Majalah Ilmiah METHODA

Transformasi Digital dalam Pengelolaan Aset Pemerintah pada Badan Keuangan dan Aset Daerah Kabupaten Takalar

Nasir Nasir — 2026-05-30

Local government asset management is an important aspect in realizing accountable and transparent governance. However, in practice, asset management still faces various problems, such as administrative disorder, inaccurate data, and weak supervision. Along with the development of information technology, digital transformation is seen as a strategic solution to improve the quality of government asset management. This research aims to examine the implementation of digital transformation in government asset management at the Takalar Regency Regional Finance and Assets Agency and identify supporting and inhibiting factors in its implementation. This study uses a qualitative approach with a case study method. Data collection techniques were carried out through in-depth interviews, observations, and documentation studies. The results of the study show that the implementation of the regional asset management information system has improved administrative order, the quality of asset data, and the transparency and accountability of local government asset management. However, the implementation of digital transformation is not fully optimal because it is still faced with limited human resource competencies, work culture adaptation, and technology infrastructure support. Therefore, continuous efforts are needed to strengthen the capacity of apparatus, internal policies, and infrastructure to optimize the benefits of digital transformation in the management of local government assets.

Optimalisasi Splitting Data untuk Kinerja Robust Model EfficientNetV2-B0 pada Deteksi Pneumonia

Syanti Irviantina — 2026-05-30

The splitting of datasets constitutes a fundamental yet frequently overlooked methodological decision in deep learning research for medical image classification. This study investigates the impact of various data splitting scenarios on the robust performance of the EfficientNetV2-B0 model in pneumonia detection using chest X-ray images. Using the Kaggle Chest X-ray Pneumonia dataset, seven experimental scenarios were designed encompassing differences in train-validation-test allocation ratios (70/15/15, 70/10/20, 80/10/10, 85/15, 70/30), partition strategies (stratified vs. random), and validation methods (holdout vs. 5-fold stratified cross-validation). The results demonstrate that 5-fold stratified cross-validation produces the most stable performance estimates with the lowest variance (Accuracy: 97.4%±0.3%, AUC: 0.993±0.002), whereas random partition without stratification yields significantly inferior results (Accuracy: 95.1%, AUC: 0.973). Among the holdout scenarios, the 70/15/15 stratified ratio achieved the best performance (Accuracy: 97.2%, AUC: 0.991). Statistical analysis confirms significant differences between stratified and non-stratified scenarios (p < 0.05). These findings provide empirical guidance for researchers in designing more valid and replicable machine learning experiments in the medical domain.

Tanggung Jawab Sosial Profesi Sistem Informasi

Hendra Maulana — 2026-07-02

The information systems profession holds a highly strategic role amid the ongoing digital transformation that shows no sign of slowing down. Every line of code written, every system designed, and every data policy decided by professionals in this field has the potential to directly touch the lives of millions. Yet behind this great authority, questions about the extent to which social responsibility is genuinely practiced remain frequently overlooked in both academic discourse and real-world practice. This study aims to systematically examine how social responsibility is understood and realized by information systems professionals while identifying the professional ethics values that underpin it in the digital age. The method employed is a Systematic Literature Review (SLR), analyzing 12 selected scientific articles published between 2021 and 2025 from various accredited journals. The study formulates a new conceptual framework named the TSR-SI Framework (Tanggung Jawab Sosial Profesi Sistem Informasi), consisting of three main pillars: Data Responsibility, Technology Equity, and Ethical Innovation. The review finds that the most significant gap in existing research is the lack of integration among these three dimensions within a single coherent framework, particularly in the context of the Personal Data Protection Law (UU PDP No. 27/2022) and the increasingly massive adoption of artificial intelligence in Indonesia.

Hubungan Jenis Kelamin dan Usia dengan Kejadian Faringitis Akut di Puskesmas Tanjung Rejo Tahun 2025

Jerry Tobing — 2026-07-09

Acute respiratory tract infection (ARI) is one of the health problems frequently found in primary health care facilities. Pharyngitis is included in the group of ARI that frequently occurs, both in children and adults. Age and gender factors are thought to play a role in the variation of pharyngitis incidence compared to non-pharyngitis ARI. To determine the relationship between age and gender and the incidence of pharyngitis compared to non-pharyngitis ARI at Tanjung Rejo Health Center in 2025. This study used an analytical design with a cross-sectional approach. The study population was all patients with a diagnosis of ARI based on medical records at Tanjung Rejo Health Center in 2025, totaling 483 patients. Samples were taken using al simple random sampling technique with the Slovin formula, resulting in a sample size of 219 respondents. Data were analyzed using the chi-square statistical test (p<0.05). The results of the study showed that there was a relationship between age and the incidence of pharyngitis and non-pharyngitis ARI (p value = 0.004), and there was no significant relationship between gender and the incidence of pharyngitis and non-pharyngitis ARI (p value = 0.359). There was a significant relationship between age and the incidence of pharyngitis compared to non-pharyngitis ARI, but there was no significant relationship between gender and the incidence of pharyngitis compared to non-pharyngitis ARI at Tanjung Rejo Health Center in 2025.

Prevenient Grace (Anugerah Pendahulu) Sebagai Teras Keselamatan dalam Doktrin Keselamatan John Wesley

Manimpan Hutasoit — 2026-07-09

The doctrine of Prevenient Grace (Anugerah Pendahulu) is one of the distinctive features of John Wesley’s soteriology, affirming that the initiative of salvation originates entirely from God. This grace operates antecedently in every person, awakening an awareness of sin, restoring the capacity to respond to God’s call, and opening the way to repentance, justification, and sanctification. This study aims to analyze Prevenient Grace as the core of salvation in John Wesley’s doctrine of salvation. The research employs a qualitative method with a library-study approach to Wesley’s primary works and the literature on Wesleyan theology. The findings indicate that Prevenient Grace constitutes the foundation of the entire salvific process, insofar as God’s grace precedes every human response without removing the human freedom to accept or reject it. The doctrine thus underscores a balance between divine sovereignty and human responsibility.