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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences JURNAL SISTEM INFORMASI JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Prosiding Semnastek Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnas Nasional Teknologi dan Sistem Informasi POSITIF Journal of Information Systems Engineering and Business Intelligence CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information System E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Informatika Jurnal Ilmiah FIFO Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Prosiding Seminar Nasional Teknoka IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of New Media Technology Jurnal Teknoinfo JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Technomedia Journal INTECOMS: Journal of Information Technology and Computer Science Jurnal ULTIMA InfoSys Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Business Management Journal Program Studi Manajemen JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information Narada : Jurnal Desain dan Seni Jurnal AbdiMas Nusa Mandiri Journal of Business and Audit Information System (JBASE) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Kalbiscientia Jurnal Sains dan Teknologi Jurnal Pengabdian dan Kewirausahaan IICS Journal of Technology and Informatics (JoTI) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sains dan Teknologi Innovative: Journal Of Social Science Research Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Pengabdian Masyarakat Singa Podium (JPMSIPO) Nuansa Informatika Bulletin of Social Informatics Theory and Application Journal of Information System, Technology and Engineering Jurnal Informatika: Jurnal Pengembangan IT International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Johanes Fernandes Andry
Sistem Informasi, 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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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.
ANALISIS DAN EVALUASI MANAJEMEN RITEL BERDASARKAN KERANGKA KERJA COBIT 5 Bernanda, Devi Yurisca; 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.v11i2.569

Abstract

Many retail stores still face challenges in data management, services, and risk control, impacting operational effectiveness and competitiveness. The COBIT 5 framework offers a comprehensive approach to assessing, controlling, and improving information technology governance to align with business objectives. The application of COBIT 5 in the retail sector is relatively rare, despite the fact that this sector has different operational dynamics than other industries. Therefore, this study focuses on the analysis and evaluation of retail management using the COBIT 5 framework to identify the level of governance maturity and provide applicable improvement recommendations. The research method stages include: (a) literature review on COBIT 5 and IT governance practices in the retail industry; (b) identification of COBIT 5 domains relevant to the retail management context; (c) data collection through interviews, observations, and questionnaires with retail management and staff; (d) maturity level analysis based on the COBIT 5 framework; and (e) preparation of recommendations for improving retail management based on IT governance. The retail management evaluation in this study uses the COBIT 5 framework that focuses on the Align, Plan, and Organize (APO) domains, namely APO11 Manage Quality and APO12 Manage Risk. The assessment of the APO11 and APO12 capability levels was conducted to evaluate the implementation of quality management in the division. The results of the quality management measurement in this division reached level 2 (Manage Processes). Recommendations have been compiled that can be implemented by this division so that the APO11 and APO12 capability levels reach the desired level, namely level 3 (defined process), so that they can support the company's business processes in terms of information technology.
The Alignment of Business Process In Event Organizer And Enterprise Architecture Using TOGAF Margaretha - Mei Mei; Johanes Fernandes Andry
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 17, No. 1, Januari 2019
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v17i1.a734

Abstract

Event organizer is a company which engaged in event organizing, PR, and advertising. A suitable information systems that fit company's business needs are required so the company can adapt themselves in this globalization era. Information systems had an important role in order to support the company’s business process and its performance. An example of applied information systems that have been widely used by companies is enterprise architecture. Currently, enterprise architecture has been used by many enterprises to be able connect between the planning and the technology implementation to the current business in the company. Enterprise Architecture Planning (EAP) is a method in enterprise architecture which can provides alignment between business and information technology by defining company’s needs. Main components of EAP are data architecture, applications, and technology. The framework that will be used to develop EAP on this research is TOGAF ADM with phases starting from preliminary phase, requirements management, architecture vision, business architecture, information systems architectures, technology architecture, opportunities & solutions, and migration planning. A result on this research will be a blueprint of enterprise architecture model that an event organizer can use in supporting its business. The blueprint contains the current used information systems and the ideal information systems planned by the authors.
Aplikasi Absensi Berbasis Android Pada Sekolah Boarding Sebagai Transformasi Digital Bidang Pendidikan Ahya Radiatul Kamila; Gerry Hudera Derhass; Deswin Auliyaa Rabbani; Johanes Fernandes Andry; Francka Sakti Lee
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.155

Abstract

Boarding schools require students and staff to reside on campus for a set period, necessitating high levels of security and comfort to optimize educational outcomes through effective human resource management. Managing staff and student attendance is crucial in these settings, exemplified by the manual attendance system at Insan Cendikia Magnet School in Bogor. However, manual systems often suffer from inefficiencies, inaccuracies leading to data errors, fraud, and real-time monitoring challenges. To address these issues, this study developed a digital attendance system using FlutterFlow, employing barcode scanning for both academic and non-academic staff. Implementation of this system improved digital attendance processes, with testing confirming its reliable performance. The system effectively met user needs and conditions, integrating attendance data with real-time reporting features. These accessible reports facilitate evaluation and decision-making regarding staff attendance.
Predictive Maintenance of Heavy Equipment Machines using Neural Network Based on Operational Data Ahya Radiatul Kamila; Derhass, Gerry Hudera; Andry, Johanes Fernandes; Lee, Francka Sakti; Budiyanto, Very; Anatasia, Velly
CogITo Smart Journal Vol. 11 No. 2 (2025): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v11i2.555.229-241

Abstract

Preventive maintenance is a routine maintenance strategy that aims to maximize equipment life cycle and prevent unplanned downtime which causes increased repair costs. When carrying out this maintenance, error in selecting machines need to be anticipated to avoid company losses. This research aims to reduce human error in machine selection for preventive maintenance using deep learning. The dataset used in this research is operational data of heavy equipment machine dataset from one of the palm oil companies in Indonesia with 9 independent features and 1 dependent feature. Dependent feature is a target feature contain two target classes representing effective and ineffective machines. The dataset in this study contains outlier, feature scales that are very different, and imbalanced data class. To handle outlier and standardise data scale, the Z-score method is used. Meanwhile, the over sampling method is used to handle imbalanced data classes. To obtain the best model performance, the number of epochs and two types of optimizers (adam&adamax) of neural network are selected. In selecting the number of epochs, experiments were carried out using 100 epochs. This research obtained the linearity relationship between the number of epochs and accuracy with the accuracy values using Adam and Adamax optimizers were 94.82% and 93.11% at the 100th epoch.
Co-Authors ., Deny Adam Christian Claudio Adam Surya Wijaya Agus Budiyantara Agustina Andriani Agustina Andriani Agustinus Adi Prawoto Ahya Radiatul Kamila Ahya Radiatul Kamila Albert Yohanes Albert Yohanes Alexandre, Jonathan Alvin Alvin Alvin Saputra Tandiono Ananda, Deah Anatasia, Velly Anderson, Ricky Andre Kurniawan Andy Wijaya Andy Wijaya Andy Wijaya Angelina, Vern Jessica Angie Wiyani Putri Anthonio Anthonio Anthony Veru Antonio, Marco Aprilia, Keysia Apriyanti, Silvia Ardi Gunawan Ari Kurnia Setiawan Arlito Wailan Arron, Rivaltino Azhari, Ozmar Berliana Glorya Liebe Imbing Bernadus Gunawan Sudarsono Bernadus Gunawan Sudarsono Bernanda, Devi Yurisca Billy Anderson Matjik Bobby Sanjaya Bolly Oscar Mario Tinambunan Brainard, Aryo Budi Hartono Mesa Budiyantara, Agus Budiyanto, Very Calvin Tjee Chandra, Johansen Christian Charles - Martino Charolina, Yanthi Christian Hendry Christianto, Kevin Christy, Vania Clara, Monica Comeron, Rion Cornelius, Wilson Cristo, Natanael Cynthia Pangrestu Da Gonza, Alfredo Daniel Wicaksono Utama Putra Danu Pranamya David Sugian Davinci, Leonard Debby, Frian Deny, Deny Derhass, Gerry Hudera Deswin Auliyaa Rabbani Devi Yurisccca Bernanda Dinata, David Freggy Dwi Sasongko, Yohanes Probo Edric - Suryady Edric Suryady Eirene, Eirene Ekky Yohanes Gunawan Eko Ariawan EKO WAHYU PRASETYO Elshadda, Sri Bina Endi Putro Fabio Mangatas Silaen Felicia, Jennifer Fenny Fenny Fernaldy Fernaldy Fernando, Lukas Fernando, William Francka Sakti Lee Francka Sakti Lee Frian Debby Gary Juliawan Geasela, Yemima Monica Geasela, Yemima Monica Gerry Hudera Derhass Ginting, Jusia Amanda Girdayanto, Teguh Meirizky Gunawan Sudarsono, Bernadus Gunawan Wang Gunawan, Ardi Gunawan, Catherine Hadi - Sanjaya Halim Agung Harryston Nagata Harryston Nagata Harvey Pratama Hendry - Himayadi Hendy Tannady Henny Hartono Herlina Herlina Herlina Herlina Herlina Hermawan Wijaya Honni Honni Honni Honni Honni, Honni Honni, Honni Hosea Hosea Huang, Calvin I Gusti Ngurah Suryantara I Gusti Ngurah Ignatius Adrian Mastan Ilham Hadiwijaya Imbing, Berliana Glorya Liebe Iskandar Budiman Sukmajaya Isputrawan, M. Fauzi James Surya Seputro Jason - Leonidas Jefry Leonardo Jessica Jessica Jessica Jessica Jodie Darmawan Wijaya Joe Junior Johan Wijaya Jonathan, Eric Jonathan, Eric - Jonathan, Okto Jordan, Jordan Jordy Mayseleste Joshua Putra Joshua Putra Jubiko, Jubiko Julia Gunadi Julia Loisa Kamila, Ahya Radiatul Kantona, Yohanes Kantona, Yohanes - Karunia Sentosa Kelvin - Kelvin Kevin Christianto Kevin Christianto Kevin Hadi Saputra Kevin Kevin Kevin kevin Kevin Samuel Ariyanto Kevin Samuel Aryanto KEZIA, KEZIA Kosasi, Kosasi Kristanto Kristanto Kristianti, Steffi Kurniawan, Febryanto Kusuma, Adi Wahyu Candra Lesmana, Kenvil Liebe Imbing, Berliana Glorya Lili Tresha Liliana, Lydia Limawal, Isabelle Ivana Lydia - Liliana Lydia Liliana M. Yogi Riyantama Isjoni Malvin Adrianus Marcellus Susanto, Filbert Margaretha - Mei Mei Marlina - Marlina Mayseleste, Jordy Mery Mery Meyliana, Sintia Meylovsky, Rourentsia Michael Kartin Michael Michael Michelle Angelia Michelle Disa Widjaja Mohammad Alief Wahyudi Monica - Clara Monica Clara Monica Geasela, Yemima Mulyo, Jonathan Riady Nababan, Andika Jakaria Nagata, Harryston Ngurah Suryantara, I Gusti Nicholas, Martinez Nico Fernando Nirwan Nirwan Nurken, Brian Prasnavira Nurprihatin, Filscha Octaviyanti, Pistia Onggo, Kallista Angelia Owen, Bryan Paramita Rosadi Pradini, Tika Pranchis - Ranting Pranchis Ranting Prayogo, Tonny Prayogo, Tonny - Purnomo, Yunianto Putra, Rakassiwi Ayudharma Rahman, Muhammad Ryo Reinaldo Reinaldo Rengga Eko Riwanto Reynaldi Ekklesia Ricky Anderson Ricky Anderson Riman Irfanto Riwanto, Rengga Eko Roby Wijaya Ronny Kurniawan Rouly Doharma Sakti Lee, Francka Sakti, Francka Samuel Winata Sanjaya, Hadi Setiawan, Selly Siska Steffi Kristianti Steven Steven Steven Winata Sudarsono, Bernandus Gunawan Sugiyanto, Liem Bambang Sukmajaya, Iskandar Budiman Sulaeman, Asvian Suryadi Suryadi Suryadi Suryadi Suryantara, I Gusti Ngurah Sutria, Kevin Tampinongkol, Felliks F. Tanardi, Indra Tanjaya, Verawaty Tanuhariono, Vincent Richard Teady Matius Surya Mulyana, Teady Matius Teguh Hidayatul Rachmad, Teguh Hidayatul Thomas Alexander Tjandra, Kenji Triady, Sevilla Valerian Cong, Davina Vania Christy Verawaty Verawaty Vincentius Octavianus Wandy Wandy Wensen Anggara Widjaja, Michelle Disa Wiedjaya, Handry Wijaya, Andreas Wijaya, Rakkha Leonardi Wijaya, Riki Wijaya, Riki William Chandra William Darma William William Wilsen Wilsen Wilujeng, Fuji Rahayu Wilujeng, Fuji Rahayu Wincent, Wincent Witari, Putu Sita Witari, Putu Sita Yanthi Carolina Yanthi Charolina Yemima Geasela Yemima Monica Geasela Yessica Putri Santoso Yohanes Setevannus Yonatan Yosephine, Satya Howen Yosua Yuda Yusup, Christian Ronaldo Yusup, Cristiano Ronaldo Zefanya Ivgantius, Titus Zefanya