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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Teknologi Informasi Asia JURNAL MEDIA INFORMATIKA BUDIDARMA 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 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) 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 (JPMTB) Journal of Social Work and Empowerment

Ni Luh Wiwik Sri Rahayu Ginantra

Institut Bisnis Dan Teknologi Indonesia

Author-ID : 5618458

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Penerapan Apriori Hybrid Pada Transaksi Penjualan Barang I Made Dwi Putra Asana; Ni Luh Wiwik Sri Rahayu Ginantra; Wayan Gede Suka Parwita; Ni Kadek Bumi Krismentari; Ni Putu Suci Meinarni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3350

Ayu Nadi Swalayan is a retail company that produces a lot of every day sales transaction data, and it is stored for years without knowing the benefits and the placement of the goods is still random. From these problems, an effort is needed to process the data so the data is useful in the future. One of the process is using data mining techniques with apriori hybrid algorithm to find association rules for an items combination. Data product sale in a certain period is used to find the association rules. The results of this study are the development of applications that are used to determine consumer spending habits. So that the company can develop a strategy to promote the product sale and close placement for items that are often purchased together. The application testing found the effect of minimum support, minimum confidence on the number of rules, and lift ratio testing. The smaller the minimum support and minimum confidence, the more rules are generated and vice versa. The lift ratio value is directly proportional to the minimum confidence value and inversely proportional to the minimum support value. The higher the minimum confidence value, the higher the lift ratio value and vice versa. The more items in the transaction cause the minimum support threshold to be lowered in order to generate rules for the data analysis process with the hybrid apriori algorithm

IMPLEMENTASI ALGORITMA GENETIKA BERBASIS WEB PADA SISTEM PENJADWALAN MENGAJAR DI SMK DWIJENDRA DENPASAR Ni Luh Wiwik Sri Rahayu Ginantra; Ida Bagus Gede Anandita
Jurnal Teknologi Informasi dan Komputer Vol 5, No 1 (2019): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.327 KB)

ABSTRACTIntelligence from a computer that can mimic the human work system is commonly referred to as artificial intelligence which can solve problems (problem solving) that are complicated and sometimes humans themselves cannot solve them, as in the process of scheduling subjects. The preparation of scheduling school subjects is prepared by considering several components including; Teachers, time, majors, levels, and subjects themselves. Based on these problems the researchers conducted a study of scheduling school subjects with the method of Genetic Algorithm and took a case study at one of the private vocational high schools in Denpasar, namely SMK Dwijendra Denpasar. Based on the results of the design and discussion that have been conducted, scheduling teaching with Genetic Algorithms with case studies at Dwijendra Vocational School can be done by using subject data and teachers from the Vocational School and producing teaching schedules for teachers at the school so that there is no schedule clash. The results of testing carried out in this study are by testing measurements of population size and size of generations. The test was carried out by using a population size and generation of 150 with a crossover rate (cr) of 50%. The test results show that in a small population and generation produce a variety of fitness values. Good fitness values are generated in populations and generations above 50.Keywords: Genetic Algorithms, Scheduling, Lesson Type.ABSTRAKKecerdasan dari komputer yang dapat meniru system kerja manusia biasa disebut dengan istilah kecerdasan buatan (artificial intelegence) yang dapat memecahkan masalah (problem solving) yang rumit dan kadang manusia sendiri tidak dapat menyelesaikannya, seperti dalam proses penjadwalan mata pelajaran. Penyusunan penjadwalan mata pelajaran sekolah disusun dengan mempertimbangkan beberapa komponen diantaranya ; Guru, waktu, jurusan, jenjang, dan mata pelajaran itu sendiri. Berdasarkan permasalahan tersebut peneliti melakukan penelitian tentang penjadwalan mata pelajaran sekolah dengan metode Algoritma Genetika dan mengambil studi kasus pada salah satu sekolah menengah kejuruan (SMK) swasta di Denpasar yaitu SMK Dwijendra Denpasar. Berdasarkan hasil perancangan dan pembahasan yang telah dilakukan, penjadwalan mengajar dengan algoritma Genetika dengan studi kasus di SMK Dwijendra dapat dilakukan dengan menggunakan data mata pelajaran dan guru dari SMK tersebut dan menghasilkan jadwal mengajar bagi guru di sekolah tersebut sehingga tidak terjadinya bentrokan jadwal. Hasil pengujian yang dilakukan pada penelitian ini yaitu dengan pengujian pengukuran ukuran populasi dan ukuran ukuran generasi. Pada pengujian tersebut dilakukan dengan menggunakan ukurun populasi dan generasi sebanyak 150 dengan crossover rate (cr) 50%. Hasil pengujian menunjukan bahwa pada populasi dan generasi sedikit menghasilkan nilai fitness yang beragam. Nilai fitness yang baik dihasilkan pada populasi dan generasi diatas 50.Kata Kunci : Algoritma Genetika, Penjadwalan, Mata Pelajaran

Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC Ni Luh Wiwik Sri Rahayu Ginantra; Achmad Daengs GS; Silfia Andini; Anjar Wanto
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

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

Penerapan Metode Single Exponential Smoothing Dalam Peramalan Penjualan Barang Ni Luh Wiwik Sri Rahayu Ginantra; Ida Bagus Gede Anandita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The technology of buying and selling goods in managing goods in and out will provide convenience for the management in managing stock data, financial control and profit calculation that will be immediately known by stakeholders. Forecasting method is a method that is able to analyze several factors that are known to influence the occurrence of an event with a long grace period between the need for knowledge of an event to occur in the future and the time the event has occurred in the past. In a retail company, if this forecasting method is applied in the planning of goods management, the company will be assisted in the process of planning the sale of goods which is currently still being done by predicting the amount of sales of goods that will come without any calculation, causing excessive purchases of goods that can affect the stock of goods. Single exponential smoothing method is a development of the single moving averages method where the forecasting method is done by repeating calculations continuously using the latest data and each data is weighted. The single exponential smoothing method considers the weight of the previous data by giving weight to each data period to distinguish the priority of data. The single exponential smoothing method is a method used in short-term forecasting that is usually only 1 month ahead which assumes that the data fluctuates around a fixed mean value without consistent trends or growth patterns. The accuracy of the application of the single exponential method in forecasting sales of goods in this study with an alpha value of 0.1 on the MAPE calculation average is 2%.

Sistem Pendukung Keputusan Penerimaan Tenaga Unit Medis di RS Ari Canti dengan Metode Topsis Ni Luh Wiwik Sri Rahayu Ginantra; Christina Purnama Yanti; Dewa Gede Toraja
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.257

Ari Canti Hospital selectively conducts selection in the company environment that is by selecting one by one application then do some test on applicants with several criteria. With a large number of applicants making the selection process takes a lot of time and effort, as well as applicant data and the outcomes of the applicants are not well archived. Based on the above problems, need a solution to problem-solving by making a Decision Support System to determine the appropriate applicants to become new employees by facilitating the selection of employees by predetermined criteria. The TOPSIS method is chosen because this method is a form of decision support method based on the concept that the best alternative not only has the shortest distance from the ideal solution but also has the longest distance Of the ideal solution. The result of the design of this Decision Support System is the system has been able to generate reports from the applicant rank calculation by the values that have been obtained on the criteria that have been determined. The calculation results of the Decision Support System is already by the calculations performed manually.

Analysis of ANN Backpropagation Ability to Predict Expenditure Group Inflation Mhd Ali Hanafiah; Ni Luh Wiwik Sri Rahayu Ginantra; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The Covid-19 pandemic that has hit the world, especially Indonesia, has greatly disturbed the stability of the inflation rate. Inflation that continues to increase will disrupt the economy in this country. Therefore this study aims to analyze the ability of ANN backpropagation which will be applied to predict the development of the inflation in Indonesia during the Covid-19 pandemic so that later it can be useful information for the government and society. The research data used is inflation data according to expenditure groups obtained from CBS (Central Statistics Agency) in January-May 2020. Prediction is done using the backpropagation neural network algorithm. This paper uses four network architectures, namely: 3-5-1, 3-10-1, 3-25-1 and 3-50-1. Based on the training and testing of the four models, the 3-10-1 model is the best architectural model that is suitable for predicting the development of the inflation in Indonesia with an accuracy of 75%. Also, this model performs an iteration of 25303 and an MSE test of 0.0362820326. Based on the prediction results in June-August 2020 and real data obtained from the Central Statistics Agency, ANN using the backpropagation method is highly recommended to be used to predict the development of Indonesian Inflation according to the Expenditure Group.

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

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

Sistem Informasi Pengelolaan Travel Agent Berbasis Website Ni Luh Wiwik Sri Rahayu Ginantra; Aditya Penanta
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 3 (2019): March
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Travel agent is a company engaged in the travel agency. Business management processes such as making sales invoices that still use the handwriting method along with sales and purchase reports that are still used Microsoft Excel. Travel agent requires a website-based system where the management of its business to be more effective , safe and accessible anywhere and anytime. In the design phase Data Flow Diagram notation is used, Conceptual Data Models, Physical Data Models and Mockups. The development of the system uses Sublime Text 3 and SQLyog as a Database Management System and is tested using blackbox testing. The results have successfully built an information system for managing a travel agent where the system was built aimed at helping the business management process of Travel agent to be faster, neater, avoid the risk of losing and unnecessary errors.

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

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.

Measurement of the Similarity of Indonesian Papers on One Journal Topic with the Naive Bayes Algorithm and Vector Space Model Ni Luh Wiwik Sri Rahayu Ginantra; Ni Wayan Wardani
IJCONSIST JOURNALS Vol 1 No 1 (2019): September
Publisher : International Journal of Computer, Network Security and Information System

Abstractâ€” One way to maintain the quality of scientific work in Indonesia is by checking articles before they are published. Checking before the publication was done so that the similarity level is not high because the published papers can be quoted to cause a high level of similarity. The next problem is the importance of grouping topic papers, where papers to be checked should have the same category as comparative papers. In this study, to classify the topic of the journal using the NaÃ¯ve Bayes algorithm and to measure the similarity of papers using the Vector Space Model method. NaÃ¯ve Bayes algorithm can better classify the test data with the .docx file format than to the test data in the .pdf file format. The results of the calculation of text similarity detection by the Vector Space Model can reach 90% and above for test data with the .docx file format, while for test data with the .pdf file format the calculation results by the Vector Space Model are on average less than 90%. The results of the calculation of text similarity detection by the Vector Space Model method are also strongly influenced by training data. The more complete and complex of the training data, then more valid the results of the Vector Space Model performance testing

Co-Authors Abdi Rahim Damanik Aditya Penanta Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dewa Gede Toraja Faisal Amir Gede Surya Mahendra GS , Achmad Daengs I Gede Iwan Sudipa I Gusti Agung Indrawan I Gusti Ayu Agung Diatri Indradewi I Kadek Andika Putra I Kadek Budi Sandika I Ketut Sutarwiyasa Ida Bagus Gede Anandita Ida Bagus Gede Anandita Ida Bagus Rama Dwipayana Ika Okta Kirana Ilham Tri Maulana Jasmir Komang Kurniawan Widiartha Made Suci Ariantini Mahmuda Lailiya Mhd Ali Hanafiah Ni Kadek Ariasih Ni Kadek Bumi Krismentari Ni Kadek Nita Noviani Pande Ni Luh Putu Mery Marlinda Ni Nyoman Ayu J Sastaparamitha Ni Putu Adelia Indah Paramita Ni Putu Suci Meinarni Ni Wayan Eva Agustini Ni Wayan Wardani Ni Wayan Wardani Pande Putu Sukma Awantari Pressa Persana Surya Saputra Putu Surya Wedra Lesmana Samsul Lutfi Sandi, Victor Ari Silfia Andini Surya Hendraputra Theresia Hendrawati Victor Ari Sandi Wanto, Anjar Wayan Gede Suka Parwita Winatha, Komang Redy

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