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Mengembangkan Chatbot Empatik untuk Dukungan Kesehatan Mental: Solusi Inovatif dalam Pendampingan Psikologis Putra, Cendra Devayana; Prayoga, Riza Akhsani Setyo; Cinthya, Monica; Basatha, Rizky; Akbar, Muhammad Sonhaji; Elfaiz, Ersha Aisyah
Jurnal Ilmu Komputer dan Multimedia Vol. 1 No. 2 (2024): ILKOMEDIA Edisi Desember 2024
Publisher : Akademi Komunitas Negeri Putra Sang Fajar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46510/ilkomedia.v1i2.19

Abstract

Studi ini merupakan langkah maju yang penting dalam pengembangan sistem dialog kesehatan mental, yang membahas pengaruh besar kesehatan mental terhadap fungsi manusia dan terbatasnya ketersediaan psikolog untuk memberikan dukungan. Studi ini menyediakan kumpulan data baru yang menggunakan analisis sentimen untuk mengevaluasi respons. Dengan menyadari pentingnya respons emosional dalam meningkatkan pengalaman pengguna, studi ini menganalisis respons sentimen menggunakan berbagai algoritme kategorisasi sentimen yang umum digunakan. Lebih jauh, penelitian ini mengusulkan paradigma urutan ke urutan untuk membahas masalah dialog kesehatan mental, dengan fokus pada penyertaan kesadaran tahap. Model ini bekerja dengan sangat baik di beberapa fase wacana, yang menegaskan keefektifannya di bidang kesehatan mental. Meskipun penelitian ini masih dalam tahap awal, penelitian ini meletakkan dasar untuk pengembangan sistem diskusi yang berkaitan dengan kesehatan mental. Metode yang kami usulkan dapat meningkatkan skor F-1 rata-rata sebesar 0,6%. Studi mendatang akan menyelidiki beberapa pendekatan, seperti pembelajaran transfer, model multidialog, dan analisis sentimen dalam kerangka seq-to-seq. Model yang diusulkan dimaksudkan untuk menjadi standar untuk mengevaluasi sistem diskusi multi-tahap dalam penelitian masa mendatang.
Pemerataan Infrastruktur Telekomunikasi untuk Kesejahteraan Digital Suseno, Tarangga Atha Putra; Moh, Andi Luthfi; Prayoga, Riza Akhsani Setyo; Bagaskara, Dominggo Bayu
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 1 (2023): PROSIDING NSEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i1.3399

Abstract

Infrastruktur telekomunikasi memainkan peran sentral dalam mendukung perkembangan teknologi informasi dan komunikasi (TIK) yang semakin pesat. Dalam era digital saat ini, kebutuhan akan infrastruktur telekomunikasi yang handal dan canggih menjadi semakin penting. Infrastruktur telekomunikasi yang kuat dan terjangkau memberikan landasan yang vital untuk konektivitas, akses informasi, dan pertumbuhan ekonomi. Namun, tantangan besar juga dihadapi dalam membangun infrastruktur telekomunikasi yang inklusif dan merata di seluruh wilayah, terutama di daerah yang terpencil atau terbelakang. Ketimpangan perekonomian regional yang muncul akibat ketidakmerataan infrastruktur telekomunikasi juga menjadi isu yang memerlukan perhatian serius. Dalam menghadapi tantangan ini, diperlukan strategi yang komprehensif dan kolaboratif untuk memperkuat infrastruktur telekomunikasi, memperluas jangkauan, meningkatkan kapasitas, dan memastikan aksesibilitas yang adil. Selain itu, dengan kemajuan teknologi seperti jaringan 5G, Internet of Things (IoT), dan kecerdasan buatan (AI), peluang baru muncul untuk mempercepat transformasi digital melalui infrastruktur telekomunikasi yang inovatif.
Penguatan Literasi dan Strategi Deseminasi Efektif untuk Meningkatkan Kapasitas Mahasiswa Indonesia di Thailand Septiyanti, Nisa Dwi; Sujatmiko, Bambang; Basatha, Rizky; Akbar, Muhammad Sonhaji; Elfaiz, Ersha Aisyah; Wardah, Elvira; Habibi, Mohammad Wildan; Prayoga, Riza Akhsani Setyo; Zulatifa, Nelani Shafatia
Sivitas : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2026): Jurnal SIVITAS : Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Muttaqien Publishing Pusat Penelitian dan Pengabdian kepada Masyarakat STAI DR. KH.EZ. Muttaqien Purwakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52593/svs.06.1.07

Abstract

This community service program aimed to strengthen digital literacy and enhance effective information dissemination skills among Indonesian students in Thailand. The program was an implementation of the Tri Dharma Perguruan Tinggi by lecturers from the Information Technology Education Study Program, Universitas Negeri Surabaya. The results of the activity showed that the participants, Indonesian students in Thailand, already possessed a good level of digital literacy. Through this program, they gained a deeper understanding of the importance of applying digital literacy critically, ethically, and collaboratively, as well as realizing their strategic role as information bridges between the academic community abroad and society in Indonesia. Participants also demonstrated a strong commitment to acting as credible and integrity-driven agents of knowledge dissemination. The activity concluded with a reflection session, a group photo, and the signing of a Memorandum of Agreement (MoA) between Universitas Negeri Surabaya and the Indonesian Students Association in Thailand as a form of commitment to sustainable collaboration. Overall, this program made a tangible contribution to strengthening the culture of digital literacy, building cross-national academic networks, and reinforcing the role of Indonesian students abroad as responsible ambassadors of knowledge.
Peningkatan Literasi Digital dan Keamanan Berbasis Etika pada Guru: Studi Kasus Sosialisasi Etika dan Keamanan Media Sosial di SMA Negeri 1 Batu Muhammad Sonhaji Akbar; Rizky Basatha; Bambang Sujatmiko; Riza Akhsani Setyo Prayoga; Ersha Aisyah Elfaiz
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v5i2.1370

Abstract

Kegiatan pengabdian masyarakat ini bertujuan meningkatkan literasi digital dan praktik keamanan bermedia sosial yang berorientasi etika bagi guru di SMA Negeri 1 Batu. Kegiatan dilaksanakan secara tatap muka pada 16 Juni 2025 dengan partisipasi sekitar 40 guru. Pendekatan yang digunakan berupa sosialisasi dan pelatihan aplikatif (workshop) berdurasi ±2,5 jam yang mengintegrasikan paparan konseptual, demonstrasi teknis (manajemen kata sandi, pengaturan privasi, verifikasi dua langkah, serta identifikasi serangan phishing), dan diskusi studi kasus. Evaluasi dilaksanakan melalui instrumen pre-test dan post-test yang dilengkapi kuesioner umpan balik untuk mengukur perubahan pengetahuan dan kesiapan penerapan. Hasil evaluasi menunjukkan adanya peningkatan pemahaman konseptual serta kesiapan praktis peserta dalam menerapkan langkah-langkah keamanan digital dasar, disertai respons positif terhadap relevansi dan aplikabilitas materi. Peserta mengusulkan perluasan cakupan materi misalnya aspek tindak pidana siber dan pemanfaatan kecerdasan buatan dalam konteks pendidikan serta rekomendasi untuk mekanisme pendampingan berkala. Kesimpulannya, intervensi ini efektif dalam meningkatkan kesadaran etika dan kapasitas dasar keamanan digital di kalangan guru; untuk memastikan keberlanjutan dan penguatan kompetensi, disarankan pengembangan modul lanjutan, monitoring berkala, dan evaluasi kuantitatif yang lebih komprehensif.
PERENCANAAN ARSITEKTUR VISI DI RUMAH SAKIT TNI AU SOEMITRO MENGGUNAKAN PENDEKATAN TOGAF ADM 9.2 Birgita Yolanda Hermawan; Riza Akhsani Prayoga; Raulia Riski
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 7 No. 2 (2024): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v7i2.3375

Abstract

The development of information technology (IT) has brought significant changes in various industries, including the health sector. This research focuses on architectural business planning at the Soemitro Air Force Hospital using the TOGAF ADM 9.2 approach. Even though this hospital has implemented an Electronic Medical Record (E-MR) system, various problems such as poor integration, data duplication, and input errors still hamper operational performance. The aim of this research is to develop a comprehensive architectural business to improve operational efficiency and quality of hospital services. This study begins with an evaluation of the hospital's business and strategic needs, followed by careful planning in accordance with the IS/IT strategy. The use of the TOGAF ADM framework was chosen because of its flexibility and opensource nature, which facilitates the development of an optimal organizational architecture. It is hoped that the research results will provide guidance for hospitals in integrating information technology with their business processes, increasing productivity and improving the quality of health services. Thus, this research not only contributes to information technology management in the health sector but also enriches understanding of the effective and efficient implementation of architecture vision in the hospital context. Implementing a proper IS/IT strategy is expected to align hospital IT needs with business process demands, reduce errors and data duplication, and increase patient satisfaction. This research underlines the importance of strategic planning in information vision development to achieve long-term organizational success.
ANALISIS KUALITAS LAYANAN E-HEALTH SURABAYA: PENDEKATAN INTEGRATIF E-SERVQUAL DAN IMPORTANCE PERFORMANCE ANALYSIS (IPA) Muhammad Iqbal Hafish Setiawan; Riza Akhsani Setyo Prayoga; Aris Kusumawati
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 7 No. 2 (2024): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v7i2.3409

Abstract

I In an effort to improve health services, Surabaya City Health Service provides an innovation through the implementation of the E-Health system. E-Health is an information technology development that aims to provide a service system in the form of an online queue for patients at Surabaya health centers and hospitals. Based on the findings that have been made, there are several complaints about E-Health, which can impact the level of patient satisfaction with their experience using E-Health services. E-Health is part of an online-based service system, so the E-Servqual method is used. Additionally, the IPA approach used in this research identified the key attributes that need improvement to maximize user satisfaction and display priorities for improvement, allowing for a clearer view of which areas require immediate attention and action to improve the overall quality of E-Health services. The results of the research show that all dimensions still have measurable negative gap values, indicating specific areas where service quality does not meet user expectations. Specifically, the quality of service is rated at 0.86, which is less than 1, signifying that there are still aspects of the E-Health service that need enhancement. The attributes included in Quadrant I priority improvements on the Cartesian Importance Performance Analysis diagram are E4, E3, C4, P1, and RE4. Therefore, it is necessary to immediately address these main priorities so that E-Health services can be optimized and more satisfactory for users.
Application of Naïve Bayes Method for Assessing Student Performance Riza Akhsani Setyo Prayoga; Fauzan Nusyura; Fiddin Yusfida A’la; Mustafa Kamal; Farhanna Mar'i
Journal of Advances in Information and Industrial Technology Vol. 8 No. 1 (2026): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v8i1.771

Abstract

Every school has pupils with varying levels of achievement. These differences in achievement can be influenced by several factors, such as the parents’ level of education and the pupils’ readiness for examinations. Furthermore, they can also be influenced by pupils’ abilities in mathematics, writing, and reading. The aim of this study is to classify student performance so that the performance of students at an adequate level or below average can be improved. The method used in this study is Naïve Bayes as a classification method. There are 150 training data points and 50 test data points. Five metrics were evaluated: precision at 94.4%, recall at 94.4%, specificity at 50%, accuracy at 90%, and the F1 score at 94%. This indicates that the model performs well in providing accurate positive predictions. Furthermore, the model is capable of detecting the majority of positive cases effectively.
Stock Price Prediction Using Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) Methods Riza Akhsani Setyo Prayoga; Fery Almas Ariansyah; Muhammad Falikhuddin Daffa; Laqma Dica Fitrani; Masti Fatchiyah Maharani; Angga Lisdiyanto; Steven Angkawidjaja
IJCONSIST JOURNALS Vol 7 No 1 (2025): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i1.158

Abstract

This research aims to improve the accuracy of stock price prediction through the application of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) methods, focusing on stocks from the Composite Stock Price Index (CSPI) referred to as the IDX Composite. The research process includes comprehensive steps, including data collection and preprocessing, dataset creation with emphasis on stock closing prices, and division of the dataset into training and test data. The LSTM and GRU models were designed with a recurrent layer and a Dense layer and then trained for 100 epochs with a batch size of 32. Model evaluation was performed by comparing key metrics such as Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Error (MAE) on the test set. The EPOCH-RMSE graph provides an overview of the changes in the RMSE value during training. The best result of the LSTM model was achieved at the 96th epoch with RMSE 40.36, MSE 1385.97, and MAE 30.09, while GRU achieved peak performance at the 92nd epoch with RMSE 37.33, MSE 908.29, and MAE 25.42. In conclusion, GRU can be considered as a more effective option in predicting JCI stock prices based on performance evaluation using various metrics such as RMSE, MSE, and MAE.
Pengembangan LMS dengan Integrasi GitHub Classroom Berbasis PjBL untuk Meningkatkan kompetensi Siswa pada Elemen Pemrograman Website Lia Dwi Rusanti; Ersha Aisyah Elfaiz; Elvira Wardah; Riza Akhsani Setyo Prayoga
Jurnal Penelitian Inovatif Vol 6 No 3 (2026): JUPIN Agustus 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.2641

Abstract

Praktik pemrograman pada Elemen Pemrograman Website telah dilakukan melalui pemberian tugas. Namun, proses pengerjaan kode siswa belum terdokumentasi secara sistematis, umpan balik yang diberikan guru masih terbatas, serta guru mengalami kesulitan dalam memantau perkembangan pengerjaan proyek siswa. Kondisi tersebut berdampak pada pencapaian kompetensi siswa pada Elemen Pemrograman Website. Penelitian ini memiliki tujuan mengembangkan LMS dengan integrasi GitHub Classroom berbasis PjBL dan menganalisis peningkatan kompetensi Elemen Pemrograman Website menggunakan LMS dengan integrasi GitHub Classroom berbasis PjBL. Kebaruan penelitian terletak pada integrasi GitHub Classroom dengan LMS sebagai sarana dokumentasi pengerjaan proyek, pemantauan progres, dan pemberian umpan balik terhadap kode program siswa. Metode yang diterapkan dalam penelitian ini adalah Research and Development (R&D) dengan mengadopsi model pengembangan ADDIE yang mencakup tahap Analysis, Design, Development, Implementation, dan Evaluation. Implementasi produk dilakukan menggunakan metode eksperimen dengan desain One Group Pretest-Posttest Design yang melibatkan 36 siswa kelas XI RPL 2 SMKN 1 Kertosono sebagai sampel penelitian. Hasil validasi menunjukkan bahwa LMS yang dikembangkan memenuhi kriteria sangat valid sehingga layak digunakan dalam pembelajaran. Data pretest-posttest siswa dianalisis melalui uji hipotesis dan uji N-Gain dengan uji prasyarat analisis berupa uji normalitas. Hasil pengujian hipotesis menunjukkan pada ranah kognitif memperoleh nilai signifikansi 0,000 < 0,05 dengan nilai N-Gain sebesar 0,579 kategori sedang dan keterampilan unjuk kerja didapatkan nilai signifikansinya 0,001 < 0,05 dengan nilai N-Gain sebesar 0,378 kategori sedang. Simpulan dari penelitian ini mengindikasikan adanya peningkatan kompetensi elemen pemrograman website siswa setelah penerapan LMS dengan integrasi GitHub Classroom berbasis PjBL.
Analisis Sentimen Performansi Operator Telekomunikasi di Indonesia Menggunakan Metode Text Mining Ersha Aisyah Elfaiz; Riza Akhsani Setyo Prayoga; Monica Cinthya; Muhammad Sonhaji Akbar; Rizky Basatha
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4024

Abstract

The telecommunications sector in Indonesia has experienced rapid development in recent years, characterized by the increasing number of telecommunications operators offering various services and products. Therefore, there is competitive rivalry among operators. The right strategy is needed to survive and compete effectively. One of the efforts that can be made by telecommunication companies is to evaluate operational performance. This research aims to analyze the sentiment of X users towards telecommunication operational performance, at Telkomsel and Tri operators using text mining methods, namely Naïve Bayes, Support Vector Machine (SVM) and Decision Tree Learning (DTL). The research data is obtained by crawling from the X application, then the data is processed to remove unnecessary words or affixes. Then data modeling and validation is carried out using split validation and cross validation techniques. In the split validation technique, the data is divided into 70% training data and 30% testing data, while in the cross-validation technique the fold parameter is set to determine which fold has the highest accuracy. The results of the study show that the SVM method has the highest accuracy, where in split validation the accuracy is 84.29% for Telkomsel data and 75.70% for Tri data. Similarly, in cross validation, the accuracy is 82.15% on fold 4, 7 for Telkomsel data and 61.41% on fold 9 for Tri data. In addition, it is known that Telkomsel data has 18.64% positive sentiment and 81.36% negative sentiment. While Tri data has 61.11% positive sentiment and 38.89% negative sentiment.
Co-Authors Achmad Muzakki Adinda Ayu Shavira Adzanil Rachmadhi Putra Adzanil Rachmadi Putra Ahmad Wali Satria Bahari Johan Akbar, Muhammad Sonhaji Angga Lisdiyanto Anjas Ardiansyah, Muhammad Ardhini Warih Utami, Ardhini Warih Aris Kusumawati Aris Kusumawati Aryawangi Rahmawanto Asep Syahrul Mubarok Asep Syahrul Mubarok Azhar, Astari Shofaatul A’la, Fiddin Yusfida Bagaskara, Dominggo Bayu Bambang Sujatmiko BAMBANG SUJATMIKO Birgita Yolanda Hermawan Cendra Devayana Putra Cinthya, Monica Dahliar Ananda Devandro Alifiano Dewi Rahmawati Dwi Ardhani, Yuniar Dwi Hariyanto, Muhammad Dwi, I Kadek Edwyn Wahyu Prasetya Elfaiz, Ersha Aisyah Elvira Wardah Ersha Aisyah Elfaiz Ersha Aisyah Elfaiz Fajrul Fallah Arrafi Fandisya Rahman Farhanna Mar&#039;i Fauzan Nusyura Fauzan Nusyura Fauzan Nusyura Fery Almas Ariansyah Fiddin Yusfida A’la Fitrani, Laqma Dica Harun Al Rosyid Husna Lathifunisa Arif Ichsan Khoirudin, Machfud Istiyanto, Noerma Pudji Jenny Ghifrina Kelvin Dwi Pranata Sembiring Kharisma Monika Dian Pertiwi Laqma Dica Fitrani Larasati, Fannijara Enggar Lia Dwi Rusanti M. Ghouzul A’dhom Machfud Ichsan Khoirudin Machfud Ichsan Khoirudin Maharani, Masti Fatchiyah Mastuty Ayu Ningtyas Moh, Andi Luthfi Mohammad Sholik Mohammad Wildan Habibi Mohammad Wildan Habibi, Mohammad Wildan Monica Cinthya Mubarok, Asep Syahrul Muhammad Anjas Ardiansyah Muhammad Falikhuddin Daffa Muhammad Farhan Abdillah Sholeh Muhammad Ilham Alhari Muhammad Iqbal Hafish Setiawan Muhammad Nasrullah Muhammad Rashid Syaputra Muhammad Sonhaji Akbar Muhammad Sonhaji Akbar Muhammad Taufikurrahaman Mustafa Kamal Mustafa Kamal Nadia Alfi Ni’amah Nicko Nur Rakhmaddian Nicko Nur Rakhmaddian, Nicko Nur Nisa Dwi Septiyanti Nugraha, Bintang Rassya Pratiwi Susanti Rahmatul Ummah Rashid Syaputra, Muhammad Raulia Riski Rizky Basatha Rizky Basatha Rizky Fenaldo Maulana Rosyid Abdilah Sekar Widyasari Putri Shanaya Lubna Dio Steven Angkawidjaja Suseno, Tarangga Atha Putra Tanzilal Mustaqim Titus Kristanto Tracy Olivia Vagnes Angela Wachda Yuniar Rochmah Wahyuddin S Wardah, Elvira Yayu Melani Safitri Karoho Yohanes Setiawan Yohanes Setiawan Zulatifa, Nelani Shafatia