Vol. 4 No. 1 (2025): Jurnal Statistika dan Komputasi

Jurnal Statistika dan Komputasi (STATKOM) is an open-access journal (e-journal) published by the Statistics Study Program, Faculty of Science and Technology, Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI). STATKOM publishes the article based on research or equivalent to research results in Applied Statistics and Computation on various scopes related to Computational Statistics and Data Analysis. This journal is published twice a year (June and December) in Indonesian and English. It started to publish in June 2022 (Vol. 1 No. 1 June 2022), and each number contains five articles. STATKOM was registered with E-ISSN 2963-0398 (online media) and ISSN 2963-038X (printed) for publication in December 2022 (Vol. 1 No. 2 December 2022) and the subsequent publication. In early April 2023, STATKOM received Garuda indexation to fulfil the first requirement for Sinta indexation in the next few years.
Some of these studies show the application of statistical and data mining methods in the fields of environment, transportation, education, and employment. Modelling IKLH with Truncated Splines and MARS helps formulate more effective environmental policies. Railway freight forecasting using SARIMA supports national logistics planning and management. The analysis of teacher data literacy training satisfaction using PLS-SEM is useful for evaluating and improving online training programs. Clustering job seekers in Bojonegoro with K-Means and Fuzzy K-Means facilitates the formulation of employment strategies. Meanwhile, analysing student distribution with Kernel K-Means helps equalise educational facilities and access in the region.
Articles
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Pemodelan Indeks Kualitas Lingkungan Hidup di Indonesia dengan Spline Truncated dan MARS
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Peramalan Jumlah Barang Kereta Api di Indonesia Menggunakan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA)
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Modeling the Satisfaction of Data Literacy Online Training for High School Teachers Using PLS SEM
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Clustering Job Seekers in Bojonegoro Using K-Means and Fuzzy K-Means
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Clustering Analysis of School Student Distribution in Bojonegoro Regency with Kernel K-Means
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