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All Journal Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Indra M. Sarkis S.
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health

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Implemntasi K-Means Clustering Untuk Menentukan Tingkat Bencana Rawan Banjir di Wilayah Sumatera Utara Reimer Fernando Purba; Astri Agnes Panjaitan; Labora Triasi Butar-Butar; John Franz E.D.L. Sitorus; Rosanti Rumapea; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp210-215

Abstract

This study focuses on identifying flood-prone areas in North Sumatra, one of the provinces in Indonesia that is very vulnerable to natural disasters such as floods. The impact of floods often results in significant material losses and fatalities. Therefore, it is important to identify high-risk areas so that prevention and mitigation strategies can be implemented effectively. This study uses the K-Means clustering method and Rapid Miner software to determine the area’s most vulnerable to flooding. The results of the analysis show that areas with high flood risk are included in cluster 1, which includes areas with high potential flood vulnerability based on historical data and flood risk indicators that have been analyzed. These findings can be used to design strategies that are implemented and provide greater contributions to the region.
Pendekatan Regresi Linear Berganda untuk Estimasi Pengeluaran per Kapita di Desa dan Kota untuk Wilayah Sumatera Utara Agnes Tri Abiya Perangin-angin; Elsa Adella Siburian; Geri Juna Putra Orando Purba; Jeffry Delay Silaban; Raisa Delvina Br. Pakpahan; Theodora Risma Naftali; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp220-226

Abstract

The level of community welfare can be seen from economic factors. To find out the economic welfare of the community requires the calculation of per capita expenditure. Identifying per capita expenditure estimates can be a reference for the government and a company to find out the economic dynamics of the community. The expenditure data is per capita expenditure in villages and cities for the North Sumatra region, this data is taken from the BPS website. In estimating using the Multiple Linear Regression method and to analyze its accuracy using MAPE analysis. The results of estimation with multiple linear regression on per capita expenditure in villages and cities in North Sumatra for 2024 are 11,182, and the value obtained from the calculation with MAPE is 0.933% which means the accuracy level is 99.067%.
Analisis Pengaruh Jumlah Pengangguran Terhadap Tingkat Kemiskinan Menggunakan Metode Regresi Linear Sederhana Fransisco Julius Marpaung; Johan Siregar; Crisvan Simamora; Gilbert Surbakti; Valdiona Ginting; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp249-253

Abstract

Unemployment and poverty are problems that many people in the region experience, one of which is the city of Medan. Unemployment is one of the main causes of poverty in the community because there are not enough jobs to meet the needs of life. This study aims to analyze the influence of the unemployed on the poverty rate in Medan City using a simple linear regression method. The data came from the Central Statistics Agency of Medan City during the last five years. The analysis results showed a positive relationship between the number of unemployed and the poverty rate, with the regression coefficient showing that every 1% increase in the unemployment rate would increase the poverty rate by 1,147,853,639. The analysis results using the simple linear regression method show that the value of a= constant is 176,1392505, which means that if there is no unemployment (X), the poverty number (Y) is 176,139250. As for the b = regression coefficient, the value is 1,147853639. This means that by adding 1% to the unemployment rate (X), the number of people living in poverty (Y) will increase by 1,147853639. This research is expected to contribute to designing effective policies to reduce unemployment and poverty in Medan City.
Co-Authors Agnes Tri Abiya Perangin-angin Amron Rido Sitorus Astri Agnes Panjaitan Cinta Sinaga Crisvan Simamora Darwis Robinson Manalu Desriana Aritonang Dewi Sartika Br. Rajagukguk Diana Muthiah Sigalingging Dina Sonia Lumbantoruan Doli Hasibuan Edward Rajagukguk Egita Fanie Lumbantoruan Ella Angelica Elsa Adella Siburian Enzelina Feronika Situmorang Eva Lina Damayanti Samosir Fati Gratianus Nafiri Larosa Fransisco Julius Marpaung Geri Juna Putra Orando Purba Gilbert Surbakti Grace Theodora Valentina Purba Gracetia Sari Madu Sihite Gresa Simarmata Humuntal Rumapea Jeffry Delay Silaban Jhoni Maslan Johan Siregar John Franz E.D.L. Sitorus Josua Pedro Anata P. Joy Syahputra Lingga Juli Yanti Br. Situmorang Kevin Ginsigel Ginting Kevin Yohanes Hutauruk Kristina Surbakti Labora Triasi Butar-Butar Leoni Sancai Maria Oktaviani Gultom Naomi Gracetira Nettina Samosir Nokia Margareta Olva Andrian Naibaho Poltak Breziz Manalu Posma Lumbanraja Putra Palipi Raisa Delvina Br. Pakpahan Raisa Delvina Pakpahan Reimer Fernando Purba Riska Maria Br. Purba Rosanti Rumapea Samuel Van Basten Halomoan Manurung Silalahi, Arina Prima Smansal Hartawan Totonafo Gulo Stevanus Hendy Sitanggang Surianto Sitepu Theodora Risma Naftali Theresia Jesika Simbolon Valdiona Ginting Vony Melinda Simamora Wawan John Putra Ziraluho Yenni Tasya E. Simanungkalit yolanda yulianti pratiwi rumapea Yunita Angelina Sihombing