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INDONESIA
SAINTEK
Published by Universitas Pelita Bangsa
ISSN : -     EISSN : 29623545     DOI : 10.37366/SAINTEK
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering
Prosiding Sains dan Teknologi (SAINTEK) merupakan wadah publikasi dari hasil penelitian yang telah dipresentasikan pada Seminar Nasional Sains dan Teknologi (SAINTEK) yang diselenggarakan setiap tahun oleh Fakultas Teknik Universitas Pelita Bangsa. Penelitian yang dipublikasikan bersifat multi-disiplin dalam ruang lingkup Teknik tentang analisa dan implementasi perkembangan teknologi. 
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 452 Documents
 37   38   39   40   41 
Penerapan Metode Rad Pada Implementasi Sistem Informasi Pelayanan Kesehatan Berbasis Website Studi Kasus Klinik Sritina Cikarang Barat Arif Tri Widiyatmoko; Sriyati Asni
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Information systems play an important role in facilitating human work across various sectors, including companies, government agencies, organizations, and healthcare services. In the healthcare sector, particularly in clinics, information systems help manage service processes and administrative tasks more effectively and efficiently. However, patient services at Sritina Clinic are still not optimal, resulting in relatively low service quality. This condition highlights the need to develop a better and more user-friendly system to improve overall performance. The main problem addressed in this study is how to design and build a website-based Clinic Service Information System that can make service activities easier, faster, and more efficient. The system is expected to streamline administrative processes, reduce errors in data management, and improve the quality of patient services. The purpose of this research is to develop a website-based clinic information system that enhances healthcare services for the community in a more practical, quick, and efficient manner. The results show that the developed website can provide essential clinical service information, including patient data, polyclinic data, patient medical records, and polyclinic queue data, thereby supporting improved service quality at Sritina Clinic.
Analisis Sentimen Masyarakat Mengenai Kandidat Calon Presiden 2024 Dari Media Sosial Twitter Menggunakan Metode Naive Bayes Dan Feature Selection Particle Swarm Optimization Asep Arwan Sulaeman; Endrik
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The 2024 Indonesian presidential election represents the realization of people’s sovereignty in selecting leaders who are aspirational, qualified, and responsible for public welfare. Public opinion plays a crucial role in shaping the popularity of each candidate, especially through social media platforms such as Twitter. The large volume of opinions shared online provides valuable data for analyzing public sentiment toward the top three presidential candidates in 2024. This study aims to analyze public sentiment regarding Anies Baswedan, Ganjar Pranowo, and Prabowo Subianto using the Naïve Bayes method combined with Feature Selection Particle Swarm Optimization (PSO) to improve classification performance. The evaluation metrics used in this research are Accuracy, Precision, and Recall to measure the effectiveness of the sentiment classification model. The results show varying performance across the three datasets. For Anies Baswedan, the model achieved an accuracy of 63.02%, recall of 65.13%, and precision of 64.61%. For Ganjar Pranowo, the highest performance was obtained with an accuracy of 87.14%, recall of 87.46%, and precision of 85.43%. Meanwhile, Prabowo Subianto’s dataset resulted in an accuracy of 83.17%, recall of 83.17%, and precision of 84.17%. Overall, the method demonstrated the best performance on Ganjar Pranowo’s dataset.
Sistem Informasi Pengajuan Cuti Karyawan Pada Pt.Tass Engginering Berbasis Website Donny Maulana; Emilda Yulian Sari
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The rapid development of information technology encourages companies to implement web-based information systems to improve the effectiveness and efficiency of data management. PT Tass Engineering still manages employee leave requests manually using paper forms and simple office applications, which often leads to recording errors, delays in approval processes, and potential data loss. This study aims to design and develop a web-based Employee Leave Management Information System that facilitates the submission, approval, and management of leave data in an integrated manner. The research method uses structured interviews to identify system requirements, while the system development applies the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. The system is modeled using Unified Modeling Language (UML) and implemented using PHP as the programming language and MySQL as the database, running on a XAMPP environment. System testing is conducted using the Black Box Testing method to ensure that each function operates according to the specified requirements. The results indicate that key features, including login authentication, leave submission, employee data management, approval processes, and report generation, function properly and meet user needs. The developed system improves administrative efficiency, minimizes human error, and ensures centralized and secure data storage within the database.
Sistem Pakar Diagnosa Kerusakan Komputer Dengan Metode Case Based Reasoning Pada Toko Click Komputer Karawang Edy Widodo; Anisa Devi Asmara
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Computer technicians often require a significant amount of time to diagnose computer damage, and in many cases, the process is delayed while they determine the appropriate solution. To address this issue, an expert system can be developed to provide faster and more accurate diagnoses of computer problems. This study applies the Case Based Reasoning (CBR) method, an artificial intelligence approach that solves new problems by referring to solutions from previous similar cases. By comparing current symptoms with stored cases in the system, appropriate recommendations can be generated efficiently. The system is developed using the PHP programming language, while MySQL is utilized as the database for storing case data and solutions. Through this implementation, the expert system is expected to assist technicians in identifying types of computer damage quickly, precisely, and accurately. As a result, it can reduce diagnostic time, improve work efficiency, and support technicians in delivering proper handling and effective solutions for computer-related issues.
Identifikasi Kanker Payudara Dengan Pendekatan Algoritma Support Vector Machine Eko Budiarto; Mega Sholihat
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Breast cancer is a malignant tumor that develops in breast cells and is one of the leading causes of cancer-related deaths in Indonesia, with the highest number of patients among all cancer types. According to Globocan 2020, there were 68,858 new cases of breast cancer, representing 16.6% of 396,914 total new cancer cases in the country. The number of cases continues to rise, with 1,194 cases reported in 2021 and 1,427 cases in 2022. The increasing incidence and high mortality highlight the need for accurate early detection and classification methods. This study investigates the use of the Support Vector Machine (SVM) algorithm for classifying breast cancer. SVM was chosen due to its effectiveness in handling high-dimensional data and providing clear separation between classes. The model was evaluated using accuracy, precision, and recall metrics. The results show that SVM achieved 98% accuracy, 100% precision, and 95% recall, demonstrating strong performance in classifying breast cancer cases, minimizing false positives, and detecting the majority of positive cases. These findings indicate that SVM is a reliable method for breast cancer classification and can support medical diagnosis, facilitate early detection, and potentially reduce mortality rates. Furthermore, this approach provides a basis for developing machine learning-based clinical decision support systems in healthcare.
Analisis Pengelompokan Data Nilai Siswa Untuk Menentukan Siswa Berprestasi Menggunakan Metode Clustering K-Means Elkin Rilvani; Monika Pakpahan
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Today’s education sector is required to remain competitive by maximizing all available resources. High student success rates and low failure rates reflect the quality of education. However, determining student achievement levels—categorized as low, sufficient, or high—often becomes a challenge. To address this issue, data mining can be applied as a method for analyzing data and identifying patterns within large datasets. One important technique in data mining is clustering, which groups data into clusters based on similarity. Data within the same cluster have high similarity, while data between clusters have low similarity. A commonly used clustering method is the K-Means algorithm. K-Means is a non-hierarchical clustering technique that partitions data into one or more clusters based on shared characteristics, grouping similar objects together and separating those with different characteristics. In analyzing student achievement, the attributes used include student names and subject grades. The grouping process applies Euclidean Distance to measure similarity between data points. By implementing clustering with the K-Means algorithm, student achievement levels can be classified into low, sufficient, and high categories, thereby supporting more effective and targeted teaching and learning processes.
Implementasi Metode Forward Chaining Untuk Mendiagnosa Penyakit Tumor Otak Isarianto; Melinda Indriani
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Expert systems can assist people in conducting early disease diagnosis by simulating expert knowledge in answering questions and providing solutions. This web-based application enables users to obtain analysis results regarding appropriate treatment and necessary medical actions based on their symptoms. At Central Medika Hospital, consultations are limited to specific doctor practice hours and involve relatively high fees. As a result, patients experiencing symptoms such as severe headaches resembling brain tumor indications outside practice hours must wait for examination, potentially delaying treatment. To address this issue, a brain tumor diagnostic expert system was developed using a rule-based approach with the Forward Chaining algorithm. The system was built using the Waterfall development method, with MySQL as the database and PHP and HTML as the programming languages. The research involved two types of testing: functional testing using Black-box testing and accuracy testing of the Forward Chaining calculations. The results showed that the system functioned very well, and the accuracy test achieved a result of 100%, indicating that the system’s diagnostic conclusions were fully consistent with the predefined rules.
Sistem Informasi Stok Opname Berbasis Web Pada PT. Sanoh Indonesia Suherman; Muhammad Nizar
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Data processing in the warehouse at PT. Sanoh Indonesia is essential to support the flow of incoming and outgoing goods. However, operations are still handled manually. Operators record transactions using paper forms and stock cards, while administrators input data into Microsoft Excel without an integrated database. This approach causes inefficiencies, particularly when searching for required data, as it takes considerable time due to the high volume of transactions. This study aims to design a web-based warehouse information system to address issues in recording and retrieving data, especially during stock-taking activities. The system is developed using the Waterfall method and utilizes a centralized database to ensure structured and secure data storage. With the proposed system, stock information can be accessed and printed easily, improving control during stock opname. The processes of receiving and requesting goods can be performed directly and more efficiently, eliminating delays between service and data entry. In addition, inventory availability can be monitored accurately, and reports can be generated and printed based on specific time periods. Overall, the system enhances efficiency, accuracy, and control in warehouse management.
Perancangan Sistem Informasi Penggajian Karyawan Berbasis Web Dengan Metode Waterfall (Studi Kasus: PT. Sakura Java Indonesia) Wiyanto; Irfan Hariyadi
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Payroll is a form of remuneration given to employees for their contributions to achieving company goals. At PT. Sakura Java Indonesia, the payroll data processing system is still handled manually. Employee data is recorded in a special book each month, and salary reports are provided using conventional methods. This manual process often leads to data inaccuracies and inconsistencies. In addition, verifying payroll data requires significant time and effort, and data security remains inadequate due to the lack of a computerized system. To address these issues, a web-based payroll information system was designed using the Waterfall development method. The system was developed with PHP as the programming language and MySQL as the database. This proposed system aims to improve accuracy, efficiency, and data security in payroll processing. By digitizing and integrating payroll activities, the company can streamline data input, calculation, and reporting processes. As a result, payroll management becomes more effective, efficient, and reliable in supporting organizational operations.
Sistem Informasi Seleksi Karyawan Berbasis Web Pada PT. Kiyokuni Technologies Irfan Afriantoro; Lestari
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

This study aims to design an employee recruitment information system for PT. Kiyokuni Technologies to address problems in the manual paper-based selection process, including accumulation of applicant files, risk of data loss or damage, lengthy recruitment procedures, and difficulties faced by the HR department in making selection decisions. The research applies the waterfall method and system design using Unified Modeling Language (UML). The result is a proposed employee selection information system design that can serve as a basis for future implementation, expected to improve efficiency, data accuracy, and decision-making effectiveness in the employee recruitment process.

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