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INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 29 Documents
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Search results for , issue "Vol. 13 No. 03 (2025): Infokum" : 29 Documents clear
Cyber Security Incident Handling Model In Small Bank Guna, I Wayan Wiasta; Suradilaga, Eugene Ario
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i03.2817

Abstract

Bank digitalization is a breakthrough in this era. Almost all banks in Indonesia are competing to implement bank digitalization. However, this presents a new challenge in the form of a security gap called Cyber Security Risk. Ransomware and all the cyber-attacks that have recently occurred in several Banking and Finance areas in Indonesia have forced companies to rethink cybersecurity governance, bringing together all the essential things. Elements of practical cyber defense and risk management. This research aims to ensure that their security strategies and policies are implemented consistently and measurably by developing a Design Cyber Security Incident Response Model Based on DMAB SEOJK 03 2023 on Small Private Japan Bank in Indonesia.
Safety Analysis Using Seven Basic Quality Tools Fishbone Diagram Agus Wiranto
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i03.2819

Abstract

Workplace hazards have the potential to cause occupational diseases. Occupational diseases are illnesses caused by work and/or the work environment (Presidential Regulation Number 7 of 2019 on Occupational Diseases). The importance of knowledge about occupational diseases is crucial because many people do not realize that the health problems they experience are the result of their work. Occupational diseases can be prevented, but if they are detected too late, they can lead to more serious health problems, which will have a greater impact on the workforce and increase healthcare management costs, ultimately reducing work productivity. The aim of this research is to prevent the occurrence of occupational diseases using the Decision Support System (DSS) method with the Seven Basic Quality Tools Fishbone Diagram, which helps analyze various issues related to the impact of occupational diseases. Moreover, this method has many other functions and benefits, as it identifies the cause-and-effect relationships between the variables (factors) causing the problem (X) and the resulting variables. Several methods were used in this research to gather data and perform appropriate analysis. This approach can assist fieldwork and be used to experience the process of work safety and health directly. The Fishbone Diagram, also known as the Ishikawa diagram or cause-and-effect diagram, is a tool used to identify the root causes of problems. The name comes from Kaoru Ishikawa, a Japanese quality control expert who developed this concept in the 1960s. Organizations across various industries, including manufacturing, healthcare, and services, use the Fishbone Diagram to identify and analyze the factors contributing to specific problems or issues. Teams typically use the diagram to identify all possible causes of a problem or effect. They label these causes based on major contributing factors, such as people, equipment, materials, environment, and methods. Once all the causes are identified and listed, the next step is to analyze the relationships between them to identify the root cause of the issue. This can be done using various techniques, such as the "5 Whys" method, where one repeatedly asks why a problem occurred until the root cause is identified. The results of the research showed that the risk value for occupational diseases, specifically respiratory disorders, before the implementation of the Fishbone Diagram was 12 incidents, and after the implementation, the number of incidents decreased to 4.
An Analysis Of Solar Power Plan Optimization With Solar Reflector Angle Variation Based On IOT Selamat Riady Hutasuhut; Solly Aryza; Beni Satria
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i03.2821

Abstract

This study analyzes the optimization of solar power generation by varying the angle of solar reflectors based on the internet of things (iot). The research aims to determine the most effective reflector angle to maximize the efficiency of solar energy absorption in solar power plants. By utilizing iot technology, real-time monitoring and adjustment of the reflector angles can be achieved to enhance energy capture throughout the day. The methodology involves both experimental and simulation approaches to compare different angles under various environmental conditions. The results of the study indicate that optimal reflector angles significantly improve the overall efficiency of solar power generation. This research contributes to the development of more efficient and sustainable solar power systems by leveraging iot for precise and responsive control mechanisms.
Sanctions for Recidivist Drug Offenders From the Perspective of Penitentiary Law Rasiwan, Iwan; Rundasih, Rundasih
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i03.2831

Abstract

This study examines the effectiveness of penal sanctions for recidivist drug offenders in Indonesia from the perspective of penitentiary law. The findings reveal that Indonesia’s punitive approach, characterized by severe incarceration measures, has failed to reduce recidivism rates, which remain among the highest globally. Comparative analysis with jurisdictions such as Norway, Portugal, and the Netherlands demonstrates that rehabilitation-based justice models, incorporating structured treatment programs and alternative sentencing, have yielded significantly lower recidivism rates. The study identifies key challenges within Indonesia’s criminal justice system, including prison overcrowding, lack of access to rehabilitation programs, and post-incarceration social exclusion, all of which contribute to the cycle of reoffending. The research suggests that a shift toward evidence-based rehabilitative measures, including diversion programs, proportional sentencing, and community-based reintegration efforts, is crucial for improving Indonesia’s approach to drug-related recidivism. By aligning its legal framework with international best practices, Indonesia can develop a more effective and sustainable criminal justice strategy that prioritizes rehabilitation over punitive incarceration.
Analysis of the Working System of a Carcinogenic Substance Neutralization Device (Smoke/Gas) in Enclosed Space Using an MQ2 Sensor Based on Arduino Uno Nuraprilyani Pasaribu; Beni Satria; Ahmad Dani
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

Air pollution in enclosed spaces, particularly from carcinogenic substances such as smoke and hazardous gases, poses significant health risks. Effective detection and neutralization of these harmful compounds are crucial to ensuring indoor air quality and human safety. This study analysed the working system of a carcinogenic substance neutralization device that utilizes an MQ2 gas sensor and Arduino Uno for real-time monitoring and control. The system is designed to detect the presence of carbon monoxide (CO), liquefied petroleum gas (LPG), smoke, and other harmful gases using the MQ2 sensor. When the sensor detects a gas concentration exceeding a predefined threshold, the Arduino Uno microcontroller triggers an exhaust fan or an air purification mechanism to neutralize the pollutants. The system also features a real-time display and an alarm to alert users of hazardous gas levels. The experimental results indicate that the MQ2 sensor effectively detects gas concentrations with a fast response time. The Arduino-based control system efficiently activates the neutralization process, improving air quality in enclosed spaces. The integration of this system with smart monitoring devices can enhance air pollution management in industrial, residential, and commercial environments. This paper contributes to the development of low-cost, automated air purification systems for enclosed spaces, with potential applications in health safety, environmental protection, and industrial settings. Future research may focus on integrating IoT-based remote monitoring and advanced filtration technologies to enhance the system’s efficiency and adaptability.
Factors that Influence the Going Concern Opinion (Study on the Financial Sector on the Indonesian Stock Exchange for the Period 2019-2024) Joice Yusheilla Sirait; Renny Maisyarah
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

Going concern opinion is a crucial assessment issued by auditors to evaluate a company's ability to sustain its operations in the foreseeable future. This study aims to analyze the factors influencing the issuance of going concern opinions in the financial sector companies listed on the Indonesian Stock Exchange (IDX) for the period 2019-2024. Several financial and non-financial factors are considered, including profitability, liquidity, leverage, company size, audit quality, and macroeconomic conditions. This research employs a quantitative approach, utilizing secondary data from financial reports and audit opinions of companies within the financial sector. The data will be analyzed using logistic regression to determine the significance and influence of each variable on the probability of receiving a going concern opinion. The expected findings will provide insights into the key determinants affecting auditors' going concern assessments. This study is essential for investors, regulators, and company management to understand the financial stability of firms and improve corporate governance practices. Furthermore, the research contributes to the auditing literature by examining the role of economic fluctuations and audit quality in shaping going concern opinions.
Strategy for Reducing Doubtful Receivables on Cash Performance of PT PLN (Persero) ULP Denai Alamsyah Harahap; Renny Maisyarah
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

Doubtful receivables are one of the main challenges in financial management, particularly for public service providers such as PT PLN (Persero). This study aims to analyze strategies that can be implemented to reduce doubtful receivables and their impact on the company's cash performance. The research employs a quantitative approach by analyzing financial data from PT PLN (Persero) ULP Denai over a specific period. The results indicate that implementing more effective collection strategies, a digital customer monitoring system, and discount and incentive policies for timely payments significantly contribute to reducing doubtful receivables. Additionally, optimizing the prepaid electricity system (token-based payment) has proven to mitigate the risk of uncollectible receivables. By applying the right strategies, PT PLN (Persero) ULP Denai can improve operational cash flow, reduce financial burdens caused by uncollected receivables, and enhance efficiency in revenue management.
A Comparative Analysis of Thermoelectric Generator Type SP1848-27145 SA Using Three Circuit Variations Maharani Putri
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

Thermoelectric generators (TEGs) are devices that convert heat energy into electrical energy based on the Seebeck effect. This study analyzes the performance of the SP1848-27145 SA thermoelectric generator using three different circuit configurations to determine the most efficient setup for power generation. The research evaluates the voltage, current, power output, and efficiency of each configuration under controlled temperature conditions. The experimental results indicate that different circuit arrangements significantly affect the power output of the thermoelectric generator. The series configuration produced the highest voltage output, while the parallel configuration generated a higher current. The hybrid configuration (a combination of series and parallel) provided a balance between voltage and current, resulting in optimal power efficiency. These findings contribute to the optimization of TEG applications in renewable energy systems, especially in low-power generation scenarios. Further studies could explore heat dissipation techniques and advanced materials to enhance thermoelectric efficiency.
A Smart IOT Approach to Optimize Electric Circuit Breaker Reliability and Functionality Solly Aryza; Zulkarnain Lubis; Khairil Putra
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

In modern electric power systems, circuit breakers play a critical role in maintaining operational safety and system stability by disconnecting faulty sections during abnormal conditions. However, the reliability and functionality of conventional circuit breakers are often compromised due to delayed maintenance, undetected mechanical wear, and the lack of real-time monitoring. This study proposes a smart Internet of Things (IOT)-based approach to enhance the reliability and functionality of electric circuit breakers by enabling real-time data acquisition, condition monitoring, and predictive maintenance. The system integrates various sensors—such as temperature, current, and vibration sensors—connected through microcontrollers and cloud platforms for remote access and analysis. Through simulations and prototype testing, the proposed system demonstrates improved response time in fault detection, early failure diagnosis, and efficient maintenance scheduling. This research highlights the potential of IOT technology in transforming traditional power protection systems into intelligent, adaptive, and more reliable infrastructures.
A Development IOT Based Real-Time Weather Monitoring System Using NodeMCU ESP32 and BMP280-DHT11 Sensor Beni Satria; Rahmaniar, Rahmaniar; M. Erpandi Dalimunthe; M. Iqbal; Berthauli. S
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

This research aims to develop an Internet of Things (IoT) based weather station using NodeMCU ESP32 microcontroller, BMP280 sensor, and DHT11 sensor. The main problem faced is the lack of weather monitoring system.real timewhich can be accessed remotely to support decision making based on current environmental conditions. To overcome this, this study designed a system that is able to automatically collect temperature, relative humidity, and atmospheric pressure data and transmit it to an online platform via a Wi-Fi connection. The collected data is displayed in graphical form on the application.Blynkto facilitate further analysis. The system testing was conducted for 21 days in Medan City with average air temperature measurements ranging from 29°C to 34°C and relative humidity between 63% and 76%. The preliminary results show that the system has a measurement accuracy of around 95%, with a fast and stable connection to the platformclouddepending on the quality of the internet service provider. This system allows monitoring of weather conditions in real time.real timevia Android or iOS devices, making it easy for users to monitor weather parameters from any location. This research not only proves the implementation of IoT in weather monitoring but also opens up opportunities for further development in environmental monitoring and resource management applications.

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