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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Pengabdian Informatika (JUPITA)
Ida Bagus Gede Dwidasmara
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Implementation of K-Modes Algorithm for Clustering of Stress Causes in University Students Dewi, Ni Putu Mira Novita; Dwidasmara, Ida Bagus Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 3 (2021): JELIKU Volume 9 No 3, Februari 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v09.i03.p17

Abstract

Stress is an inevitable part of life in a college environment. The variety of factors that cause stress in students, it is necessary to cluster the factors that cause stress in students to see the description of the characteristics of each cluster of students. The clustering process is carried out to identify the causes of stress in student groups and their relationship to these internal and external factors. Cluster analysis can be used as a reference to decide on efforts to handle and prevent increased stress in students. The clustering process is carried out using the Python programming language. The algorithm used is the k-modes clustering algorithm. This algorithm is suitable for clustering categorical data. The optimal number of clusters obtained from the implementation of the elbow method is three clusters. Cluster 1 is a cluster with a mild stress level, the main cause of stress is academic issues. Cluster 1 is the only group where the majority of the cause of stress is not financial. Cluster 2 is a cluster with a high stress level which causes various stressors. However, cluster 2 is the only cluster where the cause of stress is on careers and on involvement in hostels, clubs, and society. Cluster 3 is a cluster with a medium stress level. This cluster is the only cluster dominated by male gender. The main cause of stress in this cluster is academic and financial.
Tourism Recommendation System in Bali Using Topsis and Greedy Algorithm Methods Ubaidillah, Muhammad Afif; Gede Dwidasmara, Ida Bagus
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i03.p09

Abstract

Tourism is the mainstay of the economy of the region of Bali and is an important sector in supporting the level of community welfare. The world of tourism is essentially an important symbol for Bali. Of the many tourists who come to Bali, of course not all tourists know all information about Bali, such as in terms of tourist locations, and tourist attractions closest to other tourist attractions. Therefore, the authors aim to create a recommendation system that can provide planning for the selection of tourist attractions according to the closest distance and the user's budget. This system is designed using the TOPSIS (Technique for Order Preference by Similarity To Ideal Solution) method and the Greedy Algorithm. The TOPSIS method is a SPK (Decision Making System) that will be used for the selection of tourist attractions that will help tourists to arrange vacation planning before going on a tour. While the Greedy Algorithm is used to find the closest or shortest distance between a tourist site and other tourist attractions, this algorithm will be able to determine which path will be taken first or called the local optimal path, so that all the paths are taken at the end of the trip and create a travel route shortest or called the global optimum so that it can also be the expected solution. From this it can be determined the value of the shortest travel route that starts from the location of the user's residence to the tourist attractions and to other nearby tourist attractions. The data used is data obtained from DISPARDA, namely tourist data. Research related to the selection of tourism object decisions based on the type of tourism, prices and facilities, and the results are able to provide recommendations for tourist attractions that meet these criteria. Tourism Selection Using Techniques For Order Preference By Similarity To Ideal Solution (Topsis) With Object Localization Visualization [4], Development of Decision Support System for Hotel Determination in Buleleng District Using Analytic Hierarchy Process (AHP) Method and Technique for Others Reference By Similarity To Ideal Solution (TOPSIS) [3], a Decision Support System for Determining Tourist Locations using the Top-sis Method [6]
PERANCANGAN DAN IMPLEMENTASI WAREHOUSE MANAGEMENT SYSTEM DI PT. PERTAMINA DPPU NGURAH RAI Fauzi, Andy Bastian; Dwidasmara, Ida Bagus Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Volume 1 No 2 - Nopember 2012
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Pada era globalisasi saat ini, segala sesuatunya dituntut untuk dikerjakan secaracepat, tepat dan praktis. Termasuk di dalam suatu instansi atau perusahaan yang menginginkanproses pencatatan dan pengolahan data secara cepat, tidak terkecuali pada PT. PertamninaDPPU Ngurah Rai. Untuk itu diperlukan suatu sistem yang dapat mencatat dan mengolah datadengan praktis, mudah dioperasikan serta tidak membutuhkan banyak tenaga kerja.Warehouse Management System merupakan suatu software yang dirancang untuk mendukungmanajemen pergudangan yang digunakan untuk mengelola dan mengendalikan proses yangterjadi didalam supply chain. Perancangan Warehouse Management System ini dimulai dariperancangan sistem dan perancangan antar muka, kemudian hasil perancangan dituangkandalam bahasa pemrograman PHP. Hasilnya menunjukkan bahwa sistem ini sudah beroperasisesuai tujuan pembuatannya yaitu dapat mempercepat lead time proses karena proses yangterjadi seperti pencatatan data barang, pencatatan data transaksi, penghitungan jumlahbarang, serta pencetakan laporan dilakukan secara komputerisasi.
Implementation Of The K-Nearest Neighbor (KNN) Algorithm For Classification Of Obesity Levels Dewi, Ayu Made Surya Indra; Dwidasmara, Ida Bagus Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v09.i02.p15

Abstract

Obesity or overweight is a health problem that can affect anyone. In research in several journals, it was found that obesity can be influenced by many factors, but the most dominant factors are lifestyle and diet. Obesity should not only be considered as a consequence of an unhealthy lifestyle, but obesity is a disease that can lead to other dangerous diseases. Therefore, it is important to know the level of obesity in order to take early prevention. To determine the level of obesity, a classification method is used, namely K-Nearest Neighbor (KNN) to classify the level of obesity. In this study, classification was carried out with 16 test parameters, namely Gender, Age, Height, Weight, Family History With Overweight, FAVC, FCVC, NCP, CAEC, Smoke, CH2O, SCC, FAF, TUE, CALC, Mtrans and 1 class attribute, namely Nobesity. From tests carried out using the KNN algorithm, the results obtained are 78.98% accuracy with a value of k = 2. Keywords: Obesity, KNN, Classification
Peringkas Teks Otomatis Berita Online Menggunakan Metode Cross Latent SemanticAnalysis & Cosine Similarity Ubaidillah, Muhammad Afif; Dwidasmara, Ida Bagus Gede; Muliantara, Agus
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 1 (2020): JELIKU Volume 9 No 1, Agustus 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v09.i01.p11

Abstract

Ringkasan merupakan suatu cara yang efektif untuk meyajikan suatu karangan yang panjang dalam bentuk yang singkat. Walaupun bentuknya ringkas, namun ringkasan itu tetap memepertahankan pikiran pengarang dan pendekatannya yang asli. Namun dalam membuat ringkasan kita harus membaca berita atau artikel terlebih dahulu, sedangkan ringkasan dibuat dengan tujuan untuk meminimalkan waktu pembaca dan memberikan teks yang isinya langsung mengarah pada tujuan utama atau ide pokoknya. Pada penelitian ini memaparkan peringkasan teks otomatis berita online dari sebuah website menggunakan CLSA (Cross Latent Semantic Analysis) dan Cosine Similarity. Penelitian ini dilakukan untuk menguji seberapa baik hasil dan akurasi ringkasan yang dilakukan oleh CLSA dan cosine similarity. Penelitian ini menggunakan data sekunder dari berita dari media online yaitu web balipost.com dengan wilayah khusus Denpasar. Proses pengambilan data dilakukan dengan cara crawling. Data berita yang digunakan ialah sebanyak 161 berita, berita hasil ringkasan sistem nantinya akan dibandingkan dengan hasil ringkasan manual untuk mendapatkan akurasinya. Dari hasil pengujian yang dilakukan oleh sistem didapatkan nilai rata – rata akurasi F-Measure sebesar 58%, rata – rata Precision 62% dan rata – rata Recall 57%. Hasil dari penelitian peringkasan teks otomatis dari berita online dengan menggunakan metode CLSA dan cosine similarity memberikan hasil dan akurasi ringkasan yang cukup. Keywords : ringkasan, peringkas teks otomatis, crawling, CLSA, cosine similarity
Rancang Bangun Sistem Front – End Pada Sistem Convert Data Laporan Stasiun Pengamatan Meteorologi, Klimatologi, dan Geofisika di Sub Bidang Manajemen Data BBMKG Wilayah III Denpasar Dharma Wibawa, I Made Bayu; Gede Dwidasmara, Ida Bagus
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 7 No 4 (2019): JELIKU Volume 7 No 4, Mei 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2019.v07.i04.p10

Abstract

Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III merupakan Lembaga Pemerintah Non Departemen (LPND), yang dipimpin oleh Kepala Badan. Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III bertugas menaungi 43 stasiun yang tersebar di Indonesia bagian Barat yaitu Jawa Timur, dan Indonesia bagian Tengah dan Timur dalam hal penyediaan data dan informasi di bidang meteorologi, klimatologi dan geofisika. Balai ini terletak di Jalan Raya Tuban, Kuta, Kabupaten Badung, Bali. Balai ini memiliki 3 bidang salah satunya adalah Bidang Data dan Informasi. Pada bidang Data dan Informasi, salah satunya terdapat Sub Bidang Manajemen Data. Pada Sub Bidang Manajemen Data memiliki masalah terkait penginputan data laporan hasil pengamatan yang meiliki format yang berbeda – beda setiap stasiunnya yang tidak sesuai dengan Peraturan Kepala Badan Meteorologi, Klimatologi, dan Geofisika?Nomor 4 Tahun 2016?Tentang?Pengamatan dan Pengelolaan Data Iklim di Lingkungan Badan Meteorologi, Klimatologi, dan Geofisika. Dan proses penginputan tersebut masih dilakukan secara manual. Untuk itu, dibuatkanlah system yang mampu mengconvert data laporan hasil pengamatan bulanan menjadi laporan tahunan. Sistem ini diharapkan dapat membantu kinerja pegawai dalam hal melakukan input data laporan hasil pengamatan 43 stasiun yang di naungi oleh Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III. Kata kunci Sistem Convert Data, Manajemen Data
Data warehouse model for population registration in Kerambitan village Tabanan Regency Putra, Fathiyarizq Mahendra; Gede Dwidasmara, Ida Bagus
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i03.p11

Abstract

Kerambitan village is one of the 15 villages in Kerambitan sub-district, Tabanan regency, Kerambitan village has 7 service hamlets. Kerambitan village population has more than 3,338 inhabitants consisting of 1,700 men and 1,638 women with a sex ratio of 103.79. . To realize good governance, it needs to be recorded well so that the information can be utilized by related agencies which can be used for receiving assistance. During this time the process of recording population events such as recording the receipt of assistance is done manually where the information is done in tabular form so it does not clearly describe the respective information groups. Data warehouse (DW or DWH), also known as enterprise data warehouse (EDW), is a system used for reporting and analyzing data, and is considered a core component of business intelligence, The purpose of building a data warehouse is to provide a system that allows the right data to reach the right end user at the right time. Thus, the main purpose of implementing this data warehouse system is to provide relevant and timely information in an easily understood format so that service decisions to the public can be made more efficiently and effectively. the purpose of this research is to form a data warehouse model scheme of population records owned by kerambitan village government and through modeling this data warehouse also provides reliable information from a collection of data, in addition this research also retrieves some information from the data warehouse in build based on kerambitan village population records in this study I chose to use the fact constellation scheme because there are fact tables that are interconnected with dimension tables and also fact tables that are related to other fact tables. The design model of the data warehouse is designed based on 3 excel table files, each of which has 1 table from the Government of Kerambitan Villages. In this case, 3 reports are proposed to be made based on the query results from the data warehouse. Through the application of a data warehouse that was formed, the executive or government can conduct analysis of the reports generated based on various dimensions that exist.
Application of the K-Means Algorithm to Segmentation of Consumer Interest in Silver Craft "Kreasi Slaka Bali" Putri, I Gusti Ayu Widiantari; Dwidasmara, Ida Bagus Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 4 (2021): JELIKU Volume 9 No 4, Mei 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v09.i04.p12

Abstract

Kreasi Slaka Bali is a company engaged in the silver handicraft sector. Each stage of the process is still done manually, starting from material preparation, handmade work, until making the packaging for delivery. Certainly, this requires more time to be able to produce an item of the same quality in each production. The need for extra time and business in product manufacturing, the company needs a marketing strategy that can be seen from consumer interest in the product. So this research discusses consumer interest based on transaction data by forming clusters based on purchases amount with other attributes, namely the product price, product size, product weight, and level of difficulty. The data used is transaction data for 2 transactions in 2019. The algorithm used is K-Means with the Elbow Method to determine the number of clusters. There are clusters of k = 5 with the cluster that has the most data in the first cluster (k = 0) with a total purchase of 193 products with an average price of US $ 69,554688.
Design Build Finding EO as A Web-Based Marketplace Event Organizer and Venue Apps Husein, Muhammad; Gede Dwidasmara, Ida Bagus
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 4 (2020): JELIKU Volume 8 No 4, Mei 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i04.p09

Abstract

Event in Indonesia is an activity that utilizes a place or service in the implementation of these activities. Many obstacles that currently often occur when an event wants to be held either in the limited availability of information about the Event Organizer or where the event is inadequate due to limited sources. The similar information provided only display Event Organizer or Venue, but this is limited by the absence of a system that fulfills the transaction process directly. In the era of the development of science and technology as well as industry 4.0 that continues to expand, business ideas emerge that are initialized into one of the web-based marketplace application platforms that are able to promote Event Organizer and Venue also provide information and Event Organizer and Venue ordering processes for Event Users. The system, entitled Finding EO, uses the Prototyping method and its developed with PHP Programming languages.
SISTEM REKOMENDASI TEMPAT WISATA MENGGUNAKAN ALGORITMA CHEAPEST INSERTION HEURISTIC DAN NAÏVE BAYES Gede Dwidasmara, Ida Bagus; Putra, I Gusti Ngurah Agung Widiaksa; Widiartha, I Made; Santiyasa, I Wayan; Made Mahendra, Ida Bagus; Ngurah Eka Karyawati, Anak Agung Istri
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 2 (2021): JELIKU Volume 10 No 2, November 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v10.i02.p05

Abstract

Bali merupakan salah satu daerah pariwisata terbaik di Indonesia, terbukti pada tahun 2016 Bali menerima sejumlah penghargaan pada TripAdvisor Travellers Choice Award dalam lingkup global dan Asia. Namun adanya wabah virus Corona dari tahun 2019, menyebabkan sektor pariwisata di bali menjadi menurun, dengan demikian dibutuhkan solusi untuk memulihakan sektor pariwisata yang ada di bali, dimana salah satu solusinya adalah dengan mengangkat wisata budaya dengan lebih maksimal, sebagai daya tarik utama destinasi wisata di bali. Maka penulis mengajukan Sistem Rekomendasi wisata, yang bertujuan untuk merekomendasikan tempat wisata yang sesuai dengan wisatawan, yang dalam sistem rekomendasi ini direkomendasikan juga destinasi wisata budaya yang langsung direkomendasikan oleh masyarakat, dan terdapat juga pemetaan tempat wisata sebagai bagian dari sistem rekomendasi wisata, pemetaan tempat wisata umum dan tempat wisata budaya . Pada sistem rekomendasi wisata ini, menggunkaan Algoritma Naïve Bayes untuk merekomendasikan destinasi wisata umum berdasarkan motivasi personal wisatawan, yang berdasarkan atribut umur, jenis kelamin, minat alam, minat buatan, minat budaya wisatawan, dengan menggunakan 200 data training yang terdiri dari 14 class tempat wisata . Selain itu sistem rekomendasi wisata ini dilengkapi dengan rekomendasi perutean tempat wisata menggunakan Algoritma Cheapest Insertion Heuristic, untuk mengatur list rute tempat wisata Kata Kunci : Sistem Rekomendasi, Algoritma Naïve Bayes, Algoritma Cheapest Insertion Heuristi, Motivasi Personal, Pemetaan Tempat.
Co-Authors Aang Pangantyas Sampurna Agus Muliantara Anak Agung Istri Ngurah Eka Karyawati Andy Bastian Fauzi Butarbutar, Amsal Hamonangan Catur Ragil Putra Nanda Citarsa, Ida Bagus Satrya Masyana Cokorda Rai Adi Pramartha Dewi, Ayu Made Surya Indra Dewi, Ni Putu Mira Novita Dharma Wibawa, I Made Bayu Dr. Made Agung Raharja Ferry Mahayudha, I Gusti Ngurah Bagus Firmansyah, Dimas Gede Lucky Aldi Arsa Gusti Ngurah Deva Wirandana Putra I Dewa Made Bayu Atmaja Darmawan I Gede Arisudana Samanjaya I Gede Arta Wibawa I Gede Ngurah Arya Wira Putra I Gede Rizki Heriana Prayoga I Gede Santi Astawa I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Ferry Mahayudha I Kadek Gowinda I Ketut Gede Suhartana I Made Widiartha I Made Widiartha I Putu Agus Arya Wiguna I Putu Gede Hendra Suputra I Putu Ryan Paramaditya I Wayan Pande Putra Yudha I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Taria Putri Mahadewi Ida Bagus Made Mahendra Ida Bagus Made Mahendra Jhordi, Rafif Kadek Dwitya Adhi Pradyto Kameliya Putri Mahadewi, Ida Ayu Taria Putri Muhammad Husein Nanda, Catur Ragil Putra Ngurah Agus Sanjaya ER Ni Kadek Evi Dianasari Ni Luh Putu Ayu Siwastuti Cayadewi Nikola, Nanda Permana, I Gede Teguh Prashanti, Ni Putu Vidya Vira Pratama, Fahmi Ahmad Arum Prayoga, I Gede Rizki Heriana Putra, Fathiyarizq Mahendra Putra, I Gusti Ngurah Agung Widiaksa Putri, I Gusti Ayu Widiantari Raharja, Made Agung Samanjaya, I Gede Arisudana Sandi, Wijaya Kusuma Saraswati, I Gusti Agung Istri Bianca Githa Sentana, I Putu Bagus Merta Ubaidillah, Muhammad Afif Wiguna, I Putu Marcel Wira Putra, I Gede Ngurah Arya Yasa, I Ketut Gede Udha Krisna