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Macroeconomic Determinants of Investment Credit in Indonesia: Evidence from the ARDL Bounds Testing Approach Nur Atikah; Nadia Kholifia; Lucky Tri Oktoviana; Muhammad Ilham Arif; Muhammad Nizar Hidayatullah; Vagustin Faharani; Mareta Putri Manunggal
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 2 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i2.42713

Abstract

Investment credit plays an important role in financing productive activities and sustaining Indonesia's economic development. Nevertheless, limited empirical evidence is available regarding how fluctuations in gold prices together with other macroeconomic indicators influence investment credit during the post-pandemic period. This study investigates the effects of gold prices, the USD/IDR exchange rate, the Industrial Production Index (IPI), the BI 7-Day Reverse Repo Rate, and inflation on investment credit using monthly observations from June 2016 to December 2024. An Autoregressive Distributed Lag (ARDL) model combined with an Error Correction Model (ECM) is employed to evaluate both long-run associations and short-run adjustments. The empirical findings reveal that the variables are cointegrated, implying the existence of a stable long-term equilibrium. However, none of the estimated long-run coefficients is statistically distinguishable from zero at conventional significance levels. In the short run, exchange rate movements generate the largest response in investment credit, whereas industrial production and the policy interest rate produce relatively modest effects. The error-correction coefficient is negative and statistically significant, indicating that temporary departures from equilibrium are gradually eliminated over time. These findings suggest that investment credit in Indonesia is driven primarily by short-term macroeconomic adjustments rather than persistent long-run effects of individual macroeconomic variables.
Perancangan Sistem Informasi Penjualan dan Manajemen Stok Pada Toko Tingwe Tembakau Menggunakan Metode Agile Modeling Ananda Sabitha Khairani Putri; Muhammad Aflah Masdarul Makarim; Muhammad Ilham Arif; Mohamad Yasin
Jurnal Janitra Informatika dan Sistem Informasi Vol. 6 No. 2 (2026): Oktober - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/sn0bq245

Abstract

Perkembangan teknologi informasi mendorong sektor UMKM beralih dari sistem manual menuju sistem digital. Toko Tingwe Tembakau saat ini masih mengandalkan pencatatan manual dalam operasional penjualan dan manajemen persediaan, yang rentan terhadap kesalahan, kehilangan data stok, dan keterlambatan evaluasi keuangan. Penelitian ini bertujuan merancang dan mengimplementasikan Sistem Informasi Penjualan dan Manajemen Stok berbasis web menggunakan metode Agile Modeling. Pendekatan iteratif ini berpusat pada pengguna untuk menghasilkan sistem yang fungsional dan adaptif. Sistem dibangun dengan framework Laravel 12 dan MySQL, serta mengintegrasikan fitur inovatif berupa perhitungan Zakat Mal harian berdasarkan keuntungan usaha. Pengujian sistem meliputi White Box Testing menggunakan SonarQube, Black Box Testing, dan Usability Testing dengan kuesioner System Usability Scale (SUS). Hasil pengujian menunjukkan kualitas kode sangat baik dengan predikat A pada aspek keamanan dan keterawatan, tingkat keberhasilan fungsionalitas mencapai 100% dari 86 test case, dan tingkat kemudahan penggunaan memperoleh skor rata-rata 72,67 (kategori Good). Sistem ini berhasil mendigitalisasi operasional toko secara efisien dan akurat, serta memberikan nilai tambah melalui penggabungan operasional komersial dengan aspek sosial-religius.