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Journal of Soft Computing Exploration
Published by shm publisher
ISSN : 27467686     EISSN : 27460991     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Soft Computing Exploration is a journal that publishes manuscripts of scientific research papers related to soft computing. The scope of research can be from the theory and scientific applications as well as the novelty of related knowledge insights. Soft Computing: Artificial Intelligence Applied Algebra Neuro Computing Fuzzy Logic Rough Sets Probabilistic Techniques Machine Learning Metaheuristics And Many Other Soft-Computing Approaches Area Of Applications: Data Mining Text Mining Pattern Recognition Image Processing Medical Science Mechanical Engineering Electronic And Electrical Engineering Supply Chain Management, Resource Management, Strategic Planning Scheduling Transportation Operational Research Robotics
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 82 Documents
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Implementation of fuzzy tsukamoto in employee performance assessment Meilina Taffana Dewi; Untsa Zaaidatunni'mah; M. Faris Al Hakim; Jumanto Jumanto
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.52

Abstract

Employees are one of the important things for the sustainability of a company, because employees are company assets. In addition, employee performance is also something that cannot be ignored because it determines the achievement of company goals. So it is important to monitor employee performance and conduct performance appraisals. With the addition of performance appraisal, the company can determine the provision of rewards, promotions, and punishments. It can be used as a work evaluation stage to improve the quality of work. Employee performance appraisal is based on several predetermined criteria, including responsibility, discipline, and attitude which in the end results in between two linguistic values, namely good or bad. One method for evaluating employee performance is the Tsukamoto fuzzy method. With the Tsukamoto fuzzy method, it is hoped that the assessment can be carried out fairly and measurably.
Room occupancy classification using multilayer perceptron Dandi Indra Wijaya; Muhammad Kahfi Aulia; Jumanto Jumanto; M. Faris Al Hakim
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.53

Abstract

A room that should be comfortable for humans can create a sense of absence and appear diseases and other health problems. These rooms can be from boarding rooms, hotels, office rooms, even hospital rooms. Room occupancy prediction is expected to help humans in choosing the right room. Occupancy prediction has been evaluted with various statistical classification models such as Linier Discriminat Analysis LDA, Classification And Regresion Trees (CART), and Random Forest (RF). This study proposed learning approach to classification of room occupancy with multi layer perceptron (MLP). The result shows that a proper MLP tuning paramaters was able estimate the occupancy with 88.2% of accuracy
A Business Process Re-engineering to Support Cake Shop Business Sustainability Khoirul Anam; Kharis Rahmat Hidayat; Alifio Ibnu Nugroho; Kevin Tito Hutahaean
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.54

Abstract

Business Process Re-engineering is usually carried out to increase satisfaction with goods or services so that customers tend to choose goods or services from certain companies rather than choosing goods or services from competing companies. This cake shop has been around since 2000, but previously in 1999 they had tried to process the cake shop's recipe so that they found a concoction that suited the local people's tongue. However, this business did not last long because the shop they owned had experienced a fire incident which caused the cake shop business to be evicted and eventually moved to another place so that they also received business threats, namely the emergence of many competitors selling similar products. The purpose of our research is that we will conduct a re-engineering analysis to optimize the business processes in the cake shop. The research method used in our research is descriptive. The descriptive research method is carried out by seeking information related to existing symptoms, clearly explaining what goals will be achieved in the research conducted. In this new model, we add a promotion method, namely by using advertising services on social media so that it can reach people who are still not familiar with the product. In the new model, we also added a process, namely a research process to add innovation to new product cake variants that will give a new impression to the shop's customers.
Evaluation Of Business Process in Convention Production Companies Using Business Process Improvement (BPI) Nur Afan Syarifudin; Muhammad Daffa Izzuddin; Tazkiyatun Aeni Amaliyah
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.56

Abstract

Purpose : Choosing the best business process model for a convection company during the COVID-19 pandemic Methods : This study applies an analytical framework of business process improvement (BPI) which includes five whys analysis (organizing for improvement, understanding the process, streamlining, measurement and controls, continuous improvement). Model business process modeling and notation (BPMN) Result : The results of this study are analysis of business processes that occur in convection companies and the results are that the business processes in convection companies are still less effective. In addition, the author also provides recommendations, namely the use of a database on the ordering system used Novelty : Evaluation of business processes in convection production companies using BPI and BPMN
Prediction of Hospital Intesive Patients Using Neural Network Algorithm Rizka Rosita; Dwika Ananda Agustina Pertiwi; Oktaria Gina Khoirunnisa
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.61

Abstract

This study aims to predict whether the patient deserves to be inpatient or outpatient by comparing several machine learning techniques, namely, logistic regression, decision tree, neural network, random forest, gradient boosting. The research method uses three stages of research, namely data collection, data preprocessing, and data modeling. Implementation of program code using google colab and python programming language. The dataset used as the research sample is Electronic Health Record Predicting data. Based on the accuracy results generated in this study, the use of the Neural Network machine learning algorithm to predict hospitalization decisions for patients has proven to be a machine learning algorithm that has the highest accuracy rate reaching 74, 47% compared to other comparison machine learning algorithms, namely logistic regression, decision tree, neural network, random forest, gradient boosting.
Performance Evaluation and Measurement of SMEs King of Honey Using the Green SCOR Method Risa Naili Fitriana; Alda Bernika Ifada; Tiffany Ovilia Putri Dwi Lestari; Sayidah Rohmatul Hidayah
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.63

Abstract

Assessment of the application of the concept of Green Supply Chain Management (GSCM) in each business unit is something that is important to do considering that currently environmental issues are a very urgent matter. Therefore, this study will focus on assessing the GSCM process and measuring performance to determine the value of GSCM performance in King of Honey SMEs. The method used in this research is Green SCOR with 6 management processes, namely plan, source, make, delivery, return, and waste. From the research conducted, the priority level of GSCM indicators and the value of GSCM performance on King of Honey SMEs are generated. The results of this study showed that the total performance value of GSCM King of Honey in September was 86.03, October was 86.45 and November was 86.48.
Securing Audio Chat With Cryptool-Based Twofish Algorithm Alya Aulia Nurdin; Djuniadi Djuniadi
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.65

Abstract

Technology and the internet are growing very rapidly in society making it easy for people to share information and communicate with each other. However, the security of such data or information is something that should be highlighted. The utilization of technology and the internet has many security gaps that can make data or information vulnerable to being stolen and even misused. Valuable data or information is very likely to be accessed by unauthorized people. On the other hand, data and information are prone to be illegally altered and even duplicated. In connection with various possible data or information security issues, it is necessary to do a data security. The purpose of this study is to secure audio chat using a Cryptool-based Twofish algorithm. Based on research conducted, the security process with encryption and decryption simulations was successfully carried out on audio chat. Audio chat sent via IP Address can be encrypted into ciphertext and can be decrypted back into audio at a speed of 15.78 kB/s and the resulting size is also still the same, which is 160 packets. This Twofish algorithm proved to be well usable because the size and quality of chat audio generated from decryption is still the same as audio chat before it is encrypted.
Application of TOPSIS Method in Assessment of the Best Learning Comunication Media for Elementary School Students Pricilia Intan Pramesti; Julian Rienaldi Prasetya; Tiffany Ovilia Dwi Lestari; Miftakhul Gina Khoirunnisa
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.66

Abstract

The spread of the Covid-19 virus that occurred so quickly and occurred almost all over the world caused the implementation of activities to be carried out online, including learning activities. The main thing that can help the online learning process is technology, especially communication technology. Commonly used communication media to assist the online learning process include Whatsapp, school e-learning Web, Youtube, Zoom, and Google Meet. Of course, every communication media used has advantages and disadvantages. This study aims to determine the best learning communication media using the TOPSIS method to assist users in choosing the best communication media for elementary school students based on the criteria for easy use and maintenance, completeness of features, quota requirements, understanding obtained, and the ability to re-access information. The results of this study indicate that the best communication media for elementary school student learning is the Whatsapp application. In addition, this research also produces a simple excel-based TOPSIS program that can be used by educators to determine what application is right for use in the learning process because many criteria are considered by an educator to determine the application
Optimize Naïve Bayes Classifier Using Chi Square and Term Frequency Inverse Document Frequency For Amazon Review Sentiment Analysis Anisa Falasari; Much Aziz Muslim
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.68

Abstract

The rapid development of the internet has made information flow rapidly wich has an impact on the world of commerce. Some people who have bought a product will write their opinion on social media or other online site. Long-text buyer reviews need a machine to recognize opinions. Sentiment analysis applies the text mining method. One of the methods applied in sentiment analysis is classification. One of the classification algorithms is the naïve bayes classifier. Naïve bayes classifier is a classification method with good efficiency and performance. However, it is very sensitive with too many features, wich makes the accuracy low. To improve the accuracy of the naïve bayes classifier algorithm it can be done by selecting features. One of the feature selection is chi square. The selection of features with chi square calculation based on the top-K value that has been determined, namely 450. In addition, weighting features can also improve the accuracy of the naïve bayes classifier algorithm. One of the feature weighting techniques is term frequency inverse document frequency (TF-IDF). In this study, using sentiment labelled dataset (field amazon_labelled) obtained from UCI Machine Learning. This dataset has 500 positive reviews and 500 negative reviews. The accuracy of the naïve bayes classifier in the amazon review sentiment analysis was 82%. Meanwhile, the accuracy of the naïve bayes classifier by applying chi square and TF-IDF is 83%.
Rainfall Prediction in Blora Regency Using Mamdani's Fuzzy Inference System Dela Rista Damayanti; Suntoro Wicaksono; M. Faris Al Hakim; Jumanto Jumanto; Subhan Subhan; Yahya Nur Ifriza
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.69

Abstract

In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data patterns and the number of intervals when calculating data patterns and Sugeno has the disadvantage of having less stable accuracy results even though some tests have been able to get fairly accurate results. In research on the implementation of the Mamdani fuzzy inference system method using the climatological dataset of Blora Regency to predict rainfall, it can be concluded as follows: (1) The fuzzy logic of the Mamdani method can be used to predict the level of rainfall in the city of Blora by taking into account the factors that affect the weather, including temperature, wind speed, humidity, duration of irradiation and rainfall. (2) Fuzzy logic for prediction with uncertain input values is able to produce crisp output because fuzzy logic has tolerance for inaccurate data. (3) The results of the accuracy of calculations using the Mamdani fuzzy inference system method to predict rainfall in Blora Regency are 66%.

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