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This study aimed to determine the effect of different levels of beef liver addition on the nutritional, physicochemical, and color characteristics of chicken patties. Beef liver, an underutilized animal by-product with high nutritional value, was incorporated at different levels (0%, 20%, 40%, and 60%) into chicken patty formulations. The experiment was conducted using a Completely Randomized Design with four treatments and five replications. The collected data were analyzed using analysis of variance (ANOVA) and followed by Duncan’s Multiple Range Test (DMRT). The results showed that the addition of beef liver had no significant effect (P>0.05) on protein content, water activity (aw), and b* values, but had a highly significant effect (P<0.01) on moisture content, fat content, cooking loss, texture, and color characteristics (L* and a*). Increasing beef liver levels improved the nutritional profile and modified the physical and visual characteristics of the patties. These findings demonstrate the potential of beef liver as a value-added functional ingredient for developing nutritious chicken patties while promoting the sustainable utilization of underutilized livestock by-products.

Environmental pollution is a common problem in cities and can increase the likelihood of flooding. The purpose of this study is to analyze environmental pollution as a cause of flooding in the Pekapuran Street area, Depok City. This study applies a descriptive method with a qualitative approach. Data were obtained through observation, documentation, and literature review. Based on the results of the study, it was found that the accumulation of household waste around the drainage channels causes obstruction of water flow, which triggers flooding during rain. In addition, the shallow, mud-filled, and poorly maintained drainage conditions increase the risk of flooding. Low levels of public awareness of environmental cleanliness are also factors that exacerbate the condition. This study concludes that flooding on Pekapuran Street is influenced not only by high rainfall, but also by environmental pollution and a suboptimal drainage system. Based on this, better waste management and drainage maintenance are needed to minimize the risk of flooding in the area.

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

Nature tourism is one of the sectors that plays an important role in supporting the development of regional tourism, including in Lahat Regency, which has significant waterfall tourism potential. Currently, many visitors share their reviews and experiences through digital platforms such as Google Maps. This review can be used as a source of information to understand the public's evaluation of the quality of tourist attractions. This study aims to examine public perception of tourist attractions in Lahat Regency using the Support Vector Machine (SVM) method. Research data were collected through scraping from Google Maps, totaling 500 reviews from five tourist attractions, namely Curup Maung, Curup Buluh, Senyawe Waterfall, Panjang Waterfall, and Green Canyon. The research stages include data preprocessing, consisting of cleaning, case folding, normalization, tokenization, stopword removal, and stemming. After that, feature extraction was carried out using the TF-IDF method and the classification process using the SVM algorithm. Based on the research results, the Support Vector Machine (SVM) method is able to perform sentiment classification quite well, although the accuracy level varies for each tourist attraction. Curup Maung and Panjang Waterfall achieved the highest accuracy level of 90%. Nevertheless, most visitor reviews were dominated by negative sentiments. This indicates that there are still several aspects that need to be improved, particularly related to tourist facilities and services. This research is expected to serve as a consideration for tourism managers and local governments in efforts to improve management quality as well as the development of tourism in Lahat Regency.

Public services are one of the essential functions of village-level government as they are directly related to the needs of the community. However, in Pontap Village, Palopo City, service processes are still carried out manually, which often leads to obstacles such as service delays, difficulties in record-keeping, and limited access to information for residents. This study aims to design and develop a web-based public service information system to improve the efficiency and quality of services at the village office. The system was developed using the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system was built using the PHP programming language with the Laravel framework and utilizes MySQL as the database which is managed using HeidiSQL. System modeling was carried out using use case diagrams and activity diagrams, while testing was conducted using the black-box testing approach to ensure that all functions operate according to specifications. The resulting system provides community complaint services, administrative letter services, and information on health service schedules such as posyandu and puskesmas activities. It is expected that this system will facilitate residents in accessing information, accelerate service processes, and improve data accuracy through an integrated digital platform. This research is expected to serve as a solution to support the digitalization of public services in Pontap Village and to become a reference for the development of similar systems in other regions.

Nile tilapia (Oreochromis niloticus) culture requires an efficient and low-cost feeding strategy that can support fry growth and survival. This study aimed to analyze the effects of three types of natural feed, namely silk worms, earthworms, and snails, on absolute length growth, absolute weight growth, and survival of Nile tilapia fry. The study was conducted at the Aquaculture Laboratory, Faculty of Science and Computer Science, Universitas Muhammadiyah Gorontalo, from January 31 to March 2, 2026. An experimental method was applied using a Completely Randomized Design consisting of three treatments and three replications. A total of 45 Nile tilapia fry were reared in 9 plastic containers filled with 10 L of water, with 5 fish in each container. Growth and survival data were analyzed using ANOVA at the 5% significance level, while water quality was analyzed descriptively. The results showed that the type of natural feed had no significant effect on absolute length growth, absolute weight growth, and survival. Descriptively, silk worms produced the highest length and weight growth, with values of 2.99 cm and 6.37 g, respectively. Snails produced the highest survival rate of 86.66%. Water quality remained stable, with temperature ranging from 26.3 to 26.8°C, pH from 7.6 to 7.9, and dissolved oxygen from 5.2 to 5.6 mg/L. These findings indicate that silk worms are potential natural feed for improving growth, while snails support the survival of Nile tilapia fry.

This study aims to analyze the environmental impact of waste generated by the gecko processing home industry based on environmental law regulations in Indonesia. In its processing activities such as lizards and snakes. These activities produce organic waste in the form of animal organs, blood, body fluids, and other waste in the materials that are later utilized as catfish feed. The research method used is qualitative with a normative juridical approach, statutory approach, and literature study. Data were obtained from laws and regulations , scientific journal, and environmental law literature. The results of the study indicate that the disposal of waste into rivers can increase Biological Oxyen Demand and Chemical Oxygen Demand (COD) levels, cause unpleassant odors, and reduce water quality and public health. The utilization of waste as catfish feed can reduce the amount of waste disposed of, however, it still requires hygienic processing to prevent biological risks. From the perspective of environmental law, the direc disposal of the waste into rivers is not in accordance with Law No. 32 of 2009 concerning Environmental Protection and Management and Government Regulation No. 22 of 2021 concerning the Implementation of Environmental Protection and Management. Therefore, better waste management is needed through proper waste treatment, increased awareness among business actors, and goverment supervision so that home industries can operate sustainably and in an environmentally friendly manner

The flash floods that struck Aceh Tamiang caused infrastructure damage and contaminated clean water sources, making it difficult for residents to obtain potable water. This situation increases the risk of water-borne diseases and worsens the post-disaster situation. This research aims to develop a large-scale, simple water filtration prototype as an emergency response solution that is effective, economical, and easy to implement by affected communities. The methods used include field observation, water sampling, testing simple physical parameters (turbidity, color, odor, and pH), and designing a gravity-based, multi-stage filtration system without electricity. The prototype uses a combination of filter media such as gravel, silica sand, activated charcoal, and natural fibers in a drum system. Test results show a decrease in turbidity levels from 150–300 NTU to 5–15 NTU after the filtration process, as well as an increase in pH to near neutral. The filtered water is declared suitable for sanitation and consumption after undergoing a further disinfection process. In addition to implementing the technology, this research also includes public education regarding the selection of safe water sources and maintenance of the filtration system. Based on these results, this large-scale simple water filtration prototype is effective as an appropriate technological solution in handling the post-disaster clean water crisis and has the potential to be replicated in other flood-prone areas.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

Although Indonesia has integrated SDG 6 goals into national development planning, access to safe drinking water and sanitation remains a challenge in rural areas, particularly due to suboptimal policy implementation at the local level. The PAMSIMAS program is a government policy designed to improve access to clean water and sanitation services thru a community empowerment approach. This research aims to analyze the implementation of the PAMSIMAS program policy in supporting the achievement of SDG 6 in Mentaras Village, Dukun District, Gresik Regency. The research approach is descriptive qualitative with data collection thru observation, interviews, and documentation. The analysis was conducted using George C. Edwards III's policy implementation model, which includes communication, resources, executor disposition, and bureaucratic structure. The research results show that the program implementation has achieved significant progress, marked by an increase in the number of households accessing clean water, affordable service costs, and community-based management thru BP-SPAMS and BUMDes that reflect the principle of accountability. However, the implementation of the program still faces challenges such as limited service coverage, an imbalance in the facilitator-to-beneficiary ratio, and coordination obstacles among implementing stakeholders. Therefore, strengthening the dimensions of communication, resources, and institutional coordination is necessary to enhance the effectiveness of program implementation and support the achievement of SDG 6 targets by 2030.

Land constitutes a limited asset whose availability does not significantly increase over time, thereby requiring strong legal assurance and protection. In Pekalongan City, recurrent tidal flooding (rob) has created uncertainties regarding land boundaries and the legal status of ownership rights. This research adopts a socio-legal approach with a qualitative descriptive design to examine these issues in depth, focusing on how legal norms interact with environmental changes and community practices. The findings indicate that inundated land cannot be legally regarded as extinguished or lost. Ownership rights remain attached to the land, even when its physical condition is altered by persistent flooding. Landowners can still identify and assert their territorial boundaries by installing higher and more adaptive boundary markers that accommodate fluctuating water levels. Furthermore, legal certainty over land ownership can be maintained through administrative mechanisms. These include applying for a Land Registration Certificate (SKPT) and requesting land re-measurement through the National Land Agency, which provides verified information on both juridical and physical aspects of the land. Thus, despite environmental challenges, the legal framework continues to offer avenues for protecting land rights and ensuring certainty for affected communities.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

This study analyzes the performance of three types of controllers—PID, Fuzzy-PID, and Model Predictive Control (MPC)—in maintaining water level stability in a dam system. Proper water level regulation is essential to prevent flooding, ensure adequate water distribution, and maintain the structural safety of the dam. Previous studies have widely implemented PID and Fuzzy-PID controllers; however, MPC offers significant advantages through system prediction and multivariable optimization. This research compares the performance of the three controllers through simulation analysis using a second-order mathematical model. The results indicate that MPC has the potential to deliver a faster settling time and a smaller steady-state error compared to PID and Fuzzy-PID, although it requires higher computational complexity.

Accurate classification of rainfall intensity patterns is important for early warning systems, hydrometeorological risk assessment, and water resource management. Surface rain gauges have limited spatial coverage, so this study uses NOAA NEXRAD Level II radar data from the KTLX station in 2023. K-Means clustering was applied to identify rainfall intensity patterns from 30 randomly selected days, with scans stratified into four daily time intervals. Seven features were extracted from each radar sweep, including reflectivity statistics, convective and stratiform ratios, and rainfall coverage. The data were normalized and balanced before clustering. The optimal cluster count was determined through a combined evaluation of the Elbow Method, Silhouette Score, and Davies-Bouldin Index, yielding K=5 as the most representative configuration. Evaluation results demonstrated a Silhouette Score of 0.3871 and a Davies-Bouldin Index of 0.8599, indicating moderate cluster cohesion that reflects the inherent overlapping nature of rainfall intensity transitions in radar reflectivity data. The clusters represent rainfall regimes from non-precipitating conditions to intense convective events. These results support the use of K-Means for automated rainfall pattern recognition and flood forecasting applications. 

Vegetables are food commodities widely consumed by the public due to their high nutritional content. Chili (Capsicum annuum L.), green beans (Phaseolus vulgaris L.), and Chinese cabbage (Brassica pekinensia L.) are among the vegetables that can be processed into various delicious dishes or consumed fresh as raw vegetables. To obtain healthy and high-quality vegetable crops, pesticides are commonly used to control pests that may damage the plants. One of the widely used pesticides is chlorpyrifos, which can leave residues that may pose both acute and chronic health risks. Therefore, it is necessary to analyze the levels of chlorpyrifos pesticide residues in vegetables. The residue levels were determined using a UV-Vis spectrophotometer at a wavelength of 230 nm with dichloromethane as the solvent, while qualitative analysis was performed using HPLC by comparing the retention times of standard solutions and vegetable samples. In this study, washing treatments were applied to the vegetables using dichloromethane, distilled water, well water, and tap water (PDAM) to evaluate the effect of washing on pesticide residue levels. The concentrations of pesticide residues in unwashed vegetables were chili (2.6680 ± 0.0214 mg/kg), green beans (2.4658 ± 0.0193 mg/kg), and Chinese cabbage (2.7950 ± 0.0379 mg/kg). The washing process was carried out three times for each solvent. After three washings using dichloromethane and distilled water, pesticide residues were no longer detected, whereas washing with tap water (PDAM) and well water still left residues, although at levels much lower than the Maximum Residue Limit (MRL). The health risk assessment showed that the aHQ and cHQ values were < 1, indicating that consumption within the recommended limits of these samples does not pose health risks, either in the short term or long term. This study provides important information that repeated washing is necessary to effectively reduce pesticide residue levels in vegetables before consumption.  

Takaras River is a river basin that is vulnerable to pollution, particularly from the mercury usage in small-scale gold mining. This study aims to identify water quality based on mercury (Hg)and pH levels in the Takaras River. Samples were taken at two locations using a purposive sampling method. Results showed indications of mercury use on former gold mining land around the Takaras River altought the mercury content level was below 0.075 µg/L or 0.00075 mg/L in sample 1 and 2. Based on the test results, the acidity level (pH) in the two water samples from Takaras River is 3.86 and 3.84 in sample 1 and 2, compared to the maximum pH quality standard of 6-9 for Class II water, it is concluded that the scale of acidity in Takaras River is very low, indicating that the water quality in the Takaras River is highly acidic, abnormal, and shows signs of serious pollution. The implications of low pH levels in the Takaras River can cause damage to the Takaras River ecosystem, a decline in soil quality and fertility, and an increase in heavy metal toxicity in the environment surrounding the river.

This study aimed to determine the effect of coffee husk waste application and shallot extract soaking on the growth of cat’s whiskers (Orthosiphon aristatus) cuttings. The research employed a factorial Randomized Block Design (RBD) consisting of two factors with 48 experimental plots. The first factor was the application of coffee husk waste, symbolized as “L,” with four treatment levels: L0 = 0 g/polybag (without coffee husk waste), L1 = 75 g/polybag, L2 = 150 g/polybag, and L3 = 225 g/polybag. The second factor was shallot extract soaking, symbolized as “B,” with four treatment levels: B0 = 0 ml/L of water, B1 = 5 ml/L of water, B2 = 10 ml/L of water, and B3 = 15 ml/L of water. Thus, there were 16 treatment combinations with three replications. The observed parameters included time to shoot emergence, number of shoots, plant height, number of leaves, leaf area, and survival percentage. The results showed that the application of coffee husk waste and shallot extract soaking had no significant effect on the growth of cat’s whiskers (Orthosiphon aristatus) cuttings across all observed parameters.

This community service activity was carried out on 21 September 2024 at Banksasuci (Bank Sampah Sungai Cisadane), Cihuni, Gading Serpong, Tangerang Regency, as part of the SOUL PROJECT (Save Our Earth With Law) organized by the Student Executive Board of the Faculty of Law, UPN Veteran Jakarta. The program focused on urban planning and water management in relation to the impact of development on Cisadane River water quality. The Cisadane River is one of the most vital water sources in Banten Province, supplying raw water for PDAM, agriculture, fisheries, and industry. However, rapid urbanization—marked by dense residential sprawl and industrial expansion—has caused a significant and sustained decline in river water quality. Research shows that COD and BOD concentrations in the Cisadane River trended upward continuously from 2005 to 2012, driven by industrial effluents concentrated in Jatiuwung and domestic wastewater from slum settlements. Institutional management of the river remains fragmented across multiple agencies at city, provincial, and national levels with weak coordination. This activity engaged approximately 50 participants through legal education sessions, participatory field discussions, river cleaning, and tree-planting activities. Results indicate a significant increase in participant awareness of the link between spatial planning, infrastructure development, and river water quality. This program recommends integrated spatial governance and community-based monitoring as key strategies for protecting the Cisadane River ecosystem.

The purpose of this study was to determine how the application of Local Microorganisms (LOM) from stale rice and oil palm boiler ash impacts the growth and production of shallots (Allium ascalonicum L.) and to determine the interaction between the two treatments. Shallots are a horticultural commodity with high economic value, so efforts are needed to increase production through the use of environmentally friendly organic materials. The study used a factorial Randomized Block Design (RBD) with two factors and three replications. The first factor was LOM from stale rice with four levels (0, 20, 40, and 60 ml/L water/plot) and the second factor was oil palm boiler ash with four levels (0, 500, 1000, and 1500 grams/plot), resulting in 16 treatment combinations and 48 experimental plots. The parameters observed included plant height, number of leaves, number of tillers, fresh weight of bulbs, dry weight of bulbs, and bulb diameter. If there was a significant effect, the data were tested using analysis of variance (ANOVA). This research is expected to produce scientific data on the use of organic waste as an environmentally friendly fertilizer alternative.