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Journal : Almantiq

Pengembangan Sistem Monitoring Kesehatan Berdasarkan Detak Jantung dan Suhu Tubuh Berbasis Internet of Things dengan Metode Fuzzy Mamdani Bashori, Fandi Achmad; Dirgantoro, Guruh Putro; Wahyudi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3285

Abstract

The progress of innovation and data is currently very fast, one sign of which is the presence of the Internet of Things (IoT). IoT is an internet service that is integrated by utilizing certain types of sensorsIn the health sector, both the patient treatment process and the development of health science technology itself is experiencing rapid technological advances. The purpose of this research is to build a health monitoring system based on heart rate and body temperature based on the Internet of Things. The method used in this study is Prototyping.Prototyping is a software development method, which is in the form of a physical working model of the system and functions as an initial version of the system. The prototype of this tool is used to monitor the health of the human body through heart rate and body temperature in humans, namely by using a Pulse sensor and DS18B20 temperature sensor in hand then the results of the sensor readings will appear on the LCD and then configured on the Blynk application on the Smartphone . Based on the results of analysis and testing of health monitoring tools based on heart rate and body temperature based on the Internet of Things. Development of a health monitoring system based on heart rate and body temperature based on the Internet of Things has been made with various electronic components, namely NodeMCU ESP8266, Pulse sensor, DS18B20 temperature sensor , and also a 2x16 LCD. Testing the pulse sensor and temperature sensor DS18B20 is able to detect heart rate and body temperature by holding the two sensors
IMPLEMENTASI NAÏVE BAYES CLASSIFIER UNTUK ANALISIS SENTIMEN APLIKASI PINJAMAN ONLINE PADA MEDIA SOSIAL TWITTER Azzahra, Shinta May Khoiria; Santi, Nirma Ceisa; Wahyudi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3287

Abstract

Sistem analisis sentimen adalah sistem yang digunakan untuk melakukan proses analisis otomatis pada tweet aplikasi pinjaman online berbahasa Indonesia untuk mendapatkan informasi termasuk informasi sentimen yang menjadi bagian dari tweet tersebut. Data tersebut diklasifikasikan dengan menggunakan Naive Bayes. Sistem analisis sentimen dibagi menjadi 5 (lima) tahap, yaitu scraping, pre-processing, pembobotan kata, pembangunan model dan klasifikasi sentimen. Metode TF-IDF (Term Frequency - Inverse Document Frequency) digunakan untuk pembobotan kata. Data yang ada akan diklasifikasikan menjadi 2 (dua) kelas positif dan negatif. Hasil pengujian dengan 500 data dari tweet aplikasi Kredivo menunjukkan bahwa pada pengujian 2 kelas (negatif dan positif) didapatkan hasil terbaik pada 90% data latih dan 10% data uji dengan nilai akurasi sebesar 91,12%.
Sistem Pendukung Keputusan Pemilihan Jenis Investasi Menggunakan Metode Analytical Hierarchy Process (AHP) Fauzi, Muhammad; Vikri, Muhammad Jauhar; Wahyudhi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 1 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i1.2183

Abstract

Currently, the investment sector is experiencing rapid development in Indonesia. However, the lack of understanding of how to choose the optimal investment results in less accurate and appropriate decision making, which in turn can result in losses in making investments. The purpose of the investment type selection decision support system is to provide convenience to new investors in making decisions regarding the type of investment. Dataxcollection is done by interview, observationcand literature study. Fromxthe results of data collection, several alternatives were obtained, namely stocks, mutual funds, bonds and deposits with selection criteria including risk, return and liquidity. Data processing is done with one of the DSS (Decision Support Systems) methods, namely the AnalyticalxHierarchy Process (AHP) method, with the results of stocks being determined as the best investment option.
Pengembangan Kipas Pemadam Api Otomatis Berbasis Iot Izudin, Asfa Reza; Irsyada, Rahmat; Wahyudhi , Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 1 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

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

Abstract

Tujuan dari kipas pemadam api berbasis Internet of Things (IoT) adalah untuk meningkatkan efisiensi dan efektivitaspenanganan kebakaran kecil di rumah dan tempat bisnis. Sistem ini memiliki sensor asap dan suhu yang dapat mendeteksikebakaran secara real-time dan kemudian mengaktifkan kipas pemadam api otomatis untuk meredam api pada tahap awal.Aplikasi mobile memungkinkan pengguna memantau dan mengontrol sistem dari jarak jauh, memungkinkan pemantauan danrespons cepat. Hasil pengujian menunjukkan bahwa sistem dapat merespons kebakaran dalam hitungan detik dan berhasilmencegah penyebaran api dan memberikan notifikasi instan kepada pengguna, meningkatkan keamanan dan mengurangi risikokerugian.