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All Journal Sistemasi: Jurnal Sistem Informasi Seminar Nasional Hasil Penelitian LP2M UNM
Wulandari Wulandari
Universitas Negeri Makassar
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Deskripsi Keterampilan Resiliensi Akademik Peserta Didik Kelas VIII SMP Negeri 18 Makassar Sitti Saenab; Nurhayani H Muhiddin; Salma Samputri; Wulandari Wulandari; Asriani Asriani
Seminar Nasional LP2M UNM SEMINAR NASIONAL 2022 : PROSIDING EDISI 7
Publisher : Seminar Nasional LP2M UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (241.406 KB)

Abstract

Abstrak. Penelitian ini bertujuan untuk mengetahui deskripsi keterampilan resiliensi akademik peserta didik kelas VIII di SMP Negeri 18 Makassar. Populasi penelitian ini adalah seluruh peserta didik SMP Negeri 18 Makassar sebanyak 301 peserta didik. Sampel dalam penelitian ini adalah 86 peserta didik. Instrument penelitian berupa angket keterampilan resiliensi akademik. Teknik pengumpulan data yaitu pemberian angket secara online melalui google form. Data dianalisis dengan analisis deskriptif kuantitatif. Nilai rata-rata keterampilan resiliensi akademik peserta didik yaitu 73% berada pada kategori tinggi dengan persentase masing-masing aspek yaitu aspek regulasi emosi 71%, aspek pengendalian dorongan 71%, aspek optimis 72%, aspek analisis penyebab masalah 71%, aspek empati 77%, aspek efikasi diri 74%, dan aspek kemampuan meraih apa yang diinginkan 76%.  Kata Kunci: Resiliensi Akademik, Mata Pelajaran IPA, Siswa SMP
Analysis of Fuzzy Mamdani Implementation in Decision Making of Agricultural Plant Types for Farmers Wulandari Wulandari; Haerunnisya Makmur; Dewi Fatmarani Surianto
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3612

Abstract

Agriculture is one of the sectors that plays an important role in the national economic development of Indonesia. The growth of the agricultural sector is heavily influenced by the results of the agricultural production itself, where one of the factors that significantly impacts agricultural production results is climate change because each plant requires different climate and weather conditions to grow. Choosing the right type of plant based on climate and weather conditions is essential to ensure that the plants can grow optimally, thereby helping farmers in avoiding losses, such as crop failure. The selection of agricultural plant types was carried out using fuzzy Mamdani method. The recommended types of plants are categorized into three groups using fuzzy C-Means method. From one of the calculations, the result showed that if the temperature is 20 °C, rainfall is 300 mm, and the duration of sunlight is 6 hours, then the recommended result is plant group 1 which consists of green beans, spinach, mustard greens, chili, corn, and pumpkin.
Co-Authors Asriani Asriani Dewi Fatmarani Surianto Haerunnisya Makmur Nurhayani H Muhiddin Salma Samputri Sitti Saenab