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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora (KAGANGA) INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Elektro dan Komputasi (ELKOM) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Manajemen Informatika Jayakarta International Journal Software Engineering and Computer Science (IJSECS) DEVOTE: Jurnal Pengabdian Masyarakat Global CKI On Spot
Sri Lestari
Program Studi Sistem Informasi, St Ilmu Komputer Cipta Karya Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Public Sentiment Analysis on the Inauguration of President Prabowo Subianto on Platform X Using the Support Vector Machine (SVM) Algorithm Rosalina Saputri; Sri Lestari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3787

Abstract

The inauguration of President Prabowo Subianto emerged as a pivotal political event that captured significant public interest and sparked a wide array of reactions across social media, particularly on the X platform (formerly known as Twitter). This research aims to categorize and analyze public sentiment regarding this historic moment by utilizing the Support Vector Machine (SVM) algorithm, a robust machine learning approach for classification tasks. A dataset comprising 1,000 tweets was initially gathered through targeted searches related to the inauguration. Subsequently, the data underwent a rigorous preprocessing phase, which included tokenization to break down text into individual components, stopword removal to eliminate irrelevant terms, filtering to exclude special characters and noise, and Term Frequency-Inverse Document Frequency (TF-IDF) transformation to convert textual data into a numerical format suitable for algorithmic processing. After preprocessing, 909 data points were prepared for further analysis. The dataset was then divided into two subsets: 80% allocated for training the model (727 data points) and 20% reserved for testing its performance (182 data points). The results of sentiment classification indicated that, among the test data, 653 tweets conveyed a positive sentiment toward the inauguration, whereas 74 tweets expressed a negative sentiment. Performance evaluation of the model demonstrated a commendable accuracy rate of 89.82%, alongside a precision of 89.82%, a recall of 100%, and an F1-score of 94.63%. These metrics highlight the model’s strong capability to accurately discern and classify public opinions related to political developments. The elevated recall rate, in particular, signifies the model’s ability to identify all instances of positive sentiment without omission. However, the precision score suggests some room for refinement in reducing misclassifications. The findings underscore the effectiveness of the SVM algorithm in dissecting and interpreting consumer sentiment toward significant political events. This provides a reliable tool for such analyses. Moreover, the outcomes of this study are anticipated to offer a valuable reference point for stakeholders and policymakers in leveraging data-driven approaches to gauge public opinion and monitor economic trends in Indonesia. This research also lays the groundwork for future investigations into sentiment analysis within the digital sphere. This could guide strategic communications and policy formulation based on real-time societal feedback
Comparison of Classification of Songket Fabric Types Using AlexNet and VGG19 (Visual Geometry Group) Method Sri Lestari; Nida Apipah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3815

Abstract

This study aims to evaluate and compare the performance between deep learning models AlexNet and VGG19 in Songket fabric classification. Due to its complex patterns and subtle differences, Songket classification must be accurate. The datasets in this study are various types of Songket images and all datasets are classified by type for easy analysis. After intensive learning and evaluation, VGG19 is a superior classifier than AlexNet. The highest performance is achieved by the VGG19 method in terms of performance measure accuracy, precision, recall, and F1 score, which may be due to the increase in depth and better extraction of some detailed visual features from complex images. Although these results have substantial practical implications, some issues need to be further discussed before optimizing the results. Hyperparameters, such as learning rate or batch size, can be changed to optimize the speed and accuracy of the model. In addition, the diversity of the data should be increased by using data augmentation techniques to ensure that the model generalization to market conditions is possible. More complex additions (lighting changes, texture distortion simulation, or others) can also contribute to improving the robustness of the trained model to these disturbances. The conclusion of the research is the importance of improving the accuracy and usefulness of single fabric classification. This will result in its application in heritage preservation and textile development.
Automatic Purchase Order Classification Using SVM in POS System at Skus Mart Sri Lestari; Muhamad Zaeni Nadip; Yuma Akbar; Aditya Zakaria Hidayat; Raisah Fajri Aula
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4564

Abstract

In retail business processes, decision-making regarding Purchase Order PO submissions often remains manual and subjective, creating risks that impede procurement efficiency. The study develops an automatic classification model to predict PO approval status using Support Vector Machine SVM algorithm integrated within Point of Sale POS systems. Historical purchase transaction data was obtained from SKUS Mart POS database containing 133 entries, including attributes such as item quantity, purchase price, previous stock levels, and total purchase amounts. The research applies CRISP-DM methodology, encompassing business understanding, data exploration, preprocessing normalization using StandardScaler, model training, evaluation, and deployment phases. The model was trained using linear kernel and validated through holdout technique with 80:20 ratio for training and testing. Test results demonstrate that the SVM model achieves 76.69% accuracy, 82.21% precision, 76.69% recall, and 78.51% F1-score. The model was implemented in a web-based POS system CodeIgniter 3 combined with Python scripts to generate automatic classifications displayed directly in the user interface. Although the model demonstrates adequate performance, the study has not compared its effectiveness against other machine learning algorithms such as Random Forest or K-Nearest Neighbor. These findings establish initial groundwork for machine learning integration to support decision automation in procurement systems.
Implementation of a Chatbot Using the Waterfall Method to Improve Helpdesk Service Efficiency at IT Consulting Companies Sri Lestari; Eka Putri Aprillia; Raisah Fajri Aula
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5207

Abstract

PT XYZ is a company engaged in information and communication technology services, supporting customers' digital transformation. The effectiveness of helpdesk services plays a crucial role in maintaining operations and fostering customer relationships. However, the issue reporting process is still handled manually through platforms such as WhatsApp and email, causing several problems, including inefficient ticket management, delays in ticket number assignment, and limited historical data. This study developed a chatbot based on Microsoft Copilot Studio to automate ticket creation, supported by Power Apps to address the lack of two-way communication features, aiming to support Customer Relationship Management (CRM) efforts. The system was developed using Waterfall methodology. The results showed significant improvements in service efficiency: the previous average initial response time of 2 days, 19 hours, and 13 minutes was eliminated due to automatic ticket number assignment; the average issue resolution time decreased from 5 days, 6 hours, and 20 minutes to 42 minutes; and ticket history search time improved from 14 minutes to 2 seconds. The chatbot successfully accelerated the reporting process, enhanced data recording, and reduced the workload of the helpdesk team. This solution significantly improved helpdesk efficiency and strengthened customer engagement.
PEMBUATAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS WORDWALL SEBAGAI INOVASI PEMBELAJARAN ANAK PAUD MUTIARA HATI PULO GEBANG Sri Lestari; Mesra Betty Yel; Shofy Kamila El Fajriah; Nurjanah Nurjanah; Rizkia Rachma
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/vbj8dt61

Abstract

Pendidikan Anak Usia Dini (PAUD) merupakan tahap pendidikan yang sangat penting dalam pembentukan dasar perkembangan anak. Pada masa ini, anak mengalami proses pertumbuhan dan perkembangan yang pesat, baik dari aspek kognitif, afektif, maupun psikomotorik. Oleh karena itu, pembelajaran di PAUD harus dirancang secara menyenangkan, interaktif, dan sesuai dengan karakteristik anak yang cenderung aktif, imajinatif, serta penuh rasa ingin tahu. PAUD Mutiara Hati di Pulo Gebang, Jakarta Timur, merupakan salah satu lembaga pendidikan anak usia dini yang terus berupaya mengembangkan inovasi dalam proses belajar mengajar. Berdasarkan hasil observasi awal, kegiatan pembelajaran di PAUD ini masih didominasi oleh metode konvensional seperti ceramah dan lembar kerja (worksheet). Hal ini membuat beberapa anak cepat merasa bosan dan kurang fokus dalam mengikuti kegiatan belajar. Guru PAUD memiliki peran yang sangat vital dalam menciptakan lingkungan belajar yang menarik dan bermakna. Salah satu tantangan yang dihadapi guru adalah bagaimana mengembangkan metode dan media pembelajaran yang mampu menarik perhatian anak, memotivasi mereka untuk belajar, serta membantu mereka memahami konsep-konsep dasar seperti huruf, angka, warna, dan bentuk secara efektif.
Implementasi Aplikasi Pelayanan Warga Berbasis Android Berbasis User Centered Design Rasiban Rasiban; Dadang Iskandar Mulyana; Sri Lestari; Muhammad Fakhri Pratama; Yansen Yansen
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 3 (2022): Maret 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3912

Abstract

Technological developments in the modern era as it is today, there have been many innovations from scientists, communities and students to facilitate human activities. The results of this innovation are expected to help people's daily activities. However, there have not been many innovations that can facilitate human work, one of which is in the field of citizen services, such as the area of Rt 007 Rw 014 Kelurahan Pgilan, East Jakarta, which is currently trying to develop into a more developed and better area. The analytical method and technique used in this research is a SWOT analysis, by looking at the company's business needs and objectives. So the researcher aims to develop an Android-based application for the citizen service information system, because it will be very helpful in the citizen data storage system, as well as other citizen services directly in the citizen service application. And it can be directly accessed by the head of Rt 007. In making this Android-based application, the Java programming language is used as the Sharedpreferences database. With this citizen service application system, it is hoped that it will make it easier for the people of Rt 007 who are involved in data management and the head of Rt 007 or other management can monitor the application of citizen services
IMPLEMENTASI SISTEM INFORMASI PERKEMBANGAN BALITA BERBASIS WEBSITE DI POSYANDU MELATI RW 2 KELURAHAN MUNJUL Sri Lestari; Aryo Putra Ramadhan; Salsabila Putri Wibowo; Nicola Marthy
Devote: Jurnal Pengabdian Masyarakat Global Vol. 4 No. 2 (2025): Devote : Jurnal Pengabdian Masyarakat Global, Juni 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/devote.v4i2.4113

Abstract

The development of toddlers is a crucial aspect of a child's growth, requiring regular monitoring to ensure each stage progresses properly. However, the recording of toddler development at Posyandu RW 2 Kelurahan Munjul is still conducted manually, making the process inefficient, prone to data loss, and time-consuming in reporting. To address this issue, a web-based toddler development information system was implemented to enhance the efficiency of data recording, management, and reporting of children's health information. The development of this system utilized the Waterfall model, which includes stages such as requirements analysis, system design, implementation, testing, deployment, and maintenance. The implementation results indicate that this web-based system accelerates the process of recording and processing toddler data, improves information accuracy, and facilitates access for healthcare workers and parents. Additionally, the system provides data visualization features in the form of graphs and digital reports, enabling a more effective analysis of toddler development. With this web-based information system, Posyandu RW 2 Kelurahan Munjul can improve the quality of health services for toddlers, optimize child growth monitoring, and expedite reporting to the Health Department. This system is expected to be adopted by other posyandu to support the digitalization of healthcare services through information technology.
Co-Authors Aditya Zakaria Hidayat Agung Pratama Akbar, Yuma Aldi Sitohang Aldino Nur Ihsan Andrian Nur Ihsan Aryo Putra Ramadhan Aula, Raisah Fajri Ayuk Ambar Kusuma Bela Dina Betty Yel, Mesra Dadang Iskandar Mulyana` Deason’s Tanduri Dhiva Andini Putri Alinur Dionta Dionta Dzaky Haidar Eka Anggraeni Eka Putri Aprillia Eka Satria Maheswara Erno Sumantri Firza Novianto Hadi Lheena Herta Apriani Silaban Ilham Gunawan Irfan Maulana Julinar Sari Hutagalung M Ainur Rofik M Ohan Joharuddin Zakaria Maharanisa Maharanisa Megawati Megawati Miftahul Jannah Ahyana Puteri Kharisha Miftahul Jannah Ahyana Puteri Kharisha Muhamad Zaeni Nadip Muhammad Adri Ramadhan Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Mufti Ramdhani Muhammad Zaeni Nadip Nicola Marthy Nida Apipah Nurjanah Nurjanah Puji Kurniati Rasiban Raya Fitri Boangmanalu Rizkia Rachma Rosalina Saputri Salsabila Putri Wibowo Sandy Rivaldiansyah Shofy Kamila El Fajriah Soleh Ependi Stefany Tarunajaya Sugeng Sugeng Tri Wahyudi Virginia Khoirunnisa Wahyu Hidayat Wahyu Saputro Wieko Wieko Yansen Yansen Yomi Kusumah