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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SMARTICS Journal JUTIK : Jurnal Teknologi Informasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL PENGABDIAN KEPADA MASYARAKAT Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PETIK JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Tekno Kompak Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) JISA (Jurnal Informatika dan Sains) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS International Journal of Advances in Data and Information Systems Jurnal Sistem Komputer dan Informatika (JSON) BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Restikom : Riset Teknik Informatika dan Komputer Insyst : Journal of Intelligent System and Computation Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) Jurnal Info Sains : Informatika dan Sains AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi Room of Civil Society Development Jurnal Pengabdian Masyarakat Dharma Andalas Jurnal Pengabdian Kepada Masyarakat Radisi Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal ilmiah teknologi informasi Asia Room of Civil Social Development JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Nyoman Purnama, Nyoman
Primakara University
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Comparison of Deep Neural Network Architectural Models for Predicting Tourist Visits to Bali during the Pandemic Period Purnama, Nyoman
Journal of Intelligent Computing & Health Informatics Vol 3, No 2 (2022): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i2.11168

Abstract

Tourism plays a critical role in any economy as it provides a source of income for communities. Bali, one of Indonesia's provinces, holds significant potential in the tourism industry, with a majority of its population employed in this sector. However, fluctuations in tourist visits can pose challenges when creating policies to address issues in the field. Therefore, forecasting is necessary to anticipate post-pandemic tourist arrival patterns to ensure a smooth tourism recovery process. Forecasting is a vital tool that assists in making sound decisions. In this study, we utilized three forecasting methods: Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). We took a comparative approach, using these three deep neural network architectures to predict tourist visits to Bali during the pandemic. We tested the architectural models using datasets from Badan Pusat Statistik (BPS) and evaluated the model's performance using RMSE and MAE. The results showed that the LSTM model outperformed the CNN and GRU models, with an RMSE value of 0,329036 and MAE value of 0,285874. Based on the study, we can conclude that the LSTM model performed better and can predict tourist arrivals in Bali with reasonable accuracy
PENERAPAN ALGORITMA ADABOOST UNTUK OPTIMASI PREDIKSI KUNJUNGAN WISATAWAN KE BALI DENGAN METODE DECISSION TREE Purnama, Nyoman; Utami, Nengah Widya
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 8 No 2 (2023): JUSIM (Jurnal Sistem Informasi Musirawas) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v8i2.2197

Abstract

Bali merupakan salah satu pulau di Indonesia yang memiliki keindahan alam yang cukup memukau. Dimana pariwisata berkontribusi penuh terhadap perekonomian warga yang ada di Bali. Semenjak terjadinya pandemi covid 19 yang berkepanjangan, mengakibatkan turunnya perekonomian masyarakat di Bali pada umumnya. Hal ini disebabkan kunjungan wisatawan yang berkurang secara signifikan tiap harinya. Prediksi kunjungan wisatawan menjadi suatu hal yang penting bagi pemerintah ataupun industry pariwisata untuk memberikan kebijakan-kebijakan yang berhubungan dengan perekonomian masyarakat Bali. Metode Decission Tree Regression(DTR) merupakan salah satu metode yang digunakan untuk memprediksi kunjungan wisatawan. Metode ini merupakan salah satu metode regresi yang bisa digunakan untuk data time series serta mudah digunakan. Namun DTR memiliki kelemahan yang rentan terhadap over fitting dan sensitif terhadap derau. DTR kemudian digabungkan dengan ensemble learning untuk meningkatkan stabilitas dan akurasi prediksi. Salah satu metode ensemble yang bisa digunakan yakni ADABOOST. Pada penelitian ini dilakukan optimasi prediksi kunjungan wisatawan ke Bali dengan metode Decision tree, dan dihasilkan nilai MAE yang lebih baik setelah dilakukan optimasi dengan Adaboost yaitu sebesar 59492.583.
Perancangan UI/UX Aplikasi Mobile Sangkara Menggunakan Metode Lean UX Putra, I Gede Aldi Kusuma; Paramitha, A A Istri Ita; Purnama, I Nyoman
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.821

Abstract

Startups are companies that have not been running for a long time, and some of these companies or startups have just been established and are in the phase of developing and exploring the market. The development of startups in the world started from around the '90s to the 2000s. Sangkara is a startup operating in the environmental sector. Sangkara was formed on December 29. Sangkara currently has an official website, but Sangkara plans to develop its technology by creating a mobile application. Mobile applications usually have an attractive and simple user interface so they can provide fast and easy service. Before developing a mobile application, designing the user interface and user experience needs to go through the prototyping stage. To support the creation of the Sangkara mobile application prototype, the Lean UX method was used which contains 4 stages, namely declare assumption, Create an MVP, Run an Experiment and feedback and Research. This method was chosen because it focuses on user satisfaction with the prototype design of the mobile application that will be designed. After going through each stage of Lean UX and testing using the usability scale (SUS) system, the UI/UX design of the Sangkara mobile application has been accepted by users, potential users and Sangkara staff with avegare SUS score is 89. 
Rancang Bangun Sistem Informasi Reimbursement Pegawai Pada PT Foxbyte Global Inovasi Berbasis Mobile Responsive Gussanda, Wiwan; Purnama, I Nyoman; Dharma, Eddy Muntina
Petik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi Vol. 9 No. 2 (2023): Volume 9 No 2 Tahun 2023
Publisher : Pendidikan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/petik.v9i2.1286

Abstract

Abstrak — PT Foxbyte Global Inovasi adalah perusahaan digital dengan layanan utama dalam pengembangan perangkat lunak bagi suatu perusahaan. Karena perusahaan ini merupakan perusahaan digital maka banyak client mereka yang ingin berdiskusi untuk membahas project yang akan dikembangkan oleh PT Foxbyte Global Inovasi. Client mereka tidak hanya di Bali namun juga tersebar di seluruh Indonesia, maka perusahaan akan mengutus pegawai untuk datang ke tempat dimana client berada. Pertemuan dengan client tidak dapat ditebak waktunya karena pertemuan sering kali diadakan pada H-1 ataupun hari H. Dalam kasus seperti ini marketing dari perusahaan PT FGI tidak akan sempat untuk menagih biaya operasional, selain itu bagian keuangan sering tidak dikantor karena memiliki job yang sama sebagai marketing. Hal ini mengakibatkan terjadinya penumpukan berkas klaim reimbursement dan bisa saja tercampur dengan berkas yang lain. Oleh karena itu diperlukan sistem reimbursement untuk memudahkan karyawan dalam melakukan klaim biaya operasional. Teknologi yang digunakan untuk merancang bangun sistem adalah framework laravel untuk back-office dan front-end dibantu juga dengan framework vue.js. Metode yang digunakan untuk mengembangkan sistem adalah Extreme Programming (XP). Hasil penelitian ini menghasilkan sebuah sistem pengajuan reimbursement pegawai berbasis mobile responsive. Kata Kunci — Extreme Programming, Laravel, Mobile Responsive Abstract — PT Foxbyte Global Inovasi is a digital company with main services in software development for a company. Because this company is a digital company, there are manyclient those who wish to discuss to discussproject which will be developed by PT Foxbyte Global Inovasi.Client they are not only in Bali but also spread throughout Indonesia, so the company will send employees to come to the place whereclient is at. Meeting withclient the time is unpredictable because meetings are often held on D-1 or D-day. In cases like thismarketing from the company PT FGI will not have time to collect operational costs, besides that the finance department is often not in the office because it has the same job asmarketing. This resulted in a buildup of claim files reimbursement and may be mixed with other files. Therefore a system is needed reimbursement to facilitate employees in making operational expense claims. The technology used to design the system is:framework laravel forback-office andfront-end helped tooframework vue.js. The method used to develop the system isExtreme Programming (XP). The results of this study resulted in a filing systemreimbursement based employeesmobile responsive. Keywords — Extreme Programming, Laravel, Mobile Responsive
Comparison of CNN Transfer Learning in Detecting Superior Local Fruit Types in Bali Purnama, Nyoman
Intelligent System and Computation Vol 6 No 1 (2024): INSYST: Journal of Intelligent System and Computation
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52985/insyst.v6i1.389

Abstract

Bali Province is an island that has unique geographical conditions, as well as the diversity of fruit it has. The specialty of local fruit is not only of economic value for food needs but also for religious ceremonial needs. Bali provincial government is currently actively promoting local fruit so that it can be used as consumption for Bali's increasingly rapid tourism. Several superior fruits were developed as an effort to raise the potential of local fruit in the tourism sector. Some of the superior fruits are Balinese snake fruit and sapodilla. However, snake fruit is one of the superior local fruits in Bali which has not experienced degradation over time. This research aims to detect the types of snake fruit in Indonesia. This fruit is not popular compared to imported fruit. Therefore, an application is needed to recognize this type of snake fruit automatically. This research uses a deep learning method with the CNN (Convolutional Neural Network) algorithm. This algorithm is able to recognize and classify an image well. The fruit images used were 400 fruits for 4 types of snake fruit. Where the training data for snake fruit is special because it has different skin and fruit contents. In this research, 2 transfer learning models from the CNN algorithm were also compared, namely mobilenetv2 and ResNet152. Based on the test results, it was found that the best level of accuracy was obtained using the ResNet152 model with an accuracy value of 92% in identifying images of Balinese snake fruit.
OPTIMASI PREDIKSI HARGA EMAS DENGAN METODE SUPPORT VECTOR REGRESSION (SVR) MENGGUNAKAN ALGORITMA GRID SEARCH Gananta, I Made; Purnama, I Nyoman; Queena Fredlina, Ketut
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 6 (2023): JATI Vol. 7 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i6.8000

Abstract

Emas masih tetap menjadi salah satu instrumen investasi yang stabil dan diminati 87% masyarakat Indonesia meski telah melewati pandemi covid-19 yang telah melumpuhkan perekonomian dunia. Sehingga memprediksi harga emas menggunakan data harga emas sebelum terjadinya pandemi covid-19 masih dapat menjadi acuan untuk memprediksi harga emas di tahun selanjutnya. Algoritma support vector regression (SVR) merupakan salah. Namun, parameter bebas SVR sangat sensitif dimana jika nilai support vector nya terlalu besar malah akan menyebabkan underfitting sehingga perlu dilakukan optimasi untuk memaksimalkan hasil pelatihan SVR. Algoritma grid search diperlukan untuk melakukan optimasi agar mendapatkan nilai parameter bebas SVR terbaik. Penelitian ini membahas tentang bagaimana proses optimasi parameter SVR menggunakan algoritma grid search dalam memprediksi harga emas periode per hari. Proses pelatihan menggunakan 1461 data harga emas periode 1 Januari 2018 hingga 31 Desember 2021, yang dimana hasil optimasi pelatihan SVR akan dibandingkan dengan hasil pelatihan SVR tanpa optimasi dengan menggunakan metode pengukuran error mean absolute percentage error (MAPE). Hasil penelitian menunjukkan bahwa algoritma grid search mampu mengoptimasi prediksi harga emas menggunakan SVR namun tidak signifikan dengan skor MAPE sebesar 3,73% dibandingkan dengan hasil prediksi menggunakan SVR tanpa optimasi dengan skor MAPE sebesar 4,35% yang dimana hasil prediksi kedua model tersebut sangat baik.
PERANCANGAN SISTEM INFORMASI PENGARSIPAN DOKUMEN BERBASIS WEBSITE PADA SEKOLAH DASAR NEGERI 22 DAUH PURI Dede Andika Putra, Putu; Putu Krisna Juliharta, I Gede; Purnama, I Nyoman
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 1 (2024): JATI Vol. 8 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i1.8887

Abstract

SD Negeri 22 Dauh Puri merupakan sekolah dasar yang teretak di Denpasar Utara, Pada saat ini dalam proses pengelolaan data pengarsipan masih belum terintegrasi. Sebagian besar kegiatan pengarsipan di SDN 22 Dauh Puri masih menggunakan sistem manual tanpa adanya database. Sekolah tersebut belum memiliki sebuah website pengarsipan dalam pengelolaan data sehingga membutuhkan sebuah website sistem informasi, oleh sebab itu diperlukannya sebuah sistem informasi pengarsipan berbasis website yang bertujuan untuk mempermudah dalam pengelolaan data pengarsipan sehingga penyajian informasi data menjadi efektif dan efisien. Sistem Informasi ini dirancang dan dibangun menggunakan metode pengembangan Prototype dan bahasa pemrograman php serta laravel sebagai frameworknya untuk databasenya menggunakan MySql. Kesimpulan yang didapatkan dari penelitian ini sistem informasi pengarsipan ini berhasil dirancang bangun dan melakukan pengujian menggunakan blackbox testing serta semua fitur berjalan lancar.
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBASIS ANDROID MENGGUNAKAN MEDIA UNITY 3D STUDI KASUS SD NEGERI 4 PADANGKERTA Sukariada, I Komang; Juliana Eka Putra, I Gede; Purnama, I Nyoman
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 1 (2024): JATI Vol. 8 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i1.8896

Abstract

Pengembangan media pembelajaran matematika berbasis android menggunakan Unity di SD Negeri 4 Padangkerta dilatar belakangi oleh belum adanya pengembangan media yang diterapkan pada mata pelajaran matematika di SD Negeri 4 Padangkerta, sehingga perlu adanya inovasi dalam penggunaan media pembelajaran guna menciptakan suasana pembelajaran yang menyenangkan bagi siswa ketika belajar matematika khususnya materi kubus dan balok. Penelitian ini bertujuan untuk mengembangkan media pembelajaran matematika berbasis android menggunakan Unity dan mengetahui kelayakan media tersebut. Penelitian ini termasuk kedalam jenis Penelitian dan Pengembangan (R&D) menggunakan model ADDIE yang meliputi tahap analisis, desain, pengembangan, implementasi dan tahap evaluasi. Instrumen pada penelitian ini menggunakan angket dan wawancara. Angket ditujukan kepada validator materi dan validator media serta subjek uji coba sejumlah 25 siswa kelas V SD Negeri 4 Padangkerta. Hasil validasi ahli dan uji coba media pembelajaran memperoleh skor keseluruhan sebanyak 1371 dengan persentase 83,59% yang termasuk kedalam kriteria “Sangat Layak”.
Sentiment Analysis System Of Bali Tourism Using Naive Bayes Algorithm And Web Framework Utami, Nengah Widya; Purnama, I Nyoman; Prayoga, I Made Ari
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

To obtain trends and impacts that may occur in the Bali tourism industry after the pandemic requires tourism actors to maintain the existence of the tourist beauty and culture they have. This research aims to develop a sentiment analysis system in the Bali tourism sector using the Naive Bayes algorithm and the Web Framework. This research stages carried out include Data Collection (Scraping), Data Cleaning, Feature Extraction, Modeling, and Web Platform Development. The data used was 2779 review data. The results show that most of the visitor reviews are in the "Very Positive" category, namely 1244. Next, 776 reviews are in the "Positive" category, 328 "Neutral”. The words that appeared most frequently included “place”, “walk”, “beautiful”, “nice”. The evaluation results show that the Bayes algorithm shows an accuracy value of 71%, which means Naive Bayes produces sufficient accuracy for sentiment analysis. In this research, we succeeded in developing a website with a web framework to predict the sentiment of a review in real time and it is hoped that it can help related parties understand and respond to reviews more effectively, improve the tourist experience, and advance the tourism sector in Bali.
RANCANG BANGUN SISTEM INFORMASI KOPERASI SIMPAN PINJAM BERBASIS WEBSITE I Made Dwi Kariawan; Ni Made Estiyanti; I Nyoman Purnama
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.961

Abstract

The development of technology plays a crucial role in advancing the business world, including its application within cooperatives. Abdi Guna Artha Cooperative is engaged in providing Savings and Loans Cooperative (SLC) services or Koperasi Simpan Pinjam (KSP). The record-keeping within this cooperative is still partially manual, covering member savings, loan records, and other documentation, even though they have incorporated technology into their operations. However, their recording system relies solely on software programs, and the recording process is disparate. Consequently, the report generation process is time-consuming. Data transparency between the Cooperative and its members is essential to maintain trust. To address this issue, the author has developed a web-based Savings and Loans Cooperative Information System to handle the reporting process and to enhance data transparency between the Cooperative and its members. Data transparency is highly demanded by members to ensure the safety of their funds within the Cooperative. Cases of fraud, such as embezzlement of funds by cooperative managers, can be prevented because every transaction is promptly documented and recorded in the system. As a result, members can monitor all their savings and loan transactions, thus fostering trust between the Cooperative and its members.
Co-Authors )I Gede Juliana Eka Putra A. A. Istri Ita Paramitha A. A. Istri Ita Paramitha A.A. Ayu Putri Ardyanti A.A. Ayu Putri Ardyanti A.A. Istri Ita Paramitha A.A.A Putri Ardyanti, A.A.A Putri A.M. Adi Putra Jaya AAA Putri Ardyanti Abdullah, Mikail Adi Paramartha Putra, Made Anak Agung Ayu Putri Ardyanti Athazaina, Naudy Taj Dede Andika Putra, Putu Dharma, Eddy Muntina Estiyanti, Ni Made Fajriyatul Aisyah Gananta, I Made Gede Agus Darma Yoga Gussanda, Wiwan I Dewa Putu Ade Permana Putra I Gede Darma Antara Yadnya I Gede Juliana Eka Putra I Gede Juliana Eka Putra I Gede Juliana Eka Putra I Gede Juliana Eka Putra Eka Putra I Gede Prana Yoga I Gede Putu Krisna Juliharta I Gusti Ayu Aris Dwiyanti I GUSTI BAGUS MADE WIRADHARMA I Gusti Bagus Made Wiradharma I K. G. Wawan Darmawan I ketut Gede Darma Putra I Made Dwi Hita Darmawan I Made Dwi Kariawan I Made Harma Sastra I Made Pande Muliada I Nyoman Wiyana I Nyoman Yudi Anggara Wijaya I Putu Agung Bayupati I Putu Agus Aryawan I Putu Eka Indrayana I Putu Gede Saskara I Putu Gede Widiastawa Adiputra I Putu Restu Prajna I Putu Risky Arya Juniartha I Wayan Ady Purnawibawa Ida Bagus Gede Arga Kusuma IGAN Indra Adnyana Juliana Eka Putra, I Gede Ketut Queena Fredlina Ketut Queena Fredlina Komang Tri Werthi Kresna Aditya Angga Siswanto Luh Putu Nestri Evayanti, Ni Muntina Dharma, Eddy Nandika, I Putu Prema Nengah Widya Utami Nengah Widya Utami Nengah Widya Utami Nengah Widya Utami Nengah Widya Utami Nengah Widya Utami Ni Kadek Sekar Waras Sari Ni Luh Nyajentari, Ni Luh Ni Luh Putu Purnama Dewi Ni Luh Putu Purnama Dewi Ni Made Estiyanti Ni Made Satvika Iswari Ni Nengah Widya Utami Ni Putu Noviyanti Kusuma Ni Putu Risma Suantari Ni Wayan Ayu Megantari Paramitha, A A Istri Ita Paramitha, A.A. Istri Ita PERMANA, LEON FARREL AGUNG Prayoga, I Made Ari Putra, I Gede Aldi Kusuma Putra, I Gede Julana Eka Putra, I Gede Juliana Eka Putra, Made Adi Paramartha Putri Anugrah Cahya Dewi Putu Divya Febriyanti Putu Krisna Juliharta, I Gede Putu Kusuma Negara Putu Trisna Hady Permana Putu Trisna Hady Permana S Queena Fredlina, Ketut Sudiatmika, Ida Bagus Kresna Sukariada, I Komang Sutresna, I Made Tania Koentjoro, Jessica Utama, I Komang Ram Pramartha Utami, Nengah Widya Widya Utami, Nengah