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All Journal International Conference on Engineering and Technology Development (ICETD) Sistemasi: Jurnal Sistem Informasi Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Pengabdian kepada Masyarakat Nusantara Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistim Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis SAINTEK
Dendy K. Pramudito
Universitas Pelita Bangsa
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Development of an Integrated Web-Based Quality Control Dashboard for Automated Sorting Data Monitoring Yusmadi, Yudies; Pramudito, Dendy K; Muhidin, Asep
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1268

Abstract

This study supports the development of a web-based Quality Control (QC) dashboard designed to improve the monitoring of product sorting data in manufacturing process. The impetus comes from the fact that traditional methods of capturing data by hand are very likely to be incorrect, slow, and cause problems with managing data. Currently, sorting results are still written down on physical log sheets which often leads to delays in reporting, puts records at risk of being lost or destroyed, and makes it harder to analyze data in real time. The study uses the Agile Development method to fix these problems, with a focus on iterative design, getting input from stakeholders, and making improvements all the time. The proposed dashboard will include several basic features, such as the ability to enter sorting results digitally, interactive data visualization in both graphical and tabular formats, automatic quality control report generation, and user management through role-based access control. These features are expected to turn data into useful information, which will allow the QC team to quickly make decisions based on evidence that enhance product quality. Web programming utilizes modern web technologies such as Laravel framework for backend processing, JavaScript, HTML, CSS, and Bootstrap to make responsive the user interface. Utilization of open-source technologies is meant to ensure that the system may grow and be maintained while keeping installation costs low.
A Cross-Platform Payroll Information System for SMEs: An Agile-Scrum Approach at CV. Gema Syifa Engineering Huda, Muhamad Fatchul; Pramudito, Dendy K; Pradini, Purnama Sakhrial
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 4 (December 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i4.1332

Abstract

This study focuses on constructing an integrated payroll application utilizing web and Android platforms at CV Gema Syifa Engineering through the implementation of Agile Scrum methodology. The primary challenge motivating this research involves the company's reliance on a semi-automated compensation mechanism that necessitates manual information entry via spreadsheet documents and data storage in fragmented directories. This situation generates various operational obstacles including time wastage during payroll data insertion, elevated frequency of data validity errors, restricted information access, and complexity in remuneration computation procedures. Furthermore, the absence of system integration results in sluggish wage calculation execution, inconsistent computational outcomes, and questionable data credibility. The research approach adopts the Agile Scrum framework which facilitates adaptive and cyclical software development processes through sprint iterations. System architecture is designed by applying Unified Modeling Language (UML) notation encompassing use case representations, activity flow diagrams, interaction sequence diagrams, and database structures normalized to the third stage (3NF).Implementation outputs demonstrate that the constructed solution successfully accommodates comprehensive integration of the entire payroll workflow, spanning from personnel information administration, attendance documentation, overtime computation, to automated generation of compensation calculations and salary slip documents. The application provides layered access segregation: administrators possess full privileges for system configuration, while employees can access their personal remuneration information and attendance records. Security protection mechanisms are implemented through two-factor authentication (2FA) for administrators and automatic account locking systems following three unsuccessful login attempts. System verification through Blackbox testing approach confirms that all functionalities operate according to design parameters. This implementation proves to optimize efficiency and precision in payroll data management, minimize computational errors, and provide superior accessibility for HR divisions and workforce. The system is projected to support enhanced operational performance and human resource satisfaction at CV Gema Syifa Engineering.
The Soil Moisture Monitoring Utilize IoT System To Improve Urban Farming Productivity and Enhance Food Security Mukhamad Kasendra; Dendy K Pramudito; Dedi Afandi
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.609

Abstract

Farming or planting is part of human efforts to meet food needs, but along the time agricultural land is decreasing where one of the causes is due to infrastructure development, such as road construction, office buildings and others, so that the threat of a food crisis has arisen. A new agricultural method or technique emerged by utilizing existing land such as home yards as a substitute for rice fields called urban farming or urban agriculture, where this agriculture technique is not only conducted in rural areas but also can be implemented in urban areas. Of course it is a good initiative, as one of the actions in dealing with the threat of a food crisis due to reduced agricultural land. However, during implementation, urban farmers find technical obstacles such as in monitoring or controlling soil conditions and with time limitation. With the improvement or innovation of technology and the availability of the internet, this should be able to solve the problem, considering that these two things have not yet utilized properly in terms of agricultural activities, such as the use of the internet by farmers which is generally used for communicating. One technology that can be used and solved that problem is the Internet of Things (IoT). IoT can be utilized in monitoring the humidity of the soil via smartphones in real time. So, the obstacles that arise can be resolved by utilizing IoT and of course for the future this technology can be developed according to the needs.
IoT-Enabled Smart Home Energy Monitoring System Using Web Server-Based Control Logic Tubagus Luthfi Almas’ud; Dendy K Pramudito; Aceng Badruzzaman
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.611

Abstract

In this era of development, applications for Controlling and monitoring household devices remotely are increasingly becoming a major concern. In this context, this research aims to implement an IoT-based Smarthome Control and monitoring system using ESP32 as a sensor node and WEB SERVER. The ESP32 was chosen for its strong Wi-Fi capabilities and sufficient Processing capabilities. The proposed system allows users to Control and monitor home appliances through an intuitive web Interface, which can be accessed from any device connected to the internet. The research methodology includes the system design, implementation and testing stages. System design involves selecting hardware and software components that suit system requirements. Implementation is carried out by building ESP32-based hardware and developing a WEB SERVER to communicate with the device. Tests were carried out to verify system functionality and measure performance in Controlling and Monitoring Smarthome. Test results show that the proposed system is able to Control home equipment well and provide accurate monitoring of device conditions. Integration with a WEB SERVER allows users to access the system remotely and provides ease of use. In addition, the use of ESP32 as a sensor node provides flexibility in developing IoT systems. This research contributes to the development of IoT applications in the context of Smart Homes and energy management. The developed system can help improve energy efficiency and provide greater comfort for users in Controlling household devices. Apart from that, this research also opens up opportunities for further development in the field of IoT and related technologies.
Improving Retail Operational Efficiency Through an Intuitive Web-Based Point of Sales Information System: A Case Study at Ternak Express Rinaldy Hudan Permana; Dendy K Pramudito; Asep Arwan Sulaeman
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.612

Abstract

The advancement of information technology has significantly impacted various sectors, including the fields of economics and business. One sector experiencing this transformation is livestock enterprises, such as Ternak Express, a business focused on providing animals as sacrificial (Qurban) and Aqiqah services. Currently, Ternak Express manages product and livestock data manually, a method that is prone to errors and can lead to data inconsistencies and potential financial losses for the business owner. To address this issue, this study aims to develop a web-based Point of Sale (POS) information system to support business operations more effectively and efficiently. The system is designed to manage sales transactions, product data, and customer information and generate business reports in a structured and automated manner. The development process uses the Laravel framework and applies the Waterfall model as the methodological approach. This research results in a web-accessible POS system that helps Ternak Express reduce data entry errors, streamline transaction processes, and improve the accuracy of business data management. With the implementation of this system, business operations are expected to become more integrated and professional, thereby supporting the company's growth and long-term development.
Precision Medicine Through Support Vector Machines Analyzing Patient Data for Improved Drug Classification Nanda Rosma Anwar; Dendy K Pramudito; Muhammad Makmun Effendi
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.627

Abstract

Selecting the appropriate medication is crucial for ensuring optimal therapeutic outcomes and minimizing adverse effects for patients. Healthcare personnel are managing an increasing volume of medical data in the digital era. Identifying swift, precise, and dependable methods for recommending appropriate medications is becoming essential. This study aims to meet this criterion by classifying drugs into appropriate categories for patient care using the Support Vector Machine (SVM) technology. The research utilized a dataset from GitHub comprising 200 patient records. These records furnish critical information regarding the patient, including age, sex, blood pressure, cholesterol levels, sodium-to-potassium ratios, and prescriptions. To maximize the use of this data, the method entails several critical steps: selecting appropriate data, meticulously cleaning and organizing it, transforming it for analytical readiness, employing SVM for data mining, and conducting a comprehensive review. The dataset is divided into two segments which are 20% is allocated for testing the efficacy of the SVM model, while the remaining 80% is designated for training the model.The primary tool for constructing the SVM model is the Google Colaboratory platform, which utilizes Python. A confusion matrix is employed to meticulously evaluate the performance of a model. It provides valuable metrics such as accuracy, precision, recall, and the F1 score. The evaluation method indicates that the SVM model holds significant potential for systematically assessing patient data due to its capability to appropriately categorize various drug types. This discovery represents a significant advancement for AI in healthcare, as it facilitates the prompt and straightforward recommendation of individualized medicines by physicians.
Agile-Based Development of a Web-Based Point-of-Sale System Using Scrum to Improve Operational Efficiency Muhammad Aldyansyah; Dendy K Pramudito; Sifa Fauziah
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1437

Abstract

CV Berkah Abadi is a digital printing company that predominantly operates through manual processes to complete sales transactions and track inventory. This dependence often leads to mistakes in recording data, delays in reporting, and lack of oversight of inventory levels. This study was done to find a web-based Point of Sales system that could serve as an efficiency and effectiveness tool for sales transactions, inventory control, and report generation. The development process followed Agile Development using the Scrum framework, followed by the system design using Unified Modeling Language. The system was built using PHP and JavaScript programming languages alongside Black Box Testing. According to the research findings, the proposed web-based POS technology is able to successfully track its sales transactions and inventory, automatic sales report creation, and real-time sales and inventory information processing. According to test outcomes, all major functionalities of the system meet user needs. In such way the implemented web-based POS system promotes enhanced efficiency and effectiveness of sales transaction management at CV Berkah Abadi.
Agile-Based Development of a Web-Based Point-of-Sale System Using Scrum to Improve Operational Efficiency Muhammad Aldyansyah; Dendy K Pramudito; Sifa Fauziah
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1437

Abstract

CV Berkah Abadi is a digital printing company that predominantly operates through manual processes to complete sales transactions and track inventory. This dependence often leads to mistakes in recording data, delays in reporting, and lack of oversight of inventory levels. This study was done to find a web-based Point of Sales system that could serve as an efficiency and effectiveness tool for sales transactions, inventory control, and report generation. The development process followed Agile Development using the Scrum framework, followed by the system design using Unified Modeling Language. The system was built using PHP and JavaScript programming languages alongside Black Box Testing. According to the research findings, the proposed web-based POS technology is able to successfully track its sales transactions and inventory, automatic sales report creation, and real-time sales and inventory information processing. According to test outcomes, all major functionalities of the system meet user needs. In such way the implemented web-based POS system promotes enhanced efficiency and effectiveness of sales transaction management at CV Berkah Abadi.
Optimasi Prediksi Diabetes Mellitus Menggunakan Komparasi Random Forest dan SVM dengan Analisis Pemilihan Fitur Berbasis SHAP Aswan Supriyadi Sunge; Dendy K. Pramudito; Abdul Halim Anshor; Edy Widodo
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes Mellitus merupakan masalah kesehatan di dunia yang sangat signifikan maka dari itu dibutuhkan prediksi dini dan akurat. Penelitian ini bertujuan untuk mengoptimalkan prediksi dengan membandingkan model Machine Learning (ML) dengan Random Forest dan Support Vector Machine, yang ditingkatkan dengan analisis SHAP (SHapley Additive exPlanations) untuk mencari fitur tertinggi atau berpengaruh. Penelitian ini menggunakan dataset yang terdiri dari 1000 data pasien dengan 14 fitur, dan 1 kelas. Preprocessing melibatkan pembersihan data dan duplicate, dilanjutkan dengan testing dan training data, dan hasil pengujian dengan model Random Forest mendapatkan akurasi 99%, sementara SVM mencapai 86%, lalu pengujian analisis SHAP mengungkapkan bahwa Age, Urea dan Kreatinin adalah fitur yang paling berpengaruh dari fitur yang lainnya. Hasil analisis perbandingan menunjukkan bahwa mengungguli dalam hal akurasi prediksi secara keseluruhan, dan ini sangat berkontribusi pada peningkatan metode prediksi yang optimal dan sebagai parameter klinis utama untuk diagnosis.
Klasifikasi Penyakit Stroke Menggunakan Algoritma SVM (Support Vector Machine) Dendy K Pramudito; Miftahurridwan
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stroke is a disease caused by a sudden disruption of blood flow to the brain and is one of the leading causes of death in Indonesia. The high mortality rate and delays in early detection make stroke a serious health problem that requires technology-based solutions. Therefore, an approach is needed to support the rapid and accurate classification of stroke disease. This study aims to develop and evaluate a stroke disease classification model using the Support Vector Machine (SVM) algorithm. The dataset used in this study was obtained from the Kaggle platform and consists of 5,110 records with 11 attributes representing stroke risk factors. The research stages include data collection, preprocessing, which consists of data type conversion, feature selection, data cleaning, normalization, and data transformation. To address class imbalance in the dataset, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. Furthermore, the data were partitioned using the 10-Fold Cross Validation method before performing the classification process using the SVM algorithm. Model performance evaluation was conducted using a Confusion Matrix with accuracy, precision, and recall parameters. The experimental results show that the SVM model achieved an average accuracy of 0.79, precision of 0.72, and recall of 0.93. Based on these results, it can be concluded that the Support Vector Machine algorithm demonstrates good performance in classifying stroke disease and has the potential to be used as an effective support system for early stroke detection.
Co-Authors . Suratman Abdul Halim Anshor Aceng Badruzzaman Ade Titin Sumarni Ady Bakri, Asri Afrizal Zein Akbar, Dimas Akbar, Zulfikri Amanda Pratiwi Ananto Tri Sasongko Anggraini, Fransisca Dyah Arief Yanto Rukmana Arijanti, Susi Asep Arwan Sulaeman Asep Suprianto Assery, Syeh Astuti, Enny Diah Aswan Supriyadi Sunge Bakri, Asri Ady Bambang Winardi Br Ginting, Riah Ukur Bunga Aditi Candrasari Hermanto, Diwahana Mutiara Dedi Afandi Dedit Priyono Dedy Irwan Diawati, Prety Edora, Edora Edy Widodo Ferda Ernawan Glisina Dwinoor Rembulan Haribowo, Rio Hermila A Hery Purnomo Huda, Muhamad Fatchul Husaini Indri Yani, Indri Indriani, Anisa Ismail, Andy Judijanto, Loso Karnawi Kamar, Karnawi Kraugusteeliana Kraugusteeliana Kushariyadi Magdalena Miftahurridwan Muhamad Fatchan Muhamad Risal Tawil Muhammad Aldyansyah Muhammad Makmun Effendi Muhammad Zakaria muhidin, asep Muhtajuddin Danny Mukhamad Kasendra Nanda Rosma Anwar Nazaruddin Ahmad Na’am, Jufriadif Noor Komari Pratiwi, Noor Komari Nuryana, Arief Oetomo, Dedy Setyo Pas Mahyu Akhirianto Pitri, Tedi Pradnya Paramita, Catarina Cori Prasetyo, Sutrisno Aji Purnama Sakhrial Pradini Ratna Tungga Dewa, Dominica Maria Reza Riyaldi Irawan Rinaldy Hudan Permana Rini Nuraini, Rini Rizki Suwanda Rudin S.Pettalongi, Sagaf Sayed Achmady Sekianti, Atik Sepria Baresi, Irfan Sifa Fauziah Suherman Tanti Widia Nurdiani Tubagus Luthfi Almas’ud Tubagus, Munir Utami, Eva Yuniarti Wahyu Hadi Kristanto Yusmadi, Yudies