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All Journal CCIT (Creative Communication and Innovative Technology) Journal Journal Sensi: Strategic of Education in Information System Jurnal PkM MIFTEK Jurnal Algoritma
Nasrulloh, Anas
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Visual Analysis Of Body Signals In Smoker Data To Understand Health Impacts On Python Nasrulloh, Anas; Yusuf, Muhamad; Mas’ud, Ibnu; Toifur, Tubagus; Ikhwanudin, Aolia; Syamhalim, Agianto
Journal Sensi: Strategic of Education in Information System Vol 11 No 1 (2025): Journal SENSI
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v11i1.3764

Abstract

In this study, researchers found that 44.4% of people had blood pressure less than 120/80, 58.2% had fasting blood sugar <= 99, 47.7% had hemoglobin > 17.2, and 62% had oral problems and teeth caused by smoking. This research was carried out by visualizing the impact of smoking on blood pressure, fasting blood sugar, hemoglobin and the mouth and teeth in the body using body signal of smoking data obtained from Kaggle which was analyzed and presented in the form of a pie chart using Python.
Algoritma Regresi Linier Dalam Prediksi Jumlah Pendaftar Program Pendidikan Di Lingkungan Pesantren : Studi Kasus : Yayasan Al-Mustofa Tambakbaya Agustin, Yoga Handoko; Satria, Eri; Nasrulloh, Anas
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1802

Abstract

Al-Mustofa Tambakbaya Foundation manages an Islamic boarding school as well as a Madrasah Aliyah (MA) and Madrasah Tsanawiyah (MTS). Over the past five years, the foundation has experienced fluctuations in the number of new students. This study aims to predict the number of applicants using a linear regression algorithm. The challenge of fluctuating enrollment affects resource planning and curriculum development. The data used includes the number of MA and MTS students from the 2019 to 2023 academic years. This research follows the CRISP-DM stages, starting from business understanding, data collection and preparation, to modeling using linear regression. Model evaluation is done with MAPE, MAE, RMSE, and R-squared. The results show that the model for Regional Domicile and Outside the Region has a MAPE of 8.44% and 12.76%, respectively. The model for MTS students has a MAPE of 6.26% and an R-squared of 91.27%, while the MA student model shows the lowest performance with a MAPE of 20.56% and an R-squared of 21.20%. Predictions for the 2024 academic year show significant growth, especially in regional domicile and MA students. This research offers a practical solution to address fluctuations in enrollment and educational planning at Al-Mustofa Tambakbaya Foundation, as well as highlighting the need for model improvements to increase accuracy in the future.
Pengembangan UMKM Melalui Peningkatan Pengetahuan Masyarakat Terhadap Proses Produksi dan Pemasaran Supriatna, Asep Deddy; Naufal, Shofwan Dzaki; Bintang, Muhammad; Pertiwi, Asri Indah; Nuraeni, Siska; Amelia, Shalma; Herlina, Lina; Arianto, Mohamad Jefry; Mutaqien, Rizky; Nasrulloh, Anas; Ajijah, Ayu Nur Isti; Jembar, Tegar Hanafi; Abdussalam, Iqbal; Aliansyah, Difa Eka; Fahreza, Reynaldi; Rohimat, M. Galuh Fajar; Rustandy, Sandy; Alamsyah, Hadi; Lestari, Ayu; Diningrat, Galant Ababil Haqti
Jurnal PkM MIFTEK Vol 3 No 2 (2022): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.3-2.1317

Abstract

The majority of MSME actors in Sukamenak Village have mostly elementary and junior high school education so they can be categorized as having low education. This has an impact on increasing production and marketing capacity. The main problem in marketing knowledge starts with MSME players, especially Papandak coffee and palm sugar, who only market their products without advertising support, both traditionally and digitally. The Digital Literacy Seminar training program regarding increasing MSME marketing aims to increase the capacity of MSME actors in marketing products and improve the quality of marketing knowledge. The methodology used is the ICT Volunteer Integration methodology, where the implementation method uses the offline method. The results achieved were by increasing the knowledge of MSME actors in product marketing so as to help increase the marketing capacity of MSMEs for Papandak coffee and palm sugar.
Comparison of Naive Bayes, Decision Trees and SVM Algorithms for Sentiment Classification of JMO Applications Nasrulloh, Anas; Yusuf, Muhamad; Mas’ud, Ibnu; Toifur, Tubagus; Ikhwanudin, Aolia; Syamhalim, Agianto
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3510

Abstract

In this study, the researchers found that SVM achieved a precision of 0.75 for negative sentiment and 0.93 for positive sentiment, with recalls of 0.86 and 0.94, and f1-scores of 0.80 and 0.94, and an overall accuracy of 0.88. Naive Bayes showed similar results with a precision of 0.74 for negative and 0.93 for positive, recalls of 0.87 and 0.94, f1-scores of 0.80 and 0.94, and an accuracy of 0.88. Meanwhile, Decision Tree had the lowest precision for negative (0.71) and positive (0.91) sentiment, with recalls of 0.73 and 0.93, f1-scores of 0.72 and 0.92, and an accuracy of 0.85. These findings suggest that SVM and Naive Bayes offer excellent performance in sentiment classification, while Decision Tree, while still effective, performed slightly lower. These results provide valuable guidance in selecting the right algorithm for sentiment analysis on app data. This study compares the effectiveness of three machine learning algorithms—Naive Bayes, Decision Trees, and Support Vector Machine (SVM)—in sentiment classification of JMO apps using review data taken from Google Play Store via web scraping and processed with a Python application. The evaluation is done based on precision, recall, f1-score, and accuracy metrics.
Implementation of Lean UX to Improve the Quality of User Experience (Case Study: PT. XYZ) Yusuf, Muhamad; Nasrulloh, Anas; Ikhwanudin, Aolia; Toifur, Tubagus; Ramadhan, Aditya Duta; Mas’ud, Ibnu
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3530

Abstract

The importance of websites in the modern digital world encourages various companies to develop effective user interfaces (UI) and user experiences (UX). This study aims to design the UI/UX design of PT. XYZ's website using the Lean UX method, which focuses on active collaboration with users in developing a Minimum Viable Product (MVP). The Lean UX method involves four main stages: Declare Assumptions, Create MVP, Run Experiments, and Feedback and Research. Testing was carried out using the System Usability Scale (SUS) to measure the level of usability. The results of the study showed that the new UI/UX design significantly improved efficiency and user satisfaction, with a SUS value of 80, which is included in the "Excellent" category. This study makes a significant contribution to website development in the digital sector, especially in designing user-friendly interfaces that are centered on user needs.
Co-Authors Abdussalam, Iqbal Ajijah, Ayu Nur Isti Alamsyah, Hadi Aliansyah, Difa Eka Amelia, Shalma Arianto, Mohamad Jefry Asep Deddy Supriatna AYU LESTARI Bintang, Muhammad Diningrat, Galant Ababil Haqti Eri Satria Fahreza, Reynaldi Ikhwanudin, Aolia Jembar, Tegar Hanafi Lina Herlina Mas’ud, Ibnu Muhamad Yusuf, SE., M.Si. Mutaqien, Rizky Naufal, Shofwan Dzaki Nuraeni, Siska Pertiwi, Asri Indah Ramadhan, Aditya Duta Rohimat, M. Galuh Fajar Rustandy, Sandy Syamhalim, Agianto Toifur, Tubagus Yoga Handoko Agustin