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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Konseling dan Pendidikan Jurnal Momentum Al Ishlah Jurnal Pendidikan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Penelitian Pendidikan IPA (JPPIPA) COUNS-EDU: The International Journal of Counseling and Education Jurnal Teknologi Informasi dan Pendidikan Journal of Applied Engineering and Technological Science (JAETS) Ranah Research : Journal of Multidisciplinary Research and Development Journal of Innovative and Creativity Jurnal Penelitian Pendidikan Indonesia
Muhammad Anwar
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Innovative and Creativity

 1 
PROTOTYPE RICE DRYER UNTUK OPTIMALISASI PRODUKTIVITAS PASCAPANEN Tika Rukmana; Muhammad Anwar
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3059

Abstract

Drying is a critical stage in the post-harvest process of rice to maintain the quality and shelf life of the grain. In Indonesia, traditional sun-drying methods are still widely used, which are highly dependent on weather conditions and require significant time and labor. These limitations often lead to grain moisture levels exceeding the ideal range set by the Indonesian National Standard (SNI 6128:2020), which is 13–14%, thereby reducing the quality and market value of the rice. This study aims to design and implement a semi-automatic rice dryer system based on the Arduino Mega 2560 microcontroller to regulate temperature, humidity, and grain moisture levels automatically. The system utilizes DS18B20 sensors for temperature, DHT22 for humidity, and a grain moisture sensor, while controlling fans, heaters, and agitators through programmed logic. Test results show that the prototype can reduce grain moisture levels more efficiently and consistently than traditional methods, with sensor readings falling within acceptable accuracy tolerances. This tool is expected to provide an effective solution for improving rice drying quality and supporting overall farmer productivity
Implementasi Algoritma Fuzzy Tsukamoto Dalam Sistem Pendeteksi Gejala Social Anxiety Disorder Pada Mahasiswa Musfara Zahra Nadien; Muhammad Anwar; Dony Novaliendry; Randy Proska Sandra
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.4578

Abstract

Social Anxiety Disorder (SAD) atau gangguan kecemasan sosial yang ditandai oleh rasa takut berlebihan dalam situasi sosial. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendeteksi gejala Social Anxiety Disorder pada mahasiswa menggunakan algoritma Fuzzy Tsukamoto berbasis web. Sistem ini memanfaatkan data hasil kuesioner berdasarkan indikator gejala kecemasan sosial yang diadaptasi dari instrumen Hamilton Anxiety Rating Scale (HARS). Proses inferensi dilakukan melalui tahapan fuzzifikasi, pembentukan rule base, inferensi fuzzy, dan defuzzifikasi untuk menghasilkan nilai crisp yang menunjukkan tingkat kecemasan sosial. Metode pengembangan yang digunakan adalah Waterfall, yang meliputi tahap analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Pengujian sistem dilakukan terhadap 20 responden mahasiswa. Hasil implementasi menunjukkan bahwa sistem mampu mengklasifikasikan tingkat kecemasan, yaitu tidak ada kecemasan, ringan, sedang, berat, dan sangat berat. Berdasarkan hasil validasi, diperoleh tingkat kesesuaian sebesar 90% antara hasil sistem dan hasil penilaian manual menggunakan metode HARS. Dengan demikian, sistem ini dapat digunakan sebagai alat bantu deteksi dini gangguan kecemasan sosial pada mahasiswa secara mandiri serta sebagai media pendukung pemantauan kesehatan mental di lingkungan kampus.
Co-Authors Ali Basrah Pulungan ARIF KURNIAWAN Dedy Irfan Deliana Delvi Sonda Dony Novaliendry Dwi Suryani Alfa Dwiprima Elvanny Myori Elsa Sabrina Fahmi Rizal Fakhrur Rozi Fitria, Yanti Habbieb Abdullah Hamdani Hamdani Hanifa Hanifa Hastuti Hastuti Ika Puspa Yulistiowarno Lena Susianti Mery Sumiati Muhammad Azisan Muhammad Irsyad Musfara Zahra Nadien Nikhel Purnama Delfa Nurul Syafika Oktavia Delvira Oktavia Suci Rahma Qotrun Nada Fitri Adisva Randy Proska Sandra Regina Aprilia Rimo Handriyatma Sri Ardiyanti Tika Rukmana Waskito Yasdinul Huda Yeka Hendriyani Zhafranul Nafis Zulhijra Rahma Dia