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Raden Herdian Bayu Ash Siddiq
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jitter@widyatama.ac.id
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JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Published by Universitas Widyatama
ISSN : 26860333     EISSN : 24073911     DOI : https://doi.org/10.33197/jitter.vol4.iss3.2018.16
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Ilmiah Teknologi Informasi Terapan (JITTER) adalah jurnal ilmiah yang diterbitkan oleh Universitas Widyatama, Bandung. Jurnal ini diterbitkan sebagai wahana sosialisasi dan diseminasi hasil penelitian bagi kalangan akademisi maupun masyarakat luas, pada bidang teknologi informasi dan terapannya. Bidang kajian dicakup meliputi sistem informasi, ilmu komputer, jaringan komputer, basis data, kecerdasan buatan, juga beberapa bidang teknik lainnya seperti Teknik Sipil, Teknik Mesin, Teknik Elektro dan Teknik Industri.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol. 12 No. 1 (2025)" : 7 Documents clear
ANALISIS PENGUKURAN TINGKAT FATIGUE PADA PEKERJA TOWER CRANE (STUDI KASUS : PROYEK BDX DATA CENTER CGK3A Kartika Hapsari; Kristin Febriyanti Zebua; Jonathan Saputra
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.2813

Abstract

Fatigue is one of the main factors that can reduce performance and increase the risk of workplace accidents, especially for tower crane operators who are responsible for operating heavy equipment in construction environments. This study aims to compare the effectiveness of fatigue measurement using a mobile application versus a manual-based approach. It also aims to determine whether the features provided in the mobile application meet the needs of workers. The methods used include field observation, questionnaire distribution, interviews, and effectiveness testing through field studies involving tower crane operators at a construction project. The results of the study show that the use of mobile applications is more effective in measuring fatigue and more efficient in monitoring fatigue compared to manual measurements. It also enables early detection of potentially hazardous fatigue. Therefore, the mobile application can serve as an innovative solution to support occupational safety and risk management in the construction industry. However, additional features are needed in the application to measure fatigue factors such as travel condition and work environment condition.
ANALISIS KOEFISIEN PRODUKTIVITAS TUKANG KAYU PADA PEKERJAAN BEKISTING BALOK ANAK PROYEK PEMBANGUNAN GUDANG Kartika Hapsari; Naurah Nabihah
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.2996

Abstract

Labor productivity is the ability of construction workers to complete their main tasks and functions according to their respective fields. Many factors influence labor productivity, including time and work methods. This study aims to compare the actual productivity coefficient of carpenters with the Permen PUPR standards for formwork beam tasks in the Cakung Modern Logistic Warehouse project and identify the main factors affecting labor productivity in these tasks. The data collection methods used in this study are work sampling for productivity coefficient through field observation and questionnaires to determine the factors most affecting the productivity of carpenters in formwork beam tasks. The questionnaires data were then processed using IBM SPSS. The result of study show that the comparison of the actual coefficient with the Permen PUPR is 0,314610 for forwork scaffolding, 0,110432 for formwork fabrications, 0,006074 for formwork installation, and 1,636526 for formwork dismantling. The three main factors affecting the productivity of carpenters in forwok beam tasks are rainfall, work methods, and design complexity
Model DeLone dan McLean tentang Kepuasan Pengguna Sistem Informasi Rumah Sakit teguh pribadi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3162

Abstract

Tujuan penelitian ini adalah menganalisis persepsi pemanfaatan sistem informasi rumah sakit di RS Hasansadikin Bandung dengan menggunakan Model DeLone dan McLean. Sampel dalam penelitian ini adalah tenaga medis dan staf rumah sakit dengan menggunakan teknik purposive sampling dan pengumpulan data melalui kuesioner. Data yang digunakan dalam penelitian ini adalah data panel cross-sectional, dengan variabel kualitas sistem, kualitas pelayanan, dan kepuasan pengguna yang terdapat dalam model DeLone dan McLean. Metode campuran yang digunakan merupakan modifikasi dari kedua model tersebut. Hasil penelitian menunjukkan adanya pengaruh positif yang signifikan antara kualitas sistem dan kualitas pelayanan terhadap kepuasan pengguna. Selain itu, ditemukan analisis yang mengindikasikan perlunya pengembangan sistem informasi rumah sakit yang ada saat ini, yang dapat dianalisis menggunakan FAST (Framework for the Application of System Thinking) yang dilakukan melalui empat tahap yaitu pendefinisian ruang lingkup, analisis masalah, analisis kebutuhan, dan perancangan logis.
EVALUASI EKONOMIS PENGGANTIAN MESIN INDUSTRI DENGAN DYNAMIC PROGRAMMING: APLIKASI PADA CV CTR: ECONOMIC EVALUATION OF INDUSTRIAL MACHINE REPLACEMENT WITH DYNAMIC PROGRAMMING: APPLICATION TO CV CTR Fadly Rizky Dermawan; Dony Sastra Danuatmaja; Oktavian Endiyansyah; Febe Seren; Didit Damur Rochman
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3248

Abstract

Spinning machines play a crucial role in the production process. However, over time, increasing machine age and usage frequency lead to a decline in operational efficiency and a rise in operating costs. To optimize asset management, this study performs calculations by considering machine age, maintenance costs, salvage value, and annual operational revenue. This research aims to formulate an optimal replacement strategy for spinning machines at CV CTR using the Dynamic Programming approach. Data were collected through structured interviews and an internal document review, covering both technical and financial information. Calculations were carried out using a backward recursion method over a six-year planning horizon to evaluate various decision scenarios, including whether to retain or replace the machine. The results show that the best strategy involves replacing the machine in the first year, retaining it in the second year, replacing it again in the third year, and retaining it through the beginning of the sixth year. This strategy yields a maximum net income of Rp203,170,000 per year and is considered the most efficient compared to other alternatives. The study concludes that Dynamic Programming is effective in formulating data-driven and measurable machine replacement policies that support long-term operational cost efficiency.
PENGUKURAN USABILITY APLIKASI CANVA MENGGUNAKAN SUS (SYSTEM USABILITY SCALE) DAN PENGUJIAN BLACKBOX Yosua Alexandro; Jadiaman Parhusip
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3250

Abstract

This study aims to assess the usability level of the Canva application using the System Usability Scale (SUS) method and to evaluate the reliability of its core functionalities through black-box testing. As a widely used web-based graphic design platform catering to students, educators, and creative professionals, Canva requires a high level of usability to ensure that users can work efficiently and comfortably. This research employed a descriptive quantitative approach and involved 30 active Canva users as respondents. The research instruments consisted of a SUS questionnaire containing ten statements that measure user perceptions of ease of use, efficiency, and comfort, as well as a black-box testing checklist designed to verify whether Canva’s main features functioned according to the expected system behavior. The SUS results indicate an average score of 72.42, categorized as “Good,” signifying that Canva is generally easy to use and acceptable to the majority of users. Meanwhile, the black-box testing, which comprised 16 test scenarios across essential Canva features, achieved a success rate of 93.75%, with one failure involving a slight delay in the drag-and-drop feature. The integration of both analyses reveals that the positive user perceptions are supported by stable and reliable system performance. This study thus provides a comprehensive overview of Canva’s user experience quality and feature reliability, offering valuable insights for developers and researchers conducting further evaluations on web-based design applications.
KLASIFIKASI MALWARE BERBASIS GAMBAR DENGAN COMPACT CONVOLUTIONAL TRANSFORMER Mochamad Adamrasyad Iqbal; Viddi Mardiansyah
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3286

Abstract

The large amount of Internet traffic infected with malware disrupts Internet activity. Undetected malwares can shutdown systems and leak sensitive data. To mitigate such threats, a reliable classification model is required. The Compact Convolutional Transformer (CCT) is a deep learning architecture that combines encoder layers from the Vision Transformer with traditional convolutional layers, and is designed to perform classification effectively even with relatively small datasets. However, when tested using a combination of the MalImg dataset and benign class from DikeDataset, the original CCT model showed signs of overfitting. To address this, this study proposes a modification to the CCT architecture by incorporating an average pooling mechanism parallel to the existing sequence pooling layer. The outputs of both pooling layers are concatenated before being passed to the classification layer. Experiments were conducted under several conditions, including full training without early stopping. The results show that the modified CCT with average pooling reduces overfitting and improves accuracy, indicated by a longer training duration before convergence (8+ epochs), an increase in test accuracy by 3.35 with early stopping and by 5.72% without early stopping. Furthermore, this performance improvement was statistically validated using Welch’s t-test on evaluation accuracy with p value 5.83×10⁻⁶ and average validation loss with p value 7.54×10⁻⁷, both yielding significant results (p < 0.05). However, after stratification and class weighted is applied, the evaluation accuracy of modified CCT decrease by 1.74% from the baseline and the validation loss increasing significantly with p-value 0.0009 (p < 0.05), showing that the result is sensitive to the dataset balance.
Daftar Isi, Halaman Dewan Redaksi dan Halaman Pengantar Raden Herdian Bayu Siddiq
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Daftar Isi, Halaman Dewan Redaksi dan Halaman Pengantar

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