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All Journal CESS (Journal of Computer Engineering, System and Science) INTECOMS: Journal of Information Technology and Computer Science KACANEGARA Jurnal Pengabdian pada Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis International Journal of Engineering, Technology and Natural Sciences (IJETS) Journal of Computer System and Informatics (JoSYC) Advance Sustainable Science, Engineering and Technology (ASSET) Decode: Jurnal Pendidikan Teknologi Informasi Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Scientific Research, Education, and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Joko Aryanto
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Transformasi Digital Manajemen Stok UMKM Melalui Implementasi Sistem E-Inventory Mobile Real-Time: Digital Transformation of MSME Stock Management Through the Implementation of a Real-Time Mobile E-Inventory System Ghiffari, Sultan Akmal; Aryanto, Joko
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2334

Abstract

Pengelolaan stok barang merupakan aspek penting dalam menjaga keberlangsungan Usaha Mikro, Kecil, dan Menengah (UMKM). Namun, banyak UMKM masih bergantung pada pencatatan konvensional yang rentan terhadap kesalahan dan keterlambatan, sehingga menurunkan efisiensi serta akurasi data. Penelitian ini bertujuan untuk menerapkan sistem e-inventory berbasis mobile real-time sebagai upaya digitalisasi proses manajemen stok pada UMKM. Penelitian ini menggunakan pendekatan pengembangan yang melibatkan tahap analisis, perancangan, implementasi, dan pengujian. Hasil pengujian fungsional menggunakan Black Box Testing menunjukkan bahwa seluruh fitur inti, mulai dari manajemen data, transaksi, hingga laporan statistik, berjalan valid dan sesuai spesifikasi. Selanjutnya, pengujian User Acceptance Test (UAT) oleh pengguna akhir (Pemilik UMKM) menghasilkan tingkat penerimaan 97,5% (skor rata-rata 4,88), yang mengonfirmasi sistem sangat mudah digunakan dan memenuhi kebutuhan operasional. Implementasi sistem e-inventory ini memperkuat transformasi digital pada sektor UMKM, meningkatkan efektivitas operasional, serta mendukung pengambilan keputusan yang lebih baik melalui data yang terstruktur dan real-time.
Analyzing Cognitive Determinants of Internet Outcome Diversity using SEM and K-Means Clustering Denandro, Nathanael; Aryanto, Joko
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3815

Abstract

While the digital divide has traditionally been examined through socioeconomic and infrastructural lenses, this study explicitly prioritizes the causal role of cognitive intelligence (IQ) as a primary determinant of third-level digital inequality, focusing on how individuals convert access into diverse internet outcomes. Using a quantitative cross-sectional design with 132 respondents in Indonesia, the analysis applies Covariance-Based Structural Equation Modeling (CB-SEM) as the principal analytical approach to estimate direct and mediated relationships among cognitive intelligence, material access, digital skills, and outcome diversity, complemented by K-Means clustering to reveal heterogeneity in user profiles rather than to construct a predictive model. The SEM results indicate that IQ significantly influences digital skills (β = 0.47, p < 0.01) and indirectly affects outcome diversity (β = 0.38, p < 0.01), while digital skills emerge as the strongest predictor of outcome diversity (β = 0.63, p < 0.01), confirming their central mediating role. These findings operationalize the integration of cognitive capacity into third-level digital divide models by demonstrating that internal cognitive resources systematically condition the conversion of access into outcomes, extending beyond conventional resource-based explanations. The clustering analysis identifies four distinct user segments, including a Resource-Limited Active group that achieves high proficiency despite constrained socioeconomic resources, indicating alternative learning pathways. The combined analytical strategy provides complementary insights by linking structural causality with user heterogeneity, which cannot be captured by single-method approaches. These results suggest that effective digital inclusion policies must incorporate cognitively adaptive strategies alongside infrastructure development
Co-Authors AGUS PURWANTO Agus Sujarwadi Alvi Rosyidi Alvi Rosyidi Amirudin, Nur Said Ariyo Aziz Pratama Asriningtyas, Yuli Bima Pratama Denandro, Nathanael Dewantara, Airlangga Satria El Hakim, Elang Bayu Fahrani, Fadmi Ghiffari, Sultan Akmal Hariadi, Dodi Harlita Harlita Harlita Harlita Heru Nurcahyo Heru Nurcahyo Irawan, Rendi Maridi Maridi Maridi Maridi Maulana, Galih Arya Meti Indrowati Muhammad Reza Raehan Muzayyinah Muzayyinah Muzayyinah Muzayyinah Permatasari, Putri Wahyu Ramadhani, Muhammad Al-Fajr Rosalia, Farah Rumbekwan, Julio Ignasius Wangjaya Sarifudin, Riyan Septianto, Naafi Setyawati Handayani Simbulan, Roselilie Sri Dwiastuti Tri Untoro, Iwan Hartadi Tuti Rahayu Wahyu, Nurdi Dwi Yuli Asriningtias, Yuli