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All Journal Journal of Geoscience, Engineering, Environment, and Technology JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Manajemen Bisnis Eka Prasetya Journal of Islamic Digital Economics and Management
RACHMAT RAMADHAN
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Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Environmental Science Physics

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Perbandingan Klasifikasi Data Calon Pendonor Darah dengan Algoritma K-Nearest Neighbor dan Support Vector Machine RACHMAT RAMADHAN
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 2 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i2.2018

Abstract

Blood plays an important role in the human body. Meeting the need for blood is very important to improve the quality of health services and save a person's life. According to World Health Organization guidelines, blood from a donor cannot be used after 42 days. The national blood reserve that meets the standards of the International Health Organization (WHO) is 2% of the population. To know and understand the behavior of blood donors, it is very important to increase blood supply in the future, one of which is by using an algorithm to predict the behavior of blood donors. To classify prospective blood donors using the K-Nearest Neighbors Algorithm and Support Vector Machine. The data used comes from the PMI UTD, South Jakarta City, the primary data collection for blood donors. The test is done by comparing the training data and testing data. The results of the test show that the Support Vector Machine produces an accuracy of 90% greater than the K-Nearest Neighbors Algorithm which only has an accuracy of 76% with a data comparison of 60:40 with a dataset of 200 data. .
Analisis Pengaruh Sosial Media Marketing dan Diskon Harga Terhadap Keputusan Pembelian Online Dengan Brand Trust sebagai Variabel Intervening Pada Aplikasi Tik-Tokshop Di Soloraya Rachmat Ramadhan
Bridging Journal of Islamic Digital Economics and Management Vol. 1 No. 1 (2023): November
Publisher : Al-Shobar Publisher, Yayasan Islam Al-Shobar Rawaurip

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Abstract

Tujuan dari penelitian ini adalah untuk menganalisis dan membahas pengaruh pemasaran media sosial, harga diskon, dan kepercayaan merek terhadap keputusan pembelian online dalam aplikasi Tik-tokshop di wilayah Solo Raya. Metodologi penelitian yang digunakan bersifat kuantitatif, bertujuan untuk menguji hipotesis yang telah ditentukan, dan melibatkan populasi atau sampel tertentu. Selain itu, metode ini memungkinkan analisis data yang lebih terstruktur dan komprehensif. Teknik sampling yang digunakan adalah non-probabilitas, dengan pertimbangan kriteria khusus untuk responden: mereka harus menggunakan aplikasi Tik-tokshop untuk berbelanja, berusia antara 18-35 tahun, dan tinggal di wilayah Solo Raya. Analisis data dalam penelitian ini bersifat kuantitatif dan deskriptif, menggunakan teknik perhitungan statistik. Untuk menguji hipotesis dan menganalisis data, digunakan Partial Least Square (PLS). Temuan penelitian menunjukkan bahwa variabel "Pemasaran Media Sosial" memiliki pengaruh yang signifikan dan positif terhadap keputusan pembelian online di platform Tik-tokshop di wilayah Solo Raya. Hal ini menunjukkan bahwa upaya pemasaran media sosial memainkan peran penting dalam memotivasi konsumen untuk melakukan pembelian online. Variabel "Harga Diskon" juga memiliki pengaruh yang signifikan dan positif terhadap keputusan pembelian online dalam aplikasi Tik-tokshop di wilayah Solo Raya. Menawarkan diskon secara efektif memotivasi konsumen untuk berbelanja online. Selain itu, tingkat kepercayaan terhadap merek (Brand Trust) dalam aplikasi Tik-tokshop juga memiliki dampak yang signifikan dan positif terhadap keputusan pembelian online di Solo Raya. Hal ini menunjukkan bahwa konsumen dengan tingkat kepercayaan tinggi terhadap merek cenderung lebih aktif dalam berbelanja online di platform tersebut.
The Utilization of LiCSBAS for Deformation Monitoring in Geresa Segment of Matano Fault, Central Sulawesi, Indonesia Muhammad Razzaaq Al Ghiffari; Djoko Nugroho; Rachmat Ramadhan; Mochamad Rifat Noor; Noviarso Wicaksono; Agustan
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 1 (2024): JGEET Vol 09 No 01 : March (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.1.14212

Abstract

Sulawesi is situated between the confluence of three plates, resulting in a very complex tectonic setting on the island. This has an impact on the occurrence of geological structures, including faults. One of them is the Matano Fault which consists of 6 segments (Kuleana Segment, Pewusai Segment, Matano Segment, Pamsoa Segment, Ballawai Segment, and Geresa Segment). The research area is located in Morowali Regency, covering the Geresa Segment. Morowali Regency recorded an earthquake with a magnitude of 5.7 in 2012. This indicates that deformation has occurred. Therefore, this study aims to identify the deformation velocity around the Geresa Segment area. The methods used are geological observation and satellite image data processing to obtain information on deformation rates. The geological field study includes aspects of geomorphology, geological structure, and the rock types distribution. Meanwhile, the processing of satellite image data in the form of InSAR is carried out through the LiCSBAS package tools that has been integrated with LiCSAR. The analysis results illustrate the difference in deformation velocity around the Geresa Segment area. The area which is composed of Tolaka formation and Ultramafic complex tends to uplift with a deformation rate of up to 17 mm/year. In addition, alluvium that covers the southeastarn part has a land subsidence of up to 7 mm/year.
Analysis of the Influence of Social Media Marketing and Price Discounts on Online Purchase Decisions with Brand Trust as an Intervening Variable in the Tik-Tokshop Application in Soloraya Rachmat Ramadhan; Moechammad Nasir
Jurnal Manajemen Bisnis Eka Prasetya Vol 9 No 2 (2023): : Edisi September
Publisher : LPPM STIE EKA PRASETYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47663/jmbep.v9i2.321

Abstract

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Co-Authors Agustan Djoko Nugroho Mochamad Rifat Noor Moechammad Nasir Muhammad Razzaaq Al Ghiffari Noviarso Wicaksono