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The search and booking of boarding houses (kost) remain a significant challenge for newcomers in campus areas, particularly in Kelurahan Samata, home to UIN Alauddin Makassar, which admits approximately 15,000 new students annually. Many of these students come from outside the region and require temporary accommodation near the campus. This issue is primarily caused by limited access to information and the lack of an optimal system to support the search and booking process. Therefore, it is necessary to evaluate the level of user acceptance of the developed system. This study aims to analyze user acceptance of a boarding house search and booking information system in the case of Kelurahan Samata using the User Acceptance Testing (UAT) method. UAT is a testing approach used to determine whether a system meets user requirements, is accepted according to expected standards, and to identify the need for further improvements to ensure its feasibility for use. The UAT was conducted by end users, namely boarding house seekers and property owners/managers, by responding to 10 evaluation indicators: (1) ease of search, (2) time efficiency, (3) booking process, (4) geospatial search features, (5) completeness of information, (6) availability of suitable boarding houses, (7) accuracy of information, (8) ease of payment process, (9) check-in scheduling, and (10) navigation features for directions. The results of the User Acceptance Testing (UAT) indicate that the system achieved an average score of 87.77, suggesting that the system is highly acceptable and significantly facilitates users. These findings demonstrate that the system is well received by users, confirming that it functions effectively and is capable of accommodating all required functionalities.

Indonesia is a country rich in cultural diversity, one of which is Javanese culture which is full of philosophical values ​​and symbolic meanings in every practice, including in the traditional wedding procession. One of the important rituals in Javanese traditional weddings is the Panggih Manten ritual, which represents the meeting between the bride and groom with various symbols of life, hope and blessings. Along with the development of the times and the flow of modernization, people's understanding of the philosophical meaning of the ritual has shifted. Some people still carry out this tradition as a hereditary custom without understanding the values ​​contained in it, even giving rise to debates regarding its suitability with Islamic teachings. This study aims to analyze the practice of the Panggih Manten ritual in Javanese traditional wedding traditions and review its suitability with the 'Urf argument in Islamic law. The research method used is qualitative with a juridical-normative approach, while the research location was carried out in Pengkol village, Mantingan District. The results of the study show that the Panggih Manten ritual is basically acceptable in Islamic law as long as it does not conflict with the principles of sharia. Based on analysis from the perspective of al-'urf, several aspects of the Panggih Manten ritual, such as muter asem (the act of making offerings), and the belief in disasters, contain elements that are inconsistent with Islamic law and could potentially lead to idolatry, thus being categorized as al-'urf al-fāsid. Therefore, the Panggih Manten tradition can be preserved through reinterpretation of its meaning and the elimination of elements that contradict Islamic teachings, thus aligning it with Islamic principles.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

Ibuprofen is an antipyretic and anti-inflammatory drug classified as Biopharmaceutics Classification System (BCS) class II, characterized by low water solubility and high permeability. Its limited solubility may reduce the dissolution rate and influence therapeutic effectiveness. This study aimed to formulate ibuprofen suppositories using cocoa butter (oleum cacao) as the suppository base through the melting method. Each suppository was prepared with a total weight of 2500 mg containing 125 mg ibuprofen, oleum cacao as the base, tween 80 as an emulsifier, and liquid paraffin as a mold lubricant. Before formulation, a displacement value test was performed to determine the exact amount of base required. The prepared suppositories were evaluated through organoleptic examination, weight uniformity, melting time, and dissolution testing. The evaluation results demonstrated that the suppositories possessed acceptable physical characteristics, uniform weight distribution, appropriate melting properties, and satisfactory dissolution behavior. Based on these findings, ibuprofen suppositories formulated with oleum cacao fulfilled pharmaceutical quality requirements in accordance with the Indonesian Pharmacopoeia standards.

Sweet orange peel (Citrus x aurantium L.) is an agricultural by-product rich in bioactive compounds including flavonoids, phenolics, terpenoids, and vitamin C with antioxidant and moisturizing potential. This study aimed to formulate and evaluate a body lotion using 15% ethanol extract of sweet orange peel obtained by maceration with 96% ethanol. Evaluations included organoleptic, homogeneity, pH, adhesion, spreadability, viscosity, irritation, cycling test, cream type, and DPPH antioxidant activity assessments. The preparation was semisolid, yellow, with a characteristic herbal aroma, homogeneous, pH 8, adhesion time of 4.10 seconds, spreadability of 9.9–11.1 cm, and acceptable viscosity. The preparation caused no skin irritation, remained stable through six cycling test cycles, and formed an oil-in-water (O/W) emulsion. Antioxidant activity showed an IC₅₀ of 284.6 ppm (weak category) compared to vitamin C as positive control (IC₅₀ 4.2 ppm). It was concluded that ethanol extract of sweet orange peel can be formulated into a stable and safe body lotion, though further optimization is needed to enhance its antioxidant activity.

This Community Service Program (Kuliah Kerja Nyata/KKN) aimed to empower housewives through environmentally friendly dishwashing liquid production training in Kuta Parit Village, Selesai Subdistrict, Langkat Regency, responding to limited female participation in productive economic activities and increasing demand for safe household cleaning products. The program sought to enhance skills, knowledge, and economic independence among women while promoting health and environmental sustainability. A descriptive qualitative approach was applied, using observation, informal interviews, and documentation conducted during program implementation. Activity stages included education on eco-friendly soap concepts, introduction to materials and their functions, demonstrations of the production process, and hands-on practice sessions involving participants directly. KKN students served as facilitators and mentors, ensuring participants comprehended each step and were able to replicate the process independently. The results indicated that housewives successfully produced liquid dishwashing soap suitable for daily household use with acceptable quality. Beyond technical skill improvement, the program stimulated entrepreneurial motivation, strengthened confidence, and created opportunities for developing home-based microenterprises using eco-friendly products. Overall, this KKN activity contributed positively to women’s economic empowerment while supporting cleaner living practices within the community.

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.

The stability of disposal slopes is a critical aspect of open-pit mining operations because it directly affects operational safety and the continuity of overburden dumping activities. Disposal areas composed of overburden materials generally exhibit heterogeneous characteristics, particularly when soft materials such as mud are present, which can significantly reduce slope stability. Therefore, a comprehensive slope stability evaluation is required prior to further disposal development. This study aims to assess the stability condition of a disposal slope under initial conditions, evaluate the influence of material conditions, and analyze the effectiveness of counterweight application in improving both the safety factor and disposal capacity. The research methodology involved the collection of primary and secondary data, including slope geometry, lithological conditions, and the physical and mechanical properties of disposal materials obtained from laboratory testing and company technical data. Slope stability analysis was performed using the limit equilibrium method with the assistance of geotechnical software, taking into account groundwater conditions and operational loading. The analysis results indicate that the initial disposal condition yielded a safety factor of 0.718, indicating an unstable slope condition. After simulating the removal of mud material, the safety factor increased to 0.907 but remained below acceptable stability criteria. The application of a counterweight significantly improved slope stability, resulting in a safety factor of 1.498. Further optimization through slope geometry redesign produced a final safety factor of 1.101, which satisfies the requirements stipulated in KEPMEN ESDM No. 1827 K/30/MEM/2018. Additionally, the redesign increased the disposal capacity from 119,507,864.23 LCM to 119,682,378.22 LCM, representing an increase of 174,513.99 LCM. These results demonstrate that counterweight application combined with geometric optimization is effective in enhancing both slope stability and disposal capacity.

MMP is a metal manufacturing company engaged in casting, forging, and machining processes with a three-shift work system, including night shifts that may increase mental and physical workload due to disruptions in workers’ biological rhythms. This study aims to analyze the mental and physical workload of die casting machine operators during the night shift and to propose improvement measures using the Fault Tree Analysis (FTA) method. The study involved 23 operators, with mental workload assessed using NASA-TLX and physical workload measured using CVL. The results indicate that mental workload falls into high to very high categories, with WWL values ranging from 46.6 to 97.3, where 12 operators experienced very high mental workload. The dominant contributing dimensions were effort, physical demand, and temporal demand. Meanwhile, physical workload ranged from 19.48% to 36.36% CVL, with most operators not experiencing fatigue. Although physical workload remains within acceptable limits, the high mental workload indicates the need for improvements. FTA analysis identified key contributing factors, including work methods, work systems, ergonomics, machine conditions, and the work environment. Proposed improvements include job rotation, improvements in work methods and task distribution, adjustments to the work system, enhanced machine maintenance, and ergonomics-based workplace improvements.

This study examines the seismic performance of slender Air Traffic Control (ATC) towers in high‑hazard regions (PGA > 0.4g), where vertical taper, torsional eccentricity, and top‑heavy cab mass can significantly increase drift, base shear, and collapse risk relative to conventional buildings. Existing studies often rely on linear procedures and outdated provisions, leading to underestimation of nonlinear behaviour and limited guidance for ATC towers designed to SNI 1726:2019. The research aims to quantify these irregularity effects and formulate design recommendations that satisfy Immediate Occupancy, Life Safety, and Collapse Prevention performance targets. The methodology couples response spectrum analysis, using a site‑specific Padang spectrum consistent with SNI 1726:2019 and ASCE 7‑16, with nonlinear pushover analysis interpreted through FEMA/ATC performance‑based criteria. A parametric study is performed on three cab configurations small, medium, and large modelled as 5%, 15%, and 25% mass ratios at the tower head, while keeping a 10 m × 10 m hybrid core–frame shaft constant. Results indicate that larger cab mass produces systematic but moderate increases in global displacement, story drift, and base shear, while plastic hinges localize primarily in the upper stories and cab‑support region, yielding performance levels from Immediate Occupancy to Collapse Prevention. Overall, the tower meets code drift limits and acceptable performance if local strengthening is provided around the shaft–cab interface, offering a calibrated reference for top‑heavy ATC tower design in Indonesian high‑seismic settings and identifying priorities for future time‑history and soil–structure interaction studies.

Banana blossoms are often considered waste and rarely utilized by the community, even though this material is easily obtained, has nutritional value, and has the potential to be processed into economically valuable food products. This community service activity was carried out in Melati II Village, Pasar 6, Pala Hamlet, Perbaungan District, with the aim of providing assistance to the community in processing banana blossoms into chips as an alternative snack. The implementation method included a brief counseling on the potential and benefits of banana blossoms, training in processing techniques, hands-on practice in making chips, and a simple evaluation of the quality of the resulting product. The results of the activity showed that the community was able to process banana blossoms into chips with a crispy texture, acceptable taste, and an attractive appearance. In addition to improving community skills and creativity, this activity also helped reduce organic waste and opened up sustainable household-scale business opportunities for the local community.

Recent advancements in environmental monitoring and robotic control demand systems that are capable of real-time responsiveness, energy efficiency, and reliable operation in dynamic and resource-constrained environments. Conventional cloud-centric cyber-physical system (CPS) architectures often suffer from high latency, continuous connectivity dependency, and increased energy consumption, limiting their suitability for time-critical monitoring and adaptive control applications. To address these challenges, this study proposes an intelligent embedded cyber-physical system integrating Edge AI, low-power sensor networks, and adaptive robotic control for environmental monitoring. The proposed architecture relocates data processing and decision-making closer to the data source, enabling real-time inference, reduced communication overhead, and enhanced system autonomy. The research adopts a design-oriented experimental methodology involving system architecture design, lightweight Edge AI model development, prototype implementation, and performance evaluation under realistic operating conditions. Experimental results demonstrate that the proposed edge-based CPS significantly reduces end-to-end latency and energy consumption while maintaining acceptable inference accuracy compared to cloud-based processing. Furthermore, the system achieves improved communication efficiency and higher operational reliability, particularly under intermittent network connectivity. The findings highlight that embedding intelligence at the edge enables closed-loop sensing, decision-making, and actuation, which is essential for adaptive robotic control in environmental monitoring scenarios. This study contributes a system-level perspective on Edge AI–enabled CPS design and provides empirical evidence supporting the transition from cloud-centric architectures toward distributed, energy-aware, and resilient cyber-physical systems for real-time monitoring and control applications.

Explainable Artificial Intelligence (XAI) has become a critical area of research within artificial intelligence, focusing on improving the transparency and interpretability of machine learning (ML) models, often referred to as "black-box" models. The need for XAI techniques arises from the inherent complexity of ML models, which can make their decision-making processes difficult for users to understand. This study investigates various XAI techniques, including LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations), to assess their impact on model interpretability without significantly compromising predictive performance. A comparative experimental design was used, applying these XAI methods to different ML models, including deep neural networks and ensemble methods, within large-scale enterprise data analytics systems. The results indicate that XAI methods significantly enhance model transparency and decision traceability, allowing users to understand the influence of individual features on predictions. While a slight reduction in predictive accuracy was observed, especially with simpler models, the trade-off between interpretability and performance was deemed acceptable, particularly in fields requiring transparency, such as healthcare, finance, and autonomous systems. The use of XAI in enterprise data systems has practical implications for fostering trust and enabling informed decision-making among stakeholders. Furthermore, the study discusses the challenges and limitations of applying XAI techniques, such as complexity, scalability, and model-specific limitations. Future research is suggested to focus on developing more scalable and efficient XAI methods, enhancing their applicability across various model types, and addressing the challenges of real-time applications. This will be crucial in ensuring the widespread adoption of XAI in critical domains, promoting the ethical use of AI while maintaining predictive accuracy.

Business competition in the culinary sector continues to increase along with changes in people's consumption patterns towards ready-to-eat food. One product that is quite popular is fried dim sum, which is known for its variety of flavors and relatively affordable prices. In this competitive environment, understanding how consumers perceive product price and quality is crucial for businesses to maintain and increase customer interest in purchasing goods. Consumer perceptions of product price and quality when they choose fried dim sum are the subject of this study. Informants were selected purposively in this study, which used a qualitative and descriptive approach, namely consumers who have purchased and consumed fried dim sum products. Data collection methods included comprehensive interviews, direct observation, and supporting documentation. The collected data were analyzed using an interactive analysis model developed by Miles and Huberman through steps such as data reduction, data presentation, and discovery. The results show that consumers view price as an indicator related to the affordability and suitability of the product value. Price is considered acceptable if it is commensurate with perceived quality. In addition, product quality, including taste, texture, cleanliness, and packaging, is a primary factor considered before making a purchase. Positive perceptions of product quality increase customer trust and encourage repeat purchases. This study concluded that customer perceptions or opinions about price and product quality influence fried dim sum purchasing decisions. Therefore, culinary businesses need to prioritize proportional pricing and maintain consistent product quality to enhance business competitiveness.

Wheat has limited nutritional content, therefore fortification with other ingredients is required to complement these nutrients, one of which is fortification with pineapple peel flour and chicken bones in noodle products. Thus, this study was conducted to investigate the impact of adding chicken bone and pineapple peel flours on the characteristics of wheat flour noodles, with the goal of developing a product enriched in fiber and minerals, and exhibiting acceptable sensory qualities. The research design used a completely randomized design (CRD) with 2 experimental factors, namely pineapple peel flour concentration (0%,3%,5%) and chicken bone flour concentration (0%,5%,10%) with triplicate replication. Based on the optimal treatment by Zeleny method, sample N1T3 emerged as the most favorable formulation. This sample exhibited the following chemical profile: a moisture content of 8.77%, an ash content of 4.52%, a protein content of 14.45%, a fat content of 1.52%, and a fiber content of 0.4%. Furthermore, sensory evaluation of Sample C yielded scores of 3.11 for color, 3.11 for aroma, 3.00 for taste, 2.89 for texture, and 2.89 for overall acceptance.

Employment agreements are essential legal instruments that regulate the rights and obligations of workers and employers in industrial relations, aiming to ensure legal certainty and balance. In practice, however, the implementation of employment contracts often faces challenges such as differing interpretations, unequal bargaining positions, and inconsistent application of labor regulations. These issues require an effective and constructive dispute resolution mechanism that can address contractual problems while preserving employment relationships. In the Indonesian labor law system, mediation is recognized as a key non-litigation mechanism facilitated by government-appointed mediators to help parties reach mutually acceptable solutions. This study examines the mediation mechanism for resolving employment agreement disputes in Indonesia and analyzes its role as an alternative to court proceedings that emphasizes deliberation, efficiency, and cooperation. Using a normative legal research method with statutory and conceptual approaches, the study analyzes relevant labor laws, mediation regulations, and legal doctrines through a comprehensive literature review. The findings show that mediation is conducted through structured stages, including dispute registration with labor authorities, mediator appointment, facilitated negotiations, and the formulation of agreements or written recommendations. Mediation effectively promotes consensual solutions, reduces procedural complexity, and encourages cooperative communication. It also supports the preservation of harmonious and sustainable employment relationships by prioritizing consensus over adversarial processes. Strengthening mediator competence and improving legal awareness among workers and employers are therefore crucial to optimizing the effectiveness of mediation in resolving employment agreement disputes in Indonesia.

Acid mine drainage (AMD) is characterized by low pH and high concentrations of heavy metals such as iron (Fe) and manganese (Mn) that exceed environmental quality standards, thus requiring effective treatment to prevent environmental pollution. This study aims to evaluate the ability of a mixture of activated carbon derived from pineapple leaves mixed with coal to increase pH and reduce Fe, Mn, and Total Suspended Solids (TSS) levels in acid mine drainage at PT Alreksa Bara Mitra. The process to make activated carbon involved preparation, carbonization, and activation processes on the pineapple leaves and coal separately. The following step is to mix but pineapple leaves and coal the has been activated. The treatment was conducted using an adsorption method with variations in adsorbent mass of 4 g, 8 g, and 12 g and a contact time of 30 minutes. The parameters analyzed included pH, Fe, Mn, and TSS before and after treatment, and the results were compared with the quality standards stipulated in Minister of Environment and Forestry Regulation No. 05/2022. The results showed that the characteristics of the activated carbon mixture met the SNI 06-3730-1995 standard. Increasing the adsorbent mass contributed to the rise in pH from 5.5 to near the acceptable range of 6–9 and significantly reduced Fe, Mn, and TSS concentrations below the permitted limits.The findings indicate that the mixture of pineapple leaf- and coal-based activated carbon is an effective, economical, and environmentally friendly alternative adsorbent for acid mine drainage treatment.

Verbal abuse in early childhood represents a form of non-physical violence that has serious implications for children's socio-emotional, cognitive, and psychological development. This issue continues to escalate alongside the declining quality of parenting experiences and weakened social control within communities, where verbal aggression is often perceived as an acceptable disciplinary practice. This study aims to identify and analyze the relationship between parenting experiences and community social control with the occurrence of verbal abuse through a Systematic Literature Review (SLR) approach. Data were collected from reputable journal articles published between 2020–2025 using inclusion–exclusion criteria and content analysis techniques. The findings reveal that authoritarian parenting, emotional stress, a history of violence, and misconceptions about discipline serve as primary triggers of verbal abuse. In contrast, social environments characterized by strong social bonds, collective anti-violence norms, and active community participation have been shown to effectively reduce the occurrence of verbal abuse within families. This study concludes that verbal abuse is an interactive phenomenon shaped by parenting factors and social structures; therefore, prevention requires a family-based educational approach in conjunction with strengthening community roles through Pendidikan Non Formal.

Drug abuse (Narcotics, Psychotropics, and other Addictive Substances) is a serious problem that can threaten the younger generation, especially in the Panggung Kidul Village area. The lack of public understanding, especially teenagers, regarding the dangers and negative impacts of drug abuse is one of the factors that influence the high risk of substance abuse. Therefore, innovative and interactive educational media are needed to increase public awareness and understanding regarding the prevention of drug abuse. This study offers a solution by designing and developing educational media based on Augmented Reality (AR) technology as a visual and interactive tool that conveys information in an interesting and easy-to-understand manner. The use of smartphones as the main device in AR applications makes this media more easily accessible to various groups of people. The test results using the System Usability Scale (SUS) method showed a user satisfaction level of 96% which is included in the Acceptable category. Thus, this AR-based educational media is expected to be an effective means of increasing public understanding of the dangers of drug abuse and encouraging early preventive efforts.

This study aims to analyze the use of social media as a means of regenerating Minangkabau traditional music among the younger generation through the role of traditional music content creators. The background of this research stems from the declining interest of young people in traditional music due to the dominance of popular culture and modernization. However, the emergence of content creators who utilize digital platforms such as YouTube, TikTok, and Instagram has opened new opportunities for the preservation of traditional music. This study employs a descriptive qualitative approach with data collected through in-depth interviews, observations, and documentation of several Minangkabau music content creators. The results show that social media plays a crucial role in the regeneration process of traditional music through three main functions: information (promotion), interaction, and motivation. By presenting engaging visuals, combining traditional music with modern elements, and encouraging interactive audience participation, social media effectively attracts young people to learn and appreciate traditional music. In addition, regeneration is the process of inheriting cultural values ​​through efforts to maintain the sustainability of performing arts by adapting the presentation methods and performance spaces to suit the times, so that traditional arts remain acceptable to modern society.