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All Journal Jurnal Rekayasa Material, Manufaktur & Energi AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Jurnal Penelitian dan Pengkajian Ilmiah
Sianipar, Alexcandro Hibertus
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Modifikasi Jubah Tembus Pandang Militer Dengan Memanfaatkan Material Kristal Anisotropik (Kalsit [CaCO3]) Talalu, Lidya Ananda; Sianipar, Alexcandro Hibertus; Aritonang, Sovian
Rekayasa Material, Manufaktur dan Energi Vol 8, No 1: Januari 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i1.21906

Abstract

The need for camouflage technology in the military is becoming increasingly urgent due to advancements in technology. Particularly in disguise operations, more sophisticated efforts are required to assist military personnel. Replacing facial camouflage gel with cloaks is considered more efficient as it can cover larger portions of soldiers' bodies. Therefore, an invisible cloak is developed utilizing anisotropic crystal materials, specifically calcite crystals (CaCO3), which work through light reflection to make the cloak's wearer appear invisible when light reflects off the cloak. With the help of transformational optics, this invisible cloak operates by bending the light wave paths around the object to be concealed.
Model Distribusi Poisson dan Gamma Untuk Analisis Penyakit TBC di Daerah Provinsi Jawa Barat Firdaus, Fibo Ramy; Ismauz, Suryadi Mulya; Sianipar, Alexcandro Hibertus
CENDEKIA : Jurnal Penelitian dan Pengkajian Ilmiah Vol. 2 No. 1 (2025): CENDEKIA : Jurnal Penelitian Dan Pengkajian Ilmiah, Januari 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/jsn70n81

Abstract

Penelitian ini menganalisis faktor-faktor yang mempengaruhi jumlah kasus Tuberkulosis (TBC) di Jawa Barat dengan menggunakan model distribusi Poisson dan Gamma. Hasil analisis menunjukkan bahwa jumlah penduduk memiliki pengaruh signifikan terhadap peningkatan jumlah kasus TBC, dengan setiap penambahan satu unit jumlah penduduk diperkirakan akan meningkatkan jumlah kasus penyakit TBC sebesar 38.23%. Meskipun Indeks Kesehatan menunjukkan hubungan positif dengan jumlah kasus TBC, terdapat ketidakpastian yang tinggi dalam pengaruhnya, yang mencerminkan kompleksitas hubungan antara status kesehatan masyarakat dan prevalensi penyakit. Di sisi lain, jumlah rumah sakit berkontribusi terhadap peningkatan jumlah kasus TBC, meskipun pengaruhnya kecil. Model ini memiliki nilai precision parameter sekitar 5.98, yang menunjukkan adanya variasi dalam data yang diamati. Temuan ini menyoroti peran penting dari jumlah penduduk dan fasilitas kesehatan dalam pengendalian penyakit TBC. Penelitian ini merekomendasikan integrasi faktor-faktor lain yang mungkin tidak tercakup dalam model ini, serta mempertimbangkan faktor sosial-ekonomi yang lebih luas, untuk intervensi yang lebih efektif. Pendekatan berbasis data yang lebih mendalam dan cermat diperlukan untuk mengoptimalkan upaya pencegahan dan penanganan TBC di tingkat kabupaten/kota, terutama di daerah dengan populasi padat seperti Jawa Barat
Penentuan Model Terbaik dalam Pengaruh Lapangan Usaha dan Nilai Ekspor Terhadap Pertumbuhan Ekonomi di Indonesia Sianipar, Alexcandro Hibertus
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 1 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/m058dk21

Abstract

This study aims to evaluate the effect of business sector and export value on economic growth in Indonesia using Generalised Linear Models (GLM) and Integrated Nested Laplace Approximation (INLA) approaches with Gamma and Gaussian distributions. The results showed that agriculture, forestry and fishing (PKP), mining and quarrying (PP) and fiscal (PK) sectors have a significant impact on economic growth, while real estate (RE) and export value (NE) are not significant. Based on the Akaike Information Criterion (AIC), the best model is the GLM with Gaussian distribution, which provides a balance between model complexity and the ability to explain the data. The INLA method provided consistent results with informative confidence intervals, but did not outperform the GLM in model evaluation. This study provides insights for policy makers to prioritise the PKP, PP and PK sectors in promoting economic growth and recommends further research with additional variables and more complex analytical methods for more in-depth results.
Pemodelan Spasial: Analisis Pengaruh Indikator Sosio-Ekonomi terhadap Pesebaran Industri Kecil dan Mikro di Indonesia Harits, Jiyaad Muhamad; Argyanti, Talitha; Sianipar, Alexcandro Hibertus
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 2 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/aksioma.v2i2.917

Abstract

This study examines the influence of socio-economic indicators on the distribution of small and micro industries (SMI) in Indonesia using spatial modelling. The research employs a Bayesian approach with the Integrated Nested Laplace Approximation (INLA) method to analyse spatial dependencies and heterogeneity across regions. Data were obtained from the Central Bureau of Statistics (BPS), focusing on variables such as Gross Domestic Product (GDP), unemployment rate, Human Development Index (HDI), and poverty rate. The results indicate that HDI has a significant positive impact on the distribution of SMI, suggesting that improvements in education, health, and living standards foster the growth of small and micro enterprises. Spatial analysis reveals regional variations in SMI potential, with Yogyakarta, Gorontalo, and Maluku showing the highest relative potential. Conversely, regions like Papua and West Papua face significant challenges due to infrastructure and socio-economic limitations. The findings provide valuable insights for policymakers to design targeted interventions to support SMI development in different regions.
Co-Authors Argyanti, Talitha Aritonang, Sovian Firdaus, Fibo Ramy Harits, Jiyaad Muhamad Ismauz, Suryadi Mulya Talalu, Lidya Ananda