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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 842 Documents
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The Role Of The Tourism Office In Developing Likupang Tourism In North Minahasa Regency, North Sulawesi Province Anita Fransiska Rumbayan; Halilul Khairi; Zubakhrum B. Tjenreng
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

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Abstract

This study examines the role of the Tourism Office and the obstacles faced in developing Likupang tourism, which is one of the Super Priority Tourism Destinations (DPSP) in Indonesia. The qualitative descriptive research method was used with data collection through documentation, observation, interviews and analyzed using ATLAS.ti software. The results of the study show the role of the Tourism Office including: 1) Coordinating with related parties in the development of Likupang, encouraging community participation in capacity building programs, and developing new attractions; 2) Striving to improve infrastructure for basic needs, including road quality and efforts to provide pioneering Damri transportation for easy access; 3) Improving supporting facilities in the form of health services, security and better telecommunications coverage; 4) Striving to achieve the concept of tourism awareness to create a conducive environment for tourism by organizing environmental cleanliness, sanitation and waste management training; and 5) Developing tourism promotion through participation in national and international events and through the use of social media. Several obstacles were identified, including: 1) Lack of Human Resources of civil servants with educational background in tourism 2) Limited allocation of government budget in tourism development in North Minahasa Regency; 3) Low community involvement in tourism development. This study concludes that the role of the North Minahasa Regency Tourism Office has been quite optimal in striving for Likupang tourism development through the program activities carried out which aim to support Likupang as a DPSP, but adjusted to regional capabilities.
Vitamin C Administration Method On Osteoblast Healing In Rats Femur Bone Sri Lestari Ramadhani Nasution; Muhammad Ari Pratama; Muhammad Faridz Syahrian
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

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Abstract

Bone, as an important organ in the body, has a fundamental role in supporting biomechanical functions, carrying out the hematopoiesis process, and maintaining calcium homeostasis. The cellular components of bone involve various types of cells, including osteogenic precursor cells, osteoblasts, osteoclasts, osteocytes, and hematopoietic elements from the bone marrow. Vitamin C, or ascorbic acid, is a water-soluble vitamin that plays an important role in the formation of collagen, skin, tendons, ligaments, blood vessels, as well as in wound healing and maintenance of cartilage, bones, and teeth. This study aims to analysed mean value and difference in the number of osteoblast cells in the femur of rats exposed to alcohol between groups receiving vitamin C. Based on the results of the One Way ANOVA test, the p value = 0.018 <0.05 was obtained, which indicated a significant difference in the average osteoblasts between groups. Furthermore, in the Post Hoc test, a difference in the mean osteoblasts was found between groups T3 and T5 with a p value = 0.029 < 0.05 and between groups T4 and T5 with a p value = 0.044 < 0.05. Conclusion: Administration of vitamin C can affect the increase in the number of osteoblast cells in the bone healing process in mice exposed to alcohol.
Modeling the Effect of Changes in Solar Radiation Rays on Solar Cell Output Using MATLAB/Simulink Ali Akbar Berutu; Ahmad Dani; Beni Satria
INFOKUM Vol. 13 No. 04 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i04.2805

Abstract

The intensity of solar radiation is the main factor that affects the performance of solar cells in generating electrical power. This study modeled the effect of solar radiation changes on the power output of solar panels using Matlab/Simulink, with solar radiation data from Nasa Power for the Tanjung Anom location. The simulation was carried out to measure the output power based on variations in solar radiation intensity and ambient temperature in the effective time range, namely 09.00 to 16.00. The results show that the intensity of solar radiation is directly proportional to the output power of solar panels. At the highest radiation intensity of 620.35 W/m², the maximum power produced reaches 107.6 W, with a voltage of 20.35 V and a current of 5.286 A. On the other hand, at the lowest radiation of 205.61 W/m², the power decreases to 11.94 W. The model successfully illustrates the linear relationship between solar radiation, voltage, current, and output power, and shows the sensitivity of solar panels to changes in environmental parameters. Using MATLAB/Simulink, this model can be used to design and optimize photovoltaic systems according to local conditions. This research makes an important contribution to a deep understanding of the characteristics of solar cells, as well as a reference in the development of more efficient and environmentally friendly solar energy systems.
Optimizing Data-Based Decision Making: Development And Implementation Of Decision Support System In Langkat Regency Government Sihotang, Jonhariono; Paska Marto Hasugian
INFOKUM Vol. 12 No. 04 (2024): Engineering, Computer and Communication, November 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v12i04.2807

Abstract

Effective decision-making in local government is essential to improve the quality of public services and policies. The Langkat Regency Government faces challenges in managing data efficiently due to the limited integrated information system. This study aims to develop and implement a Decision Support System (DSS) to support data-based decision-making in local government. Using a mixed-method approach, data were collected through observation, interviews, questionnaires, and document analysis from related agencies. The developed DSS prototype integrates cloud computing and artificial intelligence to accelerate data analysis and generate policy recommendations. The results showed that DSS increased data processing time efficiency and decision accuracy by 40%. However, challenges such as resistance to change and limited infrastructure are still obstacles. Therefore, a strategy to increase human resource capacity and digitalization policies is needed to ensure the sustainability of DSS.
Oral Lesion Image Classification Using Convolutional Neural Network (CovNets) Method Based on MobileNetV2 Architecture Reza Alamsyah; Irwan Jani Tarigan
INFOKUM Vol. 12 No. 04 (2024): Engineering, Computer and Communication, November 2024
Publisher : Sean Institute

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Abstract

Oral lesions, which can appear in various areas of the oral cavity, are often an early indication of oral cancer, one of the most common cancers worldwide and a leading cause of cancer death in South Asia, Southeast Asia, and the Western Pacific. Oral cancer can affect various parts of the mouth and throat, with contributing factors including genetics, smoking, and viral infections. Early detection is critical for effective management of oral cancer, allowing for early treatment that increases the chance of cure and reduces the risk of complications. This study used a Convolutional Neural Network (CNN) to detect images of oral lesions, including benign and malignant lesions, by utilizing the TensorFlow Object Detection API and data from the Oral Images Dataset. Testing with 40 images (20 benign and 20 malignant lesions) showed an accuracy of 92.5%, a precision of 95%, and a recall of 90%, demonstrating the potential of CNN in efficiently detecting oral lesions.
Design And Construction Of Soil Monitoring In Chili Farming Using Temperature, Ph And Humidity Sensors Based On Arduino Uno Bertauli Br Simorangkir; Solly Aryza; Parlin Siagian
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

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Abstract

Modern agriculture is increasingly adopting technology to improve efficiency and productivity. This study proposes the development of a Multi-sensor-based Chili Plant Monitoring System integrated with Internet of Things (IoT) technology and accessed via a website. This study is designed to monitor important parameters such as temperature, soil moisture, and soil pH in real-time to improve the efficiency of agricultural management. This system uses a number of sensors placed around chili plants to measure environmental parameters accurately. The temperature sensor is used to monitor the temperature of the plant environment, while the soil moisture sensor monitors the level of soil moisture which is important for plant health. Thus, they can monitor the condition of their chili plants remotely and make more timely decisions. In addition, the system can provide automatic notifications to farmers via the website when environmental conditions reach a specified limit. For example, farmers can receive a notification if the temperature exceeds a threshold or if soil moisture drops below the desired level. This allows farmers to take preventive measures or make necessary adjustments quickly. This research makes an important contribution to the development of efficient and sustainable technology-based agriculture. The implementation of the Multi-sensor-Based Chili Plant Monitoring System accessed via this website allows farmers to better manage their agricultural land, increase yields, and optimize resource use.
Analysis Of Lithium Ion Battery Characteristics In Electric Motors Syahrobi, Syahrobi; Muhammad Erpandi Dalimunthe; Zuraidah Tharo
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i02.2799

Abstract

Lithium-ion (Li-ion) batteries are one of the battery technologies widely used in electric motorcycles (EVs) because they have high efficiency and good durability. This battery functions as the main energy source for electric vehicles and is an important component in supporting vehicle performance. This study aims to analyze the characteristics of Lithium-ion batteries in electric motorcycles by considering factors such as operating temperature, voltage, and the influence of speed and terrain. Tests were carried out on flat and uphill tracks with speed variations of 10 km/h, 30 km/h, and 50 km/h. The results showed that Lithium-ion batteries tend to experience a faster increase in temperature when used at high speeds, but the battery voltage remains stable during the Discharge and Charging process without any significant spikes. These findings provide insight into the performance of Lithium-ion batteries in electric vehicles, as well as the importance of temperature management to maintain optimal battery performance.
Analysis Of Results Of Voltage Transformer Insulation Resistance Test On Bay Banda Aceh 1 And Bay Banda Aceh 2 Conductors At Ulee Kareng Substation Hari Andiko; Muhammad Erpandi Dalimunthe
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i02.2800

Abstract

Voltage transformers are one of the important components in an electric power system that functions to reduce the voltage from the transmission network to a lower level for measurement and protection purposes. The quality of the insulation of the voltage transformer greatly affects the reliability of the operation of the electric power system. Therefore, periodic insulation resistance testing is needed to ensure optimal insulation performance and avoid electrical interference. This study aims to analyze the results of the insulation resistance test on the voltage transformer used in the Bay Banda Aceh 1 and Bay Banda Aceh 2 conductors at the Ulee Kareng Substation. The test was carried out using a megger test tool with a method of measuring the insulation resistance between the primary winding and the ground and between the primary winding and the secondary. The measurement data were compared with applicable standards to determine the insulation condition of the voltage transformer. The results of the study showed that the insulation resistance values ​​obtained from both conductors had variations that were influenced by environmental factors such as temperature and humidity. Based on the analysis carried out, most of the test results were still within safe limits according to IEEE and SPLN standards. However, there were several test values ​​that were close to the minimum limit, which indicated insulation degradation that needed further attention. With this research, it is expected to provide information on the condition of voltage transformer insulation and recommendations for preventive actions needed to maintain the reliability of the electric power system at the Ulee Kareng Substation.
Design Of Single Phase Voltage Loss Relay System On Three Phase Motors At Blang Pidie Substation Fakhrul Razi Anjas; Muhammad Erpandi Dalimunthe
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i02.2801

Abstract

Three-phase motors are one of the main equipment in the electric power system used to drive various industrial machines, including the Blang Pidie Substation. One of the problems that often occurs in three-phase motors is the loss of voltage in one phase (single phasing), which can cause current imbalance, motor temperature increase, and the potential for greater damage. Therefore, a protection system is needed that can detect the loss of single-phase voltage and automatically stop motor operation to prevent further damage. This study aims to design and build a single-phase voltage loss protection relay system on three-phase motors at the Blang Pidie Substation. This system uses a voltage relay as the main component to detect voltage loss in one phase, which will then activate the current breaking mechanism to protect the motor. Testing is carried out by simulating various voltage loss conditions to analyze the response speed and effectiveness of the relay system in protecting the motor. The results of the study show that the designed relay system is able to detect single-phase voltage loss with high accuracy and fast response time. When a disturbance occurs, the system immediately cuts off the electricity to the motor to prevent overheating and permanent damage. The implementation of this system is expected to improve the reliability of three-phase motor operations and reduce the risk of failure at the Blang Pidie Substation.
Air Quality Control System With Gas Leak Detection In Rooms With Fuzzy Muhammad Faqih Fathurrahman NS; Muhammad Erpandi Dalimunthe
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i02.2802

Abstract

Indoor air quality is an important factor affecting human health and safety, especially in industrial and laboratory environments that are at risk of hazardous gas leaks. To overcome this problem, a system is needed that is able to monitor air quality in real time and detect gas leaks with a high level of accuracy. One of the artificial intelligence methods that can be used in air quality control systems is fuzzy logic, which is able to process sensor data with a high level of uncertainty and produce optimal decisions.This study aims to design and develop an air quality control system with fuzzy logic-based gas leak detection. This system uses various sensors, such as gas sensors (MQ-series), temperature sensors, and humidity sensors, whose data is processed using a fuzzy algorithm to determine the level of air quality and detect gas leaks automatically. If a gas leak or a decrease in air quality is detected below the set threshold, the system will activate a warning alarm and control ventilation to maintain safe air conditions.The test results show that the developed system is able to detect gas leaks with a high level of accuracy and provide a quick response to changes in indoor air conditions. The use of fuzzy logic allows the system to adjust actions based on the severity of the leak or air pollution, thereby increasing efficiency and reliability in air quality control. Thus, this system can be an effective solution in improving indoor safety and comfort, especially in environments that are vulnerable to gas leaks.

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