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All Journal Jurnal EMT KITA AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) International Journal of Management Science and Information Technology (IJMSIT) Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Inovasi Bisnis Manajemen dan Akuntansi Insight Management And Business JCSE: Journal of Community Service and Empowerment DIBINOM(Digital Business and Economics Journal)
Andri Nofiar. Am
Politeknik Negeri Bengkalis
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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Penguatan Branding dan Digital Marketing Produk Kerajinan Lidi Sawit pada Umkm  “Rezki Kreasi Lidi” Di Kota Dumai Eli Anggre Yeny; Andri Nofiar. Am; Burhan Hafid; M. Alkadri Perdana
JCSE: Journal of Community Service and Empowerment Vol. 7 No. 1 (2026): JCSE April 2026
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/n7zckd02

Abstract

Digital technology provides opportunities for MSMEs to improve marketing and business competitiveness. However, MSME “Rezki Kreasi Lidi” in Dumai City had not utilized digital media optimally. This community service activity aimed to strengthen branding and improve digital marketing through Google My Business optimization, social media development, and digital promotional content creation. The methods used included observation, SWOT analysis, STP analysis, and digital marketing assistance. The results showed increased business visibility, wider market reach, active social media usage, and increased monthly income from Rp500,000 to Rp735,000. This activity indicates that digital marketing can improve the competitiveness of environmentally friendly palm stick handicraft MSMEs.
Development of a Mixed Reality Based Learning Application for Microcontroller Education Using the Luther Sutopo Multimedia Development Method Antoni Pribadi; Ratu Natalia Marjani Ufayrah; Andri Nofiar. Am; Nurkholis Nurkholis; M. Alkadri Perdana
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6817

Abstract

The rapid advancement of immersive technologies has created new opportunities to improve learning effectiveness, particularly in technical education such as microcontroller systems. Conventional teaching methods still rely heavily on static visualizations and theoretical explanations, which limit students' ability to understand complex hardware interactions. A mixed reality (MR)-based learning application was developed to improve students' conceptual understanding of microcontroller components and their functions in an interactive and immersive environment. The development process followed the Luther–Sutopo multimedia development method, consisting of six stages: concept, design, material collecting, assembly, testing, and distribution. The application was built using Unity and Blender and deployed on the Oculus Meta Quest 2 platform. Usability testing involved 10 vocational students with prior knowledge of microcontrollers. The application achieved an average usability score of 4.54 out of 5 (90.8%), placing it within the "very feasible" category. Beyond feasibility metrics, the system appeared to strengthen students' spatial understanding, engagement, and interaction with microcontroller components. These findings suggest that pairing mixed reality with a structured multimedia development model can meaningfully improve the effectiveness of technical education.
Pengaruh Citra Merek dan Kualitas Pelayanan terhadap Loyalitas Pelanggan pada Yourdayflower di Bangkinang Rahmad Akbar; Dzulhijjah Yetti; Hayatul Khairul Rahmat; Andri Nofiar. Am; Nurkholis
Jurnal Inovasi Bisnis Manajemen dan Akuntansi Vol. 4 No. 2 (2026): JIBMA : Jurnal Inovasi Bisnis Manajemen dan Akuntansi
Publisher : PT. Karya Inovatif Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65255/jibma.v4i2.307

Abstract

This study was designed to explore the extent to which the strength of brand image and the standards of service quality are able to solidify customer loyalty at Yourdayflower in Bangkinang. Adopting a quantitative approach with an associative research design, this study involved 98 customers as respondents who contributed data through a structured questionnaire. All collected data were processed using multiple linear regression analysis via SPSS, having successfully passed a series of prerequisite tests including validity, reliability, and classical assumption tests to ensure model accuracy. The empirical findings reveal that all research indicators possess a high level of reliability. Furthermore, the established model proved to meet the standards of normality and is free from the disturbances of multicollinearity and heteroscedasticity. Statistically, both brand image and service quality demonstrate a positive contribution toward customer loyalty, both when tested independently (partially) and collectively (simultaneously). A compelling discovery in this research is that service quality plays a more crucial and prominent role than brand image in anchoring customer loyalty. These findings offer practical implications for the management of Yourdayflower to consistently prioritize service refinement and the strengthening of brand identity as strategic steps in creating harmonious, long-term relationships with their clientele.
Pengaruh Strategi Digital Marketing dan Citra Merek terhadap Keputusan Pembelian Konsumen pada Coffee Shop di Bangkinang Andri Nofiar. Am; Supriati; Tri Handayani; Rahmad Akbar; Dzulhijjah Yetti
DIBINOM : Digital Business, Economic Jurnal Vol 2 No 1 (2026): DIBINOM : Digital Business, Economic Journal
Publisher : Prodi Bisnis Digital Fakultas Ekonomi Dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/dibinom.v2i1.1783

Abstract

This study offers a comprehensive analysis of the factors driving consumer behavior within the vibrant coffee shop industry in Bangkinang, specifically focusing on the interplay between digital marketing strategies and brand image. Employing a quantitative associative research design, the investigation gathered empirical data from 98 purposively selected respondents. The analytical process involved multiple linear regression, preceded by rigorous testing for validity, reliability, and classical assumptions to ensure data integrity. The findings reveal a compelling narrative: while a well executed digital marketing strategy significantly boosts purchasing decisions, it is the strength of a brand’s image that emerges as the most dominant catalyst in the consumer's final choice. Both variables, when acting in synergy, provide a robust explanation for the fluctuations in local purchasing trends. These results underscore a critical strategic insight for entrepreneurs: simply having a digital presence is insufficient. To thrive in a competitive landscape, coffee shop owners must prioritize the cultivation of a distinctive and trustworthy brand identity. By integrating sophisticated digital outreach with a resonant brand story, businesses can effectively enhance their market appeal and secure long term consumer loyalty. Consequently, this research advocates for a balanced strategic approach to maximize business competitiveness in the modern digital era.
Analisis Pengaruh Reputasi Toko terhadap Keputusan Pembelian pada Toko Glad2glow di Marketplace Shopee (Studi Kasus pada Masyarakat di Kecamatan Bengkalis) Febri Holong Marito Situmorang; Andri Nofiar. Am
Jurnal EMT KITA Vol 10 No 4 (2026): OCTOBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i4.7248

Abstract

This study aims to analyze the effect of store reputation on consumer purchasing decisions on the Shopee e-commerce platform, with a case study of the people of Bengkalis District. This research employed a quantitative approach with an associative research design. The sample consisted of 100 respondents selected using the Lemeshow formula and purposive sampling technique. Data were collected through questionnaires measured using a Likert scale and analyzed using validity and reliability tests, classical assumption tests, and simple linear regression analysis with the assistance of IBM SPSS Statistics. The results indicate that store reputation has a positive and significant effect on consumer purchasing decisions, as evidenced by a t-value of 3.798 and a significance level of 0.000. The coefficient of determination analysis shows an R² value of 0.128, indicating that store reputation explains 12.8% of the variation in consumer purchasing decisions, while the remaining 87.2% is influenced by other factors outside the research model. This study concludes that store reputation is an important factor in building consumer trust and encouraging purchasing decisions, particularly among the people of Bengkalis who are increasingly active in using e-commerce platforms.
Hubungan Antara Ketiadaan Laptop Dengan Keterlambatan Pengumpulan Tugas Mahasiswa: Shahidah Ramadhani; Salwa Salwa; Suci Tasya Ramadhani; Citi Sarah; Andri Nofiar. AM; Wan Junita Raflah
Insight Management and Business (IMB) Vol 4 No 1 (2026): IMB 2026
Publisher : Institut Riset dan Publikasi Asas Nusantara.

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

Abstract

Penelitian ini bertujuan menganalisis pengaruh ketiadaan laptop terhadap keterlambatan pengumpulan tugas mahasiswa di perguruan tinggi. Dalam pembelajaran berbasis digital, ketersediaan laptop menjadi salah satu faktor penting yang mendukung penyelesaian dan pengumpulan tugas akademik secara tepat waktu. Penelitian menggunakan pendekatan kuantitatif dengan desain korelasional. Sampel penelitian terdiri atas 120 mahasiswa aktif di salah satu politeknik negeri di Indonesia yang dipilih menggunakan teknik purposive sampling berdasarkan keterbatasan atau ketiadaan akses terhadap laptop pribadi. Pengumpulan data dilakukan melalui kuesioner berskala Likert lima poin, kemudian dianalisis menggunakan uji validitas, uji reliabilitas, uji asumsi klasik, dan regresi linear sederhana. Hasil penelitian menunjukkan bahwa ketiadaan laptop berpengaruh positif dan signifikan terhadap keterlambatan pengumpulan tugas mahasiswa. Nilai koefisien determinasi (R²) sebesar 0,978 menunjukkan bahwa 97,8% variasi keterlambatan pengumpulan tugas dapat dijelaskan oleh variabel ketiadaan laptop, sedangkan 2,2% sisanya dipengaruhi oleh faktor lain, seperti akses internet, motivasi belajar, dan manajemen waktu. Temuan ini menunjukkan bahwa akses terhadap perangkat digital merupakan faktor eksternal yang berperan penting dalam mendukung kinerja akademik mahasiswa serta menjadi dasar bagi perguruan tinggi dalam merumuskan kebijakan peningkatan akses terhadap fasilitas pembelajaran berbasis teknologi
Pelatihan Produksi Energi Ramah Lingkungan Berbasis Limbah Buah-Buahan sebagai Upaya Mewujudkan Desa Mandiri Energi di Desa Babussalam, Rokan Hulu M. Alkadri Perdana; Johny Custer; Andri Nofiar. Am; Larbiel Hadi
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.651

Abstract

This community service activity aims to improve the knowledge and skills of residents in Babussalam Village, Rokan Hulu Regency, in processing fruit waste into environmentally friendly energy through simple pyrolysis technology. The activity addresses the abundance of unutilized fruit waste that potentially causes environmental pollution. Conducted on October 30, 2025, with 20 participants from the local community and BUMDes Babussalam, the activity employed participatory methods including socialization, technical training, and ongoing mentoring. Results showed an 85% understanding level of renewable energy, based on pre-test and post-test evaluations improving from 45% to 85%. Participants successfully produced bio-oil and activated charcoal through direct pyrolysis practice using equipment developed from applied research. A village working group was also established under BUMDes Babussalam coordination to develop self-sufficient energy initiatives. The activity proves that integrating applied research, appropriate technology, and community participation creates an effective model for community-based energy empowerment, supporting national energy security and Sustainable Development Goals, particularly Goal 7 on clean energy and Goal 11 on sustainable communities.
Analysis of The Effect of Sales Promotion on Consumer Purchase Decisions at Alfamart in Bengkalis Subdistrict Nafta Melda Wati Napitupulu; Muhammad Arif; Andri Nofiar. Am
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7811

Abstract

This study aimed to analyze respondents' perceptions of sales promotion, respondents' perceptions of consumer purchase decisions, and the effect of sales promotion on consumer purchase decisions at Alfamart in Bengkalis Subdistrict. This study employed an associative research design using a quantitative approach. Data were collected through a questionnaire distributed via a QR code linked to Google Forms, using a non-probability sampling method, specifically the snowball sampling technique. The sample consisted of 100 residents of Bengkalis Subdistrict who had made purchases through sales promotions at Alfamart. The descriptive analysis showed that the sales promotion variable had a mean score of 3.39 (moderate category), while the consumer purchase decision variable had a mean score of 3.44 (high category). Hypothesis testing showed that the calculated t-value (14.265) was higher than the critical t-value (1.661), with a significance value of 0.000 (< α = 0.05). The correlation coefficient (R) was 0.822, and the coefficient of determination (R-squared) was 0.675, indicating that sales promotion influenced consumer purchase decisions by 67.5%, while the remaining 32.5% was explained by other variables not examined in this study. Thus, it can be concluded that sales promotion has a positive and significant effect on consumer purchase decisions at Alfamart in Bengkalis Subdistrict. Therefore, Ho was rejected, and Ha was accepted.
Pemetaan dan Analisis Permukaan Serangan (Attack Surface) Sistem Elektronik Pemerintah Daerah Melalui Identifikasi Subdomain Resmi Slamet Triyanto; Safni Marwa; Andri Nofiar. Am
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 1 (2026): Maret: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i1.1386

Abstract

The number of cyberattack incidents recorded by the Badan Siber dan Sandi Negara (BSSN) reached 3.64 million by mid-2025. The majority of these incidents targeted government systems. As of June 2023, Riau Province, which comprises 12 regencies and municipalities, recorded the highest number of incidents among governmental institutions in Indonesia, totaling 54,313,225 cases. The results of domain and subdomain scanning conducted across Riau Province and its regencies/municipalities identified 5,252 public electronic systems. Among these, a significant portion consisted of inactive domains or parking domains, installer pages, landing pages, expired SSL certificates, development pages, and systems potentially utilizing outdated technologies. Although the use of obsolete technologies cannot be conclusively confirmed, this indication is reflected in the number of domains and subdomains affected by web defacement incidents.To ensure that the research process did not violate applicable legal and ethical standards, domain and subdomain scanning and examination were conducted exclusively using publicly available tools, such as web browsers and Subfinder. Furthermore, no deeper penetration testing was performed on the identified findings. This limitation justifies the unavailability of definitive information regarding the use of outdated systems. Finally, asset identification constitutes a crucial stage, enabling the implementation of further measures for incident handling and mitigation efforts aimed at preventing future cyber incidents.
Deteksi Penyakit Daun Padi Berbasis Deep Learning untuk Pertanian Presisi: Studi Komparatif ResNet-18 dan Arsitektur CNN Putrama Alkhairi; Harly Okprana; Andri Nofiar. Am
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 3 No. 4 (2025): Desember: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v3i4.1532

Abstract

Rice plant diseases can reduce agricultural productivity and yield quality, highlighting the need for rapid and accurate identification methods to support precision agriculture. This study evaluates four deep learning architectures—ResNet-18, VGG-16, MobileNetV2, and Inception V3—for rice leaf disease classification using digital images. The dataset underwent preprocessing and augmentation before training, while transfer learning with ImageNet pre-trained weights was applied. Models were trained using CrossEntropyLoss and Adam optimizer with a learning rate of 0.0001 for 10 epochs. Performance was evaluated using accuracy, precision, recall, F1-score, AUC, and confusion matrix. Results demonstrate that the proposed ResNet-18 achieved the best overall performance, obtaining 96.94% accuracy, 100% precision, 95.45% recall, 96.18% F1-score, and 1.00 AUC. Inception V3 and MobileNetV2 showed competitive performance, whereas VGG-16 achieved relatively lower recall. These findings indicate that ResNet-18 provides effective feature representation and stable learning, demonstrating strong potential for rice leaf disease classification and future integration into mobile, field-camera, and IoT-based precision agriculture systems.
Co-Authors Antoni Pribadi Burhan Hafid Citi Sarah Custer, Johny Dzulhijjah Yetti Eli Anggre Yeny Febri Holong Marito Situmorang Hayatul Khairul Rahmat Larbiel Hadi Mohammad Alkadri Perdana Muhammad Arif Nafta Melda Wati Napitupulu Nurkholis Nurkholis Okprana, Harly Putrama Alkhairi Rahmad Akbar Ratu Natalia Marjani Ufayrah Safni Marwa Salwa Salwa Shahidah Ramadhani Slamet Triyanto Suci Tasya Ramadhani Supriati Tri Handayani Wan Junita Raflah