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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JPM (Jurnal Pemberdayaan Masyarakat) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENGABDI SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JISICOM (Journal of Information System, Infomatics and Computing) JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Soft Computing Exploration Jurnal Pengabdian Masyarakat Indonesia Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Paradigma Insand Comtech : Information Science and Computer Technology Journal Journal Of Artificial Intelligence And Software Engineering
Hammad, Rifqi
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Improvement of Spelling Correction Accuracy in Indonesian Language through the Application of Hamming Distance Method Qulub, Mudawil; Hammad, Rifqi; Irfan, Pahrul; Yuliana, Yuliana
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.5926

Abstract

Spelling correction is a critical feature in software to reduce typing errors, commonly found in document processing software and smartphone keyboards. This research aims to evaluate the accuracy of the Hamming Distance method in correcting words in the Indonesian language, both standard and non-standard forms. The research data is derived from a previous study and comprises 60 standard and non-standard Indonesian words. Typos are generated by considering the layout of letters on the QWERTY keyboard. Typing error data is divided into two groups, namely words with 1 and 2 character differences. The first test is conducted on standard words, achieving an accuracy rate of 98.33% for 1 and 2 character differences. Subsequent testing on non-standard words shows an accuracy rate of 100% for 1 character difference and 96.67% for 2 character differences. The results of this research highlight the potential of the Hamming Distance method in improving the quality of spelling correction in the Indonesian language.
Meningkatkan Keamanan Web Server Nginx dengan NAXSI sebagai Web Application Firewall Innuddin, Muhammad; Irfan, Pahrul; Hammad, Rifqi
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 2 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2023
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i2.2310

Abstract

Teknologi informasi dari generasi sebelumnya hingga saat ini semakin cepat sehingga pemeliharaan dan peningkatan keamanan menjadi faktor penting yang harus diperhatikan dalammerancang dan membangun WebServer. Pemeliharaan layanan dengan menerapkan sistem keamanan sangat penting dilakukan untuk mencegah pihak yang tidak berwenang memperoleh informasi penting atau merusak sebuah sistem dengan berbagai jenis serangan berbahaya. Penerapan keamanan bertujuan untuk mencegah serangan yang dilakukan seperti mengubah tampilan website, pencurian password atau membuat WebServer tidak dapat bekerja secara normal. NAXSI merupakan WebApplicationFirewall (WAF) untuk mengatasi permasalahan keamanan pada WebServerNginx dengan melakukan logging pada aktivitas Web secara realtime untuk memantau lalu lintas HTTP. Jika terdapat permintaan berbahaya maka akan ditolak dan diarahkan ke halaman forbidden. Penelitian ini menggunakan metode NetworkDevelopmentLifeCycle (NDLC). Terdapat 5 skenario dilakukan dalam uji cobadiantaranya,InformationGathering menggunakan WhatWeb dan DirBuster, HTTPAttack, XSSAttack serta BruteForceLogin menggunakan WPScan. Pengujian performansi penanganan serangan pada WebServer menggunakan dua scenario yaitu sebelum diaktifkan dan setelah diaktifkan NAXSI. Kesimpulan dari penelitian ini adalah performa NAXSI sangat baik dalam melindungi WebServerNGINX dari berbagai jenis ancaman serangan berbahaya yang diuji karena NAXSI dapat mendeteksi dan mencegah adanya serangan dan dapat menstabilkan nilai CPUusage, penggunaan memori serta mampu menormalkan traffic jaringan.
Perancangan Aplikasi Kumpulan Sholawat Berbasis Multimedia Majelis Ta’lim As Salam Masbagik fatimatuzzahra, fatimatuzzahra; Hammad, Rifqi; Anas, Andi Sofyan; Azkari, Adzan Naufal
Jurnal SASAK : Desain Visual dan Komunikasi Vol 5 No 1 (2023): SASAK
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/sasak.v5i1.3027

Abstract

Penelitian ini bertujuan untuk mengembangkan aplikasi multimedia yang memudahkan jamaah dan masyarakat dalam mengamalkan ibadah sunnah, khususnya pembacaan Sholawat dan Maulid Addiya'ulami, tanpa mengabaikan ibadah wajib. Metode pengembangan yang digunakan adalah Multimedia Development Life Cycle, yang terdiri dari enam tahap: konsep, perancangan, pengumpulan bahan, pembuatan, pengujian, dan distribusi.Konsep pengembangan aplikasi ini mencakup identifikasi audiens, aturan dasar perancangan, dan spesifikasi arsitektur program. Tahap perancangan meliputi spesifikasi gaya, tampilan, dan kebutuhan materi. Selanjutnya, tahap pengumpulan bahan dilakukan untuk mengumpulkan semua materi yang dibutuhkan. Tahap pembuatan melibatkan rangkaian materi yang dirangkai berdasarkan desain dari storyboard dan struktur navigasi. Tahap pengujian dilakukan untuk memeriksa kesalahan setelah tahap pembuatan selesai. Tahap distribusi melibatkan implementasi aplikasi dan evaluasi. Hasil penelitian ini mencakup pemahaman tentang konsep Sholawat, jenis-jenis Sholawat, dan penggunaan bahasa pemrograman C# dalam pembuatan aplikasi. Pembahasan hasil penelitian didukung oleh kajian pustaka yang relevan. Selanjutnya, konsep aplikasi Sholawat ini dijelaskan dengan tujuan meningkatkan perkembangan Majelis Taklim dan Sholawat Assalam melalui aplikasi yang dapat diakses melalui perangkat smartphone Android.
Determining a Digital Marketing Strategy Using a Combination of Analytical Network Process (ANP) and Profile Matching Dakwah, Muhammad Mujahid; Roodhi, Mohammad Najib; Suprayetno, Djoko; Kusmayadi, Iwan; Abdurrahman, Abdurrahman; Hammad, Rifqi
Jurnal Bumigora Information Technology (BITe) Vol 6 No 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4125

Abstract

Background: Many MSMEs in the city of Matram are experiencing diculties in determining the digital marketing strategy to use. This is due to the many digital marketing strategies that can be used and the many factors that serve as criteria for selection.Objective: Develop a decision support system using a combination of ANP and profile-matching methods to assist MSMEs in determining the digital marketing strategy to be used.Methods: The method used in this research is a combination of ANP and Profile Matching Methods.Result: The combination of methods (ANP) and Profile Matching in determining digital marketing strategies has an accuracy of 83.33%.Conclusion: The combination of ANP and Profile Matching methods in determining digital marketing strategies has successfully recommended the best digital marketing strategy.
Penerapan Teknologi Tepat Guna untuk Kemandirian Ekonomi dan Pengembangan Desa Kreatif di Desa Selelos, Lombok Utara Putri, Destiana Adinda; Hammad, Rifqi; Komalasari, Husnita; Sukmawaty, Sukmawaty; Putra, Guyup Mahardhian Dwi; Dakwah, Muhammad Mujahid
Jurnal Pengabdian Masyarakat Indonesia Vol 4 No 6 (2024): JPMI - Desember 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3186

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kualitas biji kopi dan nilai jual kopi di Desa Selelos, Lombok Utara, melalui penerapan teknologi tepat guna. Fokus utama dari program ini adalah penerapan alat pengering yang efisien dan alat pengolahan kopi untuk meningkatkan kualitas biji kopi serta efisiensi proses pengolahan. Selain itu, pengembangan sistem informasi berbasis pemetaan wilayah wisata, hasil bumi, dan kelompok tani bertujuan untuk memperbaiki strategi pemasaran dan memperluas akses pasar bagi produk kopi. Program ini dimulai dengan analisis situasi, dilanjutkan dengan sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan diakhiri dengan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam kualitas biji kopi dan efisiensi proses pengolahan, yang berimbas pada peningkatan nilai jual produk kopi. Sistem informasi yang diterapkan mempermudah pemetaan wilayah perkebunan serta manajemen pemasaran, memberikan dampak positif terhadap pemasaran produk kopi. Program ini juga berhasil meningkatkan kesejahteraan petani kopi dengan meningkatkan pendapatan mereka, serta memperkuat kapasitas kelompok tani dalam mengelola hasil bumi secara lebih efektif dan berkelanjutan. Secara keseluruhan, kegiatan ini memberikan kontribusi positif terhadap perekonomian desa dan memperkuat daya saing produk kopi di pasar yang lebih luas.
Comparative Analysis of Stock Price Prediction Using Deep Learning with Data Scaling Method Switrayana, I Nyoman; Hammad, Rifqi; Irfan, Pahrul; Sujaka, Tomi Tri; Nasri, Muhammad Haris
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.650

Abstract

The dynamic and unpredictable nature of stock prices makes accurate forecasting an important challenge in financial analysis. This study aims to compare the performance of three deep learning models, namely, Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM) in predicting stock prices on historical daily banking data from Yahoo Finance. The main objective is to determine the model that is best able to capture sequential patterns and temporal dependencies in stock price movements. Each model was trained and op-timized through data scaling, namely MinMax Scaler and Standard Scaler, with performance evaluated using Root Mean Square Error (RMSE) as the primary metric. Results show that while the RNN provides a basic approach, the GRU and LSTM models produce higher prediction accuracy, with GRU achieving the lowest RMSE thanks to its better ability to maintain long-term depend-encies. The RMSE achieved by RNN, GRU, and LSTM were 211.47, 158.89, and 197.45, respectively. The lowest error results were achieved when using MinMax Scaler. The use of MinMax Scaler here shows a better performance improvement with an average improvement of 22.57% compared to using Standard Scaler. This comparative analysis contributes to providing empirical insight into the relative effectiveness of the tested architectures. The findings suggest that the combination of GRU and MinMax Scaler can be a more reliable tool for financial forecasting, with the potential to develop more robust stock prediction applications under fluctuating market conditions.
Penerapan Sistem Informasi UMKM (SI-UM) berbasis web untuk meningkatkan pemasaran dan pengelolaan keuangan sahabat UMKM NTB Latif, Kurniadin Abd; Auliana, Rini Adriani; Hammad, Rifqi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.26783

Abstract

Abstrak Sahabat UMKM NTB merupakan salah satu komunitas UMKM yang ada di provinsi Nusa Tenggara Barat. Sahabat UMKM NTB sebagai mitra dalam kegiatan pengabdian ini memiliki anggota lebih dari 50 yang terlibat pada kegiatan tersebut. Permasalahan yang diahadapi oleh mitra adalah permasalahan dalam bidang pemasaran dan pengelolaan keuangan. Solusi yang ditawarkan oleh tim pengabdi adalah penerapan sistem informasi UMKM yang dapat membantu dalam pemasaran dan pengelolaan keuangan. Sehingga tujuan dari kegiatan pengabdian ini adalah membantu mitra dalam menerapkan sistem informasi UMKM yang dapat membantu mitra dalam pemasaran produk UMKM dan juga pengelolaan keuangannya. Metode yang dilakukan dalam kegiatan ini terdiri dari 6 tahapan yaitu sosialisasi, pengembangan sistem infromasi, pelatihan pendapingan, evaluasi dan keberlanjutan program. Hasil dari kegiatan ini adalah berupa penerapan sistem informasi UMKM yang dapat digunakan oleh mitra dalam memabntu mengatasi permasalahan di bidang pemasaran dan pengelolaan keuangan. Kata kunci: sahabat UMKM; pengabdian; sistem informasi umkm; pemasaran; pengelolaan keuangan Abstract Sahabat UMKM NTB is one of the MSME communities in West Nusa Tenggara province. Sahabat UMKM NTB as a partner in this service activity has more than 50 members involved in the activity. The problems faced by partners are problems in marketing and financial management. The solution offered by the service team is the implementation of an MSME information system that can assist in marketing and financial management. So that the purpose of this service activity is to assist partners in implementing MSME information systems that can help partners in marketing MSME products and also managing their finances. The method carried out in this activity consists of six stages, namely socialization, information system development, mentoring training, evaluation and program sustainability. The result of this activity is the implementation of an MSME information system that can be used by partners in overcoming problems in marketing and financial management. Keywords: sahabat UMKM; devotion; MSME information system; marketing; financial management
Application of the Blowfish Algorithm in securing patient data in the database Irfan, Pahrul; Hammad, Rifqi; Anas, Andi Sofyan; Fatimatuzzahra; Samudra, Nanang
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i2.102-108

Abstract

Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.
Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method Hammad, Rifqi; Hardita, Veny Cahya; Amrullah, Ahmad Zuli
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i3.109-116

Abstract

The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.
Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island Hammad, Rifqi; Irfan, Pahrul; Panca Mukti, M Thoric
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i1.33-42

Abstract

Lombok Island is one of the islands that has many tourist areas. With so many tourist areas spread to various regions on the island of Lombok, an accurate and comprehensive tourist area mapping system is needed. The problem faced is that the existing mapping is still constrained regarding accuracy and data persistence. The solution offered in this research is the incorporation of geolocation data on the Mapbox platform to improve the accuracy and detail of data in mapping tourism areas on the island of Lombok. In this research, there are several stages carried out starting from data collection to testing. This research results in a tourist area mapping information system that applies geolocation data incorporation on Mapbox. The test results show an increase in accuracy of 8% from the previous mapping and a usability test score of 81 which means that the system developed is acceptable or feasible by users.
Co-Authors Abdul Muhid, Abdul Abdurahman Abdurrahman Ahmad Ahmad Ahmat Adil Al-Mu’min, Al-Mu’min Amrullah, Ahmad Zuli Andi Sofyan Anas Apriani Arfa, Muhammad Astuti, Emi Attaqwa, M.Aswin Syarif Azhar, Raisul Azhari, Anjas Ardiyan Azkari, Adzan Naufal Cahyablindar, Ayu Fatimatuzahra, Fatimatuzahra Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Guyup Mahardhian Dwi Putra Habib Ratu Perwira Negara Hairani Hairani Hardita, Veny Cahya Husain Husain Husnita Komalasari I Made Yadi Dharma I Nyoman Switrayana Kartarina, Kartarina Kurniadin Abd Latif Kusmayadi, Iwan Lestari, I Desak Ayu Adhia M. Hidayatullah Madani, Miftahul Melati Rosanensi Muhammad Haris Nasri Muhammad Innuddin Muhammad Mujahid Dakwah Pahrul Irfan Panca Mukti, M Thoric Puspita Dewi, Puspita Putri, Destiana Adinda Qososyi, Sayidina Ahmadal Qulub, Mudawil Rini Adriani Auliana rodhi, mohammad najib Samudra, Nanang Santoso, Heroe Saputra, Ahmad Hakiki Sembiring, Rinawati Sholeha, Eka Wahyu Sirojul Hadi Sujaka, Tomi Tri Sujaka, Tomy Tri Sukmawaty Sukmawaty, Sukmawaty Suprayetno, Djoko Suriyati, Suriyati Syahrir, Moch. Syarif, M. Aswin Tajuddin, Muhammad Yuliana Yuliana Zamroni Alpian Muhtarom Zuhrian, Naufal Rifqi Zulfikri, Muhammad