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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 381 Documents
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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.
a PENGEMBANGAN CHATBOT RAG UNTUK LAYANAN INFORMASI AKADEMIK DAN PEMERINTAHAN teguh pribadi; Arif Noor Iman
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 3 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss3.2026.3533

Abstract

demand for information that is repetitive and often dispersed across official documents, web portals, circular letters, regulations, and standard operating procedures. Conventional rule-based chatbots are able to answer simple questions, but they are less adaptive to variations in natural language, policy changes, and the need for answers supported by source evidence. This article proposes a Retrieval-Augmented Generation (RAG)-based chatbot development framework to improve the accuracy, traceability, and security of information services in higher education institutions and government agencies. The proposed framework includes document acquisition, preprocessing, text segmentation, embedding generation, storage in a vector database, retrieval, reranking, answer generation by a large language model, source citation, security guardrails, and multilayered evaluation. The research method adopts a design science research approach through needs analysis, architecture design, RAG pipeline development, testing design, and risk mapping with mitigation strategies. The recommended evaluation metrics include precision@k, recall@k, mean reciprocal rank, context precision, context recall, faithfulness, answer relevancy, answer correctness, response latency, and the System Usability Scale. The design results indicate that a RAG chatbot has the potential to serve as a more accurate and auditable information service layer than a generic chatbot, particularly when the system is required to generate answers based on up-to-date official documents. The main contribution of this article is an architectural and evaluation framework that can serve as an initial blueprint for implementing RAG chatbots in academic services and digital public services.
Analisis Risiko Implementasi Sistem Informasi Akademik Berbasis Cloud Menggunakan ISO 31000:2018 (Studi Kasus: UNIBI Bandung) roofi dwi rahmawati; Roni Surya; Yudhiawan Dwi Nugraha
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 3 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss3.2026.3613

Abstract

The Academic Information System (SIAKAD) is the backbone of higher education academic services, making its reliability crucial. Universitas Informatika dan Bisnis Indonesia (UNIBI) currently operates SIAKAD on a Virtual Private Server infrastructure and is beginning to consider a migration to a cloud computing environment. However, this discourse has not been accompanied by a structured risk analysis foundation, while previous studies generally focused on on-premise infrastructure and have not examined the context of cloud migration planning. This study aims to identify, analyze, and evaluate the feasibility of UNIBI's SIAKAD cloud migration plan from a risk management perspective using the ISO 31000:2018 framework. The approach used is descriptive quantitative based on a questionnaire administered to four infrastructure management staff, assessing likelihood and consequence on a scale of 1-5 to produce a Risk Score. The results identified fourteen risks across four clusters, with two risks categorized as Extreme (data privacy regulatory conflicts and operational cost overruns), seven High risks dominated by security and human resources aspects, and five Medium risks, with no risks categorized as Low. The findings also indicate a gap between quantitative scores and practitioner perceptions, where human error is viewed as the most critical risk despite not having the highest score. The study concludes that the migration is worth considering but is not yet feasible for execution without fulfilling mitigation prerequisites, particularly regulatory compliance, comprehensive cost calculations, strengthening human resource competencies, and phased migration trials. The use of four respondents is explicitly stated here to provide a clear picture of the research scope.
ANALISIS FAKTOR PENYEBAB DEFECT STRUKTUR BETON BERTULANG MENGGUNAKAN SIX SIGMA Kartika Hapsari; Ajeng Sukaena Beddu
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 3 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss3.2026.3695

Abstract

Reinforced concrete structural work is a critical component of building construction that must meet quality standards to ensure structural safety and performance. However, various defects are still frequently encountered during construction, reducing work quality and requiring corrective actions. This study aims to identify the dominant defects, evaluate process capability using the Six Sigma method, analyze the dominant factors causing defects, and propose improvement strategies to enhance the quality of reinforced concrete structural work. This study employed a quantitative descriptive method using the Define, Measure, Analyze, Improve, and Control (DMAIC) approach. Data were collected through Non-Conformance Reports (NCR), field observations, questionnaires, and interviews conducted in Office Building Project X, Central Jakarta. The Measure phase involved calculating the Defect per Million Opportunities (DPMO) and sigma level, while the Analyze phase employed fishbone diagrams and mean analysis to identify the dominant causal factors. The results revealed that honeycombing was the most dominant defect, accounting for 48.78% of column defects, 43.54% of slab defects, and 40.00% of structural wall defects. The sigma levels for columns, slabs, and structural walls were 2.76, 2.90, and 2.67, respectively, indicating that the process capability remains at an average industrial level and requires further quality improvement. Human resources were identified as the dominant factor contributing to defects, with a mean value of 12.83, while worker inaccuracy and lack of discipline were the most influential indicators, with a mean value of 3.375. Based on these findings, improvements are recommended through enhanced supervision, worker guidance, stricter implementation of work procedures, and continuous quality control to minimize defects in reinforced concrete structural work.
RANCANG BANGUN DAN EVALUASI KINERJA MESIN HOT PRESS UNTUK PENGOLAHAN LIMBAH PLASTIK MENJADI PAPAN PLASTIK RAMAH LINGKUNGAN Irna Sari Maulani; Ade Herdiana; Tia Setiawan; Slamet Riyadi; Heris Syamsuri; Zenal Abidin
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 3 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss3.2026.3716

Abstract

Peningkatan volume limbah plastik menjadi salah satu permasalahan lingkungan yang memerlukan inovasi teknologi pengolahan untuk meningkatkan nilai tambah sekaligus mengurangi beban sampah di Tempat Pemrosesan Akhir (TPA). Penelitian ini bertujuan merancang, membangun, dan mengevaluasi kinerja mesin hot press sebagai teknologi pengolahan limbah plastik menjadi papan plastik ramah lingkungan. Metode penelitian menggunakan pendekatan eksperimen yang meliputi perancangan mesin, proses fabrikasi, pengujian sistem pemanas, serta pengujian proses pengepresan limbah plastik. Mesin dirancang menggunakan enam elemen pemanas listrik berdaya 40 W dengan daya total 240 W dan mekanisme pengepres hidrolik berkapasitas 10 ton. Evaluasi dilakukan berdasarkan pengaruh massa cacahan plastik terhadap kualitas papan yang dihasilkan pada temperatur pemanasan 200 °C, tekanan 1 ton, dan waktu pemanasan 2 jam. Hasil pengujian menunjukkan bahwa peningkatan massa cacahan plastik menghasilkan papan dengan tingkat kepadatan yang semakin baik. Massa cacahan 5 kg menghasilkan papan plastik yang padat tanpa terbentuk rongga (hole), sedangkan massa yang lebih rendah masih menunjukkan adanya porositas pada produk. Hasil penelitian menunjukkan bahwa mesin hot press yang dikembangkan mampu mengolah limbah plastik menjadi papan plastik dengan kualitas yang lebih baik melalui pengaturan parameter proses yang sesuai. Teknologi ini berpotensi diterapkan sebagai solusi pengolahan limbah plastik skala laboratorium maupun usaha kecil untuk mendukung implementasi ekonomi sirkular dan pengelolaan sampah yang berkelanjutan.

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