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Tomato (Solanum lycopersicum) is a high-value horticultural commodity in Indonesia, yet its cultivation is frequently disrupted by leaf diseases that are difficult to distinguish visually. Diseases such as Bacterial Spot, Early Blight, and Tomato Yellow Leaf Curl Virus often present overlapping visual symptoms, making early and accurate diagnosis a significant challenge for farmers. The manual identification methods currently in use are inefficient and error-prone, ultimately leading to reduced crop yield  and quality. The general objective of this study is to develop software capable of automatically classifying tomato  leaf diseases. Specifically, this research aims to implement the MobileNetV3 Small architecture based on Convolutional Neural  Network (CNN) with ImageNet pre-trained weights to classify 10 types of tomato leaf diseases. The research methodology encompasses dataset collection from Kaggle comprising 10,000 images (1,000 per class), image pre-processing through resizing to 224x224 pixels, and normalization, as well as hyperparameter optimization (optimizer, learning rate, epoch, batch size) via scheduler. Model performance is evaluated using a confusion matrix encompassing accuracy, precision, recall, and F1-score.

The incorporation of artificial intelligence (AI) in language education has provided new opportunities for students to practice English learning especially in speaking ability. This research explored what the students thought about speaking in English and whether or not they had positive opinions toward using AI-based learning to enhance their English speaking skill at the tenth grade of SMAN 19 Tebo. This research adopted a qualitative research design. Questionnaires and follow- up interviews with students who had used Replika AI as a tool for speaking practice were the methods of data collection. The findings indicated that students had different attitudes to speaking in English. Several students reported experiencing anxiety, lack of confidence, and fear of making mistakes when speaking in class. On the other hand, there were also some concerns regarding the tool’s artificial intelligence design of Replika AI. The interaction with an AI-service app for all participants interacting with the AI application was associated with English practice on their own terms and without feeling judged. Moreover, the program generated an interactive context where the students could practice their conversations, and build their ideas more confidently. As has been elaborated above, the results showed that Replika AI was seen as a helpful instrument to practice English speaking and reduced students’ anxiety of speaking. The study recommends that AI- mediated learning has the potential to be an alternative medium for speaking practice in the EFL context.

The phenomenon of infinite scrolling in digital media reflects a fundamental shift in how modern individuals experience spirituality in the digital era. The continuous flow of information creates new spaces for the search for meaning, including the human relationship with the Divine, while simultaneously introducing challenges in the form of constant distraction that disrupts deep reflection. This study aims to analyze how infinite scrolling contributes to a crisis of spiritual awareness and how digital technology functions as an ambivalent space between distraction and reflection. The research employs a descriptive qualitative method with a library research approach, using relevant academic literature and religious documents. The findings indicate that intensive digital engagement reduces opportunities for contemplation, weakens reflective capacity, and produces shallow and fragmented spiritual experiences. However, digital technology also provides broad access to spiritual resources that can be used constructively. This study concludes that the crisis of spiritual awareness in the digital era is influenced not only by individual factors but also by technological structures shaping human attention. Therefore, digital literacy that includes ethical and spiritual dimensions is essential to ensure technology supports the search for meaning.  

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

The rapid development of financial technology, particularly online lending, has transformed consumption patterns among working-age individuals by providing easy access to digital credit. This study aims to analyze the influence of financial literacy and online loans on the consumptive lifestyles of gas station workers in the Bululawang area. An explanatory quantitative approach was employed, with all gas station workers serving as the study population. A saturated sampling (census) technique was applied, and data were collected through digital Likert-scale questionnaires. The hypotheses were tested using Multiple Linear Regression Analysis. The findings indicate that financial literacy does not significantly reduce consumptive lifestyles, suggesting that financial knowledge alone is insufficient to control spending behavior without strong self-discipline. In contrast, the use of online loan applications has a significant positive effect on consumptive behavior, as rapid access to credit creates a perception of greater purchasing power and encourages impulsive spending to satisfy lifestyle and social prestige. Simultaneously, limited financial literacy combined with easy access to digital credit significantly increases consumptive lifestyles. The study concludes that improving financial management requires not only theoretical financial literacy but also practical financial discipline. Therefore, companies are encouraged to provide continuous financial education and develop safer internal financing alternatives to reduce workers' dependence on digital lending platforms.

Background: Rabies is a fatal zoonotic disease that remains a serious health problem in Bali, with increase case from rabies transmiting animal bite   in 2025. Sobangan Village, area of ??the Mengwi I Public Health Center, has been identified as a high-risk area due to its largest dog population and the second-highest bite incidence in the region. Lack of understanding regarding the initial treatment of bite wounds and vaccination are major risks factor for fatalities. Aim: This community service activity aims to increase the knowledge and awareness of the Sobangan Village community regarding the prevention and initial treatment of Animal Bites. Method: The implementation method included interactive counseling and focused discussions involving 18 village cadre representatives and PKK members, evaluated using pre-tests and post-tests. Result: The results showed a significant increase in the average knowledge score of participants from 11.56 to 12.56. The most increase understanding occurred in identifying the characteristics of rabid dogs (from 55.6% to 94.4%) and the urgency of post-exposure vaccination (from 72.2% to 100%). Conclusion: Community-based health education has been shown to be effective in improving cognitive competence as a preventative measure to reduce the risk of death from rabies in endemic areas.

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas   Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin

The development of information technology has brought major changes in government agencies managing data and information, including in the KPKNL office. Asset data management that is still done manually often causes various obstacles, such as recording errors, delays in preparing reports, and difficulties in data validation. These conditions can affect the effectiveness and efficiency of the ongoing administrative process. The development of this system is carried out by designing using UML, designing databases with ERD, and implementing web applications. The main features included in this web system are asset data, activity logs, asset monitoring, and asset reports. This web-based system makes it easier to manage asset data in the office at KPKNL. This improves employee work efficiency, reduces recording errors, and makes it easier for users to access information. With this web application, the asset data collection process runs faster, more integrated, and very well documented.

Sufism as a spiritual approach has a great potential to prevent mental health problems among Generation Z students at UIN Walisongo Semarang. This is because Sufism focuses on inner balance, self-awareness, and strengthening spiritual values that can be a source of psychological resilience. This study aims to investigate how Sufism practices such as dhikr, self-reflection, and spiritual guidance can help prevent mental health problems, such as stress, anxiety, and loneliness among Generation Z students. The method used in this study is a qualitative study with a phenomenological design. Data were obtained from in-depth interviews with students, observations of religious activities on campus, and focus group discussions, then analyzed thematically. Interviews were conducted with three students: Wilda Ismatus Sarifah (Faculty of Tarbiyah and Teacher Training), Sinta Wahdatul Khusna (Faculty of Tarbiyah of Social and Political Sciences), and Umi Fathonah (Faculty of Tarbiyah and Teacher Training). The study found that regular Sufism practice guided by experienced individuals helped students feel more meaningful, more socially connected, and develop coping strategies. This was associated with reduced symptoms of stress and anxiety, as well as improved well-being. The study recommends integrating Sufism-based spiritual programs into campus counseling services and character development activities. It also recommends training spiritual mentors and fostering collaboration between student welfare units and religious institutions on campus to support the mental health of young people.

Artificial Intelligence (AI) has increasingly influenced higher education, including learning practices among students of Islamic Education (PAI). Applications such as ChatGPT, Claude AI, and Gemini are widely used to support academic activities, including information searching, understanding course materials, idea generation, and assignment completion. This study aims to examine the use of AI among PAI students and analyze its implications for critical thinking skills. A qualitative descriptive approach was employed at the Islamic Education Program of UIN Salatiga. Data were collected through written interviews with 12 students selected using purposive sampling and analyzed using an interactive data analysis model. The findings reveal that AI has become an important part of students’ academic activities due to its perceived usefulness and ease of use. Most participants demonstrated critical thinking behaviors by verifying AI-generated information, comparing multiple academic sources, and evaluating the accuracy of responses before using them for academic purposes. Nevertheless, excessive dependence on AI was found to potentially reduce students’ independent learning and analytical engagement. The study concludes that AI has a dual impact on critical thinking: it can enhance critical thinking when used reflectively and responsibly, but it may also weaken cognitive involvement when relied upon excessively. Therefore, strengthening AI literacy, digital literacy, and critical thinking skills is essential in higher education learning practices.

Lead (Pb²⁺) contamination in wastewater is a major environmental concern due to its toxicity, persistence, and ability to accumulate in living organisms. Adsorption using biomass-based materials has been developed as an alternative treatment method because it is efficient, economical, and environmentally friendly. This study aimed to analyze the effect of bioadsorbent dosage and contact time on Pb²⁺ removal efficiency and evaluate Pb²⁺ mass distribution using mass balance analysis in a batch adsorption system. Ramie leaf (Boehmeria nivea) was utilized as a bioadsorbent due to its lignocellulosic content, which provides active sites for metal ion adsorption. The research was conducted experimentally through bioadsorbent preparation, chemical activation, and batch adsorption using artificial Pb²⁺ solutions with variations in bioadsorbent dosage and contact time. Pb²⁺ concentrations before and after adsorption were analyzed using Atomic Absorption Spectroscopy (AAS). The obtained data were used to determine removal efficiency and Pb²⁺ distribution between the liquid phase and bioadsorbent. The results showed that ramie leaf bioadsorbent effectively reduced Pb²⁺ concentration, with the optimum condition obtained at 4 g/L bioadsorbent dosage and 90 minutes contact time, achieving 98.46% removal efficiency. Mass balance analysis indicated that Pb²⁺ ions were successfully transferred from the solution phase onto the bioadsorbent surface. These findings demonstrate that ramie leaf bioadsorbent has potential as a sustainable alternative material for heavy metal removal in wastewater treatment.

Braking performance is an important aspect of motorcycle safety because it relates to the vehicle’s ability to reduce speed and stop properly. In a hydraulic disc brake system, braking is influenced by mechanical and hydraulic factors, especially disc brake diameter and master cylinder pressure. Disc brake diameter determines the effective braking radius, while master cylinder pressure generates hydraulic pressure that is transmitted to the caliper. This study aims to analyze the effect of disc brake diameter and master cylinder pressure variations on the braking distance and braking time of a 110 cc motorcycle. This research used a quantitative experimental method with a Honda Revo Injection 110 cc motorcycle as the test object. The disc brake diameter variations were 190 mm, 220 mm, and 260 mm, while the master cylinder pressures were 2 bar, 4 bar, and 6 bar. Each treatment combination was tested three times at an initial speed of 40 km/h on a dry and flat asphalt road. Braking distance was obtained from front wheel rotation data recorded by a magnetic digital counter, while braking time was determined from video recordings. The data were analyzed using Two-Way ANOVA and response optimization. The results showed that increasing disc brake diameter and master cylinder pressure reduced braking distance and braking time. The best combination was obtained at a 260 mm disc brake diameter and 6 bar master cylinder pressure, producing a braking distance of 12.8 m and a braking time of 2.3 s.

Limited land availability is a major constraint in developing school infrastructure in active urban educational facilities. This study evaluates the classroom development plan at SDN 39 Lubuklinggau from the perspective of a planner, focusing on land limitation, functional needs, safety, constructability, and long-term building performance. A descriptive-evaluative approach was applied through technical observation, document review, alternative assessment, weighted scoring, and risk analysis. The results indicate that horizontal expansion is constrained by limited open space and may reduce internal circulation, student activity areas, and emergency space. Three alternatives were compared: horizontal expansion, building rearrangement, and a two-storey classroom scheme. The two-storey alternative obtained the highest score of 84, compared with 61 for rearrangement and 56 for horizontal expansion. However, its feasibility depends on further soil investigation, structural design, staircase and evacuation safety, utility coordination, construction phasing, and strict site safety control. The study recommends that the planner prioritize detailed site measurement, geotechnical investigation, detailed engineering design, construction safety planning, and post-construction functional evaluation. A vertical classroom strategy can be considered a rational solution for land-constrained schools when supported by accountable technical planning and integrated project control.

Substandard housing remains a multidimensional urban problem because it intersects with structural safety, indoor environmental quality, sanitation, clean water, poverty, and the effectiveness of policy implementation. This study evaluates the implementation of the substandard housing improvement program (RTLH) in Lubuk Linggau City by integrating a technical audit of housing quality with an implementation analysis based on the variables of communication, resources, implementer disposition, and bureaucratic structure. A descriptive-evaluative mixed approach was applied through field observation, technical scoring of ten rehabilitated houses, document review, and structured interviews with regulators, field facilitators, and beneficiary households. The results show that the cumulative technical conformity index reached 3.325 out of 4.00, equivalent to 83%, and was classified as adequate housing. Structural resilience achieved the highest score at 88%, followed by space adequacy at 85%, natural lighting and ventilation at 80%, and sanitation and clean water at 75%. Five houses were classified as adequate housing, while five were classified as fairly adequate/light substandard housing. The implementation analysis indicates that clear practical communication and facilitator assistance strengthened structural quality, but limited financial resources, weak environmental-health prioritization, and administratively oriented supervision reduced sanitation and ventilation performance. The study recommends standardized septic systems, stronger post-construction technical verification, healthy-housing education, realistic unit budgets, and quality-oriented monitoring.

Lead (Pb²⁺) is a hazardous heavy metal commonly found in industrial wastewater and poses serious risks to human health and the environment due to its toxic and non-biodegradable nature. Therefore, an effective and environmentally friendly treatment method is required to reduce Pb²⁺ concentration in wastewater. This study aimed to evaluate the effect of pH and initial Pb²⁺ concentration on the adsorption capacity of ramie leaf (Boehmeria nivea) bioadsorbent activated with NaOH. The adsorption process was conducted using a batch system with pH variations of 4, 5, and 7 and initial Pb²⁺ concentrations of 20, 25, and 30 mg/L. The residual Pb²⁺ concentration was analyzed using Atomic Absorption Spectrophotometry (AAS), and the adsorption performance was evaluated based on removal efficiency and adsorption capacity (Qe). The results showed that pH and initial Pb²⁺ concentration significantly affected the adsorption performance. The optimum adsorption condition was obtained at pH 5, with a maximum removal efficiency of 99.20% and a total adsorption capacity of 18.56 mg/g. The increase in pH from 4 to 5 enhanced adsorption performance due to reduced competition between H⁺ and Pb²⁺ ions for active sites on the adsorbent surface. Increasing the initial Pb²⁺ concentration tended to increase adsorption capacity, although removal efficiency remained relatively stable due to the limited number of active adsorption sites. The Relative Standard Deviation (RSD) values ranged from 1.56% to 3.37%, indicating good precision and repeatability of the experimental data. These findings demonstrate that NaOH-activated ramie leaves have considerable potential as an effective, low-cost, and environmentally friendly bioadsorbent for Pb²⁺ removal from wastewater.

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.

Joint pain is one of the most common health problems among older adults and may reduce mobility and quality of life. Community self-survey data in Cepoko Village indicated that 55% of residents, particularly older adults, experienced joint pain complaints. One non-pharmacological intervention that can be applied is warm lemongrass foot soaking therapy known as SEHATI (Serai Hangat untuk Kaki). This community service activity aimed to improve elderly knowledge regarding self-management of joint pain and demonstrate warm lemongrass foot soaking therapy as a complementary treatment. The methods included health education, demonstration of warm lemongrass preparation, direct practice by participants, and evaluation through discussion and question-answer sessions. The participants were elderly individuals experiencing joint pain in Cepoko Village, Panekan District, Magetan Regency. The results showed that participants actively engaged in all activities, were able to explain the preparation steps of SEHATI, and understood the benefits of warm lemongrass foot soaking therapy for reducing joint pain. This program provides an easy, affordable, safe, and home-based complementary therapy alternative for elderly people.

This community engagement program aimed to strengthen community empowerment through legal and financial literacy initiatives designed to support sustainable social development in Uttarakhand, India. The program involved rural and semi-urban communities, including local residents, youth groups, small entrepreneurs, and women’s associations, many of whom demonstrated limited understanding of legal rights, financial management, and sustainable economic practices. These limitations reduced their participation in local development initiatives and community decision-making processes. To address these challenges, the program implemented participatory workshops, legal awareness campaigns, financial literacy training, and mentoring activities over a three-month period involving 60 participants. The findings indicated significant improvements in participants’ understanding of legal rights, budgeting practices, savings management, entrepreneurial planning, and financial decision-making skills. Qualitative results further revealed stronger community participation, increased confidence in social engagement, and improved awareness regarding social responsibility and sustainable development. Participants also became more actively involved in local economic and community activities after completing the program.

Embroidery is one of Indonesia’s traditional craft arts that has developed over time and continues to attract people from various social backgrounds. Embroidery techniques are commonly applied to fashion products as well as household items. The diversity of embroidery motifs and techniques provides aesthetic value and uniqueness to each product, making embroidery an important element in the development of the fashion industry. This opportunity can encourage students of the Fashion Design Program at AKS Ibu Kartini to develop their entrepreneurial potential through creativity in manual embroidery. This study employed a quantitative approach using multiple linear regression analysis as the data processing technique to determine the influence of internal factors on the entrepreneurial motivation of Fashion Design students at AKS Ibu Kartini. The research sample consisted of 65 respondents. The findings revealed that, simultaneously, the four independent variables had a significant effect on entrepreneurial motivation, with a coefficient of determination (R²) value of 0.910. This indicates that 91% of the variation in entrepreneurial motivation can be explained by technical knowledge (X1), technical skills (X2), creativity and innovation (X3), and entrepreneurial mindset (X4), while the remaining 9% is influenced by other factors outside this study. Partially, variables X1, X2, and X4 showed a positive and significant effect on entrepreneurial motivation, whereas X3 demonstrated a negative and significant effect. This finding indicates that creativity without market orientation may reduce students’ motivation to engage in entrepreneurship. The implications of this study emphasize the importance of improving students’ knowledge, skills, and entrepreneurial mindset. Furthermore, proper guidance is needed to ensure that students’ creativity and innovation are aligned with market demands in order to optimally enhance entrepreneurial motivation.

The rapid population growth in urban areas has caused various complex problems, such as congestion, air pollution, and the high use of private vehicles, so that it becomes a challenge in realizing sustainable cities and settlements. Public transportation is present as one of the solutions in overcoming these problems because it can increase community mobility and reduce negative impacts on the environment. This study aims to analyze the implementation of Mass Rapid Transit (MRT), Light Rail Transit (LRT), TransJakarta, and Electric Rail Trains (KRL) in supporting the achievement of SDGs 11 Sustainable Cities and Settlements. This study uses a descriptive qualitative method with a literature study approach. The results show that the MRT and KRL contribute to efforts to reduce carbon emissions and congestion, TransJakarta excels in the aspect of cost affordability while the LRT plays a role in improving urban connectivity efficiently. Thus, public transportation palas an important role in realizing sustainable cities and settlements with the integration between modes of public transportation which is the main factor in supporting the achievement of SDGs 11 optimally.