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All Journal JURIKOM (Jurnal Riset Komputer) Safari : Jurnal Pengabdian Masyarakat Indonesia
Fithria Ulfah
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Arts Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Public Health Other

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Pengenalan dan Pelatihan Pembuatan Soal Asesmen Kompetensi Minimum (AKM) pada Guru-Guru Matematika SMP Iin Ariyanti; Fithria Ulfah; Soraya Djamilah; Ahmad Lazwardi; Rahmatya Nurmeidina
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 3 No. 2 (2023): April : Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v3i2.888

Abstract

Changes in government policy that abolished the national exam into a national assessment have an impact on teacher competencies that must be developed in preparing matters related to the national assessment. The Minimum Competency Assessment (AKM) field focuses on literacy and numeracy activities. Literacy is not only related to text but can be in the form of symbols, numbers, charts or graphs. Based on the results of research on AKM, it was stated that 12 out of 44 teachers as respondents had not yet prepared for AKM. Therefore, training to improve teacher competence in making AKM questions that focus on student numeracy needs to be carried out. This service was held at SMPN 1 Martapura and was attended by 30 teachers who were members of the Mathematics MGMP for SMPN Banjar Regency. The material presented in this activity was about the meaning and purpose of AKM, AKM components, forms of AKM questions, numeracy competency levels and links to AKM questions from the Ministry of Education and Culture. The results of the evaluation with a score of 4.13 for PkM participants showed that the participants were very satisfied with the training carried out.
Pemodelan Distribusi Waktu Kedatangan Dalam Teori Antrian Dengan Pendekatan Simulasi Monte Carlo Hevlie Winda Nazry S; Firahmi Rizky; Fithria Ulfah; Budi Antoro
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9411

Abstract

The study of queuing systems has an important role in the development of applied mathematics, especially in probability theory and stochastic processes. Classical models such as M/M/1 generally assume a Poisson arrival process so that the inter-arrival time is exponential, but in real service systems the arrival pattern is often non-Poisson with excessive variance and long tails of the distribution. This research proposes Monte Carlo simulation-based inter-arrival time distribution modeling in two scenarios: constant arrival rate (Scenario 1) and variable (Scenario 2). The interarrival data from the simulation results were analyzed using descriptive statistics and validated with the Kolmogorov–Smirnov (K–S) goodness of fit and Chi square tests for four candidate distributions: Exponential, Gamma, Weibull, and Lognormal. Descriptively, Scenario 1 has a mean of 1.9790 and a variance of 1.3238, while Scenario 2 has a mean of 2.0076 and a variance of 2.4025 and higher skewness and kurtosis. The K–S test results show that the exponential distribution is rejected in Scenario 1 (D = 0.1708; p < 0.001) and Scenario 2 (D = 0.0906; p = 0.0135). In Scenario 1, the Gamma distribution provided the best fit (K–S D = 0.0265; p=0.9808; Chi square = 19.8667; p = 0.2811). In Scenario 2, the Lognormal distribution was the most appropriate (K–S D = 0.0230; p = 0.9963; Chi square = 7.3333; p = 0.9788). These findings confirm that the exponential Poisson assumption is not always representative and that choosing a validated arrival distribution (Gamma/Lognormal) can increase the accuracy of queuing system analysis in both stable and dynamic conditions.
Co-Authors Ahmad Lazwardi Budi Antoro Firahmi Rizky Hevlie Winda Nazry S Iin Ariyanti Nurmeidina, Rahmatya Soraya Djamilah, Soraya