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Digital evolution in the pattern of social interaction of the community also has a significant influence on the dynamics of the national judicial system. The transformation covers all judicial sectors, both religious and public, especially related to the technique of presenting evidence in the litigation process. This research is carried out with normative legal methods and is descriptive analytical. The author utilizes secondary data obtained through library search, which is then processed with qualitative normative analysis techniques. The legitimacy of screenshots as evidence has been explicitly regulated in applicable regulations. Referring to the renewal of the ITE Law in Law Number 1 of 2024, Article 5 paragraph (1) affirms that electronic information and its printed results are recognized as valid evidence before the law. This study shows that normatively, screenshots have a strong legal position in the civil system. However, in the reality of the trial, this instrument is positioned as a free evidence (vrij bewijs), which means that the weight of the evidence is not absolute and depends on the judge's evaluation and conviction.

Nutritional problems among children under five remain a public health concern in Indonesia, including in the working area of Semitau Public Health Center, Kapuas Hulu Regency. Nutritional status is an important indicator in assessing child growth and development. Nutritional disorders such as undernutrition, severe undernutrition, and stunting may have long-term impacts on health, cognitive development, and productivity. Therefore, regular monitoring of nutritional status is necessary to determine the nutritional profile of children under five in the Semitau Public Health Center area. Objective: This study aimed to describe the nutritional status of children under five based on Weight-for-Age (W/A), Height-for-Age (H/A), and Weight-for-Height (W/H) indicators, as well as to describe the characteristics of mothers and children. Methods: This study used a descriptive method with a retrospective approach. Data were obtained from the recap of child weighing results in March 2025 in the working area of Semitau Public Health Center. The study population consisted of 395 children aged 0–59 months, with 351 children meeting the inclusion criteria selected using total sampling technique. Data were analyzed univariately to obtain the frequency distribution of nutritional status. Results: Based on W/A, 77% of children had normal nutritional status, 13.5% were undernourished, 6.1% were severely undernourished, and 1.0% were overweight. Based on H/A, 62.1% were normal, 20.8% were stunted, 11.5% were severely stunted, and 1.8% were tall. Based on W/H, 76.4% had normal nutritional status, 7.9% were undernourished, 2.0% were severely undernourished, 3.1% were overweight, and 2.6% were obese. Conclusion: The majority of children under five in the Semitau Public Health Center area had normal nutritional status. However, the stunting prevalence of 32.3% remains high according to WHO classification. Strengthening nutritional monitoring through integrated health posts and providing parental education on balanced nutrition are recommended.

The implementation of Clean and Healthy Living Behavior (PHBS) begins at an early age, particularly among school children, who learn extensively from their surrounding environment through the School Health Program (UKS). Although the family is the primary unit in shaping PHBS habits, parents’ busy schedules often lead children to interact more with teachers and peers at school. This study aims to determine the effectiveness of the UKS program on students’ PHBS at SD Lambaro Angan, Darussalam District, Aceh Besar Regency in 2024. This research employed a cross-sectional design with a population of 321 students and a sample of 76 respondents. Data collection was conducted on March 4, 2024. The results indicate that the UKS program has a significant effect on students’ PHBS, including habits such as washing hands with running water and soap, purchasing healthy snacks at the school canteen, disposing of waste properly, participating in physical exercise, not smoking at school, eliminating mosquito larvae, and using school sanitation facilities (p < 0.05). However, no significant effect was found on activities such as weighing body weight and measuring height. In conclusion, the UKS program is effective in improving students’ PHBS. These findings are expected to provide input for schools to optimize the implementation of UKS and enhance PHBS promotion so that students can apply clean and healthy living behaviors in their daily lives.

Tinea incognito is a dermatophyte fungal infection when the clinical picture becomes unclear due to inappropriate treatment, which is usually caused by the use of topical steroids in cases of skin infections. A 46-year-old woman came with complaints of itchy reddish patches all over her body, experienced for 2 years. The itching worsened when consuming anchovies. The patient said she often took medication bought from a pharmacy without a doctor's prescription, the patient took methylprednisolone tablets and ointment. The itching complaint improved, but after stopping taking the medication, the itching complaint increased, and the patches widened. The patches first appeared on the right leg, initially resembling prickly heat spots then widened and spread to other parts of the body. Currently, the patches appear red in the shape of a ring with a clearer center. The patches were found on the face, neck, chest, abdomen, back, buttocks, left hand, and left foot. The patient noticed within a few months after taking the medication that her body was swollen, her weight increased, and her face looked rounder. A 20% KOH examination found hyphae and spores. Thus, the patient was diagnosed with Tinea Incognito caused by long-term topical steroid use. The patient was prescribed antifungal therapy with Ketoconazole 200 mg tablets once daily and Ketoconazole cream twice daily.

Cloud job-length prediction remains challenging when the target distribution is highly skewed and contains rare extreme values. This study proposes a log-transformed, regime-based machine learning framework for robust prediction of cloud job length, represented in million instructions (MI). The approach integrates sequential feature engineering, logarithmic target transformation, weighted learning, and regime-aware modeling to distinguish between normal and extreme job-length behavior. Using an ordered GoCJ-derived cloud job-length sequence of 1000 jobs, the dataset exhibits a heavy-tailed distribution, with a mean of 129,662 MI, a median of 93,000 MI, a 95th percentile of 525,000 MI, a 99th percentile of 900,000 MI, and a skewness of 3.695. The proposed model is evaluated against sequential baselines and stronger machine learning baselines, including Naive_Last, RollingMean_5, Global_Log_ExtraTrees, RandomForest, GradientBoosting, and MLP_Log. On the main test split, the proposed Regime_Log_ExtraTrees achieved the best RMSE of 206,255.66 and the least negative R² of −0.01062, while Global_Log_ExtraTrees remained competitive in terms of MAE, MedAE, and RMSLE. Additional walk-forward validation confirms that the regime-aware model consistently achieves the best mean RMSE and mean R² across temporal folds. Ablation results further show that regime-aware learning is the primary contributor to robustness, although accurate prediction of extreme jobs remains challenging. These findings indicate that log-transformed, regime-based learning provides a practical and more robust strategy for cloud job-length prediction under heavy-tailed workload conditions.

This study aimed to analyze the effect of infant massage on growth and development among infants attending Puskesmas Bongo II. Infant massage is recognized as a form of sensory stimulation that enhances neural function, improves blood circulation, and strengthens maternal–infant bonding, thereby potentially supporting optimal physical growth and developmental progress. This research employed an analytic cross-sectional design involving infants aged 0–12 months, with a total sample of 50 infants selected using purposive sampling based on predefined inclusion criteria. Information regarding infant massage practices was collected through structured maternal interviews and categorized into routine massage (≥3 times per week) and non-routine massage. Infant growth was assessed using the weight-for-age (W/A) indicator based on WHO growth standards, while development was measured using the Developmental Pre-Screening Questionnaire (KPSP). Data were analyzed using the chi-square test with a 95% confidence level (p < 0.05). The results showed that infants who received routine massage demonstrated significantly better growth status and developmental outcomes compared to those who did not receive massage routinely. These findings suggest that infant massage is a simple, safe, and practical intervention that can be recommended to support growth and development and may be integrated into maternal and child health services at Puskesmas Bongo II.

Undernutrition among children under five remains a significant public health challenge in Indonesia, including in Ogan Ilir District. This condition can adversely affect growth, cognitive development, and immune function. This study aimed to determine the risk factors associated with undernutrition among children under five in the working area of Seri Tanjung Public Health Center, Ogan Ilir District, in 2025. This was an analytical study with a cross-sectional design. A total of 95 children under five were selected using cluster sampling. Data were collected through structured interviews using a questionnaire and anthropometric measurements of weight-for-age (W/A), then analyzed using the Chi-Square test with a significance level of 0.05. The results showed that economic status (p=0.012; OR=3.25; 95%CI=1.29–8.20), environmental sanitation (p=0.021; OR=2.98; 95%CI=1.18–7.53), infectious diseases (p=0.004; OR=3.85; 95%CI=1.55–9.58), and maternal health history (p=0.037; OR=2.67; 95%CI=1.06–6.74) were significantly associated with undernutrition. The strongest influencing factor was infectious diseases. This study recommends strengthening infection prevention efforts, improving environmental sanitation, providing nutrition education for families, and monitoring maternal health during pregnancy to reduce the prevalence of undernutrition among children under five.

Rice plants (Oryza Sativa L.) are the main staple food commodity in Indonesia, as most of the Indonesian population relies on rice as their primary food. One of the causes of low rice production in Indonesia is that farmers generally cultivate rice improperly, such as in land preparation or land selection. Land suitability in rice cultivation greatly affects crop productivity. A process that can support decisions regarding rice land suitability is the development of a Decision Support System (DSS) website using a combination of the Simple Additive Weighting (SAW) method and the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS). This combination is performed by taking the average (µ) of the final results from the SAW and TOPSIS methods. The final scores of each method are calculated separately, and then the average (µ) of these two results is taken to obtain the final ranking of the alternatives. The data used to determine the suitability of rice land is based on five criteria: soil type, soil pH, rainfall, temperature, irrigation and water supply. The alternative data used in the study includes six alternatives: Sungai Kunjang, Sambutan, Samarinda Utara, Palaran, Loa Janan Ilir, and Samarinda Seberang. The aim of this research is to provide information on alternative solutions to farmers or farmer groups in determining rice land suitability. The results of the combination of the SAW and TOPSIS methods show that the alternative with the highest final score is Samarinda Utara (A3), with a final score of 0.7337. Meanwhile, the alternative with the lowest final score is Sambutan (A2), with a final score of 0.4402.

Based on data from FAO (Food and Agriculture Organization of The United Nations), it has been predicted that the aquaculture subsector will become one of the most relied-upon resources in the future, especially in meeting food needs, fish-based nutritional needs, and empowering the global community's economy (FAO, 2016). Catfish is a type of freshwater fish that can grow and develop well because it can be cultivated in limited land areas (Marsela, 2018). The frequency of feeding is one of the important factors that need to be considered in catfish farming. To determine the effect of different feeding frequencies on the absolute weight of dumbo catfish, a study was conducted using an experimental design called the Completely Randomized Design (CRD), with 3 treatments and a total of 8 replications. The test treatments were as follows: Treatment 1 (feeding twice a day), Treatment 2 (feeding three times a day), and Treatment 3 (feeding four times a day). The results of the ANOVA test showed a significant value of 0.000 (P < 0.05), indicating a significant difference in each of the different feeding frequencies. The analysis of the Least Significant Difference (LSD) test at a 5% significance level also showed that the relationship between each treatment had a significant value of 0.000 (P < 0.05). The average absolute weight of the fish for Treatment 1 was 12.99 grams, for Treatment 2 was 15.03 grams, and for Treatment 3 was 17.03 grams. The highest growth in the absolute weight of dumbo catfish fry occurred in Treatment 3 (feeding four times a day).

As an agricultural country, Indonesia is able to meet the demand for animal protein in the form of meat. Pigs are a potential business opportunity for some people because they are a promising livestock business. The study aims to determine the characteristics of livestock farmers and preferences for pig livestock in Tasinifu Village, Mutis District, North Central Timor Regency. This study was designed using a survey method. The technique for determining the research location used a purposive technique (intentionally) because Tasinifu Village is a village that has the highest pig population in Mutis District, TTU Regency. Data analysis was done using a quantitative descriptive method. The results of the study showed that livestock farmers were aged 18-40 years (31.67%), female farmers (55%), the highest level of education was elementary school (61.67%), the highest number of family dependents was 4-6 people (23.33%), livestock experience was 2-10 years (95%), dominant livestock ownership was 2-5 pigs with the majority of farmers working as farmers (97%), with land area owned 0-025/ha (66.67%). Pigs aged 5-7 months (41.67%), the most commonly raised breed is the Timor pig (75%), with female Calamine (58.33%), black skin (55%), and medium body weight (80%). The livestock raising sistem is intensive (80%), and the use of feed and agricultural waste (62%).

The purpose of this study was to determine the characteristics of livestock farmers and analyze livestock farmers' preferences for the breed of beef cattle raised in Benus Village, Naibenu District, TTU Regency. This study employed a survey method. The research location determination technique used a purposive technique (intentionally) with Benus Village as the village with the highest beef cattle population in Benus District, North Central Timor Regency. The sample of livestock farmers consisted of 60 farmers. The research data consisted of primary and secondary data. Data analysis was descriptive quantitative. The results of the study showed that the majority of livestock farmers were 18-64 years old (83%), male farmers (56.67%), the highest level of education was elementary school (55%), all farmers had their own livestock ownership status (100%), the dominant livestock ownership was 1-4 heads, with the majority of farmers also working as farmers (57%), 90% of farmers had livestock farming experience of more than 1-10 years, the largest number of family dependents was 4-6 people (61.67). The type of beef cattle raised is Bali cattle (100%), breeders prefer female cattle (68%), the age of adult female cattle is 2-4 years (40%), the dominant coat color is brick red and white (76.67%), and the body weight is medium (61.67%). The conclusion of this study is that there is a need for improvements in the characteristics of breeders in the form of training and breeder preferences can be used as a guideline in increasing the number of beef cattle populations.

This study aims to evaluate the growth performance of KUB chickens fed with a combination of fermented agricultural waste, specifically Maggot BSF (Hermetia illucens) and Azolla microphylla. A total of 96 KUB chickens aged 30 days were used in a Completely Randomized Design (CRD) with four treatments and four replications. The treatments consisted of a basal diet substituted with the fermented waste combination at levels of 0% (P0), 5% (P1), 10% (P2), and 15% (P3). Parameters observed included feed consumption, body weight gain (BWG), and Feed Conversion Ratio (FCR). The results showed that increasing the level of waste substitution significantly affected feed consumption due to the bulky nature of the fiber, yet body weight gain remained stable across all treatments. The FCR values ranging from 3.21 to 3.25 indicated that the high-quality protein from Maggot BSF effectively compensated for the reduced feed intake. It is concluded that the substitution of fermented agricultural waste up to 15% (P3) is an optimal and efficient formulation to maintain the growth performance of KUB chickens.

Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline, a comparable Long Short-Term Memory (LSTM) network, a Bahdanau end-attention GRU (Attn-GRU-V2), and a multi-head self-attention GRU hybrid (Attn-GRU-V3). Each architecture is trained over 30 independent runs with distinct random seeds, and performance is reported as 95% confidence intervals derived from the t-distribution. Statistical comparisons employ the Wilcoxon signed-rank test, a nonparametric paired test appropriate given the confirmed non-normality of residuals. The main finding is a consistent trade-off: the plain GRU achieves the lowest RMSE (94.02 ± 1.22 IDR) across all 30 runs, while Attn-GRU-V2 achieves the highest directional accuracy (45.91 ± 0.09%), surpassing GRU in every independent run. Bahdanau attention weights are nearly uniform across the 30-day lookback window (coefficient of variation: 3.21%), indicating that the mechanism cannot identify selectively informative timesteps in this univariate price series. This finding is consistent with the weak-form Efficient Market Hypothesis for the Indonesian market. An ablation study reveals that a 20-day lookback window maximizes directional accuracy (47.72 ± 0.21%) for the Attn-GRU-V2 model. These results suggest that Bahdanau end-attention consistently and significantly improves directional accuracy relative to a plain GRU baseline, providing an architecturally attributable advantage for direction-based applications, even when absolute price-level error is not reduced. The directional accuracy values remaining below 50% across all models are consistent with a weak-form efficiency characterization of the Indonesian market.

The fishing gear operated by fishermen along the coast of Grajagan Beach to catch fish is a bottom gill net, using different mesh sizes of 3, 4, and 6 inches. The method used in this study was the Experimental Fishing method, which involved direct observation over nine repetitions using different mesh sizes. Observations were conducted on the quantity of fish caught, and direct interviews were carried out with fishermen regarding the use of gill nets at Grajagan Beach, Banyuwangi, East Java. The composition of the catch showed that the largest proportion by weight was shovel-nosed ray, accounting for 15%, while lobster represented the highest number of individuals caught, at 12%. To determine whether there was an effect of mesh size on the catch yield, an ANOVA test was conducted and produced significant results, indicating that differences in mesh size significantly influenced the catch. In this study, a follow-up (Post Hoc) test was also performed using Tukey’s Honest Significant Difference (HSD) test. The results of the post hoc test showed that the use of a 6-inch mesh size had a substantial effect on the catch yield.

Biofloc technology is a super-intensive fish cultivation method, which benefits heterotrophic bacteria to harvest organic chemical compounds and amines from fish metabolic residues to be converted into bacterial proteins. The use of probiotics is very important to be carried out in cultivation activities, Probiotics are living microorganisms that have a beneficial effect on humans by balancing the microflora in their intestines. The bacteria in probiotics have a mechanism in forming several enzymes for feed digestion. This study aims to determine the effect of administering Pro Top probiotics with different doses on the absolute weight growth of tilapia (Oreochromis niloticus). Probiotics are mixed with feed with a biofloc cultivation system. The method used in this study is an experimental method with a Completely Randomized Design (CRD) with 4 treatments and 6 replications, namely by adding different doses to the treatment. Treatment A (0.5 grams / kg), B (1 gram / kg), C (2 grams / kg) and D (5 grams / kg). The parameters observed are absolute weight growth. Supporting parameters for air quality are temperature, pH, and DO. Data were analyzed using the ANOVA test. Based on the results of the study, it shows that administering different doses of Pro Top probiotics has a significant effect on the absolute weight growth of tilapia (Oreochromis niloticus). Treatment A (0.5 grams/kg) gave the lowest absolute weight growth of 31.05 grams and treatment D (5 grams/kg) gave the highest absolute weight growth of 40.30 grams. Air quality parameters including air temperature ranged from 25.3 – 26.1°C, acidity level around 7.5 – 8.0. And dissolved oxygen ranged from 4.7 – 5.3 ppm. The results of the analysis of variance (ANOVA) of the three air quality parameters showed no difference between the treatments of tilapia (Oreochromis niloticus).  

Diabetic ketoacidosis (DKA) is a life-threatening acute metabolic complication of diabetes mellitus characterized by hyperglycemia, metabolic acidosis, and ketosis due to absolute or relative insulin deficiency. DKA may present as the initial manifestation of previously undiagnosed diabetes, particularly in young adults. We report a case of a 27-year-old male who presented with decreased consciousness preceded by shortness of breath. The patient had a three-month history of polyuria, polydipsia, polyphagia, and significant weight loss. Physical examination revealed a Glasgow Coma Scale score of 9 and signs of dehydration. Laboratory findings showed severe hyperglycemia (426 mg/dL), elevated HbA1c (8.5%), leukocytosis, and severe metabolic acidosis (pH 6.8; HCO₃⁻ 5.8 mmol/L). The diagnosis of DKA was established based on clinical and laboratory criteria. Management included aggressive fluid resuscitation, continuous intravenous insulin infusion, electrolyte correction, and antibiotic therapy for suspected infection. The patient showed gradual clinical improvement. This case highlights the importance of early recognition, identification of precipitating factors, and prompt management to reduce morbidity and mortality associated with DKA.

Edamame soybean plants are classified as a type of legume, growing upright and with dense leaves. Edamame soybeans can be consumed fresh or processed. One of the soils that can be planted with edamame is peat soil. However, peat soil still has obstacles such as acidic soil conditions and poor nitrogen (N) nutrients in the soil. Low nitrogen content in peat soil can be overcome by adding N fertilizer and photosynthetic bacteria. The use of photosynthetic bacteria in cultivating edamame soybeans can help increase nitrogen supply by fixing nitrogen (N) in the air. This research aims to determine the efficiency of applying a combination of nitrogen fertilizer and photosynthetic bacteria on the growth and yield of edamame soybeans in peat soil. This research was carried out in Pontianak City, with a research duration of approximately 3 months starting from 17 June - 29 August 2023. This research used a Completely Randomized Design consisting of 4 treatment levels, namely; n1= 25 kg/ha N fertilizer + photosynthetic bacteria, n2= 50 kg/ha N fertilizer + photosynthetic bacteria, n3= 75 kg/ha N fertilizer + photosynthetic bacteria, n4= 100 kg/ha N fertilizer + photosynthetic bacteria. The variables observed in this study consisted of plant height, number of productive branches, root volume, plant dry weight, number of root nodules, flowering age, number of pods and pod weight. This research aims to determine the efficiency of applying a combination of nitrogen fertilizer and photosynthetic bacteria on the growth and yield of edamame soybeans in peat soil. The results showed that the combination of nitrogen fertilizer and photosynthetic

Low Birth Weight (LBW) infants are a group of neonates who are highly susceptible to thermoregulation disorders, particularly hypothermia, due to limited subcutaneous fat reserves, a relatively large body surface area, and the immaturity of the temperature regulation system. Untreated hypothermia can lead to serious complications such as hypoxia, sepsis, hypoglycemia, apnea, and failure to gain weight, which ultimately contribute to increased neonatal morbidity and mortality. One of the non-pharmacological nursing interventions that can be used to prevent hypothermia is nesting care, a positioning technique using supportive materials to create a comfortable environment that resembles the intrauterine position.This study aimed to determine the effectiveness of nesting care in LBW infants as an  effort to increase body temperature in infants experiencing hypothermia. The method used was a descriptive case study with a nursing process approach involving three participants. The intervention consisted of nesting care administered for three days, with a duration of 30 minutes once daily using the quarter-prone or semi-prone position. The results showed that after the nesting intervention, two out of three participants experienced an increase in body temperature approaching normal values on the third day. Improvement in the infants' condition was also indicated by reduced crying and longer periods of calm sleep compared to the condition before the intervention. Body temperature measurements and observations of the infants’ condition were conducted periodically to evaluate the effectiveness of the intervention, with an average temperature increase of approximately 0.2°C at the end of the intervention. In conclusion, nesting care can be used as an effective non-pharmacological nursing intervention to help increase body temperature in LBW infants experiencing hypothermia.

Sutera Subdistrict is an area affected by floods and landslides, causing significant damage to residential areas. Most houses suffered severe damage and are no longer habitable, making housing relocation a crucial post-disaster response. This study aims to identify settlements located in disaster-prone zones and determine potential land areas for housing relocation in Sutera. The method applied involves scoring and weighting combined with spatial analysis of various physical parameters and disaster vulnerability levels.The results indicate that Sutera Subdistrict has considerable potential land for housing relocation, with the highest potential found in Nagari Amping Parak Timur. However, the physical characteristics of the area and variations in disaster vulnerability require selective and planned land utilization. Disaster vulnerability maps serve as an essential basis for spatial planning and development control, particularly in determining relocation sites. In addition, strengthening mitigation efforts and enhancing community preparedness are necessary to minimize disaster risks and support the development of a safer and more sustainable area.

Cucumber (Cucumis sativus L.) is a high-value horticultural commodity, but its production has declined due to drought stress affecting plant physiology and female flower formation. To address this issue, the use of mulch and planting spacing can modify the microclimate and reduce inter-plant competition. This study aimed to evaluate the effects of rice straw mulch and planting spacing on the growth, yield, and environmental conditions of cucumber. A factorial randomized block design was employed with two factors: mulch (no mulch and rice straw mulch) and planting spacing (40 × 60 cm, 50 × 50 cm, and 60 × 40 cm), replicated four times. Observed variables included vegetative growth, number of male and female flower, yield, soil temperature, and soil moisture. The study was conducted from June to August 2025 at the Agrotechnopark, Brawijaya University. The results showed a significant interaction between rice straw mulch and 50 × 50 cm planting spacing on fruit diameter, fruit length, fruit weight per fruit, fruit weight per plant, and plant productivity. This combination also created a more stable soil environment. It is concluded that the application of rice straw mulch with a 50 × 50 cm planting spacing is the optimal combination for enhancing cucumber growth and yield through improved microclimate conditions, however, these research are limited to a single growing season and a single experimental location.