PENGARUH KINERJA KEUANGAN TERHADAP PROFITABILITAS BANK BTN SEBELUM DAN SESUDAH SEKURITISASI ASET

ABSTRACTRumah layak huni dan terjangkau bagi PNS (Pegawai Negeri Sipil/ASN) dan masyarakat berpenghasilan rendah (MBR) merupakan permasalahan yang hingga kini belum dapat diatasi secara tuntas. Meskipun berbagai program telah digulirkan pemerintah untuk menyelesaikannya namun jumlah backlog perumahan semakin bertambah (kebutuhan saat ini mencapai 13,5 juta unit , sedangkan pembangunan rumah baru hanya sekitar 300-400 ribu unit per tahun)(Sumber Bappenas & BPS Tahun 2015). Adapun kendala pembiayaan pemerintah melalui APBN sangat terbatas, alokasi anggaran perumahan FLPP (Fasilitas Likuiditas Pembiayaan Perumahan) yaitu Rp 9 T di tahun 2015 atau hanya sekitar 0.375% dari APBN 2400 T (atau kurang dari ½ %). Untuk itu , Bank BTN ditunjuk sebagai Bank Penyalur program kredit perumahan rakyat (KPR-Bersubsidi FLPP) oleh Pemerintah , hasil kinerja keuangan Bank BTN sebelum dan sesudah sekuritisasi asset akan dikaji lebih lanjut, sekaligus dapat memberikan masukan kepada seluruh stakeholders agar solusi backlog dan pembiayaan perumahan dapat memberi kontribusi mengatasi permasalahan perumahan.

Proton-proton, anti-proton-anti-proton, proton-anti-proton correlations in Au + Au collisions measured by STAR at RHIC

The analysis of two-particle correlations provides a powerful tool to study the properties of hot and dense matter created in heavy-ion collisions at ultra-relativistic energies. Applied to identical and non-identical hadron pairs, it makes the study of space-time evolution of the source in femtoscopic scale possible. Baryon femtoscopy allows extraction of the radii of produced sources which can be compared to those deduced from identical pion studies, providing complete information about the source characteristics. In this paper we present the correlation functions obtained for identical and non-identical baryon pairs of protons and anti-protons. The data were collected recently in Au+Au collisions at $\sqrt{s_{NN}}$ =62 GeV and $\sqrt{s_{NN}}$ =200 GeV by the STAR detector at the RHIC accelerator. We introduce corrections to the baryon-baryon correlations taking into account: residual correlations from weak decays, particle identification probability and the fraction of primary baryons. Finally we compare our results to theoretical prediction

Entrepreneurship in the Wine Industry. A matter of Risk and Reward

This thesis concerns two lines of research that can be considered relevant for wine SMEs located in Italy.The first one concentrates on the moderating role of agglomeration and network and the relationship between Entrepreneurial Orientation (EO) and firms performance. The second line proposes a framework to compare the web quality to costumers\u2019 perceptions and preference

Pengaruh Harga Nikel, PDB, Inflasi, Kurs, FDI Terhadap Harga Saham Perusahaan Tambang Nikel Menggunakan Larangan Ekspor Bijih Nikel Sebagai Moderasi Periode 2009 – 2023

Tujuan dari penelitian ini adalah untuk menyelidiki pengaruh harga nikel,PDB, Inflasi, Kurs,FDI terhadap harga saham perusahaan tambang nikel menggunakan larangan ekspor bijih nikel sebagai moderasi. Penelitian ini menggunakan pendekatan model regresi data Panel EGLS (Cross-section weights) untuk mengetahui pengaruh  variabel independen terhadap variabel dependen secara parsial maupun simultan serta pengaruh interaksi varibel moderasi dengan variabel independen terhadap varibel dependen. Sampel yang diambil adalah perusahaan tambang nikel yang terdaftar di BEI selama periode 2009-2023. Hasil penelitian menunjukkan bahwa secara parsial harga nikel, interaksi PDB dengan larangan ekpor bijih nikel  memiliki pengaruh signifikan positif terhadap harga saham. Sedangkan interaksi kurs tengah dengan larangan ekspor bijih nikel memiliki pengaruh signifikan negatif. Variabel independen lainya seperti PDB, Inflasi, Kurs dan FDI tidak berpengaruh signifikan. F-statistik 143,7439 dengan probabilitas yang sangat kecil (p-value = 0.000000) menunjukkan bahwa model regresi secara keseluruhan berpengaruh signifikan. Nilai  0,878625 dengan Adjusted : 0,872512 maka sekumpulan variabel independen mampu menjelaskan variabel dependen sebesar 87,25%. Hasil penelitian yang menunjukkan pengaruh signifikan harga nikel terhadap harga saham perusahaan tambang nikel dapat digunakan oleh pemerintah untuk memperkuat kebijakan hilirisasi, peningkatan market share Indonesia dalam perdagangan nikel internasional serta pengelolaan resiko mengurangi fluktuasi harga nikel. Investor juga dapat memahami bahwa harga nikel merupakan faktor utama yang mempengaruhi harga saham perusahaan tambang nikel dan menggunakan informasi ini untuk strategi investasi mereka. Perusahaan tambang nikel dapat menggunakan hasil penelitian ini untuk mengembangkan strategi operasional yang lebih baik. Penelitian ini menggunakan tiga variabel independen yang berbeda yaitu Inflasi, Kurs, FDI serta peiode dan sampel penelitian yang berbeda. Metode analisis adalah regresi data panel Fixed Effect Model cross section weight dengan robust coefficient covariance cross section SUR (PCSE). &nbsp

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation

In recent years, there has been growing interest in text-to-SQL translation, which is the task of converting natural language questions into executable SQL queries. This technology is important for its potential to democratize data extraction from databases. However, some of its key hurdles include domain generalisation, which is the ability to adapt to previously unseen databases, and alignment of natural language questions with the corresponding SQL queries. To overcome these challenges, we introduce SQLformer, a novel Transformer architecture specifically crafted to perform text-to-SQL translation tasks. Our model predicts SQL queries as abstract syntax trees (ASTs) in an autoregressive way, incorporating structural inductive bias in the encoder and decoder layers. This bias, guided by database table and column selection, aids the decoder in generating SQL query ASTs represented as graphs in a Breadth-First Search canonical order. Comprehensive experiments illustrate the state-of-the-art performance of SQLformer in the challenging text-to-SQL Spider benchmark. Our implementation is available at https://github.com/AdrianBZG/SQLformerComment: 11 pages, 4 figure

Unsupervised Fact Verification by Language Model Distillation

Unsupervised fact verification aims to verify a claim using evidence from a trustworthy knowledge base without any kind of data annotation. To address this challenge, algorithms must produce features for every claim that are both semantically meaningful, and compact enough to find a semantic alignment with the source information. In contrast to previous work, which tackled the alignment problem by learning over annotated corpora of claims and their corresponding labels, we propose SFAVEL (Self-supervised Fact Verification via Language Model Distillation), a novel unsupervised framework that leverages pre-trained language models to distil self-supervised features into high-quality claim-fact alignments without the need for annotations. This is enabled by a novel contrastive loss function that encourages features to attain high-quality claim and evidence alignments whilst preserving the semantic relationships across the corpora. Notably, we present results that achieve a new state-of-the-art on the standard FEVER fact verification benchmark (+8% accuracy) with linear evaluation

Motivations, perceived risk and behavioural intentions in hard adventure tourism. A natural park case study1

Purpose of the paper: This study on consumer behaviour intends to combine two lines of investigation. First, we examine how different motivation factors in adventure tourism affect behavioural intentions. Secondly, in order to provide a better understanding of behavioural intentions we further explore the differences between the groups of individuals\u2019 subjective perception of risk. Design/methodology/approach: A visitor survey was conducted on a sample of hard adventure tourists at the Friuli Dolomiti Alps Natural Park. Factor analysis of motivational items resulted in four dimensions (i.e. nature, risk, contemplation and socialization). In order to discover a relationship between the four motivational factors and the adventure tourists\u2019 behavioural intention, a stepwise regression analysis was conducted. Then, using ANOVA and post hoc analysis (Scheffe\u2019s test), the existing differences between various levels of risk perception of adventure tourists and their response to behavioural intentions were analysed. Findings: The analysis of motivational factors indicates that \u201cactivity related motivations\u201d include four dimensions: nature, risk, contemplation and socialization. The stepwise regression results show that nature is the only motivational factor that affects tourists\u2019 behavioural intention. Originality/value: This paper shows that \u201cnature\u201d is the key motivational factor for adventure tourists to revisit a park. Practical implications: The analysis provides a framework suggesting how organizations might usefully implement a marketing strategy. This study encompasses the risk perception as a motivational factor and tries to discuss how this concept can be operationalized in tourism marketing. Limitations: This paper presents two main limitations. Firstly, the cross sectional nature of the data, and secondly, the hypotheses were tested using a sample from a limited area