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Kemampuan Pemecahan Masalah Matematika Siswa dalam Menyelesaikan Soal Asesmen Kompetensi Minimum (AKM) Numerasi pada Siswa Fase E.2 SMAN 1 Banuhampu Tahun Pelajaran 2022/2023 Fauziah, Irma; Isnaniah, Isnaniah; Aniswita, Aniswita; Firmanti, Pipit
Juring (Journal for Research in Mathematics Learning) Vol 7, No 1 (2024)
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/juring.v7i1.25795

Abstract

Penelitian ini bermaksud untuk melihat kemampuan pemecahan masalah matematika siswa dalam menyelesaikan soal Penilaian Kompetensi Minimum (AKM) Berhitung untuk siswa tahap E.2 di SMAN 1 Banuhampu tahun ajaran 2022/2023. Subjek dalam penelitian ini adalah seluruh 35 siswa tahap E.2 SMAN 1 Banuhampu. Pengumpulan data dilakukan melalui tes administrasi. Hasil penelitian menunjukkan bahwa kemampuan pemecahan masalah matematika siswa dalam menyelesaikan soal AKM Numeracy yang terdiri dari 5 soal berada pada kategori rendah dengan nilai rata-rata 29,60%. Nilai persentase rata-rata untuk indikator pertama pemahaman soal adalah 39,71% dalam kategori rendah, indikator kedua adalah menyusun rencana, yaitu 31,24% dalam kategori rendah, indikator ketiga adalah melaksanakan rencana, yaitu 32,28% dalam kategori rendah, dan indikator keempat melihat ke belakang yaitu 2,38% dalam kategori sangat rendah. Berdasarkan kemampuan pemecahan masalah matematika siswa secara keseluruhan dalam menyelesaikan Penilaian Kompetensi Minimum (AKM), soal-soal berhitung berada pada kategori rendah.
Mathematical Modeling of HIV/AIDS Disease Spread with Public Awareness Fauziah, Irma; Manaqib, Muhammad; Zhafirah, Elisda Mieldhania
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 9, No 1 (2024): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v9i1.23424

Abstract

This study develops mathematical model for the spread of HIV/AIDS by the population is divided into seven sub-populations, namely the susceptible unaware HIV subpopulation, the susceptible aware HIV sub-population, the infected sub-population, the pre-AIDS sub-population, the ARV treatment sub-population, the AIDS sub-population, and unlikely to be infected with HIV/AIDS sub-population. In this mathematical model, two equilibrium points are obtained, namely the disease-free equilibrium point and the disease-endemic equilibrium point and the basic reproduction number . The stability analysis shows that the disease-free equilibrium point is locally asymptotically stable if  and the disease-endemic equilibrium point is locally asymptotically stable if . Numerical simulations of the equilibrium points are carried out to provide an overview of the analyzed results with parameter values from several sources. Based on the sensitivity analysis, the parameters that significantly affect the spread of HIV/AIDS are the contact rate of HIV-unaware individuals with infected individuals and the transmission rate of HIV infection
Identifikasi Komoditas Unggulan Pertanian Kecamatan Bandar, Kabupaten Batang, Jawa Tengah Simamora, Liska; Fauziah, Irma; Novitaningrum, Restie; Fadhilah, Muhammad Luthfie
Journal of Agribusiness, Social and Economic Vol. 5 No. 2 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jase.v5i2.7132

Abstract

This study aims to identify the leading agricultural commodities in Bandar Subdistrict, Batang Regency, Central Java, using the Location Quotient (LQ) method. The background of this research is based on the absence of clear specialization in agricultural commodities in Bandar, despite its agroecological potential. The data used include harvested area statistics for major food crops such as rice, maize, cassava, sweet potatoes, and peanuts. The LQ method measures the comparative advantage of a commodity by comparing its share of harvested area at the subdistrict level with that at the regency level. The results reveal that four commodities namely maize (LQ=1.2), cassava (LQ=3.2), sweet potatoes (LQ=8.8), and peanuts (LQ=5.6) are categorized as leading commodities. Each of these demonstrates regional specialization and is supported by factors such as agroclimatic suitability, farming experience, input availability, and market demand. Conversely, rice has an LQ value of 0.7, indicating it is not a leading commodity in the area due to limited water infrastructure. This research provides valuable insights for policymakers in designing development strategies that are focused and sustainable. The findings contribute to improving the effectiveness of agricultural planning and optimizing resource allocation, ultimately supporting farmer welfare and local economic resilience through the strengthening of agribusiness potential.
LITERASI DIGITAL PETANI DI DESA SEKITAR KAWASAN INDUSTRI: STUDI KASUS DI KAWASAN INDUSTRI BATANG, JAWA TENGAH Fadhilah, Muhammad Luthfie; Fauziah, Irma; Rahmaningtyas, Avivah
Journal of Agribusiness, Social and Economic Vol. 5 No. 2 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jase.v5i2.7430

Abstract

The rapid development of industrial areas in Indonesia presents unique challenges for the community, particularly in adapting to technology and information. In this context, digital literacy is a crucial aspect that determines the ability of farmers to maintain and develop their agricultural practices amidst the flow of modernization and digitalization that accompanies the growth of industrial areas. The objectives of this study are: 1) to analyze the factors that determine the digital literacy of farmers around the Batang Industrial Park area, and 2) to examine the differences in digital literacy levels between farmers located in areas directly adjacent to the industrial area and those located in areas that are not directly adjacent. The research method used a survey. The analysis used multiple linear regression analysis and the Wilcoxon-Mann-Whitney difference test. The study's results indicate that age and education significantly influence farmers' digital literacy level. The older the farmer, the lower the digital literacy. Meanwhile, about education, the higher the level of education, the higher the level of digital literacy of farmers. Furthermore, there are differences in digital literacy levels between farmers located in areas directly adjacent to the Batang Industrial Park area and in areas not directly adjacent. Stakeholders need to collaborate to improve digital farmer literacy, such as by providing access to digital devices and regular training on the use of digital agricultural technology, so that farmers can keep up with current developments and improve the efficiency of their businesses.
Pengetahuan dan Sikap Petani terhadap Keberadaan Industri di Kabupaten Batang serta Dampaknya pada Praktik Keberlanjutan Pertanian Rahmaningtyas, Avivah; Fauziah, Irma; Fadhilah, Muhammad Luthfie
Journal of Agribusiness, Social and Economic Vol. 5 No. 2 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jase.v5i2.7434

Abstract

This study aims to analyze the effect of farmers’ knowledge on attitude and the effect of attitude on farming sustainability practices in Batang Regency. The research is motivated by the establishment of the Batang Special Economic Zone (SEZ) in 2025, which influences farmers’ behavior near SEZ. The research sample consisted of 200 farmers from Gringsing, Limpung, and Tulis sub-districts, which are closest to Batang SEZ This number met the minimum requirement of 170 respondents (the number of indicators multiplied by 10). Primary data were collected through interviews using questionnaire in July 2025. The study employed a quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that the Knowledge variable has a significant positive effect on Attitude (T-statistic = 11.333 > 1.960; path coefficient = 0.570). Furthermore, Attitude significantly influences Farming Sustainability (T-statistic = 4.669 > 1.960; path coefficient = 0.270).
PENGARUH LITERASI DIGITAL DAN SOCIAL INFLUENCE TERHADAP ADOPSI TEKNOLOGI DIGITAL OLEH PETANI KOPI PEREMPUAN DI KABUPATEN TEMANGGUNG Fauziah, Irma; Rahmaningtyas, Avivah; Luthfie Fadhilah, Muhammad
Journal of Agribusiness, Social and Economic Vol. 5 No. 2 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jase.v5i2.7452

Abstract

This study aims to analyze the influence of digital literacy and social support on the adoption of digital technology among female coffee farmers in Temanggung Regency. Primary data were obtained through structured interviews using a questionnaire. The research location and respondents were determined through purposive sampling, with criteria including female farmers who are actively engaged in coffee farming activities, reside in Temanggung Regency, and have utilized digital technology to support their farming operations. The total number of respondents in this study was 70. Data were analyzed using multiple linear regression. The results show that digital literacy has a positive and significant effect on the ability of female farmers to utilize digital technology, both in accessing cultivation information and in marketing agricultural products. Meanwhile, social support has a more dominant influence in encouraging the adoption of digital technology, particularly through the influence of family members, farmer groups, agricultural extension workers, and agricultural input suppliers. These findings highlight that improving digital literacy capacity needs to be complemented by strengthening social networks to accelerate an inclusive and sustainable digital transformation in coffee farming managed by women.