bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automation of bull semen analysis through the development of a modular open technology device for cryopreservation
Authors: Prabaswara I D G W , Aryawan P O W , Haikal M , Akbar I , Jannah N , Ulum M F 
Published: July 2024

Abstract
Bull semen quality analysis is an important step before processing frozen semen for artificial insemination. Transportation from the shelter to the laboratory can reduce semen quality and kill the spermatozoa. This study aimed to develop a prototype that can automatically analyse bull semen quality using a modular open-technology device with multi-digital sensors that is comparable to standard laboratory measurements. The prototype components consisted of the following: (1) input: syringe as the semen container to be tested, do-it-yourself (DIY) water level sensor for volume measurement, Total Dissolve Solid (TDS) sensor for viscosity measurement, pH sensor for pH value measurement, and Light Dependent Resistor (LDR) for colour measurement; (2) process: Arduino Mega 2560 as a microcontroller; and (3) output: Liquid Crystal Display (LCD) 16x2 for displaying the measurement. The results showed that the coefficients of determination for the volume, TDS, and pH sensors were 1, 0.9993, and 0.9987, respectively. Data from the TDS and LDR sensor calibration results showed three viscosity levels (low: 300-599 ppm, moderate: 600-999 ppm, and high: 1.000-1.400 ppm) and three colour quality values (cloudy white: 40-59 Ω, milky white: 60-89 Ω, and creamy white: 90-130 Ω). The device developed was able to analyse semen quality in less than 5s and was displayed on an LCD screen.
Physical and chemical properties of boba beverages as a source of fiber made from red seaweed (Eucheuma cottonii)
Authors: Amini R , Palupi E , Ekayanti I 
Published: July 2024

Abstract
One-third of the global population is overweight or obese due to excessive calorie intake. A viable solution to addressing this issue involves boosting the consumption of high-fiber foods. This can lead to prolonged satiety, reducing the individuals of frequent food consumption. This study introduced a novel high-fiber food option: boba made from red seaweed (Eucheuma cottonii). The study investigated both the processing methodology of the red seaweed boba and its corresponding physical and chemical attributes. These included aspects such as color, viscosity, total phenol content, nutrient composition, shelf-life estimation, and microbial content analysis. These aspects were analyzed using the Folin-Ciocalteau method, a comparison of nutritional content with the Daily Dietary Recommendation, and microbiological tests. The total phenolic content of the developed boba was 79.8 mg.GAE/g, and it content high-fiber which contributing 36% of the recommended daily fiber intake for individuals aged 16-64 yo. Microbial content in the beverage is primarily responsible for its limited shelf-life (predicted at 26 hours). Nevertheless, the beverage could be well accepted as an alternative high-fiber food option.
Machine Learning Model to Determine Dominant Features in Palm Kernel Cake Quality
Authors: Irfansyah P , Purwanto Y A , Wijaya S H 
Published: July 2024

Abstract
Palm kernel cake (PKC), a by-product of palm oil production, has the potential to serve as a cost-effective alternative to traditional feed ingredients such as soybeans, owing to its nutritional value and affordability. However, its quality can vary significantly, impacting its suitability for different livestock. This study aims to develop a machine learning model to identify the dominant features influencing PKC quality using data from proximate analysis. Our model utilizes feature selection techniques and machine learning algorithms with a decision tree to determine the critical factors affecting key quality parameters, such as fat, dry matter, crude protein, crude fiber, and ash. We explore the relationship between these features and PKC suitability for different animal diets. Our novel approach sheds light on the intricate factors governing PKC quality, enabling improved processing and utilization of this valuable resource.
Composite flour with modified cassava-chicken feet flour: impact on baking quality, texture, and sensory evaluation of gluten-free cupcakes
Authors: Hastati D Y , Nuraeni A , Febrinda A E , Listiasari F R , Kuntari W 
Published: July 2024

Abstract
Mocaf is the product of cassava flour modification through fermentation with lactic acid bacteria, is whiter, and contains less protein than cassava flour. Mocaf can be prepared from various cassava and has great potential as a wheat flour substitute. This study aims to obtain ready-to-cook composite flour based on mocaf and chicken feet flour. The chicken feet flour was used as a source of protein. Before mixing with all ingredients, the mocaf was heated with variation conditions, i.e., oven drier 125±1 °C for 30 min; microwave 50 ±1 °C for 20 sec; and pressure cooker 5-10 psi for 5 min. The synergetic effect of mocaf and chicken feet flour revealed an increased protein of 9.1 %. The overall acceptability score of the panelist’s acceptance for cupcakes made with microwave heat-treated mocaf flour was 7.35 compared to 6.90 for the control. The cupcakes’ density was 0.49 ± 0.06 mg/cm3, whereas the control cupcakes yielded little volume and dense textures. The best results suggested a composite flour of chicken feet flour with heat-treated mocaf in the microwave for 20 sec at 50 ±1 °C. This study presents an environmentally sustainable method for increasing the protein content of mocaf by utilizing underutilized high protein-based sources.
Algorithm Design for Unmanned Aerial Vehicle Sprayer using Pulse Width Modulation for Precision Farming
Authors: Sebayang B A , Solahudin M , Supriyanto  
Published: July 2024

Abstract
Fertilizer and pesticide are the common materials used in agriculture productions. Application of pesticide in open field cultivations using hand sprayer is thought for humans to be precise and causes the toxicity potential for operators. Unmanned aerial vehicles (UAVs) with the precision spraying system are important as a cutting-edge technology to cope with this problem. However, there are still limitations UAV based sprayer with ability to adapt with the doze precisely based on the recommendations. The purpose of this study was to develop the design of algorithms for UAV sprayer using PWM (Pulse Width Modulation). The accuracy of the spraying location and dose given is based on the treatment map. Artificial intelligence is used as a tool to translate land condition maps into treatment maps. The Kriging function in the smart map module in QGIS is used to produce a land conditions map into a treatment map with a grid size according to the working width of the sprayer. The result of this research is a smart spraying concept guided by a treatment map in Geo-Tiff format which has latitude, longitude and spray dose information stored in single band data.
Catalytic Depolymerization of Lignin into Aromatic Monomers over Ru-Ni/TiO2 Catalysts
Authors: Idrus A , Rahmandari S , Ramadhoni B F , Maryati Y , Dwiatmoko A A , Agustian E , Widjaya R R 
Published: July 2024

Abstract
Lignin, a natural hydrocarbon polymer, can be converted into aromatic monomers via catalytic depolymerization. This study focuses on the lignin depolymerization into aromatic monomers through hydrogenolysis using bimetallic Ru-Ni supported on TiO2. TiO2 synthesis involves the hydrolysis of titanium alkoxide followed by modification with H3PO4:HNO3. TiO2 was impregnated with Ru and Ni at various ratios (5:0, 4:1, 2.5:2.5, 1:4, and 0:5). The characterization was performed using NH3 Temperature-Programmed Desorption (NH3–TPD), N2 physisorption, XRF, XRD, H2–TPR, and SEM analyses. XRD confirmed the presence of anatase TiO2 at 2θ = 25.28°, 38.02°, and 38.33°, while Ru was dispersed in TiO2, as supported by the SEM and XRF results. N2 physisorption showed a decrease in the surface area by 20.1–40.3 m2/g, with mesoporous characteristics (pore size: 1.7-24.4 nm) after impregnation. NH3-TPD results indicate that the metals ratio influences the acidity of the catalyst. GC-MS analysis of the depolymerization reaction for aromatic monomers showed optimal results over the Ru4Ni1/TiO2 catalyst, demonstrating selectivity and yield of 42.2% and 71 mg/g, respectively. This study highlights a promising avenue for lignin depolymerization through efficient catalyst design and process optimization.
Looking at the potential of HSP70 gene sequence in the germplasm of Indonesian green jungle fowl
Authors: Ulfah M , Alfiyan A , Perwitasari-Farajallah D , Farajallah A 
Published: July 2024

Abstract
It has long been known that the concentration of intracellular heat shock proteins will increase following stressful conditions, whether physical stress (heat, pH, osmotic), infection/infestation with parasitic organisms, or stress via neural pathways. The research aimed to characterize the Heat Shock Proteins (HSP) 70 gene in green jungle fowl (GJF) as a basis for germplasm sources in developing chickens resistant to heat stress. The sequence read archive (SRA) of GJF deposited in GenBank originating from Blora (Central Java), Banyuwangi (East Java), and Madura is called SRA data was compiled and aligned to the complete HSP70 gene from broiler chickens. The HSP70 gene segment in GJF is 2320 bp consisting of ‘5UTR (110 bp), CDS (1905 bp/635 aa) and 3’UTR (305 bp). The 5’UTR heterozygous condition was found in GJF Madura and Blora, each at one base position out of 110 bases, while the 3’UTR was found in GJF Madura and Blora also at four base positions out of 305 bases. Two differentiating bases exist between broiler chickens and GJF in the UTR area. Heterozygous conditions in the CDS area have 45 sites (from 1905 bp). The HSP70 sequence found in Indonesian green jungle fowl germplasm, especially in the gene control segments (5’UTR and 3’UTR), revealed promising therapeutic and agronomic potential.
An Artificial Neural Network Model for Predicting the Growth of Lettuce Crops in Hydroponic System with Root Zone Cooling
Authors: Ruslan  , Suhardiyanto H , Supriyanto  
Published: July 2024

Abstract
This study aimed to develop an artificial neural network model for predicting the growth of lettuce grown hydroponically. The model was developed using parameters including root zone temperature, air temperature, relative humidity, nutrient concentration, nutrient acidity, solar radiation, leaf area, and leaf number to estimate fresh weight in the next two days. The result of this study was an artificial neural network model with 13 hidden layers, 100 iterations of epoch, coefficient of determination (R2) of 0.93, and root mean squared error of 3.72 gram. This research concluded that the model performs well in predicting lettuce growth using fresh weight development during cultivation.
Analysis of Compliance with Green Building Based on Greenship of Existing Building: Case Study of Delta Building
Authors: Chadirin Y , Anwar M K , Fadillah R 
Published: July 2024

Abstract
Green building, as a sustainable building, has significant role in conserving the environment surrounding the campus by conserving water, improving energy efficiency, reducing carbon emissions, and improving efficiency in the use of natural resources. Implementing green building principles into daily operation and maintenance of building can be significant contribution to mitigate the global warming effects. The objective of this study is to analyze the alignment of the Delta Building with the greenship standards for existing buildings, version 1.1, as set forth by green building council Indonesia. This standard was used as a rating tool to conduct an assessment that containing 6 categories. The Delta Building has implemented green building in 6 categories of greenship and resulted in 43 of 117-point. The point of acquisition of each category is as follows: appropriate site development (ASD) contributed 7 of 16-point, efficiency, and energy conservation (EEC) contributed 19 of-36point, water conservation (WAC) contributed 2 of 10-point, material resources and cycle (MRC) contributed 2 of 12-point, indoor health and comfort (IHC) contributed 11 of 20-point and building environment and management (BEM) contributed 2 of 13-point. Performance of WAC, MRC and BEM should be improved by building manager to increase point and elevate the rating.
Combining ability and heterosis of tropical maize under acidic soil conditions
Authors: Zendrato Y M , Suwarno W B , Marwiyah S 
Published: July 2024

Abstract
The selection of inbred lines by combining abilities is an essential step for developing maize hybrids under abiotic stress. This research aimed to estimate the combining ability and heterosis of tropical maize under acidic soil conditions. Six inbred parental lines were crossed using the incomplete half-diallel mating design method Griffing II and evaluated using an augmented RCBD with three blocks and six hybrid checks replicated across blocks. The results revealed that combining ability variances affect all traits of maize, except GCA in grain yield. P13, P42, and L15 tended to have the best GCA in agronomic and yield components. Meanwhile, SCA of L152 x L26 (G03), L15 x B4B (G05), L26 x P13 (G08), and P42 x L15 (G10) had a significant effect on yield and several agronomic traits, followed by high positive heterosis of the hybrids. Similar to combining ability, selection based on MGIDI suggested that L152 × L26 (G03) and L15 × B4B (G05) were the best hybrids, determined by grain yield and six other traits. These findings can be used in maize breeding programs to tolerate acidic soil conditions.
Sajira Flash Flood at January 2020: Analysis Its Prolonged Impact on Family Life Aspects
Authors: Sunarti E , Safitri N A , Fitriyah A F 
Published: July 2024

Abstract
Flash floods in Sajira Subdistrict, Lebak Regency, Banten Province, on January 1, 2020, had a negative impact on the lives of survivor families. This study aims to elaborate on economic pressure, food coping strategies, and subjective well-being in Sajira flash flood survivor families living in two temporary shelters with different environmental conditions (DBM=Desa Bungur Mekar is better than DP=Desa Pajagan). This study was conducted 15 months after the disaster using a cross-sectional design with a retrospective approach. The sampling frame was an intact survivor’s family, with the wife as the respondent. Sixty families were purposively selected for this study. Until 15 months post-disaster, survivor families were still living in temporary shelters. The results showed that families in DBM shelters had lower objective economic pressure and higher subjective well-being than those in DP shelters. Families in DBM shelters had fewer food coping strategies than those in DP shelters. Objective economic pressure, food coping strategies, family residence, wife’s years of education, and the number of family dependents influence the family’s subjective well-being. The condition of shelters can be used as a predictor of socioeconomic conditions and family welfare so that they can be used as a basis for handling disaster assistance.
Role of entrepreneurial ecosystems to productive entrepreneurship
Authors: Tapsi S A , Baga L M , Feryanto  
Published: July 2024

Abstract
The interplay among business owners and their environment shapes an entrepreneurial ecosystem that supports a successful business. This study proposes to identify essential entrepreneurial ecosystem elements and to analyze the dependency between entrepreneurial ecosystems and productive entrepreneurship in different categories of regions. A Systematic Literature Review (SLR) approach was imitated to observe scientific articles that related to research questions. Primarily, the articles have been published with an h-index to the obey robustness method that was sourced from Scopus, Google Scholar, Emerald, and ProQuest. Various sources have been used to avoid bias. The results show that the most essential elements of entrepreneurial ecosystems are culture, finance, and networks. Then, this study confirmed that entrepreneurial ecosystems influenced productive entrepreneurship directly and indirectly. The mediation variables are entrepreneurial attitudes and innovations. Given the findings, achieving productive entrepreneurship can strengthen entrepreneurial ecosystems through entrepreneurial culture, convenient access to finance, and building networking. Moreover, supporting systems to implement entrepreneurial attitudes and innovations are needed for intercession toward productive entrepreneurship.
Empowering Environmentally Friendly Farmer Communities: Social Innovation to Support Sustainable Agriculture
Authors: Firmansyah A , Sumardjo  , Fatchiya A , Sadono D 
Published: July 2024

Abstract
This study aims to 1) analyze social innovations in empowering environmentally friendly farmer communities in Karawang Regency. 2) analyze the impact of environmentally friendly farmer communities on social, economic, and ecological aspects. 3) Analyzing the determining factors of program success. This research employs the social innovation analysis method through a combination of qualitative methods complemented by quantitative data, encompassing the fulfillment of community needs, the novelty element as a solution to community problems, the presence of social change, and the enhancement of community capacity. The study is situated in Plawad Village, Karawang Regency, and its findings reveal that social innovation positively impacts social, economic, and environmental dimensions. The program’s success is attributed to the participatory empowerment model, which influences the planning, implementation, execution, monitoring, and evaluation stages. Additionally, the capacity of change agents plays a pivotal role in cultivating community awareness, serving as a catalyst for the sustainability of this environmentally friendly agriculture.
Ecotourism: An alternative solution for socio-ecological crisis in Pahawang Island, Indonesia
Authors: Kristianto B , Novindra  , Sapanli K 
Published: July 2024

Abstract
Pahawang Island is one of the islands in Lampung Province that has high biodiversity but is very vulnerable to environmental issues. Pahawang Island has experienced severe ecological degradation due to exploitative and destructive economic activities that damaged its mangrove and coral reef ecosystems. Restoring the mangrove and coral reef ecosystems of Pahawang Island can be accomplished through ecotourism. The purpose of this study is to determine the economic value of ecotourism activities in Pahawang. The method used to analyze the economic value of Pahawang ecotourism is the Individual Travel Cost Method (ITCM). According to the findings of the analysis, Pahawang tourist attraction has an economic valuation of IDR 2,206,325,761.07 per year. This value indicates that this island has benefits as a producer of tourism services, where these benefits can be felt sustainably if the existence of the Pahawang tourist attraction area is maintained by preserving the various potential tourism resources within it, both natural, environmental, human as well as socio-cultural resources of the community.
Outcomes, impacts, and values of cajuput (Melaleuca cajuputi) oil business model in Perum Perhutani
Authors: Rochman N , Nugroho B , Trison S , Malik J 
Published: July 2024

Abstract
Forests are embedded in human life because they have three functions, namely ecological, social, and economic. One of the companies in Indonesia with the authority and capacity to manage the balance of multi-product utilization in forests is Perum Perhutani. Cajuput (Melaleuca cajuputi) oil is one of Perum Perhutani’s multi-product businesses. Value, outcomes, and impact are the key concepts in the business model literature. This research aims to evaluate the activity system of the cajuput oil business model at Perum Perhutani. In doing this, we use the activity systems perspective method to build a framework that blends a value-based perspective of business models with an analysis of related activities and incorporates perspectives on outcomes and impact. The results of Perum Perhutani’s cajuput oil business model activities have positive value for several partners such as forest village communities, farmer cooperatives, cajuput oil factories (packaged products), Palawi Limited corporation (a subsidiary of Perhutani), and consumers. This research shows that Perum Perhutani’s cajuput oil business activities provide social, economic, and environmental impacts, such as increasing public awareness of the benefits of forests’ sustainable land use and strengthening the mindset that cajuput oil products are socially, economically, and environmentally beneficial.
Sustainable Rural Business Ecosystem: Sago Noodles in Airputih Village, Bengkalis Island
Authors: Purwawangsa H , Irfany M I , Slamet A S , Rustiadi E , Prawiro B P , Haq D A 
Published: July 2024

Abstract
Sago plants (Metroxylon spp.) hold significant potential as carbohydrate sources in Indonesia, notably on Bengkalis Island, Riau, where sago plantations cover 67,759 ha, primarily community-owned (84.75%) and large private plantations (15.25%). Beyond its abundance, sago presents an alternative for sago noodles, offering economic prospects and energy absorption activities. This study examines the socio-economic impact of sago noodles’s ecosystem business in Airputih Village, Bengkalis Island, and evaluating the involvement of young farmers through the One Village One CEO program. Employing survey and Focus Group Discussions with sago noodle stakeholders, including farmers, processors, and development partners, involving 30 participants, the research employs descriptive statistics for analysis. Economic betterment is pursued through training and guidance on sago noodle processing, with experts from IPB enhancing drying and packaging techniques. The island’s sago production stands at 400kg/day, with sago noodle production creating job opportunities and improving social statuses. Furthermore, the Peatland and Mangrove Restoration Agency (BRGM) plays a pivotal role by restoring peat and mangrove areas and providing training and market networks for sago noodle products.
Climate change, villages and agromaritime: Current conditions and future challenges in Indonesia
Authors: Jannah R , Kolopaking L M , Adiwibowo S , Maarif S 
Published: July 2024

Abstract
Climate change has increased the vulnerability of rural areas and communities. Promotion of the agromaritime sector is crucial for ensuring food security and competitiveness, particularly in light of the challenges posed by climate change. This study answers two questions through a systematic literature review. First, what are the current impacts of climate change on communities/villages and the agromaritime sector development? Second, what are the current challenges faced in developing the agromaritime sector? This study analyzed 52 articles published on scopus.com between 2019 and 2023, using the keywords climate change, adaptation, community, village, agriculture, marine fisheries, and Indonesia. Research has found that climate change causes farmers and fishermen to experience dilemmas, crop failure, and loss of local knowledge. Environmental degradation such as marine litter, unsustainable fishing, and illegal fishing has weakened the maritime sector. The challenges in developing the agromaritime sector include inadequate infrastructure, higher community vulnerability due to climate change, and environmental degradation. Therefore, community development and innovation must be improved to develop the agromaritime sector.