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All Journal Jurnal Teknologi dan Manajemen Informatika JOIV : International Journal on Informatics Visualization Computatio : Journal of Computer Science and Information Systems Jurnal ULTIMA InfoSys JSiI (Jurnal Sistem Informasi) Jurnal Tekno Kompak JIKA (Jurnal Informatika) Aiti: Jurnal Teknologi Informasi International Journal Of Science, Technology & Management (IJSTM) Journal of Applied Data Sciences International Journal of Social and Management Studies (IJOSMAS) Jurnal Informatika Ekonomi Bisnis The Indonesian Journal of Computer Science JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara
Wiratama, Jansen
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A PROTOTYPE MODEL ON DEVELOPMENT OF WEB-BASED DECISION SUPPORT SYSTEM FOR EMPLOYEE PERFORMANCE ASSESSMENTS WITH SIMPLE ADDITIVE WEIGHTING METHOD Ramadhan, Muhammad Chezar; Wiratama, Jansen; Permana, Angga Aditya
Jurnal Sistem Informasi Vol 10 No 1 (2023)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v10i1.6137

Abstract

The manager or related supervisor performs employee performance assessments to measure the performance and competency of the company's employees. The results of employee assessments can be used to make decisions. Three problems arise in the performance assessment process for PT Tibeta Logistik Indonesia's current employees. The first is that the assessment process is carried out conventionally. So it takes longer, the assessment results can be more objective, and managers or superiors cannot monitor employee performance evaluation results. Based on the literature review, it is known that the Decision Support System is a method that performs assessments more quickly and objectively. Simple Additive Weighting (SAW) is the Decision Support System method for performance assessment. The decision support system will be implemented on a website-based system designed with a prototype model. This research produces a website-based decision support system that can contribute to companies in evaluating employee performance. Before implementation, the decision support system was tested using the User Acceptance Test (UAT) method and obtained very good average results. Then in the comparison between before and after using the system, the results of employee assessments when using the system get superior results in 3 aspects: Integration, security, and ranking. Kata kunci: DSS, Prototipe, SAW, UAT, website.
Improving the Data Management: ETL Implementation on Data Warehouse at Indonesian Vehicle Insurance Industry Wiratama, Jansen; Abhinaya Bagioyuwono, Michael
International Journal of Science, Technology & Management Vol. 4 No. 5 (2023): September 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i5.936

Abstract

Unknowingly, risk is an essential part of an individual's life. Every day individuals have the potential to be threatened by possibilities that can produce something that has fatal social, human, and financial consequences. Insurance can help individuals to relieve the financial burden caused by unwanted things by transferring individual losses to insurance companies. This transfer of losses will distinguish individuals from possible bankruptcy and financial security. Automotive insurance is a liability for loss or damage to motorized vehicles. This time we will take the example of an insurance company specializing in automotive insurance, namely Top Gear Insurance (TGI). This company uses customer data storage using an ordinary manual database that does not yet use a data warehouse system. This ordinary manual database makes it difficult for TGI to retrieve data for reprocessing and makes data inaccessible from anywhere, asynchronous, concise, and inefficient. There is a solution to the TGI problem of creating a data warehouse with a star schema approach for storing and processing data. The data warehouse is likely to make the data within the company more accessible, efficient, simple, and understandable so that TGI can develop its business through data analysis from the data it already has. Datawarehouse has many business advantages, such as increasing Business Intelligence, data quality and consistency, saving time, and supporting historical data analysis and queries. The data warehouse consists of datamart, OLTP, OLAP, and Star Schema. Using Mondrian as a visualization showed that TGI can get information about customer data, policies, and claims easily, quickly, and concisely. That can also help TGI create customer profiles and targeted marketing and company evaluation based on the visualization provided.
Development of Web-based School Uniforms order Application in a Private School with Prototyping Model Wiratama, Jansen; Ady Sanjaya, Samuel; Santoso, Hari; Brian Kurniadi, Reinardus
International Journal of Science, Technology & Management Vol. 4 No. 6 (2023): November 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i6.977

Abstract

Strada SMK Daan Mogot, a private school in Tangerang City, oversees several operations. Student registration, academic exams, uniform measurements, and book purchases are carried out at the beginning of each school year. The Uniform Team tasked with handling this activity experienced difficulties due to the large volume of data, making conventional techniques inefficient to carry out. This research focuses on simplifying uniform ordering procedures from the uniform team to the uniform manufacturing supplier. The Uniform Team recorded and measured orders by hand, which resulted in time-consuming management and limited real-time data monitoring for the Principal. A web-based solution that allows easy access to uniform ordering data is needed to speed up these operations. The successful development and installation of this application at SMK Strada Daan Mogot is a significant achievement, with good User Acceptance Test results and confirming alignment with user needs. This progress is an essential step toward optimizing school operations.
Development of Virtual Painting Method using OpenCV Library with Finger Gesture on Online Learning Platform Ramadhan, Glenn; Wiratama, Jansen; Permana, Angga Aditya
Jurnal Informatika Vol 6, No 3 (2022): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v6i3.6875

Abstract

With the pandemic situation that has occurred for the last two years to date, educators and students carry out many learning activities online. Learning activities are carried out using virtual meeting media, the concept of meetings and discussion processes that are carried out virtually with existing digital communication devices. From the problems, it was found that students were likelier to be less active when learning theory than practice, which made it difficult for educators to find various media that would be given to students to support online learning activities to be more interactive. This study discusses the creation of a system that can be a medium for delivering helpful material to improve the quality of interaction between educators and students. A virtual painter is one of the media to support the online interactive learning process, where educators can complete the material presented with a clearer picture that educators provide to students. Virtual painters are used to tracking finger pattern movements where the user moves his hand as needed, namely drawing and release, which educators can use to deliver more interactive material to students in theoretical and practical learning. The system design method used in building the virtual painting is Rapid Application Development (RAD) which is carried out through 8 stages, starting from Requirements Analysis to Operation and Maintenance. Next, the diagram design uses UML notation and the phyton with OpenCV coding process. After the virtual painter had been made, an evaluation was conducted and resulted in a positive impression of all six scales: attractiveness, efficiency, clarity, precision, stimulation, and novelty.
Improving Invoice Management: A Web-based Application for the Hospitality IT Vendor Industry using Prototyping Model Wiratama, Jansen; Wijaya, Santo Fernandi; Santoso, Hari; Jonathan
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 4 (December 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i4.752

Abstract

This research delves into the challenges faced by a hospitality IT vendor providing services to a diverse clientele in Indonesia. The vendor, relying on profits from clients for operational and developmental activities, needs help with the billing process. The complexities arise from various payment schemes, including full payments and installments, coupled with the annual requirement for clients to purchase a maintenance key for continued system access. The existing transaction process experiences delays due to difficulties searching for invoice data among numerous clients with varying payment times. These delays hinder the timely collection of subsequent payments, resulting in receivables and potential disruptions to the vendor's cash flow for operational and developmental costs. Traditional bill recording methods compound the problem with inaccuracies and data retrieval challenges The findings of this research is a web-based application developed through the SDLC prototyping model to address these issues. The application, evaluated through User Acceptance Testing (UAT), successfully overcame the challenges. The results indicate that the application efficiently manages invoice data, facilitates timely payments, and enhances overall accuracy in data processing. In conclusion, the web-based application is an optimal solution, resolving invoice management issues and streamlining processes for the hospitality IT vendor.
Web-Based ERP System Prototype for Enhanced Inventory and Supply Chain Management in the Logistics Industry Hadikin, Valdy Beniah; Wiratama, Jansen
ULTIMA InfoSys Vol 15 No 2 (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.v15i2.3839

Abstract

Technological advancements have driven companies to adopt innovative solutions to improve efficiency and streamline operations. PT Kesuma Express, a logistics company in Indonesia, faced inefficiencies and frequent errors due to its reliance on manual processes such as transaction recording, document management, and income reporting. This research developed a web-based Enterprise Resource Planning (ERP) system prototype to address these challenges, focusing on Inventory and Supply Chain Management (SCM) modules. The prototype uses the Rapid Application Development (RAD) model and the Laravel framework and includes key features such as transaction recording, customer data management, and financial reporting. The inventory module enhances truck data management, monitors truck availability, and alerts users about data discrepancies, ensuring accuracy and timely actions. The SCM module supports the delivery process by providing real-time delivery status tracking that is accessible to both warehouse staff and administrators, enabling transparency and efficiency in goods distribution. The system replaced PT Kesuma Express manual processes, significantly improving operational efficiency and reducing errors. By integrating inventory and SCM capabilities, the ERP system has streamlined operations, enhanced data accuracy, and improved customer service quality. This research demonstrates the transformative potential of ERP systems for logistics companies aiming to modernize their operations.
Cargo Delivery web-based Application with Ant Colony Optimization Algorithm for Shortest Route search: A Case Study in the Die Cutting Industry Wiratama, Jansen; Wijaya, Santo Fernandi; Tandika, Idris; Santoso, Hari
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 1 (2024): Juni 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i1.11372

Abstract

Conventional business processes sometimes lead to negligence and forgetfulness regarding important delivery requests, thereby causing operational disruptions that could impact the company's reputation. The limitations of conventional methods are also faced by CV Karya Pelangi, a company operating in the Die die-cutting industry, where many customer orders are usually submitted orally, causing problems that lead to late deliveries and delays in the production process. This problem is exacerbated by limited resources, for example, a delivery fleet consisting of only two drivers. Focuses on developing web-based applications with prototyping models and implementing the Ant Colony Optimization (ACO) algorithm to overcome delivery route optimization challenges. This research produces a web-based application using a software prototype model. In addition to applying the ACO algorithm to identify optimal delivery routes, the app offers insights into the goods transported, shipper details, and departure and destination times. Simulation results show that CV Karya Pelangi can now determine short circuit paths efficiently, thereby increasing operational efficiency, with a path length of 0.3892 and a pheromone intensity of 2.569. This innovative solution promises to revolutionize cargo shipping operations, ensuring timely and efficient deliveries increasing customer satisfaction and operational efficiency.
Exploring organizational readiness for ERP HRM implementation using the McKinsey 7S Framework Cahayadi, Putri Andy; Faza, Ahmad; Wiratama, Jansen
AITI Vol 22 No 2 (2025)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v22i2.236-250

Abstract

This study explores the readiness of PT Halim Lestari Mandiri (PT HLM) for implementing an ERP HRM system, addressing challenges such as high costs and lengthy deployment times. Using the McKinsey 7S framework, a qualitative approach involving focus group discussions (FGDs) was employed to understand factors affecting organizational performance and effectiveness. Four HRM department employees, selected for their knowledge of ERP and understanding of business processes, contributed to data collection through moderated FGDs. Thematic analysis was employed to analyze the data. Results show that a successful ERP HRM implementation requires a comprehensive strategy, covering organizational structure, strategic planning, shared values, technological integration, leadership, communication, and skill development. PT HLM's readiness and adaptability, along with strategic employee development and shared values, create a strong foundation for successful implementation. Improved technological systems and inclusive leadership support accurate decision-making and efficient operations, while ongoing training ensures employees remain well-prepared. This research underscores the importance of an integrated, multifaceted approach to achieving ERP HRM success. It recommends policymakers develop policies that foster organizational readiness and ongoing skill development to adapt to technological advances. The study adds to existing knowledge by providing a detailed, module-specific readiness assessment and emphasizes the need for flexible structures and continuous training to ensure successful ERP HRM implementation.
Enhancing Heart Disease Classification: A Comparative Analysis of SMOTE and Naïve Bayes on Imbalanced Data Wibowo, Jonathan Juliano; Kristiyanti, Dinar Ajeng; Wiratama, Jansen
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3248

Abstract

Heart disease remains a significant health concern, and early prediction plays a crucial role in improving patient outcomes. This study examines data mining techniques for heart disease classification, with a focus on the Naïve Bayes algorithm. A common challenge in such classification tasks is data imbalance, which can negatively impact the performance and evaluation metrics of the algorithm. To address this, we employed the Synthetic Minority Over-sampling Technique (SMOTE) to handle imbalanced data. Using the Knowledge Discovery in Databases (KDD) framework, the research followed data selection, pre-processing, transformation, mining, and evaluation stages. We applied SMOTE to the Naïve Bayes algorithm across three data split ratios (70:30, 60:40, and 50:50) and compared performance metrics before and after the SMOTE application. For the first dataset, the 50:50 split ratio showed the most tremendous improvement, with precision increasing from 30.74% to 78.15%, recall from 42.88% to 63.89%, and the Area Under Curve (AUC) from 0.819 to 0.831, although accuracy decreased from 86.82% to 73.01%. For the second dataset, the 70:30 split ratio yielded the most significant improvements, with accuracy rising from 95.22% to 97.72%, precision from 96.33% to 99.88%, recall from 51.11% to 95.57%, and AUC from 0.969 to 0.996. These results demonstrate that SMOTE can substantially improve classification performance in heart disease prediction, particularly in precision, recall, and AUC, with varying effects on accuracy depending on the dataset.
Improving the Quality of Service: ETL Implementation on Data Warehouse at Pharmacy Industry Dwi Wardhani, Fardhila Zahra; Wiratama, Jansen
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3211

Abstract

Pharmacy services are an important part of society and play an irreplaceable role. Availability of medicines is a key factor that needs to be considered in health services. Parapharma, as a company engaged in the supply of medicines, realizes the importance of monitoring and analyzing data to optimize medicine availability. In the ongoing process, monitoring and analyzing data related to pharmacy availability has yet to run optimally because the amount of data is quite large. The monitoring and data analysis process is still carried out conventionally, so decision-making and management of pharmacy availability still need to be optimized. Therefore, through this research, Data Warehouse and Online Analytical Processing (OLAP) will be implemented to support the decision-making process in managing pharmacy availability. The Extract, Transform, and Load (ETL) process integrates data from different sources into a data warehouse. The data is then processed and transformed so that it can be used for further analysis. By implementing a data warehouse and ETL, Parapharma can have fast and efficient access to important information contained in the data. OLAP technology, especially using Mondrian tools, is a means for companies to extract information from data warehouses with the help of interactive visualization. Various visualizations, such as information about laboratories providing the most popular pharmacy brands, the most in-demand types of pharmacys, and the average price per form of pharmacy, can provide significant insight into company strategic decisions. This research resulted in applying data warehouse and OLAP so that Parapharma can obtain accurate and detailed information regarding pharmacy demand and market trends. These research results allow companies to make the right decisions to manage pharmacy production to meet pharmacy needs efficiently. The use of data warehouse and OLAP also positively impacts improving the quality of service to the community.
Co-Authors Abda Abda Abhinaya Bagioyuwono, Michael Ady Sanjaya, Samuel AGUS PURWANTO Andoko, Andrey Angga Aditya Permana Asbari, Masduki Brian Hardjadinata, Maximillian Brian Kurniadi, Reinardus Cahayadi, Putri Andy Dinar Ajeng Kristiyanti, Dinar Ajeng Dwi Wardhani, Fardhila Zahra Elissa Dwi Lestari, Elissa Dwi Evelin Johan, Monika Fachry Abda El Rahman Fahmalatif, Farida Faza, Ahmad Fernandi Wijaya, Santo Hadikin, Valdy Beniah Hakim, Fayed Abdul Hari Santoso Hari Santoso Hidayati, Laily Hidayati Jonathan Kurniasari, Florentina Lala, Yohanes Brian Caesaryano Lukito, Axcel Mubarak, Akhmad Zainal Novitasari, Dewiana Ramadhan, Glenn Ramadhan, Muhammad Chezar Rian Ririn Ikana Desanti Sanjaya, Samuel Ady Santo Fernandi Wijaya Sony E N, Antonius Sudargini, Yuli Suryasari Tan, Dasmond Tandika, Idris Wella Wibowo, Jonathan Juliano