratama Samuel Winata Santoso, Andi Putra Setiawan, Selly Shiang Lung Felix Stevanus Stevanus Steven Steven Sudarsono, Bernandus Gunawan Sulaeman, Asvian Suryantara, I Gusti Ngurah Tampinongkol, Felliks F Tampinongkol, Felliks F. Tannady, Hendy Teady Matius Surya Mulyana, Teady Matius Verawaty Verawaty Wandy Wandy Wiedjaya, Handry Wijaya, Agustinus Frits Wijaya, Hermawan William Darma Wincent, Wincent Witari, Putu Sita Witari, Putu Sita Yusup, Christian Ronaldo