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All Journal G-Tech : Jurnal Teknologi Terapan Telaah Bisnis Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Eko Riswanto
STIMIK El-Rahma Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering

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Peningkatan dan Pengembangan Daya Saing bagi Umkm Kripik Salak di Kabupaten Sleman Dian Retnaningdyah; Reto Ika Sundari; Eko Riswanto; Paryanto Paryanto
Telaah Bisnis Vol 15, No 1 (2014): Juli 2014
Publisher : Sekolah Tinggi Ilmu Manajemen YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.965 KB) | DOI: 10.35917/tb.v15i1.9

Abstract

Abstract Today Improving and developing competitiveness for Micro, Small and Medium Enterprises (SMEs) become very important for the development of Indonesian economy. SMEs play an important role in supporting the development of regional economy, which will ultimately have an impact on the national economy.          SMEs in Sleman district engaged in the processing zalacca chips, its existence gives a positive value in the economy. Support and attention from stakeholders are very necessary for the sustainability of its business. This programs try to provide an explanation of the importance of the role of human resource innovation capability and technological strategies such as information technology and appropriate technology to support the development and improvement of the competitiveness of SMEs, especially  for businessmen of zalacca chips in  order to be able to play in the global markets.
Pengelompokkan Jumlah Kunjungan Mahasiswa ke Perpustakaan Kampus Menggunakan Algoritma DBSCAN Andri Syafrianto; Eko Riswanto
G-Tech: Jurnal Teknologi Terapan Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.752 KB) | DOI: 10.33379/gtech.v7i1.1925

Abstract

Perpustakaan STMIK EL Rahma Yogyakarta merupakan salah satu fasilitas penunjang akademik bagi mahasiswa untuk mendukung kegiatan KBM yang dilakukan. Adanya korelasi yang positif antara jumlah kunjungan mahasiswa ke perpustakaan terhadap peningkatan kinerja mahasiswa yang menjadikan perpustakaan sebagai sumber belajar menjadi salah satu alasan peneliti melakukan penelitian ini. Berdasarkan hal tersebut pada penelitian ini akan mencoba mengelompokkan mahasiswa STMIK EL Rahma Yogyakarta berdasarkan IPK dan jumlah kunjungan ke perpustakaan dengan algoritma DBSCAN. Adapun manfaat dari penelitian ini yaitu memberikan gambaran mengenai minat baca mahasiswa terhadap perpustakaan kampus. Berdasarkan hasil analisa terhadap 75 mahasiswa dengan nilai epsilon 0,4 dan MinPts 2 maka metode DBSCAN mampu membentuk cluster sebanyak 7 dengan 5 data noise.
Pemodelan Peramalan Jumlah Pernikahan Menggunakan ARIMA Berbasis Data Historis pada KUA Galur Eko Riswanto; Hasan Ibrahim
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.245

Abstract

The Galur Office of Religious Affairs (KUA) routinely records marriage data but has not optimally utilized it for operational planning. The absence of predictive analysis complicates the allocation of marriage registrars and administrative resources, particularly during fluctuations in marriage applications. This study aims to develop a forecasting model for monthly marriages using the Autoregressive Integrated Moving Average (ARIMA) method to support data-driven decision-making. Historical data covering 120 months (January 2016–December 2025) were divided into 80% training and 20% testing data. The Augmented Dickey-Fuller (ADF) test indicated stationarity at level; therefore, first-order differencing was not required but was retained as a candidate specification. Based on residual diagnostics and the lowest AIC/BIC values, ARIMA(0,1,1) was selected as the best model. Testing produced a Mean Absolute Error (MAE) of 6.84 and a Root Mean Squared Error (RMSE) of 8.37. The final model forecasts a constant 13 marriages per month throughout 2026. Although its point-forecast accuracy did not consistently outperform a simple baseline, ARIMA provides a statistical inference framework that can support proactive staffing and administrative resource planning at KUA Galur.
Co-Authors Andri Syafrianto Dian Retnaningdyah Hasan Ibrahim Paryanto Paryanto Reto Ika Sundari