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All Journal Jurnal Algoritma Jurnal Wawasan Ilmiah Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Jurnal Ilmu Sosial dan Ilmu Politik JOIN (Jurnal Online Informatika) Edu Komputika Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Seminar Nasional Teknologi Informasi Komunikasi dan Industri JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Elektronika dan Telekomunikasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMATICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI Jurnal Sistem Cerdas Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Teknika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal PkM MIFTEK Jurnal Algoritma Engineering Science Letter IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Integrated : Journal Of Information Technology and Vocational Education JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Intelligent Systems Technology and Informatics International Journal of Applied Information Systems and Informatics
Dede Kurniadi
Institut Teknologi Garut
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Indonesian Sign Language Alphabet Image Classification using Vision Transformer Agustiansyah, Yoga; Kurniadi, Dede
Journal of Intelligent Systems Technology and Informatics Vol 1 No 1 (2025): JISTICS, March 2025
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v1i1.5

Abstract

Effective communication is fundamental for social interaction, yet individuals with hearing impairments often face significant barriers. Indonesian Sign Language (BISINDO) is a vital communication tool for the deaf community in Indonesia. However, limited public understanding of BISINDO creates communication barriers, which necessitate an accurate automatic recognition system. This research aims to investigate the efficacy of the Vision Transformer (ViT) model, a state-of-the-art deep learning architecture, for classifying static BISINDO alphabet images, exploring its potential to overcome the limitations of previous approaches through robust feature extraction. The methodology involved utilizing a dataset of 26 BISINDO alphabet classes, which underwent comprehensive preprocessing, including class balancing via augmentation and image normalization. The Google/vit-base-patch16-224-in21k ViT model was adapted with a custom classification head and trained using a two-phase strategy: initial feature extraction with a frozen backbone, followed by full network fine-tuning. The fine-tuned Vision Transformer model demonstrated exceptional performance on the unseen test set, achieving an accuracy of 99.77% (95% CI: 99.55%–99.99%), precision of 99.77%, recall of 99.72%, and a weighted F1-score of 0.9977, significantly surpassing many previously reported methods. The findings compellingly confirm that the ViT model is a highly effective and robust solution for BISINDO alphabet image classification, underscoring the potential of advanced Transformer-based architectures in developing accurate assistive communication technologies to benefit the Indonesian deaf and hard-of-hearing community.
Rancang Bangun Aplikasi Halo Cat Berbasis Mobile Dengan Menggunakan Metodologi Scrum Sebagai Alat Konsultasi Online Dokter Hewan Rahayu, Sri; Kurniadi, Dede; Irfanov, Muhammad
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.1763

Abstract

Owners' lack of knowledge about cat health often leads to cat illnesses not being detected early, even leading to death. About 65% of cats are only found to be sick when brought to the clinic, which is often due to busy owners. This makes the time to consult with a veterinarian unavailable. This research aims to create an Android-based application that can be a link between people who have cats as pets and veterinarians, in consulting related problems experienced by the cat owner. The results showed that Scrum contributed to the development of an efficient Halo Cat application, with accurate time estimation and features that support consultation.
Implementasi User Experience Menggunakan Metode Design Thinking Pada Aplikasi KostHub Fitriani, Leni; Kurniadi, Dede; Irawan, Muhammad Randy
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2117

Abstract

The boarding house rental business is a type of business whose demand is increasing from year to year. However, amidst the large need for boarding houses in Indonesia, there are still problems experienced by both boarding house owners and seekers. Until now, searches for boarding houses still rely on information obtained through recommendations from friends or other parties. Then from the perspective of boarding house owners, they often find it difficult to promote their boarding house. Seeing these problems, there is a need for a boarding house search platform that can overcome user problems, one of which is by paying attention to the user experience side. This research aims to implement user experience on the kosthub platform. Kosthub is a boarding house rental platform that can help boarding house owners and seekers to connect and work together to find solutions to their needs. The kosthub platform designs from a user experience perspective to pay attention to its function and usefulness in overcoming the problems of potential users. The method of this research will use a design thinking approach with the stages of empathize, define, ideate, prototype and test with the help of usability testing. This research resulted in a display design that met the user-friendly criteria with a percentage of 85.5 percent for boarding house seekers and 93.5 percent for boarding house owners. The conclusion from this research is that the appearance of the kosthub meets the user-friendly criteria.
Model Prediksi Curah Hujan di Kota Bandung Menggunakan Algoritma Regresi Linier Kurniadi, Dede; Abdussalam, Iqbal Abdussalam
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2136

Abstract

Penelitian ini bertujuan untuk membangun model prediksi curah hujan harian di Kota Bandung menggunakan algoritma regresi linier. Data yang digunakan sebanyak 2.647 entri harian dari tahun 2017 hingga Maret 2024 yang diperoleh dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Fitur yang digunakan mencakup suhu minimum, maksimum, dan rata-rata, kelembapan rata-rata, durasi sinar matahari, kecepatan dan arah angin. Proses analisis mencakup tahapan pengumpulan data, optimalisasi praproses (reduksi, transformasi, pembersihan data), normalisasi menggunakan Min-Max Scaling, pemodelan, dan evaluasi. Model regresi linier dibangun dan dievaluasi menggunakan metrik Mean Squared Error (MSE) dan Root Mean Squared Error (RMSE). Hasil evaluasi model menunjukkan performa prediktif dengan nilai MSE sebesar 0,00401 dan RMSE sebesar 0,06332. Temuan ini menunjukkan hasil sangat baik bila dibandingkan dengan sejumlah penelitian sebelumnya, hasil ini tergolong kompetitif, bahkan mengungguli beberapa pendekatan lain yang lebih kompleks secara komputasional, sehingga dapat digunakan sebagai metode awal yang efisien untuk memprediksi curah hujan harian dan berpotensi dimanfaatkan dalam sektor pertanian dan mitigasi cuaca di wilayah perkotaan.
Penetration Testing Untuk Menguji Tingkat Keamanan Sistem Pada Academic Information System (AISnet) Institut Teknologi Garut Dengan Metode Zero Entry Hacking (ZEH) Erwin Gunadhi Rahayu, Raden; Ramdhan, Dekha; Kurniadi, Dede
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2149

Abstract

Banyak perguruan tinggi di Indonesia diwajibkan untuk mengadopsi pengelolaan teknologi informasi yang transparan, efisien, dapat diandalkan, dan bertanggung jawab sebagaimana diamanatkan oleh PERMENDIKBUDRISTEK Nomor 53 Tahun 2023. Salah satu sistem yang berperan penting dalam pengelolaan data akademik adalah Sistem Informasi Akademik (AISnet) milik Institut Teknologi Garut (ITG). Sistem ini menyimpan data sensitif yang berpotensi menimbulkan risiko tinggi jika tidak dilindungi dengan baik. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan mengukur tingkat kerentanan keamanan pada AISnet sorta menilai kesesuaian nya dengan regulasi nasional, dan memberikan rekomendasi mitigasi berdasarkan prinsip CIA (Confidentiality, Integrity, Availability). Metode yang digunakan adalah penetration testing dengan pendekatan Zero Entry Hacking (ZEH), serta pemindaian kerentanan menggunakan tools Nmap dan OWASP ZAP, dengan pengukuran risiko berdasarkan Common Vulnerability Scoring System (CVSS) versi 3.1. Hasil penelitian menemukan lima kerentanan: satu dengan tingkat risiko tinggi, tiga dengan tingkat risiko sedang, dan satu dengan tingkat risiko rendah, namun hanya satu yang berhasil dieksploitasi secara langsung. Kerentanan dengan skor CVSS tertinggi berada pada tingkat medium (4.8), sementara tiga lainnya berada pada tingkat none. Penelitian ini berkontribusi dalam upaya peningkatan keamanan aplikasi akademik di lingkungan perguruan tinggi melalui pendekatan praktis dan pemetaan risiko teknis. Dengan demikian, AISnet belum sepenuhnya memenuhi standar keamanan yang ditetapkan dalam regulasi, dan perlu dilakukan mitigasi teknis seperti konfigurasi ulang header keamanan serta pembaruan pustaka program yang rentan.
Perancangan Sistem E-Voting Mahasiswa Berbasis Web Menggunakan RUP untuk Efisiensi Pemilihan Ketua Organisasi Kampus Rahayu, Raden Erwin Gunadhi; Kurniadi, Dede; Pratama, Reifalga Gais
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2267

Abstract

The Student Executive Board (BEM) is an intra-campus student organization that serves as the executive body at the university level, led by a BEM president. Currently, the BEM election is conducted conventionally, resulting in a decline in voter participation due to factors such as students being on vacation, having class schedules, or lacking interest in organizational activities. Therefore, a more effective election process is needed—one solution being the implementation of E-Voting, which allows all students to participate digitally. The objective of this study is to develop an e-voting system that facilitates students in electing the BEM president of the Institut Teknologi Garut, making it easier for them to exercise their voting rights. The method used is the Rational Unified Process (RUP), which consists of four main phases: Inception, Elaboration, Construction, and Transition. The black box testing results indicate that all system functions operate according to the defined scenarios. Meanwhile, beta testing involving 33 respondents achieved a satisfaction rate of 88.48%, categorized as strongly agree. These results demonstrate that the developed e-voting system meets users’ functional requirements, simplifies the committee’s work in managing the election process, and provides students with convenient access to candidate information, vision and mission statements, as well as real-time election results. The contribution of this research lies in presenting an e-voting system that is not only efficient, dynamic, and flexible but also developed using the iterative RUP methodology, ensuring software quality and alignment with student organizational needs. Moreover, it serves as a reference for implementing digital voting technology within academic environments.
Implementasi Modul Tanda Tangan Digital dengan Superenkripsi RSA-ECDSA dan SHA-512 Pada Sistem Informasi Akademik Sekolah Ajif, Arvin Muhammad; Nuraeni, Fitri; Kurniadi, Dede; Elsen, Rickard
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2353

Abstract

Keamanan dokumen akademik pada sistem informasi sekolah merupakan aspek krusial untuk menjamin integritas dan keaslian data. Penelitian ini mengusulkan pengembangan modul tanda tangan digital berbasis superenkripsi RSA–ECDSA dengan fungsi hash SHA-512 pada sistem Buku Induk Nilai berbasis web. Metode pengembangan menggunakan Rapid Application Development (RAD) untuk menghasilkan prototipe cepat sesuai kebutuhan pengguna. Proses implementasi meliputi hashing dokumen menggunakan SHA-512, enkripsi hasil hash dengan RSA, penandatanganan menggunakan ECDSA, serta penyisipan tanda tangan digital dalam bentuk QR-Code ke dokumen ekspor. Pengujian dilakukan pada 30 sampel dokumen dengan variasi ukuran 10 KB–1 MB melalui pendekatan blackbox testing. Hasil uji menunjukkan tingkat keberhasilan verifikasi dokumen sebesar 100%, waktu rata-rata proses penandatanganan 1,25 detik, dan waktu verifikasi 0,98 detik. Sistem terbukti mampu mendeteksi perubahan sekecil 1 byte, menjaga integritas dokumen, dan memberikan tingkat keamanan setara 112–128 bit sesuai standar kriptografi modern. Temuan ini menegaskan efektivitas superenkripsi RSA–ECDSA dalam meningkatkan keamanan dokumen akademik serta menawarkan solusi yang efisien, portabel, dan dapat diverifikasi secara mandiri melalui QR-Code.
Text Mining-Based Sentiment Analysis of ChatGPT Users on X Platform Using Naïve Bayes Algorithm Alkamal, Chaerulsyah; Kurniadi, Dede
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 2 (2025): November 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i2.17062

Abstract

ChatGPT (Generative Pre-trained Transformer) is a natural language processing model based on Artificial Intelligence (AI) that is currently trending. ChatGPT is widely used by the public because it is considered very helpful in completing tasks or solving problems faced by society. However, as the use of ChatGPT grows, questions have arisen about how people perceive and respond to interactions with ChatGPT present. The use of ChatGPT not only creates opportunities but also new challenges in understanding user perceptions and sentiments toward this technology. For example, various controversies have emerged regarding the presence of ChatGPT. Therefore, this research aims to determine the sentiments of society, particularly among users of social media X, toward ChatGPT, and whether most of society views it positively, negatively, or neutrally. By conducting sentiment analysis and implementing Text Mining, the tendency of a particular sentiment or opinion, whether it leans toward positive, negative, or neutral, can be obtained relatively easily. The method used in this research is SEMMA (Sample, Explore, Modify, Model, Assess) with Naïve Bayes as the algorithm to be implemented. To evaluate the model, a Confusion Matrix is used. The sentiment analysis results show that out of a total of 1,314 data points, 39.4% were positive, 37.7% were neutral, and 22.9% were negative. The classification model achieved an accuracy of 72.78%, which is considered quite good.
Co-Authors Abania, Nia Abdulah, Farhan Naufal Abdurrahman, Fauzan Abdussalam, Iqbal Abdussalam Abdusy Syakur Amin Ade Sutedi Ade Sutedi Ade Sutedi, Ade Adiwangsa, Alfian Akmal Agus Hermawan Agus Nugraha Agustiansyah, Yoga Ahmad Habib Lutfi Aisyah Fitri Islami Ajif, Arvin Muhammad Ajiz, Rafi Nurkholiq Akbar, Gugun Geusan Alamsyah, Renaldy Aldy Rialdy Atmadja Ali Djamhuri Alisha Fauzia, Fathia Alkamal, Chaerulsyah Alvin Zainal Musthafa Alwan Nul Hakim Amrulloh, Muhammad Fawaz Andri Saepuloh Aneu Suci Nurjanah Asri Indah Pertiwi Asri Mulyani Asri Rahayu Ningsih Ayu Suryani B. Balilo Jr , Benedicto B. Balilo Jr, Benedicto Balilo Jr, Benedicto B. Barlinti Maryam Budik Burhanuddin, Ridwan Cahya Mutiara Dede Sopiah Della Adelia Anugrah Detila Rostilawati Dewi Tresnawati Dhea Arynie Noor Annisa Diar Nur Rizky Diaz Radhian Salam Diazki, Moch Haiqal Diki Jaelani Dini Destiani Siti Fatimah Diva Nuratnika Rahayu Dudy Mohammad Arifin Dyka Afan Afthori Dzikri Nursyaban Efi Sofiah Elsen, Rickard Eri Satria Erick Fernando B311087192 Erwan Yani Erwan Yani, Erwan Erwin Gunadhi Rahayu, Raden Erwin Widianto Fadillah, Hadi Bagus Faisal, Ridwan Nur Fajar Rahman Faturrohman, Nadhif Fauziah, Fathia Alisha Fauziyah, Asyifa Fikri Zakaria Rahman Firmansyah, Marshal Fitri Nuraeni Fitriani, Ranti Fitriyani Gelar Panca Ginanjar Ghilman Hasbi Basith Gisna Fauzian Dermawan H. Bunyamin Hadi Wijaya, Tryana Haekal, Mohamad Fikri Hamzah Nurrifqi Fakhri Fikrillah Hari Ilham Nur Akbar Hasfi Syahrul Ramadhan Hazar, Aura Fitria Helmalia P, Nabilla Febriani Hendri Aji Pangestu Heri Johari Heri Suhendar Heri Suhendar Hilmi Aulawi Ida Farida Ikbal Lukmanul Hakim Ikhrom, Taufik Darul Ikmal Muhammad Fadhil Ilham Muhamad Ramdan Imas Dewi Ariyanti Inda Muliana Indra Trisna Raharja Indri Tri Julianto Indri Tri Julianto Intan Sri Fatmalasari Irawan, Muhammad Randy Irfan Qusaeri Irfanov, Muhammad Irsyad Ahmad Iskandar, Joko Jajang Jaenudin Jajang Romansyah Jembar, Tegar Hanafi Khaerunisa, Nisrina Khoerunisa, Sarah Kusmayadi, Kusmayadi Latif, A. Abdul Latifah, Ayu Leni Fitriani Leni Fitriani, Leni Lia Amelia Lindayani, Lindayani M. Mesa Fauzi Mahendra Akbar Musadad Maulana , Muhammad Arief Maulana, Ahmad Rakha Maulana, Ilham Ahmad Maulana, Yusep Maulina, Wina Senja Meta Regita Mochamad Deni Ramdani Muhamad Solihin Muhammad Abdul Yusup Hanifah Muhammad Affan Al Sidqi Muhammad Rikza Nashrulloh Muhammad Saleh Muhammad Sanusi Muhammad Wildan Muliana, Inda Muttaqin, Moch Riefky Chaerul Nita Nurliawati Nugraha, M Aldi Nugraha, Nikolas Pranata Nurfadillah, Rifa Sri Nurhaliza, Nabila Putri Nurlisina, Elisa Nurpatmah, Lisna Nursa'diah, Rifania Sapta Nursyaban, Dzikri Nurul Fauziah Nurul Khumaida Nurzaman, Muhammad Zein Omar Komarudin Pratama, Reifalga Gais Prayoga, Moch. Gumelar Putri, Mita Hidayani Raharja, Indra Trisna Rahayu, Diva Nuratnika Rahayu, Raden Erwin Gunadhi Rahmat, Agil Rahmi, Murni Lestari Rajab, Ilham Syahidatul Ramdhan, Dekha Ramdhani Hidayat Randy Wardan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rifky Muhammad Shidiq Rinda Cahyana Rinda Cahyana Risfiyanisa Fasha Rizki Fauziah Roeri Fajri Firdaus Rohman, Fauza Rohmanto, Ricky Rostina Sundayana Rubi Setiawan Rudi Sutrio Safei P, M Iqbal Ismail Sarah Khoerunisa Sermana, Elsa Maharani Sheny Puspita Indriyani Siti Rima Fauziyah Sofwan Hamdan Fikri Sopiah, Dede Sri Intan Multajam Sri Mulyani Lestari SRI RAHAYU Sri Rahayu Sri Rahayu Syahrul Sidiq Syaiffani, Moch Assami Tina Maryana Undang Indrajaya W, Faksi Ahmad Wahidah, Tania Agusviani Wiwit Septiani Yanti Sofiyanti Yayat Supriatna Yoga Handoko Agustin Yosep Septiana Yosep Septiana Yuni Yuliani Yusfar Ilhaqul Choer Yusuf Mauluddin Zaqiah, Neng Nufus Zulkarnaen, Ade Iskandar