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All Journal Teknika Jupiter PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) International Journal of Artificial Intelligence Research Jurnal CoreIT Prosiding Seminar Nasional Darmajaya Jurnal Sinergitas PkM & CSR Jurnal Teknologi Informasi MURA Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Tekno Kompak Building of Informatics, Technology and Science JPGMI (Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Multazam) Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian kepada Masyarakat Jurnal Sains Teknologi dan Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Mandiri NEAR: Jurnal Pengabdian kepada Masyarakat SIENNA Jurnal Indonesia Sosial Sains Jurnal Ilmu Komputer, Sistem Informasi, Teknik Informatika (JILKOMSITI) Jurnal Ilmiah ESAI Jurnal Teknologi Informasi Mura Scientica: Jurnal Ilmiah Sains dan Teknologi Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora International Journal of Computer Technology and Science Journal of Software Engineering And Technology IJISCS (International Journal of Information System and Computer Science)
Sutedi Sutedi
IIB Darmajaya
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Pelatihan Teachy AI untuk Peningkatan Kompetensi Guru SMA se-Provinsi Lampung: Training Program on Utilizing Teachy AI to Elevate the Skills of High School Teachers in Lampung Province Agarina, Melda; Susanti, Susanti; Karim, Arman Suryadi; Sutedi, Sutedi; Purnomo, Hendri; Rinaldo, Reyhandoni
DARMADIKSANI Vol 5 No 4 (2025): Edisi Desember
Publisher : Jurusan Pendidikan Bahasa dan Seni, FKIP, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/7bqcc998

Abstract

Perkembangan teknologi Artificial Intelligence (AI) dalam dunia pendidikan menuntut guru untuk memiliki literasi digital dan kemampuan merancang pembelajaran inovatif. Namun, kondisi di provinsi Lampung menunjukkan bahwa sebagian besar guru SMA belum memiliki pengetahuan dan keterampilan yang memadai dalam pemanfaatan AI, khususnya dalam perancangan pembelajaran berbasis Pembelajaran Mendalam (Deep Learning). Minimnya pelatihan dan keterbatasan infrastruktur di beberapa wilayah semakin memperlebar kesenjangan pemanfaatan teknologi antara guru dan peserta. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kompetensi guru matapelajaran Sosiologi yang tergabung dalam MGMP Sosiologi di provinsi Lampung melalui pelatihan penggunaan aplikasi Teachy AI dalam menyusun Rencana Pelaksanaan Pembelajaran (RPP) yang adaptif dan kontekstual. Metode pelatihan dilakukan secara tatap muka dan praktik langsung, yang meliputi pengenalan AI, penggunaan Teachy AI, serta penyusunan RPP berbasis AI. Evaluasi dilakukan dengan membandingkan tingkat kompetensi guru sebelum dan sesudah pelatihan. Hasil kegiatan menunjukkan peningkatan signifikan pada literasi digital, keterampilan pedagogis, dan kemampuan integrasi AI ke dalam pembelajaran. Luaran kegiatan berupa RPP inovatif berbasis Deep Learning, publikasi ilmiah, dan diseminasi media. Kegiatan ini diharapkan menjadi model peningkatan
Detection of SQL Injection Attack Using Machine Learning Based On Natural Language Processing Triloka, Joko; Hartono, Hartono; Sutedi, Sutedi
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.401 KB) | DOI: 10.29099/ijair.v6i2.355

Abstract

There has been a significant increase in the number of cyberattacks. This is not only happening in Indonesia, but also in many countries.  Thus, the issue of cyber attacks should receive attention and be interesting to study.  Regarding the explored security vulnerabilities, the Open Web Application Security Project has published the Top-10 website vulnerabilities. SQL Injection is still become one of the website vulnerabiliteis which is often exploited by attacker. This research has implemented and tested five algorithms. They are Naïve Bayes, Logistic Regression, Gradient Boosting, K-Nearest Neighbor, and Support Vector Machine. In addition, this study also uses natural language processing to increase the level of detection accuracy, as a part of text processing. Therefore, the main dataset was converted to corpus to make it easier to be analyzed. This process was carried out on feature enginering stage. This study used two datasets of SQL Injection. The first dataset was used to train the classifier, and the second dataset was used to test the performance of classifier. Based on the tests that have been carried out, the Support Vector Machine get the highest level of accuracy detection. The accuracy of detection is 0.9977 with 0,00100 micro seconds per query time of process. In performance testing, Support Vector Machine classifier can detect 99,37% of second dataset. Not only Support Vector Machine, the study have also revealed the detection accuracy level of further tested algorithms: K-Nearest Neighbor (0,9970), Logistic Refression (0,9960), Gradient Boosting (0,99477), and Naïve Bayes (0,9754).
Brain Tumor Detection On Magnetic Resonance Imaging Using Deep Neural Network Sutedi, Sutedi; Maulana, Muh Royan Fauzi; Agarina, Melda; Karim, Arman Suryadi; Nurfiana, Nurfiana
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1061

Abstract

Cancer is a heterogeneous disease that can attack all parts of the body. Cancer is caused by the abnormal and uncontrolled growth of body cells, resulting in damage to body tissue and the potential to cause death. Cancer is a type of malignant tumor that attacks the body, one of which is the brain. Every year there are 300 brain tumor patients in Indonesia, both adults and children. Generally, doctors use two methods to diagnose these tumors, namely: biopsy and magnetic resonance imaging (MRI). Although the use of biopsy is quite accurate in identifying brain tumors, the time required is relatively long, reaching 15 days. While using MRI is relatively fast, the resulting accuracy is low and depends on the experience of medical personnel. This research aims to develop a method for diagnosing brain tumors using MRI images to make it faster and more accurate. The method used in this research was a deep neural network with a convolutional neural network (CNN) architecture layer. This method was chosen because deep learning has the advantage of pattern recognition with a high level of accuracy and is directly proportional to the number of datasets. This study used a dataset of 300 MRI images with two-dimensional (2D) axial imaging. The metrics used as a basis for the performance of the deep neural network model are accuracy, sensitivity, specificity, precision, and dice similarity coefficient with the results of each metric, namely: 99.3%, 98.6%, 98%, 98%, 98.3%. The research results showed that a deep neural network can speed up the diagnosis of brain tumors with high accuracy within 0.2 seconds.Â
Klasifikasi Rambut Rontok Menggunakan Metode Naive Bayes Arif Hidayat; Sutedi, Sutedi
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 2 (2025): Oktober 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i2.5612

Abstract

Hair loss is a common problem experienced by various groups, both men and women. In 2023, a survey found that 64.7% of hair problems were hair loss, followed by dandruff, dry hair, dull hair, limp hair, and oily hair. The causes of hair loss are diverse, ranging from genetic and hormonal factors to lifestyle. To accurately identify and classify the types of hair loss, a method is needed that can handle data efficiently and accurately. This study aims to classify types of hair loss using the Naive Bayes method, a classification algorithm in data mining based on probability and Bayes' theorem. The data used consists of various attributes such as staying up late, brain activity duration, stress levels, dandruff, and hormones. The Naive Bayes method was chosen because of its ability to handle data with a large number of attributes and produce fairly accurate predictions even with the assumption of independence between features. The results of the study show that the Naive Bayes method is capable of classifying types of hair loss with an accuracy rate of 76.67%. These findings indicate that this method can be used as a tool to aid in the rapid and efficient initial diagnosis of hair loss problems.
Evaluasi SIMKAH Menggunakan Metode Technology Acceptance Model pada Kantor Urusan Agama Kecamatan Tanjung Karang Barat Bandar Lampung MUBAAROK, ABDURRAHMAN; Sutedi, Sutedi
Journal of Software Engineering and Technology. Vol 4, No 1 (2024): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v4i1.117

Abstract

Kantor Urusan Agama (KUA) kecamatan sebagai ujung tombak dalam pelayanan-pelayanan keagamaan di kecamatan. Dalam menjalankan tugas-tugasnya, KUA TKB telah memanfaatkan SIMKAH untuk mendukung kinerjanya di bidang perkawinan. SIMKAH sering kali mengalami keterlambatan respon sistem menyebabkan terganggunya proses pelayanan pada masyarat Sehubungan dengan banyaknya peristiwa pernikahan yang terjadi diperlukan sebuah sistem yang optimal. Adapun metode yang digunakan yaitu TAM yang menyediakan suatu basis teoritis untuk mengetahui faktor-faktor untuk memprediksi dalam jangka panjang tentang penerimaan teknologi oleh pengguna. Penerapan Sistem Informasi Manajemen Nikah (SIMKAH) oleh Pemerintah, khususnya Kementerian Agama (KEMENAG), bertujuan untuk mempermudah proses pendaftaran pernikahan di Kantor Urusan Agama (KUA). Namun, terdapat berbagai respon dan persepsi dari masyarakat dan petugas KUA terhadap penggunaan SIMKAH. Beberapa petugas KUA merasakan manfaat yang jelas dan mudah dalam menggunakan SIMKAH, sementara yang lain mungkin merasa canggung atau tidak percaya diri terhadap teknologi tersebut. Persepsi mengenai kemudahan penggunaan memiliki pengaruh yang signifikan terhadap sikap petugas KUA terhadap SIMKAH, di mana yang merasa mudah cenderung lebih positif, sementara yang kesulitan mungkin menunjukkan sikap penolakan. Meskipun masyarakat dan petugas KUA mungkin menyadari manfaat SIMKAH, dampak dari persepsi mengenai manfaat dan kegunaan ini tidak selalu mengubah sikap mereka terhadap adopsi teknologi ini. Beberapa masyarakat dan petugas KUA mungkin merasa bahwa manfaat yang dirasakan tidak cukup kuat untuk mengubah pandangan mereka yang sudah ada.
Integration of BERT and SVM in Sentiment Analysis of Twitter/X Regarding Constitutional Court Decision No. 60/PUU-XXII/2024 Irianti , Artia; Halimah, Halimah; Sutedi, Sutedi; Agariana, Melda
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4068

Abstract

This research analyzes public sentiment towards the Indonesian Constitutional Court's decision No. 60/PUU- XXII/2024 by utilizing natural language processing techniques using the BERT (Bidirectional Encoder Representations from Transformers) model and the Support Vector Machine model (SVM). The research methodology includes four stages: data preprocessing, data labeling using BERT, embedding extraction, and SVM model training. The data is taken from the Twitter platform, where various public opinions are reflected in three sentiment categories: positive, neutral, and negative. The preprocessing process results in the removal of approximately 23% of duplicate data, and sentiment labeling shows a dominance of the positive category. Evaluation results from the SVM model training demonstrated varying performance: negative sentiment achieved a Precision of 0.57, Recall of 0.36, and F1-score of 0.44; neutral sentiment had a Precision of 0.81, Recall of 0.62, and F1-score of 0.70; while positive sentiment recorded a Precision of 0.98, Recall of 1.00, and F1-score of 0.99. The model's overall accuracy reached 0.97. These findings indicate that the integration of BERT and SVM is effective for sentiment classification, but improvements are needed in the negative and neutral categories to achieve more balanced performance.
PERANCANGAN SISTEM INFORMASI REGISTRASI LOMBA PEKAN OLAHRAGA DAN SENI DENGAN PEMANFAATAN INTEGRASI PAYMENT GATEWAY DI SMAN 15 BANDAR LAMPUNG firdhayanti, ayu; Agarina, Melda; Sutedi, Sutedi; Suryadi , Arman; Fauzi Maulana, Muh Royan
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol. 7 No. 2 (2024): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : LP2M Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v7i2.835

Abstract

This research aims to design a web-based information system to facilitate the registration process for competitions in Sports and Arts Week (PORSENI) at SMAN 15 Bandar Lampung. This research was motivated by the complexity of the manual registration process that involved many participants from different schools, especially those from out of town. The designed information system integrates an online payment function through the Xendit payment gateway. This system is expected to increase the efficiency of the registration process, reduce the committee's workload, and provide convenience for participants to register and pay online. The results showed that the developed information system successfully simplified the registration and payment process of the competition. Participants can register and pay independently without coming directly to the committee. In addition, this system can automate several processes that were previously done manually, thus increasing the efficiency of the committee's work. Implementing this information system has positively contributed to the organisation of PORSENI at SMAN 15 Bandar Lampung.
Strategic Planning of Information Technology Architecture in Schools Using The Open Group Architect Framework (TOGAF) Case Study: SMA Negeri 15 Bandar Lampung Absor, M Ulil; Sutedi, Sutedi
Jurnal Indonesia Sosial Sains Vol. 5 No. 08 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i08.1208

Abstract

This research aims to design an enterprise architecture at SMA Negeri 15 Bandar Lampung using the TOGAF ADM framework. This research involves several phases: Preliminary Phase, Architecture Vision, Business Architecture, Information System Architecture, and Opportunities and Solutions. In the Preliminary phase, the objectives and benefits of architectural development are determined to meet the needs of the school, including the new student enrollment system and network structure. The Architecture Vision phase describes the organization's profile, vision and mission, as well as the current state of architecture. Business Architecture analyzes key business processes using the value chain, including student admission, teaching and learning activities, and student release. Information System Architecture develops data and application architectures to support business vision and architecture. The Opportunities and Solutions phase identifies opportunities for information technology development to improve school operational efficiency. The results show that the implementation of TOGAF ADM can provide systematic and comprehensive guidance in designing enterprise architecture that suits the needs of schools.
Implementasi Metode Scrum Dalam Perancangan Sistem Manajemen Administrasi Digital Pada SMK di Provinsi Lampung Agarina, Melda; Sutedi, Sutedi; Karim, Arman Suryadi
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10630627

Abstract

Pemanfaat teknologi digital terkait administasri digital pada SMK di provinsi Lampung saat ini belum merata. Masih banyak beberapa SMK dikabupaten yang masih belum memanfaatkan aplikasi dalam proses administrasi yang berjalan saat ini. Masih banyak SMK yang memiliki permasalahan serupa diantaranya kesalahan dalam proses pencatatan data pembayaran serta administrasi proses belajar mengajar. Sehingga hal tersebut dapat menyulitkan pihak SMK terkait dalam perekapan data yang belum terdokumentasikan baik. Dalam penelitian ini tim peneliti merancang Sistem Informasi Manajemen Administrasi Digital agar dapat memudahkan beberapa SMK yang belum memiliki sistem informasi dengan pengolahan data administrasi yang baik. Metode yang digunakan yaitu metode scrum yang mengutamakan kebutuhan dan keinginan pengguna melalui proses dan tahapan seperti Products backlog, sprint planning, sprint backlog, sprint dan sprint review, adapun alat pengembangan sistem berupa UML dengan sistem yang dibangun berbasis website menggunakan bahasa pemprograman PHP. Hasil penelitian ini tidak hanya mengelola data komite saja namun dalam sistem ini pengolahan data administrasi yaitu berupa sistem yang dapat digunakan oleh kepala sekolah, admin, guru serta murid Kepala sekolah dapat melihat data presensi dan administrasi komite. Bagian keuangan dapat mengelola data pembayaran komite dan laporan. Bagian guru dapat mengelola data presensi dan siswa dapat melihat data prestasi, informasi dan pembayaran komite.
Co-Authors - Nurfiana Absor, M Ulil Adam Japal Adela, Cindy Nada Agariana, Melda Agarina , Melda Agung Nugroho Menggala Putra AGUS PURWANTO Anton Catur Atmoko Ardiansyah, Ari ARIF HIDAYAT Arman Suryadi Karim, Arman Suryadi DANU WIJAYA Diba Madya Margerefti Dona Yuliawati Edi Edi Pranyoto Fauzi Maulana, Muh Royan Fauzi, M.Royan Firdhayanti, Ayu Firmansyah Firmansyah Firmansyah Yunialfi Alfian Guntur Guntur Halimah Halimah handoyo widi nugroho Hartono Hartono Hasibuan, Said Hendra Kurniawan Hendri Purnomo Hendri Purnomo Ilhamiharja, Arbi Irianti , Artia Kaesar Azra Putra Zeva Kesuma, Martika Kurniawan, Putra Lestari, Mentari Puji Luh Putu Ratna Sundari M Said Hasibuan M Ulil Absor M. Royan Fauzi M.Ariza M.Royan Fauzi M.Royan Fauzi Maulana Maarif, Syaiful Mahfudzin, Abdul Halim Maulana, Muh Royan Fauzi Melda Agarina MS Hasibuan MUBAAROK, ABDURRAHMAN Muhamad Ariza Eka Yusendra Muhammad Ariza Eka Yusendra Nirma Nirma Nirmala Handayani Nirmala Handayani Ochi Marshella Febriani rinaldi rinaldi Rinaldo, Reyhandoni Rini Nurlistiani Risa Ayuna Sari, Erlinda Ratna Sri Karnila Sriyanto . Sriyanto Sriyanto Sriyanto Sriyanto Stefanus Rumangkit Suryadi , Arman Susanti Susanti Susanti Susanti Susanti Tria Devi Miranti Triloka, Joko Ubaidilah, Romdan Muhamad Wasilah Wasilah Yusminar Yusminar