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IMPLEMENTATION OF C4.5 ALGORITHM FOR ASSESMENT OF COMMUNITY SATISFACTION Rahmat Sulaiman; Agustina Mardeka Raya; Laurentinus; Aria Setiawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1826

Abstract

This Research applies the C4.5 Algorithm in deciding community satisfaction of sommunity services. Algorithm C4.5 is a classification algorithm with a decision tree technique that is well known and preferred because it has many advantages. These advantages, for example, can process numeric and discrete data, can handle missing attribute values, produce rules that are easy to interpret and the fastest. This research is a classification with the concept of data mining involving 20 community questionnaire data which are categorized as: cheap, expensive, appropriate, inappropriate, fast, long, comfortable, uncomfortable. There are four attributes that affect community satisfaction including: handling costs, service procedures, handling time and convenience. From the results of this research that has been conducted by researchers, it can be concluded. The customer satisfaction of the community services can be predicted and evaluated by utilizing data mining techniques using the C4.5 Algorithm to predict community satisfaction. This research also provided that C4.5 Algorihtm can be used to get high result of accuracy
DESAIN APLIKASI UJIAN PERANGKAT DESA MENGGUNAKAN ALGORITMA LINEAR CONGRUENT METHOD BERBASIS ANDROID Laurentinus
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 2 (2023): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i2.1963

Abstract

Perubahan aktifitas penggunaan teknologi saat ini mengalami peningkatan yang besar di sektor pemerintahan untuk meningkatkan pelayanan kepada masyarakat dengan cara memudahkan proses administrasi. Permasalahan yang terjadi di desa-desa khususnya di kantor desa deniang yaitu belum adanya teknologi yang dapat menyaring calon perangkat desa dengan SDM yang sesuai kebutuhan pemerintahan. Namun sayangnya proses seleksi masih secara manual sehingga terjadinya kekurangan efektif dan terjadi kesalahan perekrutan tidak sesuai kriteria dan kompetensi yang diharuskan mengerti teknologi terutama dibidang mobile. Dibutuhkan sistem berbasis mobile yang tidak perlu pengadaan perangkat keras penunjang, proses ujian dapat menggunakan smartphone calon perangkat desa. Penelitian ini menggunakan model prototype dan metode berorientasi objek dengan Tools UML. Bank soal dengan jumlah soal yang besar maka dibutuhkan juga algoritma pengacakan yang efektif dengan performa yang cepat seperti algoritma Linear Congruent Method dalam mengacak pertanyaan yang ada pada aplikasi secara random. Hasil dari penerapan algoritma pada aplikasi mobile telah diuji dan berjalan dengan baik di berbagai smartphone berbasis android diatas versi jellybean, Dengan aplikasi ini maka kegiatan dalam perekrutan calon perangkat desa menjadi lebih mudah dan maksimal.
IMPLEMENTATION OF C4.5 ALGORITHM FOR ASSESMENT OF COMMUNITY SATISFACTION Rahmat Sulaiman; Agustina Mardeka Raya; Laurentinus; Aria Setiawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1826

Abstract

This Research applies the C4.5 Algorithm in deciding community satisfaction of sommunity services. Algorithm C4.5 is a classification algorithm with a decision tree technique that is well known and preferred because it has many advantages. These advantages, for example, can process numeric and discrete data, can handle missing attribute values, produce rules that are easy to interpret and the fastest. This research is a classification with the concept of data mining involving 20 community questionnaire data which are categorized as: cheap, expensive, appropriate, inappropriate, fast, long, comfortable, uncomfortable. There are four attributes that affect community satisfaction including: handling costs, service procedures, handling time and convenience. From the results of this research that has been conducted by researchers, it can be concluded. The customer satisfaction of the community services can be predicted and evaluated by utilizing data mining techniques using the C4.5 Algorithm to predict community satisfaction. This research also provided that C4.5 Algorihtm can be used to get high result of accuracy