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Teti Zubaidah
Jurusan Teknik Elektro Universitas Mataram
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Implementasi Penentuan Lokasi Dalam Gedung Menggunakan LoRa RSSI Dan Jaringan Syaraf Tiruan Pada ESP32 Ramdani, Cipta; Rosmaliati, Rosmaliati; Zainuddin, Abdullah; Kanata, Bulkis; Zubaidah, Teti
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 11 No. 4 (2025): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v11i4.916

Abstract

Implementasi Penentuan Lokasi di dalam Gedung semkain banyak digunakan terutama pada fasilitas umum seperti sekolah dan rumah sakit dimana sinyal GPS tidak mampu memberikan akurasi yang maksimal. Pada penelitian ini akan dilakukan implementasi penentuan lokasi didalam Gedung dengan menggunakan nilai dari sinyal Received Signal Strength Indicator (RSSI) pada perangkat LoRA. Data RSSI yang dikumpulkan akan digunakan untuk melatih jaringan syaraf tiruan dengan menggunakan struktur empat neurons sebagai input, sepuluh neurons hidden dan lima neurons untuk output berupa hasil klasifikasi ruangan yang diberikan. Proses training dilakukan dengan menggunakan Python beserta numpy dan Pandas sebagai library-nya. Hasil dari training tersebut adalah berupa sejumlah weights dan bias yang digunakan sebagai external library pada ESP32 microcontroller. Berdasarkan hasil pengujian data training, didapatkan bahwa ANN memberikan performa yang lebih baik jika dibandingkan dengan SVM. Pada ANN didaptkan nilai akurasi, presisi dan recall 0.90, 0.8666 dan 0.9333 secara berturut-turut. Sedangkan pada SVM didapatkan nilai akurasi 0.92 , presisi 0,7133 dan recall 0.6932 . dari hasil tersebut dapat dilihat bahwa ANN lebih akurat dalam hal meng-klasifikasikan ruangan yang memiliki pola nilai RSSI yang hampir mirip, seperti ruangan koridor. Hal ini memberikan informasi bahwa ANN sangat cocok diiimplementasikan untuk penentuan lokasi didalam Gedung dan sesuai untuk digunakan pada perangkat ESP32. Penelitian berikutnya diharapkan dapat menggunakan algoritma optimasi untuk mendapatkan nilai weight dan bias yang lebih baik.
Analisis Pola Spatio-Temporal Gempa Bumi di Zona Busur Belakang Utara Lombok–Flores Menggunakan Agglomerative Clustering Ramadhani, Cipta; Yadnya, Made Sutha; Paniran, Paniran; Kanata, Bulkis; Zubaidah, Teti
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 11 No. 4 (2025): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v11i4.957

Abstract

This study aims to identify earthquake clustering patterns in the Northern Lombok–Flores Back-Arc Zone using the Agglomerative Clustering method. Seismic data were obtained from the United States Geological Survey (USGS) covering the period 1970–2021, using latitude, longitude, depth, and magnitude as clustering variables. A sliding window approach was applied to capture the temporal evolution of seismic activity. The results indicate the formation of three stable clusters that consistently represent different earthquake depth levels across all analyzed time windows. Although fluctuations in the occurrence of large-magnitude earthquakes were observed in several windows, these variations did not significantly affect the clustering structure. This study demonstrates that the combination of Agglomerative Clustering and a sliding window approach is effective for identifying depth-based earthquake clustering patterns and describing their temporal dynamics
Implementation of an HTML‑Based Front‑End for the Profiling System of the Indonesian Association of Academics and Scientists (ASASI) of West Nusa Tenggara Region: IMPLEMENTASI FRONTEND BERBASIS HTML PADA SISTEM PROFILING PENGURUS PERKUMPULAN AKADEMISI DAN SAINTIS INDONESIA (ASASI) DAERAH NUSA TENGGARA BARAT (NTB) Rahmatdiyansyah, Aditya; Ratnasari, Dwi; Ariawan, Soni; Saputri, Dian Syafitri Chani; Zubaidah, Teti
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 1 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i1.1500

Abstract

The development of information technology in the digital era has encouraged professional organizations to adapt in managing and delivering information more effectively. ASASI (Association of Indonesian Scientists and Academics) NTB, as an academic and scientific organization, requires an information system that is easy to access and capable of presenting administrator profiles in a structured and informative manner for both members and the public. This study aims to design and implement a web-based frontend system for visualizing administrator profiles of ASASI NTB. The development focuses on frontend implementation using basic web technologies such as HTML for content structure, CSS for visual presentation, and PHP native for dynamic data processing, without utilizing frontend frameworks or RESTful APIs. This approach was chosen to ensure simplicity, ease of maintenance, and suitability to organizational needs. The implementation results show that the developed system is able to present administrator profile information clearly, systematically, and in an easy-to-understand format. The system supports organizational transparency, improves information dissemination, and facilitates users in identifying the roles and expertise of each administrator. Strategically, the implementation of a web-based frontend system for administrator profile visualization can enhance the organization’s image, strengthen public trust, and support collaboration with external stakeholders in the digital era.
Co-Authors Akbar, Lalu Muhamad Roviq Akbar, Muhammad Fajrin Alfian, Muhammad Rolan Azmi, Zul Budi Irmawati Bulkis Kanata Cipta Ramadhani Dian Syafitri Chani Saputri Dwi Ratnasari Fauriza, Siti Fitratunnisa, Nur Giri Wahyu Wiriasto Heri Sulistiyono, Heri Hidayat, X Zardht Alex I Made Ari Nrartha I Wayan Gunada Indira Puteri Kinasih Joni Rokhmat Kosim M.A. Muazar Habibi Made Sutha Yadnya Masrul Muhajirah Muntari Muntari Niseng, Zakee Nurcahaya Paniran Paniran Rahmatdiyansyah, Aditya Ramdani, Cipta Ramdhan Witarsa Rosmaliati Rosmaliati, Rosmaliati Saputra, Ramdani Satriyo, Wiwid Setyono, Tuhu Soni Ariawan Sumarni Sumarni Supeno Susanto, Oki Prio Yulianti, Defitri Zainuddin, Abdullah