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International Journal of Multidisciplinary Sciences and Arts

ijmdsa
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Published by Information Technology and Science

ISSN : - EISSN : 29621658 DOI : https://doi.org/10.47709

Core Subject : Economy, Science, Education,

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

International Journal of Multidisciplinary Sciences and Arts is an international, multidisciplinary, peer-reviewed and open-access journal that provides a platform to produce high-quality original research, Reviews, Letters, and case reports in natural, social, applied, formal sciences, arts, and all other related fields. Our aim is to ameliorate the speedy distribution of new research ideas and results and allow the researchers to create new knowledge, studies, and innovations that will aid as a reference tool for the future.

Arjuna Subject : Seni dan Humaniora - Seni dan Humaniora (Lain-Lain)

Articles 339 Documents

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Implementation of Vibration Sensor and Pin Lock using Keypad for Charity Box Security Ilham, Dirja Nur; Candra, Rudi Arif; Budiansyah, Arie; Sipahutar, Erwinsyah; Harahap, Muhammad Khoiruddin; Anugreni, Fera
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i2.2050

Security is a state in which people or things feel safe from ominous or unsettling hazards, which will then cause them to feel at ease and comfortable. There are many ways to achieve security, one of which is via utilizing and deploying technology. The use of security technology has advanced quickly in recent years, from low-tech to high-tech techniques. By using Arduino as a circuit controller to process input from a vibrating sensor and 4x4 keypad, output to a solenoid as a charity box lock, and a buzzer that serves as an alarm in case of theft, technological or automated methods can reduce charity box theft and also increase the security of charity box locks. The charity box security system tool is made to prevent the theft of charity boxes, which frequently happens in mosques. If someone tries to steal the charity box, an alarm will go off, and you need a pin that has been programmed on an Arduino Ide and stored in EEPROM to open the charity box cover, so this tool can stop charity box theft in mosques.

The Determination of Tannin Content and Larvicidal Activity Test Of Ripe Sapodilla Fruit Peel (Manilkara zapota) Trisnawati, Ade; Sri Wahyuningsih; Febriyandhi Yahya
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i2.2062

This study aimed to determine the results of total tannin content determination of sapodilla peel extract (Manilkara zapota) and the effectiveness of sapodilla peel extract (Manilkara zapota) as a Aedes aegypti mosquito larvicide. The method used was a quantitative descriptive with a purposive sampling method. The sample was ripe sapodilla (Manilkara zapota) peel. The determination of tannin content in sample extracts was analyzed using UV-Vis spectrophotometry. The extraction of tannins from sapodilla peel (Manilkara zapota) was carried out by maceration method using 70 % ethanol. Based on the research results it was found that the total content of sapodilla peel extract was 3,058 mg GAE/g extract. The results of the larvicide test showed that the sapodilla peel extract could be used as an Aedes aegypti larvicide with the most effective concentration in killing 50% of the larvae at a concentration of 20,000 ppm.

The Role of AI and Machine Learning in Optimizing Cloud Resource Allocation Abdullah Al Noman; Zakir Hossain; Md Abu Shihab; Nipa Akter; Nur Nahar Rimi; Md Farhad Kabir
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i2.2190

Resource allocation inside the cloud infrastructure is an essential requirement for better performance and cost-effectiveness. With workloads growing so much more complex and dynamic, we now need automated solutions that allow us to move past tedious, manual resource management. AI provides a unique paradigm for optimizing resource allocation in such complex and dynamic environments. In this paper, we have compared various AI techniques such as machine learning, evolutionary algorithms and deep reinforcement learning for the problem of resource allocation in cloud infrastructure. We analyze their effectiveness for dynamic resource provisioning to satisfy performance objectives while reducing operational expenditure. We offer an in-depth performance comparison using real-world datasets and simulations to showcase the merits and drawbacks of each. Implications: We believe that our findings can offer guidelines to cloud providers, researchers, and practitioners who are interested in making proactive improvements on managing cloud infrastructures using intelligent resource allocation techniques.

Ransom ware Attacks on Financial Institutions: A Review of the Literature on Cybersecurity Risks and Countermeasures Abid, Noman
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i2.2198

Ransom ware threats have become a new and real threat to financial institutions because they present risks to data integrity, business continuity and consumers’ trust. The current review focuses on the evolution of Ransom ware, such as double and triple extortion, Ransom ware as a service, attacks on the cloud services and targeted financial institutions. Banks therefore are experiencing additional pressures as cyber criminals morph their tactics to target weaknesses in both original legacy and new-age or remote work structures and artificial intelligence. To counter these, the most effective approach involves a number of tiered defense inclusions that includes back up of the data, network separation, and patching and general employee education. Threat monitoring especially at an early stage as well as a solid endpoint security solution is necessary, in addition to a clear-cut Incident Response Plan so as to contain the attack consequences. As far as Ransom ware is concerned more focus should be placed on the latest trends and financial institutions should not stick to traditional threats and should embrace new technologies and advanced disaster recovery solutions. Through exercising a proactive approach towards cybersecurity assessment, financial institutions can build up their defenses to protect their significant assets against growing cybersecurity threats, and maintain operational continuity to run a business.

The Study of Helicobacter Pylori Bacteria Infection in Bani Waleed city -Libya Eisay, Zahrah M.; Grimida, Salheen; Abdoarrahem , Mostafa MO; Alnaqrat, Ruqayah Ali; Zobeida, Addokali
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2245

The current study included 430 infected cases with H. pylori bacteria in Bani Waleed city, Libya. Risk factors that might have an important role in an increasing the risk of infection were studied such as drinking stimulants tea and coffee, and smoking. The samples were blood and faces and were tested using rapid test to find the infection. The percentage of infected people who drank both or one of the stimulants was 74%. Most of infected cases were young people between the ages of 25 to 36 years, with an infection rate of 35%. The study also showed that eating spices increased the risk of infection to 64%, however infection rate among men was higher than women at a rate of 55%, while the infection rate among women was 45%. On the other hand, study showed that the smoking was not significant, as 56% for smokers were infected, Also, the study indicated that there is no link between H. pylori infection and chronic diseases such as diabetes and blood pressure, as the results showed that 76% of the infected people do not suffer from any chronic diseases. It was also found that the two blood groups A and O are more prevalent among those infected with H. pylori bacteria, with a percentage of 31% for both types, followed by blood group B, with 26%, then blood group AB at 12%. More studies should be carried out to establish the risk factors and set a control plan.

Impact of knowledge management, innovation and cloud computing on research Adil Hayat; Jianhua Zhang; Ajaz Sadiq; Nibah Begum
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2270

This Review article delves into the intricate relationship between knowledge management, innovation, and cloud computing, and their transformative impact on research across diverse fields. Drawing upon a wide range of literature, the article critically assesses the potential of these technologies in reshaping the landscape of scientific research, social science research, business and management, and education. The review highlights key insights and findings that showcase the immense possibilities of cloud-based solutions in revolutionizing research practices, including real-time data sharing, enhanced collaboration, and seamless access to cutting-edge tools and resources. However, the article also acknowledges the complex challenges that come with the adoption and implementation of cloud-based solutions, such as data security and privacy concerns, and the high costs associated with transitioning to these technologies. Despite these challenges, the article concludes that the advantages of these transformative technologies far outweigh the obstacles and that they offer unprecedented opportunities to transform research practices, spark innovation, and catalyze groundbreaking discoveries

Use of Machine Learning to predict patient developing a disease or condition for early diagnose Moazzam Siddiq
International Journal of Multidisciplinary Sciences and Arts Vol. 1 No. 1 (2022): International Journal of Multidisciplinary Sciences and Arts, Article August 20
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i1.2271

Machine learning algorithms have shown promise in predicting the likelihood of a patient developing a disease or condition. Early diagnosis of diseases such as cancer, diabetes, and cardiovascular diseases can improve the patient's outcomes and quality of life. In this paper, we review the current state of machine learning algorithms for disease prediction and discuss their potential applications in clinical practice. We start by discussing the types of data used for disease prediction, including clinical data, genetic data, and imaging data. We then review the different types of machine learning algorithms used for disease prediction, including logistic regression, decision trees, random forests, and deep learning. We discuss the advantages and limitations of each algorithm and provide examples of their applications in disease prediction. Next, we discuss the challenges associated with implementing machine learning algorithms in clinical practice, such as data privacy concerns and the need for high-quality data. We also discuss the ethical considerations associated with the use of machine learning algorithms for disease prediction. Finally, we highlight the potential benefits of using machine learning algorithms for disease prediction, including improved patient outcomes, reduced healthcare costs, and personalized medicine. We conclude that machine learning algorithms have the potential to revolutionize disease prediction and early diagnosis, but further research is needed to address the challenges associated with their implementation in clinical practice.

The Effect of Water Weed (Pistia stratiotes) Bokashi on The Growth of Pakcoy (Brassica rapa L.) Makaruku, Marlita Herlin; Tanasale, Vilma Laurien; Kembauw, Esther; Wattimena, Anna Yuliana; Goo, Nureny
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2289

Fertilizers are very important nutrients added to plants. Bokashi fertilizer is an organic fertilizer that is very useful when applied to plants because it contains beneficial microorganisms that are able to provide plant nutrients through the recycling process and form a soil structure that is suitable for plant growth. This study aimed to determine the growth of pakcoy (Brassica rapa L.) by the application of water weed (Pistia stratiotes) bokashi. The research method used a Randomized Block Design (RBD) of two factors with three replications. The treatment factors consisted of water weed (Pistia stratiotes) bokashi doses of P0, P1, P2 and P3 (0, 10, 20, and 30 ton.ha-1), and bokashi time application of T1, T2 and T3 (14 days before planting, 7 days before planting, at the same time as planting). The size of the plot is 1 m × 1 m and in 1 plot there are 12 plants. Data observed in this study consisted of growth variables analysed using Analysis of Variance and continued with the Duncan’s Multiple Range Test (DMRT) at ? = 5%. Results of this study showed that the dose of bokashi water weed (Pistia stratiotes) treatment was 20 ton.ha-1 (P2), bokashi time application was 7 days before planting (T2), and the interaction gave a very significant effect on all growth observation variables including plant length, number of leaves, and area leaf.

HAMLET-BASED NUTMEG CULTIVATION AND PRODUCTION SYSTEM IN WEST SERAM DISTRICT, MALUKU, INDONESIA Wattimena, Anna Yuliana; Makaruku, Marlita Herlin; Mahulette, Asri Subkhan; Amba, Martha; Kembauw, Esther
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2300

Most of the nutmeg cultivation systems in Maluku are smallholder plantations. Agroforestry has long been developed in Maluku for generations known as dusung. Dusung can increase farmers' income continuously because the harvest is done weekly, monthly, yearly. The problems faced by farmers in Maluku regarding the productivity potential of nutmeg plants are caused by factors such as plant age, plant cultivation techniques and conventional processing. Based on these problems, a study was conducted to obtain data and information about hamlet-based nutmeg cultivation systems and productivity in Kairatu Barat District. The data and information are useful in the context of improving hamlet-based nutmeg cultivation systems in Kairatu Barat District, West Seram Regency in the future. The research uses survey methods and direct observation in the field. The selection of respondents was carried out by purposive sampling. Respondents amounted to 32 farmers. Sampling was carried out using Stratified Random Sampling, strata were determined based on the number of nutmeg plants per farmer and samples were taken randomly from each farmer. Data collected in the form of primary and secondary data. The research was carried out during the 2022 harvest season. The results of the research indicated that the cultivation system and production of nutmeg in West Kairatu District (Kamal village, Nuruwe, Lohiatala) is classified as low. Due to the number of nutmeg plants that produce began to decline. the seeds used as seeds still come from sweeping seeds. Control of Plant Destruction Organisms is carried out only when the plants start producing and fertilization is never done. Overall, the farmers in the research location cultivate hamlet-based nutmeg plants.

LEAK CURRENT DETECTOR IN LOW VOLTAGE NETWORK (JTR) SYSTEM USING ZMPT101B SENSOR BASED ON THE INTERNET OF THINGS (IoT) Laisina, Luwis H.
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2301

Phase-to-ground leakage in low-voltage network systems can cause transformer damage due to overload. Overloading on transformers is not caused by customer usage but rather by wasted electrical energy to the ground which causes losses. If there is a current leakage, the potential difference between neutral and ground is measured to produce a voltage value. Considering that there is little written about transformer damage caused by current leakage to ground in low voltage network systems, in this research a tool is made that can detect current leakage to ground in low voltage network systems using the ZMPT101B voltage sensor based on IoT. This research is in the form of design and manufacture of a leakage current detector to ground. The method used is the Research and Development method (research and development), namely in the form of observation, literature study. The research stage starts from a literature study in the form of finding references related to research, designing tools, making tools and programs, and testing the tools that are made. Based on the results of Based on the results of the research, this tool can detect leakage current to the ground from the lowest voltage of 24.3 Volts to the highest voltage of 184 Volts so that it can be displayed on the LCD and the blynk application and the system automatically sounds a buzzer as a warning of current leakage to ground. .

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Home Page

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Contact Name Muhammad Khoiruddin Harahap

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Phone +6282251583783

Journal Mail Official publikasi@itscience.org

Editorial Address Medan

Location Unknown, Unknown INDONESIA

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Contact Name
Muhammad Khoiruddin Harahap

Contact Email
choir.harahap@yahoo.com

Phone
+6282251583783

Journal Mail Official
publikasi@itscience.org

Editorial Address
Medan

Location
Unknown,

Unknown

INDONESIA