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This research documents and analyzes the variations of banana (gedhang) names in the Southern Brebes dialect of the Javanese language from a sociolinguistic viewpoint. The study explores how language reflects social and cultural realities within a local community. Indonesia’s vast cultural and linguistic diversity makes the study of regional registers essential for understanding how people use language to represent their environment. The Southern Brebes area shows a wide range of banana varieties, each identified by distinct local names that convey information about their physical traits, uses, and cultural significance. These linguistic variations also have educational potential, particularly as supplementary materials for courses such as Pharmaceutical Botany. The research further examines social, cultural, and environmental factors shaping the creation and usage of these names. Findings are expected to enhance understanding of the Javanese lexical system especially the Southern Brebes dialect and to highlight the deep connection between language, culture, and identity. Ultimately, this study contributes to the preservation of local linguistic and cultural heritage.

Sentiment analysis for Indonesian regional languages faces two persistent challenges: labeled training data is extremely limited for most regional varieties, and transformer models pre-trained on Bahasa Indonesia do not generalize reliably to languages with substantially different morphological structures. Prior work on the NusaX benchmark has primarily relied on direct fine-tuning, treating each regional language independently and without exploiting linguistic proximity between related languages as a transfer signal. This paper proposes Language-Similarity-Guided Transfer (LSGT), a sequential fine-tuning strategy that first adapts a pre-trained model to a pivot language selected using character trigram similarity, followed by fine-tuning on the target language. Four transformer models are evaluated across all 12 NusaX languages using the official train/validation/test splits: IndoBERT, NusaBERT, mBERT, and XLM-R. Performance is evaluated using four metrics: accuracy, macro F1, macro precision, and macro recall. Experimental results show that LSGT improves macro F1 in 44 of 48 model-language combinations, demonstrating that the fine-tuning strategy itself is a major factor in low-resource cross-lingual sentiment classification. XLM-R benefits most strongly from LSGT, achieving an average improvement of +0.137 macro F1 and a peak gain of +0.298 on Madurese. SHAP-based token attribution analysis further reveals that predictions rely heavily on named entities and domain-specific nouns rather than sentiment-bearing vocabulary, indicating a dataset-level bias inherited from the original SmSA corpus and propagated through the NusaX translation pipeline.

Chrysanthemum is an ornamental plant widely cultivated in Indonesia, with various varieties that have unique and attractive characteristics. Each variety responds differently to changes in light intensity. Providing shade can help regulate the light intensity received by chrysanthemum seedlings during the acclimatization stage. This study aimed to determine the best shade percentage for the acclimatization growth of three chrysanthemum varieties. The research was conducted in the screenhouse of the Faculty of Agriculture, Tanjungpura University, for three months, from October to December 2024. The experiment used a Split Plot Design (Split Plot) with a Randomized Block Design (RBD), consisting of two factors: shade percentage and variety. There were three levels of shade and three chrysanthemum varieties, resulting in nine treatment combinations. Each treatment was repeated three times, with each replication consisting of three sample plants, resulting in 81 experimental units. The shade percentages used were 25% (n1), 50% (n2), and 75% (n3), and the varieties tested were Xanne (v1), Suciyono (v2), and Pinka Pinky (v3). Observed variables included plant survival rate, plant height, stem diameter, internode length, number of internodes, number of flower primordia, leaf color changes, along with supporting data such as temperature, humidity, and light intensity. The results showed that 50% shade was effective in promoting plant height and the number of flower primordia in the three varieties: Xanne, Suciyono, and Pinka Pinky. The Suciyono variety exhibited good vegetative and generative growth under all shade percentages.

This study aims to explore the influence of formal language skills on the use of slang among first-semester students in the English Language and Literature Education Program at Muhammadiyah University Maumere. The method used in this study is a descriptive qualitative approach with subjects consisting of first-year students. Information was collected through observation, questionnaire distribution, and brief interviews about daily language use habits and academic contexts. The findings of this study indicate that the majority of students actively use slang when interacting informally, especially when communicating with peers and on social media platforms. The use of slang serves as a way to express identity, build social solidarity, and facilitate social adjustment. However, deficiencies in formal language skills make it difficult for some students to recognize the appropriate use of language in context, so that elements of slang often creep into academic situations, such as in class discussions and assignment writing. This study concludes that formal language skills have an impact on the use of slang. Students with high formal language skills tend to be better at switching between language varieties according to context, while those with low formal skills are at greater risk of mixing them up.

This study aims to explore the influence of formal language skills on the use of slang among first-semester students in the English Language and Literature Education Program at Muhammadiyah University Maumere. The method used in this study is a descriptive qualitative approach with subjects consisting of first-year students. Information was collected through observation, questionnaire distribution, and brief interviews about daily language use habits and academic contexts. The findings of this study indicate that the majority of students actively use slang when interacting informally, especially when communicating with peers and on social media platforms. The use of slang serves as a way to express identity, build social solidarity, and facilitate social adjustment. However, deficiencies in formal language skills make it difficult for some students to recognize the appropriate use of language in context, so that elements of slang often creep into academic situations, such as in class discussions and assignment writing. This study concludes that formal language skills have an impact on the use of slang. Students with high formal language skills tend to be better at switching between language varieties according to context, while those with low formal skills are at greater risk of mixing them up.

This sociolinguistic study examines patterns of regional language interference in formal Indonesian usage across bilingual areas of Indonesia. Through a mixed-methods approach, this research analyzes oral and written data from 240 participants across three strategic bilingual regions: Javanese-Indonesian, Sundanese-Indonesian, and Batak-Indonesian. Data were collected through structured interviews, ethnographic observations, and corpus analysis of formal documents. Quantitative analysis employed linguistic corpus software to identify frequency patterns and interference distribution, while qualitative analysis applied ethnography of communication approaches to understand social contexts and functions of interference in communicative interactions. Findings reveal systematic interference typologies that vary according to linguistic domains. Phonological interference demonstrates the highest resistance to formal register constraints (78% consistency), with Batak-Indonesian speakers showing the highest interference rates (85%), followed by Javanese-Indonesian (74%), and Sundanese-Indonesian (71%). Lexical interference occurs in 65% of samples with significant variation based on communication domains, where Sundanese-Indonesian shows the highest rates (72%). Morphological interference is found in 52% of cases, particularly in affixation and reduplication systems. Syntactic interference shows the highest sensitivity to situational formality, decreasing from 45% in semi-formal communication to 28% in strict formal contexts. Research implications indicate the need for reorienting language policy from corrective approaches toward recognizing interference productivity. Language policies should develop flexible standards that accommodate regional variations and promote positive attitudes toward multilingualism. In educational contexts, integration of contrastive approaches in Indonesian language learning is required, along with development of instructional materials sensitive to students' linguistic backgrounds, and teacher training on managing productive versus corrective interference.This research contributes to Indonesian sociolinguistics through providing comprehensive empirical databases, developing innovative theoretical frameworks, and replicable methodologies for language contact analysis. Findings confirm that regional language interference in formal Indonesian constitutes a productive phenomenon reflecting Indonesia's multilingual vitality. Approaches that recognize productive aspects of interference while optimizing formal communication effectiveness become key to developing language strategies responsive to contemporary multilingual Indonesian realities.

This study analyzes the forms of risk and risk management strategies in melon farming in Brebes as an impact of climate change. A descriptive qualitative approach was applied using a case study through in-depth interviews with a farmer who has more than ten years of experience, supported by secondary data from BPS, BAPPENAS, and related literature. The findings reveal four categories of major risks: market, financial, operational, and socio-environmental. High-level risks include climate variability, yield decline, and pest attacks. Medium-level risks involve production costs, water management, and price fluctuations, while low-level risks consist of limited weather information and agricultural extension services. Current strategies are still basic, including fertilization, pesticide application, and water channel arrangement. Strengthening adaptation is needed through irrigation technology, climate-resilient varieties, marketing diversification, and improved access to information and institutional support.

Crystal guava has a promising market potential due to its relatively high demand, especially in various supermarkets—both in small towns and major cities across Indonesia—and its selling price is relatively stable. Crystal guava has several advantages compared to other guava varieties, including a fresher and sweeter taste, a crunchy texture, thick flesh, and being almost seedless. It is relatively easy to cultivate, has a high harvesting frequency, and tends to bear fruit throughout the year regardless of the season. Therefore, farmers in Karanggondo Village, Tegalsari District, Banyuwangi Regency, have begun cultivating it as a monoculture crop since 2012. Considering this situation, it is deemed interesting to conduct research on the financial feasibility of a Crystal guava plantation investment project under a monoculture system per hectare in Banyuwangi Regency. The research results show that the investment project is financially “feasible.” However, if production volume and product price decrease by up to 48.96%, and variable operating costs increase by up to 79.02%, while other factors remain constant, the Crystal guava monoculture plantation investment project per hectare in Banyuwangi Regency becomes financially “unfeasible.” Among these factors, the decline in production volume and selling price are found to be relatively “more sensitive” in influencing the project’s financial feasibility.

Increasing rice production is a national strategic priority given its role in maintaining food security and economic stability in the community. This study aims to analyze strategies for increasing rice production in Indonesia through a literature review approach based on relevant scientific articles. The analysis was conducted to identify the main factors that affect rice productivity and to formulate comprehensive strategies covering aspects of cultivation technology, land and water management, institutions and extension, production risk mitigation, and socioeconomic factors. The results of the study show that modern cultivation technology, especially the use of new superior varieties, the legowo planting system, and balanced fertilization, are the main foundations for increasing productivity. However, the success of technology implementation is largely determined by stable access to water, coordination of farmer institutions, intensive extension support, and the availability of capital and supporting infrastructure. Production risks due to climate change and pest attacks also have a significant impact on yield stability, requiring integrated mitigation strategies such as simultaneous planting and strengthening of integrated pest management (IPM). Overall, this study confirms that rice production enhancement strategies must be integrative, adaptive, and sustainable by strengthening the synergy between technology, institutions, and supporting policies. These findings are expected to serve as a basis for formulating more effective agricultural policies to boost national rice production.

Coffe is one of Indonesia’s leading commodities, known for its diverse flavors and aromas. Traditionally, coffee quality assessment is conducted manually through cupping tests performed by expert panelists. However, this method is subjective and requires considerable time and cost. This study aims to implement an Artificial Neural Network (ANN) using the backpropagation algorithm to classify coffee types based on sensory parameters such as flavor, aroma, acidity level, and body. Simulated data were generated from five common Indonesian coffee varieties: Arabica Gayo, Robusta Lampung, Arabica Toraja, Liberica Jambi, and Excelsa. The results show that the ANN-based classification system with a 4-8-1 architecture achieved an accuracy rate of 93% after 500 training epochs, with a final error value of 0.07. The implementation of this method provides an efficient and objective technological alternative to assist the coffee industry in maintaining product quality and automatically identifying coffee types.    

The Damahu waxy corn (Zea mays L. var. Damahu) is a local variety traditionally cultivated by the Gorontalo community and possesses significant potential for the development of functional food products. This study aimed to determine the nutritional composition of the Damahu waxy corn variety originating from Bontula Village, Asparaga District, Gorontalo Regency, through proximate analysis. The corn samples were dried, milled, and analyzed using standard analytical procedures to quantify moisture, ash, fat, protein, and carbohydrate contents. The results indicated that Damahu waxy corn flour contained 83.32% carbohydrates, 5.93% protein, 1.67% fat, 8.84% moisture, and 0.24% ash. This composition characterizes the Damahu variety as a good energy source. However, its protein content does not yet meet the minimum requirement set by the Indonesian National Standard (SNI) for corn-based processed products. The nutritional profile highlights the potential of Damahu waxy corn for the development of nutritious and competitive local food products. This study provides an initial contribution to the documentation of Gorontalo’s indigenous corn varieties and offers a scientific foundation for the utilization of local germplasm to strengthen regional food security.

In line with this national rice productivity improvement strategy, the Situbondo Regency Government in East Java Province is actively participating in initiating the development of new superior rice varieties. In early 2023, Situbondo Regency released a new superior rice variety, the Bk Situbondo 01 Agritan Variety. This new rice variety was developed for the IP 400 program. In 2024, the cultivation of this superior rice variety, Bk Situbondo 01 Agritan, began in several villages, one of which was in Battal Village, Panji District, primarily by the Joyo Mulyo 3 Farmers Group. In this regard, it is deemed necessary to conduct research to determine the income and financial efficiency of the superior rice variety Bk Situbondo 01 Agritan. The results of the study indicate that financially the income is recorded as profitable and the farming is efficient. Financially, if it is calculated that there is a decrease in the amount of production and a decrease in production prices of up to 15%, as well as an increase in variable costs of up to 15%, assuming that other factors are considered constant, the new superior rice variety farming business Bk Situbondo 01 Agritan, recorded that the income is still profitable and the farming business is still efficient. It can also be seen that the factors: (a) decrease in the amount (quantity) of production, and (b) decrease in production prices, are relatively more sensitive in responding to the decrease in the level of income and efficiency of the farming business, when compared to the factor: (c) increase in variable costs of the farming business.

Seeds that have exceeded their shelf life generally experience a decline in physiological quality, particularly in terms of viability and vigor. This study aims to determine the viability and vigor levels of several rice (Oryza sativa L.) varieties of Foundation Seeds (Benih Pokok/BP) after surpassing their shelf life. The tested varieties included Inpari 16, Inpari 42, Inpari 45, Sunggal, Memberamo, and Ciherang, obtained from Wonoketro Village, Jetis Subdistrict, Ponorogo Regency. The study was conducted through standard laboratory testing for germination rate and vigor. Results showed a decrease in germination capacity across all varieties, with varying degrees of decline. Inpari 45 showed a germination rate of 39%, Memberamo 33.67%, Sunggal 26.33%, and Ciherang 15.67%, compared to the initial value of 92%. These differences indicate that each variety responds differently to aging and storage conditions. The findings serve as a basis for decision-making regarding the use of expired seeds and are important for seed management in the field.

The fisheries sector plays a vital role in the national economy and represents a significant potential source of foreign exchange. The development of this sector must be strategically designed to address future challenges, which include anticipating changes in both production and consumer systems (markets), as well as shifts in resource potential. This study aims to identify and analyze effective business development strategies for UMKM Bandeng Sultan to expand its market reach. The research methodology includes both primary and secondary data collection through interviews and field observations, analyzed qualitatively using a descriptive approach. Data were collected directly from interviews and on-site observations to gain relevant insights into the current conditions of the Bandeng Sultan business. The results indicate that the SWOT coordinate score (0.6: 0.57) places the business in a favorable position, supporting the adoption of an aggressive growth strategy. Recommended strategic actions include enhancing digital and e-commerce marketing, expanding into the Java market and exploring export opportunities, diversifying product offerings and innovating flavor varieties, as well as improving product quality and hygiene standards. These findings demonstrate that UMKM Bandeng Sultan possesses strong internal capabilities and promising external opportunities for growth. Therefore, the implementation of aggressive strategies was considered appropriate to increase competitiveness and ensure long-term business sustainability in a highly competitive market environment.

Successful pollination in oil palm depends heavily on the availability of Elaeidobius kamerunicus pollinator insects that require anthesis male flowers as habitat and food sources. This study aimed to analyze the relationship between anthesis male flower availability on E. kamerunicus beetle population and its impact on parthenocarpy bunch formation at PT. Graha Inti Jaya, Central Kalimantan. Observational method with descriptive and correlational approaches was conducted on 484.57 hectares of oil palm plants varieties Socfindo and Lonsum planted in 2007-2008 during February-July 2025 period. Data collection included anthesis male flower census, beetle population monitoring using yellow traps, and parthenocarpy bunch analysis from mill sorting. Data analysis used linear regression, Pearson correlation, and two-way ANOVA with 95% confidence level. Results showed significant relationship between anthesis male flower availability and E. kamerunicus beetle population (R² = 0.728, p < 0.05), where each unit increase of anthesis male flower increased beetle population by 2,667 individuals per hectare. However, relationship between beetle population and parthenocarpy bunches was not significant (R² = 0.114, p > 0.05), indicating complexity of pollination factors. Variety and planting year differences showed no significant effect. This study recommends maintaining anthesis male flower availability >5% per hectare for optimal natural pollinator beetle population.

This study aims to utilize data mining techniques, specifically the K-Nearest Neighbors (KNN) algorithm, to classify leaf diseases in sugarcane (Saccharum officinarum). Early and accurate detection of leaf disease types is a crucial step in prevention and control strategies, thereby reducing potential crop losses caused by pathogen attacks. Leaf diseases in sugarcane, such as leaf scald, rust, and mosaic virus, are known to affect photosynthesis, inhibit growth, and reduce the quality and quantity of sugarcane produced. The classification process in this study was carried out through image analysis of infected sugarcane leaves, where features such as color, texture, and shape were extracted using digital image processing techniques. The KNN algorithm was chosen because of its non-parametric nature, ease of implementation, and its ability to provide accurate classification results even with limited data size. The working principle of KNN is to determine the class of a new sample based on the majority class of its k nearest neighbors in the feature space, making it very suitable for the case of leaf disease image classification. In addition to building a classification model, this study also examines disease prevention strategies based on the identification results. These strategies include the use of disease-resistant sugarcane varieties, the implementation of appropriate planting patterns, land moisture management, regular plantation sanitation, and the measured and environmentally friendly use of pesticides or fungicides. Model performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics to assess model effectiveness across various data scenarios. The results of this study are expected to not only contribute to the development of decision support systems for farmers and related parties but also support the application of artificial intelligence-based technology in the agricultural sector.

The palm oil industry is a vital component of Indonesia's economy, significantly contributing to foreign exchange earnings and employment opportunities, particularly in rural and plantation-based regions where economic alternatives are limited. However, the sector is increasingly challenged by global sustainability concerns, particularly the European Union Deforestation Regulation (EUDR), which poses a threat to Indonesia’s palm oil exports due to its strict environmental standards and traceability requirements. This study adopts a descriptive qualitative approach using a literature review to explore the role of innovation and legal protection in strengthening the sustainability and global competitiveness of Indonesia’s palm oil industry. Specifically, it investigates how the development of superior plant varieties and the application of Plant Variety Protection (PVP) under the Intellectual Property Rights (IPR) framework contribute to long-term industry resilience. The findings indicate that superior varieties such as DxP Topaz, DxP PTPN V, and Lonsum DxP have been instrumental in boosting productivity, reducing the need for land expansion, enhancing oil yield per hectare, and improving overall resource efficiency. Moreover, legal protection through PVP not only secures exclusive rights for breeders but also incentivizes further agricultural innovation and prevents the unauthorized use and duplication of valuable genetic resources. In light of international regulatory pressures, strengthening the national PVP system, promoting the registration of local superior varieties, and integrating legal instruments with research and development are essential. These efforts can safeguard Indonesia’s genetic sovereignty and support sustainable practices in compliance with international environmental standards. Ultimately, aligning agricultural innovation with a robust legal framework is key to maintaining the industry’s market access, environmental credibility, and long-term sustainability.

This study aims to determine the implementation of plant variety protection in Australia. This article will discuss how Australia implements the TRIPs Agreement to provide protection for all technologies, products, pharmaceuticals, plants, and microorganisms that can be patented through Plant Breeder's Rights (PBR). There are three types of intellectual property obtained in the context of plant varieties, namely patent rights, trademark rights, and plant breeding rights. The purpose of protection through PBR is to encourage innovation in plant breeding by granting limited exclusive rights to control its exploitation and prevent unauthorized parties from illegally exploiting the rights of breeders. The research method used in this study is normative law research, employing a statutory approach and an analytical approach.

This study analyzes the linguistic varieties of the fishing community in Adipala, Cilacap, with a focus on distinctive vocabulary such as “bondo” (capital for sailing), “pancingan” (fishing gear), and “jaring lampara” (a type of fishing net). Employing a qualitative approach through observation, in-depth interviews, and document analysis, the research identifies lexical variations and register patterns used across different communicative contexts, including interactions among fishermen, fish trading transactions, and communication with the broader community. The findings reveal that fishermen’s registers serve not only as technical communication tools but also as markers of social and cultural identity and as a means of adaptation to technological and socio-economic changes. These results highlight the importance of preserving local fishermen’s vocabulary as part of cultural heritage and contribute to the development of sociolinguistic studies on professional groups in Indonesia. The study also recommends documentation and integration of local registers into education and community empowerment programs.

As an agricultural country, farmers in Indonesia have a crucial role, their existence must be safeguarded within the agricultural sector. Encouraging farmers to engage in breeding or develop new superior plant varieties is essential for fostering independent and advanced Indonesian farmers. These breeding activities are governed by Law Number 22 of 2019 on Sustainable Agricultural Cultivation System, and Law Number 29 of 2000 Plant Variety Protection. However, these laws have led to challenges for farmers involved in breeding, as the Plant Variety Protection Law adopts liberal approach that prioritizes individual economic benefits and specifically protects breeders who have registered their new varieties. As a result, farmers who use traditional knowledge in their breeding practices are vulnerable to criminalization due to the registration system. This paper will examine the rights of farmers in breeding activities under Indonesian law and compare with regulations in Malaysia, which shares geographical proximity, customs, and membership in the World Trade Organization. The research method is normative legal research, utilizing both conceptual and comparative approach. The objective to explore the legal protection of farmers’ rights in breeding activities in both Indonesia and Malaysia, and provide recommendations for improving the protection of farmers' rights in the future.