Claim Missing Document
Check
Articles

Found 21 Documents
Search

APLIKASI PENYEDIA JASA TOUR GUIDE “GUIDME” BERBASIS WEB DI SEKTOR PARIWISATA LABUAN BAJO Venansius Dakosta Gora; I Kadek Juni Arta; Ida Ayu Putu Febri Imawati
Jurnal Manajemen dan Teknologi Informasi Vol. 13 No. 1 (2023): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7934328

Abstract

Labuan Bajo merupakan daearah pariwisata baru. Terletak di bagian barat pulau Flores, Labuan Bajo memiliki banyak destinasi wisata yang diminati wisatawan lokal maupun mancanegara. Wisatawan yang berkunjung seringkali menggunakan jasa pemandu wisata lokal dalam melakukan kegiatan wisatan di daerah Labuan Bajo. Tujuan dari penelitian ini adalah untuk menghasilkan sistem informasi yang memudahkan wisatawan dalam menemukan jasa pemandu wisata lokal di Labuan Bajo. Sistem informasi ini akan diimplementasikan kedalam bentuk aplikasi berbasis web. Sistem ini nantinya hanya berkaitan dengan wisatawan dan pemandu wisata serta dibangun dengan memanfaatkan pemrograman website sebagai software serta menggunakan metode perancangan Extreme Programing. Hasil implementasi sistem informasi kedalam bentuk website ini menghasilkan Aplikasi Penyedia Jasa Tour Guide “GUIDME” yang akan diterapkan atau dimanfaatkan pada sektor pariwisata Labuan Bajo secara khusus mempermudah wisatawan melihat tujuan wisata, sekaligus menemukan pemandu wisata lokal dan juga mempermudah pemandu wisata untuk menawarkan jasanya melalui website ini.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS TI MENGGUNAKAN CANVA BAGI GURU DI SMA PGRI BLAHBATUH PLUS PARIWISATA (PARISMA) Luh Putu Risma Noviana Risma; Ida Ayu Putu Febri Imawati Febri
Sewagati Vol. 2 No. 2 (2023): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v2i2.3400

Abstract

Canva is a design application that uses drag and drop techniques and can access several existing features such as fonts, images and shapes during the process of making learning media with the rapid development of technology, there is a need for training at SMA PGRI Blahbatuh Plus Pariwista (Parisma) because there are still many educators who have not maximized in mastering the use of Canva as a means of making learning media.
Analisis Perilaku Mean Dataset Perubahan Garis Pantai pada Hasil Spasialtemporal Metode Empirical Orthogonal Function (EOF) Ida Ayu Putu Febri - Imawati; Made Sudarma; I Nyoman Satya Kumara
Jurnal Teknologi Elektro Vol 16 No 1 (2017): (January - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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

Abstract

The purpose of this study is to apply EOF method on shoreline change resulting spatialtemporal analysis mode 1 and also to to prove the mean behavior on the spatial or temporal of its EOF outcomes. The data used was obtained from shoreline coordinates of shp file of the Bali island map and the result of breaking waves study, by using a one-dimensional modeling  yielded dataset or prediction shoreline changes during 91 months. Calculation EOF 1, the input matrix or dataset was initially not reduced by the mean but EOF 2 vice versa. Each matrix receive the same treatment were calculated covariance, eigen value, eigen vector and principal component. EOF calculations obtained the last five eigen value, the last five eigen vector, trace, principal component and variant data. Based on the results obtained were compared parameters of two matrices mentioned before. Spatially results both of  EOF 1 and EOF 2 shows the same eigen vector represented by the first mode of eigen vector. Similarly, the eigen value, trace and variance of data, produce the same information. Significant difference occurs in the principal component (temporal). EOF 1 shows that the value of the first month produces a positive value, second month until month 91th output are minus.  EOF 2 shows the value of the principal component the first month until the 37th month are in a positive position, then from month 38th to month 91th yielded negative results. Nevertheless EOF 1 and EOF 2 showed shoreline changes tend to be erosion.Tujuan dari penelitian ini adalah menerapkan metode EOF pada perubahan garis pantai sehingga menghasilkan analisis spasialtemporal mode ke-1 dan juga untuk membuktikan perilaku mean pada hasil spasial atau temporal hasil EOF tersebut. Data yang digunakan diperoleh dari koordinat garis pantai file shp dari peta pulau Bali dan hasil studi gelombang pecah, dengan menggunakan pemodelan satu dimensi menghasilkan dataset atau prediksi perubahan garis pantai selama 91 bulan. Perhitungan EOF 1, matriks input atau dataset awalnya tidak dikurangi dengan rata-rata tetapi EOF 2 sebaliknya. Setiap matriks menerima perlakuan yang sama dihitung covariance, eigen value, eigen vektor dan principal component. Dari perhitungan EOF diperoleh eigen value lima terakhir, eigen vcktor lima terakhir, trace, principal component dan variance data. Berdasarkan hasil yang diperoleh dibandingkan parameter dua matriks sebelumnya.Secara spasial hasil EOF 1 ataupun EOF 2 menunjukkan nilai eigen vector yang sama yang diwakili oleh eigen vector mode pertama. Demikian pula pada  eigen value, trace dan varian data,  EOF 1 dan EOF 2 menghasilkan informasi yang sama. Perbedaan yang siginifikan terjadi pada principal component (temporal). Dari EOF 1 didapatkan bahwa nilai temporal bulan ke-1 menghasilkan nilai positif, bulan ke-2 hingga bulan ke-91 output bernilai minus. Pada EOF 2 nilai principal component ke-1 hingga bulan ke-37 berada pada posisi positif, selanjutnya dari bulan ke-38 hingga bulan ke-91 menghasilkan nilai negatif.  Meskipun demikian  EOF 1 dan EOF 2 tetap menunjukkan garis pantai yang cenderung mengalami  erosi.DOI: 10.24843/MITE.1601.16 
MENGENALKAN BERAGAM PROFESI ORANG TUA PADA ANAK KELAS 1 MELALUI GAMBAR VISUAL DAN BERCERITA Imawati, Ida Ayu Putu Febri; Noviana, Ni Luh Putu Risma; Dika, I Wayan
Sewagati Vol. 3 No. 2 (2024): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v3i2.4262

Abstract

The introduction and socialization of parents' professions at SD Negeri 3 Belega is part of the introduction to the school environment. The introduction of parents' professions aims to foster their understanding of the diversity of roles in society and appreciate the contribution of each profession. The introduction of this profession is full of meaning that can direct children regarding their interests and future goals. The introduction of this profession is carried out using interesting visual presentation media and storytelling. The results of this activity illustrate that the students of SD Negeri 3 Belega have been able to understand the basic concepts of parents' professions and even tell stories about the professions of their parents and the people around them. The approach of interesting visual images and storytelling is suitable for learning because it increases enthusiasm, active interaction, and interest in further exploration of children.
Training VGG16, MobileNetV1 and Simple CNN Models from Scratch for Balinese Inscription Recognition Ida Ayu Putu Febri Imawati; Made Sudarma; I Ketut Gede Darma Putra; I Putu Agung Bayupati; Minho Jo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 15 No 03 (2024): Vol.15, No. 3 December 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i03.p01

Abstract

Many inscriptions in Bali are damaged. Damage to these inscriptions can be caused by natural disasters, overgrown with moss, algae and bacteria. Damage can also be caused by warfare, or deliberately erased. This inscription contains the knowledge and civilization of the ancestors so it is very important to be able to read its contents. Based on these problems, this research conducted training from scratch on 3 CNN models namely VGG16, MobileNetV1 and Simple CNN. The purpose of this research is to choose one recognition model that has the best performance and produces the highest recognition rate to proceed to the inscription restoration stage. The dataset used is Balinese inscription: Isolated Character Recognition of Balinese Script in Palm Leaf Manuscript Images in Challenge-3-ForTrain.zip. The training process of three models with five different training files resulted in the finding that VGG16 has the highest accuracy in the training, testing, and validation process with the least number of epochs. This research contributes to specific datasets, such as the Isolated Character Recognition of Balinese Script using the training process from the beginning of VGG16, involving all stages of the process. It will produce the best model performance compared to the other four training models.
IMPLEMENTASI ALGORITMA APRIORI SEBAGAI ALTERNATIF STRATEGI PROMOSI UNIVERSITAS PGRI MAHADEWA INDONESIA Ida Ayu Putu Febri Imawati; Budhya Wirandha Gupta; I Kadek Juni Arta; I Wayan Dika
Jurnal Manajemen dan Teknologi Informasi Vol. 15 No. 1 (2025): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v15i1.4643

Abstract

UPMI Bali is a new campus, so campus promotion is still very much needed to increase prospective new students at UPMI Bali. By utilizing available data, the campus can determine effective campus promotion strategies using data mining. The data system will be built using the Association Rules technique. Association Rules is a data mining method to find frequently occurring association patterns in data. This method is popular because it is often used to analyze shopping carts. The rules formed will be in the form of "If-Then" in a transaction. Using the apriori algorithm generally involves finding frequent itemsets from a sales transaction database through several iteration stages. The association patterns formed with a minimum support value of 10% and confidence of 50% produced 18 association rules, with the strong rule obtained being Lecturer and Denpasar with a support value of 22% and confidence of 50%. Thus, if students know about the UPMI campus reference from a Lecturer, then these students are from Denpasar.
PENINGKATAN JANGKAUAN PASAR USAHA MIKRO, KECIL DAN MENENGAH (UMKM) PISAU BUKIT JATI MELALUI STATUS WHATSAPP DAN SIMULASI SEBAGAI RESELLER Imawati, Ida Ayu Putu Febri; Dika, I Wayan; Kariati, Ni Made; Ambaradewi, Ni Luh Gede; Juni Arta, I Kadek; Nugraha, I Nyoman Bagus Suweta
Sewagati Vol. 4 No. 1 (2025): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v4i1.5029

Abstract

This service program aims to increase the market reach of UMKM metal products, especially various types of knife products, through WhatsApp media. WhatsApp was chosen because it is an application that UMKM players and the general public can easily use. This activity was carried out with one local Bukit Jati UMKM, utilizing a training assistance approach and simulating marketing strategies through resellers on WhatsApp social media. The results of the activity indicate that WhatsApp can be a viable promotional tool for reaching consumers in the local and regional areas of Bali Province. Marketing through WhatsApp social media also enables the building of a more personalized relationship between sellers and consumers.
RANCANG BANGUN SISTEM PENGAJUAN BIMBINGAN REKOGNISI PEMBELAJARAN LAMPAU (RPL) PADA PROGRAM PROFESI INSINYUR UNIVERSITAS UDAYANA Ni Ketut Relawati; Ida Ayu Putu Febri Imawati; I Nyoman Bagus Suweta
Jurnal Manajemen dan Teknologi Informasi Vol. 14 No. 2 (2024): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v15i2.3966

Abstract

Recognition of Past Learning (RPL) is recognition of a person's learning achievements obtained from formal, non-formal, informal education, and/or work experience as a basis for continuing formal education and for equivalency with certain qualifications. Udayana University which is located at JL. PB. Sudirman Denpasar is one of the universities that carries out the Ministry of Research, Technology and Higher Education's mandate to organize the Professional Engineer Program. There are two delivery routes for the Professional Engineer Program, namely the Regular Route and Recognition of Past Learning (RPL). The RPL process in the Udayana University Professional Engineer Program still uses manual data processing, where PPI study program operators still record manually the number of students who have been tutored and the number of students who have submitted exam applications, so it takes a long time and slows down the RPL process. Therefore, it is necessary to design an information system for submitting RPL guidance in the Udayana University Professional Engineer Program. It is hoped that this Information System Design will simplify and speed up the RPL process in the Udayana University Professional Engineer Program.
IMPLEMENTASI METODE NAÏVE BAYES UNTUK PREDIKSI KELAYAKAN BANTUAN MODAL DAN KREDIT USAHA DI DESA SELAT ABIANSEMAL BADUNG Gusti Ayu Putu Setia Antari; Gde Iwan Setiawan; Ida Ayu Putu Febri Imawati
Jurnal Manajemen dan Teknologi Informasi Vol. 14 No. 2 (2024): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v15i2.3985

Abstract

Small, Micro, and Medium Enterprises (MSMEs) are small-scale businesses carried out by individuals or business entities with a certain amount of net worth and sales proceeds. MSMEs in Abiansemal Strait Village, Badung, still use manual methods in analyzing data. Conditions like this are the basis for this study to create a system that can help make it easier for the Abiansemal Badung Strait Village if there is an assistance program from the government, both business capital assistance, and business credit applications to be given to MSME actors. Naïve Bayes' method of classifying MSMEs is built on concepts explored from the interview process, literature studies and system implementation. The design of this system was made using the Python programming language. The CRISP-DM model is a system development method used in the classification of MSMEs. The Feasibility Prediction Model for Capital Assistance and Business Credit using the Naïve Bayes Method can make it easier for users to find out whether the existence of a web-based classification and recommendation system can make it easier for users to carry out the MSME classification process easily and users can see the solutions recommended by referral MSMEs that have better business conditions directly.
RANCANG BANGUN APLIKASI SISTEM PAKAR BERBASIS ANDROID UNTUK MEMPREDIKSI KERUSAKAN SHOWCASE PADA CV. LEMBOR Gregorio Ramos Pereira; Ida Ayu Putu Febri Imawati; I Wayan Dika
Jurnal Manajemen dan Teknologi Informasi Vol. 14 No. 1 (2024): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v14i1.3674

Abstract

Kulkas khususnya showcase kini sangat mempengaruhi kebutuhan konsumen di wilayah Kecamatan Lembor, Kabupaten Manggarai Barat, Provinsi NTT untuk membuka usaha. Hal ini dikarenakan showcase sangat cocok digunakan oleh masyarakat yang ingin membuka usaha khususnya kuliner. Ketika listrik padam, minuman dan makanan yang disimpan di dalam showcase tetap dingin selama kurang lebih dua jam, namun kerusakan pada showcase sering terjadi karena kelalaian dalam melakukan perawatan. Pemilik showcase baru menyadari kerusakan tersebut setelah showcase tidak dapat beroperasi dengan baik dan menyulitkan pihak CV. Lembor Overworked dalam memperbaikinya karena masih menggunakan cara manual dalam menganalisa kerusakan showcase. Kondisi seperti inilah yang menjadi dasar penelitian ini untuk membuat sebuah aplikasi sistem pakar berbasis Android untuk memprediksi kerusakan showcase pada CV. Lembor sehingga dapat membantu mempermudah pihak CV. Lembor dalam mengetahui kerusakan showcase yang tepat dan akurat. Sistem pakar yang akan digunakan pada penelitian ini berbasis android dengan mengadopsi pengetahuan pakar ke komputer sehingga dapat menyelesaikan masalah seperti yang dilakukan oleh para ahli. Hasil dari penelitian ini adalah dapat memprediksi kerusakan showcase dalam bentuk sistem berbasis Android. Untuk mempermudah pengguna sistem dalam mengetahui kerusakan pada showcase