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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdimas Perbanas
Finsensia Riti, Yosefina
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Computer Science & IT Economics, Econometrics & Finance Social Sciences

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PERBANDINGAN ALGORITME K-MEANS CLUSTERING DAN FUZZY C-MEANS UNTUK PENENTUAN STRATEGI PROMOSI UNIVERSITAS KATOLIK DARMA CENDIKA Kevin Herijanto, Christopher; Finsensia Riti, Yosefina
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 3 (2024): JATI Vol. 8 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i3.9660

Abstract

Universitas Katolik Darma Cendika, sebagai salah satu Perguruan Tinggi Swasta (PTS) di Kota Surabaya, secara rutin melibatkan diri dalam kegiatan promosi setiap tahunnya. Proses promosi ini melibatkan investasi biaya yang signifikan, maka dari itu hasil yang optimal diharapkan dapat dicapai dari upaya tersebut. Keberhasilan promosi dapat dinilai dari jumlah mahasiswa yang mendaftar pada awal tahun ajaran baru. Penentuan strategi promosi bukanlah tugas yang sederhana, mengingat perlu mempertimbangkan beberapa aspek tertentu. Untuk membantu dalam menentukan strategi promosi di Universitas Katolik Darma Cendika, pendekatan data mining dapat digunakan. Probabilitas statistika memungkinkan penemuan pola baru dari kumpulan data yang tersimpan. Salah satu teknik dalam probabilitas statistika adalah clustering, dan algoritme yang digunakan di sini adalah K-Means dan Fuzzy C-Means. Setiap algoritme memiliki kinerja dan akurasi yang berbeda tergantung pada karakteristik data yang digunakan. Dengan melakukan perbandingan antara 2 algoritme tersebut, penelitian ini dapat memberikan hasil algoritme yang lebih baik untuk digunakan sebagai strategi promosi dengan pengujian Silhouette Coefficient dan pengujian jumlah iterasi. Pengujian Silhouette Coefficient menunjukkan bahwa algoritme K-Means lebih unggul dibandingkan Fuzzy C-Means. Nilai Silhouette Coefficient rata-rata algoritme K-Means sebesar 0,2833. Sedangkan nilai Silhouette Coefficient rata-rata algoritme Fuzzy C-Means sebesar -0.1456
PERAN KOMPOSTER DALAM PENYEIMBANG LINGKUNGAN AKIBAT DAMPAK PENUMPUKAN SAMPAH ORGANIK WARGA Putra, Heristama; Finsensia Riti, Yosefina; Alesandro Santosa, Hosea; Christopher, Jeremy
Jurnal Abdimas Perbanas Vol. 7 No. 1 (2026): Jurnal Abdimas Perbanas
Publisher : Institut Keuangan-Perbankan Dan Informatika Asia Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56174/jap.v7i1.1175

Abstract

One of the biggest problems caused by waste also stems from the increasing number of immigrants from year to year, resulting in an increase in the city's population. Furthermore, it is also a result of the economic cycle of residents who daily require primary necessities such as food and drink to sustain life. The large amount of household organic waste can cause accumulation in the TPS (Temporary Disposal Site) area and, if left untreated, can become a source of disease in the environment. A good environment is expected to prevent its residents from a slum atmosphere and ensure the health of its residents. Currently, in the Babatan Pilang Housing area, especially in the RT.002 area, the amount of daily waste produced by residents is very large, requiring additional management to reduce the volume of waste. By using the vertical culture method, the community service team, together with residents, collaborated to create several composters as an additional alternative for storing household organic waste. The implementation of this method has been carried out from the beginning, starting from mentoring, implementation, monitoring, and evaluation of all community service activities that have been carried out. So the expected result is that the existence of the composter can be an alternative for disposing of household organic waste through a natural decomposition process in the soil. The results of this decomposition can later be developed to produce compost fertilizer which can be used well for sowing/fertilizing all plants in the surrounding environment.
Co-Authors Alesandro Santosa, Hosea Christopher, Jeremy Kevin Herijanto, Christopher Putra, Heristama