cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
Location
Unknown,
Unknown
INDONESIA
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
 30   31   32   33   34 
Comparison Of Radial Basis Function Neural Networks (RBFNN) And Autoregressive Moving Average (ARMA) Algorithms On Inflation Rate Prediction Models In Batam City Widya Reza; Febrya Christin Handayani Buan; Siti Nurmardia Abdussamad
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.v14i02.4713

Abstract

The inflation rate in the city of Batam from January 2023 to April 2024 continues to fluctuate, so an accurate prediction model is needed so that inflation control can be carried out optimally. In this study, we conducted a comparative analysis between the Radial Basis Function Neural Network (RBFNN) method and the Autoregressive Moving Average (ARMA) model in predicting the inflation rate. The data used is historical data on the inflation rate of Batam City from January 2009 to April 2024. The results of the analysis show that the RBFN method with an MSE value of 0.239 is able to provide a more accurate prediction compared to the ARMA model (2.3) with an MSE value of 0.246 in predicting the inflation rate in Batam City. This is due to the RBFN's ability to capture complex and non-linear patterns contained in inflation data. In addition, the performance of RBFNN is also affected by the number of neurons and the basis function used. Thus, the results of this study show that the RBFN method can be an effective and efficient alternative in predicting the inflation rate in Batam City.
Catalog Design As Information Medium On Ismail Multi Mandiri Convection Dian Vannysyah; Mubarak, Husni
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.v14i02.4753

Abstract

Ismail multi mandiri convection is a small scale industrial clothing production company, which is a place of manufacture of apparel, such as T-shirts, polo shirts, shirts, jackets, and pants. As an effort to provide information to potential consumers about the products owned. Therefore, the need for an effective and efficient information media in order to promote each product owned by convection Ismail Multi Mandiri. As a solution, a catalog is designed as an information medium that can explain the advantages of each product in convection. The design of the catalog design at convection Ismail multi Mandiri using qualitative methods through the data collection stage with the method of observation, interviews, documentation and literature studies. The results of the study contain about the company's history, vision, mission, and the process of making catalogs using Adobe Photoshop CC 2019 application and the explanation written below. The design of this catalog is expected to be an effective and efficient means of communication for convection Ismail M ulti Mandiri with consumers.
The Effect of Classical Music Therapy on Pain Intensity Pain in Post Appendicectomy Patients in Room Rose II General Hospital Bina Kasih Medan Arianus Zebua; Herianto Bangun
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

Music therapy is the use of music for relaxation to accelerate the healing, improve mental function and create a sense of prosperity, music has a biological effect on human behavior by involving specific brain functions such as memory, learning, motivation, and emotion. Pain is an important sensation for the body. The sensation of vision, hearing, smell, taste, touch and pain is the result of sensory receptor stimuli. Pain management as part of the nurse's care of the patient's response will differ between patients, Appendectomy is the appendix uplifted by an endoscopic procedure or approach, Appendixitis is a bacterial infection. The trigger factor is the lumen blockage caused by fecalite, lymphoid hypertrophy, dry barium, seed or intestinal worms.This research is quasi experiment, which is done to know the influence of classical music therapy to the intensity of pain in post appendectomy patients with 32 respondents, the method of data collection by way of way and direct observation of respondents, The analysis technique used is t-test with 95% confidence level.The results of this study indicate that to determine the effect of classical music therapy on the intensity of pain in patients post apendiktomi very real and close. Before performing music therapy the mean value of 2.59 after music therapy the mean value of 1.44 suggest to health workers especially to nurses At Bina Kasih General Hospital Medan to provide (Penkes) Health education to patients who experience pain post Apendiktomi.
Naive Bayes Method In Sentiment Analysis Of Presidential Candidates For The 2024 Election Using Python Vindua, Raditia; Nurhayati, Nurhayati
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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

Abstract

The 2024 Election in Indonesia is an interesting topic for social media users. Social media has a big impact in building public political opinions, views, sentiments and preferences. Many political figures have been nominated for President based on public opinion. There are various opinions of media social users with negative, positive and neutral sentiments. However, determining the sentiment of social media users requires quite a lot of effort and time. The large number of incoming opinions regarding presidential election candidates encourages the need for methods that help to see public opinion effectively. Python is a programming language that can be used to answer these problems. By providing a standard library that is open source and has a wide range of applications in various fields. Classification will be carried out using the Naïve Bayes Classifier to determine the level of accuracy of the classification process carried out. Sentiment analysis in this research is a process carried out to find out what the results of sentiment analysis are regarding the public's response to the presidential candidates for the upcoming 2024 election and classify them into three classes using the Naïve Bayes method using Python. The results of this research showed that Python carried out sentiment analysis with the sentiment percentage results for candidate Anies Muhaimin with a positive class of 64.91%, neutral 28.07% and negative 7.02% with a Naïve Bayes accuracy value of 75%. For candidate Prabowo Gibran, the positive class is 12.38%, neutral 6.67% and negative 80.95% with a Naïve Bayes accuracy value of 81%. Meanwhile, the candidate Ganjar Mahfud has a positive class of 40%, neutral 50.67% and negative 9.33% with a Naïve Bayes accuracy value of 60%. So that we can identify public opinion about presidential candidates for the 2024 election using the Naïve Bayes method using Python.
Design Of A Fiber Optic Sensor-Based Respiration Monitoring System Qulub, Fitriyatul; Alvie Aditya, Shabrina; Ama, Fadli; Pramudita Putra, Alfian
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

Human breathing rate is an essential marker for assessing one's health, especially regarding respiratory issues. Precise breathing measurements are vital in medicine as they help detect problems early and devise effective treatment plans. The use of fiber optic sensors to monitor breathing offers excellent potential in health monitoring, both medically and independently. Such sensors have advantages such as ease of manufacturing, high sensitivity, compact size, and affordable cost. In this study, a Singlemode-Multimode-Singlemode (SMS) optical fiber-based breathing sensor was designed by fitting it as a belt around the abdomen to measure abdominal breathing. This SMS sensor has variations in multimode length and wavelength used. Tests were conducted in sitting and standing positions, and the results showed the best performance of the SMS sensor at a multimode length of 3.5 cm with an accuracy rate of 99.2525%, linearity of 0.9997, and sensitivity of 2.9725 Hz/dBm. In addition, the standing body position provides 96.5% accuracy with a multimode length of 3.5 cm, while the sitting position provides 96.8% accuracy with a multimode length of 2 cm.
Physicochemical Characterization And Antioxidant Potential Of Powder Drink With The Combination Of Dayak Onion (Eleutherine Palmifolia) And Tempe Tika Pratiwi Khumairoh; Astawan, Made; Prangdimurti, Endang
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

Antioxidants play an important role in protecting body health. Sources of natural antioxidants that have not been widely developed are dayak onion and tempe. This research aims to evaluate the antioxidant properties and physicochemical quality characteristics of dayak onion powder dried using the spray dryer (SD) and fluidized bed dryer (FBD) methods and the best combination with tempe powder to produce drink powder. Specifically, this research examines the antioxidant capacity (IC50), total flavonoid content, and color characteristics of dayak onion powder dried using SD and FBD, analyzed with the Independent Sample T-test. The best product of dayak onion powder was dried using FBD instrument and obtained an IC50 antioxidant capacity of 9.16 ± 0.0a ppm, total flavonoids of 6.14 ± 0.04a mgQE/g, whiteness level of 60.6 ± 0 .13b, brightness of 65.3 ±0.16b, a+ of 13.5±0.10a, and b+ of 13.13±0.08b. Dayak onion powder was combined with tempe powder to produce a drink powder, which was evaluated for its physicochemical characteristics using the RAL method and Duncan's test. The best combination of powdered drink products is 40% dayak onion powder + 50% tempe powder, has an IC50 antioxidant capacity (662.95 ± 0.03c ppm) and total flavonoids (4.74 ± 0.04c mgQE/g), with chemical characteristics quality requirements Indonesian National Standard (SNI 7612-2011): protein  (32.02±0.35b  %w/w),  moisture (6.55±0.01b %w/w), ash (1.80±0, 00b %w/w), fat (17.32±0.01b %w/w), aw (0.23±0.01ab) and physical characteristics: viscosity (15.017±0.04b cP), solubility index (9.771 ±0.07b g/ml), bulk density (0.7145±0.00b g/ml) and sedimentation index (9.515±0.18b%).
Implementing Internet Of Things (IOT) Technology For Real-Time Detection And Monitoring Of LPG Gas Leaks Effendi, M Makmun; Zy, Ahmad Turmudi; Sanudin, Sanudin
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

The Currently, LPG (Liquefied Petroleum Gas) is a vital resource for many households in Indonesia, as highlighted by the government's initiative to convert from kerosene to gas as a cooking fuel. The widespread adoption of LPG is attributed to its affordability and efficiency. However, the flammable nature of LPG poses significant risks, particularly in the event of leaks, which can lead to explosions and fires. This research aims to develop a system that monitors and detects gas leaks in real-time to prevent such hazardous incidents. The proposed system utilizes Internet of Things (IoT) technology, incorporating MQ-6 gas sensors and Raspberry Pi to detect LPG leaks. The MQ-6 sensors are capable of identifying the presence of gas, while the Raspberry Pi processes the data and sends notifications in the event of a leak. The methodology includes literature reviews, user interviews, and data analysis to design an effective monitoring system. The results indicate that the system can accurately detect gas leaks and provide real-time alerts via SMS or a mobile application. In conclusion, this study demonstrates that an IoT-based monitoring and detection system for LPG leaks can significantly enhance safety by enabling prompt responses to gas leaks. This system not only benefits users by facilitating quicker leak management but also contributes to broader safety measures in residential and commercial environments.
Design For Monitoring Current And Voltage In Battery Charger Using NodeMCU Esp8266 Microcontroller And The Blynk Appdi Silampari Airport Lubuk Linggau–South Sumatra Muhammad Caesar Akbar; Mikael Angripa Saragih
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

At Silampari Airport there are frequent power outages not only 1 to 2 times a day and even experienced up to 4 blackouts. During the second blackout on the same day, the 550 kVA generator failed to start due to a voltage drop in the generator battery. This condition could result in disruption of the operational system at Silampari Airport.. Dbecause Silampari airport does not have a spare battery, so the voltage and current values of the battery must be detected, so that the generator does not fail to start. To monitor the battery and to find out the value of the battery input voltage, battery power and remaining battery power, a voltage and current monitoring design for the 550 generator battery charger is required. Kva.Presearch This method uses descriptive analysis and a qualitative approach. The result of this research is that a control system for regulating voltage and load current using NodeMCU ESP8266 based on the Internet of Things with the Bylnk platform has been realized. The design of the tool has been realized as a tool for monitoring battery charger voltage and current using the IoT concept by utilizing the main components, namely the voltage sensor, ACS712 current sensor, NodeMCU data processor equipped with an IoT module in the form of ESP8266.
Interpersonal Communication and Schizophrenia: Challenges and Barriers to Recovery Rahmi Aini
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

Interpersonal or interpersonal communication is communication between two or more people face to face which allows each participant to capture other people's reactions directly, both verbally and non-verbally. Interpersonal communication in question is a process of conveying carried out by a psychologist to patients suffering from the mental disorder Schizophrenia where the process of conveying messages is carried out directly or face to face so that the communicator and the communicant messages can interact with each other. directly , so that both get the same understanding and understand each other in depth. The research chosen by the researcher is descriptive research with a qualitative approach. The aim of this research is to find out how interpersonal communication patterns are carried out by psychologists and what challenges there are in the recovery process. So the research results state that, in communicating with schizophrenic patients, a psychologist needs to create a safe, comfortable and conducive situation to create good rapport. Apart from that, psychologists in carrying out interpersonal communication with schizophrenic patients need to understand communication ethics and have a high sense of empathy. Psychologists need to really understand how to communicate with schizophrenic patients based on the type of schizophrenia experienced by the patient. The response given by the psychologist as the comic actor really needs to make the schizophrenic patient feel safe and comfortable, so that by creating a relaxed, safe, comfortable and conducive atmosphere it will help in the patient's mental recovery process.
Sentiment Analysis System Of Bali Tourism Using Naive Bayes Algorithm And Web Framework Utami, Nengah Widya; Purnama, I Nyoman; Prayoga, I Made Ari
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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

Abstract

To obtain trends and impacts that may occur in the Bali tourism industry after the pandemic requires tourism actors to maintain the existence of the tourist beauty and culture they have. This research aims to develop a sentiment analysis system in the Bali tourism sector using the Naive Bayes algorithm and the Web Framework. This research stages carried out include Data Collection (Scraping), Data Cleaning, Feature Extraction, Modeling, and Web Platform Development. The data used was 2779 review data. The results show that most of the visitor reviews are in the "Very Positive" category, namely 1244. Next, 776 reviews are in the "Positive" category, 328 "Neutral”. The words that appeared most frequently included “place”, “walk”, “beautiful”, “nice”. The evaluation results show that the Bayes algorithm shows an accuracy value of 71%, which means Naive Bayes produces sufficient accuracy for sentiment analysis. In this research, we succeeded in developing a website with a web framework to predict the sentiment of a review in real time and it is hoped that it can help related parties understand and respond to reviews more effectively, improve the tourist experience, and advance the tourism sector in Bali.

Page 32 of 42 | Total Record : 420

 30   31   32   33   34 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 16 No. 01 (2026): Info sains, 2026 Vol. 15 No. 02 (2025): Info sains, Desember 2025 Vol. 15 No. 01 (2025): Informatika dan Sains , 2025 Vol. 14 No. 04 (2024): Informatika dan Sains , 2024 Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024 Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024 Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024 Vol. 13 No. 03 (2023): Informatika dan Sains , Edition December 2023 Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023 Vol. 13 No. 01 (2023): Jurnal Info Sains : Informatika dan Sains , Maret 2023 Vol. 12 No. 02 (2022): Informatics and Science, September 2022 Vol. 12 No. 1 (2022): March, Informatics and Science Vol. 11 No. 2 (2021): September, Informatics and Science Vol. 11 No. 1 (2021): March, Informatics and Science Vol. 10 No. 2 (2020): September, Informatics and Science Vol. 10 No. 1 (2020): March, Informatics and Science More Issue