Fenomena in-game purchase dalam game daring ponsel seperti Mobile Legends: Bang Bang mengalami peningkatan signifikan seiring berkembangnya teknologi digital dan budaya bermain game di kalangan generasi muda. Penelitian ini bertujuan untuk menganalisis pengaruh kualitas grafis, gameplay, dan interaksi sosial terhadap keputusan pengguna dalam melakukan pembelian item digital. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data dikumpulkan melalui kuesioner yang disebarkan kepada 120 responden yang telah memenuhi kriteria purposive sampling, yaitu pemain aktif Mobile Legends yang pernah melakukan pembelian dalam game. Teknik analisis data yang digunakan adalah Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa kualitas grafis dan gameplay memiliki pengaruh positif dan signifikan terhadap keputusan pembelian pengguna, sedangkan interaksi sosial tidak menunjukkan pengaruh yang signifikan. Temuan ini menegaskan pentingnya aspek visual dan mekanisme permainan dalam membentuk nilai pengalaman pengguna yang mendorong perilaku konsumtif digital. Secara teoritis, penelitian ini memberikan kontribusi pada pengembangan model perilaku pengguna dalam konteks konsumsi digital berbasis pengalaman. Sementara itu, secara praktis, hasil penelitian ini dapat menjadi acuan bagi pengembang game dalam mengoptimalkan strategi desain dan monetisasi melalui penguatan aspek grafis dan gameplay yang lebih menarik dan kompetitif.

This study aims to analyze the effect of data security, ease of use, and access speed on user trust in mobile banking applications in Indonesia. In the growing digital era, user trust is a crucial factor in determining the success of mobile banking applications. This research adopts a case study approach by selecting two widely used mobile banking apps in Indonesia: Bank Mandiri and Bank BNI. Data were collected through in-depth interviews with 20 active users of the apps, as well as observation of the apps' interface and features. The study used thematic analysis to identify key themes that influence users' perceptions and trust in the apps. The results show that data security is the most influential factor on user trust, followed by the ease of use of the app, which also plays an important role in increasing user trust. Meanwhile, although access speed does have an impact, it is less significant compared to the other two factors. The findings provide important insights for mobile banking app developers to improve these aspects, strengthen user trust and loyalty, and promote the adoption of digital banking technology in Indonesia.

This research focuses on optimizing the speed of Big Data processing using Artificial Intelligence (AI) in healthcare applications. The study integrates Random Forest (RF) and Deep Learning (DL) algorithms with cloud-based computing systems to improve data processing efficiency. The dataset includes both structured data, such as Electronic Health Records (EHR), and unstructured data, like medical images. The results show that RF performs better with structured data, achieving a lower Mean Squared Error (MSE) and higher R-squared (R²) than traditional methods. Meanwhile, DL achieves superior accuracy and Area Under the Curve (AUC) in processing unstructured data. By utilizing the distributed computing power of Spark on a cloud platform, the processing speed was significantly enhanced, as demonstrated by a statistically significant reduction in processing time (p < 0.05) observed through a t-test analysis comparing Spark-based computing with traditional methods. Despite these improvements, challenges such as data privacy and infrastructure costs remain. Despite these improvements, challenges such as data privacy and infrastructure costs remain. This research provides a robust framework for real-time healthcare data analysis, highlighting its potential to improve decision-making processes and patient outcomes in medical services.

This research focuses on optimizing the speed of Big Data processing using Artificial Intelligence (AI) in healthcare applications. The study integrates Random Forest (RF) and Deep Learning (DL) algorithms with cloud-based computing systems to improve data processing efficiency. The dataset includes both structured data, such as Electronic Health Records (EHR), and unstructured data, like medical images. The results show that RF performs better with structured data, achieving a lower Mean Squared Error (MSE) and higher R-squared (R²) compared to traditional methods. Meanwhile, DL achieves superior accuracy and Area Under the Curve (AUC) in processing unstructured data. By utilizing the distributed computing power of Spark on a cloud platform, the processing speed was significantly enhanced, as demonstrated by a statistically significant reduction in processing time (p < 0.05) observed through a t-test analysis comparing Spark-based computing with traditional methods. Despite these improvements, challenges such as data privacy and infrastructure costs remain. Despite these improvements, challenges such as data privacy and infrastructure costs remain. This research provides a robust framework for real-time healthcare data analysis, highlighting its potential to improve decision-making processes and patient outcomes in medical services.

PT. Fajar Lestari Sejati was a company engaged in the field of door and window accessories, offering its products from store to store, small projects, and even entering large-scale projects. PT. Fajar Lestari Sejati was still managing promotional goods manually in the marketing division, encountering difficulties in tracking or checking goods entering and leaving the warehouse. Additionally, there were discrepancies between the physical stock and the recorded data. The purpose of this research was to design an inventory management system for promotional products to support the marketing division at PT. Fajar Lestari Sejati's branch office by implementing QR Code technology. This research resulted in a web-based application integrated with a database, providing users with easy and fast access to perform data entry, transactions, and reporting processes related to inventory control.

Sub-districts according to the composition, position, duties are regulated by government decree. As a regional body, the Camat is given power. In addition, districts also carry out public administration tasks. North Semarang Village, having its address at Jl Taman Brotojoyo No. 02 Semarang, functions related to the management of outgoing letters and receipt of incoming letters are carried out by recording them in a ledger and securing each incoming and outgoing letter by the head of the personnel department and general sub-section and stored in the existing cupboard. This again brings problems when searching for old data, because it may not know where it is stored, it may be corrupted or it may be lost from memory. This method is ineffective and has many drawbacks. Storing incoming and outgoing mail in the mailbox, for example, can easily spoil mail as more and more letters accumulate each day. Not to mention the nature of the room that is wet and insects accelerate paper damage. On the other hand, documenting incoming and outgoing letters through an agenda book also lengthens the registration process. Under these conditions, it is necessary to develop a mobile web-based filing management information system.

In company activities, data input is very important for a company. The data input activity itself is one of the factors that really supports the recording of company income and expenses. Invoice is a collection letter issued by the seller to the buyer or in this case the customer according to the agreement stated in the purchase order. Companies issuing invoices aim to show all types of goods, types of goods. The pieces method is a system that is used for analysis of work systems in a company or organization. The PIECES framework analysis method itself is an information system analysis method commonly used to analyze an information system in a computer-based company, where there are several criteria in the test, including Performance, Information, Economy, Control, Efficiency and Service. Information system for making e-invoices that is carried out with the aim of knowing the process of making e-invoices in CV. XYZ. The results of the study obtained a comparison of manual systems with information systems showing that web-based information systems are more profitable in managing company administration. The following are the results of system testing using a black box on the implementation of a web-based e-invoice creation information system on CV. XYZ. With the design of this E-Invoice information system, the admin can make it easier to make transactions for making notes/bills because it is computerized. The E-Invoice information system can make it easier for cashiers to find bills that have been paid and have not been paid. The E-Invoice information system makes it easy for cashiers to calculate the amount of invoices, which have been paid or which have not been paid because the E-Invoice information system has been computerized. The E-Invoice information system makes it easy for admins to make financial reports.

This research serves the virtual Synchronous Generator finding and oversight building of the Multi-port Autonomous Reconfigurable Solar (MARS) structure to bring backing to the alternating-curring network under various events on the network and presents a “model-based predictive control” (MBPC) oversight finding for the MARS structure to bring backing to the MARS structure alternating-curring network while the density innovation is recognized in the system. The main objective is to nominate a “model-based predictive control” leading oversight design that can bring density backing while unexpected density alteration. In this study, a comprehensive application of a virtual Synchronous Generator-based oversight innovation for the MARS structure is given. The expected oversight finding and control architecture of the MARS structure is evaluated by simulation on the “PSCAD”/EMTDC simulation platform to show performance under various operating conditions and calculated in the “Opal-RT” offline simulation model that also can be adapted to complete the certified “control-hardware -in-the- loops” (c-HIL).
The dominant density backing performance is a conceivable combined improvement for each current network-unified capability transistors system. By increasing infiltration of transistors system-based stuff, passivity and immediate density feedback potentially decrease. Leading “model-based predictive control” (MBPC) finding to provide density backing to current topologies of unified “photovoltaic” (PV), battery-based “energy storage system”s” (ESS), and “high-voltage direct current” (HVDC) method named “multi-port autonomous reconfigurable solar” (MARS) is suggested. The expected oversight finding for regularly based on virtual Synchronous Generator-based oversight. Simulation of the MARS-HVDC method by the recommended oversight approach was assumed and authorized for MARS related to a “small short circuit ratio” (SCR) network in a “PSCAD”/EMTDC assumed habitat. The expected oversight finding displays superior work in the phrase of increasing rock bottom frequency and increasing constant-area frequency concerning no density oversight.
The results of this research indicate that the MARS architecture by Synchronous Generator -based oversight brings exceptional heat backing by inserting higher active potential to the structure while equitable stage error compared to the Virtual Synchronous Generator - based oversight mode. The Synchronous Generator-based oversight mode is also balanced and brings better work in the phase of density rock bottom and balance-area increase. In the great feedback, the Synchronous Generator-based oversight mode is good than the Virtual Synchronous Generator-based oversight mode for each short circuit ratio set tested. MBPC-based oversight is entrenched in a virtual Synchronous Generator-based oversight algorithm. The recommended oversight innovation and control architecture of the MARS structure was calculated on the MARS structure in the “PSCAD”/EMTDC simulation environment. The simulation results show an increase in nadir frequency and steady-state frequency provided by the Multi-port Autonomous Reconfigurable Solar (MARS) structure via MBPC control. In future research, leading oversight methods are required to bring steady action down to unsteady error.

Sistem yang digunakan untuk administrasi pengelolaan tata tertib pada SMA Institut Indonesia Semarang masih bersifat semi-manual yaitu pencatatan dan pembuatan laporan yang digunakan masih manual dan hanya sebatas Ms. Office saja dan pemberitahuan pelanggaran siswa ke wali murid hanya sebatas via pos. Hal ini mengakibatkan sering terjadi kekeliruan dalam pencatatan pelanggaran tata tertib peserta didik yaitu ketidaksingkronan antara pencatatan harian pelanggaran yang dilakukan siswa dengan laporan yang dibuat oleh BK. Selain itu, pembuatan laporan per bulan memerlukan waktu yang lama. Dan juga sulitnya komunikasi antara pihak sekolah dengan wali murid mengenai pelanggaran siswa. Berdasarkan uraian kejadian tersebut, maka penelitian ini bertujuan untuk merancang sistem administrasi tata tertib peserta didik menggunakan SMS Gateway. Sistem ini dirancang dengan menggunakan PHP sebagai bahasa pemprograman, dan basis data MySQL Server . Tahapan pengembangan sistem yang digunakan untuk merancang sistem ini yaitu SDLC (System Development Lyfe Cycle) yang terdiri dari perencanaan sistem, analisis sistem, desain sistem, dan implementasi. Hasil yang diperoleh dari penelitian ini yaitu sistem administrasi tata tertib peserta didik menggunakan SMS Gateway berbasis Web Mobile yang dapat membantu proses pencatatan dan pembuatan laporan yang cepat dan akurat. Sistem ini juga dapat digunakan sebagai perantara komunikasi antara pihak sekolah dan wali murid mengenai pelanggaran yang dilakukan oleh peserta didik di sekolah.

Pengelolaan bank sampah menjadi permasalahan utama karena bendahara bank sampah masih melakukan pencatatan data nasabah, pembukuan timbangan timbangan, dan saldo nasabah secara manual dengan menuliskannya ke dalam buku catatan sedangkan peneliti mendokumentasikan proses pencatatan berat timbangan dan jenis timbangan. sampah yang masuk, buku catatan yang digunakan untuk mencatat seluruh proses transaksi bank sampah terselip di antara sampah kertas yang ditimbang dan hanya ada satu pegawai yang mencatat seluruh kegiatan transaksi bank sampah GRLH sampai dengan pencetakan laporan akhir, hal ini menyebabkan keterlambatan proses pelayanan kepada pelanggan dengan jumlah nasabah mencapai 50 orang sedangkan setiap nasabah menyetorkan sampah lebih dari 5 kg – 10 kg dengan jenis sampah yang berbeda-beda, serta keakuratan data transaksi keuangan dan sampah yang masuk pada saat menyusun laporan bulanan belum akurat. Berikut adalah contoh tabel saldo nasabah di Bank Sampah Guyub Rukun Rukun Dinas Lingkungan Hidup (GRLH)