Publication Search

This article examines the moral philosophy of Saint Augustine, focusing on the concept of free will and its implications for human sinful actions. The study aims to provide a philosophical and theological understanding of Augustine’s concept of free will and to analyze its correlation with human acts of sin. Augustine conceives of free will as a rational capacity inherent in human beings, enabling them to make conscious choices. In its essence, this freedom is oriented toward the good. However, due to the fallen condition of humanity, the will becomes disordered and is directed toward things that are lower than the highest good. Therefore, there exists an inherent correlation between free will and sinful action, wherein sin is understood as the manifestation of a misused will. Accordingly, the thought of Saint Augustine of Hippo affirms that free will is an essential gift that enables human beings to make conscious choices, including the choice to commit sin. Free will does not stand apart from moral reality; rather, it serves as the foundation for explaining that sin occurs as a result of the deviation of the human will from the highest good, namely God. Thus, it can be asserted that there is a clear, close, and inseparable correlation between Augustine’s concept of free will and human sinful action.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.

This study aims to analyze a comparison of coal stockpile volumes using the DJI Mavic 3 Pro Unmanned Aerial Vehicle (UAV) method versus the truck count method at PT. Mitra Barito. Data collection was conducted through aerial photography using a UAV at altitudes of 60 meters and 70 meters, as well as Ground Control Point (GCP) measurements using GPS. The aerial imagery data was processed using photogrammetry software to generate orthophotos and a Digital Elevation Model (DEM), followed by a geometric accuracy test based on the Geospatial Information Agency Regulation No. 6 of 2018, using the Circular Error 90% (CE90) and Linear Error 90% (LE90) parameters. The research results show that high-quality processing at an altitude of 60 meters yields a CE90 value of 2.1619 meters and an LE90 value of 4.3656 meters, thereby meeting the accuracy standards for RBI maps at a scale of 1:5,000, Class 3 for horizontal accuracy, and a scale of 1:10,000, Class 3 for vertical accuracy. Volume calculations of the stockpile using UAVs yielded a result of 22,750.900 m³, while the truck count method produced a volume of 23,503.300 m³. The volume difference between the two methods was 753.400 m³, with a deviation percentage of 3.2%. Based on the research results, the UAV method is considered capable of providing relatively accurate calculations of coal stockpile volume.

To address the negative impacts of teenage romantic relationships on peer dynamics and academic achievement at SMP Negeri 5 Sipahutar, school authorities implemented a regulation prohibiting dating, in line with Pancasila character education principles. This study aimed to evaluate the influence of this policy on fostering positive social behavior among ninth-grade students. The research employed a quantitative descriptive approach and involved 81 students as respondents. Data were collected using a four-level multiple-choice agreement questionnaire consisting of ten items. The analysis results showed a total score of 2707, a mean score of 33.42, a standard deviation of 4.8, and an average scale score of 3.34. The findings revealed that 78.2% of students agreed that the regulation encouraged peer cooperation, improved discipline in obeying school rules, and supported effective group learning. In addition, the policy appeared to contribute to a more positive school environment by reducing distractions associated with adolescent dating behavior. These findings indicate that school-based regulations can play an important role in shaping adolescent character and social behavior based on national values. Therefore, such policies may serve as an effective preventive strategy for educational institutions that aim to strengthen character education and promote responsible student conduct.

The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

The book on the City of God and the City of Man is a masterpiece by St. Augustine that is very influential in the history of philosophy and theology. This book contains the background of Augustine's philosophical and theological reflections on the accusation of the destruction of the Roman Empire against Christianity. The City of God described in Augustine's perspective is a city that prioritizes love for God. While the City of Man is a city that reflects self-love. The implications of both types of cities in Augustine's perspective are very relevant to be discussed in the discourse on the concept of statehood. This paper also aims to analyze the relationship between democracy and capitalism in the perspective of Augustine of Hippo's thought, especially through the concept of civitas Dei (City of God) and civitas terrena (World City). This study uses a qualitative method with a library research approach. The results of this study show that democracy and capitalism, although providing space for freedom, are vulnerable to deviations when not guided by the correct moral orientation. In light of Augustine's thought, the crisis in modern democracy such as; Money politics, media manipulation, and anarchic demonstrations reflect the dominance of self-love (amor sui) that characterizes the civitas terrena. Therefore, democracy can only operate fairly if it is rooted in moral values ​​that lead to the common good (Bonum communae).

Blast hole drilling is an initial stage that plays a critical role in determining the success of blasting activities in mining and construction operations. Drilling quality directly affects rock fragmentation, drilling equipment efficiency, drilling equipment productivity, as well as blasting safety and costs. This study aims to analyze the influence of drilling parameters on blast hole quality, including hole diameter, drilling depth, hole inclination, and the suitability of drilling patterns with respect to the planned blasting design. The research methodology involves field observations, actual measurements of drill holes, and analysis of data obtained from drilling and blasting productivity. The results show that deviations in hole depth and direction can lead to irregular distribution of blasting energy, resulting in suboptimal rock fragmentation and an increased potential for flyrock and overbreak. In addition, the selection of appropriate drilling methods and equipment based on rock mass characteristics has been proven to improve productivity and blast hole quality. Therefore, controlling drilling parameters and implementing proper operational procedures are essential to enhance the overall effectiveness and productivity of blasting activities. This study is expected to serve as a reference for the planning and evaluation of blast hole drilling activities to achieve more efficient, safe, and economical operations.

The book on the City of God and the City of Man is a masterpiece by St. Augustine that is very influential in the history of philosophy and theology. This book contains the background of Augustine's philosophical and theological reflections on the accusation of the destruction of the Roman Empire against Christianity. The City of God described in Augustine's perspective is a city that prioritizes love for God. While the City of Man is a city that reflects self-love. The implications of both types of cities in Augustine's perspective are very relevant to be discussed in the discourse on the concept of statehood. This paper also aims to analyze the relationship between democracy and capitalism in the perspective of Augustine of Hippo's thought, especially through the concept of civitas Dei (City of God) and civitas terrena (World City). This study uses a qualitative method with a library research approach. The results of this study show that democracy and capitalism, although providing space for freedom, are vulnerable to deviations when not guided by the correct moral orientation. In light of Augustine's thought, the crisis in modern democracy such as; Money politics, media manipulation, and anarchic demonstrations reflect the dominance of self-love (amor sui) that characterizes the civitas terrena. Therefore, democracy can only operate fairly if it is rooted in moral values ​​that lead to the common good (Bonum communae).

This study aims to analyze the influence of the TikTok application on changes in the lifestyles of teenage girls in the digital age. TikTok, as one of the most popular social media platforms among the younger generation, plays an important role in shaping the way they think, behave, and interact socially. This study uses a qualitative descriptive approach to describe the challenges faced in maintaining a positive lifestyle, as well as efforts to minimize its negative impacts. The results of the study show that TikTok has a dual impact: positively, this platform facilitates self-expression, creativity, and the development of interests; however, negatively, excessive use can trigger consumptive behavior, decreased self-confidence, and deviations from social and cultural values. Factors such as beauty trends, imitation of foreign cultures, and social pressure in the virtual world also influence the lifestyles of adolescent girls. To reduce these negative impacts, it is necessary to improve digital literacy, parental supervision, and education on social media ethics in schools. With a wise approach, TikTok can be used as a positive tool in building the character, creativity, and self-confidence of adolescent girls in the digital age.

Indonesia is in an earthquake-prone region, therefore, designing building constructions that can withstand seismic loads is crucial in civil engineering. Reinforced concrete shear walls are one of the vertical structural fundamentals that are effectively used in multi-story buildings to withstand lateral forces due to earthquake and wind loads. Structures that use shear walls can increase stiffness and reduce horizontal deviations (deflections) of buildings, which contribute to the stability and safety of structures based on the SNI 1726:2019 standard. This study aims to analyze the effect of shear wall configurations on deviation and torsion requirements in multi-story building planning. The study object is a 6-story reinforced concrete building model in a specific earthquake zone. The design and modeling were performed using structural analysis software, taking into account columns, beams, slabs, and shear walls. The analysis results show that optimal placement of shear walls at the building edges significantly reduces horizontal drift, torsion, and shear forces, and improves the structural performance level compared to structures without shear walls or those with less effective placement. Structures with shear walls have optimal stiffness in absorbing lateral forces, making them more resistant to damage from the planned earthquake.

The coal mining industry requires accurate stockpile volume measurements for inventory and production reporting. Conventional methods have limitations in accuracy, efficiency, and safety. This study compares the accuracy and efficiency of coal stockpile volume measurements using a Terrestrial Laser Scanner (TLS) Leica MS60 and an Unmanned Aerial Vehicle (UAV) DJI Matrice 4E, validated by the ASTM D6172-98 standard. Conducted on five Run of Mine (ROM) coal stockpiles covering 13,500 m² at PT XYZ, Lahat, South Sumatra, the TLS method used 43 scan positions, while the UAV employed 430 aerial images with specific flight parameters. Data were processed using Leica Infinity, Surpac, and Agisoft Metashape. The results showed volumes of 94,076 m³ (TLS) and 94,965 m³ (UAV), with a difference of 889 m³ (0.95%). Volume deviations ranged from 0.48% to 1.89%, with an average of 1.42%, all within the ASTM tolerance (<2%). Time efficiency analysis revealed that the UAV method required 200 minutes (3.33 hours), saving 63.3% (approximately 6.17 hours) compared to the TLS method (570 minutes). The largest efficiency gain occurred during field data acquisition, with an 85% reduction in time. This study confirms UAV photogrammetry as a valid, accurate, and efficient alternative for coal stockpile volume measurement in mining.

This study examines the pedagogical transformation of Islamic Religious Education (PAI) teachers in realizing gender-equitable and inclusive learning. Ideal PAI teacher pedagogy encompasses not only content mastery but also pedagogical competence and social sensitivity capable of responding fairly to learner diversity. This study identifies that traditional teacher-centered, rote-oriented pedagogy with minimal gender awareness constitutes a primary barrier to creating equitable learning environments. The required transformation includes developing cooperative learning strategies, eliminating gender bias in classroom interactions, differentiating instruction according to student needs, and using inclusive stereotype-free teaching materials. The theological foundation of Islam affirms that human dignity regardless of gender as emphasized in QS. Al-Hujurat: 13 aligns with inclusivity values in education, making this transformation an authentic manifestation of the rahmatan lil'alamin principle rather than a deviation from Islamic values. Despite ongoing challenges including entrenched patriarchal culture, limited gender literacy, insufficient inclusive teaching materials, and social resistance, this pedagogical transformation carries broad implications for improving learning quality, strengthening tolerance, and enhancing PAI teacher professionalism in Indonesia.

Although cryptographic security is often the main concern in e-voting system development, practical implementation failures are frequently associated with poor user interfaces that increase cognitive load and voting errors. This study evaluates the effectiveness of User-Centered Design (UCD) interventions in improving usability and voter confidence in an e-voting system. A one-group pretest-posttest design was applied to 36 respondents representing novice voters. Usability was measured using the System Usability Scale (SUS) before and after the interface redesign. The intervention focused on visual hierarchy, navigation consistency, status visibility, and error prevention. The results show a statistically significant improvement, with the mean SUS score increasing from 69.10 in the marginal category to 95.76 in the excellent category. The paired sample t-test produced t(35) = -7.3441 with p < 0.0001, while Cohen's d reached 1.2130, indicating a large practical effect. The standard deviation also decreased from 21.98 to 3.09, demonstrating a more consistent user experience. These findings indicate that interface optimization is essential for strengthening accessibility, voting accuracy, and user trust in digital democracy systems.

This study evaluates the management audit of the procurement of goods and services for the 4G Base Transceiver Station (BTS) project managed by BAKTI Kominfo, with a primary focus on compliance with applicable regulations, the effectiveness of internal controls, and deviations at various stages of procurement. A qualitative approach was used, with analysis of documents, official news, and investigative audit findings from BPKP. The results indicate that the project procurement did not comply with Presidential Regulation No. 16 of 2018 and BAKTI Director Regulation No. 7 of 2020, with findings including tender manipulation, weak contract verification, and low levels of transparency. The planning process was also unsupported by adequate feasibility studies, while weak internal oversight exacerbated tender rigging and fund disbursements without proper verification. This study emphasizes the need for improvements in internal oversight, strengthening control mechanisms, and the implementation of e-procurement systems to enhance transparency and accountability in public procurement.

The proliferation of online gambling promotional comments on Indonesian social media has become a serious issue requiring fast and accurate automated handling. This study aims to implement a Hybrid Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) method to classify online gambling comments and compare its performance with standalone RNN and LSTM models. The research utilized a dataset of 10,230 comments subjected to comprehensive preprocessing stages, including the normalization of non-standard language using a slang dictionary. Testing was conducted across three data-splitting scenarios: 90:10, 80:20, and 70:30. Experimental results demonstrate that the standalone LSTM model achieved the highest average accuracy of 97.45%. However, the Hybrid RNN–LSTM model showed significant superiority in terms of performance stability, yielding the lowest standard deviation (0.0027) and the smallest Coefficient of Variation (0.28%) across all scenarios. These findings indicate that while the LSTM architecture is highly effective at capturing short-text context, the Hybrid approach provides better robustness against fluctuations in data proportions, making it highly relevant for implementation as an automated detection system on social media.

Electroencephalography (EEG) signals are highly susceptible to noise and artifacts, which can degrade analysis accuracy, particularly in Autism Spectrum Disorder (ASD) studies. Therefore, effective preprocessing is required to improve signal quality prior to further analysis. This study proposes an integrated EEG preprocessing pipeline that combines a Finite Impulse Response (FIR) band-pass filter (0.5–70 Hz) with notch filtering and detrending, followed by temporal denoising using the Stationary Wavelet Transform (SWT) with the Daubechies 4 mother wavelet and spatial filtering based on SPHARA. This dual-domain approach is designed to address both temporal and spatial noise in multichannel EEG signals. Experimental results demonstrate that the proposed FIR combined with SWT and SPHARA pipeline consistently outperforms single-domain preprocessing methods, achieving a maximum Signal-to-Noise Ratio (SNR) of 31.93 dB. The proposed method also produces the lowest Mean Absolute Error (MAE) (16.81 µV) and Standard Deviation (SD) (0.75 µV), indicating high signal stability with minimal amplitude distortion. Root Mean Square Error (RMSE) values remain stable within the range of 29.5–592.3 µV, with a minimum RMSE of 29.5 µV, demonstrating effective noise suppression while preserving signal energy. These results confirm that integrating temporal and spatial preprocessing significantly improves EEG signal quality and supports more reliable EEG analysis for ASD-related studies.

Public services are a state obligation to meet the basic needs of the community and have a strong legal basis through various laws and regulations in Indonesia. However, in practice, the implementation of public services still faces various problems such as slow service processes, unclear procedures, lack of transparency in costs and service times, and maladministration. This study aims to analyze the gap between the normative concept of public services and their implementation in practice and to identify factors that influence the low quality of public services. The research method used is a qualitative approach with library research through analysis of various literature, laws and regulations, and data from public service supervisory agencies. The results show that the main problems in public services in Indonesia are related to the weak implementation of service standards, low transparency and accountability, and suboptimal professionalism of the apparatus. In addition, maladministration practices such as prolonged delays and procedural deviations are still common. Digital transformation through the implementation of e-government is one effort to improve service quality, although its implementation still faces obstacles in human resources, infrastructure, and bureaucratic culture. Therefore, strengthening public service governance, increasing transparency, and optimizing oversight are necessary to ensure public services are more effective, accountable, and oriented toward the public interest.

Public service is a key indicator in evaluating local government performance; however, various service issues continue to generate increasing public complaints. This study aims to analyze trends in public complaints, identify the most frequently reported institutions, and examine the types of maladministration and the status of complaint resolution through the Ombudsman of the Republic of Indonesia in South Sulawesi Province during 2023–2025. This study offers novelty by providing an integrated analysis of complaint trends, distribution of reported institutions, types of maladministration, and resolution outcomes based on Ombudsman data at the regional level. This research employs a qualitative approach using document analysis, with public complaint reports as the unit of analysis. Data were analyzed through data reduction, data display, and conclusion drawing. The results indicate that local governments are the most frequently reported institutions (55.1%), with dominant maladministration types including procedural deviations and prolonged delays. Several complaints were proven to involve maladministration and were resolved through the Ombudsman’s supervisory mechanism. These findings highlight that public complaints serve as an important instrument in enhancing accountability and transparency in public service delivery. Therefore, local governments need to strengthen service standards, improve the capacity of public officials, and develop more effective complaint management systems.

Ineffective spare part inventory planning may lead to supply delays and reduced compliance with lead time supply key performance indicators (KPIs). This study aims to implement the Collaborative Planning, Forecasting, and Replenishment (CPFR) method in spare part inventory planning at PT XYZ and to compare lead time supply performance before and after the implementation of the CPFR method. This research utilizes spare part usage data from January to June 2025, focusing on fast-moving spare parts. Demand forecasting is conducted using an error forecasting approach with the moving average method. Forecast accuracy is evaluated using the Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). Furthermore, inventory planning is carried out through the calculation of safety stock and reorder point (ROP) as the basis for determining replenishment decisions. The results indicate that the simulated implementation of the CPFR method provides a more structured and anticipative inventory planning process. The comparison of performance before and after the application of CPFR shows an improvement in lead time supply compliance with the established KPIs. Therefore, the CPFR method has the potential to support improved spare part inventory planning performance at PT XYZ.

This study analyzes the juridical issues related to the implementation of criminal sanctions below the statutory minimum, as reflected in Cassation Decision Number 7853/K/Pid.Sus/2024. The focus of this research centers on the tension between the rigid provisions of Article 111 paragraph (1) of Law No. 35 of 2009 concerning narcotics and the reality of judicial practice, which often deviates from these provisions. This phenomenon raises debates regarding the extent to which the principle of legality can be compromised in pursuit of justice without undermining the pillar of legal certainty within Indonesia’s criminal justice system. Using a normative legal research method with a statutory and case study approach, this study qualitatively analyzes judges’ considerations. The findings indicate that, although the policy of imposing sentences below the minimum carries the risk of creating legal uncertainty, the Supreme Court in this case reinterpreted the principle of legality. Judges tend to prioritize proportionality and substantive justice to avoid purely mechanical punishment. The study concludes that, while judicial discretion represents a concrete expression of judicial independence, such practice requires clearer normative parameters. Without explicit regulation, deviations from the statutory minimum risk widening disparities in judicial decisions. Therefore, standardized sentencing guidelines are necessary to preserve legal integrity while maintaining a sense of justice for defendants.