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All Journal Jurnal Teknologi dan Manajemen Informatika Journal of Information System JOIV : International Journal on Informatics Visualization Computatio : Journal of Computer Science and Information Systems Jurnal ULTIMA InfoSys JSiI (Jurnal Sistem Informasi) Jurnal Tekno Kompak Journal of Information Systems and Informatics JIKA (Jurnal Informatika) Aiti: Jurnal Teknologi Informasi International Journal Of Science, Technology & Management (IJSTM) Journal of Applied Data Sciences Indonesian Community Journal Jurnal Informatika Ekonomi Bisnis The Indonesian Journal of Computer Science JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara IJISCS (International Journal of Information System and Computer Science)
Wiratama, Jansen
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation Other

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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.
Enhancing Gaming Engagement through the Integration of Game Design Document and Finite State Machine: A Study on Optimizing Non-playable Character Responsiveness Wiratama, Jansen; Rian; Evelin Johan, Monika; Santoso, Hari
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3328

Abstract

Non-playable Character (NPC) is a prominent terminology within the gaming domain. While players do not directly control NPCs, their role significantly influences the gaming experience. Enhancing NPC responsiveness becomes imperative as NPCs' passive nature can lead to monotonous gameplay. To address this concern, a computational model, namely Finite State Machine (FSM), is implemented to elevate NPC responsiveness during interactions with the main characters, whether as adversaries or allies. This research uses the Game Design Document (GDD) methodology to design a survival horror-themed game. The resultant Survival Horror Game undergoes Alpha testing to validate its overall functionality and the successful integration of the FSM computational model. Findings indicate that enemy NPCs can pursue the main character from any position, with an average arrival interval of 68 seconds. Additionally, allied NPCs promptly respond when the main character approaches. Subsequently, the Beta testing results reflect an 80% average score interpretation based on percentage responses, implying the game's favorable suitability and acceptability on the Likert scale.
Sales Analysis on Garment Industry with Datawarehouse and ETL Implementation on Star Schema Tan, Dasmond; Wiratama, Jansen; Fernandi Wijaya, Santo
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3770

Abstract

In the current industrial era, clothing companies face increasingly complex challenges in maintaining the quality and sales of their products. To overcome these obstacles, companies must have a good vision, mission, and decision-making capabilities supported by efficient data management. Data is becoming a valuable asset in Industry 4.0, pivotal in process management, increased productivity, and competitive advantage. This research explores the implementation of Data Warehouse (data warehouse) and ETL (Extraction, Transformation, and Load) processes on star schema for PT Golden Flower Tbk. A data warehouse is a container for storing company data, supporting decision-making, and providing business insights. Meanwhile, the ETL process ensures that the data entered into the warehouse is clean, structured, and ready for analysis. PTA garment manufacturing and exporter company, USPT Golden Flower Tbk, uses the Pentaho application to carry out the ETL process. Pentaho, a Business Intelligence tool, facilitates easy data processing and analysis. This research also explains the use of dimension tables and fact tables in star schemas, which form the basis for more in-depth data analysis. Through visualization and analysis using star schema, Mondrian, and schema workbench, companies can identify sales patterns in each branch and understand which products are most in demand by consumers. The results of the star schema, moMondrianand schema workbench provide a better understanding of the company's sales performance, enabling more informed decision-making and more effective strategies.
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.
Studi Awal Pemanfaatan Teknologi Digital oleh UMKM UP2K Kenanga di Desa Curug Sangereng: Analisis Kesiapterapan Digitalisasi Pemasaran Wiratama, Jansen; Wijaya, Santo Fernandi; Budiyanto, Hendro; Setiadi, Robben; Raphael, Axel Lionel
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.8005

Abstract

Rendahnya literasi digital dan terbatasnya pemanfaatan media daring membatasi akses pasar UMKM perdesaan. Program pengabdian ini bertujuan mengidentifikasi kesiapan dan kebutuhan UMKM UP2K Kenanga di Desa Curug Sangereng dalam mengadopsi teknologi pemasaran digital. Desain program menggunakan pendekatan partisipatif berbasis komunitas (community-based participatory approach). Metode meliputi observasi lapangan, FGD dengan pemangku kepentingan, pelatihan digital marketing, serta perancangan dan pengujian prototipe e-marketplace berbasis web responsif. Sebanyak 11 UMKM terlibat pada proses pemetaan, uji coba, dan pelatihan. Hasil menunjukkan sebagian besar UMKM belum memiliki legalitas usaha dan belum memanfaatkan platform digital secara optimal, namun menunjukkan kemauan belajar yang tinggi. Prototipe e-marketplace diterima dan disempurnakan berdasarkan umpan balik pengguna. Temuan ini menegaskan bahwa pelatihan dan pendampingan berbasis teknologi merupakan strategi yang layak dan relevan untuk memperkuat transformasi pemasaran serta daya saing UMKM secara berkelanjutan.
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.
INTERNAL RESEARCH BUDGET PROPOSAL FEATURES DEVELOPMENT ON RESEARCH AND COMMUNITY OUTREACH SERVICES WEB-BASED INFORMATION SYSTEM AT PRIVATE CAMPUS Noveriyanti, Dea; Wiratama, Jansen; Permana, Angga Aditya; Wijaya, Santo Fernandi; Nugroho, Antonius Sony Eko
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1595

Abstract

Service processes using conventional methods have many limitations and have the potential to result in data accumulation and repetitive work. Transforming a service model that initially used Linktree into an Information System has become necessary for the Research and Community Service Institute (LPPM) of Multimedia Nusantara University (UMN). One of the features developed is the budget Proposal of Internal Research service feature. The Agile Development Method, a renowned software development methodology, is used to optimize the feature development of the RCOS Information System. The development process is carried out by benchmarking, user interviews, and prototyping, following the stages contained in the Agile Development Method. The leverage of the Laravel framework and Tailwind CSS play a pivotal role in developing a website-based RCOS information system. The service model was successfully transformed using the RCOS feature, and the test results with the User Acceptance Test (UAT) show that the Budget Proposal of Internal Research features in the RCOS information system can function well following the UMN LPPM service needs.
Exploring User Experience of an Interactive LMS for Green Entrepreneurship: An Empirical Study of the GEJUR Platform Kurniasari, Florentina; Wiratama, Jansen; Lestari, Elissa Dwi; Andoko, Andrey; Sony E N, Antonius; Fadhlan, Muhammad; Lala, Yohanes Brian Caesaryano; Hakim, Fayed Abdul; Mubarak, Akhmad Zainal
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.v6i4.1041

Abstract

This article aims to assess the design, development, and User Experience (UX) of GEJUR, a web-based interactive Learning Management System (LMS) designed to foster green entrepreneurship among youth in Nusa Tenggara Timur (NTT), Indonesia. This study defines green entrepreneurship as entrepreneurial activities that combine economic value creation with environmentally responsible practices that promote sustainability in business. This research enhances the domains of Human–Computer Interaction (HCI) and entrepreneurship education by illustrating how user-centered digital platforms may cultivate youth business competencies while promoting the Sustainable Development Goals (SDGs). GEJUR incorporates interactive learning modules, e-mentoring, and specific cultural features like weaved motifs (pola tenun), providing contextual relevance alongside essential LMS functions. A mixed-methods approach was employed, integrating surveys, Focus Group Discussions (FGDs), semi-structured interviews, and usability testing. Quantitative data were gathered via the System Usability Scale (SUS), whilst qualitative data documented user impressions of obstacles and anticipations. The usability evaluation, conducted with 33 individuals, resulted in a mean SUS score of 48.9, which corresponds to approximately 71.9% of the benchmark score of 68. This positions GEJUR beneath the established threshold, classified as having “poor” usability, although it remains functionally workable. Participants effectively accomplished critical tasks including authentication, course access, and quizzes, and offered favorable feedback regarding the system’s cultural integration. The results highlighted critical areas for enhancement, such as interface uniformity, minimization of response times, and more explicit user feedback. The study finds that GEJUR offers a viable yet improvable foundation for digital entrepreneurship training platforms in underprivileged areas. Subsequent study ought to broaden testing to encompass bigger and more heterogeneous user populations and implement sophisticated UX evaluation criteria beyond the SUS. Through iterative refinement, GEJUR can develop into a scalable platform that facilitates youth empowerment, sustainable business practices, and extensive socio-economic advancement.
Co-Authors Abhinaya Bagioyuwono, Michael Ady Sanjaya, Samuel Andoko, Andrey Angga Aditya Permana Brian Kurniadi, Reinardus Budiyanto, Hendro Cahayadi, Putri Andy Dharmada, Tralya Dinar Ajeng Kristiyanti, Dinar Ajeng Dwi Wardhani, Fardhila Zahra Elissa Dwi Lestari, Elissa Dwi Evelin Johan, Monika Fachry Abda El Rahman Faza, Ahmad Fernandi Wijaya, Santo Hadikin, Valdy Beniah Hakim, Fayed Abdul Halim, Frans Ati Hari Santoso Johan, Monika Evelin Jonathan Kurniasari, Florentina Lala, Yohanes Brian Caesaryano Lukito, Axcel Melvin, Melvin Mubarak, Akhmad Zainal Noveriyanti, Dea Nugroho, Antonius Sony Eko Ramadhan, Glenn Ramadhan, Muhammad Chezar Raphael, Axel Lionel Rian Ririn Ikana Desanti Sanjaya, Samuel Ady Santo Fernandi Wijaya Setiadi, Robben Sobiyanto, Sobiyanto Sony E N, Antonius Subianto, Tan Andreas Dwi Pratama Sugara, Victor Ilyas Suryasari Sutomo, Rudi Tan, Dasmond Tandika, Idris Wella Wibowo, Jonathan Juliano Wijaya, Matthew Chandra Yang, Angelina