The registration system at BLK Surakarta appears to be experiencing data redundancy which needs to be addressed through in-depth analysis. The student registration process is integrated into the system, but there are still deficiencies in data management which results in frequent data duplication or errors. This research uses Cobit 4.1 as a framework for auditing the registration system at BLK Surakarta, with a focus on the Delivery and Support subdomain (DS 10 and DS11). The main objective is to assess the maturity level of the IT processes implemented at BLK Surakarta and provide recommendations for improvement. The research results show the need for BLK Surakarta to carry out regular system performance evaluations, involving parties responsible for identifying and overcoming problems that arise, in order to ensure optimal system conditions. Evaluation in Domain 10 Delivery & Support shows a current maturity level of 3.27, while in Domain 11 Delivery & Support, the maturity level is 3.31. However, it was found that the process of managing payment data for new student registration was less than optimal due to limited tools available.
 
 
 

The Water Quality Index (WQI) shows the condition of water quality in an area based on the status of water quality resulting from the measurement of physical, chemical and bacteriological parameters of a water body both rivers and lakes. Several machine learning techniques can be used to predict water quality in an area, one of which is through the prophet model approach which is able to provide fairly accurate predictions for the water quality index in Indonesia. The main objective of this research is to obtain a WQI prediction value as a baseline in the formulation of future environmental control activity policies using the prophet model. The result is that the predicted value of IKA for 2021-2023 generated through machine learning with the prophet model approach shows that the Mean Absolute Error (MAE) value: 7.01, Root Mean Square Error (RMSE): 8.61 and Mean Absolute Percentage Error (MAPE): 13.06%, which means that IKA prediction with the prophet model is effective in capturing annual patterns between historical data and future predictions.
 
 

An expert system is artificial intelligence that imitates the ability of an expert to solve problems in a certain domain. Utilizing a knowledge base and specified rules, the expert system provides advice or decisions that approach human expertise in this specific field, especially regarding cholesterol disease for teenagers, cholesterol disease can cause death in a person so it needs initial treatment as a diagnosis. In this regard, an expert system application is needed to diagnose cholesterol disease for users which supports the diagnosis process using the certainty factor method, based on the certainty factor which has a concept based on symptoms and diagnosis from the weight of an expert's value and the user's value, then calculated using the certainty factor formula, The final result is the creation of an expert system application for diagnosing cholesterol disease using a website-based certainty factor method.

This study aims to determine the application of the Education Management Information System (EMIS) in Islamic boarding schools that can be utilized in decision making in the Early Education and Islamic Boarding School Section of the Ministry of Religious Affairs of Palangka Raya City. This research is a qualitative research, data collection techniques are done by observation, in-depth interviews, and documentation. This research consists of 4 components, namely the human resource component by measuring internal factors consisting of attitude, skills, and knowledge, where the three benchmarks are sufficiently fulfilled. External factors of human resources with the first indicator of work tools (tools) have not been maximized. Second, work support resources include adequate funds and supporting infrastructure, third, coworkers are quite good in implementation. The minimum hardware requirements are PC/laptop, router, printer, and electricity network. The hardware resource component is still found to be not fully supportive and adequate. The software resource component, in terms of processes and computer programs that support EMIS, is quite well implemented. Data resources in the application of EMIS are seen from 3 sub-indicators, namely data categories, timeliness of data collection, and rules in the data collection process where the three elements are quite well done by EMIS operators. Supporting factors that support the implementation of EMIS consist of first, the role of the leadership by coordinating the implementation of EMIS.
 
 

Communication between devices is an important aspect when developing an Arduino-based system. The three communication protocols commonly used with Arduino are I2C (Inter-Integrated Circuit), SPI (Serial Peripheral Interface), and UART (Universal Asynchronous Receiver/Transmitter). Each of these protocols has unique characteristics that make them suitable for different applications. These three communication protocols provide flexible options when developing systems that communicate with sensors, actuators, or other modules on the Arduino platform. Selecting the appropriate protocol depends on specific needs, such as speed, number of connected devices, and system complexity.

This article discusses the importance of building an e-commerce ecosystem that supports the growth of Micro, Small and Medium Enterprises (MSMEs). In an era of increasingly rapid digitalization, MSMEs need to adopt e-commerce platforms to expand their market reach and increase their competitiveness. However, to achieve sustainable growth, a strong and sustainable e-commerce ecosystem needs to be built. In this article, the author identifies the opportunities that exist in building an e-commerce ecosystem that supports MSMEs. One of the main opportunities is access to a wider global market, which can open the door for MSMEs to sell their products to customers around the world. In addition, e-commerce platforms also provide opportunities for MSMEs to utilize new technologies such as artificial intelligence and data analytics to improve operational efficiency and decision making.
 
 

Makalah ini menyajikan audit terhadap aplikasi Sirekap yang dikembangkan oleh Komisi Pemilihan Umum (KPU) untuk menilai keamanan dan efisiensi sistem. Penelitian ini menyelidiki latar belakang dan pentingnya sistem Sirekap dalam proses pemilu, dengan tujuan mengidentifikasi potensi kerentanan dan menilai kinerja sistem. Menggunakan kombinasi metodologi analisis risiko dan pengujian sistem, studi ini mengungkapkan beberapa kekuatan dan kelemahan dalam aplikasi tersebut. Temuan penelitian ini menyoroti perlunya perbaikan untuk meningkatkan langkah-langkah keamanan dan efisiensi operasional aplikasi. Implikasi dari penelitian ini memberikan kerangka kerja untuk perbaikan di masa depan dan memastikan keandalan sistem dalam mendukung pemilu yang adil dan efektif.

In the digital era, the utilization of information technology has become a primary need to support various aspects of education. One of the innovations implemented in educational institutions is the use of e-learning platforms, which allow learners to study flexibly without being hindered by distance and time. Universitas Amikom Purwokerto has developed the E-Learning Support System (ELLS) website as an online learning tool accessible by students and lecturers. This study aims to analyze the service management of ELLS using the ITIL V3 framework, which provides a structured guide in managing and optimizing services to better meet user needs in a sustainable manner. The methodology used includes observation, interviews, and surveys distributed to service users. The results show that the implementation of ITIL V3 can improve service effectiveness, reduce the risk of disruptions, and provide a positive experience for users. This research is expected to provide recommendations for improving e-learning service management at Universitas Amikom Purwokerto and serve as a reference for other educational institutions looking to enhance the quality of their services.

This study seeks to create a system for monitoring the environment using the Internet of Things. It aims to help farmers manage their rice fields in a way that is both effective and sustainable. The system will provide farmers with real-time data on soil moisture, air temperature, and rainfall, allowing them to make informed decisions. Sensors will collect this information, which will be analyzed and presented simply through a web or mobile app. Early simulations suggest that this system could boost crop yields by as much as 15% and cut water use and costs by 20%. These findings point to the IoT monitoring system as a practical means to enhance rice farming's efficiency and productivity. Yet, there are hurdles. Issues like poor network infrastructure, high costs of implementation, and the farmers' ability to adapt to this technology need to be overcome for the system to work properly. This study aspires to make a real difference in promoting sustainable farming practices while paving the way for more advanced IoT solutions in the future.

: For companies across industries, the integration of the Internet of Things (IoT) and management information systems (MIS) offers great potential for digital transformation. This publication explains the benefits and drawbacks of integrating IoT into MIS and how this technology can improve customer experience of products and services, in-depth data analysis, operational efficiency, energy efficiency, and creativity. Implementing IoT in SIM is not without challenges, because there are issues such as data security, interoperability, infrastructure availability, advanced data management, data protection and ethics. With a clear understanding of these pros and cons, companies can take the necessary steps to take full advantage of IoT integration in MIS while maintaining operational security, data protection, and Masu requirements.