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Design of a Web-Based Regional Tax Document Archiving Information System
Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
; Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
Manajemen arsip dokumen pajak daerah memegang peranan penting dalam mendukung administrasi dan pelayanan publik di Badan Pendapatan Daerah (Bapenda). Sistem pengarsipan manual yang masih digunakan menimbulkan berbagai permasalahan, seperti risiko kehilangan dokumen, kerusakan arsip fisik, serta keterlambatan dalam proses pencarian. Penelitian ini bertujuan untuk merancang sistem informasi arsip dokumen pajak daerah berbasis web pada Bapenda Kabupaten Karimun. Pendekatan kualitatif dengan metode...
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Sistem Informasi Tes Psikologis Berbasis Web (E-Psychotes) untuk Seleksi Calon Anggota Kepolisian Nasional Indonesia (Studi Kasus: Kepolisian Daerah Jawa Tengah)
Subekti, Syawaludin
; Hartono, Budi
; Santoso, Lukman
; Subekti, Syawaludin
; Hartono, Budi
; Santoso, Lukman
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 16
, No 2
(2026)
Tes psikologis yang handal dan objektif sangat penting dalam perekrutan anggota Kepolisian Nasional Indonesia untuk memastikan seleksi kandidat yang berkualitas. Namun, metode pengujian psikologis konvensional seringkali memakan waktu, rentan terhadap kesalahan manusia, dan kurang transparan dalam pengolahan data dan manajemen hasil. Studi ini bertujuan untuk merancang dan mengimplementasikan Sistem Informasi Pengujian Psikologis Berbasis Web (E-Psikotes) untuk mendukung proses seleksi psikologi...
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Development and Performance Evaluation of a Micro-Scale RDF Briquette–Fueled Steam Power Prototype
Syarifah
; Latricia Aina Hidayat
; Rini Yunita Sari
; Maratis, Jerry
; Andri Krisna Hidayat
; Pawenary
; Hendri
Plastic waste is a major environmental problem in Indonesia due to its non-biodegradable nature. One innovative solution is converting waste into energy using Refuse-Derived Fuel (RDF) briquettes for small-scale power generation. This research designed and tested an RDF-based micro power plant prototype using briquettes composed of 80% dry organic biomass and 20% plastic for safe and stable combustion. The prototype consists of a combustion chamber, heat exchanger, impulse-type micro steam turbi...
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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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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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A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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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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