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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Ayu Wirdiani
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Architectural Design of an Electronic Based Government System (Case Study of XYZ district government) Yanti, Lidya; Wirdiani, Ni Kadek Ayu; Githa, Dwi Putra
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 1 (2024): Vol. 12, No. 1, April 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i01.p05

Abstract

The design of the Electronic-Based Government System Architecture to develop basic framework related to integration between SPBE Architecture domains, such as Business Processes, Services, Applications, Data and Information, Infrastructure, and Security. The results showed the SPBE mapping produces 17 business processes, 44 services, 112 applications, 123 data and information. SPBE infrastructure mapping has several divisions, such as computing facilities, platforms, and system integration. SPBE security mapping has several parts, such as technical standards and security procedures, SPBE security implementation, and SPBE security feasibility. The SWOT analysis concludes the strengths are business processes, services, and SPBE applications are sufficient to support the performance of government administration services and public services. The incomplete data used to complete the infrastructure and security domains of SPBE is a weakness, opportunity, and threat. The opportunity is can provide a clear direction in the implementation of SPBE has the opportunity to increase the SPBE index value. Keywords: Architectural Design, Government System Based Electronic, SPBE, SWOT Analysis.
Classification of Meat Freshness using Deep Learning Wirdiani, Ayu; Oka Sudana, Agung
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 1 (2024): Vol. 12, No. 1, April 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i01.p01

Abstract

Meat is a source of food protein that is quite popular among people. The price of meat tends to be expensive, causing many meat sellers to mix fresh meat with less fresh meat. Meat that is not fresh enough can affect the health of people who consume it. Based on these problems, research was created that can differentiate the freshness of meat using digital images. In this research, the meat that will be used as research objects is beef and chicken. The freshness of meat will be differentiated based on color and texture using deep learning. The processes carried out are the preprocessing process, data augmentation, feature extraction is carried out using color features and texture features using the Gray Level Cooccurrence Matrix (GLCM) method, training process and classification process using deep learning. The training process is carried out using the CNN method, such as ResNet 18, ResNet 34 and ResNet 50 architectures. The test results using three types of ResNet architecture obtained the best results using ResNet18, epoch 10 with an accuracy of 94%.
Design and Implementation of Telegram Bot for Integrated Hospital Information System Sudana, Oka; Paramartha, Ary; Wirdiani, Ayu; Rusjayanthi, Dwi
JST (Jurnal Sains dan Teknologi) Vol. 11 No. 1 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.38 KB) | DOI: 10.23887/jstundiksha.v11i1.41304

Abstract

Masih banyak rumah sakit umum belum memanfaatkan telegram bots API. Telegram Bots memungkinkan multi-channel access untuk memudahkan akses data yang dimiliki oleh sistem informasi. Setiap bagian rumah sakit membutuhkan modul yang berbeda. Modul perlu diintegrasikan agar aliran pertukaran data menjadi lebih mudah. Penggunaan internet messenger seperti telegram dapat mempermudah proses integrasi yang dibutuhkan, sehingga pengguna dapat dengan mudah mendapatkan informasi dari sistem. Tujuan penelitian ini yaitu untuk mengembangkan sistem informasi rumah sakit yang terintegrasi dengan bot telegram. Pengujian sistem dilakukan di laboratorium oleh 30 pengguna sebagai pasien dan satu pengguna sebagai administrator. Pengujian sistem menggunakan metode black box dengan fokus pada input, fungsionalitas, dan output untuk semua proses antrian. Bot telegram ini menggunakan bantuan cronjobs dan webhooks untuk mengambil informasi dan menjalankan perintah pengiriman pesan untuk bot telegram. Hasil yang ditunjukkan pada penelitian ini adalah telegram bot yang dirancang untuk diuji menggunakan user acceptance test (UAT) dengan hasil respon yang sangat positif dan dianggap berhasil. Bot telegram ini memfasilitasi pasien dan pekerja rumah sakit untuk mendapatkan informasi dengan segera.
Perbandingan Metode Artificial Neural Network dan Convolutional Neural Network untuk Memprediksi Jumlah Distribusi Air di PDAM Kota Denpasar Bayupati, I Putu Agung; Dewi, Anak Agung Ayu Sintya; Wirdiani, Ni Kadek Ayu
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 2 (2023): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i2.47800

Abstract

Kelangsungan hidup di dunia pasti tidak akan bisa terlepas dari penggunaan air. Seiring dengan berkembangnya zaman tentu akan diikuti dengan bertambahnya jumlah penduduk yang juga akan berdampak terhadap meningkatnya kebutuhan air bersih. PDAM merupakan salah satu instansi yang melayani ketersediaan air bersih. Tujuan diadakannya penelitian ini untuk melakukan peramalan terhadap jumlah distribusi air di PDAM Kota Denpasar dengan membandingkan metode ANN (Artificial Neural Network) serta CNN (Convolutional Neural Network) yang juga melibatkan proses seleksi fitur menggunakan metode SFS (Sequential Forward Selection). Pendekatan kuantitatif digunakan untuk melakukan proses peramalan terhadap jumlah distribusi air (Y) dengan melibatkan fitur jumlah produksi (X1), kebocoran (X2), pembelian (X3), dan pelanggan air (x4). Hasil seleksi fitur dengan metode SFS menujukkan bahwa jumlah produksi air (X1) dan kebocoran air (X2) dengan tingkat kesalahan sebesar 0.031069 tepat digunakan untuk membentuk model peramalan jumlah distribusi air dengan metode ANN yang menghasilkan nilai MSE dan MAPE berturut-turut sebesar 0.040 serta 2.02%. Berdasarkan hasil yang diperoleh, model yang dikembangkan termasuk model peramalan yang sangat baik, sehingga tepat digunakan untuk melakukan proses peramalan jumlah distribusi air.
Sistem Informasi Manajemen Kependudukan Desa Adat di Bali Sudana, Anak Agung Kompiang Oka; Purnawan, Abdi; Putra, I Ketut Gede Darma; Wirdiani, Ni Kadek Ayu
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 2 (2023): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i2.52227

Abstract

Proses pendataan kependudukan di Desa Adat masih dilakukan secara manual sehingga rentan terjadi kesalahan dalam pencatatan data. Permasalahan ini mendorong untuk mengembangkan sistem informasi yang dapat membantu pihak Desa Adat sehingga mempermudah pihak Desa Adat dalam melakukan pendataan kependudukan di lingkungannya serta terintegrasi antara satu Desa Adat dengan Desa Adat lain. Tujuan dari penelitian ini adalah untuk menciptakan sistem informasi manajemen kependudukan desa adat terintegrasi berbasis web. Pengumpulan data pada penelitian ini dilakukan dengan studi literatur beserta wawancara langsung dengan beberapa Prajuru Banjar  Adat dan/atau Prajuru Desa Adat di Bali serta Dinas Pemajuan Masyarakat Adat. Hasil dari proses studi literatur beserta wawancara tersebut diterjemahkan kedalam desain sistem, yaitu gambaran umum sistem, diagram konteks, data flow diagram, dan desain basis data. Penelitian ini dilakukan dengan menggunakan Metode SDLC (Software Development Life Cycle) Model Waterfall dan dikembangkan menggunakan Bahasa pemrograman PHP, dengan Kerangka Kerja Laravel, dan Basis Data MySQL. Hasil dari penelitian ini yaitu sebuah sistem informasi yang membantu manajemen kependudukan Desa Adat yang telah diuji dengan menggunakan Metode Black Box dan Post-Study System Usability Questionnaire (PSSUQ) dan mendapatkan nilai yang baik dibandingkan dengan norma penilaian pada Metode PSSUQ. Sehingga sistem dikategorikan mampu membantu proses pengelolaan data penduduk pada Desa Adat.
E-Dharmagita Learning Model Innovation with Mobile and Multimedia Technology Sudana, Oka; Sukma, Kd. Vigyan Melati; Wirdiani, Ayu; Putri, Gusti Agung Ayu
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.46653

Abstract

Purpose: Yadnya ceremony is a sacred sacrifice performed with sincere and wholehearted devotion by Hindus to God, spiritual leaders or teachers, fellow humans, the ancestors, and Bhuta_Kala. The implementation of the Yadnya ceremony is_usually accompanied by a spiritual chant of the Hindus known as Dharmagita. Nowadays, a lot of young generations do not know and are even more indifferent to the Dharmagita. Using books as a source of Dharmagita information is less attractive since there are no audio examples or recordings of correct songs that can be listened to. The Android-based e-Dharmagita application was built to overcome these problems to facilitate the younger generation in getting more interesting information about Dharmagita.Methods: e-Dharmagita was constructed with the support of mobile and multimedia technology. In addition, the information presented was related to the Yadnya Ceremony by implementing a complex Tree Algorithm.Results: This research produced an e-Dharmagita Application, of which user acceptance testing using the PSSUQ Method resulted in a score incudes in the excellent category. Therefore, the application could be accepted well in the implementation the Information Technology in Balinese Culture and Hinduism, especially the innovation of a more modern and attractive Dharmagita learning model.Novelty: The Dharmagita learning model using a mobile application is a new model that has not existed before.
Fine-tuned LayoutLMv3 for Indonesian receipts extraction Oka Sudana; Ayu Wirdiani; Andre Dwi Winama Putra
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10127

Abstract

Shopping is a transaction that generates a record as a payment receipt. Typically, a receipt is given as a small piece of paper that can be easily lost. It is essential to store the transaction information in the receipt digitally. Keeping the information in a digital form will make it easily accessible and will overcome the problem of easily lost receipts. Currently, the process of transferring receipt information into digital form is still being done manually. Having a system that can extract this information helps speed up the digitalization process tremendously. This research proposes a method that applies finetuning to the LayoutLMv3 model and with the help of optical character recognition (OCR) from Google Vision, can be used to extract transaction information contained in the receipt. The system works by using Google Vision to parse and segment every word contained within the receipt and its bounding box The LayoutLMv3 model will then assign labels to each word, and important words will be extracted. The finetuned LayoutLMv3 model successfully achieved an accuracy of 97.98% on training data and 90% accuracy on real-time test scenarios for extracting information on receipts written in the Indonesian.
Face Dermatological Disorder Identification with YoloV5 Algorithm Ayu Wirdiani; Lennia Savitri Azzahra Lofiana; I Putu Arya Dharmadi; Oka Sudana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6237

Abstract

Dermatological disorders are common in humans. The accurate identification of skin diseases is paramount for determining the most efficacious treatment. This system can screen images of skin diseases on the face and provide analysis results in the form of object detection. Dermatological disorders of the face are classified into six categories: acne nodules, melasma, filiform warts, milia, papules, and pustules. The YoloV5 algorithm was selected because of its effectiveness in live-detection tasks. The image-enhancement process involves the implementation of two methodologies: sharpening and histogram equalization. The former adjusts the brightness values whereas the latter adjusts the contrast values. The dataset comprised 1,223 images of skin diseases, with 947 images allocated for training and 276 for validation. The optimal mAP of the filiform wart class was determined to be 87.6%, with values of 76.7% for pustules, 72% for papules, 71% for milia, 68% for nodules, and 38.2% for melasma, representing the lowest value. The low mAP of melasma was attributed to the abstract image data type and complexity of localization. The congruence of object features and disparity in data variance has the potential to influence outcomes.
Co-Authors Adityaksa, I Gede Made Abhi Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Anak Agung Putu Mahendra Putra Ananda Paramartha Andre Dwi Winama Putra Angga Kusuma, Angga Ardhani, Ni Komang Sucitra Arsa, Dewa Made Sri Candradinata, Putu Bagus Dewi, Anak Agung Ayu Sintya Dharma Prateka Atmaja Dharma Prateka Atmaja, Dharma Prateka Dicky, Devtian Dwi Putra Githa Dwi Rusjayanthi, Dwi Eka Candyasa Pratyaswara G M Arya Sasmita Gusti Agung Ayu Putri Hridayami, Praba I Dewa Nym. Nurweda P., I Gde Arya Aristha I Gusti Lanang Trisna Sumantara I Gusti Ngurah Indra Mahathanaya I Ketut Adi Purnawan I Ketut Gede Darma Putra I Made Agus Dwi Suarjaya I Made Sukarsa I Nyoman Piarsa I Putu Agung Bayupati I Putu Agus Eka Pratama I Putu Arya Dharmadi I Putu Pratama Andika Ida Bagus Gede Jayeng Gotama Jayantha, I Putu Deva Kadek Meliantari Krisna Cahaya Putra I Putu Krissna Bayu Lennia Savitri Azzahra Lofiana Made Bagus Winanda Radityatama Mahaputra, Pande Bagus Narendra Mentari Harmadya Ni Kadek Ary Indah Suryani Ni Kadek Cinthya Bandinithya Dewi Ni Kadek Yuliastin Ni Luh Putri Ari Wedayanti Ni Made Ika Marini Mandenni Oka Sudana, Agung Paramartha, Ary Permana, Kadek Arya Putra Pradnyani Wulantari, I Gusti Putu Agung Purnawan, Abdi Putu Arya Hening Tryasthana Putu Riyaldi Putra Narendra Putu Teguh Krisna Putra Putu Wira Buana Putu Wulan Dewi Prihandani Raharja, Sunia Rismawan, Komang Diva Robiulla, Isna Wanda Rusjayanthi, Ni Kadek Dwi Saraswati, Ni Luh Putu Giri Gita Setyo Hadi Kusumo Sudana, A. A. Kompiang Oka Sukma, Kd. Vigyan Melati Tania Maria Octarina Tantoni Hardiwinata Taradhita, Dewa Ayu Nadia Widiari, Ni Putu Ayu Yanti, Lidya