bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ekstraksi, Karakterisasi dan Uji Aktivitas Antioksidan Astaxanthin dari Produk Fermentasi Udang (Cincalok)
Authors: Mauludia Mauludia , Usman Thamrin , Rahmalia Winda , Imam Prayitno Dwi , Nani Nurbaeti Siti 
Published: December 2021

Shrimp is one of the aquatic organisms that contain several active compounds, including astaxanthin. Cincalok is one of the fermented shrimp products containing astaxanthin. This study aims to determine the characteristics of astaxanthin extract from cincalok and its antioxidant activity. Extraction of astaxanthin from cincalok was carried out using the reflux method with acetone : cyclohexane (20:80 v/v) as a solvent. The identification and characterization of astaxanthin was carried out using thin-layer chromatography (TLC), UV-Vis spectrophotometry, and High-Pressure Liquid Chromatography (HPLC). Meanwhile, the antioxidant activity test was carried out using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method in one serial concentration (5; 15; 25 ppm). The results of TLC analysis showed that astaxanthin in cincalok extract has Rf value (0.32). The analysis using a UV-Vis spectrophotometer produced a spectrum with a maximum wavelength of 477 nm, which corresponds to the maximum wavelength of standard astaxanthin. The yield of astaxanthin extract from cincalok in this study was 1.47 mg/100 g wet weight. The chromatogram from the results of UHPLC analysis showed that the retention time of cincalok astaxanthin extract was 6.27 minutes with a purity of 18.03%. The antioxidant activity of cincalok astaxanthin extract was 568.32 ppm. Udang merupakan salah satu organisme air yang mengandung banyak senyawa aktif, termasuk astaxanthin. Cincalok merupakan salah satu produk hasil fermentasi udang yang mengandung astaxanthin. Penelitian ini bertujuan untuk mengetahui karakteristik ekstrak astaxanthin dari cincalok dan aktivitas antioksidannya. Ekstraksi astaxanthin dari cincalok menggunakan metode refluks dengan pelarut aseton:sikloheksan (20:80 v/v). Identifikasi dan karakterisasi astaxanthin dilakukan dengan menggunakan kromatografi lapis tipis (KLT), spektrofotometri UV-Vis, dan High Pressure Liquid Chromatography (HPLC). Sedangkan uji aktivitas antioksidan dilakukan menggunakan metode 1,1-difenil-2-pikrilhidrazil (DPPH) dengan memvariasikan konsentrasi larutan uji, yaitu 5; 15; 25 ppm. Hasil dari penelitian ini melaporkan astaxanthin pada ekstrak cincalok menunjukkan nilai Rf 0,32 pada kromatografi lapis tipis (KLT). Hasil analisis menggunakan spektrofotometer UV-Vis menghasilkan spektra dengan panjang gelombang maksimum 477 nm, yang sesuai dengan panjang gelombang maksimum astaxanthin standar. Randemen ekstrak astaxanthin dari cincalok pada penelitian ini adalah 1,47 mg/100 g berat basah. Kromatogram dari hasil analisis UHPLC menunjukkan waktu retensi ekstrak astaxanthin cincalok yaitu selama 6,27 menit dengan kemurnian sebesar 18,03%. Aktivitas antioksidan dari ekstrak astaxanthin cincalok diperoleh sebesar 568,32 ppm.
Pemetaan Lamun Mengunakan Machine Learning Dengan Citra Planetscope Di Nusa Lembongan
Authors: Ginting Devica Natalia Br , Arjasakusuma Sanjiwana 
Published: December 2021

Seagrass is one community in benthic habitat that has tremendous benefits for the ecosystem, however the existence of seagrass has been frequently marginalized in recent decades. Seagrass beds functions as a blue carbon ecosystem which are able to absorb carbon higher than terrestrial vegetation. Therefore, it is important to detect and map the seagrass beds distribution to calculate the potential carbon uptake from seagrass. The seagrass mapping can be employed efficiently by using remote sensing imagery and the use of machine learning technology. This research aims to examine the utilization of PlanetScope imagery (3.7 m spatial resolution) for seagrass mapping and to subsequently examine, the effect of atmospheric corrections, sun-glint, and the water column corrections on the accuracy of seagrass mapping. In addition, this study also identified the cover changes in seagrass area from 2016 to 2021 in Nusa Lembongan. The study utilized the tree-based machine learning methods such as decision tree and random forest. The results showed that the best model accuracy was generated by using raw PlanetScope data the best model accuracy of 98% and classification accuracy of 94% from decision tree method. Based on the decision tree mapping using PlanetScope data for 2016 and 2021, there was a decline in the seagrass cover from 100.53 hectares to 97.31 hectares. Lamun merupakan salah satu dari ekosistem habitat bentik yang memiliki manfaat yang sangat besar namun sebagai ekosistem, kehadiran lamun sering dikesampingkan beberapa dekade terakhir. Fungsi padang lamun sebagai ekosistem karbon biru mampu menyerap karbon lebih tinggi dibandingkan vegetasi daratan. Karena itu, penting untuk mendeteksi dan memetakan informasi padang lamun untuk memperhitungkan serapan karbon oleh lamun. Pemanfaatan lamun dapat dilakukan secara cepat dan efisien dengan mengunakan teknologi penginderaan jauh dan pemenfaatan teknologi machine learning. Penelitian bertujuan untuk mengkaji pemanfaatan citra PlanetScope untuk memetakan lamun dan selanjutnya menganalisis pengaruh kalibrasi atmosferik, sun-glint, dan kolom air terhadap akurasi pemetaan padang lamun. Selain itu, perubahan tutupan lamun tahun 2016 – 2021 di Nusa Lembongan juga dipetakan. Penelitian ini menggunakan metode machine learning berbasis pohon seperti decision tree dan random forest. Hasil penelitian menunjukkan akurasi model terbaik dihasilkan dengan menggunakan data mentah dengan akurasi model 98% dan akurasi klasifikasi 94% dari metode decision tree. Berdasarkan data PlanetScope tahun 2016 dan 2021 dengan mengunakan metode decision tree terjadi penurunan luasan lamun dari 100,53 Ha menjadi 97,31 Ha.
Struktur Komunitas Echinodermata pada Berbagai Tipe Habitat di Daerah Intertidal Pantai Lakeba, Kota Baubau Sulawesi Tenggara
Authors: Tala WD. Syarni , Kusrini Kusrini , Jumiati Jumiati 
Published: December 2021

Echinoderms are one of organisms that inhabit intertidal areas which have important ecological roles in marine ecosystems, also have high economic values. The community structure and distribution pattern of Echinoderms in the intertidal area can provide an overview of the condition of the Echinoderm community. This research aims to determine the community structure of Echinoderms in various habitat types in the intertidal areas of Lakeba Beach, Baubau Town. The community structure of Echinoderms were observed using quadratic transec method. Echinoderms found were 777 individuals consisting of 18 species from 5 classes. Echinoderms were distributed in four habitat types, i. e. sandy, sand covered with seagrass, rocky, and rock covered with algae habitats. The highest abundance of Echinoderm was Ophiocoma scolopendrina (Ophiuroidea) and the lowest were Maretia planulata, Arachnoides placenta (Echinoidea), Holothuria scabra, H. leucospilota, Stichopus horrens (Holothuroidea), and Isocrinidae (Crinoidea). The species diversity of Echinoderms was categorized as moderate (H’ = 1,42180), species evenness was moderate (E = 0,49191), and no dominant species of Echinoderm community (D = 0,36601). Echinoderm community living in the intertidal area was influenced by antropogenic factors. Echinodermata merupakan salah satu organisme yang mendiami daerah intertidal yang memiliki peran ekologis penting bagi ekosistem laut, juga memiliki nilai ekonomis yang tinggi. Struktur komunitas dan pola distribusi Echinodermata pada daerah intertidal dapat memberikan gambaran mengenai kondisi komunitas Echinodermata. Penelitian ini bertujuan untuk mengetahui struktur komunitas dan pola distribusi Echinodermata di daerah intertidal Pantai Lakeba, Kota Baubau. Struktur komunitas dan pola distribusi Echinodermata diamati menggunakan metode transek kuadrat. Echinodermata yang ditemukan berjumlah 777 individu yang terdiri atas 18 jenis dari 5 kelas. Echinodermata terdistribusi pada empat tipe habitat yaitu habitat pasir, pasir yang ditutupi lamun, batu, dan batu yang ditutupi alga. Echinodermata yang memiliki kelimpahan tertinggi adalah Ophiocoma scolopendrina (Ophiuroidea) dan kelimpahan terendah adalah Maretia planulata, Arachnoides placenta (Echinoidea), Holothuria scabra, H. leucospilota, Stichopus horrens (Holothuroidea), dan Isocrinidae (Crinoidea). Keanekaragaman jenis Echinodermata dikategorikan sedang (H’ = 1,42180), kemerataan jenis sedang (E = 0,49191) dan tidak ada jenis yang dominan dalam komunitas Echinodermata (D = 0,36601). Komunitas Echinodermata yang hidup di daerah intertidal pantai dipengaruhi oleh faktor antropogenik.
Morfometri, Pemijahan, dan Indeks Kematangan Gonad Teripang Komersial di Perairan Pulau Nyamuk, Karimunjawa
Authors: Mustagfirin Mustagfirin , Wijayanti Diah Permata , Subagiyo Subagiyo 
Published: December 2021

Sea cucumbers are marine organisms that live in coral reef ecosystem habitats and their associations. Sea cucumbers have been used by communities as food, cosmetics and traditional medicine in various countries. The benefits and high economic value of sea cucumbers make fisheries activities occured massively and continuously. Sea cucumbers were large commodity from Indonesian waters. However, until now it has not received proportional attention. The lack of information on morphometry, spawning in various regions has made the commodity of sea cucumbers decreased. This research was conducted to determine the character of commercial sea cucumber commodities in Pulau Nyamuk, to the occurrence of spawning based on the moon phase. This research was conducted in September - November 2020. This research method uses an analysis approach of gonadal maturity index in determining the spawning of sea cucumbers. The results showed that commercial sea cucumbers in Pulau Nyamuk were Pisang (Holothuria sp.) and Gamat (Stichopus sp.) Sea cucumber. This sea cucumber weighs 300-690 grams wet. Sea Cucumbers, Pisang and Gamat tend to have high IKG values in the new moon phase with IKG index values >10%. Teripang merupakan organisme laut yang hidup pada habitat ekosistem terumbu karang dan asosiasinya. Teripang telah dimanfaatkan oleh masyarakat di sekitar pantai sebagai bahan makanan, kosmetik serta obat tradisional di berbagai negara. Manfaat serta nilai ekonomi teripang yang tinggi membuat aktivitas pemburuan terjadi secara masif dan terus menerus. Teripang juga merupakan komoditas besar yang berasal dari Perairan Indonesia. Namun hingga saat ini belum memperoleh perhatian yang proporsional. Minimnya informasi mengenai morfometri, pemijahan di berbagai daerah membuat komoditas teripang turun secara drastis. Penelitian ini dilakukan untuk mengetahui karakter komoditas teripang komersial di Pulau Nyamuk, hingga terjadinya pemijahan berdasarkan fase bulan. Penelitian ini bulan September - November 2020 di Perairan Pulau Nyamuk Kecamatan Karimunjawa, Kabupaten Jepara. Metode penelitian ini menggunakan pendekatan analisis indeks kematangan gonad dalam menentukan pemijahan teripang. Hasil penelitian menunjukkan bahwa teripang komersial di Pulau Nyamuk adalah jenis teripang Pisang (Holothuria sp.) dan Gamat (Stichopus sp.). Teripang ini mempunyai berat 300-690 gram basah. Teripang Pisang dan Gamat cenderung mempunyai nilai IKG yang tinggi pada bulan baru dengan nilai indeks IKG >10%.
Variasi Temporal Kelompok Ikan Terumbu Karang di Pulau Tidung Kecil Menggunakan eDNA Metabarkoding dan Sensus Visual
Authors: Zuhdi Muhammad Fahmi , Madduppa Hawis , Zamani Neviaty P. 
Published: December 2021

Coral reef fish are play key role in coral reef ecosystem. The presence of reef fish affected by antrophogenic and natural factors, such seasonal changes. This study aimed to asess the temporal variation of coral reef fish group in Tidung Kecil Island using eDNA metabarcoding and Undewater Visual Census. This research was conducted at December 2019 (West season) and August 2020 (East season). Target group are dominated in west season (64.1%) and east season (59.25%) using eDNA metabarcoding. While, major group fish are the highest relative abundance in both season by using Underwater Visual Census. Family Carangidae are the highest species richness (15 species) in wet season and Serranidae (3 species) in east season, respectively. Futhermore, famili Pomacentridae are the most richness species in west and east seasons 10 and 11 species respectively. Thus, it can be concluded these two methods are effective for monitoring structure or abundance of coral reef fish based on seasonal variation. Ikan karang menjadi indikator dalam menilai keanekaragaman hayati di ekosistem tersebut. Keberadaan ikan di ekosistem terumbu karang dapat dipengaruhi oleh faktor antropogenik dan faktor alam salah satunya perubahan musim. Penelitian ini bertujuan untuk menganalisis kelimpahan kelompok ikan terumbu karang di Pulau Tidung Kecil menggunakan eDNA metabarkoding dan Sensus Visual. Pengambilan data dilakukan pada bulan Desember 2019 (musim barat) dan Agustus 2020 (musim timur). Ikan target mendominasi pada musim barat dan timur dengan persentase sebesar 64.11% dan 59.25%. Sensus visual berhasil mendeteksi ikan mayor dengan persentase tertinggi 62.5% di musim barat dan 82.8% di musim timur. Famili Carangidae merupakan famili dengan jumlah spesies tertinggi di musim barat (15 species) dan Siganidae di musim timur menggunakan eDNA metabarkoding (3 species). Hasil UVC menunjukkan famili Pomcentridae memilki jumlah spesies tertinggi di kedua musim (11 dan 10 spesies) menggundakan sensus visual. Dapat disimpulkan bahwa kedua metode tersebut dapat menjadi pendekatan dalam monitoring struktur atau kelimpahan ikan terumbu karang berdasarkan musim.
Analisis Tutupan Mangrove Taman Nasional Berbak–Sembilang melalui Citra Landsat-8 dan Pemantauan LAI
Authors: Ulqodry Tengku Zia , Aprianto Andreas Eko , Agussalim Andi , Aryawati Riris , Absori Afan 
Published: December 2021

Berbak Sembilang National Park of South Sumatra Region (BSNP South Sumatera) is the largest mangrove ecosystem in the western part of Indonesia. Monitoring of mangrove coverage in BSNP South Sumatera carried out using Landsat-8 imagery data based on NDVI values (Normalized Difference Vegetation Index) integrated with mangrove LAI (Leaf Area Index) data. The research purpose was to analyze the mangrove coverage and mapping the density of the mangrove vegetation canopy with the integration of remote sensing data and LAI. This research conducted field survey with LAI measurement of mangrove canopy coverage and integrated with remote sensing data to validate map. The determination and correlation coefficient of NDVI and LAI value of canopy coverage was high (R2 = 0.69 ; r = 83.07).The results of research indicated that the overall distribution of the mangrove area was 94,622.05 ha. The NDVI image integration map with LAI resulted in 4 mangrove canopy density classes consisted of rare canopy (688.80 ha ; 0.73%), moderately dense canopy (1,139.55 ha ; 1.2%), dense canopy (35,003.46 ha ; 37%), and very dense canopy (57,790.20 ha ; 61.07%). Taman Nasional Berbak Sembilang wilayah Sumatera Selatan (TNBS Sumsel) merupakan kawasan ekosistem mangrove terluas di wilayah Indonesia bagian barat. Pemantauan kerapatan kanopi vegetasi mangrove di TNBS Sumsel dilakukan menggunakan data Citra Landsat-8 berdasarkan nilai NDVI (Normalized Difference Vegetation Index) yang diintegrasikan dengan data LAI (Leaf Area Index) mangrove di lapangan. Penelitian ini bertujuan untuk menganalisis tutupan vegetasi mangrove dan memetakan sebaran kerapatan kanopi mangrove dengan integrasi data penginderaan jauh dan LAI. Penelitian ini menggunakan metode pengolahan data survei lapangan dan hasil pengolahan citra satelit. Nilai koefisien determinasi dan korelasi antara nilai NDVI dengan nilai LAI tutupan Kanopi di Lapangan dikategorikan tinggi (R2 = 0,69 ; r = 83,07). Hasil penelitian menunjukkan tutupan mangrove secara keseluruhan seluas 94.622,05 ha. Peta integrasi citra NDVI dengan LAI mangrove di lapangan menghasilkan 4 kelas kerapatan kanopi mangrove yakni kanopi jarang seluas 688,80 ha (0,73%), kanopi sedang seluas 1.139,55 ha (1,2%), kanopi lebat seluas 35.003,46 ha (37%), dan kanopi sangat lebat seluas 57.790,20 ha (61,07%).
Antioxidant activity of Alginate Oligosaccharides (AOS) from Sargassum sp. for Improving the Cutaneous Wound Enclosure in Zebrafish (Danio rerio)
Authors: Hidayati Jelita Rahma , Yudiati Ervia , Pringgenies Delianis , Mansur Zaneb M. Ben , Idris Fadhliyah 
Published: December 2021

Sargassum sp. classified as brown seaweed which is known as an alginophyte (alginate producer). Alginate has undergone a depolymerization process called alginate oligosaccharides (AOS) and has been shown to have antioxidant activities to increase wound tissue recovery. This study aimed to determine the antioxidant activity of Alginate oligosaccharides (AOS) and their ability to improve the cutaneous wound enclosure in Zebrafish (Danio rerio). The IC50 value was used to calculate the ability of extract to inhibit free radicals using DPPH (516 nm). Zebrafish were immersed 12 hours before the injury and shortly after injury with a two factorial design, i.e., alginate concentration and immersion time. Zebrafish were immersed for 1 hour, 3 hours, and 5 hours with serial concentration of 200 ppm, 400 ppm, and 600 ppm, respectively. Morphological observations were carried out at the the first day, fourth day, tenth day, and twenty-first-day post wounding. The results of this study showed that alginate from Sargassum sp. has a yield of 40.5 ± 1.125% with a purity level of 89.95%. Based on antioxidant activity, alginate is categorized as moderate (178,377 ppm) and evidently has the ability to increase wound recovery compared to control. It has indicated by the formation of the wound enclosure.
Dynamic Linear Interdependence between International Trade and Macroeconomic Stability in Nigeria: A Vector Error Correction Modelling.
Authors: Tuaneh Godwin Lebari , Essi Isaac Didi , Ozigbu C Johnbosco 
Published: December 2021

Causal relationships are often treated erroneously in isolation as a single equation without the consideration of the endogeneity of right-hand side variables and also without recourse to the presence of coco-integration. This study modelled and estimated the dynamic linear interdependence between international trade and macroeconomic stability in Nigeria. The specific objectives were to, establish the trend of the study variables, model and estimate the interdependence existing among total export, total import, exchange rate, and inflation rate, determine the significant causalities and summarize the causal channels among the study variables. The study used the quasi-experimental design. The study used monthly time series data which span from January, 2000 to June, 2019. The data on all the variables were sourced from the Central Bank of Nigeria Statistical Bulletin. Appropriate models were specified in line with the objectives. The study used the Vector Error Correction Models, the pre and post-diagnostic tests were also conducted. The unit root test results showed that the variables were integrated of order one [I(1)]. The co-integration test results showed 1 co-integrating equation and VAR lag length selection criteria choose lag 2. The Vector Error Correction Result showed that inflation rate was the most explained by variations in the independent variables (R2 =73.4%) while exchange Rate was the least explained (R2 =18.8%), the total export model had R2 =53.8% and total import model had (R2 =59.2%. Significant bi-directional causality was found between total export and inflation rate, and also between total import and inflation rate. There was also significant joint causality on total import and also on exchange rate. The post test showed that the models were stable. It was recommended that the right-hand side variables should be tested for endogeneity before concluding on single or system equation. It was also recommended that policies to check inflation rate should consider possibility of shocks to international trade.
Change Management via Data Analytics for a successful Lean Transformation of Public Companies
Authors: Angelopoulos Michail , Pollalis Yannis 
Published: December 2021

Data analytics is one of the biggest "revolutions" that have taken place in recent years at the business level, enabling many companies to go through a digital transformation, reducing risks and costs and making them more Agile and Lean. Data analytics is a process with heavy business relevance, companies are analyzing data - numbers mainly - and trying to determine decisions for the future based on it.
Hence, severe pressure is being posed on public companies to dwindle their operational costs. A method contributing to this direction is the Lean philosophy, as through proper strategies, with its practices and tools leads to substantial resources saving. Each company possesses a unique way of integrating the principles and practices of Lean Management. In other words, there is no specific methodology, which is applicable by every business worldwide. Explicit condition for the success of Lean Management is the presence of the Effective Change Management.
Data analysis is achieved by using the quantitative research method, which highlights the existence of influence as a "moderator effect" of the strategy followed by an effective change management compared to the aforementioned critical success factors (CSFs) was examined by performing interaction analysis in "IBM SPSS Amos 21, so that the parsimonious transformation is feasible. The quantitative approach is based on sample research with standardized questionnaire actualized at the two biggest Greek companies of public interest and utility purpose. The data from the participants’ responses ere inserted on a data basis «SPSS Version 23 for Windows».
The findings of the research showed that human and organizational factors determine the greatest part of the effective integration of the Lean Management in public companies.
The study examined, the influence of an Effective Change Management on important CSFs for a successful integration Lean Management (Lean Transformation) in Greek public companies. Also contributes to fill a research gap on the impact of Lean Management in public companies, since the vast majority of research work is focused on the private sector.
Let’s talk about doctoral education. A reflection regarding the changes on it
Authors: Coutinho Isabel Ribau 
Published: December 2021

Doctoral education is the link between research and higher education, being a hybrid area. In this context, the doctoral research project must correspond to the demands of both areas. The PhD. supervisor must be a team leader and, at some time, a doctorate guide, and a teacher. The PhD students must learn how to be a part of the research team, and simultaneously develop their research skills and knowledge. But PhD continues to be an individual and solitary journey, being the justification for it, the originality of knowledge created during the PhD.
In the last years, in Portugal, PhD students and PhD supervisors were auscultated. The supervisors’ rules were captured, doctorate experiences were collected, and supervision processes were analysed and deepened knowledge about doctoral education. But still, this vision is incomplete not only because few supervisors took part in the research (first because the sample population were limited to one Portuguese University (NOVA Lisbon University) and secondly, because most of the PhD supervisors didn´t respond to the surveys.
The data presented in this paper is part of a larger study that started at UNL before the pandemic. It examines the supervisor’s opinion regarding the PhD curriculum, constraints faced in day-to-day supervisor life, changes that may improve doctoral education (completion rates, decrease in attrition, curriculum, team supervision). But he also captures the doctorate perceptions regarding the doctoral research monitorization activities and instruments, constraints, and positive aspects during the PhD journey and, changes to be made in the PhD curriculum.