Garuda - Garba Rujukan Digital

Uji Keamanan Back End Aplikasi Berbasis Website Menggunakan Metode Black Box Testing Abd. Wahab Syahroni; Nindian Puspa Dewi; Nilam Ramadhani; Ubaidi; Badar Said
Jurnal PROCESSOR Vol 19 No 2 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.2.1752

Application security is often overlooked during the development phase and even after the application is deployed. However, without proper security measures, even the most advanced technologies can lead to significant losses, such as unauthorized data access and potential data loss due to deletion actions. Developing applications using the REST API architecture allows users to access backend endpoints from outside the application, so attention must be given not only to authentication but also to authorization issues. Based on the results of testing the SILAB application using the Black Box Testing method, it can be concluded that the SILAB application still needs improvements in backend security, particularly in terms of authorization. This indicates that there are still vulnerabilities and threats that could potentially compromise the data in the SILAB application.

Service Quality Analysis of RFID-Based Smart Door Lock in Front One Azana Style Hotel Area Putra, Fauzan Prasetyo Eka; Ramadhani, Nilam; Fauzan, Fauzan; Mursidi, Moh.
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4292

This research evaluates the service quality of an RFID-based smart door lock system in the Front One area of Azana Style Hotel Pamekasan. Employing qualitative analysis techniques, the study assesses the system's reliability, security, convenience, and responsiveness based on user experience and behavioral data. The primary goal is to understand how effectively the smart lock system enhances hotel services and operational efficiency. The findings aim to offer valuable insights to hotel management and the broader hospitality industry regarding the impact of smart technology on guest experience and hotel operations, thus fostering innovation and promoting environmental sustainability. By integrating RFID-based smart door locks with the Internet of Things (IoT), the system enables real-time access control, manages meeting room schedules, facilitates remote security monitoring, and oversees employee access management. This integration not only boosts service quality and operational efficiency but also creates a more connected and intelligent hotel environment. Consequently, the study highlights the potential of smart technology to transform hotel operations, improve guest satisfaction, and contribute to a sustainable future for the hospitality industry. Additionally, the research underscores the importance of continuous technological advancements in maintaining competitive advantage in the rapidly evolving hospitality sector, ensuring that hotels can meet the ever-changing needs and expectations of their guests.

RANCANG BANGUN SISTEM INFORMASI MANAJEMEN ORGANISASI KEMAHASISWAAN : (STUDI KASUS UNIVERSITAS MADURA) Ramadhani, Nilam; Syahroni, Abd. Wahab; Wahyudi, Rian
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2151

College Student Organization is a forum and means to hone students' abilities, self-development and creativity through various campus activities that are oriented towards increasing achievement. College student activities are created and organized by them through College Student Organizations and student activity units. The implementation of college student organization activities at Madura University has several obstacles. These obstacles generally occur because the service process is still manual and has not been recorded digitally. This makes it difficult for student coaches to find data on student organization activities and student activity units. With this information system, management data, activity proposals, accountability reports, student funds and documentation of activities organized by student organizations will be recorded digitally. The results of the User Acceptance Test on 40 student organization administrators presented the percentage of responses related to user satisfaction was 73.25% based on the score interpretation criteria on the Likert scale. This presented that the response related to user satisfaction with the system built is strong and according to needs. This information system is also equipped with security features to protect important data from unauthorized users

PERANCANGAN APLIKASI KLINIK UNIRA BERBASIS WEB UNTUK OPTIMALISASI PELAYANAN Syahroni, Abd. Wahab; Rofiq Hafsi, Ainur; Ramadhani, Nilam; Said, Badar
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2425

UNIRA Clinic still uses manual books in collecting data on its service activities. The services provided by the UNIRA Clinic include blood checks, blood pressure checks, and drug administration based on the patient's diagnosis. This study aims to design and build an application for the UNIRA Clinic that can assist in recording patient check up history and facilitate it in recapitulation so that it can be an answer to the shortcomings of recording patient check up manually using books. The application was built using the prototype method, database design using CDM and PDM, database implementation on MySQL, implementation of programming languages with Javascript and PHP. Measurement of application use satisfaction using a Likert scale. Of the 10 respondents who have answered the questionnaire, it can be concluded that the respondents strongly agree that this application has been built in accordance with the existing system flow at the UNIRA Clinic with a Likert scale result of 98%.

Penerapan Dimensi Reduksi Pada Machine Learning Dalam Klasifikasi Kanker Payudara Berdasarkan Parameter Medis Jamilatul Badriyah; Nilam Ramadhani; Agung Muliawan; Khanun Roisatul Ummah; Ata Amrullah
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 6 No 3 (2024): Desember
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v6i3.379

Kanker payudara adalah salah satu penyakit mematikan yang menyerang wanita karena jaringan payudara tumbuh tidak terkendali. Penelitian ini bertujuan untuk menerapkan teknik machine learning dalam klasifikasi kanker payudara untuk mendukung diagnosis yang lebih cepat dan akurat. Data yang digunakan dalam penelitian ini mencakup berbagai parameter medis seperti panjang radius, cekungan, jumlah titik cekung, posisi simetri, dimensi fraktal, luas, kehalusan dan lainnya. Metode yang digunakan dalam penelitian ini meliputi teknik klasifikasi seperti Deep learning dan Neural Network dengan kombinasi dimensi reduksi menggunakan Principal Component Analysis (PCA). Penggunaan dimensi reduksi dalam mengurangi kompleksitas data dan meningkatkan kinerja model. Hasil dari penelitian ini menunjukkan bahwa dimensi reduksi menggunakan Principal Component Analysis pada machine learning dapat meningkatkan akurasi kinerja model dengan akurasi tertinggi 96,84 pada Deep Learning

ALGORITMA OKAPI BM25 DALAM SISTEM PENCARIAN INFORMASI BERBASIS TEKS Darmawan, Irwan; Arifin, Mohammad Nazir; Ubaidi, Ubaidi; Ramadhani, Nilam; Dewi, Nindian Puspa
Insand Comtech : Information Science and Computer Technology Journal Vol 10, No 1 (2025): Insand Comtech
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/jic.v10i1.2649

BM25 (Best Matching 25), atau yang dikenal sebagai Okapi BM25, adalah algoritma pemeringkatan dokumen yang banyak digunakan dalam sistem pencarian informasi berbasis teks karena pendekatannya yang probabilistik dan kemampuannya dalam menangani pencocokan kueri terhadap dokumen dalam skala besar. Tidak seperti metode heuristik klasik seperti Term Frequency (TF) dan Term Frequency-Inverse Document Frequency (TF-IDF), BM25 memperhitungkan faktor seperti frekuensi kemunculan kata, panjang dokumen, dan distribusi kata dalam korpus untuk menghasilkan skor relevansi yang lebih akurat. Penelitian ini bertujuan untuk mengevaluasi efektivitas BM25 dalam konteks bahasa Indonesia, dengan membandingkannya terhadap TF dan TF-IDF menggunakan dua dataset relevan, yaitu IndoQA dan IndoNLI. Sebanyak 1.000 pasangan kueri-dokumen dipilih sebagai sampel uji, dan seluruh teks mengalami proses pra-pemrosesan berupa tokenisasi, lowercasing, penghapusan tanda baca, stopword removal, dan stemming. Setiap model digunakan untuk menghasilkan peringkat 10 dokumen teratas, yang kemudian dievaluasi menggunakan metrik Precision@5, Mean Average Precision (MAP), dan Normalized Discounted Cumulative Gain (nDCG). Hasil eksperimen menunjukkan bahwa BM25 secara konsisten memberikan hasil terbaik dalam semua metrik evaluasi dibandingkan dengan dua metode lainnya, baik dari segi presisi maupun kualitas ranking. Temuan ini menegaskan bahwa BM25 tetap menjadi baseline yang kuat dan efisien dalam berbagai aplikasi pencarian informasi berbasis teks berbahasa Indonesia, serta memberikan dasar yang dapat diandalkan untuk pengembangan sistem pencarian cerdas berbasis bahasa alami.Kata kunci: BM25, Pengambilan Informasi, Pembobotan Dokumen, TF-IDF, Bahasa Indonesia.

Optimalisasi Model Bahasa dan Sistem Ekonomi Berbasis Teks dengan Proximal Policy Optimization: Studi Kasus dalam NLP Modern Darmawan, Irwan; Ramadhani, Nilam; Nazir Arifin, Mohammad; -, Ubaidi; Puspa Dewi, Nindian; Innuddin, Muhammad
Jurnal Bumigora Information Technology (BITe) Vol. 7 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v7i1.5222

Background: This study investigates the use of the Proximal Policy Optimization (PPO) algorithm in two text-based case studies: alignment of large language models (LLMs) with human preferences and dynamic pricing based on customer reviews. In the LLM case, PPO combined with preference-based learning significantly improves alignment, BLEU, and human-likeness scores.Objective: This research aims to evaluate PPO’s effectiveness in text-based decision-making through these two cases.Methods: The method employed is reinforcement learning experimentation using the PPO approach. For the LLM case, PPO is integrated with preference learning to enhance alignment, BLEU, and human-like output. Meanwhile, in the economic scenario, PPO produces adaptive pricing strategies with high accuracy or low Mean Absolute Error (MAE) and the best cumulative rewards, outperforming the A3C and DDPG algorithms. Cross-validation and ablation studies assessed PPO’s generalization capability and the contribution of reward components, clipping, and exploration strategies.Result: The findings demonstrate that PPO excels across distinct domains and offers a stable and efficient solution for text-based tasks.Conclusion: The findings confirm its flexibility for various NLP applications and intelligent decision-making systems

Klasifikasi Pemilihan Siswa Dalam Rekomendasi Beasiswa Al-Azar Menggunakan Algoritma C4.5 di MA Tahfidh Annuqayah Ramadhani, Nilam; Muhyil Umam, Ach; Syahroni, Wahab; Rachmatullah, Sholeh; Zumam, Wildona
Jurnal PROCESSOR Vol 20 No 1 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.1.2179

Sebagai instansi sekolah yang berbeda dilingkungan pondok pesantren Annuqayah, MA Tahfidh Annuqayah mengedepankan Pendidikan Kitab dan Hafalan Al-qur’annya. MA Tahfidh Annuqayah ikut andil sebagai instansi sekolah yang merekomendasikan berbagai model beasiswa berupa bantuan biaya pendidikan maupun siswa yang berprestasi. Beasiswa yang di rekomendasikan ada dibawah naungan Kementrian Agama Republik Indonesia. Salah satunya adalah beasiswa full di Al-Azar Kairo Mesir. Banyaknya calon siswa yang akan diklasifikasi sebagai calon penerima rekomendasi beasiswa menjadikan proses seleksi memakan waktu yang lama, sehigga diperlukan system dalam rekomendasinya.Sistem yang dirancang ini akan menerapkan algoritma klasifikasi data mining C4.5 terhadap data yang telah ada pada proses seleksi dan rekomendasi penerima beasiswa. Algoritma C4.5 ini dipilih karena menghasilkan pohon keputusan berdasarkan nilai dari tiap-tiap atribut yang telah ditentukan berdasarkan persyaratan beasiswa. Sistem yang dirancang menggunakan 6 atribut yaitu nilai raport, prestasi, nilai ujian test, baca kitab, hafalan Al-Qur’an dan bahasa arab. Pemrosesan data training menghasilkan pohon keputusan klasifikasi yang bisa dipakai sebagai bahan rekomendasi .Evaluasi yang dilakukan dalam pengujian ini didapatkan nilai akurasi sebesar 97,5 %.

Sistem Pemodelan T5 dalam Natural Language Processing untuk Memberikan Jawaban Terhadap Sebuah Pernyataan Pengguna dalam Bahasa Indonesia Darmawan, Irwan; Ramadhani, Nilam; Dewi, Nindian Puspa; ., Ubaidi
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 6, No 1 (2025): Kecerdasan Buatan dalam Meningkatkan Efisiensi Bisnis
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v6i1.11280

Didalam dunia Artificial Intelligen(AI) sudah dikenal berbagai macam pemodelan dalam mengolah bahasa alami. Salah satunya adalah model T5 (Text-to-Text Transfer Transformer), model ini memungkinkan untuk memberikan solusi jawaban pada sebuah pernyataan maupun pertanyaan berdasarkan inputan dari user. Pada model ini dalam proses awal yaitu proses pre-training menggunakan token perbandingan antar kalimat dengan pendekatan tokenisasi model sentencepeace. Model pre-training sentencepeace memerlukan teks mentah dan tidak menggunakan kata-kata yang di segmentasi sebelumnya. Sedikitnya pembahasan tentang model AI (T5) dalam bahasa indonesia membuat pengetahuan tentang model T5 ini perlu dikaji lebih mendalam. Pada penelitian ini berfokus pada analisis data yang digunakan dalam malakukan pre-training serta seberapa efektif jawaban inputan dari user. Dalam melakukan ujicoba peneliti menghitung perbandingan basis pengetahuan yang dilakukan oleh pakar bahasa indonesia dengan model AI (T5). Pada model uji yang kami terapkan menggunakan model pengukuran BLUE dimana diharapkan dari pengukuran ini dihasilkan nilai yang mendekati angka satu (1).

Service Quality Analysis of RFID-Based Smart Door Lock in Front One Azana Style Hotel Area Putra, Fauzan Prasetyo Eka; Ramadhani, Nilam; Fauzan, Fauzan; Mursidi, Moh.
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4292

This research evaluates the service quality of an RFID-based smart door lock system in the Front One area of Azana Style Hotel Pamekasan. Employing qualitative analysis techniques, the study assesses the system's reliability, security, convenience, and responsiveness based on user experience and behavioral data. The primary goal is to understand how effectively the smart lock system enhances hotel services and operational efficiency. The findings aim to offer valuable insights to hotel management and the broader hospitality industry regarding the impact of smart technology on guest experience and hotel operations, thus fostering innovation and promoting environmental sustainability. By integrating RFID-based smart door locks with the Internet of Things (IoT), the system enables real-time access control, manages meeting room schedules, facilitates remote security monitoring, and oversees employee access management. This integration not only boosts service quality and operational efficiency but also creates a more connected and intelligent hotel environment. Consequently, the study highlights the potential of smart technology to transform hotel operations, improve guest satisfaction, and contribute to a sustainable future for the hospitality industry. Additionally, the research underscores the importance of continuous technological advancements in maintaining competitive advantage in the rapidly evolving hospitality sector, ensuring that hotels can meet the ever-changing needs and expectations of their guests.

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