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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Pilar Nusa Mandiri JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal of Advances in Data and Information Systems BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal PkM MIFTEK Jurnal Karya Abdi Masyarakat Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Pengabdian Nasional (JPN) Indonesia JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Utami, Nengah Widya
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EVALUASI USABILITY PADA E-LEARNING UNIVERSITAS PENDIDIKAN GANESHA DENGAN METODE USABILITY TESTING Utami, Nengah Widya; Arthana, I Ketut Resika; Darmawiguna, I Gede Mahendra
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 9, No 1 (2020)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v9i1.23663

Abstract

Penelitian ini bertujuan untuk untuk mengevaluasi E-Learning Universitas Pendidikan Ganesha pada aspek usability menggunakan metode usability testing yaitu teknik Performance Measurement dan teknik Retrospective Think Aloud (RTA), serta dapat memberikan rekomendasi perbaikan atas sistem tersebut berdasarkan hasil evaluasi usability yang dilakukan. Ada tiga aspek usability yang dikaji yaitu efektivitas (effectiveness), efisensi (efficiency), dan kenyamanan atau kepuasan pengguna (satisfaction) menggunakan E-Learning Undiksha. Populasi dalam penelitan ini yaitu dosen dan mahasiswa di Fakultas Teknik dan Kejuruan (FTK) dengan melibatkan 32 responden yaitu 16 responden dosen dan 16 responden mahasiswa. Teknik pengumpulan data dilakukan dengan tiga teknik yaitu teknik wawancara, Performance Measurement, dan RTA. Analisis data yang dilakukan yaitu menggunakan uji statistik Mann Whitney U Test dan perhitungan Software Usability System (SUS). Hasil penelitian menunjukkan bahwa (1) E-Learning Undiksha masih belum efektif dilihat dari adanya kesalahan (error) pengguna dosen dan mahasiswa saat pengerjaan tugas, (2) E-Learning Undiksha sudah efisien dilihat dari tidak adanya perbedaan yang signifikan waktu pengerjaan tugas kelompok mahir dan kelompok pemula oleh responden dosen dan mahasiswa, (3) Pengguna baik dosen maupun mahasiswa merasa kurang puas menggunakan E-Learning Undiksha dilihat dari skor kuisioner SUS sebesar 60.94 dan 61.09. Dengan demikian berdasarkan hasil analisis data tersebut disimpulkan bahwa E-Learning Undiksha belum memiliki usability yang baik karena tidak memenuhi kriteria sebuah produk dengan usability yang baik. Hal ini dapat dilihat pada penilaian tingkat efektivitas, efesiensi, dan kepuasan pengguna, halaman E-Learning Undiksha ini tidak mampu memenuhi kriteria yang baik untuk ketiga aspek tersebut. Berdasarkan hal tersebut, rekomendasi perbaikan dalam penelitian ini difokuskan untuk mengubah tata letak (layout) halaman dan menu navigasi pada hasil data penyebab kesalahan (error) pengguna, dan menyederhanakan menu serta konsistensi penggunaan Bahasa dan istilah sesuai saran dari pengguna. Perbaikan dilakukan dengan membuat wireframe halaman utama E-Learning Undiksha, halaman utama pengguna, halaman mengelola matakuliah, halaman mengubah konten matakuliah, halaman menambah aktivitas, halaman membuat kuis, halaman mendaftar matakuliah, dan halaman forum diskusi.
Sistem Informasi Geografis Peternakan Ayam Pada Kabupaten Jembrana Berbasis Website Fatmasari, Ni Made Mila; Swastika, I Putu Agus; Utami, Nengah Widya
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol 10, No 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v10i2.37051

Abstract

This thesis proposal discusses the difficulties of chicken buyers to get information on chicken farms in Jembrana Bali, and the limited information obtained, currently complete information on farm layout in Jembrana Regency, only exists at the Jembrana District Animal Husbandry Service, then chicken breeders are also it is still difficult to provide information about their layout due to the limited means of adequate information in each village. So a chicken farm geographic information system was created with the aim of helping chicken buyers, livestock raisers and the Chicken Farming Service to get information on chicken breeding in Jembrana Regency   more  easily.Keywords— livestock, chicken, GIS, Website, Jembrana
Pengembangan Website Desa Wisata untuk Optimalisasi Promosi Pariwisata di Desa Singapadu Kaler Dewi, Ida Ayu Putri Diah Tantri; Utami, Nengah Widya; Alam, Helmy Syakh
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i2.340

Abstract

A travel website is a website dedicated to tourist travel. One of the tourist villages in Bali is Singapadu Kaler Village, which is rich in cultural heritage, stunning nature and a fascinating diversity of traditions. Even though it has great potential as a tourist destination, Singapadu Kaler Village still faces challenges in communicating the charm and uniqueness of its place to tourists. With the above phenomenon, the author provides a solution to develop a tourism website that can help access information about tourism in Singapadu Kaler Village, Gianyar using the WordPress platform. Evaluation is carried out in two ways, namely using the SUS (System Usability Scale) method for users and the Summative Test for the Pokdarwis Chair. The evaluation results using the SUS method for users got a score of 80 and the evaluation results using the Summative Test for the Pokdarwis Chair showed that the Pokdarwis Chair already understood how to manage content and how WordPress works.
Pelatihan Penyusunan Laporan Keuangan Bisnis dalam Program Kelas Kewirausahaan Inovatif bagi Siswa di SMA Negeri 1 Gianyar Utami, Nengah Widya; Putra, I Gede Juliana Eka; Purnama, I Nyoman; Dharma, Eddy Muntina
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i2.345

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk menyelenggarakan pelatihan Penyusunan Laporan Keuangan Bisnis dalam Program Kelas Kewirausahaan Inovatif bagi Siswa di SMA Negeri 1 Gianyar. Program ini memberikan pemahaman yang praktis dan relevan kepada siswa dalam menyusun laporan keuangan untuk mempersiapkan mereka dalam dunia bisnis di masa depan. Tujuan program ini adalah untuk memberikan pelatihan dan pendampingan untuk penyusunan dan manajemen laporan keuangan sederhana di SMA Negeri 1 Gianyar. Metode pelaksanaan dalam pengabdian ini meliputi metode pelatihan, diskusi, dan tanya jawab secara offline. Adapun sasaran dalam kegiatan ini adalah seluruh siswa/siswi SMA Negeri 1 Gianyar kelas XI yang mengambil mata pelajaran kewirausahaan. Pelaksanaan kegiatan pengabdian secara kualitatif nantinya dapat dinilai telah berjalan dengan sangat baik dan sesuai target capaian yaitu pengelolaan data dan menyusun laporan keuangan sederhana. Implikasi kegiatan ini nantinya ditunjukkan dari adanya peningkatan kemampuan mitra dalam pengelolaan data serta menyusun laporan keuangan bisnis sederhana.
Digitalisasi Desa Wisata untuk Optimalisasi Promosi Pariwisata dan Budaya di Desa Batuan Kabupaten Gianyar Widyanaputri, Ida Ayu Mega; Utami, Nengah Widya; Dewi, Putri Anugrah Cahya
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i2.348

Abstract

Tourism is one of the main sectors in economic growth in several countries in the world. A well-developed tourism sector can make a great contribution to a region. In Indonesia, tourism is one of the most important sources of income, especially in Bali, which is one of the most popular tourist destinations in the world. One of the interesting destinations in Bali is the Batuan Tourism Village. Batuan Tourism Village has indeed planned from the beginning to create a website that is specifically for Tourism Villages only, because it has the goal of focusing more on the Tourism Village website only so that tourists can more easily find tourist destinations they want to visit. Batuan Village apparently still has difficulties in introducing its cultural and artistic tourism to prospective tourists who want to come. With the problems that have been explained, the researcher provides a solution in the form of a website that focuses on the tourism sector in the Batuan Tourism Village. The results of the post-test evaluation given to the village staff showed good results after the website management training was held.
Pengembangan Webiste Desa Wisata Sebagai Sarana Promosi Pariwisata dan Produk UMKM Kreatif di Desa Singapadu Tengah Widiastuti, Ni Luh Ayu; Utami, Nengah Widya; Putra, I Gede Juliana Eka
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i2.349

Abstract

The tourism sector is an important indicator in the economic part of a country. Not only providing rapid support for national income, the tourism sector also opens opportunities to generate jobs, increase investment, and introduce cultural tourism and its natural beauty.  This research has the purpose of developing websites, activities carried out to carry out development. The method used in this activity is using the System method System Usability Scale (SUS) and pre-test and post-test questionnaires.  Based on the results of the score obtained, the Central Singapadu Tourism Village website received a score of 79 and the results of the evaluation using pre-test and post-test to the IT staff of Central Singapadu Village showed an understanding of website content management.
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.
CLASSIFICATION OF BLOOD DONOR DATA USING C4.5 AND K-NEAREST NEIGHBOR METHODS (CASE STUDY: UTD PMI BALI PROVINCE) Astuti, Ni Ketut Melly; Utami, Nengah Widya; Juliharta, I Gede Putu Krisna
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2790

Abstract

Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data. Meanwhile, 10% of the data, which is 3,494 data, is used as the implementation of data testing using the Orange application. C4.5 obtained an accuracy score of 92.9%, F1 of 92.2%, Precision of 93.1%, Recall of 92.9%, specificity of 68.2%. While K-nearest neighbor obtained an accuracy score of 91%, F1 of 90.1%, Precision of 90.8%, Recall of 91%, specificity of 63%. With the AUC (Area Under Curve) value for the C4.5 algorithm is 0.875 and the K-nearest neighbor is 0.813 Good Classification. The results of the evaluation using the confusion matrix C4.5 obtained an accuracy score of 92.6%, F1 of 95.7%, Precision of 99.4%, Recall of 92.4%, specificity of 96%. While k-nearest neighbor obtained an accuracy score of 90.9%, F1 of 94.6%, Precision of 98.4%, Recall of 91.2%, specificity of 88.4%. Based on the evaluation of the confusion matrix and the ROC Analysis Graph, the C4.5 algorithm obtained higher results than the K-Nearest Neighbor algorithm. Based on the data on the characteristics of blood donors at UTD PMI Bali Province, it shows that the gender is male, Badung area, Age 20 to < 30, the occupation of private employees dominates in blood donation.
The Prediction Of Product Sales Level Using K-Nearest Neighbor and Naive Bayes Algorithms (Case Study : PT Kotamas Bali) Miha Djami, Aris Setiawan; Utami, Nengah Widya; Paramitha, A. A. Istri Ita
Jurnal Pilar Nusa Mandiri Vol 19 No 2 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i2.4420

Abstract

PT Kotamas Bali is a company that operates in tableware and kitchenware, where every sale is sold at various counters. Product sales are permanently printed and entered in sales reports, and there are problems such as the fact that the product is sold very much and it is difficult to see the rate of sale of most products, lots, and not lots. Then, to see the level of product sales, it is necessary to use data mining techniques with the method of Knowledge Discovery in Databases to predict the purchase rate of products using the two algorithms K-Nearest Neighbor and Naïve Bayes. The purpose of this research is so that PT Kotamas Bali can see the sales rate of each product sold so that there is no accumulation of goods and more focus on the most marketed products. These two algorithms result in different accuracy on the 90:10 data split, where the K-Nearest Neighbor algorithm successfully predicted the sales rate of the product with a 99% accuracy rate and was categorized as an excellent classification. The Naïve Bayes algorithm failed to make predictions with an accuracy of only 54% and was classified as a failure classification. ROC performance results on the K-Nearest Neighbor algorithm with an AUC value of 99% and the Naïve Bayes algorithm with an AUC of 74%. K-Nearest Neighbor managed to obtain the highest accuracy, while the Naïve Bayes algorithm failed to conduct classification.
BALI TOURIST VISITS CLUSTERED VIA TRIPADVISOR REVIEWS USING K-MEANS ALGORITHM Wamulkan A.S, Ufik Alngatiq Hidayat; Utami, Nengah Widya; Anggara, I Nyoman Yudi
Jurnal Pilar Nusa Mandiri Vol 19 No 2 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i2.4571

Abstract

Bali is one of the provinces with the most popular destinations for tourists. However, there are obstacles in developing tourist destinations in the province of Bali in terms of absorbing more tourist visits. Tripadvisor, the world's largest tourism information platform. In order to improve its service to users, Tripadvisor conducts online reviews to obtain ratings based on travel experience. The purpose of this study is to determine clustering and accuracy in tourist visits to tourist destinations in the province of Bali. Clustering is done using 3 clusters using the KDD method. The first process is data selection, then data processing which consists of several stages, first deleting rows of empty data, then cleaning duplicate data and the final result is 5261 clean data then data transformation, so that data can be read by python, The next process is data mining, this process uses the K-Means clustering algorithm which produces 3 clusters with cluster 1 being medium with 1495 data, high cluster 2 with 2315 data, and low cluster 3 with 1451 data. The Davies Boldin Index is used to evaluate the K-Algorithm means clustering, the result is 0.3 where the value is very good because it is not minus and the value is close to zero.
Co-Authors A. A. Istri Ita Paramitha Alam, Helmy Syakh Anggara, I Nyoman Yudi Ardana, I Made Putra Yudha Artana, I Made Astawa, Ni Luh Putu Ning Septyarini Putri Astuti, Ni Ketut Melly Ayyubi, Vieri Nurgracie Al Bagus Made Sabda Nirmala Bagus Putu Wahyu Nirmala Dewi, Ida Ayu Putri Diah Tantri Dewi, Putri Anugrah Cahya Dharma, Eddy Muntina Dwi Putri, I Gst. Agung Pramesti Dwi, I Gst. Agung Pramesti Eka Grana Aristyana Dewi Estiyanti, Ni Made Fatmasari, Ni Made Mila Gunawan, Putu Amelia Chrysilla I Gede Mahendra Darmawiguna I Gede Putu Krisna Juliharta I GUSTI BAGUS MADE WIRADHARMA I Ketut Resika Arthana I Nyoman Yudi Anggara Wijaya I Putu Agus Swastika Jelantik, I Made Karang, I Komang Aditya Komang Tri Werthi Mahardika, Wahyu Adi Miha Djami, Aris Setiawan Nyoman Purnama, Nyoman Pramana, Dewa Prayoga, I Made Ari Putra, I Gede Juliana Eka Putra, Made Adi Paramartha Putri, I Gst. Agung Pramesti Dwi Sanjaya, Dewa Made Aryadi Mertha Saptiari, Ni Nyoman Satwika, I Putu Suarpurningsih, Ni Komang Ayu Suyadnya, Nyoman Suta Suyasa, I Putu Buda Tiara Putri, Ni Putu Aprillianti Rutmana Tiawan, Tiawan Utama, I Komang Ram Pramartha Wamulkan A.S, Ufik Alngatiq Hidayat Widiastuti, Ni Luh Ayu Widyanaputri, Ida Ayu Mega Winarno, kadek Doni