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All Journal Jurnal Informatika Global TIN: TERAPAN INFORMATIKA NUSANTARA
Kanaka, Nayaka Al Syahreal
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Perbandingan Algoritma Decision Tree dan Support Vector Machine Dalam Pemilihan Calon Mahasiswa Penerima KIP-K Kanaka, Nayaka Al Syahreal; Heriansyah, Rudi; Puspasari, Shinta
TIN: Terapan Informatika Nusantara Vol 4 No 9 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i9.4902

Abstract

KIP Kuliah is tuition assistance from the government for high school / equivalent graduates who have good academic potential but have economic limitations. There are many things that should be considered by universities before selecting prospective students who receive KIP Lecture so that selection can be done using machine learning and classification algorithms. In this research, two machine learning algorithms will be used including: Decision Tree and Support Vector Machine (SVM). Furthermore, these two algorithms will be tested and compared the final results. Both algorithms have different results. The highest level of accuracy, precision, recall, and F1 score is 100%. This value can be achieved by the Decision Tree algorithm because the dataset used is suitable for it to solve. Therefore, the Decision Tree algorithm is recommended to be used in selecting KIP College student candidates.
Pengembangan Ide Bisnis Startup Little Farm: Digital Farming Solution Dengan Penerapan Metode Lean Startup Suhandi, Nazori; Sunardi, Hastha; Kanaka, Nayaka Al Syahreal
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.3031

Abstract

The Sustainable Development Goals or SDGs are documents containing 17 goals and 169 targets that are valid from 2016 to 2030. Indonesia is one of the countries that attended the general assembly, agreed to the document, and is active in achieving the goals that have been ratified. Of the 17 goals in the SDGs, goal 2 contains eliminating hunger, achieving food security and nutrition, and promoting sustainable agriculture. One way to do this is by gardening, but some people in urban and suburban areas have limited land. The problem of limited land can be overcome by the hydroponic method which uses water as a planting medium. There have been several similar systems that have been developed, but only focus on the monitoring and control functions of hydroponics. Little Farm as a startup developing applications and systems based on the Internet of Things will help people to manage their hydroponics more easily, and can become a new source of income to increase their economic level. The application will be developed using the lean startup method which has 3 flows, namely build, measure, and learn. The process begins with making observations on the Google search engine. Then the observation results become a reference in developing Little Farm. The final form of this research is the Little Farm application prototype. Applications will continue to be developed based on user research and feedback.
Co-Authors Nazori Suhandi Rudi Heriansyah, Rudi Shinta Puspasari Sunardi, Hastha