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This research examines the application of the Elliptic Curve Digital Signature Algorithm (ECDSA) in a blockchain system as a security solution for digital payment systems in Indonesia. Using a descriptive-qualitative approach based on literature review and conceptual simulations using Python, this study discusses the working principles of ECDSA, its advantages over other digital signature algorithms, and the challenges of its adoption in Indonesia. The results show that ECDSA provides high cryptographic efficiency, maintains transaction authenticity and integrity, and supports a transparent decentralized system. The academic simulations include not only KYC processes, top-ups, transactions, validation by validators, and block recording, but also demonstrates the formation of an interconnected multi-level blockchain and tests scenarios for rejecting manipulated or invalid transactions. The contribution of this research lies not only in the theoretical review but also in the implementation illustrations that can be used as a basis for education and the initial development of blockchain-based digital payment systems. The research results show that ECDSA is capable of providing a high level of efficiency in the encryption and transaction verification process, maintaining data integrity and authenticity, and supporting a decentralized and transparent system. The academic simulations included the KYC process, wallet creation using ECDSA keys, balance top-ups through bank integration, transaction creation and validation, and block recording in the blockchain. Specifically, the simulations successfully demonstrated how new blocks are added to the chain by referencing the previous block's hash, as well as how transactions with corrupted signatures, manipulated amounts, or insufficient balances are automatically rejected by the validator consensus mechanism, maintaining system integrity. This research contributes not only theoretically, but also through conceptual representations that can be used as an educational foundation and for the initial development of blockchain-based digital payment systems in Indonesia.

Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several layers (input, hidden, and output). NN is used for pattern recognition, classification, regression, and complex non-linear modeling. The NN algorithm has the advantage of working well on large and diverse data and unstructured data. However, the NN algorithm has weaknesses such as overfitting and data dependence. In this study, the integration of the Sample Bootstrapping and Weighted Principal Component Analysis (PCA) methods is proposed to improve optimal accuracy in the NN algorithm. The Sample Bootstrapping method is used to reduce the amount of training data to be processed. The Weighted PCA method is used to reduce attributes. This study uses a financing customer dataset. The results of the study show that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA resulted in an accuracy increase of 1-3% (97%-99%) compared to other algorithms. Therefore, it can be concluded that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA produces better accuracy than other algorithms

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

Monitoring realizes efforts to improve the quality of health services. To obtain information on patient condition data during treatment. The monitoring process is done manually. So that it has an impact on the service and condition of the patient during treatment. The design of monitoring the patient's body temperature and heart during treatment with IoT can be controlled through the NodeMCU sensor ESP8266, MLX9014, MAX30100 sensor and Arduino IDE software program. Furthermore, it can detect the patient's temperature and the patient's heart rate during treatment. And processed by the NodeMCU ESP8266, the data from the two sensors is displayed on the SSD1306 OLED LCD and also to the smartphone of the medical officer on duty via Blynk. In order for the tool to work properly and optimally, it is necessary to adjust the pin placement so that it can work optimally. The problem of internet connection interference causes delays, resulting in a mismatch between the measurement of the test equipment and the standard tool. Data values are taken with an accuracy of 70%-93% for the MAX30100 sensor, for the temperature sensor it is close to optimal with a value that is read on a standard tool with an accuracy of 97%-99%.

Kinerja pegawai dalam sebuah perusahaan dapat dilihat dari pencatatan kehadiran atau presensi pegawai setiap harinya. Selama ini para pegawai  melakukan presensi kehadiran setiap harinya dengan menggunakan mesin presensi berupa fingerprint. Namun dengan adanya pandemi Covid-19 maka memunculkan permasalahan baru yaitu resiko penularan yang semakin besar menggingat mesin tersebut menggunakan sentuhan telunjuk tangan dalam melakukan pendeteksiannya. Selain itu juga selama pandemi perusahaan mewajibkan untuk bekerja dari rumah (Work From Home) sehingga sebagian besar pegawai tidak dapat masuk kerja untuk melakukan presensi. Dengan masalah tersebut, perusahaan membutuhkan solusi dimana pegawai dapat melakukan presensi tanpa harus bersentuhan dengan alat presensi serta aktifitas presensi dapat dilakukan dari rumah tanpa ada unsur kecurangan karena titip absen. Disisi lain perkembangan smartphone dirasa sangat pesat dibandingkan teknologi yang lainnya. Salah satu teknologi dalam smartphone yang sedang berkembang saat ini yaitu pemanfaatan kamera smartphone untuk scan QR Code. Dalam penggunaannya user cukup mengarahkan kamera smartphone nya ke arah tampilan QR Code yang ada pada layar situs WEB PT.Swakarya Insan Mandiri. Dengan menggabungkan platform QR Code dan WEB, diharapkan mampu mengatasi salah satu masalah presensi yang dialami  oleh perusahaan PT.Swakarya Insan Mandiri Semarang. Kedua  platform ini dibangun dengan bahasa permrogaman PHP dan penyimpanan data menggunakan MySql serta program tools MIT App Inventor. Hasil dari sistem ini yaitu presensi kehadiran pegawai menggunakan QR Code berbasis WEB yang dapat dilakukan di rumah dengan tujuan untuk mengatasi penularan dan penyebaran Covid-19.

Tata kelola TI atau IT (Information Technology) Governance merupakan struktur hubungan dan proses untuk mengarahkan dan mengendalikan organisasi untuk mencapai tujuannya dengan menambahkan nilai ketika menyeimbangkan risiko dibandingkan dengan TI dan prosesnya. Dalam penelitian ini dihasilkan suatu rekomendasi IT Governance yang merupakan pengembangan dari IT Governance yang sudah dilaksanakan oleh Institusi saat ini, namun saat ini proses IT Governance belum dilakukan secara menyeluruh. Rekomendasi IT Governance ini dibuat guna meningkatkan kinerja TI layanan akademik yang ada di UNISBANK, dimana aktivitas layanan akademik tersebut menjadi tanggung jawab kerja suatu biro yang bernama BAAK dan pengadaan dan pengelolaan TI yang ada  menjadi tanggung jawab suatu divisi yaitu P2ICT. Perancangan IT Governance dalam penelitian ini menggunakan kerangka kerja COBIT (Control Objective For Information and Related Technology) versi 4.0, Dalam penelitian ini hanya dibahas 2 domain dari 4 domain yang ada di COBIT dengan pembahasan dibatasi pada tingkat control process saja, tidak membahas aktivitas-aktivitas yang terdapat di setiap control process. Domain yang dipilih dalam penelitian ini untuk dibuatkan rekomendasi pengelolaan TI adalah domain Deliver and Support (DS), Monitor and Evaluate (ME). Dari pemetaan model maturity tersebut diperoleh bahwa tingkat maturity untuk DS mendidik dan melatih users berada pada level maturity 4 (diatur), sementara untuk DS mengelola data berada pada tingkat maturity 3 (ditetapkan), Domain untuk Monitor dan evaluasi kinerja TI berada tingkat maturity 3 (ditetapkan). Berdasarkan pemetaan maturity tersebut dirancang rekomendasi IT Governance untuk masing-masing control process agar tingkat maturity dari masing-masing control process tersebut bisa lebih baik. Berdasarkan visi, misi, tantangan masa depan, dan tingginya harapan manajemen UNISBANK terhadap proses IT COBIT, dapat disimpulkan untuk dapat mendukung pencapaian tujuan UNISBANK setidaknya tingkat maturity pengelolaan IT yang dilakukan harus berada pada tingkat 4 – diatur (managed) dimana proses di monitor dan diukur manggunakan indikator tertentu.

This article discuss research progress and future opportunities for modeling consumer choice on the Internet using clickstream data and also to compare the nature of Internet choice (as captured by clickstream data) with supermarket choice (as captured by UPC scanner panel data). Though the application of choice models to clickstream data is relatively new, and review existing early work and provide a two-by-two categorization of the applications studied to date (delineating search versus purchase on the one hand and within-site versus across-site choices on the other). The article discusses additional opportunities afforded by clickstream information, including personalization, data mining, automation, and customer valuation and also offers directions for further research in these areas. Notwithstanding the numerous challenges associated with clickstream data research.