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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Electronics, Electromedical Engineering, and Medical Informatics
Reza Faisal, Mohammad
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Implementation of SMOTE and whale optimization algorithm on breast cancer classification using backpropagation Erlianita, Noor; Itqan Mazdadi, Muhammad; Saragih, Triando Hamonangan; Reza Faisal, Mohammad; Muliadi
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 4 (2023): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i4.334

Abstract

Breast cancer, which is characterized by uncontrolled cell growth, is the primary cause of mortality among women worldwide. The unchecked proliferation of cells leads to the formation of a mass or tumor. Generally, the absence of timely and efficient treatment contributes to this phenomenon. To prevent breast cancer, one of the strategies involves the classification of malignant and non-malignant types. For this particular investigation, the Breast Cancer Wisconsin dataset (original) comprising 699 instances with 11 classes and 1 target attribute was utilized. Synthetic Minority Oversampling (SMOTE) was employed to balance the dataset, with the Backpropagation classification algorithm and the Whale Optimization Algorithm (WOA) serving as optimization techniques. The main objectives of this study were to analyze the impact of the backpropagation method and SMOTE, examine the effect of the backpropagation method in conjunction with WOA, and assess the outcome of using the backpropagation method and SMOTE after incorporating WOA. The evaluation of the study's findings was performed using a confusion matrix and the Area Under the Curve (AUC) metric. The research outcomes based on the application of backpropagation yielded an accuracy rate of 96%, precision of 94%, recall of 95%, and an AUC of 96%. Subsequently, upon implementing SMOTE and WOA, the performance of the backpropagation method improved, resulting in an accuracy rate of 99%, precision of 97%, recall of 97%, and an AUC of 98%. This notable enhancement in performance suggests that the utilization of SMOTE and WOA effectively enhances accuracy. However, it is important to note that the observed improvements are relatively modest in nature.
A Comparative Analysis of Polynomial-fit-SMOTE Variations with Tree-Based Classifiers on Software Defect Prediction Nur Hidayatullah, Wildan; Herteno, Rudy; Reza Faisal, Mohammad; Adi Nugroho, Radityo; Wahyu Saputro, Setyo; Akhtar, Zarif Bin
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 3 (2024): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i3.455

Abstract

Software defects present a significant challenge to the reliability of software systems, often resulting in substantial economic losses. This study examines the efficacy of polynomial-fit SMOTE (pf-SMOTE) variants in combination with tree-based classifiers for software defect prediction, utilising the NASA Metrics Data Program (MDP) dataset. The research methodology involves partitioning the dataset into training and test subsets, applying pf-SMOTE oversampling, and evaluating classification performance using Decision Trees, Random Forests, and Extra Trees. Findings indicate that the combination of pf-SMOTE-star oversampling with Extra Tree classification achieves the highest average accuracy (90.91%) and AUC (95.67%) across 12 NASA MDP datasets. This demonstrates the potential of pf-SMOTE variants to enhance classification effectiveness. However, it is important to note that caution is warranted regarding potential biases introduced by synthetic data. These findings represent a significant advancement over previous research endeavors, underscoring the critical role of meticulous algorithm selection and dataset characteristics in optimizing classification outcomes. Noteworthy implications include advancements in software reliability and decision support for software project management. Future research may delve into synergies between pf-SMOTE variants and alternative classification methods, as well as explore the integration of hyperparameter tuning to further refine classification performance.
Evaluasi Usability Sistem Informasi Manajemen Kepegawaian Kalimantan Selatan Berdasarkan ISO 9241-11 Maulana, Syarif; Saputro, Setyo Wahyu; Abadi, Friska; Turianto Nugrahadi, Dodon; Reza Faisal, Mohammad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 3: Juni 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026133

Abstract

Penelitian ini menyajikan evaluasi usability secara komprehensif terhadap Sistem Informasi Manajemen Kepegawaian (SIMPEG) Provinsi Kalimantan Selatan berdasarkan kerangka ISO 9241-11. Evaluasi dilakukan dengan mengintegrasikan Performance Measurement, System Usability Scale (SUS), dan Retrospective Think-Aloud (RTA) untuk menilai efektivitas, efisiensi, dan kepuasan pengguna. Sebanyak 25 partisipan menyelesaikan tujuh skenario tugas yang merepresentasikan fungsi utama sistem. Hasil pengujian menunjukkan tingkat Task Completion Rate sebesar 96% dan Overall Relative Efficiency sebesar 91%, yang mengindikasikan efektivitas dan efisiensi sistem yang tinggi. Skor rata-rata SUS sebesar 79,7 menempatkan sistem pada kategori “baik” dengan tingkat akseptabilitas “dapat diterima”. Analisis inferensial menggunakan uji korelasi Spearman menun-jukkan tidak terdapat hubungan signifikan antara efisiensi objektif dan kepuasan subjektif (r = 0,129; p = 0,538), yang mengindikasikan bahwa dimensi usability dapat bersifat independen dalam konteks sistem pemerintahan. Uji Friedman menunjukkan adanya perbedaan signifikan waktu penyelesaian antar skenario tugas (χ²(6) = 141,071; p < 0,001), yang mengidentifikasi adanya bottleneck usability pada modul tertentu. Temuan kualitatif dari RTA memperkuat hasil kuantitatif dengan mengungkap kendala pada aspek kemudahan belajar, konsistensi navigasi, dan integrasi fitur. Penelitian ini memberikan kontribusi melalui integrasi analisis deskriptif dan inferensial dalam evaluasi usability sistem pemerintahan sebagai baseline pengembangan sistem selanjutnya.   Abstract   This study presents a comprehensive usability evaluation of the Civil Service Management Information System (SIMPEG) of South Kalimantan Province, based on the ISO 9241-11 framework. The evaluation integrates Performance Measurement, the System Usability Scale (SUS), and the Retrospective Think-Aloud (RTA) protocol to assess the system's effectiveness, efficiency, and user satisfaction. A total of 25 participants completed seven task scenarios representing the system’s core functions. The testing results showed a Task Completion Rate of 96% and an Overall Relative Efficiency of 91%, indicating high levels of effectiveness and efficiency. The average SUS score of 79.7 places the system in the “Good” category with an “Acceptable” level of usability. Inferential analysis using Spearman’s correlation test revealed no significant relationship between objective efficiency and subjective satisfaction (r = 0.129; p = 0.538), suggesting that usability dimensions may be independent in the context of government systems. The Friedman test indicated a significant difference in task completion times across scenarios (χ²(6) = 141.071; p < 0.001), identifying specific modules as usability bottlenecks. Qualitative findings from the RTA supported the quantitative results by uncovering challenges related to learnability, navigation consistency, and feature integration. This study contributes by integrating descriptive and inferential analysis in the usability evaluation of government systems, serving as a baseline for future system development.
Co-Authors Akhtar, Zarif Bin Dodon Turianto Nugrahadi Erlianita, Noor Friska Abadi Itqan Mazdadi, Muhammad Muliadi Nur Hidayatullah, Wildan Radityo Adi Nugroho Rudy Herteno Saragih, Triando Hamonangan Setyo Wahyu Saputro Syarif Maulana, Syarif