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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Academia Open Journal for Technology and Science International Journal of Artificial Intelligence for Digital Marketing
Rachmadany, Andry
Universitas Muhammadiyah Sidoarjo
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Classification of Words of Wisdom in Indonesian on Twitter Using Naïve Bayes and Multinomial Naive Bayes Andry Rachmadany; Yuliana Melita Pranoto; Gunawan Gunawan
Academia Open Vol 3 (2020): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (11.94 KB) | DOI: 10.21070/acopen.3.2020.787

Abstract

Quote is a sentence made with the hope that someone becomes a strong personality, an individual who always improves himself to advance and achieve success. Social media is a place for people to express their hearts to the world which is sometimes a heart expression in the form of quotes. The purpose of this study is to classify Indonesian quotes on Twitter using Naïve Bayes and Multinomial Naïve Bayes. This experiment uses text classification from Twitter data written by Twitter users whether the quotes are then classified again into 6 categories (Love, Life, Motivation, Education, Religion, Others). The language used is Indonesian. The methods used are Naive Bayes and Multinomial Naïve Bayes. Results of this experiment is a classified Indonesian quote collection web application. This classification makes it easy for users to search for quotes based on class or keyword. For example, when a user wants to search for 'motivational' quotes, this classification can be very useful.
EMPLOYEE ATTENDANCE APPLICATION AT UNIVERSITAS MUHAMMADIYAH SIDOARJO BASED ON WHATSAPP Rachmadany, Andry
Journal for Technology and Science Vol. 2 No. 1 (2025): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v2i1.301

Abstract

Objective: Effective employee attendance management is crucial for optimizing operational efficiency in higher education institutions. This study aims to develop a WhatsApp-based attendance system to enhance accuracy, efficiency, and accessibility at Muhammadiyah University of Sidoarjo. Method: A web-based application was designed and integrated with the WhatsApp API, enabling employees to record attendance by sending messages via WhatsApp. The system includes automated data processing features for administrative monitoring. The research follows a system development life cycle (SDLC) approach, incorporating requirements analysis, design, implementation, and evaluation phases. Results: The implementation of the system demonstrated improved attendance efficiency, minimized human error in data recording, and reduced reliance on additional applications. The administrative panel facilitated real-time monitoring, enhancing managerial oversight. Novelty: This study presents an innovative approach by leveraging WhatsApp—a widely used communication platform—as a cost-effective alternative to conventional attendance systems. The integration of WhatsApp API eliminates the need for dedicated mobile applications, reducing maintenance costs and improving user adoption. This solution offers a practical model for universities seeking to modernize attendance management while maintaining ease of use for employees.
Pendampingan Tata Kelola Keuangan sebagai Upaya Pencegahan Fraud di SMP Muhammadiyah 1 Sidoarjo dalam Pencapaian SDG’s 4 Rini, Dina Dwi Oktavia; Hanif, Aisha; Rosid, Mochamad Alfan; Rachmadany, Andry; Fauzan, Mochamad
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 16, No 3 (2025): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v16i3.24180

Abstract

Pengelolaan keuangan yang transparan dan akuntabel merupakan salah satu faktor penting dalam peningkatan kualitas pendidikan, sebagaimana diamanatkan dalam Undang-Undang Sistem Pendidikan Nasional dan Peraturan Pemerintah tentang Pendanaan Pendidikan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mendampingi SMP Muhammadiyah 1 Sidoarjo dalam memperbaiki tata kelola keuangan guna mencegah terjadinya fraud, sekaligus mendukung pencapaian Sustainable Development Goals (SDG’s) 4 tentang pendidikan berkualitas. Metode yang digunakan meliputi identifikasi permasalahan, pendampingan pengelolaan keuangan, pelatihan pengawasan internal, dan pelatihan verifikasi bukti pertanggungjawaban. Hasil kegiatan menunjukkan bahwa pendampingan mampu meningkatkan pemahaman staf terhadap praktik tata kelola keuangan yang baik, memperkuat pengawasan internal, dan meminimalisasi potensi fraud. Diharapkan kegiatan ini dapat memberikan dampak positif jangka panjang bagi institusi, baik dari aspek transparansi, akuntabilitas, maupun kualitas pendidikan yang lebih baik.
Pendampingan Digitalisasi Usaha pada Wirausaha Nasyiatul Aisyiyah Sidoarjo guna Mendukung Tercapainya SDG’s Hanun, Nur Ravita; Rachmadany, Andry; Nuriza, Vivin; Fransisko, Eka Duwi; Maulidiyah, Innaki
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 16, No 2 (2025): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v16i2.22940

Abstract

Kader wirausaha Nasyiatul Aisyiyah Sidoarjo menghadapi sejumlah tantangan utama dalam pengembangan usaha yang mereka jalankan. Beberapa permasalahan yang diidentifikasi antara lain adalah keterbatasan akses pasar terhadap pasar yang lebih luas, inefisiensi dalam manajemen operasional usaha sehari-hari, serta kurangnya pemahaman mengenai strategi branding dan pemasaran digital yang efektif. Kegiatan pengabdian kepada masyarakat ini dirancang untuk memberdayakan para kader wirausaha Nasyiatul Aisyiyah Sidoarjo melalui pendekatan digitalisasi usaha, yang juga mendukung implementasi program Merdeka Belajar Kampus Merdeka (MBKM). Metode pendekatan yang digunakan yaitu 1) pelatihan branding produk; 2) Pelatihan dan pendampingan digital marketing; 3) meningkatkan pemahaman pengelolaan keuangan melalui sistem informasi. Hasil kegiatan menunjukkan peningkatan kapasitas kader dalam memanfaatkan platform digital, teknik penulisan konten yang menarik, optimasi media sosial, serta strategi meningkatkan engagement dan menciptakan konten viral. Selain itu, peserta juga dilatih menggunakan sistem informasi keuangan, seperti Laci POS dan Akuntansi UKM, guna menciptakan pengelolaan keuangan usaha yang lebih efisien dan akuntabel. Melalui kegiatan ini, kader diharapkan dapat mengelola usaha secara lebih profesional, adaptif, dan berdaya saing tinggi di era digital.
SENTIMENT ANALYSIS OF INDRIVE APP USAGE REVIEWS ON GOOGLE PLAYSTORE USING SUPPORT VECTOR MACHINE (SVM) AND NAÏVE BAYES ALGORITHM Romadhoni, Afifani Aulida; Rachmadany, Andry; Prasojo, Bayu Hari
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.421

Abstract

Objective: This study aims to analyze user sentiment toward the InDrive application on Google Play Store by employing Support Vector Machine (SVM) and Naïve Bayes algorithms, motivated by the increasing number of user reviews that are difficult to evaluate manually, thus requiring a text mining approach to efficiently classify opinions into positive and negative categories. Method: A dataset of 30,000 reviews was collected through web scraping, and the analysis involved several stages, including preprocessing (cleaning, case folding, normalization, tokenizing, stopword removal, and stemming), term weighting using TF-IDF, and classification using SVM and Naïve Bayes. Results: The results revealed that SVM outperformed Naïve Bayes with an accuracy of 78%, precision of 0.80, and recall of 0.74, whereas Naïve Bayes achieved 76% accuracy, 0.79 precision, and 0.70 recall, indicating that SVM is more effective in handling complex user review data compared to Naïve Bayes. Novelty: The novelty of this research lies in applying a comparative study of the two algorithms to InDrive application reviews, which has not been extensively explored, and is expected to provide insights for developers to better understand user perceptions and improve the quality of application services.
THE EFFECT OF LIVE STREAMING, RATINGS, AND PRODUCT REVIEWS ON PURCHASING DECISIONS FOR COMPASS SHOE PRODUCTS IN THE SHOPEE APPLICATION Khaqi, M. Ivan Imanulloh; Yulianto, Mochamad Rizal; Rachmadany, Andry
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.422

Abstract

Objective: This study aims to analyze the effect of the live streaming feature, product ratings, and product reviews on purchasing decisions for Compass shoes in the Shopee application. Method: Using multiple linear regression techniques, the study identified that all independent variables (live streaming, ratings, and product reviews) have a positive and significant relationship to purchasing decisions, and the research instrument proved to be reliable with Cronbach's Alpha and Composite Reliability values above 0.7 for all constructs. Results: The analysis results show that the product review variable (X3) has the most significant influence, while live streaming (X1) has the smallest influence, and the research model shows moderate predictive power of purchasing decisions (R Square=0.528). Novelty: This finding confirms the importance of reviews, ratings, and real-time interactions in encouraging consumers to make purchasing decisions in digital marketplaces.
THE INFLUENCE OF CONTENT MARKETING, E-WOM, AND BRAND AWARENESS ON PURCHASE INTENTION OF EIGER PRODUCTS ON TIKTOK AMONG GENERATION Z Nafi’, Ahmad Rosyidun; Yulianto, Mochamad Rizal; Rachmadany, Andry
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.423

Abstract

Objective: This study aims to analyze the influence of Content Marketing, Electronic Word of Mouth (E-WOM), and Brand Awareness on the Purchase Intention of Eiger products among Generation Z on TikTok, focusing on identifying which factors most effectively drive consumer decisions in the digital-native segment. Method: A quantitative descriptive approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with data collected from 96 Generation Z respondents who actively use TikTok and have been exposed to Eiger promotional content. A purposive sampling method was applied, and measurements were conducted using a Likert-scale questionnaire based on established indicators for each variable. Results: The findings reveal that Brand Awareness significantly and positively influences purchase intention, while Content Marketing and E-WOM do not show a significant impact. The R-square value of 0.778 indicates that 77.8% of the variance in purchase intention can be explained by the tested variables, with brand awareness emerging as the dominant factor. Novelty: Unlike many prior studies highlighting the role of content marketing and E-WOM in driving Generation Z consumer behavior, this research demonstrates that on TikTok, purchase intention is primarily shaped by brand awareness. This highlights the strategic importance of enhancing brand presence, consistent messaging, and digital engagement to strengthen consumer trust and encourage purchasing decisions.
Co-Authors Aisha Hanif Almanfaluti, Istian Kriya Alshaf Pebrianggara Bayu Hari Prasojo Dina Dwi Oktavia Rini Fauzan, Mochamad Fransisko, Eka Duwi Gunawan Khaqi, M. Ivan Imanulloh Maulidiyah, Innaki Mochamad Alfan Rosid Mochamad Rizal Yulianto Nafi’, Ahmad Rosyidun Nur Ravita Hanun Nuriza, Vivin Romadhoni, Afifani Aulida Yuliana Melita Pranoto