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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Information Systems and Informatics J-SAKTI (Jurnal Sains Komputer dan Informatika) IT For Society : Journal of Information Technology
Alifah, Nurli
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Analysis of Customer Satisfaction with Marketing Services Using Fuzzy Logic Alifah, Nurli; Fahmi, Hasanul
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.752

Abstract

In sales companies, the acquisition of turnover every month is very influential on the assessment of sales quality. The problem faced by the company is a decrease in turnover, this may be caused by the performance of marketing services, therefore the purpose of this study is to evaluate the service performance of the marketing team at Jayaindo Abadi Makmur. To improve customer satisfaction, the team should consider components such as reliability, responsiveness, assurance, and empathy. To get the results, mamdani fuzzy logic is used with the stages of fuzzy set, implication function, rule composition, and affirmation (deffuzzy). The results showed that customer satisfaction with manual calculations amounted to 84.12, while the results with mamdani fuzzy logic using matlab software amounted to 81.3. The company's customer satisfaction is classified as very satisfied. Sales quality shows a decrease in turnover several times, but this is not caused by the marketing team. Recommendations for improvements that can be made include improving product management, pricing policies, and overcoming market competition. The data presented shows that the company's ability to manage products, pricing policies, and the competitive market atmosphere can contribute to higher levels of customer satisfaction.
Chatbot for Mental Health Using Tf-Idf and SVM Rahadiyan, Deffa; Sudrajat, Muhammad; Nugraha, Bagja Satya; Royan, Neil; Alifah, Nurli; Adityo, Vincentius; Al-Latief, Panji Maulana; Humami, Miqdam
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5746

Abstract

This research aims to develop a chatbot for mental health by using the term frequency-inverse frequency (Tf-Idf) technique to represent text and support vector machines (SVM) for classification. This chatbot is designed to provide support and information to users seeking help with mental health issues. The dataset used to train the model includes mental health-related conversations, including conversations between mental health professionals and patients, as well as general conversations about mental health. The chatbot interface allows users to input their questions or concerns, which are then processed using Tf-Idf to vectorize the text data. These features are fed into an SVM model for classification, determining the appropriate response type, such as depression, anxiety, or general advice. Chatbot responses are generated based on the classification results, providing relevant information and support to the user. Chatbots are deployed on a platform where users can interact with them, and their performance is evaluated using metrics such as accuracy, precision, gain, and F1 score.
Implementasi Sistem Pendeteksi Asap Kebakaran dengan Mikrokontroler Arduino Dengan Metode Fuzzy Mamdani Alifah, Nurli; Irawan, Agung Susilo Yuda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.593

Abstract

Fire disasters often occur due to various factors, one of which is public negligence and lack of anticipation to prevent fires from occurring. In most cases, the fire is often known when it has grown. Based on these problems, we need a system that can detect fires as quickly as possible from the appearance of smoke to prevent the emergence of a fire that is getting bigger. In this study, the author will create a system in the form of a fire smoke detector using an Arduino Uno microcontroller with the fuzzy mamdan method. The author wants to compare the fuzzy mamdani method and the Arduino device to get the most accurate results possible. Fuzzy reasoning was chosen because this method is able to calculate data that is vague to not vague, commonly called a vague analogy, namely the value used is between 0 and 1. In this system there is an MQ-2 sensor module to detect smoke and an LM35 temperature sensor connected to the Arduino Uno microcontroller. as a center for controlling the work of other devices and a data processing center on the system. And the program is made on Arduino IDE. With an LCD output to display information about the presence of smoke and an output in the form of a buzzer to give a warning sound. In this study, the results showed that the Fire Smoke Detection System Using an Arduino Microcontroller with the Fuzzy Mamdani Method could run well and produce state outputs that were in accordance with the fuzzy calculations in Matlab.
Implementasi Sistem Pendeteksi Asap Kebakaran dengan Mikrokontroler Arduino Dengan Metode Fuzzy Mamdani Alifah, Nurli; Irawan, Agung Susilo Yuda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.593

Abstract

Fire disasters often occur due to various factors, one of which is public negligence and lack of anticipation to prevent fires from occurring. In most cases, the fire is often known when it has grown. Based on these problems, we need a system that can detect fires as quickly as possible from the appearance of smoke to prevent the emergence of a fire that is getting bigger. In this study, the author will create a system in the form of a fire smoke detector using an Arduino Uno microcontroller with the fuzzy mamdan method. The author wants to compare the fuzzy mamdani method and the Arduino device to get the most accurate results possible. Fuzzy reasoning was chosen because this method is able to calculate data that is vague to not vague, commonly called a vague analogy, namely the value used is between 0 and 1. In this system there is an MQ-2 sensor module to detect smoke and an LM35 temperature sensor connected to the Arduino Uno microcontroller. as a center for controlling the work of other devices and a data processing center on the system. And the program is made on Arduino IDE. With an LCD output to display information about the presence of smoke and an output in the form of a buzzer to give a warning sound. In this study, the results showed that the Fire Smoke Detection System Using an Arduino Microcontroller with the Fuzzy Mamdani Method could run well and produce state outputs that were in accordance with the fuzzy calculations in Matlab.
Co-Authors Adityo, Vincentius Al-Latief, Panji Maulana Fahmi, Hasanul Humami, Miqdam Irawan, Agung Susilo Yuda Nugraha, Bagja Satya Rahadiyan, Deffa Royan, Neil Sudrajat, Muhammad