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All Journal EDUMATIC: Jurnal Pendidikan Informatika Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal of Informatics and Computing Jurnal Pengabdian kepada Masyarakat (Nadimas)
Dian Pramadhana
Politeknik Negeri Indramayu
Computer Science & IT Education Energy Environmental Science Health Professions Public Health Social Sciences

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Klasifikasi Penyakit Diabetes Menggunakan Metode CFS Dan ROS dengan Algoritma J48 Berbasis Adaboost Dian Pramadhana
Jurnal Pendidikan Informatika (EDUMATIC) Vol 5, No 1 (2021): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v5i1.3336

Abstract

Diabetes was a disease that occurs due to high blood-glucose levels. Researchers tried to prevent complications from developing by using data mining techniques. One of the techniques used in data mining was classification. The purpose of this study improves the accuracy of the classification of diabetes for a better and optimal result. The method in this study is Correlation Feature Selection (CFS) as attribute selection, Random Over Sampling to handle unbalanced data and AdaBoost to improve the performance of the J48 algorithm so the result obtained best. Based on the result of this study, showed that Correlation Feature Selection for attribute selection and Random Over Sampling to handle imbalance's class with the Adaboost-based J48 algorithm proved can increase the results of the diabetes classification with an accuracy of 92.3%. For the further research recommended to apply other methods so that the accuracy results obtained are more optimal for comparison.
Peningkatan Algoritma J48 Untuk Klasifikasi Hasil Prestasi Mahasiswa Selama Proses Pembelajaran Secara Daring Menggunakan CFS Dan Adaboost Dian Pramadhana; Rendi Rendi; Robi Robiyanto
Journal of INISTA Vol 5 No 1 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i1.853

Abstract

Virus corona yaitu virus yang menyebabkan infeksi saluran pernapasan pada manusia. Jumlah kenaikan penderita virus corona meningkat secara cepat dan menyebar diberbagai negara. Dalam menghadapi virus corona dunia pendidikan mengantisipasi agar penularan virus corona tidak semakin luas yaitu dengan menghentikan proses pembelajaran secara langsung dan digantikan dengan pembelajaran daring. Dalam proses pembelajaran daring tidak selalu berjalan secara baik ataupun lancar, banyak kendala yang dihadapi selama pembelajaran daring. Kendala yang ada selama proses pembelajaran daring berakibat terhadap perubahan peserta didik seperti menurunnya motivasi serta prestasi belajar mahasiswa. Berdasarkan alasan tersebut peneliti tertarik untuk menganalisis hasil prestasi mahasiswa selama pembelajaran secara daring dengan menggunakan teknik data mining yaitu teknik klasifikasi. Salah satu teknik data mining untuk melakukan klasifikasi yang dapat digunakan adalah algoritma J48. Algoritma J48 merupakan algoritma yang cukup populer dalam pengklasifikasian, namun memiliki kelemahan yaitu dalam proses klasifikasi tidak dapat memilih atribut yang relevan, hal ini dapat berdampak buruk saat proses membangun decision tree. Untuk mengatasi masalah tersebut peneliti menerapkan Correlation Feature Selection untuk seleksi atribut dan Adaboost dalam memperbaiki performa algoritma J48. Hal ini dibuktikan bahwa setelah penerapan metode yang digunakan hasil akurasi yang di peroleh menunjukan peningkatan yaitu sebesar 96,42 %.
IMPLEMENTASI WHATSAPP API UNTUK PERINGATAN DINI KEPADA ORANG TUA PESERTA DIDIK DI SEKOLAH Moh. Ali Fikri; Ahmad Lubis Ghozali; Dian Pramadhana
Journal of Informatics and Computing Vol. 2 No. 1 (2023): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1437.653 KB) | DOI: 10.31884/random.v2i1.22

Abstract

The rapid development of information systems in the current era of globalization has made almost all aspects of life unavoidable from the use of computer devices, especially in educational institutions. The number of SMA/equivalent in Indonesia is 15,497, namely in public schools there are 7,203 (46.48%) and private schools 8,294 (53.52%). West Java Province has the highest number of schools, namely 1,823 schools. Meanwhile, Indramayu Regency has 89 SMA/equivalent with details of 26 state and 63 private. One of them is SMA NU Tenajar Kidul. The school has problems with the presence of students. Often students do not enter school without explanation. However, after follow-up was carried out by the school, they received information from the parents of the students that their children were leaving home from home. So that these students are truant and cause not get knowledge in school. The need for a touch of technology that can bridge the school with parents of students. So that when there is a problem that one of the students is absent, the school can provide information to parents quickly and accurately. Therefore WhatsApp API is the right choice to provide attendance information to parents. The system was built using the nodeJS programming language and got the test results of 40 messages, getting the message sending process time of 0 milliseconds. While the time needed by the API to process the message sending is the longest 0.10522 milliseconds. If you calculate the average length of the message sending process, it is equal to 0.037826 milliseconds. Thus the WhatsApp API that has been built is very effective with performance under 1 second. All messages stored in the table are 100% sent.
PENERAPAN APLIKASI SURAT MASUK DAN SURAT KELUAR PADA SMA NEGERI 1 SLIYEG INDRAMAYU Dian Pramadhana; Robi Robiyanto; Rendi
Jurnal Pengabdian kepada Masyarakat (NADIMAS) Vol 1 No 1 (2022): Jurnal Pengabdian kepada Masyarakat (Nadimas)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.977 KB) | DOI: 10.31884/nadimas.v1i1.9

Abstract

Letter is a means of communication to convey written information by one party to another and also serves as a reminder. In an educational institution, letters are very important, both outgoing and incoming letters that have different subjects. Therefore, in recording incoming and outgoing mail documents, it is necessary to archive documents as a form of good mail administration management. Archives are recorded information in any form of media, which are created, received and managed by an agency or individual in the context of carrying out activities or because of their legal obligations which have an important role as a source of information. One of the schools in the Indramayu area, especially SMA Negeri 1 Sliyeg, in managing letter archives still uses manuals recorded in ledgers and letter administration documents are stored in binders, so that it becomes less efficient in managing letter archive document administration. So that a computerized administration filing application for incoming and outgoing mail is made. In making applications for archiving incoming and outgoing letters, you can use the PHP programming language, data storage with a MySQL database, display applications with the Codeigniter Framework, and notebook or computer hardware. This application can save correspondence files with image file formats. Can make it easier to search for mail archives in the form of reports based on date, month, and year.
Co-Authors Ahmad Lubis Ghozali Moh Ali Fikri Rendi Robi Robiyanto