Pendampingan UMKM Menuju Digitalisasi Marketing Upaya Kebangkitan di Era New Normal

ABSTRAK Pelaksanaan Pengabdian Masyarakat dengan Judul Pendampingan UMKM Menuju Digitalisasi Marketing Upaya Kebangkitan di era new normal (Masyarakat Terdampak Tsunami Anak Gunung Krakatau) di desa Kunjir, Lampung Selatan mempunyai tujuan untuk meningkatkan kompetensi para pelaku UMKM di desa Kunjir Kabupaten Lampung Selatan dalam memanfaatkan teknologi untuk mengembangkan usaha yang mereka miliki agar operasi bisnis relevan dengan perkembangan zaman. Metode pengabdian masyarakat yang digunakan ialah dengan tahapan identifikasi awal (Fase Pra Pendampingan), kemudian dilanjutkan Fase pendampingan (pelatihan dan Pembimbingan) dan yang terakhir ialah Pasca Pendampingan. Berdasarkan pelaksanaan kegiatan pengabdian kepada masyarakat yang telah dilakukan diperoleh hasil bahwa terdapat peningkatan pengetahuan dan keterampilan pelaku UMKM tentang digitalisasi marketing. Kemudian diperoleh data akhir bahwa sebesar 87 % pelaku UMKM di Desa Kunjir Kabupaten Lampung Selatan dapat membuat media pemasaran secara online melalui aplikasi Marketplace di Facebook, Shopee, Bukalapak, dan WhatsApp, namun terdapat 13 % pelaku UMKM belum dapat membuat media pemasaran secara online. Kata Kunci: UMKM; Digitalisasi; Marketing; Lampung Selatan ABSTRACT Implementation of Community Service with the title MSME Assistance Towards Marketing Digitalization Awakening Efforts in the New Normal (Communities Affected by the Tsunami of the Children of Mount Krakatau) in Kunjir village, South Lampung has the aim of increasing the competence of MSME actors in Kunjir village, South Lampung regency in utilizing technology to develop the business they have so that business operations are relevant to the times. The community service method used is the initial identification stage (Pre Mentoring Phase), followed by the Mentoring Phase (training and Guidance), and the last is Post Mentoring. Based on the implementation of community service activities that have been carried out, the results show an increase in the knowledge and skills of MSME actors regarding the digitalization of marketing. Then the final data obtained that 87% of MSME actors in Kunjir Village, South Lampung Regency can create online marketing media through the Marketplace application on Facebook, Shopee, Bukalapak, and WhatsApp, but there are 13% of MSME actors who have not been able to create online marketing media. Keywords: MSM; Digitalization; Marketing; South Lampung

Delta variant of COVID-19: A simple explanation

Severe acute respiratory syndrome coronavirus 2, the virus that causes coronavirus disease (COVID-19), has undergone numerous mutations since its initial identification, leading to challenges in controlling the pandemic. Till date, several variants of concern have been identified. However, currently, the Delta variant (B.1.617.2) is the most dreaded one owing to its enhanced transmissibility and increased virulence. In addition, this variant can potentially facilitate fusion of the spike protein to cells or inhibit antibodies from binding to it. In this commentary, we have simplified the complexity of the nomenclature of variants related to COVID-19, concentrating on the Delta variant including its transmissibility, response to vaccines, and prevention.

The Problems with Troubled Families: Rethinking the Analysis Behind the 120,000 Troubled Families Statistic

In the aftermath of the 2011 England riots, the then Prime Minister David Cameron referred to a ‘small number of families as the source of a large number of problems in society’ (Cameron, 2011). Soon after, the Troubled Families Programme was set up by the government to ‘turn around’ 120,000 troubled families. Despite government rhetoric focusing on ‘neighbours from hell’ (ibid.) the initial estimate of the number of troubled families did not include any indicators of problematic behaviours, such as crime or anti-social behaviour. Instead, a measure previously used by government to classify families with multiple social and economic disadvantages was used (Social Exclusion Task Force, 2007a). This article revisits the research behind the initial identification of the 120,000 troubled families and explores more widely the overlap between families with multiple social and economic disadvantage and their engagement in problematic behaviours. Our reanalysis of the original research data reveals that although families experiencing multiple social and economic disadvantage were at an increased risk of displaying problematic behaviour, only a small minority did so.

The Study of Automatic Picking of P and S Wave Arrival and Identification of Earthquake Sequence Pattern using Scalogram in Obspy (Python)

Initial identification on an earthquake record (seismogram) is something that needs to be done precisely and accurately. Moreover, the discovery of a series of unexpected successive earthquake events has caused unpreparedness for the community and related agencies in tackling these events. Determining the arrival time of the P and S waves becomes an important parameter to finding the location of the earthquake source (hypocenter) as well as further information related to the earthquake event. However, manual steps that are currently often used are considered to be less effective, because it requires a lot of time in the process. Continuous Wavelet Transform (CWT) analysis can be a solution for this problem. With further CWT analysis in the form of a scalogram, can help to determine the arrival time of P and S waves automatically (automatic picking) becomes simpler. In addition, further CWT analysis can also be utilized to help identify the sequence of earthquake events (foreshock, mainshock, aftershock) through the resulting scalogram pattern.

The important role of multifunctional forests in society: a methodology for stands delimitation

Forest planning and management must be conceived in accordance with the circumstances and needs of the moment. Nowadays, the forest does not have a single and exclusive productive use but responds to multiple demands. The stand management method, with a broad approach, is has been recently well adapted to this type of multipurpose management. This study proposes a methodology for delimiting stands which led to manage different uses in forests in protected areas. The methodology consists of six phases: (i) create permanents units (ii) initial identification of forest typologies, (iii) image analysis, (iv) identification of tree types within the forest typology, (v) detailed inventory and (vi) formation of stands. An example is presented for the “Monte Paris” forest, located a few kilometers from Madrid, which combines protective, livestock and recreational use. For the protection use, pruning and thinning will be carried out, for the livestock use, supplementation, meadow sowing and enclosures, and for the recreational use, the design of an environmental center and five ecological trails are proposed. The organization in time and space of the activities planned in the stands allows a correct and satisfactory management of the multiple uses that occur in this forest.

The Addition of Indonesian Prefixes meN- and di- to English Bases: A Corpus-based Study

This paper serves as an initial identification of the addition of Indonesian inflectional prefixes meN- and di- to English bases of any word class through a corpus-based study. With the prevalence of English influence in Indonesian native speakers’ linguistic repertoire, particularly within the scientific and computational domain, there emerges a tendency to resort to the original terms in English than those of the Indonesian equivalences. This phenomenon, addressed as leksikalisasi timpang or unequal lexicalization, refers to the use of words in source language to make up for the lack of corresponding lexicalization in target language. This leads to a linguistic innovation to ‘localize’ English words by adding Indonesian inflectional prefixes such as meN- and di-. Out of 1 million sentence size Web corpus obtained from The Leipzig Corpora Collection, this paper is able to yield approximately 489 (0,21%) combinations of meN- + English bases with 2,813 (0,018%) word tokens and 475 (0,20%) combinations of di- + English bases with 2,377 (0,015%) word tokens. Six allomorphs of meN- are also attested, namely meng-, men-, mem-, me-, menge-, and meny-, with meng-, men-, and mem- as the most used allomorphs by word frequency and type. This investigation backs up the hypothesis that the process of word assimilation leads to nasal sound changes. This paper also observes that there are 13 most used typographic forms shared between the combinations of meN- and di- + English bases, and 7 other forms on a very low frequency. The words observed in this paper’s database are then grouped into three semantic clusters based on their use in context: computer-related (CR), non-computer-related (NCR), and both (NCR/CR), where computer-related words are observed to dominate the database. The findings indicate that this linguistic creativity is the outcome of how familiar Indonesians are with English terms than the official equivalences, especially towards technology and computational vocabulary.

Alpha-Synuclein and Lipids: The Elephant in the Room?

Since the initial identification of alpha-synuclein (α-syn) at the synapse, numerous studies demonstrated that α-syn is a key player in the etiology of Parkinson’s disease (PD) and other synucleinopathies. Recent advances underline interactions between α-syn and lipids that also participate in α-syn misfolding and aggregation. In addition, increasing evidence demonstrates that α-syn plays a major role in different steps of synaptic exocytosis. Thus, we reviewed literature showing (1) the interplay among α-syn, lipids, and lipid membranes; (2) advances of α-syn synaptic functions in exocytosis. These data underscore a fundamental role of α-syn/lipid interplay that also contributes to synaptic defects in PD. The importance of lipids in PD is further highlighted by data showing the impact of α-syn on lipid metabolism, modulation of α-syn levels by lipids, as well as the identification of genetic determinants involved in lipid homeostasis associated with α-syn pathologies. While questions still remain, these recent developments open the way to new therapeutic strategies for PD and related disorders including some based on modulating synaptic functions.

Financial Time Series: Market Analysis Techniques Based on Matrix Profiles †

The Matrix Profile (MP) algorithm has the potential to revolutionise many areas of data analysis. In this article, several applications to financial time series are examined. Several approaches for the identification of similar behaviour patterns (or motifs) are proposed, illustrated, and the results discussed. While the MP is primarily designed for single series analysis, it can also be applied to multi-variate financial series. It still permits the initial identification of time periods with indicatively similar behaviour across individual market sectors and indexes, together with the assessment of wider applications, such as general market behaviour in times of financial crisis. In short, the MP algorithm offers considerable potential for detailed analysis, not only in terms of motif identification in financial time series, but also in terms of exploring the nature of underlying events.

Assessment of serological assays for identifying high titer convalescent plasma

ABSTRACTThe COVID-19 pandemic has been accompanied by the largest mobilization of therapeutic convalescent plasma (CCP) in over a century. Initial identification of high titer units was based on dose-response data using the Ortho VITROS IgG assay. The proliferation of SARS-CoV-2 serological assays and non-uniform application has led to uncertainty about their interrelationships. The purpose of this study was to establish correlations and analogous cutoffs between commercially available serological tests (Ortho, Abbott, Roche), a spike ELISA, and a virus neutralization assay using convalescent plasma from a cohort of 79 donors from April 2020. Relationships relative to FDA-approved cutoffs under the CCP EUA were identified by linear regression and receiver operator characteristic curves. Relative to the Ortho VITROS assay, the r2 of the Abbott, Roche, the anti-Spike ELISA and the neutralizing assay were 0.58, 0.5, 0.82, and 0.44, respectively. The best correlative index for establishing high-titer units was 3.82 S/C for the Abbott, 10.89 COI for the Roche, 1:1,202 for the anti-Spike ELISA, and 1:200 by the neutralization assay. The overall agreement using derived cutoffs compared to the CCP EUA Ortho VITROS cutoff of 9.5 was 92.4% for Abbott, 84.8% for Roche, 87.3% for the anti-S ELISA and 78.5% for the neutralization assay. Assays based on antibodies against the nucleoprotein (Roche, Abbott) and neutralizing antibody tests were positively associated with the Ortho assay, although their ability to distinguish FDA high-titer specimens was imperfect. The resulting relationships help reconcile results from the large body of serological data generated during the COVID-19 pandemic.