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All Journal Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Imran Taufiq
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Computer Science & IT

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Alat Pengusir Burung Pada Tanaman Padi Berbasis IoT Andi Taufiqurrahman Akbar andi taufiq; Abdul Latief Arda2; Imran Taufiq
JURNAL ILMU KOMPUTER Vol 8 No 2 (2022): Edisi September
Publisher : LPPM Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jiik.v8i2.234

Abstract

Penduduk indonesia menggunakan beras sebagai bahan pangan pokok sekitar 90% . Karena beras dapat menyumbangkan 40-80% kalori dan 45-55% protein. Sedangkan produksi padi belum mampu memenuhi kebutuhan masyarakat yang disebabkan oleh beberapa kendala yang memberikan dampak terhadap penurunan produktifitas. Salah satu penyebabnya gangguan pada tanaman padi yaitu hama burung. Kelompok burung dikenal sebagai salah satu hama yang biasa menyerang tanaman padi masyarakat. Tujuan dari penelitian ini adalah menghasilkan desain alat Alat Pengusir Burung Pada Tanaman Padi Berbasis IoT. Alat pengusir burung berbasis iot ini terdiri dari dua bagian utama yaitu sistem perangkat keras (hardware) dan sistem perangkat lunak (software). Sistem perangkat keras menggunakan rangkaian Daya solar cell dan Aki, sistem rangkaian , Node MCU , dan Motor DC . Penelitian ini dilakukan di Lokasi persawahan yang berada di kabupaten Bulukumba. Pada penelitian ini menggunakan metode penelitian R&D (Research & Development ) diawali dengan melakukan studi literatur kemudian dilanjutkan dengan perancangan sistem. Instrumen penelitian yang digunakan dalam penelitian ini adalah Laptop dan perangkat lunak seperti Arduino IDE dan App Inventor. Hasil dari penelitian ini yaitu Ultrasonik menangkap gambar burung kemudian motor DC secara otomatis akan menggerakkan Sensor ultrasonik yang diiringi suara lonceng yang mampu mengusir hama burung. Alat ini menggunakan Solar cell dan Aki. Alat ini dapat menggunakan sumber aki dengan tegangan pada aki mencapai 7 volt.
Expert System For Major Selection Determination At Universitas Muhammadiyah Sinjai Nurhikmayana Janna; Ingrid Nurtanio; Imran Taufiq
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.41

Abstract

The choice of major is very important to support the success of students in completing their studies well and on time. However, this is an important issue because, based on research by the Indonesia Career Center Network (ICCN) in 2017, 87 % of Indonesian students admit that the majors they chose do not suit their interests. And 71.7 % of workers have a profession that is not in accordance with their education. The obstacle faced by prospective students when choosing a major is that they do not know their interests, talents, and potential. Therefore, a system was created that could provide suggestions for majors that match the interests of prospective students. An expert system with the forward chaining method is used in the system. The method used in making this expert system application is the forward chaining method. This expert system process accepts the choices that are already available and have been filled in by the user. And the results of this expert system provide a solution for selecting majors based on the interests of prospective students. So that prospective students can determine the right major. From the results of the implementation and trials that have been carried out by researchers, a probability value is obtained that reaches 100 %, indicating that the system is functioning properly, and as many as 94 % of respondents stated that they strongly agree that the use of this application can help make it easier to determine majors at Universitas Muhammadiyah Sinjai.
Smart Cooking and Kitchen Safety Using Arduino Nanotechnology and Voice Recognition Jum, Jumriati; Abdul Latief; Imran Taufiq
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.73

Abstract

The purpose of this research encompasses two primary objectives: (1) Designing a smart cooking and kitchen safety system using Arduino Nanotechnology and voice recognition, and (2) Implementing these technologies in practical applications for smart cooking and kitchen safety. The aim is to develop a kitchen security system that employs Arduino Nano and voice recognition to automatically control conventional LPG stoves with on-off functionality. Data collection methods included observation, interviews, and literature review. Cooking tests were conducted with chicken curry, vegetable soup, and tuna, each cooked three times to determine average cooking times. Cooking 2 kg of chicken took an average of 35.38 minutes, with a maturity level delay of 18 minutes, while 1 kg of chicken took 20 minutes, with an 8-minute delay. For 20 portions of vegetable soup, the average cooking time was 32.20 minutes, with a 7-minute delay, and for 5 portions, it was 15 minutes, with a 4-minute delay. Cooking 2 kg of tuna took an average of 26 minutes, with a 16-minute delay, and 1 kg took 13.25 minutes, with a 5-minute delay. Voice command testing showed a high success rate at distances ranging from 10 cm to 70 cm. The confusion matrix results indicated that the model accurately detected successful commands with high precision (88.89%) and good recall (81.63%). However, the model had difficulty identifying failed commands, achieving only 2 true negatives out of 20 negative data points.
Co-Authors Abdul Latief Abdul Latief Arda Andi Taufiqurrahman Akbar Ingrid Nurtanio Jum, Jumriati Nurhikmayana Janna