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EVALUASI PENGARUH TEKNOLOGI, PENGGUNA DAN ORGANISASI TERHADAP MANFAAT DARI PENERAPAN E-PROCUREMENT I Gusti Ayu Agung Mas Aristamy; Theresia Hendrawati
Sistemasi: Jurnal Sistem Informasi Vol 9, No 2 (2020): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Pemerintah tengah berupaya mewujudkan pemerintahan yang terbuka dan demokratis dengan cara meningkatkan dan mengoptimalkan layanan publik melalui dibentuknya E-procurement atau pengadaan barang/jasa berbasis elektronik. Tujuan dari dibentuknya E-procurement adalah untuk mewujudkan pengadaan barang/jasa pemerintah yang efektif, efisien, transparan, adil, tidak diskriminatif dan akuntabel. Namun, dalam penerapannya masih banyak kendala yang ditemukan pada penerapan E-procurement. Melihat dari banyaknya kendala yang ditemui, penelitian ini bertujuan untuk melakukan evaluasi sistem E-procurement yang mengambil studi kasus pada E-procurement milik Pemerintah Provinsi Bali. Evaluasi dilakukan untuk mengetahui faktor yang menjadi pendukung serta penghambat dari penerapan sistem E-Procurement di Pemerintah Provinsi Bali. Metode evaluasi sistem yang dipilih untuk penelitian ini adalah metode HOT-Fit. Metode ini dipilih karena mencakup aspek Human (Pengguna), Organization (Instansi/Organisasi) dan Technology (Teknologi/Sistem). Hasil dari penelitian ini menyatakan bahwa faktor Teknologi, Pengguna dan Organisasi memiliki pengaruh yang positif dan signifikan terhadap penerapan sistem E-Procurement, sehingga pengguna sistem merasakan manfaat yang diberikan oleh adanya sistem E-Procurement. Faktor yang menjadi penghambat sejauh ini adalah masih adanya beberapa tahapan dalam proses pengadaan barang dan jasa yang masih manual atau belum sepenuhnya dilaksanakan by sistem.

ANALYSIS OF E-LEARNING ACCEPTANCE IN GENERATION Z STIKI INDONESIA DURING THE COVID-19 PANDEMIC I Gusti Ayu Agung Mas Aristamy; Theresia Hendrawati
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1302

E-Learning has been applied for a long time in Indonesia and other developed and developing countries. However, research by Salloum et.al., said that E-Learning systems in developing countries were partially or completely not adopted; utilization has not been completed and is considered less than a satisfactory level. This refers to the lack of understanding of the factors that influence adoption. One of the latest studies on distance learning during the COVID-19 pandemic said that there were several obstacles experienced by students, and teachers. This study aims to analyze the adoption of E-Learning technology in Generation Z at one of university in Bali during the COVID-19 pandemic. Results of this study indicate that there is a positive impact of computer self-efficacy and accessibility on the perception of the ease with which students use the E-Learning system. The factors of information quality and content quality positively affect the students' perceived ease of use and usefulness of the E-Learning system. It is this perception of the usefulness and ease of use of the E-Learning system that has an increasing impact on students' intentions and attitudes to use the E-Learning system in the future.

Penerapan Deep Learning Dalam Pengenalan Endek Bali Menggunakan Convolutional Neural Network Theresia Hendrawati; Dewa Ayu Putri Wulandari; I Gde Swiyasa Surya Dharma; Ni Luh Wiwik Sri Rahayu Ginantra, M.Kom; Christina Purnama Yanti
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6721

Endek Bali has been recognized as one of the Intellectual Property of Traditional Cultural Expressions, with registration number EBT 12.2020.0000085 on December 22, 2020. In the present era, many people find it difficult to distinguish between endek fabric and batik fabric because their patterns are quite similar. This research aims to help identify Bali's Endek fabric based on digital images. One of the approaches used is the Convolutional Neural Network method with ResNet50, which is a deep learning method used to recognize and classify objects in digital images. Evaluation result from testing the best model with new testing model using confession matrix get result of 90,69% accuracy, 90,69% recall, 90,60% precision and 90,68% f1-score. Thus, the model developed in this research demonstrates optimal performance in classifying images of Bali's Endek.

PKM IMPLEMENTASI APLIKASI PEMBELAJARAN KERANGKA TULANG BERBASIS AUGMENTED REALITY PADA SD NO. 4 ABIANSEMAL: Indonesia Yanti, Christina Purnama; Ginantra, Ni Luh Wiwik Sri Rahayu; Sastaparamitha, Ni Nyoman Ayu J; Hendrawati, Theresia; Dwipayana, Ida Bagus Rama
PROFICIO Vol. 5 No. 1 (2024): PROFICIO: Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v5i1.2959

Kerangka tulang manusia merupakan salah satu materi pembelajaran IPA pada kelas 5 SD. Di SD No. 4 Abiansemal proses pembelajaran kerangka tulang manusia hanya dijelaskan dengan media buku, hal ini disebabkan oleh alat peraga yang dimiliki mengalami kerusakan seperti ada beberapa bagian yang rusak dan hilang. Dari kuesioner yang disebarkan sebanyak 57 responden disimpulkan bahwa siswa merasa bosan dan kurang tertarik dalam pembelajaran tanpa menggunakan alat peraga. Augmented reality adalah sebuah teknologi yang dapat menyatukan dunia nyata dengan virtual secara beriringan, dengan adanya augmented reality diharapkan dapat menjadi pengganti alat visual dalam proses pembelajaran di dalam kelas. Oleh karena itu tim pengabdi melakukan pengabdian kepada masyarakat dimana tahapan awal yaitu pembuatan aplikasi Augmented Reality pengenalan Kerangka Tulang Manusia dan dilanjutkan dengan pelatihan dan pendampingan kepada siswa – siswi SD No. 4 Abiansemal dalam menggunakan aplikasi tersebut. Setelah dilakukan pelatihan, dilanjutkan dengan evaluasi kepada siswa dengan mengerjakan kuis yang ada pada aplikasi dan evaluasi terhadap aplikasi dengan pemberian kuesioner kepada 23 siswa. Dari hasil evaluasi didapat tingkat persetujuan terhadap aplikasi rata – rata adalah 83%.

Analisis Sentimen Larangan Impor Pakaian Bekas Menggunakan Metode Support Vectore Machine dan Lexicon Based Hendrawati, Theresia; Ginantra, Ni Luh Wiwik Sri Rahayu; Saiman, Clarita Mutiara
TEMATIK Vol. 11 No. 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1890

X as a social media platform, provides real-time tweets after the event, making it very relevant for sentiment analysis related to certain topics. This research discusses the prohibition on imports of used clothing in Indonesia using the SVM and Lexicon-based methods. The research aims to determine public sentiment regarding this government policy. The SVM method achieved 85.87% accuracy, with 93.83% recall for positive sentiment and 62.00% recall for negative sentiment. There were 76 wrong positive predictions with a precision of 88.11% and 37 wrong negative predictions with a precision of 77.02%. Meanwhile, the Lexicon Method achieved 60% accuracy, with a positive precision of 69% and a negative precision of 31%. Recall for the negative class is 25%, while for the positive class it is 75%. The results of sentiment analysis applying the Support Vector Machine method to build a classification model resulted in 753 data being successfully classified as positive sentiment, while 147 data were classified as negative sentiment. With different accuracies, it shows that sentiment analysis using the Support Vector Machine method has a higher level of accuracy than Lexicon.

Prediksi Harga Material Bangunan Dengan Autoregressive Integrated Moving Average (Arima) Pada CV. TJA Christina Purnama Yanti; Ni Komang Ita Cahyani; Theresia Hendrawati; Yuri Prima Fittryani; Dewa Ayu Kadek Pramita
TEMATIK Vol. 11 No. 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1914

The problem most often faced by CV TJA is that the price from the RAB (Cost Budget Plan) calculation is not in accordance with market prices, so it is necessary to predict the price of building materials to help the company prepare the RAB. The aim of this research is to examine predictions of material prices measured using the ARIMA method. The data analysis method in this study used the MA parameter (1) with the ARIMA model (0,1,1) for dynamix cement material, the MA parameter (1) ARIMA model (0,2,1) for cast sand, the MA parameter (1 ) ARIMA model (0,3,1) for threaded iron 13 and AR parameter (2) ARIMA model (2,1,0) for usuk wood material. By using 3 error testing methods, namely Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD) and Mean Squared Deviation (MSD). The results of this analysis show the lowest accuracy value, namely for dynamic cement material with a MAPE value of 5%, a MAD value of 1.986 and an MSD value is 63.584.667. The results of error tests using MAPE, MAD and MSD can be concluded that the ARIMA method is very accurate because the MAPE value is less than 10%.

PKM Pemutakhiran Data Penduduk di Desa Kukuh Kerambitan Tabanan: Indonesia Ginantra, Ni Luh Wiwik Sri Rahayu; Yanti, Christina Purnama; Wulandari, Dewa Ayu Putri; Hendrawati, Theresia
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 2 No. 1 (2023): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v2i1.49

Kukuh Village is a village located in Kerambitan District, Tabanan Regency, Bali. Regional government has been promoting routine population data collection but most people do not yet have awareness of the importance of such data collection. Village population data stored in the Kukuh Village Information System is currently inaccurate, because the population of Kukuh Village is increasing every year, causing population data stored in the Kukuh Village Information System to be less accurate. Because of this, a population data update was carried out in Kukuh Village, Kerambitan, Tabanan. This program is realized in order to make population data on the official website of the Kukuh Village Information System accurate, up-to-date, integrated, of good quality so as to create accurate population data on the official website of the Kukuh Village Information System.

Penerapan Metode Stable Diffusion Dengan Fine Tuning Untuk Pola Endek Bali Ginantra, Ni Luh Wiwik Sri Rahayu; Hendrawati, Theresia; Wulandari, Dewa Ayu Putri
TEMATIK Vol. 11 No. 2 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i2.2069

Endek Bali fabric is a cultural heritage of Bali renowned for its traditional decorative motifs, including floral, fauna, patra, and diamond patterns. Although rich in cultural value, artisans often face challenges in creating new designs that align with market trends while preserving cultural authenticity. Artificial Intelligence (AI) technology, particularly text-to-image generation models, offers a solution to this issue by streamlining the design process and enabling the exploration of new motifs. The Stable Diffusion model, introduced by Stability.AI in 2022 and open source, can be utilized to generate Endek Bali patterns through Fine Tuning techniques. Fine Tuning allows the model to be adapted to specific domains, enhancing its performance in generating textile patterns based on textual descriptions. This study aims to apply the Stable Diffusion model and Fine Tuning techniques to create new patterns and motifs. By using this model, it is hoped that innovative designs can be produced while maintaining the authenticity and local cultural values of Bali. The research demonstrates that the Fine-Tuned Stable Diffusion model is effective in creating Endek Bali patterns with high accuracy, as evaluated by Clip Similarity, with the highest scores achieved for Floral Patterns (92.43), followed by Decorative (free-form motifs) Floral (88.77), Decorative (free-form motifs) Geometric (87.94), and Decorative (free-form motifs) (85.79). These findings indicate the model’s flexibility and effectiveness in producing intricate textile designs, enabling designers and artisans to generate complex and innovative patterns solely from textual descriptions while preserving Bali’s cultural values.

ANALYSIS OF E-LEARNING ACCEPTANCE IN GENERATION Z STIKI INDONESIA DURING THE COVID-19 PANDEMIC I Gusti Ayu Agung Mas Aristamy; Theresia Hendrawati
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1302

E-Learning has been applied for a long time in Indonesia and other developed and developing countries. However, research by Salloum et.al., said that E-Learning systems in developing countries were partially or completely not adopted; utilization has not been completed and is considered less than a satisfactory level. This refers to the lack of understanding of the factors that influence adoption. One of the latest studies on distance learning during the COVID-19 pandemic said that there were several obstacles experienced by students, and teachers. This study aims to analyze the adoption of E-Learning technology in Generation Z at one of university in Bali during the COVID-19 pandemic. Results of this study indicate that there is a positive impact of computer self-efficacy and accessibility on the perception of the ease with which students use the E-Learning system. The factors of information quality and content quality positively affect the students' perceived ease of use and usefulness of the E-Learning system. It is this perception of the usefulness and ease of use of the E-Learning system that has an increasing impact on students' intentions and attitudes to use the E-Learning system in the future.

Implementasi Aplikasi Buku Kas Untuk Menunjang Kompetensi Siswa Jurusan Akuntansi Ni Luh Wiwik Sri Rahayu Ginantra; Christina Purnama Yanti; Theresia Hendrawati
Darma Abdi Karya Vol. 3 No. 2 (2024): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v3i2.2167

At this time, people are more directed towards consumptive behavior in living their daily lives. The same is true for teenagers, the majority of whom follow a lifestyle in accordance with current trends. By following this trend, it is certain that adolescents will spend more money and not commensurate with existing income. Similarly, students at SMK Dwijendra Denpasar majoring in Accounting have problems where students are difficult to manage their personal finances. With our community service activities, it is hoped that it can help students in terms of a good financial management system and can improve skills and knowledge about how to manage personal finances so that later in the world of work it is expected to be able to manage company finances. The output of this research is that students are able to identify and prioritize the main priorities for allocating their personal funds. In addition, students can feel financial security in meeting sudden needs, because they have sufficient savings in the future.

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