Article Per Year (5 Year)
p-Index From 2021 - 2026
3.592
P-Index
This Author published in this journals
All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Indonesian Journal of Electrical Engineering and Computer Science PAKAR Pendidikan Journal of Applied Data Sciences Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Journal of Computer Scine and Information Technology Jurnal Riset dan Pengabdian Masyarakat Jurnal Ipteks Terapan : research of applied science and education Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo
Silfia Andini
Universitas Putra Indonesia YPTK Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
MEASUREMENT OF INLIS APPLICATION QUALITY USING MCCALL METHOD Silfia Andini; Hari Marfalino; Rima Liana Gema
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 2 (2021): Vol. 15 No. 2 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.45 KB) | DOI: 10.22216/jit.v15i2.346

Abstract

The Inlis application at the Archives and Library Office of West Sumatra Province is used to manage the lending and book return process carried out by each library member. With the library system, it can help the librarians to know the flow of books in and out of the delay in returning the library members to determine the fines to be paid by the members. Based on this the authors will measure the quality of the Library Information System because in this system the quality of the system is unknown, thus identifying the accuracy, completeness and quality of the software in the Inlis Application. The measurement method in this study is the McCall Method. The results based on the McCall Method show that the quality of the Inlis Application is good with a percentage value of 73%, with the best indicator value, namely reliability with a yield of 73% and the worst indicator value, ie with a result of 51%
LOAD BALANCE PCC AND FAILOVER WITH RECURSIVE GATEWAY Deval Gusrion; Rima Liana Gema; Silky Safira; Aulia Fitrul Hadi; Silfia Andini
Jurnal Ipteks Terapan Vol. 16 No. 4 (2022): Jurnal Ipteks Terapan : research of applied science and education
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1173.877 KB) | DOI: 10.22216/jit.v16i4.1945

Abstract

The continuous flow of information has become a necessity for organizations. The internet moves information quickly to support the activities of its users, PT. Graha Cipta Bangko Jaya. These organizations must keep running their business even when internet service is unavailable. There are several ways to overcome this problem, one of which is to use at least two different internet sources, which will be combined with failover techniques on the internet connection so that if one internet source is disconnected, it will be automatically transferred to another internet source. The failover technique is usually combined with the load balance technique, and there are several methods for the load balance, one of which is PCC (Per Connection Classifier). The PCC load balance and failover method are commonly used in the gateway check feature on the ip route menu. However, when implementing the gateway check feature, it can only check on the gateway device so that if there is a problem at the provider, it will not be able to be monitored by the router side. So that the router can check directly with the provider, it can add a recursive gateway technique to failover. A device that can support the above method is the Mikrotik Router. A Mikrotik router is a device or operating system specifically designed for routing in computer networks. Later the results of this research can ensure the availability of the internet within the organization and increase the operational productivity of the organization
Analysis and Application of the Certainty Factor Method in the Diagnostic Expert System for Broiler Chicken Diseases Ragil Ardiansyah; Yuhandri; Silfia Andini
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.65

Abstract

An expert system is a system that uses human knowledge recorded in a computer to solve problems that normally require human expertise. Certainty Factor is a clinical parameter value given by MYCIN to indicate the level of trust. The certainty factor is also a way of combining belief and disbelief in a single number. Certainty factor introduces the concepts of belief/belief and disbelief/unbelief. In the system analysis stage, the author analyzes to find weaknesses in the system that is currently running in an organization or company with the aim that the system can be proposed for improvement. Implementing the program that has been designed requires a tool in the form of a computer or laptop, which requires three supporting components to operate the computer or laptop itself, such as hardware, software, and brainware. The expert system application has been running with the Certainty Factor method and to make a diagnosis on chickens the user can choose a value according to the Certainty Factor Interpretation that has been given and processed with the CF expert. Based on the tests carried out, the value of system accuracy with experts is almost the same . And the Inference engine works well, according to the pre-programmed rules. After diagnosing a chicken disease, the system will display how to treat and handle sick broiler chickens
Penerapan E-Test Pada Mata Pelajaran Bahasa Inggris Menggunakan Model View Controller Sri Restu Ningsih; Erdisna Erdisna; Febriyanno Suryana; Yenni Desnelita; Silfia Andini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5090

Abstract

The problem that occurs in one of the high schools is that there is no online-based English exam system, and they still use paper for their assessments. This makes teachers unable to give exams to students if they do not attend school. The purpose of this research is to create an online exam system to facilitate exam administration using the Model View Controller (MVC) to assess online English exams. The analytical method uses the System Usability Scale (SUS), to collect data using an electronic test (e-Test).Unifield Modeling Language (UML), a visual modeling technique used in designing and building object-oriented software for E-Test applications.The results showed that the use of the E-test application in a comparison class in English subjects could improve student learning outcomes to a higher level, from a score of 81.7 to 90.9. Compared to the control class, there was a slight increase, namely an increase in value from 71.5 to 75.8. This proves that the E-test application is used effectively by students for English subjects.
Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC Ginantra, Ni Luh Wiwik Sri Rahayu; GS, Achmad Daengs; Andini, Silfia; Wanto, Anjar
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.887 KB) | DOI: 10.47065/bits.v3i4.1449

Abstract

Conjugate gradient Fletcher-Reeves algorithm, according to some literature, is an optimization method that is suitable when juxtaposed with the backpropagation method because this method can speed up the training time to achieve a minimum convergence value. Therefore, this study aims to prove whether the algorithm has good performance and can provide efficient convergence results when used to solve prediction problems in the case of export values ​​according to the Standard International Trade Classification (SITC) class. The results of this study are a predictive model that can be used and developed to make predictions in seeing the development of the export value of the SITC class based on the US Dollar currency. The research data was taken from the website of the Central Statistics Agency for 2010-2020. Prediction models that will be analyzed using the Fletcher-Reeves algorithm include 5-20-1, 5-25-1, and 5-30-1, with the activation functions of tansig and logsig. Based on the analysis carried out through excel calculations from the training and testing process using the Matlab-2011b application, the results obtained that the 5-25-1 network model is the best model with a performance value or Mean Square Error 0.00287273 compared to the other four models. So it can be concluded that the Fletcher-Reeves algorithm is proven to produce faster convergence; it can be seen from the epoch generated from each model that it is not too large and the time required is relatively short
Menggagas Dunia Digital di Pedesaan: Evaluasi Efektivitas Pendampingan Sistem Informasi di Gampong Balee Kecamatan Meureubo Aceh Barat Zia Farhan Afra; Lukman Ibrahim; Wahyuni Sutari Hsb; Andini, Silfia; Rizkia, Eva
Jurnal Riset dan Pengabdian Masyarakat Vol. 4 No. 1 (2024): Jurnal Riset dan Pengabdian Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jrpm.v4i1.3967

Abstract

Dalam era globalisasi dan kemajuan teknologi informasi, peran teknologi digital menjadi krusial dalam membentuk gaya hidup dan perkembangan masyarakat. Penelitian ini menyoroti pentingnya pendampingan sistem informasi desa dalam mendukung program pemerintah gampong khusunya Gampong Balee, Kecamatan Meureubo, Kabupaten Aceh Barat. Meskipun perkembangan teknologi digital dapat diimplementasikan di berbagai lapisan masyarakat, desa-desa seperti Gampong Balee menghadapi tantangan khusus, termasuk keterbatasan infrastruktur dan literasi teknologi. Evaluasi efektivitas pendampingan sistem informasi Gampong Balee menunjukkan dampak positif dalam meningkatkan transparansi dan efisiensi penyusunan program gampong. Meskipun Geuchik dan Ketua PKK Gampong Balee mengakui manfaatnya, namun pandangan masyarakat terbagi yaitu dengan beberapa dari mereka menyambut baik transparansi sistem, sementara yang lain mengatakan bahwa ketersediaan data masih sangat kurang bahkan sebagian yang lain belum bisa mengaksesnya. Disimpulkan bahwa diperlukan perhatian dan upaya yang lebih intensif untuk meningkatkan pemahaman dan aksesibilitas sistem informasi desa agar manfaatnya dapat dinikmati secara merata oleh seluruh masyarakat Gampong Balee melalui pendampingan dari Pemerintah Daerah, lembaga-lembaga mitra Pemerintah dan perguruan tinggi. Evaluasi ini memberikan dasar untuk perbaikan dan peningkatan penerapan teknologi informasi desa guna mendukung pembangunan yang lebih efektif dan inklusif.
Improved feature extraction method and K-means clustering for soil fertility identification based on soil image Ramadhanu, Agung; Hendri, Halifia; Enggari, Sofika; Andini, Silfia; Devita, Retno; Rianti, Eva
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i3.pp2001-2011

Abstract

This research is conducting analysis of digital land images using digital image processing techniques. The main purpose of the research is to classify soil fertility based on two-dimensional RGB colored digital soil images. The research is done by extracting features and shapes from the soil image. The research uses methods of segmentation, extraction, and identification against digital soil images. This research is carried out in three stages. The first phase of this research is image pre-processing which begins with the conversion of RGB color image to Grayscale then color conversion to binary which subsequently performs noise reduction with the method Three-layer median filter. The second stage is a process that is divided into the first two stages, namely the process of segmentation by grouping RGB color images into L*a*b which is continued by clustering using the K-means clustering method. The second is the extraction of characteristics of the soil image which is characteristic of shape and texture. The final stage is the identification of soil images that are clustered into two types: fertile soils and unfertile soil. The study achieved an accuracy of 85% which could accurately identify 20 images while inaccurately classifying 5 images out of a total of 25 input images.
Development of ResNet-18 architecture to lesion identification in breast ultrasound images Andini, Silfia; Sumijan, Sumijan; Fitri, Iskandar
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1236-1248

Abstract

Breast ultrasound (USG) is widely used for early breast cancer detection, but challenges such as noise, low contrast, and resolution limitations hinder accurate lesion identification. This study proposes a modified residual network-18 (ResNet-18) architecture for breast lesion segmentation, aimed at improving detection accuracy. The methodology involves preprocessing steps including red green blue (RGB) to Grayscale conversion, contrast stretching, and median filtering to enhance image quality. The modified ResNet-18 model introduces additional convolutional layers to refine feature extraction. The proposed model was trained and validated on 30 breast ultrasound images, with evaluation metrics including accuracy, sensitivity, and specificity. Experimental results indicate that the modified architecture outperforms the baseline model, achieving an average accuracy of 0.97093, sensitivity of 0.90056, and specificity of 0.97705. Validation by a radiology specialist confirms the model’s clinical relevance. These findings suggest that the enhanced ResNet-18 model has the potential to assist radiologists in more accurately identifying breast lesions. Future research should focus on expanding the dataset, integrating multi-modal imaging, and optimizing model generalizability for real-time clinical applications. The study contributes to advancing artificial intelligence (AI)-driven breast cancer diagnostics, supporting early detection, and improving patient outcomes.
PERANCANGAN SISTEM INFORMASI PEMESANAN PAKET WEDDING DAN PREWEDDING PHOTOGRAPHY PADA STUDIO AAN UNCHU PHOTOGRAPHY BERBASIS WEB Aditya Franatiaga; Silfia Andini; Harkamsyah Andrianof
Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Vol. 5 No. 1 (2023): ELTI Juni
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/elti.v5i1.206

Abstract

At Studio Aan Unchu Photography, some activities are still not computerized, as a result, Studio Aan Unchu photography often receives complaints from customers. This can create a negative impression of the services of Studio Aan Unchu Photography, this negative impression will have an impact on decreasing the trust of prospective customers which is caused by negative reviews from previous customers. There are many changes to photo session schedules, especially pre-wedding, which suddenly require customers to rearrange their busy schedules and adjust to the new schedule. The scheduling system mechanism at Studio Aan Unchu Photography is still a mess, resulting in difficulties in allocating teams and the availability of equipment. By using the Information System for Ordering Wedding and Prewedding Photography Packages, it can speed up and make it easier for customers to place orders without having to come directly to the Aan Unchu Photography Studio, can be used as an auxiliary media in increasing the number of sales of wedding and prewedding photography packages, can provide accurate information about prices packages offered and shooting schedules.
Optimization of Shape, Texture, and Color Extraction Methods in Concrete Strength Detection Ramadhanu, Agung; Hendri, Hallifia; Majid, Mazlina Abdul; Enggari, Sofika; Andini, Silfia; Hidayat, Rahmad
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.4164

Abstract

The growing demand for an accurate and rapid method to assess concrete strength has driven the development of non-destructive and cost-effective techniques. This paper aims to enhance the process of extracting shape, texture, and color features from concrete surface images to improve the accuracy of strength classification through digital image processing and artificial intelligence (AI). The study uses a dataset of 300 high-resolution photographs of concrete samples, categorized by their compressive strength levels: weak, moderate, and strong. These images were taken under controlled background and lighting conditions to ensure consistency. The methodology involves three stages: image preprocessing, feature extraction, and classification. During preprocessing, RGB images are converted to the Lab color space, and a three-layer median filter is applied to reduce noise. The K-Means clustering algorithm segments the images, and relevant features such as Metric, Eccentricity, Contrast, Correlation, Energy, Homogeneity, Hue, and Saturation are extracted. Among these, Correlation and Energy are the most influential in classification accuracy. The experimental results show that the proposed approach can reach up to 90 percent accuracy in classifying concrete strength into three categories. This suggests that visual features have strong potential to replace traditional destructive testing methods. The findings also point to the possibility of enhancing prediction accuracy with deep learning models and developing real-time, field-based evaluation tools to aid quality control in the construction industry.
Co-Authors Abu Kasim Aditya Franatiaga Ahmad Rivaldi Anggi Muhammad Fajri Aulia Fitrul Hadi Aulia Hadi Deval Gusrion Dinul Akhiyar Edo Septiawan Enggari, Sofika Erdisna Erlinda Erlinda Erlinda Erlinda Eva Rianti Fajrul Islami Gema, Rima Liana GS , Achmad Daengs Halifia Hendri Harkamsyah Andrianof Hendri, Hallifia Iskandar Fitri, Iskandar Jamhur, Annisak Izzaty Lita Gusrian Lukman Ibrahim Majid, Mazlina Abdul Marfalino, Hari Muhammad Akhif Muhammad Fikri Arif Ni Luh Wiwik Sri Rahayu Ginantra Poningsih Poningsih Ragil Ardiansyah Ramadani Sabela Ramadhanu, Agung - Rani Anggraini Retno Devita Ridho Perwira Niza Ridho Perwira Niza Riky Hermansyah Rizkia, Eva Silky Safira Sofika Enggari Sri Rahmawati Sri Restu Ningsih Sumijan Sumijan Surmayanti, Surmayanti Suryana, Febriyanno Thesalonica Claudia Tri Oktaharyadi Putra Tukino Tukino Veni Amirah Putri Veri, Jhon Wahyuni Sutari Hsb Wanto, Anjar Winda Putri Afandi Yenni Desnelita Yuhandri Yuhandri, Yuhandri Zia Farhan Afra