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International Journal of Engineering, Science and Information Technology

ijesty
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Published by Universitas Malikussaleh

ISSN : - EISSN : 27752674 DOI : -

Core Subject : Science, Education, Social, Engineering,

Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 17 Documents

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Search results for , issue "Vol 2, No 3 (2022)" : 17 Documents clear

Forecasting Model Of Arabica Coffee Export Demand With Decomposition Method On CV. Gayo Coffee Oro Syarifah Akmal; M Sayuti; Muhariani Hasibuan
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Coffee is one type of plant that has a harvest season in certain months, while the amount of coffee export demand is always there even though it is not in the coffee season. So that the company is often unable to meet the demand for coffee exports. This study aims to find out how the use of the decomposition method in forecasting the demand for Arabica coffee exports and also to find out the results of forecasting the demand obtained. This study uses a quantitative approach, which was conducted at CV. Oro Kopi Gayo is located in the Gayo highlands, precisely in the Mongal Village, Bebesen District, Central Aceh Regency. The data used in this study is secondary data, namely data on Arabica coffee export demand from 2017 to 2021. The results of forecasting coffee export demand using the decomposition method in 2022, which is 1754216 kg, have increased when compared to demand in 2021, which is equal to 1536000 kg with a percentage increase of 14%. Demand for coffee exports in January was 160192 kg, February was 172445 kg, March was 146829 kg, April was 76822 kg, May was 88583 kg, June was 106127 kg, July was 129510 kg, August was 45472 kg, September was 45472 kg 269457 kg, October 225509 kg, November 239090 kg, and December 94090 kg. The highest demand for Arabica coffee exports occurred in September, amounting to 269457 kg, in November at 239090 kg, and in October at 225509 kg. Then it decreased again in December, which was 94090 kg. The increase and decrease in the repetitive data pattern indicate that the data has a seasonal pattern.

Information and Communication Technology Competencies Clustering For Students For Vocational High School Students Using K-Means Clustering Algorithm Muhammad Faisal; Nurdin Nurdin; Fajriana Fajriana; Zahratul Fitri
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The k-Means Clustering algorithm is intended to partition data into one or more groups, where data that has similarities in one group and data has differences in another. Information and Communication Technology (ICT) Competency data clustering in educational units is considered necessary to facilitate educational facilitation based on the differences in student abilities, determine advanced ICT guidance groups and become a reference in determining the place of Industrial Work Practices (Prakerin). This study aims to find out how the K-Means Clustering algorithm can be applied in clustering the ICT competencies of students at the State Vocational High School (SMK) 3 Lhokseumawe. The benefits generated in this study are in the form of visualization of data clustering that can help teachers and school management in formulating ICT policies at SMKN 3 Lhokseumawe. The data used in this study is the Information and Communication Technology (ICT) competency test score data for the 2021/2022 academic year. The data was obtained through a competency test process that refers to the Minister of Education and Culture Regulation Number 45 of 2015 concerning the Role of ICT/KKPI Teachers in the Implementation of the 2013 Curriculum where ICT competence includes the skills to search, store, process, present and disseminate data and information. Data processing in this study uses the K-means Clustering method and the RapidMiner application. Data processing using the RapidMiner application starts with data preparation, determining the number of clusters, and configuring the method. This study uses 3 (three) cluster configurations, namely the Very Competent, Competent, and Less Competent clusters. Testing data processing using the RapidMiner application resulted in 80 (eighty) students in cluster_0 with a Very Competent rating, 64 (sixty-four) students in cluster_1 with a Competent rating, and 10 (ten) students in cluster_2 with a Less Competent rating.

Application of Artificial Intelligence SSD MobileNet and Tiny YOLOv2 for Food Recipe Search Heri Purwanto; Aldi Novriadi; Fatah At Thariq
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Recipes are guides to making something together with notes on ingredients and their amount. To be able to make food, of course, the cook must prepare the ingredients in advance to be processed into ready-to-eat dishes. Often people have a lot of food ingredients but don't know how to process them. Cooking without seriousness, of course, some people fail when making a dish. Back then, people depends on recipe that was passed down from generation to generation. Now, the digital world is growing rapidly. Anything can be done with increasingly modern technology. Everything needed is accessible with today's technology. Everything is so easy, including the matter of food. Even so, in this digital era, people use smartphones but still cannot use them properly. Many of them use search engines so they need to sort out which are real recipes and which are just random recipes. The purpose of this study is to help people find recipes by taking photos of food ingredients and then finding out what can be made from these ingredients. This technique uses Artificial Intelligence (AI) with MobileNet and Tiny YOLOv2 SSD modules. The design uses the Unified Modeling Language (UML). The study used experimental methods to test the accuracy of the AI used. Data collection will be utilizing a literature study. This research uses agile for system development. Test results show that the SSD MobileNet model has a guessing accuracy of 77%, while Tiny YOLOv2 is 81%. The guessing accuracy might get higher if good camera quality is used

The Effect of The Use Of Foam Agent and Clam Shell Powder on The Compressive Strength and Absorbency of Concrete Teuku Ikmal; Sari Indah Manik; Khairullah Yusuf; David Sarana; Amalia Amalia
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

A foaming agent is a concentrated solution of surfactant material that must be dissolved in water before mixing with other concrete material. The foaming agent is used to produce lightweight concrete with a density is £ 1.900 kg/m³. Using foam agents may affect the compressive strength and absorbency of the concrete. Hence, adding clam shells is expected to improve the compressive strength of the foam concrete. In addition, it is also essential to investigate the effects of utilizing foam agents and clam shells on the density of the foam concrete. Nine concrete mixes namely 1 variation of standard concrete, four variations of concrete mixes with foam agent, and four variations of concrete with foam agent and calm shell have been studied to investigate the parameters.The variation of foam agents in the eight concrete mixes were 5%, 10%, 15%, and 20% by water weight. The last four variations contained clamshell of 5% by weight of fine aggregate. The foam agent wasfoamingduced by mixing with a ratio of water and foam agent of 40:1. The experimental results show that at the variation of 20% foam agent, the density reduced by 34.55% and 26.89% for foam concrete with and without clam shell compared to normal concrete. I contrast, adding clamshell also lowered down the compressive strength of foam concrete by 79.86% and 74.96% for the variations. Meanwhile, the highest absorption rate of 1.65% or increased about 6.45% from normal concrete occurred at a variation foam agent of 15% mixed with clamshell. It was concluded that the use of clam shell in the foam concrete seems to decrease the strength of the foam concrete. However, in terms of density, the use of clam shells benefits foam concrete by lowering the self-weight of concrete.

Nomophobia (No MObile PHone PhoBIA) Among Medical Students: A Literature Review Sri Wahyuni
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Smartphones have become more popular due to advances in high-speed Internet connectivity. Smartphones are popular among young people, including medical students, as virtual devices. As a result, excessive use of smartphones has expressed concerns about its addictive potential, a condition known as nomophobia. Nomophobia (No MObile PHone PhoBIA) is the worry or fear people feel when they do not have their mobile phone or are unable to use it. The term was introduced in 2008 and is considered a modern phobia. Nomophobia is also a general pathology among students, particularly those in medicine. This literature review examines the prevalence of nomophobia, symptoms, causes of nomophobia among medical students, and the impact of nomophobia on student achievement. Existing literature on nomophobia in the PUBMED and Google Scholar databases was examined using the search terms ‘nomophobia’ OR ‘mobile phone use’ OR ‘mobile phone addiction’ AND 'medical students.' Several studies have found that medical students have nomophobia. More than 50% of medical students in this review have moderate nomophobia, while 5-20% have severe nomophobia. The most common symptoms of nomophobia were anxiety, agitation, tachycardia, inability to turn off the mobile phone, constantly checking the phone, charging the battery even when the phone is nearly fully charged, fear of not being able to connect to a data network, concerns about being removed from online status or identity, and avoid activities to spend time on a mobile device. Students with severe nomophobia reported poor academic performance; students with a higher level of nomophobia performed poorly academically and vice versa. Medical students had a greater incidence of addiction to mobile phones, which affected their health and academic achievement. More emphasis should be placed on early detection and intervention to overcome nomophobia.

Infrastructure Model Volunteered Geographic Information Social Assistance Program To Support eGovernment Case Study of Central Aceh District Hendri Syahputra; Alfitra Alfitra
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The government's role in providing social assistance to reduce poverty has been going very well. However, in practice, there are obstacles to collecting and verifying data on prospective beneficiaries, so fast, precise, and accurate information is needed through the participation of the Community or Community to provide information regarding potential beneficiaries—social assistance. This study's goal is to create and develop a model of the Volunteered Geographic Information (VGI) system involving the participation of the Community to determine the effectiveness of the distribution of social assistance by the government and to support the role of a transparent government or good government. This research method is descriptive research with quantitative and qualitative descriptive approaches. This system also refers to the design, development, and stages of the VGI system process suitable for a crowd or community-based approach. The expected result is a VGI-based geographic information system: First: Collect and observe data on social assistance recipients in Aceh Tengah district, Aceh Province. Second: Designing and implementing a VGI-based geographic information system. Third: System testing through two stages: system functional and non-functional testing. The final results of this research are a web-based VGI Social Assistance system model and, for volunteers, the Android-based VGI Social Assistance application.

Effect of Media Type and Storage Duration on Viability of Cocoa (Theobroma cacao L.) Seeds Abdul Rahman; Syahbudin Hasibuan; Dwika Karima Wardani; Agus Ardi
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

This study aims to determine the best storage media and storage time for cocoa seeds. The research was carried out at the Plant Physiology Laboratory, Faculty of Agriculture, Medan Area University. The analytical method used is Completely Randomized Design (CRD) with treatments, namely No Storage Media, Use of PE Plastic Storage Media + 1 Week Storage, PE Plastic + 2 Weeks Storage, PE Plastic + 3 Weeks Storage, Aluminum Foil Paper + 1 Week Storage, Aluminum Foil + 2 Weeks Storage, Aluminum Foil Paper + 3 Weeks Storage, Burlap Sack + 1 Week Storage, Burlap Sack + 2 Weeks Storage, Burlap Sack + 3 Weeks Storage, Glass Bottle + 1 Week Storage, Glass Bottle + 2 Weeks Storage , Glass Bottle + 3 Weeks of Storage, a total of 12 treatments with 3 replications. The data were analyzed statistically with the F test at a 5% significance level. If F Count is greater than F Table 5%, then it is continued with the Duncan' New Multiple Range Test (DNMRT) at a level of 5%. The results showed that the treatment on several storage media had a significant effect on the simultaneous growth of cocoa seeds. And the length of time for storing seeds for one week was significantly different, there were parameters for observing seed germination, seed growing simultaneously and seed growing speed.

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Dahlan Abdullah

Contact Email
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+62811672332

Journal Mail Official
ijestyjournal@gmail.com

Editorial Address
Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351

Location
Kota lhokseumawe,

Aceh

INDONESIA

Abstract

Abstract

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Abstract

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Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Dahlan Abdullah

Contact Email dahlan@unimal.ac.id

Phone +62811672332

Journal Mail Official ijestyjournal@gmail.com

Editorial Address Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351

Location Kota lhokseumawe, Aceh INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Dahlan Abdullah

Contact Email
dahlan@unimal.ac.id

Phone
+62811672332

Journal Mail Official
ijestyjournal@gmail.com

Editorial Address
Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351

Location
Kota lhokseumawe,

Aceh

INDONESIA