Article Per Year (5 Year)
p-Index From 2021 - 2026
3.044
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JOIV : International Journal on Informatics Visualization Jurnal Pilar Nusa Mandiri Jurnal ULTIMA InfoSys Ultima Management : Jurnal Ilmu Manajemen Idealis : Indonesia Journal Information System Journal of Applied Data Sciences JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Wella, Wella
Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
EVALUATION OF QUALITY MANAGEMENT SYSTEM USING ISO 9001:2015 AT STARTUP COMPANY Anggraeni, Luqyana Fitri; Wella, Wella; Suryasari, Suryasari
ULTIMA Management Vol 14 No 2 (2022): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v14i2.2850

Abstract

Abstract- The Company requires international standards to be recognized by large companies. The international standard that can be used is ISO 9001:2015, were before implementing directly to formal institutions, companies need to conduct a self-assessment on the achievement of ISO 9001:2015 implementation. The ISO 9001:2015 international quality management system is based on ten principles. These principles are used by senior management as a framework that guides the organization towards improving performance. The rating scale consists of Very Poor, Poor, Moderate, Good, and Very Good, which is converted into a maturity level. The implementation of ISO 9001:2015 has been going well, where the average maturity level obtained by The Company is at levels 3 to 4. Keywords: ISO 9001:2015; Maturity Level; Quality Management
A Comparative Study of Machine Learning Approaches to Megathrust Earthquake Prediction in Subduction Zones Wella, Wella; Desanti, Ririn Ikana; Suryasari, Suryasari
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.904

Abstract

Megathrust earthquakes are one of the most severe threats to countries situated along tectonic subduction zones, particularly Indonesia, where the movement of converging plates frequently triggers large-scale seismic events and tsunamis. Although recent developments in seismology have introduced various predictive tools, many of these models still face challenges, especially due to limitations in hydrogeological data quality. This study aims to investigate how three different machine learning algorithms perform in predicting megathrust earthquake events. The algorithms tested are Support Vector Machine, Random Forest, and Artificial Neural Network, applied to a dataset dominated by earthquake records from the Indonesian and Pacific regions. Each model was evaluated based on accuracy, precision, recall, and F1 score to provide a comprehensive performance analysis. The results show that Random Forest produced the highest accuracy, reaching 96%, followed closely by Support Vector Machine with 95%, while Artificial Neural Network achieved 83%. In terms of the F1 score, Random Forest led with a score of 0.95, indicating balanced performance in classification. However, recall, which is critical in disaster preparedness because it measures the model’s ability to detect high-risk events, Artificial Neural Network reached 92% for tsunami-related classifications. This suggests that while Random Forest is the most accurate overall, Artificial Neural Network could be more appropriate for early warning systems where the cost of missing a true event is much higher than issuing a false alarm. The contribution of this research is the direct comparison of multiple machine learning methods using real earthquake data, focusing not only on accuracy but also on practical disaster management considerations such as recall. This study also presents a novel perspective by analyzing the trade-off between model accuracy and disaster risk, emphasizing the need for probabilistic forecasts that can support timely public decision-making during seismic crises.
Early goat disease detection using temperature models: k-nearest neighbor, decision tree, naive Bayes, and random forest Putra, Fareza Ananda; Wella, Wella
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3835-3846

Abstract

This study aims to aid livestock activities by enabling early detection of diseases in goats through body temperature measurement. Early detection is crucial to prevent disease spread and improve livestock welfare. Using the knowledge discovery in databases (KDD) methodology, the study involves collecting, processing, and analyzing goat body temperature data. Four algorithms—k-nearest neighbor (KNN), decision tree, naive Bayes, and random forest—were used to develop disease detection models. The decision tree algorithm was found to be the most accurate, achieving 100% accuracy. This demonstrates its effectiveness in detecting diseases based on body temperature. Implementing this model is expected to significantly benefit farmers by helping maintain the health and productivity of their livestock.
PENGARUH SOCIAL INFLUENCES TERHADAP STICKINESS PEMBELIAN POWERAMP PREMIUM Kevin, Kevin; Wella, Wella
ULTIMA Management Vol 15 No 1 (2023): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v15i1.3000

Abstract

Abstract- Poweramp is an application that is divided into 2, freemium and premium, Poweramp application is a music player application that is ranked as number 1 in Google Play. Poweramp application can be downloaded through Google Play. Poweramp freemium have been downloaded by 45 million people, meanwhile Poweramp premium have been downloaded by 1 million people. There are significant differences between Poweramp freemium and premium application. This phenomenon is used as a basis for comparisons between free and paid applications that are increasingly appearing. Many free applications that actually deliver viruses and malware. Therefore, this research aims to analyze the factors that influence a person to download Poweramp freemium application and buying the Poweramp premium. In the process of doing this research, literature reviews from other relevant journals are needed. Amidst the research, a questionnaire is created with Google Form and is distributed to respondents that have already buy Poweramp premium application. There are in total 100 valid responses that is gathered from the respondents. The data that have been gathered are then analyzed with Partial Least Square method by using SmartPLS software. The stages that is needed to be done in PLS method are to rate the Measurement Model, Discriminant Validity, Reliability Test, Average Variance Extracted (AVE), and to analyze the hypothesis received from the output of Result for Inner Weights. Results from the research shows that social factors have significant influence towards people's decision to download Poweramp freemium application, and continuing to buy Poweramp premium application. Keywords: Application; Poweramp; Social Factors; Stickiness; Partial Least Square
MEASUREMENT OF ISO 9001:2008 IN PUSDATIN PUPR INDONESIA Andini, Nurullina; Wella, Wella
ULTIMA Management Vol 15 No 2 (2023): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v15i2.3361

Abstract

Abstract - The issue at hand is to the implementation of the quality standard outlined in ISO 9001:2009, specifically focusing on clauses 4 through 8. In order to obtain the desired outcome, a comprehensive interview was conducted with the director of the department. Additionally, a total of 51 questionnaires were distributed among the 52 staff members, and relevant documents were carefully reviewed. The evaluation was conducted with the Likert Scale, and the final outcome was determined based on the maturity level. The implementation of clauses 4 to 8 of the ISO 9001:2008 quality standard at PUSDATIN has been successfully executed, achieving a level 4 rating (Managed and Measurable). PUSDATIN must enhance its capacity in order to attain the highest level of maturity, namely level 5. To get a level 5 rating, PUSDATIN should consider implementing ISO 9001:2008 standards. This would ensure that the required product quality is consistently maintained to meet customer expectations. Additionally, PUSDATIN can enhance its capabilities by recruiting professionals with expertise in quality management systems. Keywords: ISO 9001:2008; Maturity Level; Quality Management System; Quality Standard.
HOW DOES COVID-19 INFLUENCE CUSTOMER BEHAVIOUR IN ONLINE SHOPPING IN INDONESIA? Hartanto, Andreas; Wella, Wella
ULTIMA Management Vol 16 No 1 (2024): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v16i1.3496

Abstract

Abstract - E-Commerce is the distribution, purchase, sale, marketing of goods and services through electronic means such as the internet or television, or other computer networks. As a digital application, a company must have its own advantages and uniqueness that can attract consumers to use its platform continuously. This study analyzes the factors of consumer behavior towards e-Commerce during COVID-19. In this study, research was carried out using a questionnaire technique that was distributed to target respondents, namely users who actively use e-Commerce. The research model used in this study adopted the model that had been done on previous study. The data analysis method used in this research is descriptive statistics and quantitative test using SPSS 25. The results of the study with the number of samples obtained in this study were 151 samples showing that the factors that influence Consumer behavior are attitudes and awareness of behavior. Keywords: Consumer Behavior; COVID-19; Digital Application; E-Commerce; Quantitative Test.
A Bibliometric Analysis of The Term DataOps Nugroho, Antonius Sony Eko; Wella, Wella
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3450

Abstract

This paper aims to analyze research trends of the term DataOps scientifically through bibliometric studies. Initial data were collected from Scopus database from 2018 to 2023 which resulted 34 documents, while in other hands we found more than 1000 documents in the Google Scholar database collected using Publish or Perish. Five years of data is collected because the scientific publications on term DataOps started to increase since 2018. We have deployed ``bibliometrix 3.0'', the r-package, and VOSviewer to analyze key literature aspects. Since the rise of the term DataOps, significant contribution to its definition and practical applications can be observed. DataOps enthusiasts collaborate to create a common principle for uniformly applying the methodology in the various data operation environments. DataOps will continue to evolve into an effective and reliable data management system. The findings in this study will help related researchers recognize the research trends of topics in DataOps research globally and suggest future research directions.
Measurement of Information Technology Management Capability Using COBIT 5.0 in The Facility Management Department of PT Permata Graha Nusantara Chui, Alexander Alvin; Wella, Wella
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3473

Abstract

IT governance is the responsibility of the board of directors and executive management of a company that ensures the company information technology supports and expands the company strategy and objectives. But IT governance that does not support departments can have a negative or detrimental impact on the department. For this reason, it is necessary to take measurements to see the level of IT governance that is currently being implemented. The Facility Management Department is a department of PT Permata Graha Nusantara which is engaged in building management services that wants to see whether the ongoing IT system provides support to operational activities and provides better services to customers. To measure the capability of IT governance, the COBIT 5.0 framework is used as a reference in this study. Domain selection is done according to COBIT 5.0 standard and on the selection of the department 5 domains are tested, namely APO05 Manage Portfolios, APO10 Manage Suppliers, APO11 Manage Quality, BAI04 Manage Availability and Capacity, and DSS03 Manage Problems. Each domain chosen to have different aims and objectives and measured using standards set by the COBIT 5.0 framework. The measurement results are Capability Level which has levels from level 0 to 5. The target expected by the Facility Management department is level 4, but the results obtained are not in line with expectations and get level 3 in each domain tested, so this department must make improvements based on recommendations made based on the COBIT 5.0 framework.
Personalized Learning Models Using Decision Tree and Random Forest Algorithms in Telecommunication Company Wiratman, Alexander Bryan; Wella, Wella
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1905

Abstract

In response to the rising popularity of online training, this study addresses the crucial need for effective assessment methods at PT XYZ. The research focuses on developing a comprehensive solution through a data visualization dashboard and a machine learning model. The data visualization dashboard, created using Tableau, provides an interactive platform for exploring training data. It offers valuable insights into employees learning progress and needs, empowering them to monitor their advancement and identify areas for improvement effectively. Simultaneously, a machine learning model was developed using Python and Google Collab, employing decision trees and random forest algorithms. The model exhibited promising results with an accuracy rate of 69% for decision trees and 70% for random forests, indicating its proficiency in predicting skill groups. Furthermore, the study rigorously evaluated the dashboard and machine learning model using a 20% holdout dataset, affirming their effectiveness. The dashboard, deployed on a web server, ensures accessibility to all PT XYZ employees, enhancing user experience and engagement. Notably, the dashboard's user-friendly interface allows employees to actively participate in their learning journey, while the machine learning model generates personalized training recommendations based on their progress and needs. In summary, this research provides a practical and innovative solution to the challenge of online training assessment at PT XYZ. By combining data visualization techniques and machine learning algorithms, the developed tools significantly enhance the efficiency and effectiveness of training programs. These findings contribute valuable insights into online training assessment methodologies and pave the way for improved learning experiences in the digital age.
Evaluasi Layanan Teknologi Informasi Menggunakan Kerangka Kerja Information Technology Infrastructure Library Pratama, Arya; Wella, Wella
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 2 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i2.8320

Abstract

This study aims to evaluate PT Gramedia Asri Media to find out whether the company's IT services meet the best standards of the ITIL V3 Service Operations framework. Service Operations focus includes Problem Management, Incident Management, Access Management, Request Fulfillment, and Event Management. Evaluation is carried out in four stages: planning, field inspection, reporting, and follow-up. The results indicate the maturity level of IT service implementation. For data collection, questionnaires were distributed to five people who were surveyed and interviewed with the heads of engineering services and support staff. The results show that the company's IT service maturity level is at level one. In addition, this research produced seventy suggestions for companies to improve their IT services. The results show that almost all suggestions were well received by the company, and some of them have been implemented at PT Gramedia Asri Media. However, of course, with the problems discovered from this research, there will be a desire to improve service and performance.
Co-Authors Alexander Alexander, Alexander Andini, Nurullina Andreas Hartanto Anggraeni, Luqyana Fitri Chui, Alexander Alvin Herliani, Meidina Kevin kevin Kurniawan, Jesslyn Lee, Nicholas Lie, Steven Nugroho, Antonius Sony Eko Pratama, Arya Putra, Fareza Ananda Ririn Ikana Desanti Suryasari Tanjung, Dio Febrillian Tjahjana, David Wiratman, Alexander Bryan