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Monitoring PH of Shrimp Water using Progressive Max Chart Rosyadi, Niam; Syahzaqi, Idrus; Ibrahim, Auron Saka; Sihotang, Raja Van Den Bosch; Ahsan, Muhammad; Mashuri, Muhammad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.30255

Abstract

Control charts aim to reduce variability in the process and monitor for out-of- control processes. So far, the process of monitoring quality is usually carried out partially, namely monitoring the mean process and process variability. This approach is less effective and time-consuming because two separate charts must be created simultaneously. One alternative is to analyze both parameters simultaneously, such as through the Progressive Max Chart method (Mixed-Methods Research: Quantitative and Applied). The Progressive Max Chart is a control chart designed for monitoring both the mean and variability by considering the case of subgroup observations. This study uses a quantitative approach, combining primary data collection and simulations to generate findings through statistical analysis and quantifiable measurements. The purpose of this research is to compare methods such as the Progressive Max Chart, EWMA-Max, and Max Chart. The analysis results show that the Progressive Max Chart method performs better than the Max Chart and EWMA- Max Chart, both in terms of mean, variance, and mean-variance detection, for small shifts and large shifts. The control chart performance results provide optimal outcomes for monitoring out-of-control signals at subgroup sizes of n = 2, 3, 5. This is characterized by ARL₁ values that approach 1 more quickly. This method is applied to pH data from vannamei shrimp pond water located in Madura. The Progressive Max Chart method provides optimal results by maximizing the detection of in-control signals. Additionally, it is tested on synthesized data and demonstrates optimal performance in detecting both small and large shifts in mean, variance, and mean-variance.
Peran Mahasiswa Pada Program Asistensi Mengajar: Analisis Pemahaman Siswa Kelas 11 Pada Mata Pelajaran Matematika dengan Menggunakan Uji Kruskal-Wallis dan Uji Mann-Whitney Al Hasri, Ilham; Syahzaqi, Idrus
Jurnal Pendidikan Matematika Vol. 3 No. 1 (2025): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ppm.v3i1.2199

Abstract

Kegiatan Asistensi Mengajar merupakan bagian dari MBKM yang bertujuan untuk meningkatkan kualitas pendidikan di satuan pendidikan yang dilakukan oleh mahasiswa serta evaluasi hasil pembelajaran dengan tujuan penyusunan strategi pembelajaran berdasarkan tingkat pemahaman siswa. Program Asistensi Mengajar dilakukan pada SMAN 1 Driyorejo dengan beberapa tahapan, yaitu tahap persiapan, pelaksanaan, dan evaluasi. Tahap persiapan meliputi penentuan sekolah mitra dan pengenalan lingkungan sekolah. Tahap pelaksanaan meliputi kegiatan mengajar, non mengajar, dan adminitrasi sekolah. Kegiatan mengajar dilakukan pada ruang kelas dengan pemaparan materi, latihan soal, dan sesi diskusi. Berikutnya, kegiatan non mengajar adalah kegiatan siswa di luar kelas pada lingkup sekolah, seperti upacara dan lomba menyambut hari kemerdekaan. Selanjutnya, kegiatan administratif yang dilakukan adalah melakukan rekap absensi hingga nilai ujian siswa. Tahap evaluasi dilakukan dengan melakukan analisis pada hasil ujian matematika dengan pendekatan nonparametrik dengan menggunakan uji Kruskal-Wallis dan uji Mann-Whitney. Berdasarkan hasil yang diperoleh dari uji Kruskal-Wallis, terdapat perbedaan signifikan pada hasil ujian matematika antar kelas sehingga dilakukan uji lanjutan dengan uji Mann-Whitney. Dari hasil evaluasi, diperlukan beberapa strategi agar materi dapat diterima oleh siswa secara optimal, seperti menyesuaikan tingkat kesulitan materi hingga metode pembelajaran berbasis diskusi.
MODELING AND SEGMENTATION OF FACTORS AFFECTING HUMAN DEVELOPMENT IN ISLANDS OF JAVA USING FIMIX PLS METHOD WITH MEDIATION EFFECT Az Zuhro, Muhammad Rosyid Ridho; Kurniawan, Ardi; Amelia, Dita; Syahzaqi, Idrus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0397-0412

Abstract

Human development is a key indicator used to assess the quality of a country's human resources. Although Indonesia's HDI has experienced a significant increase of 75.02 in 2024, inequality is still a pressing issue, especially in terms of gender representation in the workforce. This study aims to identify the influence of poverty, economic, health, employment and education factors on human development in Java Island by considering gender equality as a mediating variable. The data used in the study is limited to 119 districts/cities in Java Island and sourced from BPS publications, the Health Office and the Education Office. The novelty of this study lies in the use of the Finite Mixture Partial Least Square (FIMIX-PLS) approach with mediation effects which is rarely applied in human development research in Indonesia, as well as allowing the identification of latent population heterogeneity and region-based segmentation. The results of this method reveal two distinct district/city segments in Java, with Segment 1 dominated by the variables in this study that have significant direct and indirect effects through the mediation of gender equality on human development, while Segment 2 has characteristics that emphasize the effect of gender equality. Given these differences in characteristics, it is important that contextual and regional segmentation-based development policies are designed by local and central governments. Statistical segmentation approaches such as FIMIX-PLS make a significant contribution to more targeted policy making. By changing the type of intervention according to specific problems, the government can allocate resources more effectively. This supports the achievement of SDG-10 in reducing inequality.