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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENGABDI ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) Science Midwifery Jurnal Bumigora Information Technology (BITe) Jurnal Teknik Informatika (JUTIF) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Riset, Ekonomi, Akuntansi dan Perpajakan (REKAN) Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Begawe Teknologi Informasi MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Paradigma Bakti Sekawan : Jurnal Pengabdian Masyarakat Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK)
Pahrul Irfan
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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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.
Development of an Integrated Lecturer Workload Monitoring Information System Using the Prototype Model: PENGEMBANGAN SISTEM INFORMASI PEMANTAUAN BEBAN KERJA DOSEN TERINTEGRASI BERBASIS PROTOTIPE Irfan, Pahrul; Wijaya, I Gede Pasek Suta; Akhyar, Halil; Zubaidi, Ariyan; Zafrullah, Ahmad
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 6 No. 2 (2025): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v6i2.1463

Abstract

Pemantauan beban penugasan dosen di Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram masih dilakukan secara manual dan terpisah. Kondisi ini menyulitkan proses pemantauan serta berpotensi menimbulkan ketidakseimbangan distribusi tugas akademik maupun non-akademik. Untuk mengatasi permasalahan tersebut, dilaksanakan kegiatan pengabdian berupa pengembangan sistem informasi terintegrasi menggunakan metode prototipe, yang meliputi tahapan analisis kebutuhan, perancangan, pengembangan, pengujian, dan implementasi awal. Hasil pengujian menunjukkan sistem berfungsi sesuai spesifikasi berdasarkan Blackbox Testing, sedangkan uji System Usability Scale (SUS) terhadap delapan responden memperoleh skor rata-rata 84,06 yang termasuk kategori Excellent. Temuan ini membuktikan bahwa sistem mudah digunakan, diterima pengguna, dan mendukung efektivitas pemantauan beban kerja dosen. Dengan adanya sistem ini, Program Studi dapat memantau distribusi tugas secara lebih menyeluruh, adil, dan efisien. Selain itu, sistem berpotensi dikembangkan lebih lanjut agar dapat diterapkan tidak hanya di Program Studi Teknik Informatika, tetapi juga pada program studi lain dalam rangka meningkatkan kualitas manajemen beban kerja dosen di lingkungan perguruan tinggi.
Data Augmentation-Driven Predictive Performance Refinement in Multi-Model Convolutional Neural Network for Cocoa Ripeness Prediction Apriani, Apriani; Switrayana, I Nyoman; Hammad, Rifqi; Irfan, Pahrul; Pratama, Gede Yogi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5298

Abstract

Timely and accurate prediction of cocoa fruit ripeness is critical for optimizing harvest schedules, improving yield quality, and supporting post-harvest processing. Conventional visual inspection methods are prone to subjectivity and inconsistencies, especially when distinguishing among multiple ripeness levels based on fruit age. This study proposes a deep learning approach that leverages multi-model convolutional neural network transfer learning combined with image data augmentation to classify cocoa fruit into four maturity stages derived from fruit age. An augmented dataset of cocoa fruit images was used to fine-tune five well-established pre-trained models: MobileNetV2, Xception, ResNet50, DenseNet121, and DenseNet169. Data augmentation techniques were employed to increase variability and improve model generalization. Model evaluation was conducted using a standard 80:20 training-to-testing split to ensure sufficient data for learning while preserving a representative test set across all ripeness classes. The results demonstrate that DenseNet169 consistently outperformed other models, achieving the highest average accuracy of 85,05%, followed by DenseNet121 84,06%. Across all models, the use of data augmentation led to notable performance gains, highlighting its importance in enhancing predictive capability and reducing overfitting. The proposed framework shows promising potential for automating ripeness classification in agricultural contexts, offering a robust, scalable, and accurate solution for intelligent cocoa harvest management. This work contributes to the growing application of deep learning in precision agriculture, particularly in addressing fine-grained classification problems using limited but enriched visual data.
Selection of Outstanding Students Using AHP and Profile Matching Nasri, Muhammad Haris; Hammad, Rifqi; Irfan, Pahrul
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3189

Abstract

The determination of outstanding students is the giving of awards to those who excel in academic and non-academic fields, aimed at motivating increased achievement. However, this process is often hampered by various criteria that must be considered, such as English language skills, work results, awards, and so on. The solution offered to overcome this problem is the development of a decision support system for selecting outstanding students using the AHP and Profile Matching methods. So, the aim of this research is to develop a decision support system for selecting outstanding students using a combination of the AHP and Profile matching methods, where later the system developed can assist decision makers in determining outstanding students. The results obtained from this research are a decision support system that uses 8 criteria and 26 alternative sample data which shows that "Mahasiswa F" is an outstanding student with a score of 4.09. The results of manual calculations with the system show similarities, which shows that the system developed is in accordance with expectations.
SISTEM INFORMASI AKADEMIK DI RUMAH TAHFIZH AN-NAWAWI KAPEK GUNUNGSARI LOMBOK BARAT: Academic Information System at Rumah Tahfizh An-Nawawi Kapek Gunungsari West Lombok Ekaputra, Galang Prasetya; Dwiyansaputra, Ramaditia; Dani, Muhammad; Irfan, Pahrul; Rassy, Regania Pasca
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 2 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i2.1209

Abstract

Rumah Tahfizh Qur’an adalah lembaga pusat kegiatan pembelajaran dan penghafalan Al-Qur’an, serta penerapan dan pembudayaan nilai-nilai Qur’ani dalam kehidupan sehari-hari, yang berbasis pada tempat tinggal, lingkungan, dan komunitas. Rumah Tahfizh An-Nawawi adalah salah satu lembaga keagamaan yang telah berkembang seiring waktu dan diikuti oleh peningkatan jumlah santri. Karena itu, diperlukan inovasi untuk memanfaatkan era digital saat ini agar lebih mudah mengatur sistem akademiknya. Tujuan dari pengabdian kepada masyarakat ini adalah untuk merancang dan membangun sistem informasi akademik Rumah Tahfizh An-Nawawi menggunakan framework laravel. Sistem ini dibangun dengan menggunakan metode pengembangan waterfall dan black box testing sebagai pengujiannya. Berdasarkan hasil pengujian menggunakan metode black box testing terhadap fungsionalitas sistem yang dibuat, dapat disimpulkan bahwa sistem yang telah dibangun dapat berjalan dengan baik.
APLIKASI ENKRIPSI CITRA MENGGUNAKAN ALGORITMA KRIPTOGRAFI ARNOLD CAT MAP Dan LOGISTIC MAP Pahrul Irfan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 16 No. 1 (2016)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v16i1.14

Abstract

Data security in the process of information exchange is very important. One way to secure the image is to use cryptographic techniques. Cryptographic algorithms applied to the image is used to randomize the position of pixels using a secret key parameters, so that images can not be recognized anymore after the encryption process. In this study, researchers used the algorithm of chaos known as algorithms compact, fast and commonly used in cryptography especially those in the image file. The results showed the image that has been through an encryption process can not be recognized because the randomization process image pixel position is performed using chaos algorithm.
Sistem Informasi Pemasaran Paket Tour Koperasi Karya Wisata Senggigi Berbasis Web Muhammad Ali Akbar Hutasuhut; Pahrul Irfan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 1 (2018)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i1.322

Abstract

Sektor pariwisata sebagai kegiatan perekonomian telah menjadi andalan potensial dan prioritas pengembangan bagi sejumlah Negara.Terlebih bagi negara berkembang seperti Indonesia yang memiliki potensi wilayah yang luas dengan daya tarik wisata yang cukup besar. Koperasi Karya Wisata Senggigi (KOPKARWIS) adalah sebuah koperasi yang bergerak dalam bidang pariwisata dengan menyediakan jasa Tour and Travel di daerah Senggigi. Masalah yang di hadapai Koperasi Karya Wisata Senggigi adalah tentang pemasaran paket-paket tour yang mereka tawarkan dan menghubungi driver/guide. Adapun tujuan dari penelitian ini, yaitu Membangun sebuah Sistem Informasi Pemasaran Paket Tour Koperasi KARYA WISATA Senggigi Berbasis Web. Perancangan dan Pembuatan Aplikasi menggunakan metodologi Waterfall, yaitu metode mengembangan perangkat lunak yang diawali dengan menganalisa kebutuhan perusahaan, membuat merancang, membangun aplikasi dengan tools, dan melakukan ujicoba pada pengguna. Hasil yang dicapai yaitu berupa Sistem Informasi Pemasaran Paket Tour Koperasi KARYA WISATA Senggigi yang dapat membantu operasional koperasi. Berdasarkan hasil quisioner yang diberikan kepada pengguna, aplikasi yang dibangun dapat dipahami dan mudah digunakan dalam memberikan informasi pemesanan serta meningkatkan pemesanan dan sesuai dengan kebutuhan pengguna. Aplikasi Sistem Informasi Pemasaran Paket Tour Koperasi KARYA WISATA Senggigi Berbasis Web telah berhasil dibangun.
Development of a web-based poedji rochjati score information system for early detection of high-risk pregnancy Lestari, Humaediah; Irfan, Pahrul; Azamti, Baiq Nova Aprilia
Science Midwifery Vol 13 No 6 (2026): February: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i6.2233

Abstract

Maternal mortality remains a critical public health issue that can be reduced through effective early detection of high-risk pregnancies. In Indonesia, the Poedji Rochjati Score Card (KSPR) is widely used as a screening tool; however, its implementation is predominantly manual, leading to inefficiencies in data management, risk classification, and continuity of antenatal care. This study aims to develop a web-based Poedji Rochjati Score to support early detection of high-risk pregnancies at the primary healthcare level. This research employed an applied research and development design using the Rapid Application Development (RAD) method. The results indicate that the developed system successfully automates KSPR scoring and pregnancy risk classification based on standardized criteria. The system improves the accuracy and consistency of risk assessment, enhances maternal health data management, and supports longitudinal monitoring of pregnancy risk status. Implementation findings show that the system facilitates more efficient antenatal care services and provides structured risk reports to support clinical and referral decision-making. This study contributes to applied health informatics by demonstrating how standardized maternal risk screening can be effectively digitalized at the primary healthcare level. In conclusion, the web-based Poedji Rochjati Score information system offers an effective and innovative solution for strengthening early detection of high-risk pregnancies. The integration of a standardized screening tool with digital technology enhances screening accuracy, service efficiency, and data continuity in antenatal care. This study provides a practical foundation for further development and wider implementation of digital maternal health screening systems to support improved maternal healthcare quality.
KLASIFIKASI PENYAKIT PNEUMONIA PADA X-RAY PARU-PARU MENGGUNAKAN MODEL HYBRID GRAY LEVEL CO-OCCURRENCE MATRIX DAN ARTIFICIAL NEURAL NETWORK Rahmadi, Amdila; Wijaya, I Gede Pasek Suta; Irfan, Pahrul
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.534

Abstract

Pneumonia is a leading cause of morbidity and mortality, particularly in children, requiring rapid and accurate diagnosis. This study proposes a hybrid classification model that combines Gray Level Co-occurrence Matrix (GLCM) texture feature extraction with an Artificial Neural Network (ANN) to analyze chest X-ray images. The dataset consisted of 3,150 images, balanced using random undersampling. GLCM features were extracted across multiple distances and four orientations, generating 19 texture features per image. Seven experimental scenarios were conducted to evaluate ANN architectures with 2, 3, and 4 fully connected layers to identify the most effective configuration. The best-performing model achieved an accuracy of 91.50%, with precision, recall, and F1-score of 0.91, demonstrating consistent performance in distinguishing normal and pneumonia cases. Due to its relatively low computational complexity, this approach is suitable for low-resource healthcare settings. Future work will focus on expanding the dataset and validating the model with clinical data to enhance real-world applicability.
ANALISA STRATEGI PENGEMBANGAN E-TOURISM SEBAGAI PROMOSI PARIWISATA DI PULAU LOMBOK Irfan, Pahrul; Apriani, Apriani
ILKOM Jurnal Ilmiah Vol 9, No 3 (2017)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v9i3.164.325-330

Abstract

Sektor pariwisata merupakan salah satu sektor yang memiliki potensi yang besar untuk meningkatkan pendapatan negara dan daerah. Untuk itu diperlukan upaya dalam pengembangan pariwisata di Indonesia. Salah satu program dari pemerintah untuk meningkatkan jumlah wisatawan adalah dengan memprioritaskan pembangunan pariwisata di 10 lokasi yang salah satunya adalah Pariwisata Pulau Lombok. Selain dengan pembangunan daerah pariwisata, hal lain yang dapat dilakukan untuk menaikkan jumlah wisata adalah dengan pemanfaatan teknologi informasi sebagai media promosi melalui e-tourism. Tujuan dari penelitian ini adalah untuk melihat dan menganalisa perkembangan e-tourism yang ada di Pulau Lombok sebagai salah satu cara mempromosikan pariwisata di Pulau Lombok. Teknik analisis yang digunakan pada penelitian ini adalah teknik analisis SWOT dengan melihat faktor internal (kekuatan dan kelemahan) dan faktor eksternal (peluang dan ancaman) yang berkaitan pada perngembangan e-tourism di Pulau Lombok. Hasil dari penelitian ini dapat digunakan oleh pemerintah ataupun pihak terkait dalam menentukan arah pengembangan pariwisata di Pulau Lombok.
Co-Authors - STMIK Bumigora, Apriani Adriyansah Efendi Noor Ahmad Ahmad Ahmad Ahmad Ahmad Ahmad Zuli Amrullah Al Faras, Daffa ilyas Andi Sofyan Anas Apriani Apriani Apriani Apriani Aprilia Azamti, Baiq Nova Arfa, Muhammad Azhari, Anjas Ardiyan Cahyablindar, Ayu Cristofer Satria Dwiyansaputra, Ramaditia Ekaputra, Galang Prasetya Faizin Ahmad Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Gilang Primajati Habib Ratu Perwira Negara Hadi, Risman Hairani Hairani Halil Akhyar Hammad, Rifqi I Gede Pasek Suta Wijaya I Nyoman Switrayana Ismarmiaty, Ismarmiaty Kartarina, Kartarina Kurniadin Abd Latif Lalu Rojib Cipto Lestari, Humaediah M. Hidayatullah Mardedi, Lalu Zazuli Azhar Muayyadin, Muhammad Muhamad Azwar Muhammad Ali Akbar Hutasuhut Muhammad Dani Muhammad Haris Nasri Muhammad Innuddin Muhammad Yunus Muhammad Zulfikri Muhammad Zulfikri Nanang Samudra Novaely Rachman Nurcahyo, Azriel Christian Panca Mukti, M Thoric Pratama, Gede Yogi Qulub, Mudawil Rahmadi, Amdila Rassy, Regania Pasca Rifqi Hammad Rony Arzian Rukmin Ulfa Ayu Lestari Samudra, Nanang Satria, Cristofer Suriyati ., Suriyati Syahrir, Moch. Yudi prayudi Yuliana Yuliana Zaenal Abidin Zaenal Abidin Zafrullah, Ahmad Zubaidi, Ariyan Zuhrian, Naufal Rifqi Zulfikri, Muhammad