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All Journal Jurnal Fisika Unand JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Journal of Information Technology and Computer Engineering Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Hilirisasi IPTEKS (JHI) Jurnal Ilmu Fisika Jurnal Pendidikan Fisika dan Teknologi BERNAS: Jurnal Pengabdian Kepada Masyarakat Natural Science: Jurnal Penelitian Bidang IPA dan Pendidikan IPA Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Technomaterial Physics Indonesian Journal of Community Empowerment and Service
Nini Firmawati
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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SOSIALISASI DAN PEMETAAN POTENSI TANAH LONGSOR MENGGUNAKAN METODE MIKROSEISMIK DAN GEOLISTRIK DI KAWASAN OBJEK WISATA BUKIT NOBITA Marzuki Marzuki; Mutya Vonnisa; Ahmad Fauzi Pohan; Arif Budiman; Imam Taufiq; Trengginas Eka Putra Sutantyo; Elistia Liza Namigo; Dian Milvita; Alimin Mahyudin; Nini Firmawati; Muldarisnur Muldarisnur; Afdal Afdal; Dahyunir Dahlan; M. Ali Shafii; Afdhal Muttaqin; Rico Adrial; Dedi Mardiansyah; Harmadi Harmadi; Zulfi Zulfi; Geby Sri Ayu Oktavia; Fani Anjelina; Nurul Annisa
Jurnal Hilirisasi IPTEKS Vol. 6 No. 2 (2023)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v6i2.655

Abstract

Nobita Hill is one of the areas being developed as a tourist attraction in the city of Padang. Above Nobita Hill is a beautiful view, and you can see the picture of Padang City. However, the hilly topography with steep slopes makes this area prone to landslides. This activity aims to map the potential for landslides on Novita Hill. Activities start from preparation, implementation in the field, and evaluation. Field activities are carried out in two stages. The first stage is an experiment to map the landslide potential. The second stage is socialization. The target audience for this activity is the Village Head of Jua Nan XX Village and its officials and the community around Nobita Hill. The results of the study and mapping were disseminated to the village administration and community leaders involved in the development of the Bukit Nobita tourism area, which was carried out on November 16, 2022. The result of tourist objects often changes land use and cover. However, mitigation of the potential for landslides in this area has never been done. Therefore, the Andalas University Physics Department team mapped the potential for landslides on Novita Hill for six months, using microseismic and geoelectric methods. This activity obtained a map of the distribution of dominant frequencies, a map of the distribution of amplification, and an identification of slip planes concerning the potential for landslides on Nobita Hill. Furthermore, the results of the mapping and mitigation efforts have been disseminated to the village administration and community leaders involved in the development of the Bukit Nobita tourism area. This activity was carried out well. The landslide potential distribution map obtained from this activity is input for the community and stakeholders in developing the Buki Nobita tourist attraction that is safe from disasters.
Rancang Bangun Alat Penyimpan dan Pendeteksi Kematangan Pisang Ambon (Musa paradisiaca var. sapientum) Menggunakan Sensor TCS34725 Berbasis Machine learning Nur Aisya Zakila; Nini Firmawati
Jurnal Fisika Unand Vol 15 No 4 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.4.397-404.2026

Abstract

Banana is one of the most widely produced fruits in Indonesia; however, it is highly perishable after harvest. One environmental factor that needs to be considered to maintain post-harvest fruit quality is storage temperature. This study aims to design a prototype banana storage system with automatic temperature control and banana ripeness detection using a TCS34725 sensor implemented with machine learning. The system is equipped with a DHT22 sensor to monitor temperature and humidity, an MQ3 sensor to detect alcohol content, and a Peltier element to control the storage room temperature. The ripeness level classification uses a machine learning model trained with the SVM method with 94% accuracy. The test results show that the system is capable of maintaining the storage temperature in the range of 20°C to 25°C. The testwas conducted using 5 bananas placed inside the system and 5 bananas outside the system. The bananas stored in the system ripened on the 10th day, while the bananas stored outside the system ripened on the 8th day. The bananas in the system had a shelf life of up to 23 days before rotting, while the bananas stored outside the system rotted on the 19th day. The bananas stored in the system experienced a 31% weight loss, while the bananas stored outside the system experienced a 38% weight loss. The system is capable of displaying real-time banana conditions through an LCD interface.
Design and Development of a Door Access Prototype Using a Voice Recognition and Password Module Based on the NodeMCU ESP32 Putri Nur Azmina; Nini Firmawati
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25417

Abstract

Door access security is an important aspect of room protection systems, yet conventional locking methods still have limitations in preventing unauthorized access. This study designed and implemented a NodeMCU ESP32-based smart door prototype integrating voice recognition and password authentication to provide a dual-layer authentication mechanism for smart door access. The system consists of a NodeMCU ESP32 as the main controller, a voice recognition module for voice input, a keypad for password entry, a relay as an actuator, a solenoid door lock as the locking mechanism, and an LCD to display system status. The voice recognition module detects previously trained and stored voice commands to grant access, while unregistered voices are rejected automatically. The keypad password serves as a secondary layer of security. The system was evaluated based on voice recognition performance at different distances and environmental conditions, including quiet, normal, and rainy conditions. Experimental results show that the voice recognition module can detect voices effectively at distances up to 1,250 cm in quiet conditions, 400 cm in normal environments, and 100 cm in noisy or rainy conditions. Overall, the prototype successfully implemented a dual-security access mechanism combining voice recognition and password authentication, while providing additional real-time security monitoring through the integrated system.
Co-Authors A. Astuti, A. A. Fadhil Desafa A.A Rafid Raihan Adrial, Rico Afdal Afdal Afdal Afdal Afdal Afdal, Afdal Afdal, Afdal Afdhal Muttaqin Afdhal Muttaqin Ahmad Fauzi Pohan Akrajas Ali Umar Akrajas Ali Umar Alimin Mahyudin Alvin Maareof Andhika Dwipanur Andre Mahendra Andre Mahendra Andriati, Susi Arif Budiman As Shiddiq, Muhammad Astuti Dahyunir Dahlan Damayanti, Elok Dedi Mardiansyah Dian Fitriyani Dian Fitriyani Dian Milvita Dilla Oktafiyani Dwi Pujiastuti Dwi Pujiastuti Dwi Puryanti Dwipanur P.U, Andhika Dwipanur, Andhika Elistia Liza Namigo, Elistia Elvaswer Fani Anjelina Fani Anjelina Farokhi, Gentha Feriska Handayani Feriska Handayani Irka, Feriska Handayani Fiqi Diyona Geby Sri Ayu Oktavia Geby Sri Ayu Oktavia Gentha Farokhi Gina Yulia Sari Haldis Alvaro Harmadi Harmadi Hidayati, Jamilatul Imam Taufiq Imam Taufiq Imam Taufiq Ines Monica Sari Iqamatulhaq Rakayama Jamilatul Hidayati Jihan Latifah Hanum Kuwat Triyana Kuwat Triyana M. Ali Shafii M. Ali Shafii Maareof, Alvin Magfira Ardani Mahdalena, Feby Husna Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki Meqorry Yusfi Mohammad Ali Shafii Monica Indah Tiara Muhammad As Shiddiq Muhammad Fadlil Muharmen Suari Muldarisnur, Mulda Mutya Vonnisa Nelvi Wardani Nia Sulfiani R Nina Anindyawati Nina Nina Nina Nori, Rahma Nur Aisya Zakila Nurul Annisa Nurul Annisa Nurwijayanti Olly Norita Tetra Putri Nur Azmina Putri, Ririn Amelia Putri, Salsabila Eka Putri, Suci Yulia Rahma Nori Rahmat Rasyid Raihan, A.A Rafid Rakayama, Iqamatulhaq Ramacos Fardela Rima, Riry Djule Riry Djule Rima Saputra, Taufik Sari, Gina Yulia Sari, Ines Monica Saumi, Amalia Sri Handani Sri Oktamuliani Suci Yulia Putri Sulfiani R, Nia Taufik Saputra Tiara, Monica Indah Trengginas Eka Putra Trengginas Eka Putra Sutantyo Usna, Sri Rahayu Alfitri Wahdini, Yulia Wahyuni, Ade Wardani, Nelvi Wardatul Jannah, Wardatul Wildian Wildian Wildian Wildian Yulia Wahdini Yusfi, Meqqory Zakhiah, Putri Zidane Walid, Kholiq Zozy Aneloi Noli Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi, Zulfi