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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceeding SENDI_U JMAI (Jurnal Multimedia & Artificial Intelligence) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotech: Journal of Technology Information Proceeding of International Conference Health, Science And Technology (ICOHETECH) Bengawan :Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Digulis: Jurnal Pengabdian Pada Masyarakat
Suryani, Fajar
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences

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Instagram Influencer Recommendation System Based On Content-Based Filtering To Support Digital Marketing Strategy Az Zahra, Erika Oktaviana; Pramono, Pramono; Suryani, Fajar
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6939

Abstract

Influencer marketing is a popular promotional strategy on Instagram that involves influential individuals or public figures to promote products. However, there are problems where companies still find it difficult to find the right influencers. This research aims to build a Content-Based Filtering-based Instagram influencer recommendation system to support digital marketing strategies. The system development method used is Rapid Application Development (RAD) with 4 stages, namely requirements planning, system design, development, and implementation. With this system, users can recommend other influencers who have similar characteristics such as number of followers, average likes, and comments, engagement rate, and growth rate. System testing was conducted on 10 test data with different inputs. The results showed that 9 out of 10 tests matched the user input, indicating a system accuracy of 90% and has the potential to assist users in selecting relevant influencers.
Perancangan IoT-Based Sport Health Assistant untuk Monitoring Kesehatan Saat Berolahraga Suryani, Fajar; Nurchim; Prasetya, Ian Putra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 4 No. 2 (2025)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v4.i2.40328

Abstract

Kematian mendadak saat berolahraga sering terjadi akibat kurangnya pemantauan kondisi tubuh secara real-time. Penelitian ini bertujuan merancang IoT-Based Sport Health Assistant untuk memonitor kesehatan saat berolahraga dengan mengukur detak jantung, suhu tubuh, dan kadar oksigen (SpO₂) secara langsung selama aktivitas fisik. Sistem ini menggunakan mikrokontroler ESP32, sensor MAX30100 untuk detak jantung dan SpO₂, serta sensor MLX90614 untuk suhu tubuh. Data dikirim secara berkala ke server Node.js, disimpan dalam database PostgreSQL, dan ditampilkan dalam grafik pada aplikasi berbasis web. Prototipe dirancang portabel dan dapat dipasang di lengan menggunakan armband. Pengujian dilakukan pada 10 subjek berusia 18–30 tahun dengan membandingkan hasil alat dengan alat medis standar seperti oxymeter dan termometer inframerah. Hasil ketiga sensor (detak jantung, oksigen, suhu) memiliki p-value > 0.05, hal tersebut menunjukkan bahwa sistem bekerja dengan baik. Prototipe ini dapat menjadi solusi awal dalam upaya pencegahan risiko kesehatan saat berolahraga.
Modeling Of Centralized Exchange (CEX) Crypto Asset Platform Recommendation System Using Collaborative Filtering Utomo, Diva Reihan Ferdian; Nastiti, Faulinda Ely; Suryani, Fajar
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7179

Abstract

The rapid growth of crypto assets and the variety of Centralized Exchange (CEX) platforms make it difficult for traders to choose a platform that fits their preferences. This research aims to model a recommendation system for CEX platforms using Collaborative Filtering. User rating data for several CEX (Binance, Bybit, Bitget, Tokocrypto, Indodax) were collected via questionnaire. The K-Nearest Neighbors With Means (KNN With Means) method with cosine similarity is used to predict ratings based on the similarity of preferences between users. The model was trained and tested with a 75:25 train-test split. Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) were used as evaluation metrics. Test results show low MAE and RMSE values (around below 1.0 on a 1–5 rating scale), indicating that the recommendations generated are quite accurate. It can be concluded that the Collaborative Filtering approach is effective in recommending CEX platforms according to user needs. This recommendation system is expected to assist traders – especially beginners – in choosing the right exchange more objectively.
THE ROLE OF THE WEB AS A COMMUNICATION MEDIA IN IMPROVING PUBLIC SERVICES THE GOVERNMENT Yuliana, Margaretha Evi; Suryani, Fajar; Ganesan, Thinesh
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/smt2j598

Abstract

This study aims to describe the role of the web as a communication media in improving public services provided by the Government. This research uses a descriptive method as its type and a quantitative approach. The research location is in one of subdistricts to determine the feasibility of using the web in public service. Data collection through questionnaires was an effective technique to measure and gain insight into what the respondents wanted to convey.The study titled “The Role of the Web as a Communication Media in Improving Public Services The Government,” a closed-ended questionnaire technique was chosen to make it easier and more comfortable for respondents to answer, while also simplifying data collection for the researcher. The results of the study show that the community found the web system easy to understand and use. Furthermore, there was an improvement and acceleration in the administrative services for population documentation. The existence of the population web system has enhanced public services in managing civil administration. Based on these aspects, it can be concluded that public services are very good.
Aplikasi Mobile Ensiklopedia Dermatologi sebagai Upaya Deteksi Dini Penyakit Kulit Suryani, Fajar; Srirahayu, Agustina; Triyono, Triyono
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI (Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

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

Abstract

Many variations in the clinical picture of a skin disease, and conversely one form of clinical abnormality can be found in several diseases. This kind of thing is very important to know and learn by medical health personnel, paramedics and medical and nursing students. In addition, there are many lists of diseases that must be mastered by medical doctors and medical student graduates, which are an absolute requirement that must be met. This condition requires obtaining information practically anywhere at any time. This study aims to develop an Android-based Dermatology Encyclopedia application which contains information on skin diseases that must be mastered by doctors in primary health care facilities based on Indonesian Doctor Competency Standards. The application is used to help medical personnel, young doctors (coas), medical students and ordinary people in obtaining information about skin and venereal diseases, starting from symptoms, history taking, differential diagnosis of skin diseases and providing advice on treatment or management in the form of text or images.
Optimalisasi Google Classroom untuk peningkatan kompetensi guru dalam evaluasi pembelajaran di SMK Muhammadiyah 1 Baturetno Pramono; Suryani, Fajar
Digulis: Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 2 (2026): Juni 2026
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/djpkm.v4i2.107798

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru di SMK Muhammadiyah 1 Baturetno dalam memanfaatkan Google Classroom, khususnya terkait manajemen tugas dan evaluasi pembelajaran. Permasalahan utama yang dihadapi mitra adalah penggunaan Learning Management System (LMS) yang belum optimal dan sebatas pada distribusi materi, belum menyentuh aspek evaluasi digital yang terstruktur. Metode pelaksanaan kegiatan meliputi empat tahapan utama: persiapan (analisis kebutuhan), pelaksanaan workshop (teori dan praktik langsung), pendampingan, serta evaluasi. Hasil kegiatan menunjukkan peningkatan kemampuan peserta secara signifikan, ditandai dengan 92% guru merasa lebih percaya diri dalam menggunakan fitur lanjutan Google Classroom dan 86% menyatakan komitmen untuk menerapkannya secara rutin. Kesimpulan dari kegiatan ini adalah workshop dan pendampingan efektif dalam memperkuat keterampilan manajemen kelas digital guru, sehingga mendukung proses pembelajaran yang lebih transparan, objektif, dan berbasis teknologi.
Co-Authors Abdul Aziz, Fitroh Ahmad Agustina Sri Rahayu Agustina Srirahayu Az Zahra, Erika Oktaviana Bangun Prajadi Cipto Utomo Brima Aribowo Dwi Hartanti FAULINDA ELY NASTITI Fitri Amelia Ganesan, Thinesh Indra Adidaya Iswardani, Ardymulya Margaretha Evi Yuliana Moh. Muhtarom, Moh. Nahrin, Sari Nuralita Nurchim Permatasari, Dian Anggraheni Pramono Pramono Pramono Prasetya, Ian Putra Rahadian Kurniawan Sasmito, Dinda Eling Kartikaning Triyono Triyono Triyono Utomo, Diva Reihan Ferdian