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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Begawe Teknologi Informasi Jurnal Multidisiplin Sahombu Journal of Social Work and Empowerment
Murpratiwi, Santi Ika
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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SISTEM INFORMASI DINAS KELAUTAN DAN PERIKANAN KABUPATEN DOMPU PROVINSI NUSA TENGGARA BARAT BERBASIS WEBSITE MENGGUNAKAN FRAMEWORK BOOTSTRAP DAN CODEIGNITER: Information Systems for Marine Affairs and Fisheries of Dompu District, West Nusa Tenggara Province Based on a Website Using Bootstrap and Codeigniter Framework Munirah, Zahrahtun; Murpratiwi, Santi Ika; Ramlah, Ramlah
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.v5i2.1294

Abstract

Dinas Kelautan dan Perikanan Kabupaten Dompu Provinsi Nusa Tenggara Barat adalah lembaga pemerintah yang bertanggung jawab atas pengelolaan, pengembangan, dan perlindungan sumber daya kelautan dan perikanan. Salah satu peran pentingnya yaitu mengkoordinasikan kegiatan pengelolaan sumber daya kelautan dan perikanan, termasuk penangkapan ikan yang berkelanjutan, pengembangan budidaya perikanan serta pelestarian lingkungan laut. Saai ini Kelautan dan Perikanan sudah memiliki website company profile untuk menyajikan informasi terkait kantor tersebut, akan tetapi website tersebut memiliki fitur-fitur yang kurang lengkap seperti tidak adanya foto-foto dari unit kerja dari seluruh pegawai yang bekerja serta tidak adanya sistem validasi oleh Kapala Bidang pada saat admin menginputkan berita. Dengan dibuatnya sistem informasi ini, dapat memberikan aksesibilitas informasi kepada masyarakat terkait dengan layanan, program, kebijakan, dan kegiatan yang diselenggarakan oleh Dinas Kelautan dan Perikanan Kabupaten Dompu Provinsi Nusa Tenggara Barat.
Prediksi Sebaran Hama Tikus Pada Tanaman Padi Menggunakan Metode Backpropagation Neural Network Arimawarni, Rafika; Sugiartawan, Putu; Murpratiwi, Santi Ika
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.175

Abstract

OPT (Plant Pest Organisms) is any activity or activities that damage and kill plants, one of which is caused by pests, diseases, viruses, etc. In Bali, especially in Tabanan Regency, OPT cases are still very high. OPT in rice plants caused by rats is a problem faced by farmers and in the future, it must be prevented by knowing the spread of rats. Therefore, the purpose of this research is to help farmers prevent pest attacks so that rice productivity can be increased. In this study, the backpropagation neural network method was used to predict the distribution of rat pests on rice plants. This method uses previous data, namely from 2012-2021 when the data is processed and calculated until the smallest error value is obtained. In this study, data were obtained from calculating the distribution of pests in hectares which showed a percentage difference in accuracy error of 16.2%, which means that the prediction of this calculation is good enough to be used as a reference for further research
Prediksi Sebaran Hama Padi Dengan Metode LSTM Pada Pertanian Padi Di Buleleng Negara, I Gede Sunia; Sugiartawan, Putu; Murpratiwi, Santi Ika
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.176

Abstract

Prediction is a systematic process of estimating future values based on patterns contained in data that has been converted into numerical form. In this study, the aim was to predict the distribution of rice borer in Buleleng district which could endanger the productivity of the rice agricultural sector. One of the methods used in this research is Long Short Term Memory (LSTM), a form of development of Recurrent Neural Network (RNN) which is suitable for processing and predicting time series data. The data used in this study is rice borer attack data for the last ten years, from 2012 to 2021. The results show that the LSTM model has an MAE data testing of 16.8149 and MAPE data testing of 2.356%, and MAE data training of 16.8149 and MAPE data training of 2,356%. These values measure the prediction error with the MAE and MAPE techniques. With these results, the agricultural service can recognize the pattern of distribution of rice borer attacks in the region and take appropriate action to overcome them.
Incremental CNN-k-NN Hybrid Facial Recognition for Helmeted Facial Recognition in IoT-Enabled Smart Parking: A Case Study at Universitas Mataram Widiartha, Ida Bagus Ketut; Husodo, Ario Yudo; Thuy, Tran Thi Thanh; Murpratiwi, Santi Ika
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5447

Abstract

Helmeted rider identification challenges traditional facial recognition, especially in Indonesian campuses like UNRAM, where motorbike use is prevalent and theft risks are high. This study develops a hybrid CNN-k-NN system for secure parking access. The dataset contains 2,800 augmented images (Haar Cascade crop, 224x224 grayscale), with features extracted via VGG16/ResNet and classified using k-NN (k=1, Euclidean/Cosine). The system achieves 95.62% accuracy, with precision, recall, and F1 scores of 0.96. Incremental retraining reduces processing time to under 1 second, compared to 30 minutes for full retraining. The use of cosine similarity improves accuracy slightly over Euclidean distance. This solution enhances IoT-based smart campuses by enabling efficient, real-time identification and reducing theft by improving access control. It is adaptable to low-resource environments, supporting scalable deployments in smart parking and campus security systems.
Redesign of UI/UX for the Website of the Regional Finance Agency (BKD) of Mataram City Using the User‑Centered Design (UCD) Method: PERANCANGAN ULANG UI/UX PADA WEBSITE BADAN KEUANGAN DAERAH (BKD) KOTA MATARAM MENGGUNAKAN METODE USER CENTERED DESIGN (UCD) Furkon, Raizul; Murpratiwi, Santi Ika; Wirahadi, Wirahadi; Agitha, Nadiyasari
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 1 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i1.1487

Abstract

Penelitian ini bertujuan untuk merancang ulang User Interface (UI) dan User Experience (UX) pada website Badan Keuangan Daerah (BKD)Kota Mataram menggunakan metode User Centered Design (UCD). Proses perancangan ulang ini terdiri dari empat tahapan utama, yaitu menentukan konteks penggunaan, melakukan analisis kebutuhan pengguna dan institusi, melakukan perancangan antarmuka menggunakan Figma, dan melakukan evaluasi desain menggunakan metode System Usability Scale (SUS). Hasil evaluasi menunjukkan bahwa desain baru website BKD Kota Mataram memperoleh skor rata-rata SUS sebesar 70,52 yang termasuk ke dalam kategori Marginal dan grade C. Hasil ini mengindikasikan bahwa desain baru sudah cukup baik dan dapat diterima pengguna meskipun masih memerlukan penyempurnaan agar lebih optimal. Perancangan ulang ini diharapkan dapat meningkatkan kenyamanan, kemudahan akses, dan meningkatkan pengalaman pengguna dalam memperoleh informasi publik secara digital melalui website BKD Kota Mataram.
Co-Authors Abdul Manan Adawiyah, Baiq Safitri Rabiah Afwani, Royana Agitha, Nadiyasari Agus Gunawan Al Qadri, Ramadhani Alamsyah, Noor Albar, Moh Ali Albar, Moh. Ali Anjarwani, Sri Endang Aranta, Arik Arimawarni, Rafika Ario Yudo Husodo, Ario Yudo Aristana, Made Dona Wahyu Bimantari, Joselina Rizki Budi Irmawati Cahyani, Armita Dwi Dwi Ratnasari Fitri Bimantoro Furkon, Raizul Heri Wijayanto Huwae, Raphael Bianco I B K Widiartha I Gede Pasek Suta Wijaya I Gusti Agung Indrawan I Nyoman Widhi Adnyana I Wayan Agus Arimbawa, I Wayan Agus I Wayan Dharma Suryawan Irawati, Lulu Iswani, Fahrona Jatmika, Andy Hidayat Jatmiko, Andy Hidayat Jayusman, Dirga Kansha, Lyudza Aprilia Kompiang Martina Dinata Putri Kurrotaa'yun, Baiq Dwi Zulianti Luh Putu Rara Ayu Ratnaningrum Luqyana, Salsabila Made Sudarma Mantika, Salsabilla Meinarni, Ni Putu Suci Mulyawan, I Putu Arya Munirah, Zahrahtun Negara, I Gede Sunia Ni Kadek Ariasih, Ni Kadek Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Widantari Suandana Nurjamil, As'ad Muzakki Paramita, Delia Pramawati, I.D.A Tantri Putra, Putu Satria Udyana PUTU SUGIARTAWAN Raihan, Muhammad Dzulhi Rakhman, Mustafa Zohri Ramlah Ramlah Rassy, Regania Pasca Rizki, Muhammad Ainur Rosika, Herliana Rukmi Sari Hartati Sari, Gita Mailand Sari, Ni Wayan Yunita Suhada, Destia Thuy, Tran Thi Thanh Trieanto, Agil Ulya, Uswatul Wardiani, Nazmi Wirahadi, Wirahadi Zulqarami, Hilman