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All Journal Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Ilmiah Agroust
Laela Nur Rohmah
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management

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PENGARUH MEDIA TANAM DAN SISTEM FERTIGASI TERHADAP PERTUMBUHAN SERTA HASIL TANAMAN CABAI RAWIT (Capsicum frustescens L.) SECARA SEMI HIDROPONIK Laela Nur Rohmah; Yacobus Sunaryo; Darnawi Darnawi
JURNAL ILMIAH AGROUST Vol 2 No 1 (2018): Maret
Publisher : Universitas Sarjanawiyata Tamansiswa

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Abstract

This research was conducted to determine the effect of types of planting media and kinds of fertigations on the results of cayenne pepper cultivated in semi-hydroponics. This research was carried out in the Greenhouse of the Faculty of Agriculture, University of Sarjanawiyata Tamansiswa.  It has altitude of 112 m above sea level and temperature between 260 – 280C. This research method was arranged in a Complete Randomized Block Design in Split Splot consisting of two treatment factors. The fisrt factor was the fertigation method as main factor consisted of 2 levels: spraying watering system and fertigation of the drip irrigation system. The second factor was the planting media as sub factor consisted 3 levels: rice husk charcoal + regosol soil (v/v= 1:1) ,rice husk charcoal + zeolite (v/v= 1:1), and rice husk charcoal.+ regosol + zeolite (v/v= 1:1:1). Each treatment unit used 3 sample plant. The results of the observations were analyzed using variance, followed by Duncan 's Multiple Range Test (DMRT) at the level of a = 5%. AThe results of the experiment indicated that there was an interaction beetwen planting media and kinds of fertigations for the variables observed in the number of flowers and fresh weight per plant. Where are, the treatment of planting media and the fertigation system had an effect on the yield of cayenne pepper, namely the fresh weight of fruit per plant. However, no interaction occurred beetwen planting media and kinds of fertigations of the variable observed in the plant height, number of leaves, number of fruits, fresh weight of the plants, dry weight of plants and fruit diameter. The best results of combination’s treatment rice husk charcoal+ regosol soil + zeolite(v/v= 1:1:1) with fertigation of the drip irrigation system indicated on fresh weight per plant
Penerapan Algoritma Decision Tree untuk Prediksi Kelulusan Mahasiswa Berdasarkan Data Akademik Menggunakan RapidMiner Laela Nur Rohmah; Sara Khusnul Mumtazah; Alvina Damayanti; Amali
Jurnal SIGMA Vol 15 No 2 (2024): September 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i1.4332

Abstract

Higher education has an important role in the long-term development of each individual. One of the most important indicators of success for a high-performing educational institution is student achievement. There are several factors that might influence student achievement, including academic, demographic, and socioeconomic factors. This study employs the Decision Tree algorithm, which is one of several effective algorithms for making predictions or analyzing large amounts of data. This study aims to determine whether the Decision Tree algorithm can be used to predict student achievement by gathering information on accuracy, precision, and recall obtained during data collection. This study used RapidMiner tools to create a Decision Tree model and was carried out with the following steps: data collection, data analysis, Decision Tree modeling, method development, and results evaluation. Data collection on the dataset will be divided into two parts: 70% for training and 30% testing. The results of the study on the decision tree algorithm show that it has a good performance with a high accuracy of 73.17%. It also performs well in predicting graduate students with a precision of 74.05% and a recall of 93.82%, as well as dropout students with a precision of 73.02% and a recall of 80.05%.
Co-Authors Alvina Damayanti Amali Damayanti, Alvina Darnawi Darnawi Mumtazah, Sara Khusnul Nur Trama, Refi Daus Nuruzzaman, Alfiyan Retno Purwani Setyaningrum Sara Khusnul Mumtazah Yacobus Sunaryo