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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Algoritma
Satria, Rahul Fahmi
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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SPARRING: Sistem Rekomendasi Peneliti Terintegrasi Google Scholar via SerpAPI dan Latent Dirichlet Allocation pada Konteks Perguruan Tinggi Ma'ady, Mochamad Nizar Palefi; Rizaldy, Denny Daffa; Satria, Rahul Fahmi; Anaking, Purnama
Jurnal Teknologi dan Manajemen Informatika Vol. 9 No. 2 (2023): Desember 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v9i2.11111

Abstract

The researcher partner recommendation system plays a crucial role in fostering academic collaboration in universities, where a challenge for new users is finding suitable research partners. In addressing the limitations of Naïve Bayes classifiers, this article introduces an innovative approach in the form of a non-linear sigmoid activation function. We highlight the urgency of this solution, detail its implementation steps, and describe its substantial contribution to research partner recommendations. This article not only identifies existing obstacles but also proposes revolutionary solutions to enhance the effectiveness of consultation systems in academic environments. A gap in this research is the manual input method for data retrieval, creating weaknesses, susceptibility to human errors, and reduced efficiency in collecting journal data. We propose SPARRING, a researcher recommendation system connected to Google Scholar, in the context of higher education. This approach uses a dataset of faculty members from the Faculty of Information Technology and Business at a private university in Indonesia. The results from Google Scholar extraction, with topic keywords determined by Latent Dirichlet Allocation, are then classified using the Naïve Bayes algorithm. Additionally, we integrate web scraping tools, particularly SerpAPI, to access data from Google Scholar. Through the integration of SerpAPI, the proposed web-based system is capable of providing more accurate recommendations, especially for new users with limited collaboration experience. By incorporating SerpAPI, the proposed web-based system can offer more accurate recommendations, particularly for new users without extensive collaboration experience.
Transformasi Perawatan Kesehatan Ibu Hamil dengan IoT: Solusi Cerdas untuk Pemantauan Real-Time di Daerah Terpencil Oktarina, Eka Sari; Alamsyah, Gempar; Nurhalissa, Rahmalia; Satria, Rahul Fahmi
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2290

Abstract

The high maternal and infant mortality rates in developing countries remain a major challenge in public health. Contributing factors include poverty, limited healthcare infrastructure, and cultural norms that restrict access to medical services. One of the main obstacles is the lack of continuous and real-time monitoring of pregnant women's health, which leads to delays in detecting pregnancy complications. Although various efforts have been made, there is still a gap in the use of technology capable of practically and accurately monitoring maternal health conditions in the field. This study aims to develop an Internet of Things (IoT) device to measure maternal health parameters such as height, weight, blood pressure, and fetal heart rate, with real-time data transmission to the cloud using Firebase. Testing was conducted on 15 pregnant women in Malang Regency, comparing the IoT device's measurements with standard measuring instruments. The results showed high accuracy, with an average error of 0.45% for height and 0.29% for weight. Systolic blood pressure measurements showed greater error variation (7.71%–21.45%), while diastolic pressure was more stable (1.81%–8.95%). Data transmission to Firebase showed an average delay between 1.75 and 2.69 seconds without data loss, indicating that the communication system operated optimally and maintained information integrity. This IoT device has the potential to support real-time monitoring of maternal health, thereby facilitating early medical intervention and contributing to reducing maternal and infant mortality in developing regions.
Co-Authors Alamsyah, Gempar Eka Sari Oktarina Mochamad Nizar Palefi Ma’ady Nurhalissa, Rahmalia Purnama Anaking Rizaldy, Denny Daffa