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Raden Herdian Bayu Ash Siddiq
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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 377 Documents
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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.
METODA PENJADWALAN DAN PERAMALAN UNTUK PRODUKSI PADA USAHA HOME INDUSTRI Miftahu Babil Yasari Babil; Jatmiko Agung Nugroho; BY. Rahadi Meta Tri Sulaksana
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3276

Abstract

The need for additional food (snacks) determines a person's choice of consumption. Cassava chips are a snack that contains a source of energy from complex carbohydrates, fiber for digestion, and antioxidants such as vitamin C and beta-carotene that protect the body. A home industry makes cassava chips using a simple method, namely only washing, slicing, frying, slicing, and wrapping without using production scheduling and forecasting methods. This results in inconsistent production quantities. This condition also creates excess and shortages in production results that impact on not meeting consumer desires. This study aims to provide input to home businesses by using sequencing methods, namely short processing time (SPT) for scheduling and moving averages for production forecasting, to obtain scheduling and forecasting results that will serve as references in the cassava chip manufacturing process. From the data owned by this home industry, both quantitative and qualitative data, results are obtained that can be used as references. The results of the two methods are the average work time is 60 minutes, Job utilization with the shortest processing time is 35.8%, the average job in the system is 2.79 jobs or rounded to 3 jobs, the average job delay is 48.5 minutes or rounded to 49 minutes. Meanwhile, the amount to be made (processed) is adjusted from the calculation of the available data forecast, so that from this we get the amount that can be used as a reference in its implementation.
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
PENERAPAN CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN BAHASA ISYARAT INDONESIA: STUDI KASUS DAN TINJAUAN FILSAFAT SAINS Hernalom Sitorus; Ucu Nugraha; Sri Titi Handayani; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3448

Abstract

The low literacy of Indonesian Sign Language (BISINDO) in the general public remains a barrier to communication with the Deaf community, while research on AI-based sign language recognition generally focuses solely on technical achievements. This study aims to develop a BISINDO alphabet recognition system based on Convolutional Neural Network (CNN) and evaluate it through a philosophy of science perspective. The methods used include collecting a BISINDO alphabet hand image dataset, data augmentation, and transfer learning-based CNN training with the MobileNetV2 architecture and a stepwise training scheme, then deployed to Android using TensorFlow Lite. Test results show the system is able to achieve an accuracy of around 93% on controlled test data with stable real-time inference performance. The scientific contribution of this research is not only in the development of applied AI systems, but also in providing a reflective ontological, epistemological, and axiological framework to assess the validity and social implications of BISINDO recognition technology.
ANALISIS PENGARUH KOLAM RETENSI DAN TATA GUNA LAHAN TERHADAP REDUKSI LIMPASAN DI SUNGAI PERKOTAAN: (STUDI KASUS KOLAM RETENSI PASIRKALIKI DI DAS SUNGAI CILEMBER, KOTA CIMAHI, JAWA BARAT) Zulfian Azhari
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3480

Abstract

Changes in land use and increasing rainfall intensity in the Cilember River Sub-Watershed have reduced the performance of the Pasirkaliki Retention Pond design prepared in the 2020 Detailed Engineering Design (DED), necessitating a reassessment using updated land-use and rainfall data. This study was conducted through hydrologic–hydraulic simulations based on recent rainfall and land-use data, combined with the evaluation of several retention pond optimization scenarios. Under the original design, the retention pond was able to reduce downstream river water levels by 15–20 cm. However, simulation results indicate that the pond can only reduce the peak flood discharge by 1.4 m³/s, with a downstream water level reduction of 6–20 cm for the 2-year return period discharge (Q₂). Various optimization alternatives were tested to improve flood control performance. The most effective alternative is the addition of a retention pond in the upstream area of the Cilember River watershed, achieving a peak discharge reduction of 10.7 m³/s (54.3%) for Q₂ and a downstream water level reduction of 58–98 cm. Projections of land-use and rainfall changes for the next 5, 15, and 25 years indicate a generally linear increase in flood discharge. Under these conditions, the additional upstream retention pond remains capable of accommodating the Q₂ flood, although runoff reduction efficiency gradually declines.

Page 38 of 38 | Total Record : 377

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