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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan MULTINETICS Jurnal Puan Indonesia Internet of Things and Artificial Intelligence Journal Journal of Informatics and Electronics Engineering Journal of Economics, Accounting, Tax and Management Journal Of Artificial Intelligence And Software Engineering Scientific Journal of Informatics
Tresnawati, Shandy
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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PENERAPAN E-COMMERCE PADA KARANG TARUNA KOMPLEK NUSA HIJAU Anggreini, Novita Lestari; Ekawati, Nia; Tresnawati, Shandy
PUAN INDONESIA Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024): Jurnal Puan Indonesia Vol 5 No 2 Januari 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v5i2.203

Abstract

The purpose of this community service is to increase community awareness of technology in the field of e-commerce and educate about how to utilize it through entrepreneurship. Nusa Hijau Complex has a Youth Organization which consists of junior high school and high school students. But even though the average Karang Taruna member is a school student, they always hold social activities such as sharing happiness with orphans, working together to clean up the complex environment, and holding studies on educational matters. The understanding of e-commerce in the community is certainly still limited, so from this the service team wants to provide enlightenment from the application of e-commerce itself. The target of the current service team is Karang Taruna Komplek Nusa Hijau, this service activity is well received by the service participants, so that the application of e-commerce can be implemented properly.
Pelatihan Mengenalkan Struktur Data pada SMK Negeri 2 Cimahi Tresnawati, Shandy; Ekawati, Nia; Anggreini, Novita Lestari; Rohmayani, Dini
PUAN INDONESIA Vol. 6 No. 1 (2024): Jurnal Puan Indonesia vol 6 no 1 Juli 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i1.278

Abstract

Data structures and algorithms are important, integrated, and mutually supportive parts of building good and efficient application programs. Paying more attention to this can provide very important results, especially in increasing access speed and providing insight and guidance on how to improve problem solving and find better solutions. The service team conducts community service in Software Engineering expertise, this certainly supports the material that will be delivered to the Software Engineering department about learning Data Structures. In addition, the service team received an explanation from the teacher of SMK Negeri 2 Cimahi, there is data structure learning material so that it is sustainable in the training held by the service team. The material presented by 3 (three) speakers included linked lists, stacks and queues. The following are the results done by the service participants. The conclusion on community service at SMK Negeri 2 Cimahi, the service participants, namely school students, were enthusiastic in learning data structure material. Service participants understand better and can implement the results that have been done in the training process.
Microcontroller-based Forklift Path Following Robot Prototype Tresnawati, Shandy; Ekawati, Nia; Siddiq, Maulana Fadjar
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.733

Abstract

The development of science in the field of robotics has made many heavy jobs that cannot be done by humans replaced by robots, especially in the factory industry. In modern factories, most of them have a warehouse or similar facility that contains heavy equipment for use in a factory, for example, forklift heavy equipment. Based on an interview with one of the forklift operators, the problem of using forklifts is usually when there are items that must be moved that cannot be lifted by humans which must be done immediately according to the route where the item is stored. To answer the existing problems, a robot prototype was made which is useful to help facilitate the work of factory workers. This robot prototype was built using the User Centered Design (UCD) method. This robot prototype uses the main components of Arduino UNO, L293D Motor Driver, and PWM Servo Motor Driver. Based on the overall testing that has been done, it can be said that the robot prototype can follow the route according to the program and can lift and remove objects in front of it with a score of 80%. So that workers can be helped to facilitate their work.
ANALISIS SENTIMEN PADA PLATFORM X TERHADAP LAYANAN PROVIDER TRI MENGGUNAKAN NAÏVE BAYES DAN SUPPORT VECTOR MACHINE Ihsan, Adrian Nur; Tresnawati, Shandy
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5264

Abstract

Abstrak. Perkembangan teknologi digital dan media sosial telah mengubah cara masyarakat berinteraksi dan menyampaikan opini. Platform X (sebelumnya dikenal sebagai Twitter) menjadi salah satu media yang banyak digunakan untuk menyuarakan pendapat terkait berbagai isu, termasuk layanan telekomunikasi. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap layanan Provider Tri yang diungkapkan melalui tweet di X, dengan menggunakan algoritma Naïve Bayes dan Support Vector Machine serta menerapkan metodologi data mining SEMMA. Data penelitian ini diperoleh melalui teknik crawling, menghasilkan 4.333 tweet yang dikumpulkan dari 1 Januari 2023 hingga 30 April 2024. Dataset ini kemudian dievaluasi dengan membaginya ke dalam berbagai rasio pelatihan dan pengujian. Analisis menggunakan rasio 90:10, yang dilakukan dengan 10-fold cross-validation, menunjukkan bahwa algoritma Naïve Bayes memperoleh akurasi sebesar 67,73%, presisi sebesar 72,30%, recall sebesar 67,73%, dan f1-score sebesar 58,66%. Sebaliknya, algoritma Support Vector Machine mencapai akurasi sebesar 76,10%, presisi sebesar 75,65%, recall sebesar 76,10%, dan f1-score sebesar 75,20%. Hasil menunjukkan bahwa algoritma Support Vector Machine lebih unggul dengan akurasi tertinggi sebesar 76,10%. Selain itu, analisis sentimen menunjukkan bahwa mayoritas sentimen pengguna terhadap layanan Provider Tri adalah positif.
Pelatihan Desain Web untuk Menambah Pengetahuan Siswa Madrasah Tsanawiyah Al-Mukhlis Desa Jatisari Kabupaten Bandung Ernawati, Tati; Ekawati, Nia; Iskandar, Rachmat; Tresnawati, Shandy; Raafidiani, Reni; Ihsan Kamil, Ali
PUAN INDONESIA Vol. 6 No. 2 (2025): Jurnal Puan Indonesia Vol 6 No 2 Januari 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i2.315

Abstract

The PkM activity aims to provide theoretical and practical training about web design that participants know and understand web design used Bootstrap. It is expected that this training will help students understand the web design concept. Partner is Pondok Pesantren Al-Mukhlis Desa Jatisari Kabupaten Bandung. The method used in PkM activities is training accompanied by demonstrations to increase the skills of participants related to web design material. PkM activities for junior high school participants have been realized in the form of training on Tuesdayy, August 31 2024. This PkM activity shows that students have acquired basic knowledge of web design. The students' active participation during the training indicates a positive response to the training material.
Brain Tumor Detection Using Improved Fuzzy Logic Classifier Model Based on K-folds Validation Tresnawati, Shandy; Alfianti, Henny
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.13964

Abstract

Purpose: This study aims to improve brain tumor detection by integrating Fuzzy Logic with K-folds validation to enhance classification accuracy and robustness. The research addresses the challenge of distinguishing between normal and abnormal brain MRI images. Methods: This study utilized a public dataset from Kaggle comprising 2,660 MRI images, initially categorized into four classes: Glioma, Meningioma, Pituitary, and No Tumor. For the study, Glioma, Meningioma, and Pituitary were combined into one abnormal label, resulting in two classes: Normal and Abnormal. The methodology involved pre-processing the images, applying Fuzzy Logic with K-folds validation (K=3), and evaluating the model’s performance using single prediction tests. Result: The proposed approach achieved an exceptional accuracy of 99.88% during the K-folds validation process. The model demonstrated strong performance across all test samples, accurately classifying both normal and abnormal cases, with true positive results in single prediction tests. Novelty: This study introduces a novel combination of Fuzzy Logic with K-folds validation, demonstrating a significant improvement in classification accuracy compared to existing methods. The integration of these techniques offers a robust framework for brain tumor detection, enhancing diagnostic precision and addressing the challenge of distinguishing between various tumor types in MRI images.
PELATIHAN MEMBUAT POSTER MENGGUNAKAN CANVA UNTUK MENAMBAH PENGETAHUAN DESAIN GRAFIS SISWA KELAS X SMK CENDEKIA BATUJAJAR Ernawati, Tati; Syams, Fawwaz Muhammad; Sugianto, Castaka Agus; Rohmayani, Dini; Ekawati, Nia; Tresnawati, Shandy
PUAN INDONESIA Vol. 7 No. 1 (2025): Jurnal PUAN Indonesia Vol. 7 No. 1 Juli 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i1.371

Abstract

The development of information technology in graphic design has opened many opportunities for vocational high school students to acquire skills that will be used in the workplace. This program aims to provide comprehensive training covering theoretical and practical aspects of product poster design using the Canva application for class X office automation and management students at SMK Cendekia Batujajar. The training method combines face-to-face learning, technical demonstrations, and hands-on practicum sessions. The activity was conducted on May 7, 2025, involving 37 students (4 male, 33 female) in the school's computer laboratory. The training materials covered product poster concepts, design functions in business, basic graphic design principles and introduction to Canva usage. Evaluation was conducted through online quizzes using Kahoot.it and practical design assignments. The results showed high participant enthusiasm evidenced by active discussions with instructors and utilization of break time for additional practicum. The school provided positive feedback and expressed hope for similar activities in the future. This training successfully enhanced students' graphic design competencies and provided new knowledge about design concepts and principles in poster creation.
Sentiment Analysis of Quizizz Application User Reviews Using Logistic Regression Algorithm Aditya, Ari; Tresnawati, Shandy
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7292

Abstract

Digital learning applications like Quizizz are increasingly popular for offering interactive learning experiences. As user numbers grow, so do the reviews on platforms like Google Play Store, reflecting user perceptions of app quality. This study aims to analyze user review sentiment toward the Quizizz application using the Logistic Regression algorithm. The data consists of Indonesian-language reviews collected from March to December 2024. The analysis process includes text preprocessing using the Sastrawi library, lexicon-based sentiment labeling, TF-IDF weighting, and classification using Logistic Regression. The model is evaluated using accuracy, precision, recall, and f1-score. The results show that most reviews are positive, and the model performs well in sentiment classification. These findings offer insights for developers to improve the app’s quality and user experience.
Sentiment Analysis Of Reading Difficulties In Grade 7 Secondary School Students Using The Support Vector Machine (SVM) Algorithm Algipari, Rasyid Zanuar; Tresnawati, Shandy
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7289

Abstract

The reading ability of junior high school students in Indonesia is still relatively low, as evidenced by the results of the National Assessment and the viral case of 29 grade VII junior high school students in Pangandaran who are not yet fluent in reading. This study aims to analyze public perception of this phenomenon through a sentiment analysis approach based on YouTube comment text and using the Support Vector Machine (SVM) algorithm. The steps of the SEMMA method are applied, starting with collecting comment data, preprocessing the text using dictionary-based methods and TF-IDF, and finally classification using SVM. The dataset used includes 1,055 comments. The results of the study show that the SVM algorithm is able to classify sentiment into three categories (positive, negative, and neutral) with an accuracy of 87%. These results indicate that the majority of people care about the quality of basic education. This study contributes to the computational understanding of public perception and can be used as a reference for data-based literacy guidelines.
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS MENGGUNAKAN VISUAL STUDIO 2013 DAN MYSQL PADA CV. PASIPA JAYA Tresnawati, Shandy; Fauzi, Findri
Journal of Economics, Accounting, Tax, and Management (JECATAMA) Vol 2 No 1 (2023): JECATAMA
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara, Cimahi 40513 Jawa Barat, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jecatama.v2i1.691

Abstract

This study aims to analyze, design, implement and test the accounting information system for cash receipts and expenditures using visual studio 2013 and MySQL. The method used is a qualitative research method with System Development Life Cycle (SDLC). Data collection techniques in this study used observation techniques, interviews, and literature studies. The analysis is carried out using the PIECES method. Design and implementation of accounting information system for cash receipts and expenditures using Visual Studio 2013 and MySQL and information reports with Crystal Report. System testing is carried out with a User Acceptance Test (UAT) with black-box testing techniques. This system can make it easier to enter data, make financial reports or other needs, and can maintain the integrity and accuracy of data.
Co-Authors Aditya, Ari Alfianti, Henny Algipari, Rasyid Zanuar Fauzi, Findri Ihsan Kamil, Ali Ihsan, Adrian Nur Iskandar, Rachmat Junia Rizqi, Kevin Latifah, Indah Nia Ekawati, Nia Novita Lestari Anggreini Pratama, Alfian Raafidiani, Reni Rohmayani, Dini Siddiq, Maulana Fadjar Sugianto, Castaka Agus Syafwan, Elvathna Syafwan, Mahdhivan Syams, Fawwaz Muhammad Syani, Mamay Tati Ernawati Tiara, Cica Wulandari, Ratna Rizky