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The term hydrocolloid generally refers to substances that form gels or provide viscous dispersion in the presence of water. Alginate, agar, and carrageenan are three commercially valuable hydrocolloids derived from certain brown and red seaweed and each has their distinct physicochemical properties (i.e. functional and bioactive). Various applications of these seaweed hydrocolloids as thickeners, stabilizers, coagulants and salves (in the wound and burn dressings) and materials to produce bio-medical impressions in the food, pharmaceutical, and biotechnology industries are highlighted in this review. Although the existing industrial methods of extraction for these seaweed hydrocolloids are well-established, still growing demand has exposed certain limitations of those methods, notably efficiency and product consistency. In order to achieve targeted hydrocolloids for specific purposes and functionalities, some novel and green extraction methods have also been proposed and discussed. Microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), enzyme-assisted extraction (EAE), supercritical fluid extraction (SFE), pressurized solvent extractions (PSE), reactive extrusion and photo-bleaching process are selectively presented as highly promising candidates that can avoid the use of chemicals and provide novel means of access to seaweed hydrocolloids with both economic and environmental benefits. However, this review does not provide the 'best' method or procedure as many are still under development. Hence, the review gives 'food for thought'as to new processes which might be adopted industrially and concluded that further research is required in order to contribute additional new knowledge and refinement to this field of study.

Alzheimer’s disease is a type of brain disease that indicate with memory impairment as the early symptoms. These symptoms occur because the nerve in the brain involved in learning, thinking and memory as cognitive function have been damaged. Alzheimer is one of diseases as the leading cause of death and cannot be cured, but the proper medical treatment can delay the severity of the disease. This study proposes the Convolutional Neural Network (CNN) using AlexNet architecture as a method to develop automated classification system of Alzheimer’s disease. The experiment is conducted using Magnetic Resonance Imaging (MRI) datasets to classify Non-Demented, Very Mild Demented, Mild Demented, and Moderate Demented from 664 MRI datasets. From the experiment, this study achieved 95% of accuracy. The automated Alzheimer’s disease classification can be helpful as assisting tool for medical personnel to diagnose the stage of Alzheimer’s disease so that the appropriate medical treatment can be provided.

Abstract Betta dennisyongi and Betta rubra are ornamental fish native to Aceh waters, facing a decline in population due to overexploitation and environmental changes. Therefore, this research aimed to obtain information regarding the reproduction of B. dennisyongi and B. rubra. The study was conducted from January to December 2020, with B. dennisyongi and B. rubra samples collected from Nagan Raya Regency and Aceh Besar, respectively. Approximately 1,099 Betta fish samples were successfully collected, comprising 600 B. dennisyongi and 499 B. rubra. The results showed that sex ratio (male:female) analysis had 1:5 and 1:6 for B. dennisyongi and B. rubra, respectively, indicating a predominance of female. Further analysis showed that only 15% of female B. dennisyongi samples had mature gonads out of 505 and 3.7% of male among 95 B. dennisyongi. Female of B. dennisyongi showed first mature gonads at a size of 3.86 cm, while male had maturity at 3.99 cm. For B. rubra, only 11.1% of female and 26.9% of male samples showed mature gonads out of 432 and 67, respectively. Female of B. rubra first matured gonads at a size of 3.86 cm, while male had maturity at 3.90 cm. Reproductive analysis showed that both species were continuous spawners in the year, as indicated by mature gonads in each month of observation, with fluctuating percentages. The peak spawning period for B. dennisyongi occurred in October, while B. rubra was observed in January. Consequently, it was recommended not to catch these species during their spawning months to maintain the sustainability of these endangered species. Resumo Betta dennisyongi e Betta rubra são peixes ornamentais nativos das águas de Aceh, que enfrentam um declínio populacional devido à superexploração e mudanças ambientais. Portanto, esta pesquisa teve como objetivo obter informações sobre a reprodução dessas duas espécies. O estudo foi conduzido de janeiro a dezembro de 2020, com amostras de B. dennisyongi e B. rubra coletadas em Nagan Raya Regency e Aceh Besar, respectivamente. Aproximadamente 1.099 amostras de peixes Betta foram coletadas, compreendendo 600 B. dennisyongi e 499 B. rubra. Os resultados mostraram que a análise da proporção sexual (macho:fêmea) foi de 1:5 e 1:6 para B. dennisyongi e B. rubra, respectivamente, indicando uma predominância de fêmeas. Análises posteriores mostraram que apenas 15% das amostras de fêmeas de B. dennisyongi tinham gônadas maduras (de um total de 505), enquanto entre os 95 machos analisados, apenas 3,7% estavam sexualmente maduros. A fêmea de B. dennisyongi apresentou as primeiras gônadas maduras com um tamanho de 3,86 cm, enquanto o macho teve maturidade com 3,99 cm. Para B. rubra, apenas 11,1% das amostras de fêmeas e 26,9% dos machos apresentaram gônadas maduras de 432 e 67, respectivamente. A fêmea de B. rubra apresentou as primeiras gônadas maduras com um tamanho de 3,86 cm, enquanto o macho teve maturidade com 3,90 cm. A análise reprodutiva mostrou que ambas as espécies foram reprodutoras contínuas ao longo do ano, conforme indicado pelas gônadas maduras em cada mês de observação, com percentuais flutuantes. O pico do período de desova para B. dennisyongi ocorreu em outubro, enquanto o de B. rubra se deu em janeiro. Recomenda-se não capturar ambas as espécies durante os meses de desova, para manter a sustentabilidade dessas espécies ameaçadas.

In 2015, the Government, through a special allocation fund, has finished constructing an off-grid 15 KWp off-grid solar power plant in Paya Tampah Village, Aceh Tamiang district. The long-term reliability of solar power plants is highly reliant on on-site measurements because of the vagueness in some of the constantly-changing variables such as irradiation, drought rate, which possibly lead to cause significant power losses and which turn out to also affect the estimated cost of PV (kWh). With the aim of upgrading capabilities in off-grid solar power plant planning especially in the province of Aceh, this paper outlining detailed comparison of the results of calculating the performance of off-grid 15 KWp off-grid solar power among system performance measurement results after 2 years of operation. Performance calculations performed with the assistant of PVsyst software. The measurement results characterize the total power generated by the off-grid solar power plant is 15 kWp and used by 38 households. The result of this investigation is expected to be used by local governments to be a benchmark on the future planned off-grid solar power plant planning.

Dynamic models of higher education Key Performance Indicators (KPI) help in understanding how internal and external factors affect future KPI achievement. This study aims to construct a dynamic model of university KPI variables and estimate model parameters value. Several used steps to achieve goals are problem definition, variables, model formulation, prerequisite estimation, and conformity analysis. This model involves eight KPIs and three types of funding. Three optimization methods used are Type I constrained optimization, Type II constrained optimization, and unconstrained optimization. The results showed that the percentage of graduates getting decent jobs (KPI 1) in the future year is strongly influenced by two KPIs, namely the work of lecturers (KPI 5) and study programs with international accreditation (KPI 8). The existence of active practitioners (KPI 4) opens opportunities for international cooperation (KPI 6) and collaborative learning (KPI 7). Significant investment in improving the quality of lecturers and the right allocation of funds has proven to impact achieving the goals of higher education positively.

BACKGROUND AND OBJECTIVES: Understanding the correlation between tidal rhythms and marine organism behavior is crucial. This extends beyond fluctuations in chlorophyll a concentrations and includes various biological processes in the marine environment. Awareness is key for a comprehensive perspective on the role of tidal forces, affecting ocean's physical aspects and life form diversity. This study aims to explore the complex relationship between tidal movements and chlorophyll a concentrations in the northern Bay of Bengal, focusing on how tidal rhythms affect chlorophyll a concentrations. METHODS: The analyzed variables include tidal parameters, such as lunar semidiurnal tidal characteristics and Simpson-Hunter parameters, as well as sea level, tidal current, and current magnitude, obtained from the Tidal Model Driver. Additionally, hourly chlorophyll a data for January 2022 were acquired from the geostationary meteorological satellite Himawari-8, and the rate of change of chlorophyll a was determined through chlorophyll a calculations. This study employs wavelet analysis, applying continuous wavelet transform and wavelet transform coherence for chlorophyll a, rate of change of chlorophyll a, sea level, tidal current, and current magnitude, to explore oscillation patterns and temporal correlations within the marine ecosystem of the northern Bay of Bengal. FINDINGS: Lunar semidiurnal tidal amplitudes increase toward the north, peaking at the Sagar and Ramree Islands, and tidal phases rise from south to northeast. Most of the bay, categorized by <0.25 Formzahl values, experiences semidiurnal tides. Surface lunar semidiurnal elliptic currents, stronger in the north and east, flow clockwise and turn counterclockwise toward the south. The Simpson-Hunter parameter indicates heightened tidal mixing, particularly along the northern and eastern coasts. Region 2 showed the highest mean chlorophyll a concentration (12.58 milligram per cubic meter), whereas Region 1 showed the lowest mean chlorophyll a concentration (0.79 milligram per cubic meter). Similar trends were observed for tidal current and current magnitude. The continuous wavelet transform analysis provides data on chlorophyll a and the rate of change of chlorophyll a within 6, 12, and 24 hours, sea level changes within 8-16 hours, and consistent tidal effects on tidal current and current magnitude in the range of 5-7 hours. The wavelet transform coherence analysis highlights the relationships between chlorophyll a and sea level over 12 and 24 hours periods and between chlorophyll a and current magnitude. Furthermore, the wavelet transform coherence analysis examines the rate of change in chlorophyll a in relation to tidal currents over 6, 12, and 24 hours. CONCLUSION: Tides remarkably affect chlorophyll a concentrations. There are strong links between chlorophyll a concentrations and key tidal aspects, such as sea level and current magnitude. Higher tidal variables correlate with increased chlorophyll a concentrations and are related to the Simpson-Hunter parameter, indicating that regions with vigorous mixing show higher chlorophyll a concentrations. This finding highlights the major role of tidal forces and variations in the chlorophyll a concentrations in the Bay of Bengal. The wavelet transform coherence analysis of chlorophyll a, sea level, and current magnitude data in Regions 1, 2, and 3 show notable coherence in all areas.

The Betta broodfish supply in Indonesia majorly comes from wild populations and fetches a higher price compared to hatchery cross-breeds, especially Betta rubra. This condition exerts pressure on the wild populations. Therefore, this study aims to examine the diversity, distribution, and conservation status of Betta fish species list in the study area. A total of 422 Betta fishes were collected from January 2019 to January 2021 from 19 of 59 sampling locations surveyed, consisting of four species, namely, Betta imbellis (TL: 14.09-31.98 mm; BW: 0.03-0.39 g), B. splendens (TL: 21.09-40.14 mm; BW: 0.05-0.70 g), B. rubra (TL: 11.35 to 47.80 mm; BW: 0.02-0.90 g), and B. dennisyongi (TL: 20.09-47.81 mm; BW: 0.07-0.91 g). There are four Betta species occurred in Aceh waters, namely B. dennisyongi, B. rubra, B. splendens, and B. imbellis. The results showed that B. dennisyongi was found at 8 sampling locations and had higher local distribution (13.56% LD) followed by B. rubra (8.47% LD), B. splendens (6.78% LD) and B. imbellis which had the lowest distribution and was only found in two locations (3.39% LD). Furthermore, field measurements (in situ) of water quality in the wild habitat showed temperature ranging from 23.7 to 31.9°C while pH ranged from 5.24 to 8.51. Based on the IUCN Redlist data, B. rubra is categorized as being critically endangered.

This study aims to analyze and find a digital marketing literacy model in the development of the culinary creative home industry in the city of Makassar. This research is designed to produce an innovative and effective digital marketing literacy model with a descriptive qualitative approach. The types of data sources are primary data and secondary data using data collection techniques through observation and interviews with data analysis techniques carried out through interactive techniques, namely data collection, data condensation, data presentation, and verification/conclusion. The results showed that the results showed that; Digital literacy by creative culinary industry players in Makassar City is less effective, this is considered by culinary business actors to lack understanding of the functions of various social media and in creating product content whose quality is still low, and less interactive according to market needs. The findings of this study also formulated a digital marketing literacy model into two very important stages for culinary industry players in implementing effective digital marketing, namely the Persuasion stage by strengthening knowledge about Social Networking, Maintaining Privacy, and Transliteration. The second is the Decision-Making stage to create a Digital Identity, Create Content, and Self Broadcasting.

BACKGROUND AND OBJECTIVES: Soil or rock properties where buildings are situated play an important role in the ground shaking caused by an earthquake. The highly populated Banda Aceh city in the northernmost Sumatra is flanked by two active faults, the Seulimeum and the Aceh segment. Therefore, it is crucial to investigate the subsurface characteristics of the region to reduce the earthquake risk as there was no regional study has been conducted so far. METHODS: Characteristics of the soil or rock of the subsurface were derived from various seismic parameters. The seismic microtremors were recorded at 36 sites covering the highly populated city and the two active faults. The spatial autocorrelation method was used to obtain a dispersion curve based on the relationship between seismic frequencies and phase velocity from triangular geophones array to determine the shear wave velocity of the subsurface layer. The seismic amplification, dominant frequency and vulnerability value at each measurement point were measured using the horizontal-to-vertical spectral ratio method. The maps of velocity structure and HVSR parameters were generated from the interpolation of those seismic parameters. FINDINGS: Based on the variation of the four geophysical parameters: shear wave velocity, seismic amplification, dominant frequency, and seismic vulnerability, the study area can be clustered into five different groups: I) Banda Aceh, II) Jantho, III) Krueng Raya, IV) Lhoknga-Lhoong, and V) Seulawah, which classify the different types of rocks. The classification of soil properties from the combination of shear wave and horizontal-to-vertical spectral ratio data correlates with the geology of the study area. CONCLUSION: The Banda Aceh city, flanked by the two active faults, is characterized by low shear wave velocity and high amplification because the city stands on the sedimentary basin; thus, it requires a detailed investigation prior to constructing infrastructures. The other clusters are located on the relatively less vulnerable areas, indicated by moderate shear wave velocity and moderate to low seismic vulnerability indexes. The joint analysis shows that the combination of physical properties, including the shear wave velocity, seismic amplification, and dominant frequency, can be used to investigate lithology and seismic vulnerability into a specific cluster. The research results are essential for hazard mitigation and can be used for disaster risk management by the local government. A detailed investigation with denser measurement points needs to be conducted to comprehensively describe the types of rocks in Banda Aceh and its surrounding.

A major facilitator superfamily (MFS) transporter is an active secondary transport system that uses a chemiosmotic ion gradient to transport small molecules. MFS is part of the efflux pump group of proteins and is responsible for releasing toxic compounds and contributing to the antimicrobial resistance mechanisms. In this study, we aimed to detect MFS genes from a collection of Enterobacteriaceae (n=60) isolated from cloacal swabs of chickens. After DNA extraction and amplification, only four isolates (6.7%) were regarded positive for MFS genes and subjected to Sanger dideoxy sequencing. A BlastX search in GenBank ® showed that four positive samples with approximate length 300 bp were identified as MSF transporter from Klebsiella pneumoniae with a similarity of 97-98%. This finding warrants further study to confirm both phenotypic and genotypic resistance profiles that correlate with bacterial multidrug efflux pump mechanism.