Article Per Year (5 Year)
p-Index From 2020 - 2025
4.269
P-Index
This Author published in this journals
All Journal Jurnal Matematika Jurnal Ilmu Komputer Buletin Udayana Mengabdi E-Jurnal Matematika AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah International Journal of Applied Mathematics and Computing.
LUH PUTU IDA HARINI
Program Studi Matematika, FMIPA, Universitas Udayana
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

Published : 68 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 68 Documents
Search

 3   4   5   6   7 
PENYELESAIAN MULTI TRAVELING SALESMAN PROBLEM DENGAN ALGORITMA GENETIKA NI KADEK MAYULIANA; EKA N. KENCANA; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 6 No 1 (2017)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2017.v06.i01.p141

Abstract

Genetic algorithm is a part of heuristic algorithm which can be applied to solve various computational problems. This work is directed to study the performance of the genetic algorithm (GA) to solve Multi Traveling Salesmen Problem (multi-TSP). GA is simulated to determine the shortest route for 5 to 10 salesmen who travelled 10 to 30 cities. The performance of this algorithm is studied based on the minimum distance and the processing time required for 10 repetitions for each of cities-salesmen combination. The result showed that the minimum distance and the processing time of the GA increase consistently whenever the number of cities to visit increase. In addition, different number of sales who visited certain number of cities proved significantly affect the running time of GA, but did not prove significantly affect the minimum distance.
ANALISIS PENJADWALAN PRODUKSI MENGGUNAKAN METODE CAMPBELL DUDEK SMITH DAN DANNENBRING DALAM MEMINIMUMKAN TOTAL WAKTU PRODUKSI BERAS NI KADEK DESI PUJA ANTARI; LUH PUTU IDA HARINI; NI KETUT TARI TASTRAWATI
E-Jurnal Matematika Vol 10 No 4 (2021)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2021.v10.i04.p345

Abstract

The increasing needs for basic materials has resulted in an increased production process of basic materials in a company. CV. Puspa is a manufacturing company engaged in the production of rice, on the production process, CV. Puspa often has a buildup of work so that it requires an alternative production scheduling optimally. This research was conducted to minimize the total time of completion using the Campbell Dudek Smith and Dannenbring method in determining efficient production scheduling. Based on the scheduling sequence obtained, the calculation results of the total completion time using the Campbell Dudek Smith method are less than or equal to the results of calculation using the Dannenbring method. So the Campbell Dudek Smith method is more efficient than the Dannenbring method to be applied to CV. Puspa.
MENENTUKAN PORTOFOLIO OPTIMAL PADA PASAR SAHAM YANG BERGERAK DENGAN MODEL GERAK BROWN GEOMETRI MULTIDIMENSI RISKA YUNITA; KOMANG DHARMAWAN; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p100

Abstract

Model of stock price movements that follow stochastic process can be formulated in Stochastic Diferential Equation (SDE). The exact solution of SDE model is called Geometric Brownian Motion (GBM) model. Determination the optimal portfolio of three asset that follows Multidimensional GBM model is to be carried out in this research.Multidimensional GBM model represents stock price in the future is affected by three parameter, there are expectation of stock return, risk stock, and correlation between stock return. Therefore, theory of portfolio Markowitz is used on formation of optimal portfolio. Portfolio Markowitz formulates three of same parameter that is calculated on Multidimensional GBM model. The result of this research are optimal portfolio reaches with the proportion of fund are 39,38% for stock BBCA, 59,82% for stock ICBP, and 0,80% for stock INTP. This proportion of fund represents value of parameters that is calculated on modelling stock price.
PREDIKSI INFLOW DAN OUTFLOW UANG KARTAL DI PROVINSI BALI DENGAN METODE NEURO-FUZZY I KADEK MENTIK YUSMANTARA; G.K. GANDHIADI; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 10 No 3 (2021)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2021.v10.i03.p336

Abstract

In this paper, we present a novel approach to data-driven neuro-fuzzy modeling, which aims to create accurate monthly inflow and outflow forecast of money (M0) in Bali Province. The data is monthly time series included some religious ceremony identification variables and a monthly dummy variable from January 2011 to March 2019. Well known, Bali Province has unique cultures, the only one province which Hinduism majority religion in Indonesia, and listed as top tourism destination in the world. The neuro-fuzzy models were created using ANFIS architecture and sliding window time series analysis, then simulated using walk forward validation, interpreted using MAPE, and NRMSE. Based on the simulation of the last 24 months, the model of inflow obtained MAPE 23.33% (worth considering) and NRMSE 18.68% (accurate). Meanwhile, the model of outflow obtained MAPE 19.24% (accurate) and NRMSE 8.71% (very accurate). These models and their pieces of information could assist the central bank in Bali Province to prepare cash for money (M0) outflow and managed technic for counting money (M0) inflow.
KAJIAN DERET FIBONACCI DAN GOLDEN RATIO DALAM PENCIPTAAN LAGU Putu Harry Mahardika; Luh Putu Ida Harini; I Putu Eka Nila Kencana
AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Vol 2, No 1: Juni 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/admathedu.v2i1.4848

Abstract

Efektivitas Penggunaan Lembar Kerja Mahasiswa dalam Meningkatkan Pemahaman dan Penalaran Matematis Luh Putu Ida Harini; I Gede Santi Astawa
AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Vol 3, No 1: Juni 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/admathedu.v3i1.4832

Abstract

Penerapan e-Commerce Berbasis Desa Adat Di Desa Baler Bale Agung Kabupaten Negara Bali I Gede Santi Astawa; Ngurah Agus Sanjaya ER; Luh Putu Ida Harini
Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Vol. 1 No. 1 (2021): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.757 KB)

Abstract

Teknologi Internet sangat bermanfaat dalam kehidupan sosial masyarakat, teknologi ini mendorong pertumbuhan konsep penyimpanan data dalam skala besar (big data) dan media penyimpanan data terintegrasi (data center) yang dapat diakses dari jarak jauh. Pemanfaatan teknologi internet dalam membantu unit-unit produksi di desa adalah sebuah upaya yang sangat penting untuk menunjang tumbuh kembang UMKM di era teknologi 4.0. Apalagi Bali dikenal dengan ketaatan masyarakat terhadap adat, tentu akan sangat baik apabila pemerintahan adat dapat menjadi poros dalam menggerakkan ekonomi desa melalui berbasis teknologi internet. Hal ini yang mendorong tim pengabdi untuk membuat sebuah model pemasaran e-commerce berbasis mobile yang diberi nama aplikasi SukmaBali. Ujicoba penerapan aplikasi ini dilakukan serangkaian kegiatan pengabdian masyarakat di desa Baler Bale Agung, Kabupaten Negara, Bali. Dari pelaksanaan ujicoba selama tiga bulan didapatkan kesimpulan bahwa masyarakat desa Baler Bale Agung sudah dapat memahami tatacara penggunaan aplikasi dan serasa kegiatan ini sangat bermanfaat untuk menambah metode penjualan produk-produk mereka secara online.
ESTIMASI VALUE AT RISK PORTOFOLIO MENGGUNAKAN METODE QUASI MONTE CARLO DENGAN PEMBANGKIT BILANGAN ACAK HALTON PUTU SAVITRI DEVI; KOMANG DHARMAWAN; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 11 No 2 (2022)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2022.v11.i02.p371

Abstract

Estimating the value at risk (VaR) is an important aspect of investment. VaR is a standard method of measuring risk defined as the maximum loss over a certain period of time at a certain level of confidence. The purpose of this study is to estimate the risk of a portfolio represented as a VaR where the volatilities were simulated by th the Monte Carlo and Quasi Monte Carlo methods. The Monte Carlo method involves generating random numbers and the Quasi Monte Carlo method uses Halton's quasi-random sequences. This study uses secondary data, namely daily stock price closing data. Based on the calculation, the VaR of the Quasi Monte Carlo Portfolio produces a maximum loss greater than that of the Monte Carlo Portfolio. This is due to randomization performed with different random number generators for each method and the number of simulations performed. It can be concluded that the Quasi Monte Carlo method is a better method than the Monte Carlo method in estimating the risk of portfolio losses in stocks in the telecommunications sector.
p Penerapan Sistem Pembelajaran Berbasis Peta Pikir Luh Putu Ida Harini
Jurnal Ilmu Komputer Vol 15 No 2 (2022): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

The development of online learning systems is very rapid in the last ten years, various educational institutions have begun to use online learning systems to support the teaching and learning process. Along with this, students have become very fluent in using online learning systems, so this system can be an excellent choice for the learning process in the future. However, it will be very good when the learning system improves its capabilities, especially in helping teachers monitor the learning process carried out by students. In this study, a student function model was applied which is expected to be able to provide information to teachers about the character of their students in using the online learning system. This paper will discuss the assessment of the system designed, from a small-scale test of 5 teachers and 15 students, it was found that their opinion on the satisfaction of using the system reached 87%.
IMPLEMENTASI FUZZY C-MEAN DAN ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK CLUSTERING KABUPATEN/KOTA DI INDONESIA BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA I KADEK SONA DWIGUNA; G.K. GANDHIADI; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 11 No 3 (2022)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2022.v11.i03.p380

Abstract

This research is aimed to determine conduct clustering in accordance with the conditions of districts / cities throughout Indonesia based on the IPM indicator and to determine the performance comparison of Fuzzy C-Means using particle swarm optimization compared to ordinary fuzzy c mean. The study uses 514 district / city data in Indonesia based on four IPM indicators. The research show 4 clusters that describe the condition of the Indonesian region and based on the results of cluster validation shows that there are differences in the ordinary Fuzzy C-Means mean algorithm and Fuzzy C-Means using particle swarm optimization.
Co-Authors AA Sudharmawan, AA ANGGIE EZRA JULIANDA HUTAPEA COKORDA BAGUS YUDISTIRA DESAK PUTU DEVI DAMIYANTI Desak Putu Eka Nilakusmawati EKA N. KENCANA Eka N. Kencana FEBBY VERENNIKA FITRI ANANDA DITA SARASWITA G. K. GANDHIADI GEDE AGUS HENDRA YOGANGGA Gusti Ayu Rica Ananda* I GEDE ARI SUDANA I GEDE ARYA DUTA PRATAMA I GEDE DICKY ARYA BRAMANTA I GEDE HARDI KARMANA I Gede Santi Astawa I GN Lanang Wijayakususma I GUSTI PUTU NGURAH MAHAYOGA I KADEK MENTIK YUSMANTARA I KADEK SONA DWIGUNA I KETUT RESTU WIRANATA I MADE DWI UDAYANA PUTRA I NYOMAN DICKY WIJAYA I Nyoman Widana I PUTU AGUS DARMAWAN DARMA YADNYA I PUTU ARYA YOGA SUMADI I Putu Eka Nila Kencana I PUTU YUDI PRABHADIKA I Wayan Sumarjaya I WAYAN YOGA ASTAWA IDA AYU EGA RAHAYUNI Ida Ayu Putu Ari Utari ISTIQOMAH ISTIQOMAH Jocelynne, Charlotte KADEK INTAN SARI Kartika Sari Ketut Jayanegara Komang Dharmawan KOMANG WAHYUDI SUARDIKA LIA APRIYANI MADE ADI GUNAWAN MADE ASIH Made Susilawati Mahardika, Putu Harry MOH. HERI SETIAWAN NABILA NUR JANNAH Ngurah Agus Sanjaya ER NI KADEK DESI PUJA ANTARI Ni Kadek Emik Sapitri NI KADEK MAYULIANA Ni Ketut Tari Tastrawati NI KOMANG AYU SEDANA DEWI NI LUH GEDE SHINDYA ARMITA NI LUH PUTU RATNA DEWI Ni Luh Putu Suciptawati PANDE GDE DONY GUMILAR PRADITA Z. TRIWULANDARI Putri Cahyaning Putu Harry Mahardika Putu Harry Mahardika PUTU IKA OKTIYARI LAKSMI PUTU SAVITRI DEVI RISKA YUNITA SANI SAEFULOH SARAH VERONICA HUTABALIAN SAYID QOSIM Surma, Odilia Gratiaplena Susanti Marito Barus TIRA CATUR ROSALIA Tjokorda Bagus Oka TRI YANA BHUANA VALERIA TRISNA YUNITA WAYAN ARTHINI Wijayakusuma, I Gusti Ngurah Lanang