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All Journal Jurnal Ilmu Komunikasi Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Journal of Mathematics Theory and Applications
Alfi Maulani
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Physics Public Health Other

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Optimalisasi Motivasi Menghafal Al-Qur'an melalui Strategi Dakwah di Akun Instagram @ruangnderes Dovianti Ainurohmah; Rifqi Ishar Yasser; Alfi Maulani; Anas Azhimi Qalban
MUKASI: Jurnal Ilmu Komunikasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/mukasi.v3i2.2487

Abstract

In the digital era and advances in social media, research on how to utilize the Instagram platform to increase motivation in memorizing the Al-Qur'an is still limited. The research was conducted with the aim of investigating the da'wah strategies used by the Instagram account @ruangnderes and how these strategies help increase individual motivation in memorizing the Al-Qur'an. Using a qualitative approach with content analysis, this research observed posts, captions and follower interactions. The research results show that @ruangnderes succeeded in increasing motivation by selecting relevant content, conveying messages creatively, and actively interacting with his followers. This strategy makes a positive contribution to the individual's enthusiasm and desire to achieve the goal of memorizing the Qur'an in the current digital era. Thus, this research contributes indirectly to providing valuable insights into how social media can be utilized effectively in religious contexts. Utilizing social media such as Instagram as a da'wah platform has opened up new opportunities in spreading religious messages and motivating individuals to study the teachings of the Koran more deeply. The success of the @ruangnderes account in increasing motivation to memorize the Qur'an through social media shows the great potential that digital technology has in supporting the development of spirituality and religious activities.
Analisis Faktor-Faktor yang mempengaruhi Indeks Pembangunan Manusia (IPM) di Sumatera Utara Mulya Syahputra Daulay; Alfi Maulani
Journal of Mathematics Theory and Applications Vol. 3 No. 2 (2025): Edisi April 2025
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v3i2.7801

Abstract

The Human Development Index (HDI) measures human development achievements based on a number of basic components of quality of life. The research aims to see the influence of Expected Years of Schooling, Per Capita Expenditure and Percentage of Poor Population on the Human Development Index in North Sumatra Province. The method used in this research is a quantitative method, where the research results are then processed and analyzed to draw conclusions. From several tests, the Random Effect model (REM) was chosen as the best model. The results of the simultaneous test (F-test) of all X variables have an influence on Y variable because the F_count (714.6759) > F_table (3.30) and the test results are proven by a significant value of 0.0000 <0.05, it is concluded that H_1 is accepted and H_0 is rejected. The long-school expectation variable (HLS) (x_1) partially influences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (15.47633) > T_table (2.039613). The variable per capita expenditure (PP) (x_2) partially influences HDI in North Sumatra Province because it has a significant value of 0.000 <0.05 and the value of T_count (23.32513) > T_table (2.039613). The variable percentage of poor people (PPM) (x_3) partially infuences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (-4.117351) < T_table (-2.039613).
Optimasi Rute Distribusi Layanan Vaksin Kabupaten pada Graf Lengkap Berindeks K_8^2 Jessy Arnelia; Alfi Maulani
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i1.1950

Abstract

Graph is a discrete mathematical representation widely used to model connectivity in various fields. This study discusses the application of Hamiltonian concepts on the complete bipartite graph K_8^2 as a model for vaccine service route planning at the local level (district). The graph K_8^2 represents eight health facilities in a region, where each facility consists of seven service locations and one other supporting facility. The research method includes constructing a complete bipartite graph, identifying vertices and circuits, and tracing Hamiltonian paths to visualize routes that connect each vertex once in a closed journey. The results show that the K_8^2 graph is effective for designing vaccine distribution routes that systematically and efficiently connect all facilities across eight districts. The complete bipartite graph with Hamiltonian properties proves applicable as a model for public service route planning, with potential implementation in optimizing health logistics distribution, facility inspection, and emergency response for vaccination services at the local level.
Co-Authors Anas Azhimi Qalban Dovianti Ainurohmah Jessy Arnelia Mulya Syahputra Daulay Rifqi Ishar Yasser