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This study was motivated by the phenomenon of increasing anti-feminism and digital misogyny in Germany, where constitutionally guaranteed equality has suffered a practical setback in the form of a decline in female representation in the Bundestag to 32,4%. This situation has triggered an urgent need for persuasive communication through state addresses. This study aims to analyze the emotional rhetoric (pathos) and intonation strategies in the Ansprache zum Welt-Frauentag in order to raise audience awareness. The method used is a mixed method of qualitative analysis of rhetoric by Aristoteles (2007) and quantitative digital acoustic analysis using Praat software supported theory by Kohler (1995). The data for this analysis are transcripts and audio recordings of the Ansprache zum Welt-Frauentag delivered by Bundespräsident Steinmeier. The results of the study identified three typologies of relationships between diction and intonation, namely contradiction, in which emotional diction is delivered in a flat tone to maintain objectivity; compensation, in which neutral legal references are given emotional weight through a rise in tone (late peak); and parallelism, which is the harmony between emotional diction and the highest voice frequency to build strong authority. Thus, this study confirms that the effectiveness of persuasion in a speech does not only depend on the text, but also on the flexibility of manipulating voice frequency, which strategically functions as an instrument for navigating the audience’s emotions.

High-quality forage selection is a central factor in improving Bali cattle performance, particularly in smallholder systems that rely heavily on local feed resources. This study evaluated the effects of odot grass (Pennisetum purpureum cv. Mott) and pakchong grass (Pennisetum purpureum cv. Thailand) on feed intake, average daily gain, and feed conversion ratio of male Bali cattle. The experiment was conducted for 30 days from February to March 2026 at CV. RnB Farm, Gorontalo Regency. Nine male Bali cattle with relatively homogeneous initial body weights of 150–200 kg was assigned to a completely randomized design with three treatments and three replications. The treatments were P0, field grass as the control; P1, 100% odot grass plus concentrate; and P2, 100% pakchong grass plus concentrate. Dry matter intake did not differ significantly among treatments, with values of 6.47 ± 0.19, 6.52 ± 0.19, and 6.55 ± 0.16 kg/head/day for P0, P1, and P2, respectively. In contrast, average daily gain differed significantly, with the highest value observed in P2 at 0.56 ± 0.08 kg/head/day, followed by P1 at 0.52 ± 0.09 kg/head/day and P0 at 0.45 ± 0.06 kg/head/day. Feed conversion ratio also differed significantly, with the most efficient value recorded in P2 at 11.98 ± 2.10. These findings indicate that pakchong grass combined with concentrate provides the best feed efficiency and growth performance, while odot grass remains a promising alternative forage for improving Bali cattle productivity.

Stunting remains a major public health challenge in Indonesia, requiring systematic early detection and community-based interventions. This community service activity aimed to implement early stunting detection through parental health education and anthropometric measurements of children under five at Posyandu Pasir Putih, Kelurahan Baurung, Kecamatan Banggae Timur, Kabupaten Majene, West Sulawesi. A participatory approach was used, combining interactive health education sessions with standardized anthropometric screening (weight, height/length, mid-upper arm circumference, and head circumference) for 35 toddlers aged 0–59 months. Parental knowledge was assessed using pre-test and post-test questionnaires administered to 38 parents. Results showed a significant increase in parental knowledge, from a mean pre-test score of 52.4 (poor category) to 81.6 (good category) on post-test. Anthropometric assessment revealed that 13 out of 35 toddlers (37.1%) were identified as stunted (25.7% stunted; 11.4% severely stunted). All identified cases were referred to the local health center (Puskesmas) for specific nutritional interventions including supplementary feeding and intensive nutrition counseling. These findings indicate that integrated anthropometric screening combined with targeted parental education is an effective strategy for early stunting identification at the community level. Posyandu plays a crucial role as a platform for translating anthropometric data into meaningful risk communication and promoting sustained community engagement in child growth monitoring

Food safety of fresh fish is an important concern because fish is highly perishable and may be misused with hazardous preservatives such as formalin. This study aimed to determine formalin content and analyze the relationship between length and weight of Nile tilapia (Oreochromis niloticus) and formalin levels in traditional markets of Gorontalo City. The study was conducted from January to February 2026 in five traditional markets, namely TPI Tenda, Moodu, Potanga, Andalas, and Sentral. Nile tilapia samples were analyzed using a formaldehyde test kit, and formalin levels were expressed in ppm. Total length and fish weight were measured, and the relationship between physical size and formalin content was analyzed using Pearson correlation. The results showed that all Nile tilapia samples tested positive for formalin, with concentrations ranging from 0.11 to 0.23 ppm. The highest formalin levels were found in TPI Tenda and Moodu, each at 0.23 ppm, while the lowest level was found in Sentral at 0.11 ppm. Fish length ranged from 19.43 to 25.61 cm, while fish weight ranged from 0.17 to 1.78 g. The correlations between length and formalin content and between weight and formalin content were both very strongly negative, with r = -0.97. These findings indicate that smaller fish tended to contain higher formalin levels. Market supervision, trader education, and formalin-free fish handling practices should be strengthened to protect consumer health.

The availability of a reliable backup power source is essential for supporting the operational continuity of the Indonesian National Army Fuel Filling Station (SPBT) at the Naval Academy (AAL). Interruptions in the main electrical supply can disrupt fuel distribution activities and reduce operational readiness. This study aims to determine the most appropriate emergency generator as a backup power source for SPBT AAL using the Analytical Hierarchy Process (AHP) method. Data were collected through observations, interviews, documentation, and questionnaires administered to experts with competencies in electrical systems and operational management. The evaluation was based on three criteria: purchase cost, spare parts availability, and ease of maintenance. Five generator alternatives were assessed, namely Cummins C10D6, Yanmar YTG10S, Traknus PL15P-SS, Honda EM10000, and Yamaha EF12000E. The results indicate that ease of maintenance is the most influential criterion with a priority weight of 0.627, followed by spare parts availability at 0.280 and purchase cost at 0.094. The global priority ranking shows that Yanmar YTG10S achieved the highest score of 0.438, making it the most suitable emergency generator for SPBT AAL. Furthermore, the consistency ratio (CR) values were below 0.10, indicating that the respondents’ judgments were consistent and that the results are valid for decision-making purposes.

Bariatric surgery is effective in treating obesity and type 2 diabetes mellitus (T2DM); however, pregnancy occurring within 12–24 months after surgery carries significant risks. This report presents a complex pregnancy case in a patient with a history of sleeve gastrectomy, post-hemithyroidectomy hypothyroidism, and T2DM. A 29-year-old primigravida conceived 2 months after undergoing sleeve gastrectomy, which successfully induced T2DM remission, with HbA1c decreasing from 11% to 5.5%. Although glycemic control and euthyroid status were maintained throughout pregnancy, the patient developed severe preeclampsia at 35–36 weeks of gestation, complicated by intrauterine growth restriction (IUGR) and oligohydramnios. An emergency cesarean section delivered a male infant weighing 2000 grams with Apgar scores of 8 and 9 at the first and fifth minutes, respectively. The neonate required 14 days of NICU care due to respiratory distress syndrome, respiratory failure, and hyperbilirubinemia. Maternal gestational weight gain was suboptimal at only 4 kg, below the recommended range for pregnant women with obesity. This case highlights the importance of adhering to the recommended surgery-to-conception interval following bariatric surgery. Early pregnancy after surgery, combined with multiple metabolic comorbidities, may contribute to adverse maternal and neonatal outcomes. Multidisciplinary management, comprehensive nutritional monitoring, and optimization of comorbidities before conception are essential to improve pregnancy outcomes in this population.

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.

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

Recent Internet of Things (IoT) intrusion detection studies have reported near-perfect benchmark performance for Distributed Denial of Service (DDoS) detection, yet limited attention has been given to understanding how different traffic representations contribute to the detection process under highly imbalanced traffic conditions. This study presents an ablation-driven analysis to investigate the contribution of statistical and temporal representations for large-scale IoT DDoS detection using the CICIoT2023 dataset. Three experimental scenarios are evaluated, including statistical representation, temporal sequence representation, and hybrid statistical–temporal representation. Temporal representations are learned using a one-dimensional Convolutional Neural Network (1D-CNN) with lag-based traffic sequences, while ensemble tree-based classifiers are employed for final classification and representation analysis. In addition, multiple ablation configurations are designed to evaluate the impact of temporal dependency modeling and feature engineering strategies on detection performance. Experimental results show that statistical traffic representations remain highly effective for DDoS detection on CICIoT2023, achieving 99.36% accuracy and 99.31% weighted F1-score in the statistical representation scenario. Feature importance analysis further indicates that engineered statistical features contribute substantially more to the classification process than CNN-based temporal representations. Although temporal modeling captures sequential traffic behavior, its contribution is relatively limited and mainly acts as a complementary representation. Furthermore, the hybrid configuration produces only marginal improvements over the statistical representation alone. These findings highlight the importance of representation-level analysis for understanding the actual contribution of statistical and temporal modeling in modern IoT intrusion detection systems beyond relying solely on benchmark accuracy.

Stunting remains a significant nutritional issue because it can impact a child's long-term growth and development. A history of low birth weight (LBW) is suspected to play a role, reflecting the condition of fetal growth during pregnancy. This study aimed to determine the relationship between a history of LBW and the incidence of stunting in children aged 2–5 years at the Bandarharjo Community Health Center in Semarang in 2025. This study used an analytical design with a case-control approach. The study sample consisted of 203 toddlers selected using consecutive sampling. Data were obtained from the KIA book and height measurements based on WHO standards. Analysis was performed using the Chi-Square test and Odds Ratio (OR) calculation. The proportion of LBW was 10.8% and stunting was 31.0%. There was a significant relationship between a history of LBW and the incidence of stunting (p = 0.012). Toddlers with a history of LBW had approximately a threefold greater risk of experiencing stunting compared to toddlers born with normal weight (OR = 3.059). There is a relationship between a history of low LBW and the incidence of stunting in toddlers aged 2-5 years at the Bandarharjo Community Health Center, Semarang in 2025.

Low Birth Weight (LBW) refers to infants born with a birth weight of less than 2,500 grams and remains an important issue in neonatal health due to its association with increased neonatal morbidity and mortality. To analyze the determinants of LBW based on primary studies published from 2021 to 2026. A literature review was conducted using the PRISMA approach. Article searches were performed through PubMed, Google Scholar, Scopus, ScienceDirect, and ProQuest using the keywords low birth weight, determinant factors, risk factors, BBLR, and faktor risiko with Boolean operators AND/OR. The inclusion criteria were primary studies, full-text availability, publication in Indonesian or English, and publication years from 2021 to 2026. A total of 20 articles were included, consisting of 15 international articles and 5 national sources. The review showed that LBW is influenced by interrelated maternal, nutritional, obstetric, and sociodemographic factors during pregnancy. The most dominant factors included multiple pregnancy with an adjusted OR of 21.74, maternal food insecurity with an AOR of 6.85, maternal hemoglobin level <11 g/dL with an AOR of 5.21, lack of iron-folic acid supplementation with an AOR of 4.17, maternal age ≤20 years with an AOR of 3.42, pregnancy interval <1 year with an adjusted OR of 2.92, missed antenatal care visits with an AOR of 2.74, smoking during pregnancy with an OR of 2.18, and maternal hypertension with an AOR of 1.94. LBW is influenced by multiple interrelated factors; therefore, efforts to reduce its incidence should focus on evidence-based interventions, particularly through optimizing antenatal care services, improving maternal nutritional status, and early detection of pregnancy.

The selection process for accepting new employees is one of the important stages in a company to ensure that the candidates accepted have qualifications that suit the company's needs. At WINMART, the selection process is still carried out manually, so it is less efficient and prone to errors. Therefore, a system is needed that can assist in more objective and efficient decision making. This Decision Support System (DSS) is designed to assist the selection process for recruiting new employees using the Simple Additive Weighting (SAW) method, which can assess several relevant criteria, such as work experience, education, skills and competency tests. This system was built on a web basis, so it can be easily accessed by parties involved in the selection process, such as HRD and managers. The SAW method was chosen because of its ability to convert various subjective criteria into more objective numerical scores, so that selection results can be more transparent and accountable. By using this system, it is hoped that it can increase efficiency, accuracy and transparency in the new employee selection process at WINMART, as well as facilitate decision making in selecting candidates who best suit the desired criteria.

Artificial intelligence has the potential to support radiology workflows by assisting in the identification of cases that may require additional clinical attention. However, alert-oriented medical AI systems should provide not only classification outputs but also interpretable evidence that can be reviewed and audited by clinicians. This study develops and evaluates an explainable multimodal framework for binary chest X-ray alert classification using paired radiology reports and chest X-ray images. The text branch employs TF-IDF n-gram features with a class-balanced Logistic Regression classifier, while the image branch fine-tunes a pretrained ResNet18 model. The two branches are integrated through probability-level late fusion using a validation-selected fusion weight. Explainability is implemented in a modality-specific manner: global coefficient analysis is used to identify influential textual cues, while Grad-CAM heatmaps are used to visualize salient image regions. Experiments were conducted on paired samples from the Open-i/IU X-Ray dataset using text-only, image-only, and fusion-based evaluation settings. Additional analyses include case-level complementarity analysis, bootstrap confidence intervals for ROC-AUC, shortcut-feature inspection, and qualitative Grad-CAM auditing. The results indicate that the text modality provides the dominant predictive signal under the current proxy-label setting. Late fusion produced a small descriptive improvement on the test set, increasing accuracy from 0.8533 to 0.8667, F1-score from 0.8817 to 0.8936, and ROC-AUC from 0.8936 to 0.9025 compared with the text-only baseline. However, the observed ROC-AUC improvement was not statistically conclusive based on bootstrap analysis. These findings suggest that the proposed framework is useful as a reproducible and auditable multimodal prototype, while also highlighting important limitations, including proxy-label ambiguity, potential label leakage from radiology reports, limited image-branch contribution, lack of external validation, and the need for stronger explanation and calibration assessment.

Neonatal sepsis is a major factor contributing to morbidity and mortality in newborns. C-Reactive Protein (CRP) and leukocytes are laboratory tests used as indicators of inflammation. This study aims to determine the relationship between C-Reactive Protein levels and leukocyte profiles in neonatal sepsis patients. The research method used was an observational analytic with a cross-sectional approach. Neonatal sepsis at PKU Muhammadiyah Yogyakarta in the period 2021-2026 consisted of 30 samples using a total sampling technique. The distribution of respondents was dominated by male gender compared to female gender, who had a low birth weight <2,500 grams. Based on the study, normal CRP levels were found in 21 respondents, which was caused by a delay in increasing CRP levels. Leukocytes had high levels in 18 respondents. Leukocytes are an initial phase of examination in detecting inflammation that does not require a long time, have several different morphological types in detecting inflammation in the body. This study shows that the most dominant increase in leukocyte levels is found in eosinophils and neutrophils. Based on medical record data at PKU Muhammadiyah Hospital Yogyakarta, analysis using the Spearman correlation test yielded a correlation coefficient of 0.261 with a significance value of 0.164 (p > 0.05). The results showed no significant relationship between the studied variables, with a positive direction and weak correlation strength. The conclusion of this study is that there is no significant relationship between C-Reactive Protein levels and leukocyte profiles in neonatal sepsis patients.

Neonatal sepsis is a major factor contributing to morbidity and mortality in newborns. C-Reactive Protein (CRP) and leukocytes are laboratory tests used as indicators of inflammation. This study aims to determine the relationship between C-Reactive Protein levels and leukocyte profiles in neonatal sepsis patients. The research method used was an observational analytic with a cross-sectional approach. Neonatal sepsis at PKU Muhammadiyah Yogyakarta in the period 2021-2026 consisted of 30 samples using a total sampling technique. The distribution of respondents was dominated by male gender compared to female gender, who had a low birth weight <2,500 grams. Based on the study, normal CRP levels were found in 21 respondents, which was caused by a delay in increasing CRP levels. Leukocytes had high levels in 18 respondents. Leukocytes are an initial phase of examination in detecting inflammation that does not require a long time, have several different morphological types in detecting inflammation in the body. This study shows that the most dominant increase in leukocyte levels is found in eosinophils and neutrophils. Based on medical record data at PKU Muhammadiyah Hospital Yogyakarta, analysis using the Spearman correlation test yielded a correlation coefficient of 0.261 with a significance value of 0.164 (p > 0.05). The results showed no significant relationship between the studied variables, with a positive direction and weak correlation strength. The conclusion of this study is that there is no significant relationship between C-Reactive Protein levels and leukocyte profiles in neonatal sepsis patients.

Diabetes mellitus, as a persistent non-infectious metabolic pathology increasingly prominent in the global epidemiological spectrum, is fundamentally characterized by dysfunctional hyperglycemia rooted in primary disruptions of pancreatic insulin hormone synthesis or peripheral resistance to its biological action, thereby inducing dynamic imbalances in gluconeogenesis and glycolysis pathways; amid the hypothesis that body mass index (BMI) as a measure of central adiposity potentially mediates variability in serum glucose levels, this quantitative observational study with a cross-sectional design rigorously tests the causal relationship between BMI and fasting/random blood glucose concentrations in a cohort of 134 adult subjects with type 2 diabetes mellitus affiliated with primary care services at Puskesmas Bongo II, Boalemo Regency, through an inclusive total sampling recruitment strategy, precision anthropometric measurement instruments (height, weight, WHO BMI categorization), and laboratory-validated glucometric validation, with multivariate inferential processing based on the Chi-Square independence test at a Type I error rate of α=0.05 using the latest edition of the SPSS analytical suite; the demographic profile highlights female gender supremacy (90 individuals, 67.2%), the normoweight group (78 cases, 58.2%), concurrent with substantial glycemic elevation prevalence (78 subjects, 58.2%), but the crucial statistical output reveals a p-value of 0.831 (>0.05) that negates any probabilistically meaningful association, thus the substantive conclusion affirms the non-significance of the BMI-glucose relationship in this local context, while implying the dominance of alternative etiopathogenic factors such as hypercaloric macronutrient intake patterns, deficits in aerobic/anaerobic physical activity, non-adherence to multidisciplinary pharmacological protocols (e.g., metformin/oral hypoglycemics), and a comprehensive management paradigm integrating behavioral education, continuous monitoring, and personalized interventions to mitigate long-term cardiovascular risks across the diabetes mellitus spectrum.

Diabetes mellitus, as a persistent non-infectious metabolic pathology increasingly prominent in the global epidemiological spectrum, is fundamentally characterized by dysfunctional hyperglycemia rooted in primary disruptions of pancreatic insulin hormone synthesis or peripheral resistance to its biological action, thereby inducing dynamic imbalances in gluconeogenesis and glycolysis pathways; amid the hypothesis that body mass index (BMI) as a measure of central adiposity potentially mediates variability in serum glucose levels, this quantitative observational study with a cross-sectional design rigorously tests the causal relationship between BMI and fasting/random blood glucose concentrations in a cohort of 134 adult subjects with type 2 diabetes mellitus affiliated with primary care services at Puskesmas Bongo II, Boalemo Regency, through an inclusive total sampling recruitment strategy, precision anthropometric measurement instruments (height, weight, WHO BMI categorization), and laboratory-validated glucometric validation, with multivariate inferential processing based on the Chi-Square independence test at a Type I error rate of α=0.05 using the latest edition of the SPSS analytical suite; the demographic profile highlights female gender supremacy (90 individuals, 67.2%), the normoweight group (78 cases, 58.2%), concurrent with substantial glycemic elevation prevalence (78 subjects, 58.2%), but the crucial statistical output reveals a p-value of 0.831 (>0.05) that negates any probabilistically meaningful association, thus the substantive conclusion affirms the non-significance of the BMI-glucose relationship in this local context, while implying the dominance of alternative etiopathogenic factors such as hypercaloric macronutrient intake patterns, deficits in aerobic/anaerobic physical activity, non-adherence to multidisciplinary pharmacological protocols (e.g., metformin/oral hypoglycemics), and a comprehensive management paradigm integrating behavioral education, continuous monitoring, and personalized interventions to mitigate long-term cardiovascular risks across the diabetes mellitus spectrum.

Malnutrition among children under five remains a major public health concern, particularly in areas with limited access to nutritious food and health services. This study aimed to determine the prevalence of stunting, underweight, and wasting among children under five in Kuatnana District, South Central Timor Regency in 2025. This research used a descriptive cross-sectional design with secondary data obtained from nutrition program reports at Tetaf Public Health Center. The sample included all children aged 0–59 months, totaling 1,179 children. Data were analyzed using univariate analysis to calculate frequency distribution and percentages based on WHO anthropometric indicators (z-score). The results showed that the prevalence of stunting was 44.78%, underweight 40.46%, and wasting 14.76%. Most children had normal nutritional status based on weight-for-height index (88.38%), although a considerable proportion still experienced undernutrition. In conclusion, malnutrition among children under five in Kuatnana District remains high, particularly stunting and underweight. Integrated interventions are needed, including improving caregiving practices, increasing access to nutritious food, and strengthening health services to reduce malnutrition sustainably.

Sweet corn (Zea mays saccharata Sturt.) is an increasingly popular horticultural commodity in Indonesia, attracting both farmers and consumer. This study aims to evaluate the effectiveness of single‑micronutrient fertilizer Mn‑EDTA (12%) in enhancing the growth and yield of sweet corn (Zea mays saccharata Sturt.). The treatments consisted of control, standard NPK, 0.25 NPK, 0.50 NPK, 0.75 NPK, and 1.00 NPK. The experimental findings demonstrated that the application of single‑micronutrient Mn‑EDTA (12%) fertilizer had a highly significant effect on vegetative growth and yield components of sweet corn, with statistically higher values compared with the control treatment. In general, fertilizer dosages equivalent to 0.25–1.00 NPK produced greater plant height, stem diameter, leaf number, ear length, ear diameter, biomass weight, ear weight with husk, ear weight without husk, plot yield, and productivity than the control. The RAE calculation indicated that the fertilizer was effective when applied at dosages equivalent to 0.75 and 1.00 NPK. The highest effectiveness was observed at the 1.00 NPK dosage, with an RAE value of 101%. Notably, the application of Mn‑EDTA (12%) fertilizer at the 1.00 NPK dosage provided significant field effectiveness, as reflected by the RAE value of 101%. This result implies that the use of single‑micronutrient Mn‑EDTA (12%) fertilizer at the 1.00 NPK dosage increased yield by 1.01 times compared with the yield improvement obtained from the reference fertilizer relative to the control treatment.

The fisheries sector plays an important role in Indonesia’s economy due to its abundant marine resources; however, unsustainable fishing activities have caused damage to marine ecosystems and a decline in biodiversity. To support sustainable fisheries management, the use of environmentally friendly fishing gear is essential. At the Tenau Coastal Fishing Port (PPP Tenau) in Kupang, East Nusa Tenggara, handline fishing is the most commonly used traditional fishing method among small-scale fishers because it is selective and causes minimal habitat disturbance. This study aims to analyze the environmental friendliness level of handline fishing gear based on the nine criteria of the Code of Conduct for Responsible Fisheries (CCRF) established by FAO in 1995, which include gear selectivity, habitat impact, fisher safety, catch quality, product safety, by- catch, biodiversity impact, capture of protected species, and social acceptance. The research was conducted from November 2025 to January 2026 using a descriptive quantitative method involving 30 handline fishermen selected from a population of 420 using the Slovin formula with a 20% error rate. Data were collected through observation, interviews, and documentation, then analyzed using a weighting system based on the guidelines of the Ministry of Marine Affairs and Fisheries (2006). The results are expected to show that handline fishing is categorized as environmentally friendly to highly environmentally friendly and can serve as a basis for developing sustainable fisheries management policies in East Nusa Tenggara.