Lestari Novianti Sinurat
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Analisis Faktor Risiko Yang Berkontribusi Terhadap Kejadian Tuberkulosis Paru di Masyarakat: Studi Epidemiologis Dan Implikasinya Dalam Pencegahan Findi Septiani; Selvia Dewi Pohan; Herdita Br Ginting; Lestari Novianti Sinurat; Monica Triyuni Sinaga; Widya Kartini Pangaribuan
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 2 (2025): Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i2.451

Abstract

Tuberculosis (TB) remains one of the main challenges in the health sector in Indonesia, with a fairly high number of cases each year. This study aims to analyze the distribution of TB cases based on occupation and identify community groups that are at higher risk of spreading this disease. The data used in this study were obtained from estimates of the 2022 TB epidemiology report. The results of the analysis show that informal workers, such as laborers and traders, are the group with the highest number of TB cases, at 36.0%. This is followed by formal workers (21.6%), farmers/fishermen (17.3%), housewives (14.4%), students (6.5%), and unemployed or retired groups (4.2%). The high prevalence of TB in informal workers is caused by several factors, including an unhygienic work environment, limited access to health services, and unhealthy lifestyles. Based on these findings, a more effective strategy is needed in efforts to prevent and control TB, especially for groups with high levels of vulnerability. Health education, increasing access to health services, improving work environment sanitation, and early detection programs are important steps in reducing the spread of TB. With the right intervention, it is hoped that the number of TB cases in Indonesia can be reduced significantly.
Analisis Laju Pertumbuhan Kota Pematang Siantar dengan Menggunakan Konsep Integral Tak Wajar pada Tahun 2024–2025 Suvriadi Panggabean; Petra Putri Sarinah Pandiangan; Mhd Fachrizal; Arief Rachman Pakpahan; Alya Dwi Lestari; Livia Mutianda; Lestari Novianti Sinurat
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i1.4579

Abstract

In this study, the population growth rate of Pematang Siantar City during the period 2022–2025 is discussed through an improper integral approach. Population growth patterns must be analyzed and predicted in the long term. Linear, geometric, and exponential growth models are used to analyze data taken from the Statistics Center. The calculation results show that the population growth rate changes every year, with an average change of 0.10% per year. The prediction for 2025–2026 shows a growth of 0.59%, indicating an increase in population. However, through an improper integral approach, it is found that a population that experiences a decrease in growth rate over time will reach a limited cumulative total population value, even if the population continues to increase. These results indicate that a long-term downward trend can lead to population shrinkage, uncontrolled growth can lead to population density. As a result, this study is expected to provide a scientific basis for population policies and sustainable development planning in Pematang Siantar City.
Penerapan Jadwal Amortisasi dan Dana Pelunasan pada Kredit Perumahan Rakyat (KPR) Bobby Putra Delon Togatorop; Arnah Ritonga; Lestari Novianti Sinurat; Monica Triyuni Sinaga; Widya Kartini Pangaribuan
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6970

Abstract

This study aims to examine the use of amortization schedules and the repayment fund approach in Public Housing Credit. By applying quantitative descriptive methods and a case study approach, this study simulates a mortgage with a credit ceiling of Rp163,800,000, a tenor of 15 years, and an interest rate of 5.65% for the first to fifth year and 13% for the sixth to fifteenth year. The results of the simulation show that without any additional strategies, the total interest to be paid reaches Rp138,887,134.14, which is almost equivalent to the total principal loan. However, by using a sinking fund strategy through regular savings of Rp1,000,000 every month (with an interest rate of 0.25% per month) for 5 years, the collected funds are Rp64,444,800 which significantly reduces the remaining principal loan. As a result, the total interest is reduced to Rp87,864,324.85, which means there is a savings of Rp51. 022. 809.29. Furthermore, this strategy has the potential to shorten repayment time. In conclusion, sinking funds are an effective approach to reducing interest burden and accelerating the repayment of Public Housing Loans.
Penentuan Kepadatan Tebar Lele yang Optimal Menggunakan Metode Integral Lipat Tiga Alvi Sahrin Nasution; Bobby Putra Delon Togatorop; Kenjo Oktaviano Damanik; Lestari Novianti Sinurat; Monica Triyuni Sinaga; Widya Kartini Pangaribuan
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 6 (2025): Desember : Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i6.883

Abstract

This study aims to determine the ideal stocking density of catfish using the triple integral method. This mathematical method is applied to accurately calculate the volume of the cultivation pond and analyze the stocking amount and biomass projection at three different density levels, namely 50, 75, and 100 fish/m³. The calculation of the volume of the pond measuring 27 m x 11 m x 1.5 m produces a value of 445.5 m³. Based on the integral calculation, the optimal stocking amount is 22,275 fish, 33,413 fish, and 44,550 fish for each density, with the final biomass projection reaching 300.7 kg, 451.1 kg, and 600.4 kg, respectively. The analysis shows that the density of 100 fish/m³ produces the highest biomass, but its application must consider technical factors such as water quality, oxygen availability, and food competition. This method provides a solid and practical mathematical foundation for more efficient, scalable, and sustainable aquaculture planning.