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All Journal Semantik Pro Bisnis Telematika JUITA : Jurnal Informatika JOIV : International Journal on Informatics Visualization JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jambura Journal of Electrical and Electronics Engineering Community Engagement and Emergence Journal (CEEJ) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pendidikan Sains dan Komputer Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Jurnal Ilmiah Multidisiplin Indonesia Journal of Information Technology and Cyber Security Jurnal Teknik Informatika dan Teknologi Informasi International Journal of Machine Learning (IJOML)
Purwadi Purwadi
Magister Ilmu Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto
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Analysis of the Effect of Price on Students Purchase Interest Using Linear Regression Yulia Risma Yanti; Novitasani Putri; Purwadi Purwadi
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 05 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), May 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the effect of price on students’ purchase intention using a simple linear regression method. This research adopts a quantitative approach with data collected through questionnaires distributed to 94 student respondents. The independent variable is price, while the dependent variable is purchase intention. The results show that price has a positive and significant effect on students’ purchase intention, with a regression coefficient value of 0.58. This indicates that an increase in perceived price value will be followed by an increase in purchase intention. In addition, the coefficient of determination (R²) of 0.36 indicates that price explains 36% of the variation in purchase intention, while the remaining 64% is influenced by other factors outside this study. The significance test also shows that the effect of price on purchase intention is statistically significant. Therefore, it can be concluded that price is an important factor influencing students’ purchase intention, although other factors also play a role in the purchasing decision process.
A Hybrid Feature-Enriched IndoBERT Framework for Sentiment Analysis of Ride-Hailing Service Reviews in Indonesia Puas Triawan; Imam Tahyudin; Purwadi
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1587

Abstract

This study examines sentiment classification for Indonesian ride-hailing user reviews, which often contain informal expressions, ambiguity, and strong contextual dependency. Existing studies commonly rely on either traditional machine learning or transformer-based models, while limited attention has been given to integrating heterogeneous feature representations. To address this gap, this study proposes a feature-level hybrid integration strategy combining TF-IDF and IndoBERT embeddings. This approach enables the model to capture statistical term importance and contextual semantic meaning within a unified representation. A quantitative experimental design was applied to approximately 20,000 reviews collected from Gojek, Grab, and Maxim. Sentiment labels were generated through rating-based mapping and manually validated for consistency. The dataset, which was relatively balanced across positive, neutral, and negative classes, was divided into training and testing sets using an 80:20 split. Model performance was evaluated on the test set using accuracy, precision, recall, and F1-score. The proposed hybrid model achieved the highest accuracy of 93.5%, outperforming IndoBERT (91.8%) and traditional machine learning models (78.4%–87.6%). The results show that feature-level integration improves sentiment classification performance, although neutral sentiment remains challenging due to contextual ambiguity.
Analisis Hubungan Durasi Penggunaan Smartphone dan Produktivitas Belajar Mahasiswa: Studi Eksploratif Monte Carlo Panca Ragil Prasetyo; Purwadi Purwadi
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.9911

Abstract

The rapid development of digital technology has made smartphones an essential part of students' academic activities. However, the high intensity of smartphone usage raises questions regarding its relationship with learning productivity. This study aims to analyze the relationship between smartphone usage duration and learning productivity among Informatics students and to explore the data using a Monte Carlo simulation approach. The study was conducted on 80 second- and fourth-semester Informatics students at Amikom University Purwokerto. Data analysis included descriptive statistics, validity testing, reliability testing, normality testing, Pearson correlation analysis, simple linear regression, and Monte Carlo simulation with 1,000 iterations using Python. The results revealed a Pearson correlation coefficient of with a significance value of indicating a negative but statistically insignificant relationship between smartphone usage duration and learning productivity. Simple linear regression analysis produced the regression equation with a coefficient of determination of , indicating that smartphone usage duration explains only a small proportion of the variance in students' learning productivity. Monte Carlo simulation was employed as an exploratory approach to illustrate the potential variation in learning productivity based on the characteristics of the observed data. The simulation results demonstrated variability in learning productivity scores across different smartphone usage scenarios; however, these findings cannot be interpreted as evidence of a significant effect between the two variables. This study concludes that the relationship between smartphone usage duration and learning productivity among Informatics students tends to be weak and is influenced by various factors beyond the scope of the proposed model. Therefore, further research with a larger sample size and additional explanatory variables is recommended to achieve a more comprehensive understanding of student learning productivity in the digital era. The contribution of this research lies in providing empirical evidence regarding the weak relationship between the two variables among informatics students, as well as demonstrating that the Monte Carlo simulation can be utilized as an exploratory approach to illustrate variations in possible outcomes based on empirical data characteristics, rather than as a conclusive predictive tool.
Integrasi Coding dalam Pembelajaran Statistika dan Probabilitas di SMK: Dampak terhadap Kompetensi Siswa: Coding Integration in Statistics and Probability Learning in Vocational High Schools: Impact on Student Competence Fairus Aufa Baharita; Ilham Suryo Saputra; Rehandika Priambudi; Hamzah Tsabit Akdama; Ilham Robbani; Purwadi Purwadi
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8777

Abstract

The development of digital technology has driven the need for learning innovations that not only improve understanding of mathematical concepts but also develop students' digital skills. One possible approach is to integrate a coding platform into the learning of probability and statistics in Vocational High Schools (SMK). This study aims to analyze the implications of using a coding platform on students' understanding of probability and statistics concepts, data analysis skills, and the development of digital skills. The research method is a descriptive approach that employs coding-based learning simulations in Python. Implementation is carried out through probability simulation activities, statistical data processing, data visualization, and project-based learning. Data processing uses 500 student grades to calculate measures of central tendency, analyze data distribution, and automatically generate statistical visualizations. The results show that using a coding platform can facilitate understanding of probability through interactive simulations, improve students' ability to efficiently process and analyze large amounts of data, and help create more accurate and understandable data visualizations. The integration of coding into learning fosters logical thinking, problem-solving, computational thinking, and digital literacy relevant to the needs of the workforce in the digital industrial era. The integration of coding platforms into probability and statistics learning has the potential to be an effective strategy for improving the quality of mathematics learning while preparing vocational school students to face the challenges of future technological developments.
Analysis Of Social Media Use Among Students Using Approaches Statistics And Probability Ecca Andini Naretawati; Arvita Tivanny Ellen; Nandia Triyusvita; Dias Puspita Anggareni; Purwadi Purwadi
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 06 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), June 2026
Publisher : Sean Institute

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Abstract

Social media has become an important part of students' lives as a medium for communication, entertainment, and information seeking. This study aims to analyze social media usage patterns among university students using descriptive statistics and probability approaches. Data were collected through a survey of 30 students using Google Forms. The observed variables included gender, semester level, residence status, duration of social media usage, purpose of use, and Grade Point Average (GPA). The results showed that 76.67% of respondents were female and 50% were second-semester students. Furthermore, 63.33% of students used social media for more than eight hours per day, while entertainment was the primary purpose of use (50%). Probability analysis indicated that the likelihood of a student using social media for more than eight hours daily was 0.633. The findings suggest that social media has become a major necessity for students, requiring proper time management to avoid negative impacts on academic activities.
Mapping UI/UX Evaluation Methods, Evaluation Objects, and Measured Aspects in Comparative Studies: A Systematic Literature Review Bachtiar Mujaddidi; Berlilana Berlilana; Purwadi Purwadi
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 2 (2026): Juli - Desember 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i2.39319

Abstract

— UI/UX evaluation is a crucial aspect in ensuring the quality of interaction between users and systems, particularly in the context of increasingly complex digital applications. However, the wide variety of available evaluation methods often leads to differences in results and interpretations when assessing system performance and user satisfaction. This study aims to review and compare UI/UX evaluation approaches used in comparative studies. Unlike previous review studies that mainly focused on specific application domains, user perceptions, or technological trends, this study specifically maps the relationship between UI/UX evaluation methods, evaluated objects, and user experience dimensions measured in comparative studies. The method employed is a systematic literature review (SLR) following the PRISMA guidelines. Literature was retrieved from the Scopus database, and through the selection process, 13 articles met the inclusion criteria. The analysis revealed that UI/UX evaluation approaches in comparative studies are predominantly focused on comparing interaction techniques or interaction approaches, accounting for 61.5% (8 articles) of the selected studies. This is followed by comparisons of software performance, which represent 23.1% (3 articles), and comparisons of evaluation methods, which account for 15.4% (2 articles). Evaluations generally employ a combination of performance metrics, user perception measures, and additional experiential indicators such as cognitive workload and physiological responses. The findings show that each method or system demonstrates strengths in specific evaluation dimensions, highlighting the need for a multidimensional and multi-method evaluation approach to obtain a more comprehensive understanding of UI/UX. The main contribution of this study is the development of a systematic synthesis that links evaluation methods, evaluation objects, and UI/UX indicators employed in comparative studies. The findings provide a broader understanding of current evaluation practices and may serve as a reference for researchers and practitioners in designing more appropriate and consistent UI/UX evaluation strategies.
Motion Graphics Branding Video for Increasing Audience Engagement at Zahira Media Publisher Using R&D Method Putri Oktavianingsih; Purwadi Purwadi
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 2 (2026): Juli - Desember 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i2.39190

Abstract

The development of social media encourages companies to utilize more engaging and interactive digital communication media to increase audience engagement. Zahira Media Publisher has used video-based promotional media, but has not yet utilized motion graphics optimally, resulting in relatively low audience interaction. This study aims to develop a motion graphics-based branding video and analyze its effectiveness in increasing audience engagement on Instagram. The method used is Research and Development (RD) with a Waterfall model that includes needs analysis, design, implementation, validation, testing, and evaluation. The branding video was developed using Canva and CapCut by applying the AIDA (Attention, Interest, Desire, Action) concept, then validated by media experts and subject matter experts before being published via Instagram Reels. Testing was conducted for seven days using indicators likes, comments, shares, views, and reach. The results showed an increase in all engagement indicators: likes from 13 to 173, comments from 0 to 109, shares from 4 to 31, views from 635 to 1,384, and reach from 398 to 676. Engagement rates also increased from 4.27% to 46.30%. These results indicate that motion graphics-based branding videos effectively increase audience engagement, encourage user interaction, and expand the reach of information through Instagram Reels.
Classification of Impulse Buying on TikTok Shop Live Streaming Using the XGBoost Algorithm Fini Ikhfiani Fadilah; Purwadi Purwadi
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 2 (2026): Juli - Desember 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i2.39143

Abstract

The development of social commerce through the TikTok Shop platform has transformed the interaction patterns between sellers and consumers through live streaming features that enable an interactive and real-time shopping experience. This study aims to classify Impulse Buying behavior in TikTok Shop Live Streaming activities using the XGBoost algorithm. The dataset consists of 300 observations collected from live streaming sessions of the TikTok account Igameivia during the period of January–April 2026. The variables used include live streaming duration, views, live impressions, number of comments, and new followers. The number of orders and Gross Merchandise Value (GMV) variables were excluded from the model due to their potential to cause feature leakage. The research stages included data preprocessing, dataset splitting using an 80:20 ratio, XGBoost model training, and evaluation using Accuracy, Precision, Recall, F1-Score, Confusion Matrix, and ROC-AUC metrics. The results show that the model achieved an Accuracy of 81.67%, Precision of 82.93%, Recall of 89.47%, F1-Score of 86.08%, and ROC-AUC of 0.8732. These results indicate that the model has a good capability to distinguish between Impulse Buying and Non-Impulse Buying behaviors. Feature importance analysis revealed that the number of comments, live impressions, and new followers were the most influential variables in the classification process. These findings suggest that user engagement and audience reach during live streaming sessions play an important role in driving impulsive purchasing behavior. Therefore, the XGBoost algorithm can be utilized to identify Impulse Buying tendencies based on live streaming activities and support data-driven decision-making on the TikTok Shop platform.
Pelatihan Canva Oleh Mahasiswa Kampus Mengajar Menggunakan Akun Belajar Guna Meningkatkan Keterampilan Siswa Dalam Bidang Desain Di SMP PGRI 2 Somagede Purwadi Purwadi; Putri Vidia Lestari
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 1 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v5i1.3952

Abstract

Pendidikan di Indonesia sejalan dengan perkembangan teknologi, semakin banyaknya pengguna handphone namun kebanyakan mereka tidak memanfaatkannya secara maksimal. Dalam menunjang pendidikan di Indonesia yang berbasis teknologi, pemerintah memberikan fasilitas akun belajar.id yang diberikan kepada pengajar dan pelajar di Indonesia untuk mengakses beberapa aplikasi dengan fitur lengkap. Salah satunya Canva for education yang yang memiliki akses layaknya menggunakan Canva Pro dimana jika diakses menggunakan akun belajar pengguna tidak perlu berlangganan atau membayarnya setiap bulan. Namun, dalam pemanfaatannya yang tidak maksimal oleh siswa bahkan banyak yang tidak mengetahui jika memiliki akun belajar tersebut. Tim penugasan juga mengunjungi perpustakaan dan masih kurangnya hiasan sebagai salahsatu daya tarik pengunjung. Melalui program kampus mengajar Angkatan 6 ini, kami mncoba memanfaatkan akun belajar.id tersebut untuk meningkatkan keterampilan siswa melalui pelatihan Canva bagi siswa OSIS di SMP PGRI 2 Somagede. Pada pelatihan ini difokuskan pada pembuatan poster media literasi di perpustakaan karena masih minimnya media literasi terutama di perpustakaan. Akan tetapi masih terdapat kendala pada saat pelaksanaan yaitu jaringan yang kurang baik yang mengharuskan menggunakan data seluler atau hostpot seluler untuk mendapatkan jaringan yang stabil di dalam ruang kelas. Beberapa tujuan dalam kegiatan pelatihan ini yaitu, memanfaatkan akun belajar.id, meningkatkan keterampilan dan kreativitas siswa dalam bidang desain, serta meningkatkan literasi siswa dengan pembuatan poster literasi. Metode pendekatan yang digunakan pada pelatihan ini menggunakan pendekatan kualitatif. Pelatihan dilaksanakan menggunakan metode demonstrasi dan praktek langsung oleh siswa menggunakan handphone masing-masing. Hasil dari kegiatan pelatihan ini siswa dapat mengoperasikan aplikasi Canva dengan baik, mengetahui salah satu manfaat akun belajar, dan meningkatkan keterampilan dalam bidang desain. Siswa sangat antusias mengikuti pelatihan hingga selesai dan mengharapkan kegiatan selanjutnya dalam bidang teknologi terutama desain yang ditunjukkan dengan hasil karya poster yang digunakan sebagai media literasi di perpustakaan sekolah dan desain poster di kelas ataupun feed Instagram kelas masing-masing.
Geospatial Analysis of Global Temperature and Humidity Variations Using Integrated Meteorological Data Alya Zhafira; Purwadi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1817

Abstract

Global climate monitoring is crucial for understanding variations in temperature and humidity, which directly influence ecosystems, human health, and socio-economic activities. This study presents a Geographic Information System (GIS)-based analysis and visualization of global temperature and humidity patterns using historical hourly weather data from 2012 to 2017. The dataset, obtained from open-access sources, was processed and analyzed in Google Colab using Python libraries such as pandas, geopandas, folium, and plotly. Data preprocessing involved merging city-level observations, cleaning missing values, and calculating mean temperature and humidity per location. The resulting dataset was then visualized through an interactive global map and a scatter plot to identify spatial relationships between the two climatic variables.To quantify these spatial relationships, a statistical correlation analysis was conducted, revealing a weak negative relationship between temperature and humidity (r = -0.25) across global regions.The findings reveal that regions near the equator exhibit consistently high temperatures and humidity, while higher-latitude cities show lower temperatures and more variable moisture levels. This GIS-based approach demonstrates the potential of open meteorological data for climate pattern recognition and supports reproducible workflows for environmental analysis. The results highlight the importance of integrating data science tools with GIS for accessible and scalable global climate visualization.
Co-Authors Abdul Jahir Adam Prayogo Kuncoro Ade Toti Febrian Adhisa Nanda Kurnia Akto Hariawan Alya Zhafira Ammar Fauzan, Ammar Andi Dwi Riyanto Andina, Anisa Nur ANNISA HANDAYANI Arief Kurnia Ramadhani Arvita Tivanny Ellen Atiqah Noor Zhaafirah Aulia Suryaning Tyas Bachtiar Mujaddidi Bagus Adhi Kusuma Bagus Adhi Kusuma Berlilana Berlilana Dendi Putra Prakoso Desi Riyanti Dhanar Intan Surya Saputra Dias Puspita Anggareni Ecca Andini Naretawati Fairus Aufa Baharita Ferix Aziz Susandi Fini Ikhfiani Fadilah Giat Karyono Hamzah Tsabit Akdama Hendra Marcos Hidayah, Debby Ummul Ibrahim, Farrel Ilham Robbani Ilham Suryo Saputra Imam Tahyudin Imam Tahyudin Intan Surya Saputra, Dhanar Iskoko, Angga Jaka Wijaya Kusuma jordy, Roy Jordy Kuat Indartono Lina Nur Afifah M. Syaiful Amin Mardiyanto Mardiyanto Ma`dan Shomsomi Mohammad imron Muliasari Pinilih, Muliasari Nandia Triyusvita Nor Azman Abu Nor Azman Bin Abu Novitasani Putri Othman Bin Mohd Othman Bin Mohd Panca Ragil Prasetyo Pandu W, Muhammad Arfianto Puas Triawan Pungkas Subarkah Putri Oktavianingsih Putri Vidia Lestari Rahayu, Dania Gusmi Rahman Rosyidi Ratih Anggraeni Refida Putri Rehandika Priambudi Rohmah, Umdah Aulia Rujianto Eko Saputro Sitaresmi Wahyu Handani Solihatun Havidah Sri Rahayu Widhaksa Triawan Yulia Risma Yanti Yusmedi Nurfaizal