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All Journal MEDISAINS JOIN (Jurnal Online Informatika) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Infotekmesin INTERNAL (Information System Journal) JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Indonesian Journal of Economics and Management Jurnal Sosial dan Abdimas Indonesian Journal of Physical Education and Sport Science (IJPESS) Jurnal Dimamu Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Journal of Islamic Economics and Business TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Scientica: Jurnal Ilmiah Sains dan Teknologi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen INTERNAL (Information System Journal) Router : Jurnal Teknik Informatika dan Terapan JIMT: Jurnal Informatika, Multimedia dan Teknik Jurnal Teknologi Riset Terapan Router : Jurnal Teknik Informatika dan Terapan Jurnal Sistem Informasi dan Ilmu Komputer Jasmine : Journal of Intelligent Systems and Machine Learning
Muhammad Agreindra Helmiawan
Universitas Sebelas April
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengaruh Digital Marketing melalui TikTok terhadap Pemasaran Produk UMKM di Cicarimanah Ghina Husnulmar’ati; Esa Firmansyah; Muhammad Agreindra Helmiawan
Jurnal Teknologi Riset Terapan Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jatra.v3i1.5008

Abstract

Purpose: The purpose of this study is to understand how using TikTok as a digital marketing platform can help Micro, Small, and Medium Enterprises (MSMEs) in Cicarimanah Village, Situraja District, Sumedang Regency to improve their product marketing. The study aims to see whether TikTok can increase brand awareness, customer interaction, and product sales. Methodology/approach: This research uses a quantitative approach. Data were collected through surveys, interviews, and direct observations of MSME owners who actively use TikTok for marketing their products. The study was conducted specifically in Cicarimanah Village, Situraja District, Sumedang Regency, and focused on local MSMEs that utilize TikTok as part of their marketing efforts. No specific software or brand tools were mentioned, but the TikTok platform was central in the data collection and analysis process. Results/findings: The findings show that using TikTok for digital marketing has a positive effect on MSMEs. It helps in increasing brand awareness, improving customer engagement, and boosting product sales. TikTok allows MSMEs to promote their products in a creative, interactive, and effective way. Conclusion: TikTok has strong potential as a marketing tool for UMKM in Cicarimanah. Its effective use requires digital skills, creative content, platform integration, and data-driven strategies to support brand growth and business development. Limitations: The study is limited to MSMEs in one village only, so the results may not represent MSMEs in other regions or sectors. Also, the study does not explore long-term impacts or compare TikTok with other digital marketing platforms Contribution: This research contributes to the field of digital marketing and entrepreneurship development, especially for rural MSMEs. It provides practical insights for small business owners, marketing practitioners, and policymakers on how social media particularly TikTok can be used as a low-cost and high-impact marketing tool to help MSMEs grow and reach wider audiences.
Implementasi Algoritma Random Forest dalam Pengukuran Kesiapan Transformasi Digital Desa Kaduwulung Menuju Desa Cerdas Berbasis SNI ISO 37122:2019 Esa Firmansyah; Muhammad Agreindra Helmiawan; Dody Herdiana; Dwi Yuniarto
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 19 No. 2 (2025): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

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

Abstract

The readiness of healthcare workers and village officials in adopting digital technology is a decisive factor for the success of transforming into a smart village. This study aims to measure the digital transformation readiness level of Kaduwulung Village using the SNI ISO 37122:2019 standard through village data mapping and the implementation of the Random Forest algorithm for digital maturity classification. The research methodology employs a quantitative approach using the Design Thinking model combined with the Technology Acceptance Model (TAM) evaluation. The design results demonstrate that the integration of automated scoring features can assist in faster decision-making for public services. Based on the testing, the system obtained a System Usability Scale (SUS) score of 74 and a User Experience Questionnaire (UEQ) score of 1.98, proving that technology adoption readiness is significantly influenced by ease of navigation and system infrastructure support.
The Development and preliminary usability testing of a digital reproductive health education model for maternal preparedness in disaster-prone areas Dini Afriani; Gita Arisara; Hana Fitria Andayani; Muhammad Agreindra Helmiawan
MEDISAINS: Jurnal Ilmiah Ilmu-Ilmu Kesehatan Vol. 24 No. 2 (2026)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/medisains.v24i2.31177

Abstract

Background: Pregnant women are particularly vulnerable during disasters because disruptions in healthcare services, limited access to reproductive health information, and inadequate disaster preparedness may compromise continuity of maternal care. Maternal health education and disaster-preparedness interventions are often delivered separately, highlighting the need for an integrated digital approach. Purpose: This study aimed to develop a digital reproductive health education model for maternal preparedness in disaster-prone areas and evaluate its preliminary usability among intended users. Methods: This study employed Type 1 Design and Development Research consisting of four phases: needs assessment, prototype design and development, expert evaluation and refinement, and preliminary usability testing. The needs assessment included a survey of 32 pregnant women and semi-structured interviews with five participants. Quantitative and qualitative findings from the needs assessment were integrated to inform the design requirements for the digital model. Four multidisciplinary experts evaluated the prototype, which underwent two revision cycles before preliminary usability testing with 10 pregnant women. Quantitative data were analyzed descriptively, while qualitative interview data were analyzed thematically. Results: The needs assessment identified limited disaster preparedness, barriers to maternal healthcare access during emergencies, and substantial educational needs. Four qualitative themes reflected uncertainty during disasters, difficulties accessing maternal healthcare, fragmented health information, and preference for an integrated digital platform. Based on these findings, a digital reproductive health education model named LERINA (Layanan Edukasi Kesehatan Reproduksi Tanggap Bencana) was developed, comprising six integrated modules: education, preparedness assessment, maternal monitoring, emergency support, consultation, and an administrative dashboard. Expert evaluation yielded mean scores of 4.74 for content and 4.78 for interface. Preliminary user testing demonstrated favorable usability, with an overall score of 4.71 ± 0.28. Conclusion: LERINA, a needs-informed digital reproductive health education model, was systematically developed and demonstrated favorable preliminary usability among intended users. Further studies are needed to evaluate its acceptability, implementation feasibility, effectiveness, and broader applicability.
Investigating the Mediating Role of Cybersecurity Awareness in Bridging Cognitive Factors and Secure Behavioural Intentions: A Quantitative Approach Using PLS-SEM Muhammad Agreindra Helmiawan; Yanyan Sofiyan; Esa Firmansyah; Dody Herdiana; Irfan Fadil; Titik Khawa Abdul Rahman
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 4 (2026): JUTIF Volume 7, Number 4, August 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.4.5716

Abstract

Cybersecurity threats have become increasingly sophisticated, rendering the human element a critical vulnerability despite advanced technical safeguards. This study investigates the cognitive drivers of cybersecurity awareness and secure behaviour through the lens of Protection Motivation Theory (PMT), specifically examining the mediating role of Cybersecurity Awareness (CA). A quantitative approach using Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to analyse data from students and faculty members in a higher education setting. The findings substantiate that Self-Efficacy (β=0.412,p<0.05) and Response Efficacy (β=0.385,p<0.05) are significant predictors of CA, with the model achieving a robust R2 value of 0.703. Crucially, the mediation analysis identifies CA as a vital cognitive bridge that translates internal confidence into Secure Behavioural Intentions. These results offer an integrated framework for developing targeted intervention strategies in academic institutions. For the field of Informatics, this research underscores the urgency of designing human-centric security systems that prioritize psychological empowerment to foster sustainable digital resilience against an evolving threat landscape.
Evaluasi Algoritma Machine Learning untuk Klasifikasi URL Berbahaya Menggunakan Fitur Leksikal Muhammad Rizal Daffa Khoirudin; Muhammad Agreindra Helmiawan; Dody Herdiana
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 4 No. 3 (2026): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v4i3.6617

Abstract

The growth of digital services has increased the risk of malicious URLs, such as those used for phishing, malware, and website defacement, making rapid and accurate detection mechanisms essential. This study aims to evaluate the performance of five machine learning algorithms Logistic Regression, Decision Tree, Random Forest, HistGradient Boosting, and Gaussian Naive Bayes, in classifying URLs into four classes using lexical features extracted directly from the URL structure. The dataset used is the Malicious URLs Dataset from Kaggle, which, after preprocessing, yielded 641,113 URLs. Each URL was transformed into 25 lexical features, and the data was then split using a stratified split with an 80:20 ratio. Evaluation was conducted using the metrics accuracy, precision, recall, macro F1-score, and confusion matrix, along with an experiment involving the removal of protocol features to analyze its impact on model performance. The results showed that Random Forest delivered the best performance with an accuracy of 94.98% and a macro F1-score of 93.03%, outperforming the other algorithms tested. Protocol feature removal reduced the performance of all models; however, Random Forest maintained a high level of accuracy, indicating that the combination of lexical features effectively represents the characteristics of URLs. These findings indicate that an approach based on lexical features and Random Forest has the potential to be a lightweight, efficient, and reliable solution for supporting the multi-class detection of malicious URLs in cybersecurity systems.
Co-Authors Ade Iskandar Nasution Agung Febrian Akmal Muhammad Poetra Al Ghifari*, muhammadMuhammad Alvin Al-Fajr, Fikry Haikal Anggit Suryopratomo Anugrah, Robi Apriliani, Insani Arifin Arifin Arisara, Gita Asep Saeppani Billy Ramdhani Dadang Budi Hermawan Dani Indra Juna Darmawan, Sofyan Deni Heryanto, Deni Dian Budiana Dini Afriani Dody Herdiana Dwi Yuniarto Eggi Julian Esa Firmansyah Esa Firmansyah Esa Firmansyah Esa Firmansyah Fatimah, Siti Ainun Fidi Supriadi Firmansyah, Esa Ghina Husnulmar’ati Hana Fitria Andayani Husnulmar’ati, Ghina Indri Tri Julianto Irfan Fadil Khairil Sidik Lusi Tsulutsiah Nur F Mahardika, Fathoni Maulana , Moch Agus Tono Muhammad Arifin Ilham Muhammad Firmansyah, Muhammad Muhammad Luthfi Al Ghaazi Muhammad Rizal Daffa Khoirudin Nendi Mardiansyah Nova Indrayana Yusman Nugraha, Novan Bayu Nur F, Lusi Tsulutsiah Rahman, Titik Khawa Abdul Rony Hidayat Sutisna Rospita, Sonia Setiawan, Hilal Naufal Sidiq, Adityansyach Umar Silva Alviyani Siti Ainun Fatimah Sopian, Yan Yan Subiyakto, A’ang Surya Manggala, Ramdani Titik Khawa Abdul Rahman Vemy Suci Asih xMuhammad Andi Firmansyah Yan Yan Sofian Yan Yan Sofiyan Yanyan Sofiyan Yanyan Sofiyan Yayan Cahyan Yopi Hidayatul Akbar Yusfita Yusuf Zulhelmi, Tiara