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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIN (Jurnal Online Informatika) Format : Jurnal Imiah Teknik Informatika Jurnal Informatika Jurnal Ilmiah FIFO Information Management For Educators And Professionals (IMBI) Jurnal Teknoinfo Petir IKRA-ITH ABDIMAS Journals of Ners Community Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat CSRID (Computer Science Research and Its Development Journal) CCIT (Creative Communication and Innovative Technology) Journal JSAI (Journal Scientific and Applied Informatics) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Abdi Masyarakat (JAM) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ners Indonesian Journal of Electrical Engineering and Computer Science TIN: TERAPAN INFORMATIKA NUSANTARA Indonesian Journal of Society Engagement (IJSE) Instal : Jurnal Komputer Jurnal Inovasi Penelitian dan Pengabdian Masyarakat TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat J-Intech (Journal of Information and Technology) Jurnal Informatika Teknologi dan Sains (Jinteks) Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Tera Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Journal of Farming and Agriculture Jurnal Bima Riau Jurnal Teknik Informatika Journal of Information Technology
Desi Ramayanti
Universitas Dian Nusantara
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Journal : JSAI (Journal Scientific and Applied Informatics)

 1 
Implementasi Model Arsitektur VGG16 dan MobileNetV2 Untuk Klasifikasi Citra Kupu-Kupu Desi Ramayanti; Sri Dianing Asri; Lionie Lionie
JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v5i3.2864

Abstract

Untuk mengurangi populasi kupu-kupu, perlu adanya strategi untuk memantau jumlah dan spesies yang ada pada masing-masing ekosistem. Peran teknologi dapat membantu dalam proses ini, misalnya pengembangan sistem e-Butterfly untuk mengumpulkan gambar spesies kupu-kupu dari berbagai wilayah sehingga dapat diketahui jenis spesies yang masih ada dan letak wilayah hidupnya. Identifikasi spesies kupu-kupu dapat dilakukan dan dibantu oleh komputer dengan serangkaian proses lebih spesifik pada cabang ilmu machine learning dan image processing. Tujuan dari penelitian ini adalah untuk mengetahui kinerja (performance) dari model model arsitektur VGG16 dan MobileNetV2 untuk klasifikasi citra gambar kupu-kupu berdasarkan hasil ekstraksi fitur pada citra gambar tersebut. Dataset penelitian berisi 4955 gambar yang kemudian diberi label 50 butterfly species dengan ukuran 224 X 224 X 3. Akurasi terbaik diperoleh MobileNetV2 tanpa fine-tuning yaitu mencapai presentase 96%, dilanjutkan dengan VGG16 dengan fine-tuning, MobileNetV2 dengan fine-tuning, dan akurasi testing paling kecil diperoleh VGG16 tanpa fine-tuning. Untuk nilai precision, recall, F1-Score, dan Cohens Kappa lebih tinggi diperoleh model MobileNetV2 tanpa fine tuning, hal ini menunjukkan bahwa MobileNetV2 tanpa fine tuning lebih imbang dalam akurasi tiap kelasnya.
ANALISIS DAN PENINGKATAN KUALITAS LAYANAN PADA JARINGAN KOMPUTER NIRKABEL BADAN PENGHUBUNG LAMPUNG DALAM MENDUKUNG TUGAS PEMERINTAHAN: Bahasa Indonesia Desi Ramayanti; Syarifudin
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 1 (2024): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i1.5529

Abstract

This study aims to evaluate the quality of internet network in Badan Penghubung Lampung using the TIPHON standard. The assessment is conducted by measuring several network performance parameters, including bandwidth, throughput, delay, and packet loss. The measurements are carried out for four days during office hours using the Axence Nettools 5 and speedtest.net applications. The collected data is then analyzed to obtain the average values for each parameter. The measurement results indicate that the overall quality of the internet network in Badan Penghubung Lampung is classified as very good. The average throughput value is 1,636 Kbps, which exceeds the TIPHON standard. The delay parameter has an average of 40.17 ms, which also meets the TIPHON standard. Meanwhile, the packet loss has an average of 2.75%, which is well below the maximum limit set by the TIPHON standard. However, this study also shows that the throughput value can be influenced by varying weather conditions, with the lowest data transfer speed occurring on the last day of the study. Therefore, for a more comprehensive evaluation of network quality, it is recommended to consider other parameters such as jitter, reliability, and availability.
Analisis Kualitas Jaringan Internet di Gedung Guntur: Studi Kasus pada Tenant Call Center PT Jasnita Telekomindo Thoriq Zibaltar; Desi Ramayanti
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.5531

Abstract

This research aims to measure the quality of the internet network in Gedung Guntur, which is owned by PT Jasnita Telekomindo and houses a call center tenant. The staff of the call center have complained about the slow internet connection when inputting reports in the CRM system and making phone calls to customers. Therefore, this research is conducted to measure network parameters, such as throughput, delay, and packet loss, by implementing Quality of Service (QoS) on voice and CRM data. The measurement is performed using Axence Net Tools 5 software. The results of the testing show that the bandwidth parameter has a value of 3.086 Kbps, throughput has a value of 1.918 Kbps, delay has a value of 1 ms, and packet loss has a value of 0%. If these test results are compared with the TIPHON standard, the parameters achieve an index of 4, indicating excellent network quality. This research provides a clearer understanding of the quality of the internet network in Gedung Guntur and indicates that the network meets the TIPHON standard. The results of this research can be used as a basis for identifying necessary improvement or enhancement measures to improve the service quality in Gedung Guntur.
Model Extreme Gradient Boosting Berbasis Term Frequency (TFXGBoost) Untuk Klasifikasi Laporan Pengaduan Masyarakat Vina Ayumi; Desi Ramayanti; Handrie Noprisson; Yuwan Jumaryadi; Umniy Salamah
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 1 (2023): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i1.6089

Abstract

Various algorithms and machine learning techniques are being applied to improve the efficiency and effectiveness of the process of automatically classifying complaint reports from the public in Indonesia. One machine learning algorithm that has recently gained benchmarks in the state of the art of various problems in machine learning is eXtreme Gradient Boosting (XGBoost). This study aims to develop an extreme gradient boosting model based on term frequency (TFXGBoost) to predict whether a text is classified as a complaint or not a complaint based on the data studied. Based on the experimental results, TFXGBoost achieved 92.79% accuracy with eta / learning rate hyperparameters of 0.5, gamma of 0, and max_depth of 3 and the computation time required to adjust the hyperparameters was 13870.012468 seconds.
Pengaruh Tuning Parameter dan Cross Validation Pada Klasifikasi Teks Komplain Bahasa Indonesia Menggunakan Algoritma Support Vector Machine Vina Ayumi; Desi Ramayanti; Handrie Noprisson; Anita Ratnasari; Umniy Salamah
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.6117

Abstract

Text classification aims to group text data, for example, to find some information from a large social media text dataset so that it can be used by the data owner. Manual text classification is time-consuming and difficult, so some researchers try to research text classification automatically. This study attempts to classify Indonesian text datasets using the SVM algorithm. The research was conducted in two stages, namely the first experiment without cross validation parameters and parameter tuning, then the second experiment was carried out with cross validation parameters and parameter tuning. Experiments without cross validation parameters and parameter tuning for support vector machines (SVM) obtained 89.47% accuracy with precision and recall values of 0.90 and 0.89 respectively. The second experiment used cross validation with k-5 and k-10 and tuning parameters with C constant and gamma values. Cross validation results with k-10 obtained the best accuracy with a value of 96.48% with a computation time of 40.118 seconds. Next, kernel functions in tuning parameters namely sigmoid, linear and radial basis functions are analyzed and it is found that sigmoid kernel functions achieve the best accuracy and computational time.
Studi Literatur Pemodelan Smart-Posyandu sebagai Platform Pengawasan dan Pencegahan Stunting pada Anak Ramayanti, Desi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.5939

Abstract

This study examines the implementation of the Smart-Posyandu platform as an innovative solution for monitoring and controlling stunting in children under five years old (toddlers) in Indonesia. The primary focus is on addressing the challenge of stunting, an indicator of developmental failure in toddlers, often caused by inadequate nutrition and repeated infections. The research findings indicate that the implementation of Smart-Posyandu, with features such as monitoring child growth, managing nutritional status, educating pregnant women on nutrition, and integrating with health services, can enhance the effectiveness of monitoring and intervening in stunting. The study also highlights the importance of collaboration among healthcare workers, the community, and the government in stunting prevention efforts. Recommendations include field implementation of the application, raising community awareness, integrating health systems, developing technology, and strategic collaboration. These findings contribute to the knowledge of applying information technology in public health and support the vision of Smart Government development in Indonesia, particularly in efforts to improve toddler health and reduce stunting.
Perancangan dan Implementasi Sistem Aplikasi untuk Meningkatkan Efisiensi dan Efektivitas Kegiatan Lembaga Riset dan Pengabdian Masyarakat (LRPM) Ramayanti, Desi; Hidayat, Ryan; Hanafi, Muhammad; Apriani, Ari
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6255

Abstract

This study aims to develop an efficient and effective information system for the Research and Community Service Institute (LRPM) using the Rapid Application Development (RAD) method. RAD was chosen for its capability to produce rapid system development with iterations that allow adaptation to changing needs. The research methodology includes planning, design, implementation, and system testing. The system development involved the use of PHP with Laravel as the framework and MySQL as the database. The results indicate that the developed LRPM information system successfully met all the predefined functional requirements, including modules for login, registration, proposal submission, proposal tracking, and data management by the admin. System testing using the black box testing method resulted in a functionality score of 100%, indicating that the system operates according to expectations and is ready for use. This system is expected to improve efficiency and effectiveness in managing research and community service activities at LRPM.
PENGEMBANGAN PLATFORM WEB LAYANAN OUTSOURCING DAN MANAJEMEN KARYAWAN: Pengembangan Platform Website Layanan Outsourcing Manajemen Karyawan PT.Buntariva Mitra Solusi Cofely, Chinoble; Ramayanti, Desi
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8741

Abstract

PT. Buntariva Mitra Solusi, which is engaged in providing services, faces significant problems due to the use of manual systems in managing service requests, employee data, and evaluating service provider performance, which causes delays in the process and decreases the level of client trust. This study aims to design and implement an integrated web platform that is able to automate and unify all of the company's main business processes, including service request management, employee data management, contract arrangements, and real-time monitoring and evaluation of service provider performance. The development method applied is the Software Development Life Cycle (SDLC) with a waterfall model, which allows for systematic and structured project management. The platform implementation is carried out using the PHP programming language, MySQL database, and Apache as a web server. System testing is carried out using the Black Box method to ensure that all functions run according to specifications without any significant errors. The test results show that the system can increase transparency, speed up operational processes, and provide easy access to information for management and clients.
Studi Pendahuluan: Evaluasi Kualitas Layanan Komunikasi di Lingkungan Akademik Menggunakan Analisis Sentimen Ramayanti, Desi; Mulya, Imam; Ratnasari, Anita; Dianing Asri, Sri; Maulana, Ivan; Rizal, Muhammad
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8765

Abstract

Google Chat was used in the Faculty of Engineering and Informatics to support academic and non-academic collaboration, with advantages such as real-time, structured communication that is easily accessible by lecturers, students, and administrative staff. This study aimed to analyze the sentiment of Google Chat conversations using the support vector machine (SVM) model to categorize sentiment into positive, negative, and neutral. The data preprocessing process included tokenization, stemming, stop words removal, and text cleaning, using Python with NLTK, Scikit-learn, and Pandas libraries. The study adopted a quantitative approach to analyze sentiment patterns from Google Chat conversations about the quality of services at the Faculty of Engineering and Informatics, as well as experiments to develop and test machine learning models. The preliminary study showed a dataset of 3,735 cleaned data, with invalid or empty elements removed. The data was then categorized into three sentiments: positive, negative, and neutral, based on sentiment analysis of communication text related to services in the academic environment. The next research will focus on selecting the appropriate classification model to provide accurate assessments of the faculty’s service quality.
Co-Authors Abdillah, Aditya Nur Abdul Wahab Nashir Ade Dwi Putra Ajrullah, Ajrullah Amiroh Amiroh, Amiroh Anita Ratnasari Anrie Suryaningrat Anrie Suryaningrat Apriani, Ari Aprianto, Aditya Dwi Ardianto, Darmawan Aris Sunandar Armita Athennia Asyifah, Nurul Ayumi, Vina Badru Salam Bathin, Muhammad Sholeh Bias Yulisa Geni Borneo Satria Pratama C Achmad Fahrudin Christian Hovel Simanjuntak Cofely, Chinoble Daim Muhammad Gufron Dariato, Eri Dianing Asri, Sri Diky Firdaus Dio Dava Ramadha Dion Sakti, Arman Elvaresia, Meysiel Faishal, Imam Ibnu Frianto, Dody Gatsu, Puspita Geni, Bias Yulisa Glen Maxi Taberima Glen Maxie Taberima Hadi, Solihul Hariyanto Aditya Ramadhan Hutapea, Natalia Ida Nurhaida Imam Nududdin Indah Setyorini Jalaludin, Jalaludin Juliansyah, Yahya Maulana Jumaryadi, Yuwan Kartika, amalia Kolidi Kolidi Komarudin Komarudin Komarudin Lestari, Fitri Dwi Lionie Lionie M.Rizky Alfariz Maula Thoman Sihotang Maulana, Ivan Mohammad Bakhriansyah Muhamad Sony Pratama Muhammad Hanafi MUHAMMAD RIZAL Muhammad Yusuf Hiqmal Miko Mulya, Imam Mustofa, Achmmad N Narsih Nelly Al Audhah Noprisson, Handrie Nur Ani Panji Pratama Kurniawan Priyanto, Mei Rendy Purnama, Giri Ramadhan, Hariyanto Aditya Robby Cahyadi Rony, Zahara Tussoleha Rudiarto, Sabar S Saniah Salamah, Umniy Samuel Aras Michael Saputra, M Julius Saputra, Vega Sarwati Rahayu SEPTIANITA Setyorini, Indah Shadiqi , Muhammad Abdan Shintya Dewi, Marysca Sri Andriati Asri Sri Dianing Asri Sukerman Suryaningrat, Anrie Susanto, Dwi Andrian Syarifudin Thoriq Zibaltar Tri Damayanti Wawan Gunawan Weni Indri Yanti Widyadi Setiawan Y. Erning Indrastuti YOHANA TRI UTAMI, YOHANA TRI yulisa geni, bias Yuliyanti, Ervina Zoelkarnain, Izaak