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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JSiI (Jurnal Sistem Informasi) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Social Responsibility Projects by Higher Education Forum J-SAKTI (Jurnal Sains Komputer dan Informatika) J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Digital Transformation Technology (Digitech) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Pengabdian Harapan Bangsa Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal)

Kifti, Wan Mariatul

Universitas Royal

Author-ID : 3477549

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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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)

Implementasi Metode Multi Factor Evaluation Process (MFEP) Pada Sistem Penilaian Kinerja Kelurahan di Kecamatan Siregar, Beni Harianto; Helmiah, Fauriatun; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The Datuk Bandar District Office of Tanjungbalai City annually holds a performance competition between villages to determine the best village by the criteria that have been determined. Selection is carried out through administrative selection, presentation selection, and visit selection, concerning Permendagri number 13 of 2007 concerning guidelines for organizing village and village competitions. For administrative selection, there are already separate rules and systems used to calculate the score of the assessment results. Presentation selection is judged by the mastery of the material, the appearance of giving the material, and the timeliness of the presentation. As for the selection of airy visits, it is assessed from superior products and innovations. So far in the process of assessing the presentation selection and field visit selection at the village competition at the level of the Datuk Bandar District Office of Tanjungbalai City, the assessment team formed by the Tanjungbalai City Datuk Camat still has difficulty in determining the best village performance due to differences of opinion between the assessment team and each other in determining the winner. In addition, the calculation process is still done manually so the calculation results take a long time and the possibility of miscalculation occurs. The results of the village performance competition are considered not objective, it should be worthy of being the best village but not getting it. For this reason, the application of decision support systems is needed to help provide recommendations with more accurate, effective, and efficient results.The method used in this decision support system is MFEP, as an alternative solution for decision-makers to easily determine the village performance competition that deserves the title of the best village based on the weight value obtained in the assessment process. The results of this study, can help in the assessment system of the Village Performance Competition at the Datuk District Office of Tanjungbalai City Where the results of sirantau village as the village with the best performance with a value of 3,765, then sijambi village with a value of 3,471 and johor panti village with a value of 3,412.

Sistem Pakar Deteksi Awal Covid-19 Menggunakan Metode Certainty Factor Nasution, Rama Danil Fahri; Hutagalung, Jhonson Efendi; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Data on the development of Covid-19 cases globally and in Indonesia and predictions of an increase in the number of cases, of course, it is necessary to take several steps in dealing with Covid-19, the community must implement physical distancing and maintain personal hygiene and the surrounding environment as preventive measures to suppress the spread of Covid-19. This is in accordance with WHO's appeal regarding strategic steps in dealing with the global Covid-19 pandemic. As in other countries, suspect Corona (people who show symptoms of being infected with COVID-19 and are suspected of having had contact with positive COVID-19 patients) are increasing in Indonesia so that requests for specimen tests at laboratories that have been appointed by the government have also increased. For this reason, another way is needed to detect COVID-19 that is more practical and faster by analyzing data using the Certainty Factor method. With the Covid-19 Early Detection expert system, so that it can provide convenience for Aek Kanopan Regional General Hospital (RSUD) doctors and patients in carrying out the Covid-19 Early Detection process in the database. Can help the Regional General Hospital Doctor (RSUD) Aek Kanopan and provide services to patients in terms of the existing Covid-19 Early Detection and successfully conclude the early symptoms of covid-19 and their handling solutions

Co-Authors Adnan Fauzi Ahmad Muhazir Amalia Amalia Amalia Amalia Amalia, Laily Rizky Annisa Azzahra Apriaji Kurniawan Ari Dermawan Arip Muhridan Arridha Zikra Syah Bachtiar Efendi Bachtiar Efendi, Bachtiar dermawan, ari Dian Aprillia Dian Aprillia Enda Triswati Endra Saputra Frans Andrean Hasibuan Gustin, Sela Habibullah . Helmiah, Fauriatun Herman Saputra Herman Saputra Hutapea, Tiofani Br. Imam Wahyudi Indrawan, Imam Wahyudi Irene Hasian Jeperson Hutahaean Jhonson Efendi Hutagalung Lubis, Syafaat Sufi M Irfan Fahmi M. Zulfakhri Jain Mayang Sari, Windy Astika Muhammad Amin Muhammad Novri Rachmawan Nabila, Inaya Nasrun Marpaung Nasution, Rama Danil Fahri Ningrum, Mawar Puspitha Novianti Novianti Nur Aini Nur Aini Nur Wati Nuriadi Manurung Nuriadi Manurung Nursia, Akris Nursia Nurwati Nurwati Nurwati Nurwati Puspita Deri Syahfitri Putri Indriani Rahayu, Elly Raja Fazlun Dinara Ramdhan, William Reski Ramadhan Siregar Risnawati Risnawati Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin, Rohminatin SANTOSO SANTOSO Santoso Santoso SATRIYAS ILYAS Sela Gustin Siagian, Yessica Siregar, Beni Harianto Sri Okta Purnamasari Suci Andriyani Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sumarlin Sumarlin Syafaat Sufi Lubis Syahira Syahira Tri Anjar Ningsih Vira Fahrani Waji Datur Rahmi Sipahutar Wan Mhd Iqbal Muttaqin William Ramdhan Windy Astika Mayang Sari Windy Swaradana Yessica Siagian Zulfi Azhar

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