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All Journal JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Bangun Abdimas Journal of Applied Business and Technology Jurnal Teknologi Ilmu Komputer

Ramdhan, William

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Author-ID : 1232214

Arts Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document

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Penerapan Metode Trend Moment Untuk Memprediksi Jumlah Pertumbuhan Penduduk Amalia, Laily Rizky; Ramdhan, William; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Population growth is caused by three components, namely birth (fertility), death (mortality), and migration. These three components greatly affect the process of population growth that occurs. The development of population growth in one sub-district is very important to be detailed so that the development of the subdistrict can be improved. Forecasting is an important tool in effective and efficient planning. An important step after forecasting is done is verification of forecasting in such a way that it reflects past data and the underlying causal systems of such growth. As long as the forecasting representation is reliable, forecasting results can continue to be used. The purpose of this study is to apply the Trend Moment method to predict the population growth in Joman Water District in the next few years based on three components, namely birth (fertility), death (mortality), and migration. The results of this study can predict the number of population growth using the Trend Moment Method in 2022 with birth rates of 1573, 641 arrivals, 601 arrivals, and 235 displacements with errors below 10%

Analisis Kelayakan Penerima Bantuan Covid-19 Menggunakan Metode K–Means Nursia, Akris Nursia; Ramdhan, William; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The government provides several types of assistance during the covid-19 pandemic that is distributed through the agencies of each village throughout Indonesia, one of which is Punggulan Village air joman subdistrict. The types of assistance that have been distributed to citizens are Cash Social Assistance (BST), Social Safety Net Assistance (JPS), Non-Cash Sembako Assistance, and Cash Direct Assistance (BLT). So far the assistance provided by Punggulan Village is still done manually, so it is possible to occur errors in the collection and distribution of assistance. To solve the problem, the author applies one of the data mining algorithms, the K-Means algorithm, to determine the recipient of covid-19 assistance that is done by collecting population data by the specified attributes. Then the data is weighted to facilitate the calculation of K-Means, after that build a system to implement the K-Means algorithm and perform testing. Population data used is 50 data recipients of aid 2021 as a sample using 3 attributes, namely, income, dependents, and other beneficiaries. The result of this system is prospective recipients of Covid-19 assistance with 2 feasible clusters (C1) and unfit (C2)

Co-Authors Alfina, Chalista Amalia Amalia Amalia, Laily Rizky Chaniago, Arif Syarifuddin Deny Jollyta dermawan, ari Erick Santoso Farenza, Dinda Novri Ida Ayu Putu Sri Widnyani Ihsan, Mhd. Ihsan Ishan, Mhd Johan Johan Kifti, Wan Mariatul Mariatul Kifti, Wan Marpaung, Darmiyanti Nabila, Inaya Nadia Nadia Nursia, Akris Nursia Nurwati Nurwati Parini Prihandoko Prihandoko Rahayu, Elly Safitri, Lisda sahren, sahren SANTOSO SANTOSO Sri Amelia, Sri Sudarmin Sudarmin Susilo, Widya Amanda Syahputra, Abdul Karim Tiara, Adinda Zein, Jihan Raihan

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Journal : Building of Informatics, Technology and Science