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Impression : Jurnal Teknologi dan Informasi
Published by Lembaga Riset Ilmiah
ISSN : -     EISSN : 29637333     DOI : https://doi.org/10.59086/jti
Impression accepts articles in the fields of Electrical Engineering, Mechanical Engineering, Civil Engineering, Marine Technology Industrial Engineering, Marine Fisheries Technology, Agricultural Technology, Informatics Engineering, Information Systems, Computer, Expert systems, Decision Support Systems, Artificial Intelligence systems, Data Mining, Image processing, Genetic Algorithms, Designing Information Systems, Business Intelligence, Internet of Thing Database System, Big Data, Internet of Thing.
Articles 154 Documents
Inovasi Campuran AC-WC Berbasis Surfaktan Aspal Hangat Sebagai Modifikasi Asbuton Rendah Emisi Fitra Ramdhani; Kinanti Indah Safitri; Ahmad Kurnain
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 1 (2026): Maret 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i1.1934

Abstract

Kebutuhan infrastruktur jalan berkelanjutan menuntut inovasi campuran aspal kuat secara struktural namun rendah emisi. Asbuton berpotensi menjadi substitusi aspal minyak ramah lingkungan, namun rentan stripping sehingga memerlukan aditif adhesi. Belum ada penelitian yang mengombinasikan Asbuton B5/20 dengan Evotherm pada campuran AC-WC, menjadikan kombinasi ini kebaruan utama penelitian. Evotherm dipilih karena mekanisme surfaktannya menurunkan tegangan permukaan aspal sehingga memperbaiki pembasahan aspal-agregat pada suhu lebih rendah tanpa pra-pengolahan kompleks. Metode Penelitian eksperimental laboratorium mengacu SNI 06-2489-1991 dan Spesifikasi Umum Bina Marga 2018 Revisi 2, menguji agregat, aspal, ekstraksi Asbuton, dan Marshall (Stabilitas, Flow, MQ, VIM, VMA, VFA) secara deskriptif-komparatif terhadap spesifikasi Bina Marga. Hasil penelitian paling signifikan: Stabilitas (1294,6-1531,2 kg) dan VFA (73,2-82,9%) memenuhi spesifikasi pada seluruh variasi Asbuton, namun Flow melampaui batas atas pada kadar 5% ke atas. Penelitian ini berkontribusi memberikan bukti awal kelayakan teknis kombinasi Asbuton-Evotherm sebagai basis formulasi aspal rendah emisi, dengan optimasi kadar Asbuton diperlukan agar Flow memenuhi spesifikasi. Sustainable road infrastructure requires asphalt mixtures that are structurally strong yet low-emission. Asbuton is a promising eco-friendly substitute for petroleum asphalt, but its susceptibility to stripping necessitates an additive to improve adhesion. To date, no study has combined B5/20 granular Asbuton with Evotherm in an AC-WC mixture, making this combination the primary novelty of the present research. Evotherm was selected because its surfactant mechanism lowers asphalt surface tension, thereby improving asphalt-aggregate wetting at lower temperatures without requiring complex pre-processing. The laboratory-experimental method followed SNI 06-2489-1991 and Bina Marga's 2018 General Specifications (Revision 2), examining aggregate and asphalt properties, Asbuton extraction, and Marshall parameters (Stability, Flow, MQ, VIM, VMA, VFA) descriptively and comparatively against the specification limits. The most significant findings show that Stability (1294.6-1531.2 kg) and VFA (73.2-82.9%) met specifications across all Asbuton variations, whereas Flow exceeded the upper limit at Asbuton contents of 5% and above. This study contributes preliminary evidence of the technical feasibility of the Asbuton-Evotherm combination as a basis for low-emission asphalt formulations, with further optimization of Asbuton content required to bring Flow values within specification.
Analisis Kinerja Implementasi Algoritma Broyden pada Skema Implisit Persamaan Diferensial Biasa Sistem Stiff Hery Andi Sitompul; Asmina Herawaty Sinaga; Dewi Sholeha; Alimin Purba
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 2 (2026): Juli 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i2.2034

Abstract

Penyelesaian sistem persamaan diferensial biasa (ODE) yang kaku umumnya dilakukan secara numerik menggunakan skema implisit. Namun, pendekatan ini membutuhkan komputasi yang kompleks dan memakan waktu karena perlunya penyelesaian sistem persamaan non-linear pada setiap diskretisasi domain solusi. Metode Newton-Raphson adalah pilihan yang paling populer karena konvergensi dan stabilitasnya; meskipun demikian, metode ini membutuhkan komputasi matriks Jacobian dan inversnya pada setiap langkah waktu, yang menimbulkan hambatan signifikan terhadap efisiensi waktu. Studi ini bertujuan untuk menganalisis kinerja implementasi algoritma Broyden, yang secara efisien memperbarui matriks Jacobian dalam skema implisit untuk sistem ODE yang kaku. Kinerja algoritma dievaluasi berdasarkan tiga indikator utama: akurasi konvergensi, kecepatan komputasi (waktu CPU), dan jumlah iterasi. Pengujian dilakukan menggunakan beberapa kasus uji sistem kaku standar dengan variasi ukuran langkah (h) dan rasio kekakuan. Hasil simulasi menunjukkan bahwa algoritma Broyden berhasil meningkatkan kinerja skema implisit dengan stabilitas dan akurasi yang sangat baik. Oleh karena itu, implementasi algoritma Broyden dalam skema implisit terbukti menjadi alternatif yang efektif dan efisien untuk menyelesaikan sistem ODE kaku berskala besar. Solving stiff systems of ordinary differential equations (ODEs) is generally performed numerically using implicit schemes. However, this approach requires complex and time-consuming computation due to the necessity of solving a system of non-linear equations at each discretization of the solution domain. The Newton-Raphson method is the most popular choice owing to its convergence and stability; nonetheless, it requires computing the Jacobian matrix and its inverse at every time step, which poses a significant bottleneck to time efficiency. This study aims to analyze the performance of the Broyden algorithm implementation, which efficiently updates the Jacobian matrix within the implicit scheme for stiff ODE systems. The algorithm's performance was evaluated based on three key indicators: convergence accuracy, computational speed (CPU time), and the number of iterations. Testing was conducted using several standard stiff system test cases with variations in step size () and stiffness ratios. The simulation results demonstrate that the Broyden algorithm successfully enhances the performance of the implicit scheme with excellent stability and accuracy. Consequently, the implementation of the Broyden algorithm in implicit schemes proves to be an effective and efficient alternative for solving large-scale stiff ODE systems.
Rekayasa Algoritma Berbasis Explainable AI (XAI) dalam Sistem Pendukung Keputusan Publik Baiq Tabina Aadila Budiawan; Wenty Zahraty
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 2 (2026): Juli 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i2.1497

Abstract

Transformasi digital di sektor publik masih menghadapi fenomena black-box, yaitu keputusan administratif berbasis kecerdasan buatan (AI) yang sulit dijelaskan dan diaudit sehingga berpotensi menimbulkan bias serta ketidakadilan, termasuk dalam penyaluran bantuan sosial (DTKS). Penelitian ini bertujuan merekayasa model sistem pendukung keputusan publik menggunakan pendekatan Explainable AI (XAI) melalui metode LIME dan SHAP. Dengan metodologi Design Science Research (DSR), penelitian menghasilkan artefak yang mampu mengubah data teknis menjadi justifikasi yang transparan dan mudah dipahami. Kebaruan penelitian terletak pada integrasi lapisan interpretabilitas berbasis LIME dan SHAP sebagai instrumen meaningful human control untuk mewujudkan akuntabilitas parametrik yang dapat diaudit secara real-time. Hasil penelitian menunjukkan bahwa implementasi XAI mampu meminimalkan ruang gelap diskresi birokrasi, mengurangi potensi manipulasi data, serta memperkuat akuntabilitas hukum. Selain meningkatkan efisiensi birokrasi, model ini mendukung penerapan prinsip Digital Good Governance. Penelitian menyimpulkan bahwa transparansi algoritmik merupakan pilar penting keadilan birokrasi dan merekomendasikan audit algoritma berbasis XAI pada sistem pelayanan publik.   Digital transformation in the public sector is often constrained by the "black-box" phenomenon, where artificial intelligence (AI) makes administrative decisions without transparent explanations, creating risks of bias and social inequality, particularly in the distribution of social assistance (DTKS). This study aims to develop a public decision support system using Explainable Artificial Intelligence (XAI) through the Local Interpretable Model-agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) methods. Employing the Design Science Research (DSR) methodology, the study produces a technological artifact that transforms complex technical data into transparent and understandable justifications. The novelty of this research lies in integrating an explainability layer based on LIME and SHAP as an instrument of meaningful human control to enable real-time, auditable parametric accountability. The findings demonstrate that XAI effectively reduces opaque bureaucratic discretion, minimizes opportunities for data manipulation, and strengthens legal accountability. Beyond improving bureaucratic efficiency, the proposed model supports the implementation of Digital Good Governance. The study concludes that algorithmic transparency is a fundamental pillar of bureaucratic justice and recommends mandatory XAI-based algorithm audits for public service systems.  
Penerapan Sistem Manajemen Keselamatan Konstruksi Pada Pekerjaan Pembangunan Medan Islamic Center Muhammad Yusuf Parlagutan Lubis; Mei Brilian Harefa; Fithriyah Patriotika
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 2 (2026): Juli 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i2.1999

Abstract

Keselamatan dan kesehatan kerja (K3) merupakan aspek penting dalam proyek konstruksi untuk meminimalkan risiko kecelakaan dan menjamin kelancaran pelaksanaan pekerjaan. Penelitian ini bertujuan menganalisis implementasi Sistem Manajemen Keselamatan Konstruksi (SMKK) berdasarkan Peraturan Menteri PUPR Nomor 10 Tahun 2021 pada proyek pembangunan Medan Islamic Center. Penelitian menggunakan pendekatan deskriptif kualitatif melalui studi lapangan dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Analisis data dilakukan menggunakan model interaktif Miles dan Huberman. Hasil penelitian menunjukkan bahwa implementasi SMKK telah dilakukan melalui identifikasi bahaya, penilaian risiko, pelatihan keselamatan, penggunaan alat pelindung diri (APD), serta penyusunan prosedur tanggap darurat. Penerapan tersebut mampu meningkatkan kesadaran keselamatan dan menekan potensi kecelakaan kerja. Namun, masih ditemukan kendala berupa rendahnya kepatuhan sebagian pekerja dan keterbatasan pengawasan. Penelitian ini memberikan implikasi praktis sebagai bahan evaluasi untuk meningkatkan efektivitas penerapan SMKK pada proyek konstruksi berskala besar.   Occupational Safety and Health (OSH) is a crucial aspect of construction projects to minimize accident risks and ensure the smooth execution of project activities. This study aims to analyze the implementation of the Construction Safety Management System (CSMS) based on the Regulation of the Minister of Public Works and Housing (PUPR) Number 10 of 2021 in the Medan Islamic Center construction project. The study employed a descriptive qualitative approach through field research, with data collected through observation, interviews, and documentation. Data were analyzed using the interactive model of Miles and Huberman. The findings indicate that the implementation of CSMS has been carried out through hazard identification, risk assessment, safety training, the use of personal protective equipment (PPE), and the establishment of emergency response procedures. These measures have contributed to increasing workers' safety awareness and reducing the potential for workplace accidents. However, several challenges remain, including low compliance among some workers and limited supervision. This study provides practical implications as an evaluation framework for improving the effectiveness of CSMS implementation in large-scale construction projects.