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Jurnal Info Sains : Informatika dan Sains
Published by SEAN INSTITUTE
ISSN : 20893329     EISSN : 27977889     DOI : -
Core Subject : Science,
Computer Science & IT
urnal Info Sains : Informatika dan Sains (JIS) discusses science in the field of Informatics and Science, as a forum for expressing results both conceptually and technically related to informatics science. The main topics developed include: Cryptography Steganography Artificial Intelligence Artificial Neural Networks Decision Support System Fuzzy Logic Data Mining Data Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 420 Documents
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The Influence Of Problem-Based Learning Strategies And Learning Styles On Mathematics Learning Outcomes Class V Students Of State Private Primary School Datuk Fifty Batubara District Elvi Nurhayati Selian; Efendi Napitupulu; Tian Abdul Aziz
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4418

Abstract

The research aims to determine the differences in student learning outcomes taught using problem-based learning strategies with expository learning in class V of SD Negeri Datuk Limapuluh District, Batubara Regency. Differences in learning outcomes of students who have visual, kinesthetic and auditory learning styles in class V of SD Negeri Datuk Limapuluh District, Batubara Regency. The interaction between learning strategies and learning styles on student learning outcomes. Based on the results of the ANOVA test, the value obtained was sig=0.036<sig.0.05, thus proving that there was an interaction between learning strategies and learning styles on student learning outcomes. The sample was determined as 60 people consisting of 2 (two) classes. The research design used in this research is experimental. There are differences in learning outcomes for students who have visual, kinesthetic and auditory learning styles in class V of SD Negeri Datuk Limapuluh District, Batubara Regency. There is an interaction between learning strategies and learning styles on student learning outcomes. Based on the results of the ANOVA test, the value obtained was sig=0.036<sig.0.05, thus proving that there was an interaction between learning strategies and learning styles on student learning outcomes.
Random Forest Analysis In Classifying Orange Quality Data Suci Ramadhani; Muslimin B; Ida Maratul Khamidah
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4420

Abstract

The quality of oranges is important to determine selling value. However, citrus quality assessments are often subjective and inconsistent, which can impact consumer satisfaction and market efficiency. In the agricultural industry, especially in citrus commodities, there are difficulties in classifying fruit quality accurately and efficiently, which has an impact on the assessment and determination of market prices. Given the importance of citrus quality in the agricultural and food industries, there is an urgent need for objective and efficient methods for classifying citrus quality. Inappropriate classification can cause economic losses for farmers and distributors, as well as reduce consumer satisfaction with product quality. As a solution, this research proposes the use of the Random Forest method to classify orange quality data. The method used in this research involved collecting orange quality data, including characteristics such as color, texture, and size. This data is then analyzed using the Random Forest algorithm. The Random Forest method is used to process orange quality data, by utilizing features such as color, size and skin texture. This model is trained using historical data to predict fruit quality. The research results show that the Random Forest method successfully classifies citrus quality data with high accuracy, demonstrating its potential as an effective tool for future citrus quality assessment by proving its effectiveness in supporting decisions in the agricultural sector.
Augmented Reality Introduction To Cirebon Mask At Setia Darma Mask House Gianyar Ariantini, Made Suci; Rajasyah, Alfatino Yohan; Ariasih, Ni Kadek; Indradewi, I Gusti Ayu Agung Diatri; Parwita, Wayan Gede Suka
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4493

Abstract

This research aims to explore the application of Augmented Reality (AR) technology in the context of introducing Cirebon Masks at the Setia Darma Mask House, Gianyar using Marker Based. Cirebon masks have high cultural and artistic value in traditional Indonesian art, and the Setia Darma Mask House is an important place in introducing and preserving this art to the wider community. Using AR as a tool, this research investigates ways in which this technology can be used to provide visitors with an interactive and immersive learning experience about Cirebon Masks. The research methodology involved developing a custom AR application that allows users to see, hear, and interact with a virtual representation of the Cirebon Mask. Data was collected through observation, interviews and literature study to evaluate the effectiveness of the application. From the test results of 8 tests on the menu in the system using the black box testing method, the system is in accordance with the expected results, namely there are no errors when the system is used. the results of usability testing with the values obtained, namely Application Learnability is 89.4% which means Very Good, Efficiency gets 89.8% which means Very Good, Memorability gets 91.7% which means Very Good, Error gets 63.7% which means Fairly Good and Satisfaction gets 90, 1% which means Very Good
Development Of Smartphone Based Physiotherapy Service Applications Pristianto, Arif; Susilo, Taufik Eko; Faizah, Zulfa Nur; Aranti, Wulan Adis; Rifandi, Reza Aristo
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4494

Abstract

The role of communication technology between individuals is increasingly developing and has various ways and methods. One of the health services is physiotherapy which provides the latest innovations such as the emergence of the term telephysio. Telephysio is the development of a remote monitoring system to facilitate independent rehabilitation of patients in their own homes. The large number of people using smartphones has made the development of applications increasingly sophisticated, especially applications in the health sector. Objective of this research is to make physiotherapy services easier for users with applications on smartphones. This research model was carried out using the R&D (Research and Development) method which was carried out up to the trial and application function testing stages. the application was assessed by two experts in the field of technology and physiotherapy services. Test results show that the existing features and menus provide ease of use and effectiveness in helping patients find and obtain physiotherapy services. Based on the results that have been carried out by expert judgment and trials of smartphone-based physiotherapy service applications, it has been found that the application can be used and is quite suitable for use according to its function, although there are still many shortcomings and things that need to be considered for further development and research
Balancing Act: Integrating Qualitative And Quantitative Data Driven For Recruitment And Selection Process Paudel, Ram; Sanaz Tehrani; Alex Sherm
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4545

Abstract

The research in question delves into the intricate realm of recruitment and selection methods, examining the relationship between qualitative and quantitative approaches. It delves into specific scenarios where each method shines, underscoring the importance of flexibility and integration in decision-making processes. Through a thorough examination, the study underscores the advantages of amalgamating qualitative insights with quantitative data to attain a comprehensive candidate evaluation. By addressing biases and subjectivity, this technique seeks to enhance the fairness and efficiency of recruitment and selection procedures. Ultimately, the research contributes to a broader comprehension of how organizations can fine-tune their recruitment strategies to meet the evolving demands of the job market while ensuring impartial and well-informed decision-making.
Control of Changes in the Function of Residential Houses to Business Buildings in Urban Areas Ernawati, Ernawati; Susetya Herawati; Budi Supriyatno
Jurnal Info Sains : Informatika dan Sains Vol. 11 No. 2 (2021): September, Informatics and Science
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The limitation of land and its expensive cost in urban areas led to the invasion of commercial functions into the settlement area. The transformation of housing into business buildings is due to population growth within the city and increased activity, where land remains constant so that it cannot accommodate the needs of urban communities. Among these phenomena is the doubled use of housing – for housing and business – to secure additional income/economic boost for the family. As a result, space layout patterns are uncontrolled, and the functions set in the space plan are not achieved. This, in turn, has interfered with the activity and comfort of the environmental functions of the Hunian as a decent Huni. This research aims to produce a formula for the control of the movement of housing functions into business buildings, where the change of the housing function to business building has taken place since 2008 when Law No. 51 of 2008 on the Establishment of the City of Southern Tangerang as an Autonomous District. The method used is a qualitative and quantitative approach with overlay analysis, descriptive analysis, policy analysis and monitoring and control analysis relevant to the intensity of space utilization. (karakteristik nilai tanah, kelengkapan utilitas, aksesibilitas tanah, karakteristik pribadi pemilik tanah, aturan penggunaan tanah, inisiatif bangunan komersial). The uncontrolled change in the function of the residential house into the building of the business building caused a lack of spatial arrangement along the main street corridors in the housing area as a residential place in the urban area caused by the presence of the factors.
Development Direction of Muara Gembong Coastal Area Based on Abrasion Vulnerability Analysis Firman, Firman; Kasman, Kasman; Zefri, Zefri
Jurnal Info Sains : Informatika dan Sains Vol. 10 No. 2 (2020): September, Informatics and Science
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abrasion in Muara Gembong District has resulted in changes in the coastline, reaching 3,852 m. Abrasion causes physical, environmental, social, and economic changes, as well as changes in the lives of local people. This study aims to analyze the level of vulnerability due to abrasion in the coastal area of Muara Gembong. This study uses the AHP method to determine the weight of factors influencing vulnerability due to abrasion by involving stakeholders as respondents. Giving value weights to criteria and alternatives, then pairwise comparisons of each stakeholder's opinions. Using proximity analysis techniques, vulnerability zone analysis was carried out using kernel density analysis techniques and analysis regarding the distance from the coast to settlements. The analysis technique using Weighted Overlay is carried out to determine the vulnerability zone based on the results of the factor weight assessment. From the results of the analysis, the factor that has the greatest influence on the vulnerability of the Muara Gembong coastal area due to abrasion is the environmental factor; this shows that if there is environmental damage, especially damage to protected forests and mangrove forests, it will accelerate the process of coastal abrasion. The analysis results show that 85.10% of the coastal area of Muara Gembong is in the moderate vulnerability zone, 14.25% is in the high vulnerability zone, and 0.65% is in the low vulnerability zone. The results of the superimpose between the spatial pattern plan of Muara Gembong District and the Vulnerability Map show that the directions for developing activities for cultivation areas dominated by residential activities are in high and medium vulnerability zones. In contrast, low vulnerability zones are directed toward developing non-settlement cultivation areas.
Carbon Footprint Analysis Of Food Waste From Restaurants In Bogor City Fernandez, Yohana Bharagita; Ardiatma, Dodit; Ilyas, Nurilman
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4607

Abstract

Restaurants are Indonesia's biggest producers of trash since they provide meals every day, which contributes to a rise in food waste. The purpose of this study was to examine the quantity and kind of food waste produced by large-scale restaurants in Bogor City, as well as the carbon footprint that this garbage leaves behind. Additional evaluation of the impact of food waste output and composition on CO2 emissions was done in this study. This study separates edible food waste from non-edible food waste using a sample technique based on Waste Composition Analysis (WCA). The emission factor is calculated in order to determine the carbon footprint. According to the study's findings, which included 120 samples from three restaurants in Bogor City, the average daily production of food waste from the simple payakumbuh, pagi sore, and bumi aki restaurants in Bogor City was 4,239.70 g/plate, and the average daily generation of edible food waste was 12,026.70 g/org. It is made up of 14.3% foods high in protein, 40.1% fruits and vegetables, and 45.6% foods high in carbohydrates. Produce (40.1%): fruits and vegetables; foods high in protein (14.3%). Pagi Sore generates the least amount of edible food waste (988 g/org/day), whereas Payakumbuh restaurant produces the most (26,834 g/org/day).
Big Data Challenges And Opportunities In The Development Of Digital Technology Dara Sawitri
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4619

Abstract

At this time big data, with large data volumes that continue to grow and become complex, is a challenge and opportunity for governments and organizations. This is said to be a challenge considering that the increase in data volume will produce a lot and variety of information, thus requiring efficient ways of storing and managing data. Big data is said to be an opportunity considering that the magnitude of the study results and proper information management will open up new opportunities to recognize the potential for improving services in various government and organizational sectors. Big data can open up opportunities to increase knowledge about various aspects of people's lives so that it can encourage the creation of new trends and innovations in various fields, improve and optimize operations, and determine future conditions so that governments and organizations can produce appropriate basic products. In the future, big data will change the way governments and organizations run their operations, creating challenges and opportunities for decision-makers. Even so, in the future big data can be utilized more optimally for the benefit of the wider community. In the future, big data has great potential to be used in many sectors to improve people's welfare. By using the right methods, big data can be very valuable in improving the welfare and quality of life of the wider community. Therefore, to be able to implement big data to improve the welfare and quality of life of the wider community, it is necessary to understand the challenges and opportunities of big data in the development of digital technology.
Forecasting The Export Value Of Indonesian Footwear Using Arima And Fuzzy Time Series Lee Methods Mira Zayan; Wellie Sulistijanti
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4669

Abstract

Industrial sector exports have a large contribution to total exports in the Indonesian economy. A forecasting model is needed that is able to forecast the export value of the industrial sector well. The data used in this study are monthly data on the Export Value of Indonesian Footwear. The ARIMA method can forecast data well linearly but has a decrease in accuracy for data with nonlinear components. Lee's Fuzzy Time Series method is good for nonlinear data and has a level of accuracy that is easy to understand. The ARIMA method requires assumptions to be met such as the data must be stationary, then the Fuzzy Time Series Lee method can be used for non-stationary data, because the Fuzzy Time Series Lee does not require certain assumptions to be met. The results of forecasting the value of Indonesian footwear exports using ARIMA have a MAPE value of 18.5% with good criteria, the Fuzzy Time Series Lee method has a MAPE value of 18.2% with good criteria, so it can be used to forecast the value of Indonesian footwear exports for the August 2023 period of 46,563,984 USD. The forecasting results can be a reference for future policy making.

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