Significant Role of Trust and Distrust in Social Simulation

This paper introduces the Trust-Distrust Model and its applications, extending the Bounded Confidence Model, a theory of opinion dynamics, to include the relationship between trust and mistrust. In recent years, there has been an increase in the number of cases in which the prerequisites for conventional communication (e.g., the other person’s gender, appearance, tone of voice, etc.) cannot be established without the exchange of personal information. However, in recent years, there has been an increase in the use of personal information, such as letters and pictograms “as cryptographic asset data” for two-way communication. However, there are advantages and disadvantages to using information assets in the form of personalized data, which are excerpts of personal information as described above. In the future, the discussion of trust value in the above data will accelerate in indicators such as personal credit scoring. In this paper, the Trust-Distrust Model will be discussed with respect to theories that also address charismatic people, the effects of advertising, and social divisions. Furthermore, simulations of the Trust-Distrust Model show that 55% agreement is sufficient to build social consensus. By addressing this theory, we hope to use it to discuss and predict social risk in future credit scoring discussions.

PENGARUH NON PERFORMING LOAN, LOAN TO ASSET RATIO DAN INFLASI TERHADAP PROFITABILITAS

Tujuan penelitian ini adalah untuk mengetahui pengaruh Non Performing Loan, Loan to Asset ratio dan Inflasi terhadap Profitabilitas yang diproksi dengan Return on Asset. Data Sekunder dikumpulkan dari sampel perusahaan perbankan yang terdaftar di Bursa Efek Indonesia periode 2014 – 2018.Pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dengan kriteria sebagai berikut : (1) terdaftar di Bursa Efek Indonesia tahun 2014 – 2018. (2) menerbitkan laporan keuangan periode tahun 2014 – 2018. Data yang diperlukan dalam penelitian ini diambil dari Direktori Pasar Modal Indonesia (ICMD) tahun 2014 -2018 dengan jumlah sampel 115 perusahaan.Uji statistik dilakukan dengan uji t dan analisis regresi linier berganda, sebelum uji ini dilakukan terlebih dahulu uji asumsi klasik. Hasil penelitian menunjukkan bahwa: kredit bermasalah berpengaruh negatif signifikan terhadap profitabilitas, hal ini berarti jika suatu bank memiliki nilai Non Performing Loan yang besar maka bank tersebut memiliki banyak kredit bermasalah sehingga laba yang dihasilkan akan menurun dan menyebabkan nilai Return On Assets menurun; loan to asset ratio berpengaruh positif dan tidak signifikan terhadap profitabilitas, dapat disimpulkan bahwa meskipun inflasi mengalami peningkatan, namun keuntungan yang diperoleh bank umum tidak mengalami penurunan yang signifikan dan begitu pula sebaliknya. Perbankan di Indonesia harus menjaga tingkat permodalan (CAR) karena kecukupan modal dapat meningkatkan ROA. Maka sebaiknya meminimalisir kredit macet atau mengurangi nilai kredit bermasalah, karena penurunan kredit bermasalah akan meningkatkan keuntungan yang didapat yaitu ROA.

Sistem Informasi Akuntansi Penyusutan Aktiva Tetap Dengan Metode Garis Lurus Pada SMK Muhammadiyah 1 Weleri berbasis Web

Information technology is a technology used to process data, including processing, obtaining, compiling, storing, manipulating data in various ways to produce relevant, accurate and timely information, which is used for personal, business and government purposes and is strategic information for decision making, in recording fixed assets for example, must be managed properly because the need for the data is frequent intensity, the number of items is not small so it is impossible to memorize, the calculation of depreciation of fixed assets of a company needs to be done at the end of every year because it will affect the book value and depreciation expense on the balance sheet and depreciation expense on fixed assets on the income statement. This depreciation calculation can also be used as a reference in the allocation to purchase new assets if the existing fixed assets can no longer be used. Obstacles in preparing depreciation reports if not resolved immediately will have a bad impact on schools, for example being late in submitting annual tax reports due to the long preparation of depreciation reports will result in schools being fined for being late in reporting the annual corporate tax return. With the accounting information system for depreciation of fixed assets, it is expected that it will facilitate officers in managing fixed asset data and depreciation reports. The new system that will be designed is web-based, so that it can be accessed at any time by interested parties and makes coordination time more effective.

Reinforcement Learning for Options Trading

Reinforcement learning has been applied to various types of financial assets trading, such as stocks, futures, and cryptocurrencies. Options, as a novel kind of derivative, have their characteristics. Because there are too many option contracts for one underlying asset and their price behavior is different. Besides, the validity period of an option contract is relatively short. To apply reinforcement learning to options trading, we propose the options trading reinforcement learning (OTRL) framework. We use options’ underlying asset data to train the reinforcement learning model. Candle data in different time intervals are utilized, respectively. The protective closing strategy is added to the model to prevent unbearable losses. Our experiments demonstrate that the most stable algorithm for obtaining high returns is proximal policy optimization (PPO) with the protective closing strategy. The deep Q network (DQN) can exceed the buy and hold strategy in options trading, as can soft actor critic (SAC). The OTRL framework is verified effectively.

CoDEC: Connected Data For Road Infrastructure Asset Management

Road infrastructure asset management is rapidly transforming into a digital environment where data accessibility, effective integration and collaboration and accessibility from different sources and assets are key. However, current asset management processes are not yet fully integrated or linked, and there are incompatibilities between various systems and platforms that limit the ability to integrate asset management with BIM. The CoDEC project has sought to understand the current status of information management for assets, including inventory, condition and new data sources such as sensors and scanning systems, to identify the challenges and needs for linking and integrating different data sets to support effective asset management. As a result, CoDEC has developed a data dictionary framework to help link/integrate static and dynamic data for the “key” infrastructure assets (road pavements, bridges, tunnels). This will enable BIM and Asset Management Systems (AMS) to exchange data and help optimise and integrate data management across systems and throughout the different asset lifecycle phases, from build to operation. This work will be followed up with three pilot projects to demonstrate the feasibility of integrating asset data from various sources through linked data/semantic web technology to build the connection between AMS and BIM platforms.

Perancangan Sistem Informasi Akuntansi Penghapusan Aset Tetap Pada BPKAD Pemerintah Kota Cimahi

ABSTRACT With the rapid development of technology, the role of information systems is very important. One of the organizations that feel the benefits of an information system is government agencies. The process of deleting fixed assets is still using Microsoft Excel so its performance is still not effective. The problem that arises is when recording assets that will be deleted but the physical condition of the assets does not exist and another problem is that there are still many unrecorded assets for deletion so that employees have to look for asset data and become ineffective. This problem can be solved by designing an information system for the disposal of fixed assets using the waterfall and web-based model, the PHP programming language and MySQL as the database. The method used is the UML (Unified Modelling System) system modelling, namely Activity Diagrams and Use Case Diagram. The design of this information system aims to assist BPKAD employees in handling the asset write-off process and producing the required reports. Abstrak Dengan adanya perkembangan teknologi yang pesat, peran sistem informasi menjadi sangat penting. Salah satu organisasi yang merasakan manfaat adanya sistem informasi yaitu instansi pemerintahan. Proses penghapusan pada aset tetap masih menggunakan Microsoft Excel sehingga kinerjanya masih belum efektif. Masalah yang muncul yaitu ketika pencatatan aset yang akan dilakukan penghapusan tetapi kondisi fisik asetnya tidak ada dan masalah lainnya yaitu masih banyak aset yang tidak tercatat untuk dilakukan penghapusan sehingga para pegawai harus mencari data aset tersebut dan menjadi tidak efektif. Masalah tersebut dapat diatasai dengan merancang sistem informasi penghapusan aset tetap dengan menggunakan model waterfall dan berbasis web, bahasa pemograman PHP dan MySQL sebagai databasenya. Metode yang digunakan yaitu permodelan sistem UML (Unified Modelling Sistem) yaitu Activity Diagram dan Use Case Diagram. Perancangan sistem informasi ini bertujuan untuk membantu pegawai BPKAD dalam menangani proses penghapusan aset dan menghasilkan laporan yang dibutuhkan.

CONTRIBUTION OF STRATEGIC INFORMATION DISTRIBUTION TO THE DECISION MAKING PROCESSES - AN EMPIRICAL

As an organizational asset, data is one of the great sources of competitive advantage of organizations, so that its publication and storageg, aligned with the organizations' strategic and operational metrics, has become a matter of great discussion and concern among decision makers. This study aims to carry out a study about the contributions of the strategic distribution of information to decision-making processes in organizations. The methodology used, of an exploratory qualitative nature, applied the study of multiple cases, through the collection and analysis of data from semi-structured interviews with several employees of organizations that use tools for collecting, processing and disseminating information. The research shows how the information and technologies applied to its treatment collaborate with decision-making processe.

Asset logging in the energy sector: a scalable blockchain-based data platform

Due to a steeply growing number of energy assets, the increasingly decentralized and segmented energy sector fuels the potential for new digital use cases. In this paper, we focus our attention on the application field of asset logging, which addresses the collection, documentation, and usage of relevant asset data for direct or later verification. We identified a number of promising use cases that so far have not been implemented; supposedly due to the lack of a suitable technical infrastructure. Besides the high degree of complexity associated with various stakeholders and the diversity of assets involved, the main challenge we found in asset logging use cases is to guarantee the tamper-resistance and integrity of the stored data while meeting scalability, addressing cost requirements, and protecting sensitive data. Against this backdrop, we present a blockchain-based platform and argue that it can meet all identified requirements. Our proposed technical solution hierarchically aggregates data in Merkle trees and leverages Merkle proofs for the efficient and privacy-preserving verification of data integrity, thereby ensuring scalability even for highly frequent data logging. By connecting all stakeholders and assets involved on the platform through bilateral and authenticated communication channels and adding a blockchain as a shared foundation of trust, we implement a wide range of asset logging use cases and provide the basis for leveraging platform effects in future use cases that build on verifiable data. Along with the technical aspects of our solution, we discuss the challenges of its practical implementation in the energy sector and the next steps for testing in a regulatory sandbox approach.