bluuebunny/crossref_metadata_2025 huggingface dataset:
Collective anti-predator escape manoeuvres through optimal attack and avoidance strategies
Authors: Bartashevich Palina , Herbert-Read James E. , Hansen Matthew J. , Dhellemmes Félicie , Domenici Paolo , Krause Jens , Romanczuk Pawel
Published: November 2024

The collective dynamics of self-organised systems emerge from the decision rules agents use to respond to each other and to external forces. This is evident in groups of animals under attack from predators, where understanding collective escape patterns requires evaluating the risks and rewards associated with particular social rules, prey escape behaviour, and predator attack strategies. Here, we find that the emergence of the ‘fountain effect’, a common collective pattern observed when animal groups evade predators, is the outcome of rules designed to maximise individual survival chances given predator hunting decisions. Using drone-based empirical observations of schooling sardine prey (Sardinops sagax caerulea) attacked by striped marlin (Kajikia audax), we first find the majority of attacks produce fountain effects, with the dynamics of these escapes dependent on the predator’s attack direction. Then, using a spatially-explicit agent-based model of predator-prey dynamics, we show that fountain manoeuvres can emerge from combining an optimal individual prey escape angle with social interactions. The escape rule appears to prioritise maximising the distance to the predator and creates conflict in the effectiveness of predators’ attacks and the prey’s avoidance, explaining the empirically observed predators’ attack strategies and the fountain evasions produced by prey. Overall, we identify the proximate and ultimate explanations for fountain effects and more generally highlight that the collective patterns of self-organised predatory-prey systems can be understood by considering both social escape rules and attack strategies.
Genome assembly of wisent (Bison bonasus) uncovers a deletion that likely inactivates the THRSP gene
Authors: Bortoluzzi Chiara , Mapel Xena Marie , Neuenschwander Stefan , Janett Fredi , Pausch Hubert , Leonard Alexander S.
Published: November 2024

The wisent (Bison bonasus) is Europe’s largest land mammal. We produced a HiFi read-based wisent assembly with a contig N50 value of 91 Mb containing 99.7% of the highly conserved single copy mammalian genes which improves contiguity a thousand-fold over an existing assembly. Extended runs of homozygosity in the wisent genome compromised the separation of the HiFi reads into parental-specific read sets, which resulted in inferior haplotype assemblies. A bovine super-pangenome built with assemblies from wisent, bison, gaur, yak, taurine and indicine cattle identified a 1580 bp deletion removing the protein-coding sequence of THRSP encoding thyroid hormone-responsive protein from the wisent and bison genomes. Analysis of 725 sequenced samples across the Bovinae subfamily showed that the deletion is fixed in both Bison species but absent in Bos and Bubalus. The THRSP transcript is abundant in adipose, fat, liver, muscle, and mammary gland tissue of Bos and Bubalus, but absent in bison. This indicates that the deletion likely inactivates THRSP in bison. We show that super-pangenomes can reveal potentially trait-associated variation across phylogenies, but also demonstrate that haplotype assemblies from species that went through population bottlenecks warrant scrutiny, as they may have accumulated long runs of homozygosity that complicate phasing.
Polar ice sheets are decisive contributors to uncertainty in climate tipping projections
Authors: Rosser Jonathan P. , Winkelmann Ricarda , Wunderling Nico
Published: November 2024

The Earth’s climate is a complex system including key components such as the Arctic Summer Sea Ice and the El Niño Southern Oscillation alongside climate tipping elements including polar ice sheets, the Atlantic Meridional Overturning Circulation, and the Amazon rainforest. Crossing thresholds of these elements can lead to a qualitatively different climate state, endangering human societies. The cryosphere elements are vulnerable at current levels of global warming (1.3  °C) while also having long response times and large uncertainties. We assess the impact of interacting Earth system components on tipping risks using an established conceptual network model of these components. Polar ice sheets (Greenland and West Antarctic ice sheets) are most decisive for tipping likelihoods and cascading effects within our model. At a global warming level of 1.5  °C, neglecting the polar ice sheets can alter the expected number of tipped elements by more than a factor of 2. This is concerning as overshooting 1.5  °C of global warming is becoming inevitable, while current state-of-the-art IPCC-type models do not (yet) include dynamic ice sheets. Our results suggest that polar ice sheets are critical to improving understanding of tipping risks and cascading effects. Therefore, improved observations and integrated model development are crucial.
Synthesis and catalytic testing of the first hydrophilic derivative of Shvo's catalyst
Authors: Diekamp Justus , Schmidt Annika , Holstein Julian J. , Strohmann Carsten , Seidensticker Thomas
Published: November 2024

A straightforward synthesis route has led to the first sulfonated derivative of Shvo's catalyst, enabling base-free (transfer) hydrogenation in water.
Analyte-initiated disassembly of electrochromic metal–organic framework-based nanocomposites for smart colorimetric sensing
Authors: Zhou Min , Huang Shan , Huang Pengcheng , Wu Fang-Ying
Published: November 2024

Analyte-induced disassembly of an electrochromic (EC) metal–organic framework-based nanocomposite was utilized to construct colorimetric sensing platforms via switchable EC activity.
Correction: Impacts of trace level chromium on formation of superoxide within uranyl triperoxide complexes
Authors: Scherrer Sarah K. , Rajapaksha Harindu , Kravchuk Dmytro V. , Mason Sara E. , Forbes Tori Z.
Published: November 2024

Correction for ‘Impacts of trace level chromium on formation of superoxide within uranyl triperoxide complexes’ by Sarah K. Scherrer et al., Chem. Commun., 2024, 60, 10584–10587, https://doi.org/10.1039/D4CC03194F.
High-nitrogen-content energetic BNn+ (n = 4–16) clusters
Authors: Li Jiale , Chen Meicheng , Liu Kaiwen , Ding Kewei , Xu Hongguang , Zheng Weijun , Lu Cheng
Published: November 2024

We explore the nitrogen-rich BNn+ (n = 4–16) clusters by doping with boron. BN6+ and BN12+ have high stability and the enthalpy of BN12+ is high to be −1385.10 kJ mol−1, suggesting its potential as a high-energy buliding block for HEDM construction.
A hydrophilic o-phenanthroline-based covalent organic polymer with a reversible tautomeric structure for boosting photocatalytic hydrogen peroxide production
Authors: Li Yujie , Liu Wenhao , Duan Fang , Yan Shengrong , Ren Yanyan , Liu Haiping , Lu Shuanglong , Du Mingliang , Chen Xin , Wang Jun
Published: November 2024

A hydrophilic o-phenanthroline-based COP with a reversible imino–ketoenamine tautomeric structure exhibits enhanced photocatalytic H2O2 production performance in pure water.
Electrodeposition of ultrathin NiBDC lamellar arrays as a novel binder-free electrode for flexible all-solid-state supercapacitors
Authors: Feng Yue , Wu Mingji , Zhu Haiyan , Bao Huirong , Wang Cheng , Lin Xiujing , Liu Ruiqing , Feng Xiaomiao
Published: November 2024

Ultrathin NiBDC lamellar arrays were electrodeposited onto ITO/PET as a high-performance flexible all-solid-state supercapacitor electrode. The porous structure facilitates volume accommodation and boosts electrochemistry performance.
Nebulized inhalation drug delivery: clinical applications and advancements in research
Authors: Yan Ruyi , Zou Chang , Yang Xiaohang , Zhuang Weihua , Huang Yushi , Zheng Xiuli , Hu Jie , Liao Lingni , Yao Yongchao , Sun Xuping , Hu Wenchuang (Walter)
Published: November 2024

Nebulized inhalation is a non-invasive drug delivery method with fast onset, low dosage, and fewer side effects. This review covers its principles, devices, clinical applications, and future trends in respiratory and systemic diseases.
Efficient narrow-band green phosphors for mini-LED displays using dual strategies of high concentration quenching and energy transfer
Authors: Kang Runtian , Seto Takatoshi , Wang Yuhua
Published: November 2024

Narrow-band green phosphor have been realized by high doping concentration and energy transfer in GMAO. The luminous color has achieved a wide range of adjustability. GMAO:Eu2+,Mn2+ is valuable for applications in Mini-LED displays.
The radiative torque spin-up efficiency of ballistic dust-grain aggregates
Authors: Jäger Jonathan A. , Reissl Stefan , Klessen Ralf S.
Published: November 2024

Aims. It is quintessential for the analysis of the observed dust polarization signal to understand the rotational dynamics of interstellar dust grains. Additionally, high rotation velocities may rotationally disrupt the grains, which impacts the grain-size distribution. We aim to constrain the set of parameters for an accurate description of the rotational spin-up process of ballistic dust grain aggregates driven by radiative torques (RATs).

Methods. We modeled the dust grains as complex fractal aggregates grown by the ballistic aggregation of uniform spherical particles (monomers) of different sizes. A broad variation of dust materials, shapes, and sizes were studied in the presence of different radiation sources.

Results. We find that the canonical parameterization for the torque efficiency overestimates the maximum angular velocity ωRAT caused by RATs acting on ballistic grain aggregates. To resolve this problem, we propose a new parameterization that predicts ωRAT more accurately. We find that RATs are most efficient for larger grains with a lower monomer density. This manifests itself as a size- and monomer-density dependence in the constant part of the parameterization. Following the constant part, the parameterization has two power laws with different slopes that retain universality for all grain sizes. The maximum grain rotation does not scale linearly with radiation strength because different drag mechanisms dominate, depending on the grain material and environment. The angular velocity ωRAT of individual single dust grains has a wide distribution and may even differ from the mean by up to two orders of magnitude. Even though ballistic aggregates have a lower RAT efficiency, strong sources of radiation (stronger than ≈100 times the typical interstellar radiation field) may still produce rotation velocities high enough to cause the rotational disruption of dust grains.
The COBREX archival survey: Improved constraints on the occurrence rate of wide-orbit substellar companions
Authors: Squicciarini V. , Mazoyer J. , Lagrange A.-M. , Chomez A. , Delorme P. , Flasseur O. , Kiefer F. , Bergeon S. , Albert D. , Meunier N.
Published: November 2024

Context. Direct imaging (DI) campaigns are uniquely suited to probing the outer regions around young stars in pursuit of giant exoplanet and brown dwarf companions, providing key complementary information to radial velocity (RV) and transit searches for demographic studies. However, the critical 5–20 au region, where most giant planets are thought to form, remains poorly explored, as it lies between current RV and DI capabilities.

Aims. Significant gains in detection performances can be attained at no instrumental cost by means of advanced post-processing techniques. In the context of the COBREX project, we have assembled the largest collection of archival DI observations to date with the aim of undertaking a large and uniform reanalysis. In particular, this paper details the reanalysis of 400 stars from the Gemini Planet Imager Exoplanet Survey (GPIES) operated at GPI@Gemini South.

Methods. Following the prereduction of raw frames, the GPI data cubes were processed by means of the PACO algorithm. Candidates were identified and vetted based on multi-epoch proper motion analysis (whenever possible) and by means of a suitable color-magnitude diagram. The conversion of detection limits into detectability maps allowed us to estimate the unbiased occurrence frequencies of giant planets and brown dwarfs.

Results. We derived deeper detection limits than those reported in the literature, with up to a two-fold gain in minimum detectable mass, compared to previous GPI-based publications. Although no new substellar companion was confirmed, we identified two interesting planet candidates awaiting follow-up observations. We derived an occurrence rate of 1.7−0.7+0.9% for 5 MJup < m < 13 MJup planets in 10 au < a < 100 au. This rises to 2.2−0.8+1.0% when including substellar objects up to 80 MJup. Our results are in line with the literature, but with lower uncertainties, thanks to the enhanced detection sensitivity. We confirm, as hinted at by previous studies, a more frequent occurrence of giant planets around BA hosts compared to FGK stars. Moreover, we tentatively observe a smaller occurrence of brown dwarf companions around BA stars, although larger samples are needed to shed light on this point.

Conclusions. While awaiting the wealth of data anticipated from future instrument and facilities, valuable information can still be extracted from existing data. In this regard, a complete reanalysis of SPHERE and GPI data is expected to provide the most precise demographic constraints ever provided by direct imaging.
Examining Indonesian protein consumption patterns and factors: A probit model
Authors: Khoiriyah Nikmatul , Apriliawan Hadi , Maula Lia Rohmatul , Sa’diyah Ana Arifatus , Forgenie David , Susyanti Jeni , Nendissa Doppy Roy
Published: November 2024

Understanding the factors influencing Indonesian households’ protein consumption needs has received little study attention. This study examines the factors that influence Indonesian households’ need for protein consumption, emphasizing ten key protein categories: fish, seafood, eggs, dairy, tofu, tempeh, beef, mutton, and other meats with the help of a probit model using data from SUSENAS 2022, which includes about 327,795 households. This study attempts to determine the variables affecting Indonesian household protein consumption patterns, particularly seafood. The results emphasize the importance of sociodemographic factors as significant determinants of seafood consumption, including household size and income. The consumption of seafood in households is positively impacted by higher household income, suggesting a market for high-end goods targeted at wealthy consumers. Policymakers must thoroughly understand the factors influencing household seafood intake as a source of protein demand in Indonesia to effectively establish policies encouraging sustainable and healthful foods. In addition, targeted programs and initiatives aiming at enhancing food security, nutrition, and public health outcomes at a regional level can be informed by the findings about the impact of socio-demographic characteristics and regional variances.
Exploring income-based disparities in plant based protein consumption: Evidence from indonesia using probit analysis
Authors: Nandiroh Umi , Khoiriyah Nikmatul , Forgenie David , Sa’diyah Ana Arifatus
Published: November 2024

In light of the global shift towards sustainable dietary patterns, this study investigates the influence of income on the consumption of plantbased proteins, namely tofu and tempeh, in Indonesia. This research uses probit regression analysis to examine the probability of consumption relative to income levels and household sizes among diverse demographic segments. Data from a nationally representative survey indicate that income significantly affects dietary choices, with higher-income households exhibiting varied likelihoods of consuming tofu and tempeh. The study finds that household size inversely affects tofu consumption, particularly among the affluent, while tempeh’s consumption is less sensitive to income and household size variations. These results underscore the complex interplay between economic status and food choices, with implications for policy measures to promote nutritional equity. Recommendations include price stabilization for tofu to ensure affordability across income strata and targeted educational campaigns to enhance awareness of tempeh’s nutritional benefits. The study contributes to the discourse on addressing dietary disparities and enhancing public health nutrition in a developing country.
Young farmer motivations for farmer regeneration in East Lombok Regency, Indonesia
Authors: Mazwan M. Zul , Shodiq Wahid Muhammad , Minarsih Imas , Haqiqi Hifzil , Ramadhani Festy Putri
Published: November 2024

Agriculture in Indonesia, in general, has experienced quite serious problems related to the condition of agriculture in Indonesia, which until now still uses manual performance and the reduced percentage of the younger generation who work in the agricultural sector. However, in Sembalun Lawang Village, Sembalun District, East Lombok Regency, most of the youth work in the agricultural sector. The purpose of this study was to determine the performance of young farmers working in the agricultural sector and the factors that influence the performance of young farmers working in the agricultural sector. This research was conducted in Sembalun Lawang Village, Sembalun District, East Lombok Regency, Indonesia. The number of subjects of this study was 85 young farmers. The analysis method used is Partial Least Square (PLS) analysis. Data collection techniques were carried out using interviews, documentation, questionnaires, observation, and literature studies. The results of this study indicate that the performance of youth working in the agricultural sector in Sembalun Lawang Village is classified as very good. The results of PLS analysis show that young farmers’ economic, social, environmental and demographic factors have a significant positive effect on performance in working in the agricultural sector.
Sustainability analysis of Upper Brantas Subwatershed
Authors: Waskitho Nugroho Tri , Omenu Marciana Fridolin , Arif Cahyo Wibowo Febri
Published: November 2024

Watersheds play an essential role in the sustainability of water resources, facing challenges such as pollution and unintegrated management. The Brantas River, especially the Upper Brantas subwatershed, is one of the primary water sources in East Java that is threatened by pollution due to household waste disposal. This study aims to analyze the sustainability of the Upper Brantas sub-watershed. Secondary data were collected from various sources between 2018-2022, including water quality, the Human Development Index, and analysis of natural vegetation cover. Primary data on policy implementation were collected using questionnaires. Data analysis used the watershed sustainability index. The results showed that the Upper Brantas sub-watershed had a sustainability index value of 0.54, which is classified as moderate.
Evaluation of the effect of feeding Brachiaria humidicola supplemented with Azolla sp. on the growth performance of Saanen doeling (Capra aegagrus hircus)
Authors: Kamaruddin Nurul Aini , Hanipah Farah Aqilah Abu , Zuhari Nor Fazlyna
Published: November 2024

This study evaluates the effect of integrating Brachiaria humidicola and Azolla sp., a protein-rich water fern, on the growth performance of Saanen doelings. The study was conducted at Pasir Akar Farm, Universiti Sultan Zainal Abidin, Terengganu, Malaysia; the research involved nine 6-month-old Saanen doelings. They were divided into three feeding groups: Control (C) with 100% B. humidicola, Treatment 1 (T1) with 90% B. humidicola and 10% Azolla, and Treatment 2 (T2) with 80% B. humidicola and 20% Azolla. Each group had three replicates. Growth performance was assessed through body measurements (length, wither height, chest circumference), Body Condition Score (BCS), average daily gain, and feed conversion ratio (FCR), using regular weight measurements and feed intake records. Data analysis via one-way ANOVA revealed that Treatment 2 achieved the highest growth performance, with a BCS of 3.87, surpassing T1 at 3.70 and C at 3.67. T2 also recorded the lowest average feed intake at 19.14 kg, compared to T1 at 21.40 kg and C at 23.50 kg, indicating the most efficient FCR. Significant differences (p < 0.05) in live weight were noted between T1 and T2 during weeks 3 to 5. Thus, an 80:20 ratio of B. humidicola to Azolla sp. enhances Saanen doelings’ growth performance.
Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology
Authors: Lazo Christian Joel , Jerusalem Emmanuel , Conejos Gabriel Angelo , Malabanan John Ace , Gallego Marianito
Published: November 2024

Marketability of fresh produce is highly dependent on consumer preferences. When consumers’ standards are not met, this will lead to food wastage in the long run. Manual sorting should be replaced with IoT technology that can classify fresh products based on different parameters. However, it is a difficult task and can sometimes be inaccurate. In this study, the authors aim to (1) understand the key quality parameters of bell pepper, (2) establish quality control measures from planting to consuming, and (3) understand and determine the technology features and parameters in terms of hardware preference and characteristics. The study gathered three groups of respondents namely the farmers, retailers, and household consumers. The paper concludes consumer preferences within the bell pepper industry and underscores the necessity of quality control measures to uphold standards and minimize losses such as temperature-controlled storage and sorting processes through computer vision.
Smart IoT-enabled Solar Power Supervision and Regulation System
Authors: Shib Sowrov Komar , Rahman Md. Tanvir , Dipto Durjoy Roy , Shufian Abu , Zishan Md. Saniat Rahman , Basak Rinku , Mannan Md. Abdul
Published: November 2024

In today's world, transitioning to sustainable energy sources is essential due to the reduction of limiting resources and rising energy consumption. Solar energy stands out as a key renewable source, providing an eco-friendly alternative to fossil fuels by converting sunlight into electricity through photovoltaic (PV) technology. This study presents the development and assessment of a Solar Power Supervision and Regulation System designed to optimize solar energy utilization. The system incorporates a PV array connected to an Arduino Uno microcontroller, an ESP8266 Wi-Fi module for data transmission, and a Liquid Crystal Display (LCD) for real-time feedback. Collected data is transmitted to the ThingSpeak platform for storage, visualization, and analysis, enabling intelligent decision-making. This approach enhances energy efficiency and enables remote monitoring and control, lowering dependence on conventional sources of energy and lowering emissions of greenhouse gases. According to this study, this system operates with an efficiency of nearly 90% and provides users with approximately 20% energy savings. The simulation for this study was conducted using the Proteus Interface.
Livelihood Strategy of Migrant Agricultural Household in Cilacap Central Java
Authors: Azahra Rheznandya Sheila , Rubiyanto Cahyo Wisnu , Widadie Fanny
Published: November 2024

Migration has long served as a critical livelihood strategy, enabling people to seek better wages when opportunities in their current location become scarce. Remittances—money sent back home by migrants—significantly boost household income and play a vital role in the economies of their home regions. This research investigates the remittances sent by migrant workers, how they are used within household dynamics, and whether they help elevate families into higher income categories. Data for this study was gathered from August 21 to August 31, 2023, using primary sources. The research employed purposive sampling, resulting in a sample of 168 families. A wealth ranking exercise was used to analyze poverty and understand rural livelihoods in developing countries, classifying households into low, middle, and high-income groups. For middle and high-income families, remittances are the largest source of income, averaging USD 2,790.25 for middle-income and USD 7,994.80 for high-income households. These remittances enable families to meet a broader range of needs, improve their quality of life, ensure future financial stability, and enhance their capabilities and investments, strengthening their potential to improve their socio-economic status.
Application Technology and Digital Marketing for The Improvement of Production Capacity in
Tempeh Small Industry
Authors: Wisnujati Andika , Wardana Linda Kusumastuti , Yudhanto Ferriawan , Anugrah Rinasa Agistya , Fakhira Shafa , Ogah Ogah Anselm
Published: November 2024

This study explores the diversification of tempeh products through the integration of technology and digital marketing to enhance production capacity and market reach. Traditional tempeh production, often limited by manual processes and local sales, faces challenges in scaling up and competing in broader markets. By introducing advanced technological methods in production, including automated equipment and improved fermentation techniques, the quality and quantity of tempeh can be significantly increased. Additionally, leveraging digital marketing strategies, such as social media advertising, e-commerce platforms, and online branding, enables producers to tap into wider consumer bases, both locally and globally. This dual approach not only boosts production efficiency and output but also enhances market visibility and consumer engagement. The study aims to demonstrate how modernizing production practices and adopting digital tools can lead to sustainable growth, increased revenues, and greater competitive advantage for tempeh producers. Through case studies and data analysis, the research highlights successful implementations and provides practical recommendations for small to medium-sized enterprises (SMEs) looking to innovate and expand their market presence in the food industry.
Prediction of Unconfined Compressive Strength in Stabilized Clay Soil Using Artificial Neural Networks
Authors: Indriani Lia , Riyadi Slamet , Zaki Ahmad
Published: November 2024

Expansive clay is a problematic type of soil because it has large shrinkage properties. One action that can be taken to improve problematic soil is to stabilize it with additives such as lime, cement, RHA, fly ash, and GGBS. The results of stabilization using additives like this can increase the strength value of clay soil. Artificial Neural Networks (ANN) have been introduced in the geotechnical field to predict different soil properties. This research develops an artificial neural networks model to predict the Unconfined Compressive Strength (UCS) value of soil that has been stabilized, this is because the artificial neural networks model can show superior prediction results due to its flexibility and adaptability in generating data. The amount of data in this test was 420 and was divided into 336 training data and 84 testing data. In carrying out the training phase, 13 inputs were used in the form of granulometric test results, and in the testing phase, data from soil-free compression tests in the laboratory were used. The result of this research is that the use of the artificial neural networks model can predict the soil unconfined compressive strength value accurately because it gets a coefficient of determination value of 0.99229 which is almost close to number one.
Village autonomy in the development of Pagarbatu tourism village
Authors: Boemiya Helmy , Wahyuliana Ida , Firdiyansyah Erik , Yasa Muhammad
Published: November 2024

Tourism villages are tourism products that are developed based on the potential of the village. The concept of the tourist village is in line with the concept of village autonomy whose implementation is based on customs, village potential, and the origin of the village community. Pagarbatu Village is one of the tourist villages that has potential such as Tawaf Lengleng Hill as a source of sulfur, Ulagul/Tong-tong art, Saroneng, Muangsangkal dance, seaweed cultivation, and community awareness in tourism development. This is the reason for the research in Pagarbatu Village, Saronggi District, Sumenep Regency. This study aims to analyze the importance of village autonomy in the development of Pagarbatu tourism village and to find out the development of Tawaf Lengleng Hill tourism as an attraction owned by Pagarbatu village, Saronggi District, Sumenep Regency. The research method used is empirical research with a qualitative approach. The results of the study show that Pagarbatu Tourism Village shows several weaknesses in meeting the parameters of village autonomy success, especially in economic independence, resource management, community participation, service quality, government capacity, and sustainability. On the Tawaf Lengleng Hill there is inadequate infrastructure and limited marketing strategies have hindered the potential for further development, so it is necessary to improve the road to the site, improve supporting facilities such as parking and toilets, as well as add safety systems for visitors, work with travel agents and tour operators to expand market reach, encourage more community involvement in management, promotion, and development of tourism products, developing sustainability plans for sulfur resource management and environmental conservation involving local communities.
Family resilience in adapting to the conditions post the natural disaster of mount Semeru eruption in Supiturang and Sumberwuluh Village, Lumajang
Authors: Herawati Netty , Rohmah Nailur , Hutagalung Fonny D. , Bulut Sefa , Majid Amira Naila , Maharani Dinofa , Dewi Rahmi Kusuma , Rahayu Assajadah Azzahra
Published: November 2024

Family resilience is essential for an individual's adaptation to diverse conditions. The eruption of Mount Semeru has occurred since 2021 until now in Supiturang and Sumberwuluh Villages, Lumajang. The purpose of this study was to determine how family resilience in adapting to the post-eruption conditions of Mount Semeru in Supiturang and Sumberwuluh Villages, Lumajang. The research method uses a qualitative approach, with purposive sampling techniques, the criteria for informants for this research are (1) residents of Supitrang or Sumberwuluh village, (2) directly affected by the eruption, (3) loss of family members and property (4) not traumatized. There were eight respondents. Data were collected using semi-structured interviews. The collected data were analyzed using interpretive phenomenology. The results showed that the tremendous impact of the eruption left a deep impression on life experience. This leads to stress and crisis due to the various difficulties they face. Family resilience carried out: 1. Beliefs, which contain values direct how the family responds to difficulties that occur. 2. Manage the resources they have, both family members who can be involved, land that can still be cultivated and social support that supports each other. 3. Establish Communication with all family members in dealing with crisis situations.
Factors Influencing Sustainability of Batik SMEs Entrepreneurs
Authors: Utami Issa Dyah , Rizal Ali , Novianti Trisita , Winarso Kukuh
Published: November 2024

Amid the COVID-19 pandemic, sustainable entrepreneurship (SE) has become crucial for the survival of small and medium enterprises (SMEs). The pandemic has significantly impacted SMEs by decreasing product demand and productivity. This study aims to identify factors influencing sustainable entrepreneurship among Batik SME entrepreneurs by examining four latent variables: social, cultural, environmental, and economic. The SE model includes three manifest variables: business size, managerial skills, and the industrial sector, along with the business model. The model was validated using data from Batik SME entrepreneurs on Madura Island, Indonesia. The proposed SE model was tested using the Partial Least Square (PLS) method. The findings indicate that environmental and economic variables significantly influence SE, whereas social and cultural variables do not have a substantial impact. The practical implications of this research include providing Batik SME managers with insights into the key variables that can help sustain their businesses. The government can utilize the SE model to develop strategies for SME recovery. Additionally, the SE model serves as a reference for academics studying SE, particularly for SMEs in the Batik industry and similar sectors.
Spatial multi-parameter assessment of rivers water quality in Yogyakarta
Authors: Nursetiawan  , Wijaya Diva Darma
Published: November 2024

El Niño-Southern Oscillation (ENSO) affects climate patterns, leading to increased temperatures, high evaporation rates, and reduced precipitation in affected regions. This affects the amount of surface flow that keeps many rivers from moving until they dry up. This is also happened in Winongo, Code and Gajahwong rivers located in Yogyakarta Province. Stagnant water can affect water quality due to immobile water pollution. This study monitors river water quality by assessing Dissolved Oxygen (DO), Potential Hydrogen (pH), and Ferrum (Fe) levels. Water samples were collected from the upstream, midstream, and downstream sections of the Winongo, Code, and Gajahwong rivers to assess water quality. This approach helps identify pollution sources, understand spatial variability, and develop effective water management strategies.. Results indicate that the Winongo River had the highest Dissolved Oxygen (DO) level of 2.4 mg/L in the downstream section. The Code River had the highest pH of 8.1 in the upstream area, while the Gajahwong River showed a stable Iron (Fe) concentration of 2.5 mg/L. According to government regulations, the water quality in all three rivers is suitable only for irrigation purposes.
E-agriculture of hydroponic farming with nutrient film technique (NFT) using internet of thing
Authors: Suheri Agus , Widaningsih Sri , Awalia Uniq Fadilah
Published: November 2024

Agriculture is one of the activities to produce food. Nowadays, farming is not only done on the ground on open land but can be done with the hydroponic method. Hydroponic technique is a technique of planting with water media that is given nutrients. One of the hydroponic techniques is Nutrient Film Technique. A key challenge in hydroponic farming is the continuous monitoring of environmental factors that affect plant growth. This will make it difficult for farmers because it is very dependent on human labor, especially large-scale hydroponic gardens. Therefore, hydroponic plant management requires a monitoring system that can help hydroponic farmers in their cultivation. This research develops an automated monitoring system using Internet of Things (IoT) technology to track temperature, light intensity, humidity, and water usage. This system aims to reduce manual labor and optimize plant growth conditions. If there are conditions that are not ideal, the system can give feedback to drive actuators such as fans, lights and water pumps. The devices used are sensors, arduino microcontroller, wifi modules and internet networks. The research employs a prototype model, utilizing UML for system design. The backend is developed using PHP with the Laravel framework, while MySQL is used for database management. The system is anticipated to enhance efficiency in hydroponic farming by automating environmental monitoring and control, thereby reducing reliance on manual labor and improving plant growth conditions. Additionally, the system features CCTV camera monitoring for real-time observation, as well as tools for generating harvest reports, tool usage reports, and nutritional data.
Study of diet composition in sea cucumber intestines in Socah Waters, Bangkalan Regency
Authors: Fauziah Elys , Hidayati Dwi Ratna , Widodo Slamet , Omar Madiah Binti , Arifiyanti Nurul , Kurniyanto Ifan Rizky , Sulaiman Nur Iellyana Fasha Binti , Khairulanuar Aisya Afiqah Ajmal Binti Mohd
Published: November 2024

This paper aims to examine the understanding of the salt farmers regarding the Internet of Things (IoT) tool innovation and analyse their perceptions using five key innovation characteristics (Relative Advantage, Compatibility, Complexity, Trialability, and Observability). Internet of Things (IoT) has been considered as a key technology to assist in salt production improvements in Indonesia due to the continuing decline in production caused by climate change, especially in Madura Island. There was more than 75% decrease since 2019. In response, the Faculty of Agriculture at Trunojoyo University of Madura, Indonesia, in collaboration with Universiti Teknologi PETRONAS, Malaysia, conducted a socialization initiative for the salt farmer community in Pamekasan Madura on the importance of digitizing Internet of Things (IoT) technology. The socialization focused on an innovative product, the real-time monitoring tool 'Madura Smart Salt House (Mass),' specifically developed by UTP’s students. This tool aids in monitoring humidity, salinity levels, and weather on salt farms. A total of 20 salt farmers participated in the socialization. Pre- and post-survey were conducted to address participant understanding in before and after socialization around tool's functions and operations, followed by a survey on five key innovation characteristics. The data was analysed using descriptive quantitative (Frequency distribution). The evaluation results indicated that the salt farmers gained an increased understanding of the importance of IoT in salt farming. However, elements such as complexity, trialability, and observability have caused some hesitation among the farmers in adopting the innovation. Despite this, the farmers are confident that the innovation can offer relative advantages and possess characteristics that can be adapted to the existing culture of their salt farming practices.
Tourism entrepreneurial ecosystem policy model as an effort to improve the welfare of micro, small and medium enterprises
Authors: Winarwati Indien , Moh Karim , Syamsi Achmad Badarus
Published: November 2024

Ecosystems and good management are needed to make a superior tourist destination, so that later it will lead to the welfare of the community and micro, small and medium enterprises around it. Therefore, an Entrepreneurial Ecosystem policy is needed to develop a superior tourist destination and can improve the economy of the community and small and medium enterprises. The purpose of this study is to identify the Entrepreneurial Ecosystem tourism policy model in increasing the potential and welfare of micro, small and medium enterprises in Pamekasan. This research is descriptive qualitative in nature. The research location was determined purposively, namely in Pamekasan Regency. Primary data sources were obtained directly from the research subjects, in this case the parties related to the village-owned enterprises of tourism objects, namely: Tourism managers, related agencies, the Office of Micro, Small and Medium Enterprises Cooperatives and stakeholders. The results of this study indicate that the appropriate policy model is the Political System model which places the policy as the output of the system. This policy model is oriented towards community interest inputs, in this case tourism stakeholders both private and government that support the Entrepreneurial Ecosystem. This research also shows that the entrepreneurial ecosystem is still not well developed in Pamekasan because stakeholders from both the private sector and the government have not synergised to grow and motivate the entrepreneurial ecosystem. Thus, the tourism entrepreneurial ecosystem policy model still needs to be revised and improved in Pamekasan.
Examining the use of communal intellectual property as trademarks: A study on legal ambiguities
Authors: Djulaeka Djulaeka , Zulkifli Makmud , Hasanah Uswatun , Murni
Published: November 2024

The threat of trademark removal has similarities with communal intellectual property, mainly Traditional Cultural Expressions, as stated in the provisions of Article 72 of Law Number 20 of 2016 concerning Trademarks and Geographical Indications. This differs from the prerequisites for trademark registration as stipulated in Article 20 juncto Article 21, which does not explicitly mention the prohibition of traditional cultural expressions; this is different when registering a trademark based on geographical indications as communal intellectual property is prohibited. This provision will create legal uncertainty between the provisions of the trademark registration requirements and the deletion of the mark. This study examines the relationship between the provisions of Article 72 and Article 20 juncto Article 21 of Law Number 20 of 2016 concerning Trademarks and Geographical Indications as well as legal protection of registered trademarks that have similarities with Traditional Cultural Expressions. This research is normative, so the approach used is a legislative and conceptual approach, with the study of primary and secondary legal materials. The study results show that there needs to be more clarity between Article 72 and Article 20 juncto Article 21 of Law Number 20 of 2016 concerning Trademarks and Geographical Indications. The recommendations of the research results require amendments or revisions to Law Number 20 of 2016 concerning Trademarks and Geographical Indications that can provide legal certainty.
Effect of lean maintenance to reduce cost of sugar firms
Authors: Halilintar Pedalian , Singgih Moses Laksono
Published: November 2024

Maintenance plans are crucial for enhancing the operational efficiency of technological advancements and global competitiveness. This study focuses on improving efficiency and productivity in the refined sugar industry, specifically at Pabrik Gula Rafinasi (PGR). Refined sugar plants often struggle with maintaining equipment properly, which impacts the raw material processing sector. The proposed approach uses Lean Maintenance techniques to enhance maintenance efficiency and effectiveness by eliminating waste, improving processes, and enhancing quality. Lean Maintenance aims to thoroughly examine maintenance processes, identify waste areas, and implement relevant changes. The research has two primary objectives: first, to apply the maintenance concept at PGR to improve overall maintenance performance and streamline the maintenance procedure; second, to optimize the maintenance process using Lean Maintenance techniques to increase efficiency and responsiveness to production demands. The study found that by implementing alternative solutions using smart tools, maintenance costs can be reduced by 4% and maintenance time can be accelerated by 42%. These improvements address three types of waste: transportation (remote tool storage from the toolroom to the production area), transportation (technicians repeatedly borrowing measuring tools), and motion (technicians searching for suitable tools). The understanding and application of Lean Maintenance principles in the refined sugar industry, particularly at PGR, have practical implications. This research offers recommendations and guidance for similar businesses aiming to enhance their maintenance performance. Consequently, this study significantly contributes to the advancement of the refined sugar sector and the discipline of maintenance management.
Analysis of demand forecasting for Madura herbal medicine Rapet Wangi (Case study: PT. Firdaus Kurnia Indah)
Authors: Asfan Dian Farida , Ghooniyah Indriana Mahrotul , Maflahah Iffan
Published: November 2024

PT. Firdaus Kurnia Indah's Madurese herbal products include various types, one of which is rapet wangi’s herbal medicine. This herbal medicine is specifically designed for women and is in high demand among consumers. The large demand means that the supply of rapet wangi’s herbal medicine sometimes requires pre-order. The purpose of this study is to accurately forecast the demand for rapet wangi’s herbal medicine, it is necessary to forecast demand correctly using several forecasting methods. The demand data pattern for herbal medicine products is fluctuating, so the method that can be used is the time series method, namely moving average, weight moving average, exponential smoothing and exponential smoothing with trend. The results of the forecasting analysis that will be selected are the forecasting results with the smallest MAD (Mean Absolute Deviation), MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error). The smallest MAPE value indicates that the forecasting error is small. The results of this research, it can be concluded that considering the data on the quantity of raw materials at PT Firdaus Kurnia Indah, the exponential smoothing method is suitable for predicting rapet wangi’s product. This is evident from the MAPE values in all models used, which produce the smallest error at 23,19% with next period forecast is 935 product.
Beach quality index for beach tourism management in small islands
Authors: Romadhon Agus , Jakfar Abdul Aziz , Sugiharti Teti
Published: November 2024

Small island economies rely heavily on beach tourism as a critical economic driver. However, managing beach resources in these contexts poses significant challenges due to limited land, fragile ecosystems, and the need to balance the interests of local communities and visitors. The objectives of this study were to evaluate the water quality of beaches using distinct metrics, including pH and dissolved oxygen levels in the water surface, as well as the amounts of sediment coliform and solid waste. Additionally, the study aimed to develop a Beach Quality Index as a decision support tool for sustainable beach management in small island environments. The results showed that the water quality of the beaches varied across the study sites, with some locations exceeding national standards and thus deemed suitable for beach tourism. The study proposes the Beach Quality Index as a standardized framework to assess beach suitability for recreational use, guide management decisions, and promote sustainable beach tourism in small islands.
Classification of diabetes mellitus disease at Rato Ebuh Hospital-Indonesia using the K-Nearest neighbors method based on missing value
Authors: Putro Sigit Susanto , Putra Moh Abdan Syakura , Fatah Doni Abdul , Asmara Yuli Panca , Fauzan Hermawan Bin , Rochman Eka Mala Sari , Rachmad Aeri
Published: November 2024

Diabetes mellitus is a chronic disease often caused by high blood glucose levels and insufficient insulin production. This research aims to address the classification problem of diabetes mellitus using the K-Nearest Neighbor (K-NN) method. The aim of this research is to create a machine learning model that can detect diabetes early. The study was conducted at Syarifah Ambami Rato Ebu Hospital in Bangkalan, utilizing data from 120 patients in 2019, employing data mining techniques to classify diabetes mellitus patients. Additionally, the steps in data mining involve determining significant variables or features for classification Cleansing and normalization and transformation. The research compares training test results with ratios of 90:10, 80:20, and 70:30. Experimental results show that K-NN with a neighbor value of K=11 achieves the highest accuracy rate of 83% a reduced error rate of 16.67%, and the highest AUC value of 0.7407. These results indicate that the 90:10 data split ratio yields the best model performance in terms of accuracy and class differentiation for diabetes mellitus, as well as the lowest error rate compared to other data split ratios. This study provides a better understanding of diabetes mellitus and demonstrates that K-NN is effective in addressing classification problems, focusing on specific variables that influence the disease. Therefore, it can be concluded that K-Nearest Neighbor (K-NN) is a suitable algorithm for classifying diabetes mellitus.