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Prototipe Pemandu Parkir Mobil Dengan Output Suara Manusia Mengunakan Mikrokontroler Arduino Uno Kadek Pindrayana; Rohmat Indra Borman; Bagas Prasetyo; Samsugi Samsugi
CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2018)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v2i2.3705

Abstract

To facilitate the parking of the car to be efficient parking equipment was needed by using the distance with objects. In this research, the development of prototype of car parking guide by displaying information by using centimeter or meter unit and using sound output to facilitate the user in parking their vehicle. From the analysis and testing of prototype car park guides with human voice output indicates that this prototype can give good results. Ultrasonic sensor SRF05 can work well but in the sensor distance of more than 3 meters cannot send data
Comparison of Elliptic Envelope Method and Isolation Forest Method on Imbalance Dataset Supri Bin Hj Amir; Bagas Prasetyo
Jurnal Matematika, Statistika dan Komputasi Vol. 17 No. 1 (2020): JMSK, SEPTEMBER, 2020
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jmsk.v17i1.10899

Abstract

The problem of unbalanced data is important in the field of Data Mining. Dataset with unbalanced classes is a dataset whose frequency of occurrence of certain classes is very much different from other classes. This imbalance problem will bias the classifier's performance. Many researchers have examined both the development of algorithms and modifications to the preprocessing stage to overcome this problem. This study discusses the comparison of One Class Classification algorithms, namely Elliptic Envelope and Isolation Forest on unbalanced data. From this study, the Elliptic Envelope Method showed better results compared to the Isolation Forest method with 80.28% recall testing and 80.28% precision while Isolation Forest showed 46.95% recall results and 46.95% precision.
The Relationship of Self Regulated Learning with Academic Procrastination of Students of SMA Negeri 1 Tambun Selatan Nurmawati Nurmawati; Bagas Prasetyo
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 2 (2022): Budapest International Research and Critics Institute May
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i2.5278

Abstract

In the world of Education today, some problems often occur in high schools, namely academic procrastination, which is still carried out by students. Academic procrastination is the tendency of individuals to deliberately delay the start or completion of important and timely tasks on academic tasks. To reduce this impact, it is necessary to have self-control in learning that can support the achievement of learning goals by regulating and controlling a learning system known as self-regulated learning. This study aims to determine the relationship between self-regulated. I was learning with. Academic procrastination in SMAN 1 Tambun Selatan students. This study uses a correlational method with a quantitative approach. The sample in this study amounted to 110 students from class X and XI SMA Negeri 1 Tambun Selatan taken using a simple random sampling technique. The analysis technique used is the product-moment correlation technique with a significance level of 5%. Based on the analysis results, it is known that the F value is 0.798, and the significance value is 0.000 (P <0.05). The results showed a relationship between self-regulated learning and academic procrastination in students of SMA Negeri 1 Tambun Selatan.
The Determinant of Regional Expenditure: A Study in Central Java Bagas Prasetyo; Winny Perwithosuci
IECON: International Economics and Business Conference Vol. 1 No. 1 (2023): International Conference on Economics and Business (IECON-1)
Publisher : www.amertainstitute.com

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65246/cxr9c177

Abstract

Regional expenditures are part of regional spending, where these expenditures consist of direct expenditures and indirect expenditures. This studyaims to examine the factors that influence regional expenditures. Variables that affect regional spending consist of Regional Original Income, Gross Regional Domestic Product, Human Development Index, and Population. This research method uses panel data regression with the Fixed Effect Model approach throughEviews 10 to analyze panel data from 2015-2020 in 29 districts and six cities in Central Java province. The study results show that Regional Original Income andGross Regional Domestic Product significantly positively affect Regional expenditure. In contrast, the Human Development Index and Total Population have no significant effect on Regional expenditure.