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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Buletin Ilmiah Sarjana Teknik Elektro Mobile and Forensics Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems International Journal of Social Service and Research Control Systems and Optimization Letters IJMST
Furizal, Furizal
Unknown Affiliation
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Neuroscience Social Sciences

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Sentiment Analysis on Marketplace in Indonesia using Support Vector Machine and Naïve Bayes Method Dakwah, Muhammad Mujahid; Firdaus, Asno Azzawagama; Furizal, Furizal; Faresta, Rangga
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.28070

Abstract

This research addresses the challenges of marketplace customer feedback, which is an important aspect in today's era of online transactions. Marketplaces often receive many unsatisfactory comments from their customers through social media platforms. One approach that can be used to address this is sentiment analysis. This research contributes new insights as recommendations for marketplaces based on customer opinions on available services and delivery. The sentiment analysis methods used are Naive Bayes and Support Vector Machine because they are considered the best methods in training text-based classification models. Before being classified, the data goes through preprocessing stages such as cleaning, case folding, filtering, stemming, and tokenizing, as well as feature extraction stages using Term Frequency - Inverse Document Frequency (TF-IDF). The objects analyzed are divided into several well-known marketplaces in Indonesia such as Tokopedia, Lazada, and Shopee in discussing services and delivery of goods. The data used in this study comes from Twitter (X) social media accessed on August 27, 2023, using crawling techniques and successfully obtained as much as 2057 Tweet data. The best accuracy is obtained in the SVM method when compared to the Naive Bayes method. Words obtained based on service talks include price, service, application service, feedback, independence, and others. As for the delivery of goods, common words such as COD, delivery, package, courier, cheap, price, and others appear. Both methods used have good accuracy and can be recommended for use in similar research.
Impact of Fuzzy Tsukamoto in Controlling Room Temperature and Humidity Sunardi, Sunardi; Yudhana, Anton; Furizal, Furizal
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 7 No 2 (2023): August 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v7i2.19652

Abstract

Dry season is a season where the room temperature exceeds the needs of the body so that it is unpleasant, unhealthy and can interfere with human productivity. In addition, the efficiency of use and resource requirements are also a concern for some people. To overcome this problem, an automatic room temperature control device was created using the ESP32 microcontroller with Tsukamoto's fuzzy algorithm optimization as a data processing technique to produce optimal fan speeds in duty cycle units based on temperature and humidity conditions in realtime. Four tests by running a fan for 30 minutes on each showed that the average difference between the maximum and minimum temperatures in the room was 0.95°C, while the average difference between maximum and minimum humidity was 2.0%. In addition, the test graph shows that when the fan is rotated in a closed room without air circulation, the relative temperature change increases from the initial minute to the last minute of the test. Meanwhile, changes in relative humidity decrease, although fluctuations increase within 1-4 minutes. This study found that fans are not effective in lowering room temperature optimally. Therefore, it is recommended to replace with an exhaust fan in future research.
Co-Authors A. Salah, Wael Abdul Syukur Abidin, Minhajul Adriyanto, Feri Ahmad Azhari Al Madani Kurniawan, Aqsha Aldi Bastiatul Fawait Fawait Alfian Ma’arif ALYA MASITHA Anton Yudhana Ariska Fitriyana Ningrum Arqam, Mhd Lailan Asno Azzawagama Firdaus Atmojo, Ahmad Muslih B. Talirongan, Florence Jean Bintang Grendis, Nuraqilla Waidha D.E Purwadi Putra, Izzan Julda Dianda Rifaldi Faresta, Rangga Hadi San, Ahmad Syahrul Imam Riadi Imantoyo, Adi Insyroh, Nazaruddin Jayed, A K M Kariyamin, Kariyamin Kartoirono, Suprihatin Lora Khaula Amifia Maghfiroh, Hari MAJDOUBI, Rania Maulana, Adrian Mawarni, Syifa’ah Setya Moch. Iskandar Riansyah Mostfa, Ahmed A. Muhammad Ilham Muhammad Mujahid Dakwah Muis, Alwas Munzir, Misbahul Murinto Murinto Murni Murni Nakib, Arman Mohammad Natawangsa, Hari Nusantara Habibi, Ahmad Rizky Palahuddin, Palahuddin Ramelan, Agus REKIK, Chokri Ritonga, Asdelina Sagita, Muhamad Rian Sharkawy, Abdel-Nasser Sherly da Costa, Apolonia Diana Son Ali Akbar Sufiyandi, Ilham Sunardi Sunardi Suprihatin Suprihatin Suwarno, Iswanto Syahrani Lonang Wahyu Caesarendra Wijaya, Setiawan Ardi