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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JUPITER (Jurnal Pendidikan Teknik Elektro) 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
Suryani, Fajar
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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Analisis Dampak Chatgpt Terhadap Kreativitas Dan Produktivitas Siswa Dalam Penulisan Naskah Broadcasting Suryani, Fajar; Cipto Utomo, Bangun Prajadi
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 10 No 2 (2024): Desember
Publisher : Politeknik Indonusa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/informa.v10i2.276

Abstract

Penelitian ini bertujuan untuk menganalisis dampak penggunaan teknologi AI, khususnya ChatGPT, dalam penulisan naskah broadcasting pada penugasan siswa. Permasalahan yang dihadapi adalah bagaimana AI dapat meningkatkan kreativitas dan produktivitas siswa dalam penulisan naskah, sekaligus mengidentifikasi tantangan dan keterbatasan yang timbul dalam penerapannya. Penelitian ini menggunakan metode kajian literatur, mengumpulkan dan menganalisis berbagai jurnal yang membahas penerapan AI dalam dunia broadcasting dan pendidikan. Hasil penelitian menunjukkan bahwa penggunaan AI dalam penulisan naskah dapat meningkatkan efisiensi, memperkaya ide kreatif, dan mempercepat proses produksi naskah. Namun, tantangan terkait etika, bias algoritma, dan keterbatasan pemahaman konteks dalam AI tetap menjadi masalah yang perlu diatasi. Kesimpulan utama adalah bahwa meskipun AI dapat mendukung siswa dalam menghasilkan naskah yang lebih variatif dan cepat, pengawasan manusia tetap diperlukan untuk menjaga kualitas, orisinalitas, dan relevansi naskah yang dihasilkan. Penelitian ini memberikan wawasan tentang potensi besar dan tantangan AI dalam pendidikan broadcasting
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.
Co-Authors Abdul Aziz, Fitroh Ahmad Agustina Sri Rahayu Agustina Srirahayu Az Zahra, Erika Oktaviana Brima Aribowo Cipto Utomo, Bangun Prajadi Dwi Hartanti Faulinda Ely Nastiti Fitri Amelia Ganesan, Thinesh Indra Adidaya Iswardani, Ardymulya Moh. Muhtarom, Moh. Nahrin, Sari Nuralita Nurchim Nurchim Permatasari, Dian Anggraheni Pramono Pramono Prasetya, Ian Putra Rahadian Kurniawan Rahman, Farid Fadlu Rudi Susanto Sasmito, Dinda Eling Kartikaning Triyono Utomo, Diva Reihan Ferdian Yuliana, Margaretha Evi