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All Journal Bioma : Berkala Ilmiah Biologi Jurnal Teknik Informatika
Santosa S, Santosa
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education

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Perkecambahan Biji Dan Pertumbuhan Kecambah Varietas Sorgum (Sorghum bicolor L.) Pada Cekaman Krom Heksavalen Kasmiyati, Sri; S, Santosa; Priyambada, Irfan Dwidja; Dewi, Kumala; Sandradewi, Rintawati
Bioma : Berkala Ilmiah Biologi Vol. 17, No.1, Tahun 2015
Publisher : Departemen Biologi, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.742 KB) | DOI: 10.14710/bioma.17.1.41-54

Abstract

In contrast to other toxic trace metals, Cr has received little attention. Since valence level of chromium determines its toxicity, chromium is categorized as unique heavy metal. Chromium hexavalent (Cr6+) has the biggest toxicity among other valence levels. Seed germination and seedling growth are sensitive to heavy metal stresses. This research aimed to find out the responses of seed germination and seedling growth of 12 sorghum varieties toward Cr6+. Seed germination and seedling growth experiment was done on 12 sorghum varieties (Badik, UPCA-1, Keris, Keris M3, hegari Genjah, Gambela, Selayer, Sangkur, Mandau, Batari, Kawali, dan Numbu), planted in petridishes with Cr6+ treatment in form of chromate (K2CrO4) and dichromate (K2Cr2O7) compounds with 0, 50 and 500 mg of Cr/l concentration for a week. The parameters measured were the number of seeds germinate each day; the length of radicle and plumule, and fresh and dry weight at the end of experiment. The results showed that higher concentration of Cr6+ both in form of dichromate and chromate, significantly decreased  the length of radicle and plumule, fresh and dry weight, and SVI (seedling vigor index) value. However, index germination (GI) value and percentage of germination of the 12 varieties sorgum significantly increased in the treatment of 50 mg Cr/l Cr6+ in form of dichromate and chromate. The treatment of dichromate compound showed bigger effect than chromate toward variables of seed germination and seedling growth of sorghum. It was noticed that 12 sorghum varieties possessed an integrated complex of adaptation to cope with the range of form of compound and concentration of Cr6+. Based on the responses of seed germination and seedling growth, Kawali, Hegari, Keris, Keris M3, Mandau, and Selayer varieties was more susceptible toward Cr6+ toxicity, and Sangkur, Selayer, Batari, and Numbu was more tolerant than other varieties. Keywords : chromate, dichromate, Sorghum bicolor, seedling, hexavalent chromium
Penerapan Data Mining dalam Mengklasifikasi Kelulusan Mahasiswa Tingkat Akhir Menggunakan Algoritma Naïve Bayes Rajak, Rusli; Muhammad, Abdul Haris; S, Santosa
J-TIFA Vol 3 No 1: Maret 2020
Publisher : Universitas Muhammadiyah Maluku Utara (Prodi Teknik Informatika)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52046/j-tifa.v3i1.1035

Abstract

Kelulusan tidak tepat waktu merupakan permasalahan yang sering ditemui pada lingkungan akdemik perguruan tinggi. Hal tersebut juga dialami pada program studi Teknik Informatika Universitas Muhammadiyah Maluku Utara dimana setiap tahunnya mahasiswa yang masuk pada Program Studi Teknik Informatika kurang lebih 150 mahasiswa, sedangkan rata-rata kelulusan mahasiswanya hanya kurang lebih 85 mahasiswa. Ketidakseimbang tersebut tentu akan menimbulkan kerugian dari pihak akademisi maupun mahasiswa. Sehingga berdasarkan permasalahan tersebut diperlukan prediksi terhadap mahasiswa yang diindikasikan tidak lulus tepat waktu supaya dapat diberikan tindakan lebih lanjut. Dengan memanfaatkan salah satu metode algoritma klasifikasi naive bayes, akan dihasilkan pola-pola berdasarkan probabilitas pada setiap atribut atau fitur yang dapat digunakan untuk menentukan apakah mahasiswa lulus tepat waktu atau tidak. Fitur-fitur yang digunakan adalah jenis kelamin, pekerjaan orang tua, pendapatan, index presentasi semester 1 s/d 4 dan tahun kelulusan. Dari data mahasiswa yang berjumlah berjumlah 1026 data terdiri dari 125 data prediksi dan 901 data klasfikasi didapatkan hasil prediksi tepat waktu kelulusan dengan akurasi 44% sedangkan akurasi data keterlambatan mahasiswa mencapai 56%.
Co-Authors Irfan Dwidja Priyambada, Irfan Dwidja Kumala Dewi Muhammad, Abdul Haris Rajak, Rusli Rintawati Sandradewi, Rintawati Sri Kasmiyati