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Building a Predictive Model for Chronic Kidney Disease: Integrating KNN and PSO Widodo, Slamet; Brawijaya, Herlambang; Samudi, Samudi
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3282

This study examines the improvement of prediction accuracy for Chronic Kidney Disease (CKD) through the integration of the K-Nearest Neighbors (KNN) method with Particle Swarm Optimization (PSO). Amidst the rising prevalence of CKD, closely related to diabetes and hypertension, early detection of CKD becomes a significant challenge, especially in Indonesia where access to healthcare facilities and public awareness remain limited. This study utilizes the Chronic Kidney Disease dataset from the UCI Machine Learning repository, encompassing 400 patient records with 24 clinical, laboratory, and demographic variables. With the KNN method, this approach classifies data based on feature proximity, while PSO is used for feature selection and parameter optimization, enhancing the model's accuracy and efficiency in identifying CKD at early stages. The findings indicate a significant improvement in prediction accuracy, from 80.00% using KNN to 97.75% after integration with PSO. These results affirm that the combined approach of KNN and PSO holds great potential in improving early detection and management of CKD, paving the way for further research into practical applications in the healthcare field.

Stratified K-fold cross validation optimization on machine learning for prediction Widodo, Slamet; Brawijaya, Herlambang; Samudi, Samudi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11792

Cervical is the second most common malignant tumor in women, with 341,000 deaths worldwide in 2020, almost 80% of which occur in developing countries. One of the causes is infection with Human papillomavirus (HPV) types 16 and 18. The increasing incidence of cervical cancer in Indonesia makes this disease must be treated seriously because it is one of the main causes of death. In addition to the virus, external factors can be one of the causes. The high mortality rate in patients is caused by the patient's awareness of the emergence of cervical cancer which is only seen when it enters the final stage. One of the efforts to reduce the number of sufferers is to implement cervical cancer detection. Early detection of cervical cancer can also be identified by looking at external factors, such as behavioral factors, intentions, attitudes, norms, perceptions, motivations, social support, and empowerment. However, the data used has an imbalance in the distribution of the target class, namely more negative samples than positive ones. To overcome this, a technique called Stratified K-Fold Cross-Validation (SKCV) is used. Evaluation of the accuracy value using the Confusion matrix to determine the performance of each model. The best performance of the five classification algorithms used is 96 percent (RF), 94 percent (LR), 92 percent (XGBoost), 90 percent (KNN), and 88 percent (NB). The results show that the model formed by RF-based SKCV has the highest accuracy of other models.

OPTIMIZATION OF POTATO LEAF DISEASE IDENTIFICATION WITH TRANSFER LEARNING APPROACH USING MOBILENETV1 ARCHITECTURE Brawijaya, Herlambang; Rahmawati, Eva; Haryanto, Toto
Jurnal Pilar Nusa Mandiri Vol. 20 No. 1 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i1.4718

Diseases affecting potato leaves frequently lead to significant setbacks for farmers, reducing the overall harvest and the quality of the potatoes. Given the critical need for prompt disease detection, this research introduces the use of the MobileNet framework grounded in the Convolutional Neural Network (CNN) for adept detection of potato leaf ailments. During the research, potato leaf images undergo processing, and their distinct features are gleaned using CNN. Then, harnessing the MobileNet framework, these images undergo classification to ascertain the existence of diseases. The aspiration is that the formulated model can pinpoint diseases with notable precision, rapid feedback, and enhanced computational adeptness. Initial findings underscore the potential of this methodology in discerning potato leaf diseases, providing renewed optimism for farmers grappling with plant health issues. Experiments using the Transfer Learning approach showed good performance in classification and displayed a high accuracy rate of 99.2%.

Optimalisasi Proses Pembelajaran Sekolah Melalui Implementasi Sistem E-Learning Berbasis Web Untuk Peningkatan Efektivitas Dan Efisiensi Brawijaya, Herlambang; Samudi, Samudi; Widodo, Slamet
Journal of Information System, Applied, Management, Accounting and Research Vol 8 No 4 (2024): JISAMAR (September-November 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v8i4.1620

in the digital era, education faces challenges in improving the effectiveness and efficiency of the learning process. One proposed solution is the implementation of web-based e-learning systems, which allow for flexibility and interactivity in learning. This study aims to develop a web-based e-learning system using the Extreme Programming (XP) method, an iterative and collaborative software development approach that accommodates changes in user requirements quickly. The research stages include needs analysis, design, development, and system testing, conducted iteratively in accordance with XP principles. The results show that the developed e-learning system enhances learning effectiveness by providing more structured, interactive access to learning materials and facilitating better communication between teachers and students. Additionally, efficiency is achieved by reducing operational costs and the time required for distributing materials and assignments. System testing indicates a high level of user satisfaction in terms of both functionality and ease of use. This study contributes to the optimization of the learning process through the implementation of information technology in education.

ALGORITMA K-MEDOIDS UNTUK MENENTUKAN CLUSTERING DATA COVID 19 DI DKI JAKARTA Samudi, Samudi; Widodo, Slamet; Brawijaya, Herlambang
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.380

Technology currently plays a very important role in supporting all information circulating in the community, various things such as conveying information about a developing covid 19 virus, Covid 19 data sets which can currently be opened in open data owned by the DKI provincial government. Jakarta is very helpful for researchers to examine the development of this information. From the available data, the researchers took research on grouping Covid data from data treated, died, self-isolated, and recovered, from a data set of about 28,036 we processed it into 267 testing data. With the K-Medoids Algorithm, researchers conducted research that would be made into several clusters, because this algorithm can approach an object in conducting research. The results of this study were obtained into 3 clusters with 85 items in the zero cluster, 123 items in the first cluster, and 59 items in cluster 2. It can be seen that the results of the study for the healing rate of COVID patients are very much improved which is depicted in the centroid plot view.

Analisis Tingkat Kematangan (Maturty Level) Tata Kelola Teknologi Informasi Menggunakan Framework Cobit 5 Domain MEA Samudi, Samudi; Widodo, Slamet; Brawijaya, Herlambang
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 2 (2025): JISAMAR (March-May 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i2.1805

Penggunaan teknologi informasi sangat berguna untuk mengelolah dan memproses suatu data dan untuk meningkatkan kefisiensi dan keefektivitas dalam menyampaikan informasi yang ada organisasi salah satunya yang terdapat di masjid. Untuk memberikan kualitas informasi yang baik dan berguna diperlukan untuk menganalisa Teknologi Informasi yang sudah berjalan salah satunya dengan menggunakan Framework Cobit 5. Framework Cobit 5 ini sangat tepat jika digunakan untuk mengukur tingkat kapabilitas dan tingkat kematangan dengan menggunakan domain MEA dalam proses pembelian barang dengan menggunakan domain MEA (Monitoring, Evaluation and Assess). Domain MEA01 untuk memantau, mengevaluasi dan menilai kinerja dan kesesuaian. Domain MEA02 untuk mengidentifikasi kekurangan teknologi informasi dan untuk melakukan segera perbaikan dan merencanakan ataupun mengatur dan memelihara standar untuk kegiatan internal. MEA03 untuk proses untuk mengamati, memeriksa, atau mengawasi, kegiatan, sacara terus-menerus untuk memastikan bahwa dalam teknologi informasi yang digunakan berjalan sesuai dengan rencana atau untuk mengetahui masalah yang mungkin akan tampil. Hasil dari penilaian ketercapaian dan kapabilitas pada domain MEA01 sebesar 2,83, MEA02 sebesar 1,55, MEA03 sebesar 2,63.

Rancang Bangun Sistem Pendaftaran Webinar dan E-Certificate Otomatis Rahmawati, Eva; Brawijaya, Herlambang; Hertyana, Hylenarti
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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

In a world increasingly connected digitally, webinars have become a crucial tool for education, training, and information exchange. Along with the rapid growth in the use of webinars, there are often shortcomings in the registration process and distribution of e-certificates, which are inefficient and unsatisfactory. The main issue is the time and human resources required in this process, increasing the risk of errors. Thus, there arises a need for an effective system to manage registration and e-certificate distribution. The automated webinar registration and e-certificate system offer an efficient solution to meet these needs, with the primary goal of maximizing ease of use and operational effectiveness. This system is designed for the automation of the registration process, participant validation, and the creation and distribution of e-certificates, all aimed at enhancing user experience and reducing administrative workload. The development of this system is carried out using the Extreme Programming (XP) method. XP was chosen for its ability to handle changes in needs quickly and efficiently, and its focus on technical quality and customer satisfaction. With a focus on user needs and rapid adaptation to feedback, this system is expected to improve operational efficiency, reduce manual errors, and enhance user satisfaction.

Rancang Bangun Sistem Pendaftaran Webinar dan E-Certificate Otomatis Rahmawati, Eva; Brawijaya, Herlambang; Hertyana, Hylenarti
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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

In a world increasingly connected digitally, webinars have become a crucial tool for education, training, and information exchange. Along with the rapid growth in the use of webinars, there are often shortcomings in the registration process and distribution of e-certificates, which are inefficient and unsatisfactory. The main issue is the time and human resources required in this process, increasing the risk of errors. Thus, there arises a need for an effective system to manage registration and e-certificate distribution. The automated webinar registration and e-certificate system offer an efficient solution to meet these needs, with the primary goal of maximizing ease of use and operational effectiveness. This system is designed for the automation of the registration process, participant validation, and the creation and distribution of e-certificates, all aimed at enhancing user experience and reducing administrative workload. The development of this system is carried out using the Extreme Programming (XP) method. XP was chosen for its ability to handle changes in needs quickly and efficiently, and its focus on technical quality and customer satisfaction. With a focus on user needs and rapid adaptation to feedback, this system is expected to improve operational efficiency, reduce manual errors, and enhance user satisfaction.

Optimalisasi Presensi Sekolah Berbasis QR Code dengan Metode Rapid Application Development Rahmawati, Eva; Brawijaya, Herlambang; Andriansyah, Doni; Mufida, Elly
Computer Science (CO-SCIENCE) Vol. 5 No. 2 (2025): Juli 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v5i2.8505

High School attendance systems play an important role in monitoring student attendance and enforcing discipline in the academic environment. However, many schools still use manual methods such as written attendance lists or teacher name calling, which are inefficient, time-consuming, and prone to manipulation and fraud. These methods present challenges for teachers and administrative staff, leading to inaccurate recording, data loss, and falsification of attendance. To address these issues, this study proposes the development of a QR Code-based school attendance system using the Rapid Application Development (RAD) methodology. RAD was chosen because of its ability to produce prototypes quickly and allow for iterative system improvements according to user needs. The proposed system allows students to scan a unique QR Code to automatically record their attendance, thereby reducing human intervention and minimizing errors. The expected outcomes of this study include increased accuracy, efficiency, and security in recording student attendance. The RAD approach is predicted to accelerate the development process without sacrificing ease of use and system reliability. In addition, this system is expected to be able to prevent fraud in attendance, because QR Code-based authentication provides a more secure validation mechanism. Through a series of trials and evaluations, this study aims to prove that the integration of RAD with QR Code technology can improve the effectiveness of attendance recording compared to conventional methods. Based on the results of the trials and evaluations, it can be concluded that the QR Code-based attendance system with the RAD approach has been proven to improve the efficiency, accuracy, and security of the attendance system in schools.

Pengembangan Sistem Informasi Keuangan Sekolah Berbasis Web dengan Model Rapid Application Development Brawijaya, Herlambang; Rahmawati, Eva
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i2.9731

Pengelolaan keuangan sekolah yang efektif penting untuk menjaga transparansi dan akuntabilitas penggunaan dana. Banyak sekolah, khususnya tingkat SMP, masih menggunakan pencatatan manual sehingga rentan terhadap kesalahan, keterlambatan laporan, dan sulit memantau arus kas secara real-time. Penelitian ini bertujuan merancang Sistem Informasi Pengelolaan Keuangan Berbasis Web guna membantu pencatatan pemasukan, pengeluaran, dan pembuatan laporan secara cepat dan akurat. Metode pengembangan yang digunakan adalah Rapid Application Development (RAD) melalui tahapan requirements planning, user design, constructuon, dan cutover. Hasil pengujian menunjukkan sistem mampu mengelola data keuangan dengan baik dan menghasilkan laporan otomatis, serta memudahkan akses informasi bagi bendahara dan kepala sekolah. Kesimpulannya, metode RAD dapat mempercepat pengembangan dan menghasilkan aplikasi yang sesuai kebutuhan pengguna.

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