bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peran Balai Latihan Kerja Samarinda Mengurangi Tingkat Pengangguran Pada Masa Pandemi Covid-19 dalam Perspektif Ekonomi Islam
Authors: Kartiasari Ratna , Iswanto Bambang , Yuliani Irma , Parlina Tika 
Published: July 2023

Abstract

Currently, the unemployment rate has increased due to an outbreak of the Covid-19 virus that has attacked the whole world, including Indonesia. The number of unemployment that occurs in each region, it is the responsibility of the government and society to immediately tackle the number of unemployment that occurs. This research is a qualitative type of research using a descriptive qualitative approach. The source of the data used is primary data obtained from interviews with BLK Samarinda. The technique used in data collection is by using observation, interview, and documentation techniques. The results obtained from this study indicate that the training programs carried out during the pandemic there were 13 vocational training programs running well and effectively. The role of the Samarinda Cooperation Training Center in assisting the government in unemployment is by providing facilities to training participants in the form of facilities, infrastructure and training programs during free training. The obstacle faced during the training was the delay in the implementation of OJT due to the Covid-19 pandemic so that the solution was not required to implement OJT. The view of Islamic Economics on the role of the Samarinda Cooperation Training Center in reducing unemployment is in accordance with the principles of Islamic Economics, namely Kafa'ah, Himmatul-amal and Amanah.
Keywords: Islamic Economics, The Role of the Job Training Center, Unemployment.
PENGARUH NILAI TUKAR RUPIAH DAN BI 7 DAYS REPO RATE TERHADAP INDEKS SAHAM SYARIAH INDONESIA (PERIODE 2016-2019)
Authors: Khairulanam Panji Ahmad , Parno Parno , Pratiwi Angrum , Parlina Tika 
Published: July 2023

This study has the background that the capital market has an important role in the economy of a country because the capital market performs two functions, namely as a means for business funding or as a means for companies to obtain funds from the investor community. Second, the two capital markets become a means for people to invest in financial instruments such as stocks, bonds, mutual funds and so on. Thus the community can place funds in accordance with the profit and risk characteristics of each instrument.there are several macroeconomic and monetary factors that can affect stock movements such as the rupiah exchange rate and BI 7 days repo rate.
This study aims to determine the effect of the Rupiah and BI 7 Days Repo Rate on the Indonesian sharia stock indekx in the (2016-2019 Period) partially or simultaneously. The research method used in this study is a quantitative method. The object of this research is a statistical report on Indonesian Islamic stock indexes operating in Indonesia and registered in sharia capital market statistics issued by the Financial Services Authority and obtained from the official website of Bank Indonesia (BI). The analytical method used in this study is multiple regression analysis.
The results of this study indicate that partially the rupiah exchange rate has a significant positive effect on the Indonesian Islamic stock index and the BI 7 days repo rate has a significant negative effect on the Indonesian Islamic stock index. While simultaneously the rupiah exchange rate variable and the BI 7 days repo rate have a significant positive effect on the Indonesian sharia stock index.
Dampak Pandemi Covid-19 terhadap pedagang muslim pasar tradisional (studi kasus Pasar Rudina Kecamatan Muara Jawa)
Authors: Zailani Muhammad Abdul Qodir , Iswadi Muhammad , Yusran Yusran , Rahmatullah Nur 
Published: July 2023

ABSTRACT
Penelitian ini dilatarbelakangi oleh adanya pandemi Covid-19 yang telah melanda seluruh wilayah di berbagai belahan dunia, termasuk Indonesia. Covid-19 adalah virus yang berasal dari kota wuhan, china. Virus ini merupakan virus jenis baru yaitu SARS-CoV-2 yang penyakitnya disebut COVID-19 (Coronavirus disease 2019). Penyebaran virus yang saat ini dikategorikan sebagai pandemi telah menimbulkan permasalahan sosial, kesehatan dan ekonomi khususnya bagi masyarakat luas di seluruh tanah air, salah satunya beberapa pedagang muslim di Pasar Rudina Kecamatan Muara Jawa Kabupaten Kutai Kartanegara. Pasar Rudina yang biasanya selalu ramai pembeli, namun karena adanya pandemi Covid-19 mayoritas pembeli mengalami penurunan, hal ini mengakibatkan penurunan jumlah pendapatan bagi para pedagang. Penelitian ini dilakukan dengan tujuan untuk mengetahui apa saja dampak pandemi Covid-19 bagi para pedagang muslim di pasar Rudina Muara Jawa dan bagaimana upaya mereka mengatasi dampak pandemi Covid-19. metode pendekatan, jenis penelitiannya adalah penelitian studi kasus (case study) dengan pendekatan deskriptif. Teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. Teknik analisis data adalah analisis sebelum lapangan dan analisis data di lapangan dengan tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Uji validitas data menggunakan triangulasi waktu. Hasil penelitian menunjukkan bahwa pandemi COVID-19 berdampak pada pedagang, antara lain daya tarik pembeli menurun dan pendapatan barang dagangannya otomatis berkurang. Di balik dampak negatif tersebut, terdapat beberapa dampak positif selama adanya pandemi antara lain berkumpulnya seluruh keluarga di rumah, meningkatkan kesadaran akan kebersihan, dan menghemat pengeluaran. Beberapa upaya para pedagang untuk mengatasi dampak pandemi Covid-19 yaitu dengan meminta anggota keluarga membantu pekerjaan, serta menambah jam kerja, mengurangi persediaan barang dagangan, menjalin hubungan baik dengan pembeli dan melakukan bisnis sampingan online melalui media sosial.
Pengaruh Daya Tarik Iklan, Persepsi Harga dan Kualitas Produk Terhadap Minat Beli E-Commerce Tokopedia (Studi Kasus Generasi Muslim Millenial di Samarinda)
Authors: Sari Febri Wulan , Nurzaroni Akhmad , Fadhilah Nurul 
Published: July 2023

Abstrack
This research is motivated by the development of E-Commerce in Indonesia is very high because of the tendency of today's people who want easy, fast and practical so that it triggers the growth of the E-Commerce business. To attract consumer buying interest requires a strategy, namely the attractiveness of advertisements to provide complete information. Perception of price to decide consumers to buy in terms of the price of the product that will be received. Product quality is a deep factor that can indicate whether a product has value or not in a consumer's view. This study aims to determine whether the attractiveness of advertising, price perception and product quality affect the purchase intention of Tokopedia e-commerce in Samarinda.
The type of research used in this research is quantitative research with an associative approach. This study uses primary data from a questionnaire or questionnaire. The number of samples in this study were 100 respondents from the millennial Muslim generation with a sampling technique, namely the non-probability sampling technique with the purposive sampling method. The analysis technique used is multiple linear regression test consisting of T test, F test, coefficient of determination with SPSS 21 management tool.
The results of this study indicate that partially the advertising attractiveness variable has no significant effect on buying interest, besides the price perception variable (X2) has a significant effect on buying interest (Y), and the product quality variable (X3) has a significant effect on buying interest (Y). Then from the calculation results of the simultaneous test of advertising attractiveness, price perception and product quality have a simultaneous effect on the interest in buying e-commerce Tokopedia in Samarinda.
Keywords: Advertising Attractiveness, Price Perception, Product Quality, Purchase Interest.
Strategi Promosi Periklanan Di Media Sosial Dalam Meningkatkan Pendapatan Client PT. Borneo Digital Marketing Ditinjau Dari Perspektif Ekonomi Islam
Authors: Fitriyah Nur , Darmawati Darmawati , Parlina Tika 
Published: July 2023

Abstract
The background discusses in the current digital era, many business people are competing to market their products or services online through social media networks by advertising. Therefore, promotion strategies through social media are indispensable, both for large and small businesses. The purpose of this study was to determine the advertising promotion strategy on social media carried out by PT. Borneo Digital Marketing in increasing client income of PT. Borneo Digital Marketing and knowing the picture of the sharia economy about advertising promotion strategies on social media in increasing the income of PT. Kalimantan Digital Marketing. This study uses field research to explore data sourced from the research location and is descriptive qualitative, namely research that aims to obtain a complete picture of something being researched. Sources of data are 38 sources from interviews conducted with the CEO, 7 employees and 30 clients of PT. Kalimantan Digital Marketing. Data collection techniques are interviews, observation and documentation. The data analysis technique uses the method according to Miles And Huberman, namely data collection, data reduction, data presentation and data verification. The results of the research are advertising promotion strategies on social media used by PT. Borneo Digital Marketing, namely four specific advertising promotion strategies such as paid media vs organic media strategies, performance strategies, intent strategies, and marketing channel strategies. Judging from the tables and graphs of client income, the four special promotion strategies have been able to increase client income of PT. Borneo Digital Marketing. Islamic economics review of advertising promotion strategies on social media used by PT. Borneo Digital Marketing applies Islamic economic principles such as Tawhid, Morals: Shidiq (true and honest), Tablig (speaking truth), Amanah (trustworthy) and Fathanah (intelligent), Balance, individual freedom and justice.
Keywords: Promotion Strategy, Advertising, Social Media, Income, Islamic Economic Perspective
Strategi Bauran Pemasaran Syariah (Studi Kasus Sayuran Hidroponik Hani Farm Samarinda)
Authors: Efendi Muhammad Irfan Zainal , Darmawati Darmawati , Chandra Alias 
Published: July 2023

The 7P marketing mix strategy is a combination of product, price, promotion, place, people, physical evidence, and process. In each mix has a role to succeed in marketing achievements. In every important marketing mix strategy implemented based on sharia marketing. Hani Farm was founded in 2019 and is a producer of hydroponic vegetables that are cultivated and managed by Islamic boarding schools where students play an active role. Hani Farm was also identified as using a marketing mix strategy, with increased turnover even though there was a decrease when PPKM occurred so it is important to study the marketing mix strategy of Hani Farm Samarinda from a sharia marketing perspective.
The research method is qualitative research. Data collection techniques through observation, interviews, and documentation. Data analysis techniques are data reduction, data presentation, then drawing conclusions. Based on the results of Hani Farm Samarinda's marketing mix research from a sharia marketing perspective; Hani Farm's products are vegetables and vegetable delivery services. The price of vegetable products is determined based on market prices and service product tariffs using the average rate in one area of ​​Samarinda City. Promotion is done by sales promotion, publicity, and personal selling. The place is located at the KH Harun Nafsi Islamic boarding school which has easy access to consumers. Human resources are equipped with knowledge and coaching and are supervised by field coordinators at work. The process is carried out following standard rules and the ordering process is made easy to understand and work on. In the marketing mix strategy, Hani Farm has carried it out with sharia marketing values, namely shiddiq, amanah, fathanahtabligh and. As well as the principles of sharia marketing, namely strategy, needs, halal, welfare, and mutual agreement. And the characteristics of sharia marketing are theistic, ethical, realistic, and humanistic.
Pengaruh Beauty Vlogger, Iklan Dan Harga Terhadap Keputusan Pembelian Produk Kosmetik Scarlett Whitening Pada Masyarakat Di Kalimantan Timur
Authors: Fitriah Fitriah , Yuliani Irma , Parlina Tika 
Published: July 2023

ABSTRACT
Fitriah, 2023. "The Influence of Beauty Vloggers, Advertising, and Prices on the Decision to Purchase Scarlett Whitening Cosmetic Products in Communities in East Kalimantan". Thesis, Department of Islamic Economics, Faculty of Islamic Economics and Business, State Islamic University of Sultan Aji Muhammad Idris Samarinda. This research was supervised by Mrs. Irma Yuliani S.E, M.Sc as supervisor 1 and Mrs. Tika Parlina, M.M. as supervisor 2.
The background of this research is that there was cosmetic product brands are increasingly developing with different variants and brands in each beauty company. Many beauty vlogger reviews explain the advantages and disadvantages of a product, the many advertisements that can attract consumers' attention through the models in the advertisement, and the prices that are already listed on a product to influence consumer purchasing decisions. This study aims to find the influence of beauty vloggers, advertising, and prices on purchasing decisions of Scarlett's cosmetic products from the perspective of Islamic economics in the people of East Kalimantan partially and simultaneously.
The research method used in this study was a quantitative method to find the effect of the independent variables on the dependent variable. The sample in this study amounted to 96 respondents and the researchers rounded up to 100 respondents who were taken using the Cochran formula. Data analysis techniques in this study used data instrument tests (validity and reliability tests), classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, linearity test, autocorrelation test), multiple linear regression analysis, and hypothesis testing (t-test, test f, test the coefficient of determination).
The results obtained from this study was that beauty vlogger has a positive and significant effect with a Tcount of 2.830 > Ttable 1.98498 with a significance of 0.006 <0.05, advertising has a positive and significant effect with a Tcount of 3.811 > Ttable 1.98498 with a significance of 0.000 <0.05, while the price has no effect with Tcount of 1.724 <Ttable 1.98498 with a significance of 0.088 > 0.05 on the decision to purchase scarlett whitening cosmetic products in people in East Kalimantan.
Legalization of Informal Hibah and Wasiat through Isbat Hibah and Wasiat in Religious Courts
Authors: Hidayat Rahmat , Aseri Akh Fauzi , Hanafiah M 
Published: July 2023

Abstract
Based on the Religious Judiciary Annual Report in 2020, there have been many lawsuits for hibah and wasiat in the religious courts due to informal hibah and wasiat. On the other hand, there are no rules governing the religious courts' authority in legalizing the practice of informal hibah and wasiat. This study initiated the discourse on the legalization of informal hibah and wasiat through isbat hibah and wasiat in the religious courts. Hence, what are isbat hibah and wasiat and their legal basis as a renewal of the religious courts' authority in Indonesia? This study is normative legal research in which legal norms in statutory regulations are examined as research objects. This study's results indicate that informal hibah and wasiat still occur in society, which raises social problems such as conflicts between recipients of informal hibah and wasiat and the heirs of informal hibah and wasiat. These social problems occur when the giver or recipient of informal hibah or wasiat passes away. Meanwhile, the subject or object of the related hibah and wasiat does not yet have a formal foundation. Legal problems related to informal hibah and wasiat lead to legality issues due to the absence of authentic evidence showing that the subject or related object has given or received a certain hibah or wasiat. Even though every legal action must be carried out legally and formally, The concept of isbat hibah and wasiat under the authority of religious courts aims to achieve the certainty, fairness, and legal benefits of informal hibah and wasiat.

Keywords: Legalization, informal hibah and wasiat, isbat, Indonesia Religious Courts.
Outsized Turbidity Currents as a Primary Mechanism for Neoproterozoic Organic Carbon Delivery to the Deep Sea
Authors: Cunningham Celeste M. , Arnott R. William C. 
Published: July 2023

Levees in modern deep-marine systems have been shown to sequester significant amounts of organic carbon due largely to their expanse and high rates of sedimentation. However, relatively few studies have examined organic carbon sequestration in ancient deep-marine leveed slope channel systems. Physical and geochemical analyses of well-exposed levee deposits in the Neoproterozoic Windermere Supergroup in B.C., Canada have shown that intervals of organic-rich (up to 4% TOC) strata correlate with conditions of elevated sea level and primary productivity on the shelf. Organic matter (OM) occurs primarily as micro- to nano-scale carbon adsorbed onto the surface of clay grains and notably occurs mostly in anomalously thick, mud-rich sandstone beds that are interspersed within successions of thin-bedded, comparatively organic-poor turbidites. The concentration of organic carbon in thick beds suggests that even when primary productivity is high it only becomes mobilized in significant quantities into the deep sea by uncommon, outsized turbidity currents. Although markedly more common in organic-rich intervals, thick, organic-rich beds occur also in organic-poor levee deposits, suggesting that the occurrence and frequency of outsized flows may be linked to primary productivity on the shelf. High rates of OM production and fallout would result in rapid accumulation of OM on the seafloor that then binds and provides mechanical strength to the accumulating sediment. Later this overthickened, organic-rich sediment pile becomes gravitationally unstable and ultimately remobilized downslope. These failure events create large, surge-like flows that are considerably thicker than the depth of the slope channels through which they travel. Accordingly, continuous overspill over the channel margins results in the deposition of an anomalously thick, sand- and organic-rich bed. These episodic events not only deplete the outer continental shelf of OM, but apparently also reduces the gradient slope of the local seabed, which then results in the more typical smaller, channel-confined organic-poor turbidity currents. Additionally, the abrupt and single-bed occurrence of OM-rich strata suggests that the buildup of organic-rich strata and seafloor stabilization was rapid but only of limited duration. Significantly, this study suggests that outsized turbidity currents that originate on the outer continental shelf are the primary mechanism for organic matter delivery to the deep sea, at least in pre-vegetation times, and that flow size and frequency, in addition to primary productivity, exerts an important control on the distribution of organic carbon in deep-sea sediments.
An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging With Distributed Pressure and Temperature Measurements
Authors: Nagao Masahiro , Yao Changqing , Onishi Tsubasa , Chen Hongquan , Datta-Gupta Akhil 
Published: July 2023

Summary
Geologic carbon dioxide (CO2) sequestration has received significant attention from the scientific community as a response to global warming due to greenhouse gas emissions. Effective monitoring of CO2 plume is critical to CO2 storage safety throughout the life cycle of a geologic CO2 sequestration project. Although simulation-based techniques such as history matching can be used for predicting the evolution of underground CO2 saturation, the computational cost of high-fidelity simulations can be prohibitive. Recent development in data-driven models can provide a viable alternative for rapid CO2 plume imaging. Here, we present a novel deep learning–based workflow that can efficiently visualize CO2 plume in near real time.
Our deep learning framework utilizes field measurements, such as downhole pressure, distributed pressure, and temperature, as input to visualize the subsurface CO2 plume images. However, the high output dimension of CO2 plume images makes the training inefficient. We address this challenge in two ways: First, we output a single CO2 onset time map rather than multiple saturation maps at different times; second, we apply an autoencoder-decoder network to identify lower-dimensional latent variables that compress high-dimensional output images. The “onset time” is the calendar time when the CO2 saturation at a given location exceeds a specified threshold value. In our approach, a deep learning–based regression model is trained to predict latent variables of the autoencoder-decoder network. Subsequently, the latent variables are used as inputs of the trained decoder network to generate the 3D onset time image, visualizing the evolving CO2 plume in near real time.
The power and efficacy of our approach are demonstrated using both synthetic and field-scale applications. We first validate the deep learning–based CO2 plume imaging workflow using a 2D synthetic example. Next, the visualization workflow is applied to a 3D field-scale reservoir to demonstrate the robustness and efficiency of the workflow. The monitoring data set consists of distributed temperature sensing (DTS) data acquired at a monitoring well, flowing bottomhole pressure (BHP) data at the injection well, and time-lapse pressure measurements at several locations along the monitoring well. Our approach is also extended to efficiently evaluate the uncertainty of predicted CO2 plume images. Additionally, an efficient workflow for optimizing data acquisition and measurement type is demonstrated using our deep learning–based framework.
The novelty of this work is the development and application of a unique and efficient deep learning–based subsurface visualization workflow for the spatial and temporal migration of the CO2 plume. The efficiency and flexibility of the data-driven workflow make our approach suitable for field-scale applications.