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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 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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Journal : Journal of Information Systems and Informatics

 1 
Risk Analysis of Business Continuity Plan in Light Steel Company Using ISO 31000 Framework Andry, Johanes Fernandes; Christianto, Kevin; Purnomo, Yunianto; Lee, Francka Sakti
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.955

Abstract

Light Steel Company is an industry engaged in manufacturing, has adopted technology and has a data center. The purpose of this study is to provide a guide and strategy for preventing risks and actions to minimize and overcome risks that can be used and implemented, so that the company's business processes can continue to run sustainably. This study uses Business Continuity Plan (BCP) using ISO 31000. Data collection is used by an interviewing employee who works at this organization. The analysis shows there are 15 possible risks that will hinder the operation of Light Steel companies based on the risk level high, medium, and low categories. High risk level is 26.7%, there are 4 possible risks, namely R05 (Loss of spare parts), R06 (Unscheduled maintenance and care for trucks and equipment spare parts), R10 (Server down) and R012 (Network connection problems). Medium risk level is 26.7%, there are 4 possible risks, namely R02 (flood), R07 (Cybercrime), R08 (Hacking), and R011 (Sudden power outage). Finally for low risk level is 46.6%, there are 7 possible risks, namely R01 (Earthquake), R03 (Dust), R04 (Fire), R09 (Abuse of access rights), R13 (Overheat), R14 (Data Corrupt), and R15 (Virus Attack, Malware).
Developing a UKM Activity Application for Universities in North Jakarta Using Scrum Christianto, Kevin; Lee, Francka Sakti; Witari, Putu Sita; Andry, Johanes Fernandes; Budiyantara, Agus
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.956

Abstract

Student Activity Units (UKM) plays an important role in supporting the development of student skills outside of academic activities. However, the management of UKM activities often faces obstacles in communication, administration, and membership management. This study aims to develop a UKM Activity Application designed to improve the operational efficiency of UKMs at Universities in North Jakarta. This application is equipped with key features such as member registration, activity management, attendance, and transparency of financial administration. The development was carried out using the Scrum method, which involves an iterative process starting from user needs analysis, product backlog preparation, to feature development in sprints. Daily stand-up meetings are held to monitor progress, and sprint reviews are used for evaluation and adjustment. The final result of this study is an application that is able to improve the efficiency of UKM activity management, strengthen communication between members, and increase student involvement in campus activities. This application is expected to be a modern digital solution to facilitate the management of UKMs in the university environment.
Integration of Hash Encoding Technique with Machine Learning for Employee Turnover Prediction Kamila, Ahya Radiatul; Andry, Johanes Fernandes; Lee, Francka Sakti; Tampinongkol, Felliks F.
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1129

Abstract

Employee turnover refers to the replacement of employees within an organization, which can lead to losses such as recruitment costs and decreased productivity. Predicting turnover is crucial for companies to anticipate and take appropriate actions to retain potential employees. This study aims to optimize the employee turnover prediction model by integrating hash encoding techniques and machine learning. The dataset used in this study is an open-source dataset obtained from Kaggle dataset. It consists of 14,994 rows and 10 columns (features) representing employee-related information such as satisfaction level, evaluation score, number of projects, average monthly hours, and whether the employee left the company. Among these features, some are of object data type. Since machine learning algorithms generally cannot work directly with object-type features, the use of hash encoding is proposed. This technique converts object-type data into numerical data. It is part of the preprocessing stage, aiming to reduce memory usage, speed up data preprocessing, and improve model performance. After preprocessing is completed, the prediction model is trained using the Random Forest algorithm to predict employee turnover. The evaluation is conducted using accuracy, recall, precision, and F1-score metrics, which yielded results of 0.988, 0.961, 0.988, and 0.974, respectively. These results indicate that the integration of hash encoding techniques and machine learning can produce a well-performing model for predicting employee turnover.
Co-Authors ., Deny ., Ozmar Adam Christian Claudio Adam Surya Wijaya Agus Budiyantara Agustina Andriani Agustina Andriani Agustinus Adi Prawoto Ahya Radiatul Kamila Albert Yohanes Albert Yohanes Alexandre, Jonathan Alvin Alvin Alvin Saputra Tandiono Anderson, Ricky Andre Kurniawan Andy Wijaya Andy Wijaya Andy Wijaya Angie Wiyani Putri Anthonio Anthonio Anthony Veru Antonio, Marco Anwar, Sahrul Aprilia, Keysia 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 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 Deny, Deny Derhass, Gerry Hudera 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 Eric Jonathan Fabio Mangatas Silaen Felicia, Jennifer Fenny Fenny Fernaldy Fernaldy Fernando, Lukas Fernando, William Francka Sakti Lee Francka Sakti Lee Francka Sakti Lee Frian Debby Gary Juliawan Geasela, Yemima Monica Geasela, Yemima Monica 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 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 Isabelle Ivana Limawal Iskandar Budiman Sukmajaya Isputrawan, M Fauzi Isputrawan, M. Fauzi James Surya Seputro Jason - Leonidas Jefry Leonardo Jessica Jessica Jessica Jessica Jodie Darmawan Wijaya Joe Junior Johan Wijaya 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 Kevin Sutria 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 Malvin Adrianus Marcellus Susanto, Filbert Marlina - Marlina Mayseleste, Jordy Mei Mei, Margaretha - 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 Muhammad Ryo Rahman 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 Rabbani, Deswin Auliyaa Rahman, Muhammad Ryo Ramadhan Ramadhan Reinaldo Reinaldo Rengga Eko Riwanto Rengga Eko Riwanto Reynaldi Ekklesia Ricky Anderson Ricky Anderson Riman Irfanto Roby Wijaya Ronny Kurniawan Rouly Doharma Sakti Lee, Francka Samuel Winata Sanjaya, Hadi Setiawan, Selly Silvia Apriyanti 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 Tampinongkol, Felliks F. Tanardi, Indra Tanjaya, Verawaty Tannady, Hendy Teady Matius Surya Mulyana, Teady Matius Teguh Hidayatul Rachmad, Teguh Hidayatul Thomas Alexander Tjandra, Kenji Triady, Sevilla Valerian Cong, Davina Vania Christy Vania Christy Verawaty Verawaty Vern Jessica Angelina Vincent Richard Tanuhariono Vincentius Octavianus Wandy Wandy Wensen Anggara 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