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Contact Name
Paska Marto Hasugian
Contact Email
siskahhasugian@gmail.com
Phone
+6281264451404
Journal Mail Official
editorjournal@seaninstitute.or.id
Editorial Address
Komplek New Pratama ASri Blok C, No.2, Deliserdang, Sumatera Utara, Indonesia
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INDONESIA
Jurnal Info Sains : Informatika dan Sains
Published by SEAN INSTITUTE
ISSN : 20893329     EISSN : 27977889     DOI : -
Core Subject : Science,
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
Articles 420 Documents
Decision Support System For Selecting Rental Houses Using The Simple Additive Weighting Method (Case Study: Bojong Indah Village) Sri Rama Putri; Alfi Maulana
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

The The development of housing is currently growing quite rapidly, one of which is rented houses, the increasing population growth in Bojong Indah Village has caused the need for housing to continue to increase. Families in Bojong Indah Village are not only native residents, but there are also newcomers. Newcomers and local families need a place to live, such as housing, apartments, and rented houses. However, limited costs are often one of the reasons for not buying a house or apartment. So that rented houses become an alternative choice for the community. In selecting this rented house, the author determines his own criteria in selecting it, namely price, space, distance to the market, security, and parking space. The use of the Simple Additive Weighting (SAW) method in a decision support system is a problem-solving path that can handle this problem, where tenants will feel relieved by the existence of this decision support system by providing suggestions for rented houses that match the criteria quickly by inputting the criteria desired by the user. So that at the end of the process, the user will get a list of recommendations for recommended rented houses based on their input criteria.
Identification And Antioxidant Activity Test Of Graptophyllum Pictum L. Griff Var. Viride Leaf Extract Desi Fajrianti; Chaidir, Chaidir; M.Hanafi
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

Flavonoids are one of the compounds that are effective as antioxidants and function to protect against exposure to free radicals. One of the plants that contain flavonoid compounds is the leaves of Graptophyllum pictum L. Griff Var. viride. This study was conducted to determine phytochemical screening, total flavonoids, total phenolics, and antioxidant activity analysis contained in the leaves of Graptophyllum pictum L.Griff Var. viride. This type of research is an experimental exploratory research. Extraction by multistage maceration using three solvents namely N-Hexan, ethyl acetate and 96% ethanol, antioxidant activity test with DPPH method, total flavonoid test using aluminum chloride colorimetric assay method, and total ph enol test using Folin-Ciocalteu method from Graptophyllum pictum L .Griff Var. viride leaves. The results of extraction with 400 g of Graptophyllum pictum L. Griff Var. viride leaf simplicia with N-Hexan, ethyl acetate, 96% ethanol respectively produced 4.5 g, 3.9 g, and 41.5 g of thick extract. The IC 50 values of N-Hexan, ethyl acetate, and ethanol extracts were 317.70 µg/mL, 227.30 µg/mL and 231.86 µg/mL, respectively. The total flavonoid content of N-Hexan, ethyl acetate, and ethanol extracts were 8.03; 55.52; 25.61mg quercetin equivalents/g extract, respectively. The total phenol content of N-Hexan, ethyl acetate, and ethanol extracts were 19,164; 16,135; 27,251 mg GAE/g extract, respectively.
The Role Of Human Resource Management In Organizations Ading Rahman Sukmara
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

Human resources (HR) that play a role as the core of development. HR management addresses various management issues, ensuring effective use of HR through organizational systems. Overall, HR management is vital to achieving corporate goals. Human Resources in macro terms refer to the number of people in a country, but currently focus more on employees of an organization. HR includes individuals with skills and mental and physical strength, which are important in the development process of countries, companies, and organizations. Research methods involve statistical analysis, budgeting, innovation, and computer modeling to ensure that human resource planning is in accordance with institutional needs. Qualitative research is used to describe, explain, and analyze human resource phenomena, focusing on human attributes in business. Human resource adequacy also involves motivational factors, salary, and workplace comfort, as well as psychological contracts between individuals and organizations.
Decision Support System For Determining The Best Lecturers And Students In The Information Technology Study Program, UM Palembang Using The Multi Attribute Utility Theory Method Apriansyah, Apriansyah; Muhammad Alfatur Rakhman
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

Evaluation of lecturer performance and student achievement is an important step to maintain academic quality in higher education. The Information Technology Study Program at Universitas Muhammadiyah Palembang requires an efficient and objective system to select the best lecturers and students, considering their role in improving academic quality and institutional reputation. This study aims to develop a technology-based decision support system (DSS) to improve the automation and accuracy of the selection process. Using the Multi Attribute Utility Theory (MAUT) method, various assessment criteria are processed into standardized scores, allowing for objective assessment of lecturers and students. The Rapid Application Development (RAD) method is used in system development to ensure the process is fast and effective. This system is designed using various modeling diagrams, such as flowcharts, use case diagrams, and class diagrams, to ensure a clear, structured, and easily understood workflow for users, including administration and academics.The test results show that this system facilitates the selection process, reduces processing time, and minimizes errors that often occur in manual assessments. In addition, this system increases the transparency of assessments, provides objective, accurate, and accountable results, and encourages healthy competition among lecturers and students. The success of this implementation is expected to become a standard for periodic assessment in higher education. In addition, this system has the potential to be developed into a web-based application, which allows wider access for the entire academic community and increases the accessibility and effectiveness of the selection process in the future.
Enterprise Architecture Using TOGAF ADM to Support Smart Campus at STAI Raudhatul Akmal Rizky Rinaldi; Khairul, Khairul; Rian Farta Wijaya; Nasution, Darmeli; Siahaan, Andysah Putera Utama
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

The development of an academic information system to support the Smart Campus concept at STAI Raudhatul Akmal requires an effective enterprise architecture approach. This study adopts the TOGAF ADM method to design an enterprise architecture that can accommodate evolving academic and technological needs. The focus is on applying TOGAF ADM to analyze academic business processes and develop an integrated system implementation plan. Primary data sources include analyses of academic business processes at STAI Raudhatul Akmal, covering student admissions, teaching and learning, research, community service, graduation, and alumni services. Using TOGAF ADM’s eight phases—including vision architecture, business architecture, information system architecture, technology architecture, and change management—this study aims to develop a blueprint aligned with institutional needs. The analysis results indicate that the architectural blueprint includes a web-based information system, e-learning system, online grading system, and library system. The technology design covers network infrastructure and servers. The implementation governance and change management phases highlight the importance of systematic change management to ensure a smooth transition. This study recommends assessing institutional readiness and implementing all aspects of TOGAF ADM for a comprehensive design to effectively support the Smart Campus implementation at STAI Raudhatul Akmal.
Face Recognition Using Backpropagation Algorithm (Supervised Learning) Nainggolan, Nelson; Eliasta Ketaren; Harni Seven Adinata
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

Image processing plays a pretty important role. Much research has been carried out on image objects, where information from images can contribute to and benefit education, technological innovation, and information management. The face is a marker of recognizing someone. Facial recognition systems have difficulty with different facial orientations, lighting, haircuts, mustaches or beards, glasses, permanent blemishes or scars, and differences in conditions such as the person turning slightly, looking down, or looking up. The research aims to carry out digital image processing, specifically the process of scaling, grayscale, edge detection, and thresholding the image of a person's face as input. This research is crucial because image processing, especially facial recognition, is essential in health, education, economics, and security. The research uses the Artificial Neural Network method. Artificial Neural Networks are information processing systems designed to imitate how the human brain works in solving a problem by learning by changing the synapse weights. Research results in facial recognition using backpropagation show high accuracy and a fast average time. The suitability level of the recognition results depends on the combination of parameter values ​​used in the learning process. The greater the epoch (repetition), the greater the learning rate; the smaller the error, the higher the known level.
Mobile Android-Based Snack Food Production Management Information System (A Case Studi Of Mirasa Gendhis Sriyanti Tape Candy Factory) Titi, Niken; Ardiani, Farida
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

The snack industry, including the Mirasa Gendis Sriyanti Candy Factory in Magelang, faces various operational issues such as ineffective stock control, overproduction risks, and discrepancies between production processes and market demand. These challenges often lead to excess stock, inefficient costs, and financial losses. As a small business, the factory needs to adopt modern technological solutions to improve operational efficiency, particularly in production and inventory management. This study focuses on developing a mobile-based Production Management Information System called Sweet Candy for the factory. The application utilizes Firebase as its backend for real-time data storage, facilitating efficient management of production, scheduling, inventory, and reporting tasks. The system is built using Android Studio and Kotlin, offering features such as input for production requests, scheduling, and monthly reporting. Black box testing confirmed that the application meets the necessary requirements and performs as expected. This study contributes to the digitalization of small and medium-sized enterprises (SMEs) by presenting an innovative approach to production management.
System Information Vacancy Work In Palembang City Based On Codeingiter Framework Muhammad Fauzan Ar-raafi; Dedi Haryanto; Apriansyah, Apriansyah
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

The rapid development of information technology has encouraged various sectors, including the world of work, to adapt to more modern and efficient systems. Accurate data management and the use of technology such as computers are now a must, especially amidst the demands of globalization and economic dynamics. In this context, websites emerge as relevant media for conveying information, including job vacancies. Currently, the challenges in finding jobs and meeting workforce needs are major problems experienced by many levels of society. Although the recruitment process has been digitized, there is still a gap between the number of vacancies available and qualified job seekers. To overcome this obstacle, the development of a web-based job vacancy information system is considered an effective solution. This system accelerates the dissemination of job vacancy information and facilitates access for job seekers and companies in the recruitment process. This study uses direct observation methods at the Palembang Multipurpose Building and literature studies from various literature for system development. This system is designed using the SDLC model, including the Waterfall and Agile methods, which ensure a structured and flexible development process. The results of this study indicate that the implementation of a web-based job vacancy information system can improve recruitment efficiency, provide wider access for job seekers in Palembang, and help companies get suitable candidates. This system is expected to be an effective means of connecting applicants with job opportunities more easily, quickly and efficiently.
Dashboard To View Petroleum Import Comparison Sumana, Axcel Lorensius; Tri Sutrisno; Irvan Lewenusa
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

Petroleum is a strategic commodity with an important role in the economy, widely used in the transportation, industrial, and household sectors. In Indonesia, although there are petroleum reserves, domestic production is often insufficient to meet needs. Therefore, importing petroleum products is the main solution. Petroleum product import data covering the volume and value of various types of products is important for strategic decision making in the energy sector. This study aims to design a dashboard that can visualize import data for each petroleum product in real-time, interactively, and easily understood, thus facilitating analysis and supporting better strategic decisions. This dashboard helps users monitor import trends, compare data, and understand national energy needs. As a result, the dashboard is able to display import trends and comparisons interactively based on volume, value, product type, and specific time periods.
Design Of Food Price Analysis Dashboard In Jakarta Salim Susanto; Dedi Trisnawarman
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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This research discusses the fluctuation of food prices in Jakarta is a complex problem and requires accurate and real-time monitoring to support decision making by the government, traders, and consumers. This research aims to design an interactive dashboard that can effectively visualize food price data and present relevant Key Performance Indicators (KPIs). The dashboard is designed by integrating various data sources such as food prices in traditional markets, inflation rates, and price comparisons between regions in Jakarta using the Time Series Analysis method. The Time Series Analysis method is used to analyze data over time, which is a set of observation values obtained at different times with the same interval. Determining key KPIs, such as daily average price, percentage price change, and monthly fluctuation trend, is the main focus in this development. The dashboard was also designed with user experience and multi-platform accessibility in mind. The result of this research is a design that can demonstrate that the dashboard can assist stakeholders in monitoring food prices more efficiently and provide critical information needed for strategic decision-making related to price stability and food policy. With intuitive visualization and real-time data, the system is expected to be an important tool in supporting food security in Jakarta.