UJMC (Unisda Journal of Mathematics and Computer Science)

Pencacah Bobot Lengkap dari Kode Ternari

Diana Putri Prahasti, Nur Hamid — Wed, 31 Dec 2025 00:00:00 +0700

This paper presents the explicit forms of complete weight enumerators (CWEs) for ternary self-dual codes of lengths 4, 8, 12, 16, and 20. Complete weight enumerators polynomials describe the distribution of the symbols 0, 1, and 2 in each codeword, making them essential for analyzing non-binary codes. The results focus on the complete weight enumerators polynomials that form a basis for each code. This documentation serves as a concrete reference for further research in ternary code theory.

Teorema Polya pada Graf Sederhana yang Tidak Saling Isomorfis Sembilan Simpul

Risang Narendra, Novia Ibnu Wulansari, Rizka Rizqi Robby, Galuh Tyasing Swastika — Wed, 31 Dec 2025 22:45:21 +0700

Salah satu kajian dalam teori graf yang menarik untuk diteliti adalah tentang graf yang tidak saling isomorfis. Tujuan dalam penelitian ini yaitu mencari pola banyaknya graf yang tidak saling isomorfis menggunakan Teorema Polya. Teorema Polya berkaitan dengan indeks sikel suatu grup, karena Teorema Polya merupakan teorema yang digunakan untuk menghitung banyaknya pola-pola suatu grup permutasi yang membentuk indeks sikel dari grup tersebut. Teorema Polya terdiri dari Teorema Polya I dan Teorema Polya II. Dimana Teorema Polya I digunakan untuk menentukan jumlah banyaknya graf sederhana yang tidak saling isomorfis, sedangkan Teorema Polya II digunakan untuk menentukan bentuk-bentuk dari graf sederhana yang tidak saling isomorfis tersebut. Banyaknya graf sederhana yang tidak saling isomorfis dari ???? = 9 simpul adalah 114.008.254 dan diketahui ada 1 graf tanpa sisi serta 1 graf dengan 45 sisi.

Pemodelan Keputusan Graduasi Mandiri Keluarga Penerima Manfaat Program Keluarga Harapan

Ratna Yuniarti, Harmaeniza Harmaeniza — Wed, 31 Dec 2025 22:57:24 +0700

Modeling the Independent Graduation Decision of Conditional Cash Transfer ( CCT) Beneficiary Families aims to explain the relationship between several independent variables and the dependent variable. This model is a multiple linear regression equation. In this study, we model the factors influencing the graduation decision of Conditional Cash Transfer (CCT ) beneficiaries in Pesanggrahan Village, Montong Gading District. The research method used in this study is quantitative, with data collection using a questionnaire. The results of this study indicate that internal factors include self-awareness (79.5%) and entrepreneurship (81.8%), and external factors include the influence of P2K2 activities (82.5%) and family support (79.6%). Based on the results, 86.1% of the variation in the Graduation Decision variable can be explained by variations in the four independent variables (Self-Awareness, Entrepreneurship, P2K2 Activities, and Family Support). The remaining 13.9% is explained by factors outside the research model. In this study, P2K2 activities are the most dominant factor influencing graduation decisions

Analisis Faktor Acute Flaccid Paralysis Di Provinsi Jawa Timur Menggunakan Regresi Poisson Inverse Gaussian

Wed, 31 Dec 2025 23:21:27 +0700

Acute Flaccid Paralysis (AFP) is a paralysis condition that occurs suddenly and is weak, usually experienced by children under 15 years of age and is not caused by an accident. In 2005, Indonesia experienced its first case of the polio virus, when it almost received an international polio-free certificate. East Java Province, as one of the provinces with the largest population in Indonesia, has big challenges in controlling AFP cases. In this study there were 7 variables used including 1 dependent variable, namely the number of cases of Acute Flaccid Paralysis (AFP), and 6 independent variables including Population Density (), Percentage of Polio Immunization (), Number of Health Workers (), Percentage of Clean Water Availability (), Number of Poor Population (), and Human Development Index (HDI) (). In this research data, the variance value is much greater than the average (overdispersion), so to handle this, the Poisson inverse Gaussian regression method is used because it is very suitable for dealing with count data that experiences overdispersion. The best modeling form of Poisson inverse Gaussian regression for the number of AFP cases in East Java Province is as follows:. Based on hypothesis testing, the factors that have the most influence on the best model of AFP cases in East Java Province using Poisson inverse Gaussian (PIG) regression are the Percentage of Polio Immunization (), and the Number of Health Workers (

Peramalan Produksi Gula Indonesia dengan Model ARIMA(2,2,0) Serta Bagaimana Strategi Swasembada Gula Terjadi Pada tahun 2030

Wigid Hariadi, Sulantari Sulantari, Adi Mustika — Wed, 31 Dec 2025 23:28:38 +0700

Indonesia is an agrarian country with the agricultural sector playing a vital role in meeting basic needs and boosting the social, economic, and trade sectors. One of the widely cultivated crops is sugar cane, which is the raw material for sugar. Sugar is a strategic commodity and plays a vital role in the economy and community food security. The demand for sugar is enormous, but sugar production is still unable to meet all of this demand. Indonesia continues to strive to achieve sugar self-sufficiency. Therefore, the author is interested in conducting research related to how to forecast Indonesian sugar production for 2025-2030 using the ARIMA method? And what strategies are there to achieve Indonesian sugar self-sufficiency in 2030? The results obtained are: forecasting Indonesian sugar production can be done using the ARIMA (2,2,0), with an Sun Square Residuals value of 0.210136. Indonesia's sugar production forecasts from 2025 to 2030 are: 2.497 million tons, 2.450 million tons, 2.601 million tons, 2.635 million tons, 2.646 million tons, and 2.755 million tons, respectively. To achieve sugar self-sufficiency in Indonesia by 2030, the Indonesian government needs to add 1.19 million hectares of new land for sugarcane farming.

Analisis Perilaku Swamedikasi Batuk Berdasarkan Tingkat Pengetahuan Menggunakan Regresi Logistik Multinomial pada Mahasiswa Non Kesehatan

Dian Mustofani, Hariyani Hariyani, Ahmad Afif, Krisnita Dwi Jayanti — Wed, 31 Dec 2025 00:00:00 +0700

Self-medication for cough is a common practice among non-health students. Inappropriate self-medication behavior may increase the risk of medication errors, highlighting the need for a statistical approach capable of modeling behavioral categories simultaneously. This study aimed to analyze cough self-medication behavior based on knowledge level using multinomial logistic regression among non-health students. An analytical observational study with a cross-sectional design was conducted involving 233 non-health students. The dependent variable was cough self-medication behavior categorized into several levels, while the independent variable was the level of knowledge. Statistical analysis was performed using multinomial logistic regression with maximum likelihood estimation, with the lowest behavior category set as the reference. Model significance was assessed using the likelihood ratio test, and model performance was evaluated through pseudo R-square values. The results showed that knowledge level was not significantly associated with cough self-medication behavior. The likelihood ratio test yielded a p-value of 0.100, indicating that the overall model was not statistically significant. The pseudo R-square value of 0.012 suggested that knowledge level explained only 1.2% of the variance in cough self-medication behavior. The estimated odds ratios indicated a tendency toward a lower likelihood of inappropriate self-medication behavior among students with higher knowledge levels; however, these associations were not statistically significant (p > 0.05). In conclusion, although knowledge level demonstrates a theoretically plausible direction of association, it is not a dominant determinant of cough self-medication behavior among non-health students. Further studies are recommended to include additional variables such as attitudes, prior medication experience, and access to health information to improve the explanatory power of the model.

Pemodelan Run Up Tsunami Selat Sunda Menggunakan Smoothed Particle Hydrodynamics (SPH)

Wed, 31 Dec 2025 00:00:00 +0700

The tsunami that occurred in the Sunda Strait in December 2018 caused extensive damage in the coastal areas of Banten and Lampung. This event was triggered by the collapse of Mount Anak Krakatau, which suddenly displaced water masses without being preceded by a tectonic earthquake, so its generation mechanism differs from that of a typical tsunami. In this study, the Smoothed Particle Hydrodynamics (SPH) method was used, utilizing Sunda Strait bathymetry data to construct a simulation domain, while the tsunami source was represented by fluid deformation around Mount Anak Krakatau. This study aimed to model the propagation and run-up of the tsunami to understand the distribution of the resulting wave energy. The simulation results showed that the tsunami waves tended to propagate northeast and southeast, with a high energy concentration towards the coasts of Banten and Lampung. Although limitations in particle resolution and numerical parameters made run-up values less accurate, the SPH method was able to qualitatively describe the fluid dynamics at the wave generation and propagation stages. This approach shows potential as a tool for studying the characteristics of non-tectonic tsunamis and supporting disaster mitigation efforts in coastal areas.

Penentuan Fase dan Waktu Siklus Optimum Simpang Bersinyal dengan Graf Kompatibel dan Webster Modifikasi (Studi Kasus: Persimpangan Sokaraja, Banyumas)

Dian Pratama, Kukuh Rahayu — Wed, 31 Dec 2025 00:00:00 +0700

Traffic congestion at signalized intersections can be reduced through proper signal timing. This study aims to optimize traffic-signal settings at the Sokaraja intersection, Banyumas Regency, using a directed compatibility graph and a modified Webster method. Primary data collected from October 2025 to Desember 2025 include intersection geometry (approach widths), existing signal timings, and traffic volumes (heavy vehicles, light vehicles, and motorcycles) observed over two weeks during morning, midday, and afternoon periods. Traffic movements were modeled using a directed compatibility graph to identify non-conflicting movements that can run simultaneously; weighting based on approach width and traffic volume was then used to form phases and allocate green splits. The modified Webster calculation yields an optimal cycle length of 149 s for the maximum-demand condition (and 35 s for the minimum-demand condition). Compared with field timings (e.g., red/green 117/70 s on Jl Jendral Soedirman and 137/22 s on Jl Ajibarang–Secang), the recommended timings under maximum demand are 50/86 s and 81/54 s, respectively. Effectiveness evaluation indicates that the red intervals on Jl Jendral Soedirman and Jl Ajibarang–Secang are longer than required, while the other approaches are closer to the optimized settings. These results provide a practical basis for signal retiming and for developing more adaptive control at the Sokaraja intersection.