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All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Indonesian Journal of Data and Science Tematik : Jurnal Teknologi Informasi Komunikasi IJISTECH JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Informatics Management and Information Technology PROFICIO: Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) International Journal Of Computer, Network Security and Information System (IJCONSIST) JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Social Work and Empowerment Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Ni Luh Wiwik Sri Rahayu Ginantra
Institut Bisnis Dan Teknologi Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Komparasi Metode Single Moving Average dan Double Exponential Smoothing untuk Peramalan Penjualan Produk Gerabah pada UD. Amerta Sedana Christina Purnama Yanti; Ni Luh Wiwik Sri Rahayu Ginantra; Dewa Ayu Putri Wulandari; Ni Putu Adelia Indah Paramita
JURIKOM (Jurnal Riset Komputer) Vol 9, No 3 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i3.4143

Abstract

One of the areas producing creative industries in Bali is Tabanan Regency which produces creative industries in the form of pottery. In the community, earthenware products are usually known in the form of objects that function as containers, for example flower vases, pots, barrels, jugs, jars and so on. Sales of pottery products at the UD company. Amerta Sedana every month experiences erratic fluctuations. In planning sales, the company only estimates the number of sales without using the scientific method as a benchmark to assist the company in determining the next sales. This causes the company to be unable to maximize sales for the following month and fulfill consumer demand for goods. One solution that can be used is to do forecasting. Forecasting is a picture of the state of the company in the future and this picture is very important for the company. There are various types of methods that can be used to perform forecasting calculations. This study uses a comparison of the Single Moving Average and Double Exponential Smoothing methods for forecasting sales of small pot number 1, pot lion white, and pot monkey. The results showed that the calculation with the smallest error value was the sale of small pot number 1 with the 2-month Single Moving Average method with an MSE value of 56.1 and an MAD value of 4.942857, a lion white pot with a 2-month Single Moving Average method with an MSE value of 707.3214. and the MAD value is 18.82857, the monkey pot uses the 2-month Single Moving Average method with a value of 247.8786 and a MAD value of 11.32857
Komparasi Metode Simple Additive Weighting dan Profile Matching dalam Penentuan Pemberian Beasiswa di SMA Negeri 1 Abiansemal Christina Purnama Yanti; Pande Putu Sukma Awantari; I Gede Iwan Sudipa; Ni Luh Wiwik Sri Rahayu Ginantra
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3684

Abstract

SMA Negeri 1 Abiansemal is an educational institution with a state status located on Jalan Majapahit, Blahkiuh Village, Abiansemal District, Badung Regency which accommodates approximately 1,300 students. This school has a scholarship program for underprivileged and high achieving students. In this case study, four criteria are used, including information about being unable, parents' income, number of dependents, and average report cards. In this study, the authors conducted a comparative analysis of two methods, namely the SAW method (Simple Additive Weighting) and Profile Matching to find out which method was most suitable for use in determining the award of scholarships at SMA Negeri 1 Abiansemal by looking at the results of the comparison on the sensitivity test, then the method that has higher sensitivity values will be used in future system implementations so that the results obtained are more accurate. From the sensitivity test that has been carried out, the results obtained that the percentage sensitivity of the SAW method is 5.9166% or rounded to 6% while the Profile Matching method is 27% which can be concluded that the suitable method in this case is the Profile Matching method because this method has higher sensitivity than the SAW (Simple Additive Weighting) method.
Website-Based Budget Adjustment Information System at PT. Taspen (Persero) Denpasar Branch Office Mahmuda Lailiya; Ni Luh Wiwik Sri Rahayu Ginantra; Gede Surya Mahendra
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1041.46 KB) | DOI: 10.55123/jomlai.v1i1.162

Abstract

The activities of the budget adjustments in the manufacture of the allocation of procurement of goods still have not been done optimally. This leads to lack of control over spending budget. The purpose of this research is to make the Information Systems Budget Adjustments Purchase Website Based on PT. Taspen (Persero) Kantor Cabang Denpasar, which is the solution of the weakness of the existing system. This study aims to produce a system that will simplify and accelerate the employees of PT. Taspen (Persero) Denpasar in adjusting the budget the purchase of equipment and supplies so as to produce the management of the orderly, effective, and efficient. The stages in achieving this goal based on the methods of the waterfall includes Flowmap, Context Diagram, Data Flow Diagram, Entity Relationship Diagram, and database design using software package xampp and MySQL. Testing methods carried out using black box testing. The results obtained in the form of the establishment of a system that supports the process of inputting the data of the budget, the calculation of the adjustment of the budget, and reporting the data required as an accountability report
Optimization of Performance Traditional Back-propagation with Cyclical Rule for Forecasting Model Anjar Wanto; Ni Luh Wiwik Sri Rahayu Ginantra; Surya Hendraputra; Ika Okta Kirana; Abdi Rahim Damanik
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 1 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.1826

Abstract

The traditional Back-propagation algorithm has several weaknesses, including long training times and significant iterations to achieve convergence. This study aims to optimize traditional Back-propagation using the cyclical rule method to cover these weaknesses. Optimization is done by changing the training function and standard Back-propagation parameters using the training function and cyclical rule parameters. After that, a comparison of the two results will be carried out. This study uses quantitative method of time-series data on coronavirus cases sourced from the Worldometer website, then analyzed using three forecasting models with five input layers, one hidden layer (5, 10, and 15 neurons) and one output layer. The results showed that the 5-10-1 model with the training function and cyclical rule parameters and the tansig and purelin activation functions could perform well in optimization, including faster training time and smaller iterations (epochs), MSE training performance, and better tests. Low and high accuracy (92%) with an error rate of 0.01. So it was concluded that the training function and cyclical rule parameters with the tansig and purelin activation functions were able to optimize the traditional Back-propagation method, and the 5-10-1 model could be used for forecasting active cases of the coronavirus in Asia
Perbandingan Metode K-NN Dan Metode Random Forest Untuk Analisis Sentimen pada Tweet Isu Minyak Goreng di Indonesia Christina Purnama Yanti; Ni Wayan Eva Agustini; Ni Luh Wiwik Sri Rahayu Ginantra; Dewa Ayu Putri Wulandari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5900

Abstract

Along with the development of technological advances, a lot of social media is used by humans, one of which is Twitter social media. On Twitter social media, we can find a lot of text data, opinions and public opinion, as the issue of cooking oil is currently hot in Indonesia. In this study, the K-NN and Random Forest methods were used, and the purpose of this study was to compare the two methods in sentiment analysis on the issue of cooking oil. The results of the accuracy of these two methods are not too far apart. Each of the two methods used will be divided into three research scenarios, the first is scenario 1, a collection of 500 data, scenario 2, a collection of 800 data, and scenario 3, a collection of 1,000 data, where the ratio of training data and test data is 80:20. The test results for the K-NN method in scenario 2 are superior with an accuracy presentation of 74.58%, 56.75% precision and 44.57% recall and the lowest result is the K-NN method scenario 1 with an accuracy presentation of 71. 50%, 47.83% precision and 37.45% recall. The average test results for the K-NN method are 72.86% accuracy, 52.26% precision and 41.04% recall. While the average results of the random forest method are 73.37% accuracy, 52.26% precision and 34.28% recall
PKM Pelatihan dan Penyuluhan Protokol Kesehatan PKK Desa Bunutin Komang Redy Winatha; Ni Luh Wiwik Sri Rahayu Ginantra; Christina Purnama Yanti; Ni Kadek Nita Noviani Pande
Journal of Social Work and Empowerment Vol 1 No 1 (2021): Journal of Social Work and Empowerment - September 2021
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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

Abstract

Peran lingkungan keluarga melalui kelompok PKK dalam menerapkan tatanan new normal/kehidupan baru sangat perlu dilakukan. Namun penerapan protokol kesehatan pada tatanan new normal ini belum dipahami dengan benar oleh masyarakat. Hal ini tampak pada hasil observasi yang dilakukan di Desa Bunutin Bangli, dimana masyarakat belum memiliki sanitasi protokol kesehatan. Melihat permasalahan tersebut maka perlu dilakukan penyuluhan dan sosialisasi tentang protokol kesehatan melibatkan narasumber dari praktisi kesehatan sehingga dapat memberikan pengetahuan yang baik kepada kelompok masyarakat melalui kelompok penggerak PKK Desa Bunutin. Tujuan dari PKM ini memberikan pengetahuan kepada masyarakat Desa Bunutin tentang contoh penerapan protokol kesehatan yang baik dan benar dimasa pandemi. Gambaran umum kegiatan ini yakni memberikan penyuluhan tentang pentinnya protokol kesehatan, praktik pembuatan sabun cuci tangan cair, hand sanitizer, desinfektan dan pengemasan produk yang dihasilkan. Luaran yang dihasilkan dari kegiatan ini yakni pemahaman masyarakat kelompok penggerak PKK Desa Bunutin terhadap penerapan protokol kesehatan dalam kehidupan sehari-hari meningkat, terpenuhinya fasilitas sanitasi kesehatan tiap keluarga di Desa Bunutin Bangli, serta masyarakat memiliki keterampilan mandiri dalam membuat sabun cuci tangan.
Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC Ginantra, Ni Luh Wiwik Sri Rahayu; GS, Achmad Daengs; Andini, Silfia; Wanto, Anjar
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.887 KB) | DOI: 10.47065/bits.v3i4.1449

Abstract

Conjugate gradient Fletcher-Reeves algorithm, according to some literature, is an optimization method that is suitable when juxtaposed with the backpropagation method because this method can speed up the training time to achieve a minimum convergence value. Therefore, this study aims to prove whether the algorithm has good performance and can provide efficient convergence results when used to solve prediction problems in the case of export values ​​according to the Standard International Trade Classification (SITC) class. The results of this study are a predictive model that can be used and developed to make predictions in seeing the development of the export value of the SITC class based on the US Dollar currency. The research data was taken from the website of the Central Statistics Agency for 2010-2020. Prediction models that will be analyzed using the Fletcher-Reeves algorithm include 5-20-1, 5-25-1, and 5-30-1, with the activation functions of tansig and logsig. Based on the analysis carried out through excel calculations from the training and testing process using the Matlab-2011b application, the results obtained that the 5-25-1 network model is the best model with a performance value or Mean Square Error 0.00287273 compared to the other four models. So it can be concluded that the Fletcher-Reeves algorithm is proven to produce faster convergence; it can be seen from the epoch generated from each model that it is not too large and the time required is relatively short
PKM Optimalisasi Pengelolaan Sampah Melalui Pemilahan Pada Sumber Timbulannya di Desa Pecatu, Kecamatan Kuta Selatan, Kabupaten Badung, Bali Sandika, I Kadek Budi; Ariasih, Ni Kadek; Sutarwiyasa, I Ketut; Lesmana, Putu Surya Wedra; Ginantra, Ni Luh Wiwik Sri Rahayu; Widiartha, Komang Kurniawan; Marlinda, Ni Luh Putu Mery; Indrawan, I Gusti Agung
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 1 No. 4 (2022): Desember : Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v1i4.61

Abstract

Pemerintahan desa Pecatu belum mampu menangani sampah pada unit jasa pengelolaan sampah secara maksimal karena sampah belum terpilah di sumber timbulannya, mesin yang kurang bagus, serta belum menemukan formula tepat menangani masalah residu. Tujuan Kegiatan PKM yaitu melakukan optimalisasi pengelolaan sampah melalui proses pemilihan. proses edukasi kepada masyarakat sebagai target dari transfer knowledge tata cara pemilahan sampah, karena masyarakat merupakan sumber timbulan dari pengelolaan sampah. Kegiatan PKM ini memberikan solusi yang ditawarkan dengan sumber daya yang dimiliki adalah sosialisasi, edukasi dan pendampingan pemilahan sampah di sumber timbulan sampah/pelanggan. Hasil penelitian berfokus pada kegiatan pendampingan program pemilahan sampah ditargetkan pada 5% pelanggan unit jasa pengelolaan sampah, Tahapan pengabdian yang direncanakan adalah persiapan, FGD unsur pemerintahan desa dinas dan desa adat, sosialisasi pemilahan sampah, monitoring pelaksanaan pemilahan sampah disumbernya, serta evaluasi kegiatan. Hasil PKM menunjukkan tingkat pemahaman dan konsistensi masyarakat pada proses pemilahan sampah rerata adalah 63%.
Penerapan Metode E-Service Quality Terhadap Pengukuran Tingkat Kepuasan Penggunaan Marketplace Parwita, Wayan Gede Suka; Indradewi, I Gusti Ayu Agung Diatri; Ariantini, Made Suci; Ginantra, Ni Luh Wiwik Sri Rahayu; Putra, I Kadek Andika
SINTECH (Science and Information Technology) Journal Vol. 5 No. 2 (2022): SINTECH Journal Edition Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i2.1236

Abstract

Intense competition makes various existing markets must be able to provide the best and satisfaction for users to win the existing competition. In the review of the JD.ID application during versions 6.3 and 6.4 there were several user complaints that led to system and service quality problems. Service quality is one of the factors supporting the success or failure of an information system to provide satisfaction to its users. The purpose of this study was to determine how the influence of electronic service quality (e-service quality) on user satisfaction in the JD.ID application. The type of analysis used in this study is simple regression analysis with descriptive analysis to describe a generalization or explain the research subject based on the dimensions of e-service quality, so that an overview of the effect of e-service quality on user satisfaction can be obtained. The processed data was obtained from distributing questionnaires by using the google form. The results showed that the majority of JD.ID marketplace users in Badung Regency were women. The test results show that e-service quality which consists of dimensions of efficiency, system availability, fulfillment, privacy, responsiveness, compensation, and contact has a significant influence on user satisfaction and has a strong correlation, meaning that the higher the service quality JD has. ID, the higher the level of satisfaction of JD.ID users. It can be said that the service quality of JD.ID is quite good in providing user satisfaction.
Komparasi Metode LSTM dan GRU dalam Memprediksi Harga Saham Meri Aryati, Ni Wayan; Wiguna, I Komang Arya Ganda; Putri, Ni Wayan Suardiati; Widiartha, I Komang Kurniawan; Ginantra, Ni Luh Wiwik Sri Rahayu
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7342

Abstract

The rapid development of technology has an impact on the economy of society, one of which is investing in stocks. Stocks are evidence of ownership of an individual's assets in a company. However, stock prices have very high levels of fluctuation, requiring accurate methods to assist in predicting stock prices. LSTM and GRU were chosen for their intrinsic ability to handle long-term and short-term problems in time series data. LSTM has a complex memory structure that allows decision-making based on long and short-term information. Meanwhile, GRU has a simpler structure with a focus on gate mechanisms to control information flow, resulting in lighter and faster models. Therefore, this study will compare two RNN methods, Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU), in predicting stock prices using MAPE and RMSE evaluation metrics. The combination of parameters used to evaluate the MAPE and RMSE values in this study includes learning rate, timestamps, batch size, and epoch. The results of this study show that the GRU method is more accurate compared to the LSTM method. This is evidenced by the evaluation results of the LSTM method with the lowest MAPE value of 2.42% and the lowest RMSE value of 0.01807, while the evaluation results of the GRU method with the lowest MAPE value of 2.14% and the lowest RMSE value of 0.01775. The combination of parameters used in this study also has an influence on the final MAPE and RMSE results, especially in the use of learning rates of 0.001 and 0.0001. Therefore, it can be concluded in this study that the GRU method is more accurate and effective compared to the LSTM method in predicting stock prices.
Co-Authors Abdi Rahim Damanik Anandita, Ida Bagus Gede Ariana, Anak Agung Gede Bagus Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dwipayana, Ida Bagus Rama Faisal Amir Gede Surya Mahendra GS , Achmad Daengs Harly Okprana Hendrawati, Theresia I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Agung Indrawan I Gusti Ayu Agung Diatri Indradewi Ika Okta Kirana Ilham Tri Maulana Jasmir Krismentari, Ni Kadek Bumi Made Suci Ariantini Mahmuda Lailiya Meri Aryati, Ni Wayan Mhd Ali Hanafiah Ni Kadek Ariasih, Ni Kadek Ni Kadek Nita Noviani Pande NI LUH PUTU MERY MARLINDA Ni Putu Adelia Indah Paramita Ni Putu Suci Meinarni Ni Wayan Eva Agustini Ni Wayan Suardiati Putri Ni Wayan Wardani Ni Wayan Wardani Pande Putu Sukma Awantari Penanta, Aditya Prasetya, I Kadek Diksa Bayu Pressa Persana Surya Saputra Putra, I Kadek Andika Putu Surya Wedra Lesmana Saiman, Clarita Mutiara Samsul Lutfi Sandi, Victor Ari Sandika, I Kadek Budi Sastaparamitha, Ni Nyoman Ayu J Silfia Andini, Silfia Surya Hendraputra Sutarwiyasa, I Ketut Teuku Afriliansyah Toraja, Dewa Gede Victor Ari Sandi Wanto, Anjar Wardani, Ni Wayan Wayan Gede Suka Parwita Wayan Sauri Peradhayana Widiartha, I Komang Kurniawan Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Winatha, Komang Redy Wulandari, Dewa Ayu Putri