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INDONESIA
International Journal of Natural Science and Engineering
ISSN : 26151383     EISSN : 25496395     DOI : -
Core Subject : Engineering,
International Journal of Natural Sciences and Engineering (IJNSE) is an independent, quarterly basis online & print version, open access, peer reviewed, non-profit journal that publishes original research, short communications, review articles or essays, and book reviews relevant to Natural Sciences and Engineering. IJNSE is published by the Universitas Pendidikan Ganesha (Undiksha), Indonesia.
Arjuna Subject : -
Articles 5 Documents
Search results for , issue "Vol. 5 No. 2 (2021): July" : 5 Documents clear
A Swear Word Detection System in SKPD Website Content of Bali Province Government Melinda, Ester; Parwita, Wayan Gede Suka
International Journal of Natural Science and Engineering Vol. 5 No. 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.079 KB) | DOI: 10.23887/ijnse.v5i2.21942

Abstract

The website is one of the information service systems needed by the community to carry out various public service activities. It's just that it is necessary to do a word-checking process on the website to avoid swear words, especially on government service websites. Checking swear words on the website takes a long time, done by reading every website content that the admin will add. So we need a system that can check swear words on the website. The purpose of the research is to simplify detecting swear words on the SKPD website. In this study, a system was designed and built that can detect swear words when the admin adds and changes website content and validates criticism and suggestions that visitors have added by implementing text mining. This study uses the Nazief and Adriani algorithms for the stemming process and the Term Frequency algorithm for the weighting process. The test method used is accuracy measure. From the test results, the accuracy value is 88%, precision of 78.57%; recall of 100%; and f measure by 88%. The results obtained have not been maximized because the system has not been able to read the sentence structure, so that a word that should not be used as a swear word in a document/text becomes detected by the system as a swear word, for example, the word dog detected in the text of the news about rabid dogs.
Prototype of Water Quality Monitoring for Grouper Fish Pond Based on Microcontroller Arduino Rizal, Fahrul; Santyadiputra, Gede Saindra; Pradnyana, Gede Aditra
International Journal of Natural Science and Engineering Vol. 5 No. 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.17 KB) | DOI: 10.23887/ijnse.v5i2.32702

Abstract

Prototype monitoring of grouper pond water quality is intended to improve the water quality of grouper ponds if there is a change in air quality such as acidity, air temperature, and air turbidity level, which can be caused by fish or fish that can be used on fish breathing fish that can make fish become stressful and cannot multiply properly and can cause death in fish. To overcome these problems, a technology that can be studied and controlled according to the standards is needed. It can also facilitate pond farmers to facilitate pond air quality and the automation of standardization of water quality indicators. This development uses internet-related matters in data communication between prototypes with farm farmers. The development model used is prototyping. For the testing process, (3) trials are conducted: (1) evaluation testing, with test results, prototypes, get a percentage of 100% with a very effective category. (2) validity testing, with a margin of error of 4.38% and the overall sensor test results under 4.38%. (3) practically test, obtained by the results of 92.2% of respondents stated that monitoring of this prototype is very practical.
Web-based Patient Queuing System and Automatic Notification via WhatsApp Framework Codeigniter Arnoldus, Arnoldus; Suprihadi, Suprihadi
International Journal of Natural Science and Engineering Vol. 5 No. 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.244 KB) | DOI: 10.23887/ijnse.v5i2.36766

Abstract

At present, the benefits of website-based information systems have been widely felt, but there are still many agencies that have not properly utilized the existence of technology. One of the systems that need to be developed in the health sector is giving queue numbers to patients. This study aimed to determine the effectiveness of the web-based patient queuing system and automatic notifications through the WhatsApp framework Codeigniter. The subjects involved in this study were patients who would take a queue number at the clinic. Data collection in the study was carried out by observation and interview methods. The research data were then analyzed using descriptive analysis techniques, namely by describing various findings in the field, which were then linked to the results of previous studies. The system development results show that the system’s success rate for giving queue numbers to patients reaches 100%, and the natrian number reminder system also gets a success percentage of 100%. These results indicate that the queue number system has been successfully developed to help patients search for queue numbers.
Android-Based Learning Media for Vocational High School Students Siregar, Bina Jaya; Ndruru, Liberlina; Tamba, Saut Parsaoran
International Journal of Natural Science and Engineering Vol. 5 No. 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.073 KB) | DOI: 10.23887/ijnse.v5i2.37080

Abstract

Online learning impacts decreasing student interest and learning outcomes, so students need media that can help the learning process. This research aims to produce an android-based learning application for vocational students. This research is classified as developed using the ADDIE model (analysis, design, development, implementation, and evaluation). The subjects involved in this study were two media experts, one teacher, and vocational students. Data collection in the study was carried out using the interview method and distributing questionnaires with an instrument in a product validity test questionnaire. The research data was analyzed using scores from each validator by adding up each score on each indicator and finally providing a valid assessment using the percentage assessment procedure. The study results indicate that the developed learning application media has a high validity score, so developing and teaching vocational high school students. In addition to having a high validity score, the learning application media has increased students' motivation and learning outcomes.
Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method Ghazali, Alfin; Sihombing, Poltak; Zarlis, Muhammad
International Journal of Natural Science and Engineering Vol. 5 No. 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.467 KB) | DOI: 10.23887/ijnse.v5i2.37847

Abstract

The Covid-19 outbreak has changed the learning system in Indonesia into distance learning, better known as online learning. In determining student learning outcomes on student learning satisfaction with distance learning during the Covid-19 pandemic, a study was carried out using the Simple Additive Weighting (SAW) method. This study aims to determine student learning outcomes during the Covid-19 pandemic. The type of research used in this research is applied research, in which this research is directed to obtain information that can be used to solve problems. The method used is Simple Additive Weighting (SAW) by comparing the results of the decision of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the ROC method. The subjects involved in this study were 36 students of Vocational High School (SMK). Data collection in the study was carried out using direct observation, interviews, and questionnaires. The criteria contained in the questionnaire are factors that affect the process of student learning outcomes on learning satisfaction during the Covid-19 pandemic. The criteria used are device ownership, accessibility, ease of obtaining materials, method accuracy, monitoring ability, interactivity, and independent learning. From the seven criteria, the priority scale is determined. The results showed that the analysis of the search for weight scores using the Simple Additive Weighting (SAW) method using Fuzzy Logic and Simple Additive Weighting (SAW) using the Rank Order Centroid (ROC) method resulted in different sub-criteria weighting scores, so it can be said that the combination of SAW- ROC provides a more accurate and more selective selection of the number of students.

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