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PERANCANGAN SMART TRASH BIN MENGGUNAKAN LOGIKA FUZZY BERBASIS ARDUINO DI SDN 5 MAWASANGKA, BUTON TENGAH Nurjannah, Nurjannah; Muchtar, Mutmainnah; Sarimuddin, Sarimuddin; Sya'ban, Kharis; Karim, Rahmat; Al Jum'ah, Muhammad Na'im
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4358

Abstract

Smart Trash Bin is a technological innovation that integrates sensors and automation systems to enhance waste management efficiency. This study aims to design and implement a Smart Trash Bin using fuzzy logic based on Arduino at SDN 5 Mawasangka, Buton Tengah. In this research, the system utilizes ultrasonic sensors to detect the trash level inside the bin, servo motors to control the automatic lid of the trash bin, and DFPlayer Mini along with a speaker to provide audio notifications to users. Fuzzy logic method is employed to regulate the system's decisions in managing the trash bin operations based on environmental conditions. The study involves the stages of design, fabrication, and system testing in the elementary school environment. The test results indicate that the designed Smart Trash Bin can effectively manage waste with adequate accuracy. It is expected that the implementation of this Smart Trash Bin can help raise awareness of environmental cleanliness within the school and surrounding community
KLASIFIKASI TINGKAT KEMATANGAN CABAI MERAH KERITING MENGGUNAKAN SVM MULTICLASS BERDASARKAN EKSTRAKSI FITUR WARNA Irma, Irma; Muchtar, Mutmainnah; Adawiyah, Rabiah; Sarimuddin, Sarimuddin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4430

Abstract

The utilization of digital image processing holds significant potential for classifying the ripeness of curly red peppers (Capsicum annuum L.). This study aims to develop an automatic classification method using multiclass Support Vector Machine (SVM) with a linear kernel. Images of peppers, captured using a smartphone camera, were categorized into three classes: ripe, unripe, and semi-ripe. Features such as mean, variance, and range from the RGB color space were extracted for training and testing data. Testing was conducted by dividing the data into training and test sets and employing 10-fold cross-validation. Results demonstrated a classification accuracy of 98.33%. The combination of mean, variance, and range features significantly improved accuracy compared to single features. This research demonstrates the effectiveness of the developed method and its applicability in automated classification systems to support the agricultural sector.
Optimalisasi Pembibitan Terumbu Karang Teluk Pantai Wantopi Dengan Media Rangka Persegi Panjang Menggunakan Metode Transplantasi Tanam Tempel Untuk Mendukung Keberlanjutan Ekosistem Laut Sarimuddin, Sarimuddin; Asdy, Muhamad; Yusri, Halmina; Alvia, Alvia; Rian, Ahmad; Aja, Aja; Ahmad Ghozali, Gus; Rusmala, Rusmala; Febriana, Febriana; Yasin, Abdul; Suryadin, Fitri; Nurmira, Nurmira; Fajrianti, Nur; Maada, Yayan; Amin, Ali; Fauzan, Irsyad
Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): December
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v5i3.1886

Abstract

This Community Service Program aims to optimize coral reef nurseries in Wantopi Bay by utilizing rectangular frames using the transplantation method. This method is applied to improve the survival and growth of coral fragments attached directly to the frames as a nursery medium. The program implementation involved training and participation of local communities in the coral reef nursery and maintenance process. Results showed an increase in the survival rate of coral fragments and increased community awareness and active involvement in maintaining marine ecosystems. This approach has proven effective in supporting coral reef rehabilitation while strengthening the function of marine ecosystems as a habitat for biota, coastal protection, and a source of livelihood for coastal communities. This program is expected to become a model for sustainable coral reef nurseries and empower communities in marine conservation in Wantopi Bay.
Co-Authors Agusriyadin, Agusriyadin Ahmad Ghozali, Gus Aja, Aja Al Jum'ah, Muhammad Na'im Alif, Alfiah Alvia, Alvia Amin, Ali Anasrudin Anasrudin Andas, Netty Huzniati Arif Prasetya Asdy, Muhamad Ashari Arifin Aurista Miftahatul Ilmah Awal, Samsi Chairuddin Chairuddin Chastine Fatichah Dian Permana Dirman Dwi Samsuifin Alham Elda Tendri Uke Fajrianti, Nur Faradisa Anindita Farman, Farman Fauzan, Irsyad Febriana Febriana, Febriana Fitra, Ramad Arya Fitrah Maharani Humaira Fitriyani Hali, Fitriyani Hairani Idrus, Sitti Hamid Wijaya Hariati Hariati Haryanto, Abel Hasidu, La Ode Abdul Fajar Irma Irma Jaya, La Ode Muhammad Golok Jaya, Laode Muhammad Golok Jayanti Yusmah Sari Kasim, Ma'ruf La Jejen La Na’ani La Ode Ichlas Syahrullah Yunus La Sudarman Lesmideyarti, Dwi Lipantri Mashur Gultom Maada, Yayan Megawati, Megawati Muh. Ariyandhi Masalu Muh. Na’im Al Jum’ah Muhamad Fikram Muhamad Jalil Baari Muhamad Nasir Muhammad Mail Muhammad Tasjiddin Teheni Muliyadi MURNI SARI Murni Sari Mutmainnah Muchtar Nanik Suciati Nasarudin Nasarudin Nasarudin, Nasarudin Noorhasanah Zainuddin Nur Anisa Nurfagra Nurfagra Nurfitria Ningsi Nurjannah Nurjannah Nurmira, Nurmira Poniasih Lelawatty Rabiah Adawiyah, Rabiah Rahmat Karim Rasmiati Rasyid Reski Surya Aristika Rian, Ahmad Rima Ruktiari Riska Ristina Ristina Rusmala, Rusmala Salim Salim Sari, Rina Sardiana Sariani Nur Zunais Soeriknan Soeriknan Soniya Soniya Sri Rezeki Sudarman, La Suharsono Bantun Sukrin, Simun Sunyanti Sunyanti Sunyanti Sunyanti, Sunyanti Supria Supria Surianto Ilham Suryadin, Fitri Sya'ban, Kharis Syaban, Kharis Tengku Musri Wa Ode Fera Azriani Wilda Fatmala Yasin, Abdul Yusri, Halmina Yuwanda Purnamasari Pasrun Ziu Mada Ziu Mada Zulman, Zulman