Article Per Year (5 Year)
p-Index From 2021 - 2026
0.92
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Amalee: Indonesian Journal of Community Research & Engagement Indonesian Community Journal Jurnal Teras Pengabdian Masyarakat
Afril Efan Pajri
Program Studi Sistem Komputer, Universitas Nahdlatul Ulama Sunan Giri
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Public Health Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pelatihan Strategi Pemasaran Digital untuk Meningkatkan Daya Saing UMKM Desa Ngeper, Kabupaten Bojonegoro di Era Ekonomi Digital Sahri Sahri; M. Iqbal Tawakkal; Afril Efan Pajri; Nanda Sahita; Pepbelia Veronyca
I-Com: Indonesian Community Journal Vol 5 No 2 (2025): I-Com: Indonesian Community Journal (Juni 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i2.7476

Abstract

Pelaku UMKM di Desa Ngeper, Kecamatan Padangan, Kabupaten Bojonegoro, menghadapi kendala dalam memasarkan produk secara digital akibat minimnya pengetahuan dan keterampilan di bidang digital marketing. Kegiatan pengabdian ini bertujuan untuk meningkatkan kapasitas pelaku usaha dalam memanfaatkan media digital guna memperluas pasar dan daya saing. Metode pelaksanaan menggunakan pendekatan ABCD (Asset-Based Community Development) yang menekankan pada penguatan potensi lokal melalui tahapan Discovery, Dream, Design, dan Delivery. Kegiatan Pelatihan diikuti oleh UMKM yang ada di desa ngeper sebanyak 21 Peserta. Pelatihan dilaksanakan selama dua hari dan mencakup materi strategi pemasaran online, pembuatan akun bisnis, konten promosi, serta praktik langsung. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta, yang dibuktikan melalui hasil post-test dan partisipasi aktif selama pelatihan, Rata-rata nilai post-test mengalami kenaikan sebesar 25 poin atau sekitar 45%. Kegiatan ini mendorong transformasi digital UMKM secara berkelanjutan dan membangun sinergi antara perguruan tinggi, pemerintah desa, dan masyarakat.
Digitalisasi untuk Penguatan Tata Kelola Koperasi Desa Merah Putih Afril Efan Pajri; Ita Aristia Sa’ida
Jurnal Teras Pengabdian Masyarakat Vol. 2 No. 1: Januari (2026)
Publisher : PT. Teras Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64479/jtpm.v2i1.54

Abstract

Digital transformation in cooperatives has become an urgent necessity in the era of Industry 4.0 and Society 5.0. This study aims to develop and implement a web-based cooperative management system in Koperasi Desa Merah Putih to enhance efficiency, accuracy, transparency, and member participation. The research employed a research and development (R&D) method with a participatory approach, involving cooperative managers and members throughout the stages of needs analysis, system design, implementation, and evaluation. The results indicate that the digital system significantly improves administrative efficiency by more than 50%, reduces recording errors by over 70%, and provides real-time financial reports accessible to members. Furthermore, the system fosters digital literacy among cooperative managers and members, although several challenges remain, such as limited internet infrastructure, human resource readiness, and the need for continuous system maintenance. Practically, this study offers a ready-to-use digital cooperative system that can serve as a model for other rural cooperatives. Academically, it strengthens the literature on cooperative digitalization as a strategy to enhance governance, build member trust, and promote sustainable rural economic development.
TikTok Sentiment Analysis on Koperasi Merah Putih Using SVM and ANN Meliysa Pasa Bagna Aprilia Said; Kholifatus Sholihah; Ifnu Wisma Dwi Prastya; Afril Efan Pajri
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13394

Abstract

TikTok has become a relevant social media source for observing public responses to public issues, including the Koperasi Merah Putih program. This study compares Support Vector Machine (SVM) and Artificial Neural Network (ANN) for classifying sentiment in TikTok comments. The dataset was obtained through TikTok comment scraping and consisted of 25,669 raw comments. After removing empty comments and applying preprocessing stages consisting of cleaning, case folding, normalization, tokenization, stopword removal, and stemming, 21,026 comments were used for sentiment analysis. Sentiment labels were generated automatically using a lexicon-based sentiment labeling approach and grouped into three classes: positive, negative, and neutral. TF-IDF was used for feature extraction with a maximum of 5,000 features and unigram-bigram representation. The dataset was split into training and testing sets with an 80:20 ratio, while Stratified K-Fold Cross Validation and SMOTE were applied to strengthen evaluation and address class imbalance. The results show that SVM achieved the best overall performance before SMOTE with an accuracy of 86.66% and an F1-score of 86.76%. ANN achieved an accuracy of 85.31% before SMOTE and improved slightly after SMOTE to 85.47%. These findings indicate that SVM is more stable for TF-IDF-based TikTok comment classification, while SMOTE can improve ANN performance slightly but does not always increase all models equally.
Penguatan Kualitas Produk, Pengelolaan, dan Pemasaran Sirup Sapodilla 'Putri' Siti Shoimah; Afril Efan Pajri; Fatichatur Rochmaniyah; Eka Fadlilatus Saadah; Muhammad Sholihin
Amalee: Indonesian Journal of Community Research and Engagement Vol. 6 No. 2 (2025): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v6i2.8124

Abstract

This community service program was carried out to empower the Home Industry (IRT) of “Putri” Sapodilla Syrup in Pangkatrejo Village, Sugio Subdistrict, Lamongan. The partner faced challenges in three main aspects: inconsistent product quality and a short shelf life due to limited production technology, weak business management systems and financial record-keeping, and a marketing strategy limited to conventional promotional methods. The implementation method consisted of five stages: socialization, training, application of appropriate technology, mentoring, and evaluation. Interventions included the use of pasteurization machines, heavy-duty blenders, pH meters, refractometers, and vacuum sealers to improve product hygiene and shelf life. In terms of management, training was provided on digital financial recording, brand identity development, and simple business archiving. In marketing, redesigned packaging was introduced through Canva Pro, the activation of social media accounts (Instagram and TikTok), and distribution via e-commerce platforms (Shopee). The results showed significant improvements: the syrup product can now last up to three months without preservatives, sales increased by up to 30% within six months, and the partner’s managerial skills improved through digital record-keeping. Specifically, the partner’s average monthly revenue increased from IDR 3,000,000 before the program to approximately IDR 4,000,000 - 4,200,000 after the interventions. This program contributes to the achievement of SDGs 8, 9, and 12, and supports the strengthening of a green economy based on local potential.  
Co-Authors Aprillia Dwi Ardianti Eka Fadlilatus Saadah Fatichatur Rochmaniyah Ifnu Wisma Dwi Prastya Ita Aristia Sa’ida Kholifatus Sholihah M. Iqbal Tawakkal Meliysa Pasa Bagna Aprilia Said Muhammad Sholihin Nanda Sahita Pepbelia Veronyca Sahri Sahri Silviana Agustin Siti Shoimah