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Prediksi Harga Bitcoin Menggunakan Metode Regresi Linear Alvin Limawan Susanto; Ni Wayan Sumartini Saraswati; Made Wahyu Adhiputra; I Dewa Made Krishna Muku
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 13 No. 2 (2024)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v13i2.77808

Abstract

Mata uang kripto Bitcoin di Indonesia menjadi salah satu trend dan menjadi investasi mata uang virtual yang sangat menjanjikan dikarenakan harganya yang terus naik secara signifikan ditambah Bank Indonesia melegalkan penggunaan mata uang kripto sabagai aset yang dapat di perjual belikan secara legal, sehingga saya sebagai peneliti dalam jurnal ini melakukan penelitain mengunakan metode Linear Regresion yang bertujuan memprediksi harga Bitcoin dan membandingkannya dengan data aktual bitcoin. Linear Regresion adalah suatu proses yang menggunakan data time series yang dimana dalam data tersebut akan dibuat perbadingan antara data aktual dan data prediksi. Persaman yang diperoleh antara data actual dan perdiksi memiliki selisih 0.002678606940218723% dari data aktual .Pengujian keakurasian terhadap hasil prediksi yang diperoleh menggunakan R- squared memiliki nilai sebesar 0.9986666033001783. prediksi harga bitcoin mengunakan metode Linear Regresion dapat simpulkan memiliki keakurasian yang sangat baik , terlihat dari R- squared yang mendekati 1 pada pengujiannya.
A Website-Based Management Information System For Pratama Sidhi SAI Clinic Pangestu, Ni Made Diah Nandita; Radhitya, Made Leo; Adhiputra, Made Wahyu; Sandhiyasa, I Made Subrata; Udayana, I Putu Agus Eka Darma
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.370

Abstract

Healthcare services in Indonesia currently need to be improved given Indonesia's dense population, which results in patient queues at health service facilities. This is due to several factors, one of which is the manual processing of health data, as is the case at the Sidhi Sai Pratama Clinic. This research aims to improve healthcare services and provide easy access to information for both clinic staff and patients. The stages of this research method are needs analysis, system design, implementation, and testing. In the needs analysis stage, data was collected through direct observation and interviews with one of the clinic staff. The system design stage was carried out by creating a system flowchart and database model required to ensure the clinic's needs for the system were met. The results of the study showed that the system can run effectively in terms of managing patient data, patient medical records, and managing medication data. Based on the results of testing using the black box testing method, all features in the system are functioning well according to the objectives. With this system, it is hoped that the problem of patient queues can be overcome by providing effective and efficient healthcare services