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Implementation of a Decision Support System to Improve the Objectivity of Selecting High-Aching Students Using the SAW Method at SMAS PGRI Kurnia
Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
; Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
Pemilihan siswa berprestasi di sekolah seringkali dilakukan secara manual dan berpotensi menimbulkan subjektivitas dalam pengambilan keputusan. Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) guna meningkatkan objektivitas, transparansi, dan efisiensi dalam proses seleksi siswa berprestasi. Penelitian dilakukan pada satu sekolah dengan melibatkan 20 alternatif siswa dan empat kriteria penilaian yang telah ditentukan bo...
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Optimizing the Accuracy of Financial Reporting of Retail MSMEs Through the Development of a Web-Based Inventory Accounting Information System: A Case Study of Toserba Indah Kendal
Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
; Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
Perkembangan teknologi informasi telah mendorong transformasi digital pada berbagai sektor usaha, termasuk usaha mikro dan menengah. Pengelolaan persediaan barang yang tidak didukung sistem informasi yang baik berpotensi menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data yang berdampak pada pengambilan keputusan manajerial. Toserba Indah Kendal sebagai usaha dagang masih menerapkan pencatatan persediaan dan laporan keuangan secara manual menggunakan buku tulis,...
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Pelatihan Koding dan Kecerdasan Artifisial bagi Guru SD di Sukoharjo sebagai Upaya Peningkatan Literasi Digital di Era Society 5.0
Buletin KKN Pendidikan
Vol 8
, No 1
(2026)
Era Society 5.0 menuntut penguatan literasi digital dan computational thinking sejak pendidikan dasar, namun kesenjangan kompetensi guru di daerah pedesaan masih menjadi tantangan utama dalam implementasinya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas guru sekolah dasar dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran sebagai upaya mendukung peningkatan literasi digital siswa. Kegiatan dilaksanakan di SDN 03 Mulur, Sukoharjo...
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Immersive Commerce: Implementasi Augmented Reality untuk Meningkatkan Kepercayaan Konsumen dalam Transaksi E-Commerce
DHARMA EKONOMI
(2026)
This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is...
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Ekosistem Bisnis Digital: Analisis Faktor Kesuksesan UMKM Generasi Z di Indonesia
DHARMA EKONOMI
(2026)
Digital transformation has reshaped the landscape of MSMEs in Indonesia, particularly those managed by Generation Z. This study aims to analyze key success factors of Generation Z MSMEs in building sustainable digital business ecosystems. The research employs a systematic literature review methodology by analyzing various academic sources, industry reports, and related publications from 2019-2024. Findings reveal five primary success factors: adaptive digital technology adoption, high digital li...
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Jurnal Sistem Informasi Pengelolaan Inventaris Perangkat Layanan Call Center Berbasis Web pada PT. Mitracomm Ekasarana
Perkembangan teknologi informasi mendorong perusahaan untuk memanfaatkan sistem informasi terkomputerisasi guna meningkatkan efisiensi dan efektivitas operasional. Salah satu permasalahan yang masih sering dihadapi adalah pengelolaan data inventaris yang belum terintegrasi, sehingga menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data dengan kondisi aktual. PT. Mitracomm Ekasarana, khususnya unit Mitracomm Ekasarana Business Process Services (MBPS), masih menggun...
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Data-Driven Techno-Behavioral Segmentation of Post-Pandemic Tourists Using TwoStep Cluster Analysis
Post-pandemic tourism is characterized by increasing behavioral heterogeneity as digital technologies reshape travel planning and mobility practices, challenging traditional demographic-based segmentation. This study develops a techno-behavioral, data-driven segmentation framework within the Smart Tourism Ecosystem perspective by conceptualizing digital adoption as a mediating mechanism between socio-demographic attributes and travel behavior. Using survey data from 805 domestic tourists in Yogy...
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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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Behavioral Malware Detection via API Call Sequences: A Comparative Study of LSTM and Transformer Architectures Using NLP-Inspired Representations
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experim...
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Digital Transformation as a Reinforcement of Competitive Advantage and Resilience of Highland Tourism Villages in Central Java
This study aims to analyze the role of digital transformation in strengthening competitive advantage and resilience of highland tourism villages in Central Java. Highland tourism villages face increasing competition, environmental vulnerability, and market uncertainty, requiring adaptive and innovation-driven strategies. Digital transformation is considered a strategic instrument to enhance destination competitiveness, expand market access, and improve institutional resilience. This research emp...
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