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All Journal Jurnal PENA : Penelitian dan Penalaran Journal of Business Management Education (JBME) MODELING: Jurnal Program Studi PGMI Triadik International Journal of Community Service Learning JURTEKSI JISIP: Jurnal Ilmu Sosial dan Pendidikan Reswara: Jurnal Pengabdian Kepada Masyarakat STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE MSI Transaction on Education MAHESA : Malahayati Health Student Journal Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Impresi Indonesia Jurnal Ilmu Komputer Dan Informatika Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Teknik Mesin Sinergi Internet of Things and Artificial Intelligence Journal Jurnal Sosial dan Sains Neologia: Jurnal Bahasa dan Sastra Indonesia Journal of Vocational Instruction Teknovokasi : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM JOEEL (Journal of English Education and Literature) PEDAMAS (Pengabdian Kepada Masyarakat) Da'watuna: Journal of Communication and Islamic Broadcasting Journal of Progressive Information, Security, Computer and Embedded System Jurnal Cakrawala Bahari Jurnal MediaTIK Journal of Electrical Engineering and Informatics Jurnal Vokasi Keteknikan Digitus : Journal of Computer Science Applications Jurnal Teknologi Rekayasa Informasi dan Komputer
Muhammad Agung
Universitas Negeri Makassar
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Journal : internet of things and artificial intelligence journal

 1 
Design and Control of IoT Based Automatic Watering Devices for Vegetable Plants Iriyanti, Aldarisma; Agung, Muhammad; Wahid, Abdul
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.890

Abstract

This research aims to design and develop an Internet of Things (IoT)--based automatic watering device for vegetable crops, especially water spinach and bok choy. The IoT technology used allows users to monitor and control the watering process remotely through an Android-based mobile application. The device is equipped with a soil moisture and temperature sensor (DHT22), which automatically controls the water pump and fan according to the needs of the plants. System testing was conducted to ensure the functionality of the sensors and that the automatic watering system operates effectively. The test results show that the device works efficiently in maintaining soil moisture and plant temperature, thereby improving the maintenance of vegetable crops. With this system, watering is done promptly and according to the needs of the plants, thereby reducing water and energy wastage. This research offers a practical solution for farmers or plant enthusiasts to monitor and care for plants automatically and efficiently.
The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT) Wahid, Abdul; Muharram, Muharram; A. Rauf, Bakhrani; Agung, Muhammad; Yohandri, Yohandri; Baharuddin, Baharuddin; Sila, I Nyoman; Suyanta, Suyanta
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.252 KB) | DOI: 10.31763/iota.v2i2.513

Abstract

Recruitment is an important aspect of human resource management at a university, particularly at Makassar State University. Selection is a step in the recruitment process that determines whether prospective students who apply are a good fit for the program of study. The advancement of information systems facilitates the recruitment registration process. The decision support system is present to assist decision-makers in receiving appropriate recommendations for prospective teacher students who have been selected. This study employs the MAUT method's development, which is carried out in stages, hence the Multi-Level MAUT. Because assessment metrics are classified, we combine several MAUT methods to reach a final decision. The algorithm used produces good results, namely the ability to rank correctly based on stakeholder preferences.
Co-Authors Abd. Rasyid Syamsuri Abda Abda Abdul Hakim Abdul Wahid Adi, Emmanuel Ariananto Waluyo Aminuddin, Amin Andi Baso Kaswar Andi Baso Kaswar Andi Muadz Palerangi Anggoro, Anggoro Apridiansyah, Yovi Ardiansyah, M. Rivaldi Asdiono, Asdiono Audia, Alanis Badaruddin Anwar Bahar, Muhammad Mahdinul Baharuddin Baharuddin BAKHRANI RAUF Bau Salawati Bestin, Bakti Daulay, Indi Ramadhani Dedy Kurniadi Elfira Wirza, Elfira Elisatris Gultom Erniyani, Erniyani Ervina Eka Subekti Erwan Efendi Erwandi, Yetman Fatmawati Fatmawati Fivia Eliza Gunawan Gunawan Hamsi Mansur Handayani, Sri Haryadi, Tri Wimbi Helza Nova Lita Husaini Husaini Husda, Baso Riadi I Nyoman Sila Indah Sari Iriyanti, Aldarisma Januar, Marcelino Jumadi Mabe Parenreng Kasim, Muh. Alwi Rizkyansyah Khusnul Fajriyah Marliyah, Marliyah Mauliana, Ana Muhammad Fajar B Muhammad Hasim Muhammad Maulana Muhammad Nasir Muhammad Rais B Muhammad Yahya Muhtarom, Muhammad Nabil Mukhlis . Nana Ganda Nur Fadillah, Nur Nur Fuadah Nur, Muh Irfan Nurdin, Aswin Parenreng, Jumadi M. Paulus, ⁠Listina Pujianto, Dian Purbo Wartoyo, Bayu Putra, Deka Tri Putra, Heri Raodah Raodah Raodah Raodah, Raodah Romiko Safitri, Bujing Sapta, Andy Sa’ban Miru, Alimuddin Seno, Abdi Siti Aisyah Suarni Syam Saguni, Suarni Syam Sudarmanto Jayanegara Sudirman Sudirman Suhendra, Janice Sukron, Sukron Surya Surya Suwango, Jerry Suyanta Suyanta Swandayani, Deysi SYAFAR, A. MUHAMMAD Syahrir, Nurlina Tanjung, Dhiauddin Tommy, Tommy Tsary Arrofi, Dinda Yusuf Usman Usman Wahid, M. Syahid Nur Widiowati, Nindi Yohandri Bow Yulia Darmi Zaudah Cyly Arrum Dalu