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Enhancing the GLANCE Framework for Line-Level Defect Prediction: An Empirical Study of Semantically-Aware Metrics and Non-Linear Classifiers
Telematika
Vol 18
, No 2
(2026)
Line-level defect prediction (LLDP) is critical for reducing software maintenance costs, yet its industrial adoption is often hindered by high false alarm rates that erode developer trust. While the state-of-the-art GLANCE-LR framework offers a lightweight solution, it relies on linear classifiers and purely syntactic heuristics, failing to capture the non-linear defect patterns and semantic risks associated with complex code constructs. To bridge the gap between operational efficiency and seman...
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Guava Disease Detection and Classification: A Systematic Literature Review
Kurniawan, Muhammad Bayu
; Universitas Amikom Yogyakarta
; Utami, Ema
; Universitas Amikom Yogyakarta
Telematika
Vol 18
, No 1
(2025)
Guavas (Psidium guajava) are nutrient-rich fruits that provide significant health benefits. However, guava cultivation faces persistent threats from various diseases affecting both leaves and fruits, leading to substantial yield and quality losses. The early and accurate detection of these diseases is crucial but remains challenging due to economic constraints and limited infrastructure. While plant pathologists employ various diagnostic methods, these approaches are often time-consuming, costly...
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2 Sitasi
Detection and Classification of Banana Leaf Diseases: Systematic Literature Review
Prasetyo, Ade
; Universitas AMIKOM Yogyakarta
; Utami, Ema
; Universitas AMIKOM Yogyakarta
Telematika
Vol 17
, No 2
(2024)
Bananas, a staple fruit globally, are essential for sustenance, employment, and income. However, diseases like Sigatoka, Bacterial Wilt, Bunchy Top, and Fusarium Wilt pose a threat to their cultivation, affecting both small-scale and large-scale production. This survey investigates methods for the early identification and classification of these banana leaf diseases using deep learning and machine learning techniques. A systematic review of 15 studies revealed that the majority of research conce...
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4 Sitasi
Stacked LSTM-GRU Model for Traffic Anomalies Detection
Alsyaibani, Omar Muhammad Altoumi
; Universitas AMIKOM Yogyakarta
; Utami, Ema
; Universitas AMIKOM Yogyakarta
; Raharjo, Suwanto
; Institut Sains & Teknologi AKPRIND Yogyakarta
; Hartanto, Anggit Dwi
; Universitas AMIKOM Yogyakarta
Telematika
Vol 15
, No 2
(2022)
This study aims to improve the accuracy of the intrusion detection system model. It focused on LSTM and GRU methods proposed by several previous studies. The bidirectional layer was also tested to see if it improves model performance. Dataset used in the study was CIC IDS 2017. The dataset was divided into 3 parts, for training, validation, and testing purposes. Validation data was used to evaluate model performance in every training iteration. It helped to make the model would not overfit the t...
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5 Sitasi
CNN and SVM Combination for Multi-Class Classification of Diabetic Retinopathy Based on Fundus Imaging
Agustin, Tinuk
; STMIK AMIKOM Surakarta
; Purwidiantoro, Moch. Hari
; STMIK AMIKOM Surakarta
; Utami, Ema
; Universitas AMIKOM Yogyakarta
; Fatta, Hanif Al
; Universitas AMIKOM Yogyakarta
Telematika
Vol 15
, No 2
(2022)
Diabetic Retinopathy (DR) is a cause of blindness. Early detection has the potential to save the patient's vision. Reading fundoscopic photos requires more expertise and effort by the ophthalmologist. There are many visual similarities in lesions and only minor differences in the spatial domain. A computer-assisted automatic detection system is needed to assist medical experts in DR diagnosis and can reduce costs. This study proposes a combination method of Convolutional Neural Network (CNN) and...
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Gaussian Pyramid Decomposition in Copy-Move Image Forgery Detection with SIFT and Zernike Moment Algorithms
Rahma, Firstyani Imannisa
; Universitas Amikom Yogyakarta
; Utami, Ema
; Universitas Amikom Yogyakarta
; Al-Fatta, Hanif
; Universitas Amikom Yogyakarta
Telematika
Vol 15
, No 1
(2022)
One of the easiest manipulation methods is a copy-move forgery, which adds or hides objects in the images with copies of certain parts at the same pictures. The combination of SIFT and Zernike Moments is one of many methods that helping to detect textured and smooth regions. However, this combination is slowest than SIFT individually. On the other hand, Gaussian Pyramid Decomposition helps to reduce computation time. Because of this finding, we examine the impact of Gaussian Pyramid Decompositio...
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Survey on Deep Learning Based Intrusion Detection System
Alsyaibani, Omar Muhammad Altoumi
; Universitas AMIKOM Yogyakarta
; Utami, Ema
; Universitas AMIKOM Yogyakarta
; Hartanto, Anggit Dwi
; Universitas AMIKOM Yogyakarta
Telematika
Vol 14
, No 2
(2021)
Development of computer network has changed human lives in many ways. Currently, everyone is connected to each other from everywhere. Information can be accessed easily. This massive development has to be followed by good security system. Intrusion Detection System is important device in network security which capable of monitoring hardware and software in computer network. Many researchers have developed Intrusion Detection System continuously and have faced many challenges, for instance: low d...
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ANALISA DAN OPTIMALISASI RANCANGAN BASIS DATA APLIKASI PENCATAT KEUANGAN DIGITAL
Laksamana, M Imam Budi
; Gusman, Anisya Nursyah
; Arif, Muhammad Lathifuddin
; Fadli, Muhammad
; Anam, Muhammad Syaiful
; Utami, Ema
Dinamik
Vol 26
, No 1
(2021)
Kemajuan teknologi informasi diharapkan dapat menjadi alat yang dapat membantu proses pengelolaan data. Pengelolaan dan penggunaan data yang tersistematis dapat menghasilkan informasi yang rinci. Pengelolaan data yang baik dapat meningkatkan kualitas informasi yang diolah. Pada perancangan database, terdapat hal-hal penting yang harus diperhatikan, diantaranya adalah constraint, type data dan relasi yang dibutuhkan untuk masing-masing table yang ada pada database. Constraint, type data, dan rela...
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Comparison of Inverse Kinematics and Forward Kinematics Methods on Walk Cycle Animation Characters
Aini, Afifah Nur
; University of Amikom Yogyakarta
; Utami, Ema
; Universitas Amikom Yogyakarta
; Raharjo, Suwanto
; Universitas Amikom Yogyakarta
Telematika
Vol 14
, No 1
(2021)
The 3D animation industry is currently growing rapidly, but the process of animating 3D characters is not always fast, because it is often constrained at the animation stage due to the complexity or irregularity of the function of each rig on the 3D character object, therefore it takes a proper rig creation stage to support the animation process that is more efficient in terms of process and time. Kinematics in animation is used for reference when an object is moving. The animation uses a Kinema...
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Literatur Review Metode Evaluasi Kualitas Usability Website
Kulakat, Aldy A
; Utami, Ema
; Wibowo, Ferry Wahyu
Jurnal Ilmiah Sinus
Vol 19
, No 1
(2021)
Website is a collection of online documents containing Web pages that are moored in a domain as a unique name. It can be accessed via the Internet so that existing information can be displayed and accessed by Web visitors. Web visitors tends to need websites with user interface which is easy to use, to interact (usability), or communicate in sharing information. There are basically some benchmarks that can be used to measure website usability, including (1) Learnability, easiness to learn; (2) E...
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