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All Journal Natural Science: Journal of Science and Technology Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Bulletin of Electrical Engineering and Informatics BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Aplikasi Statistika & Komputasi Statistik SANITAS: Jurnal Teknologi dan Seni Kesehatan Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of System and Computer Engineering Parameter: Journal of Statistics Asian Journal of Philosophy and Religion Jurnal Sintak STATISTIKA Journal of Waqf and Islamic Economic Philanthropy Journal of Regional Economics and Development Tadulako Science and Technology Journal Tadulako Social Science and Humaniora Journal
Lilies Handayani
Universitas Tadulako
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation

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PENERAPAN ANALISIS MULTIDIMENSIONAL SCALING (MDS) PADA PEMETAAN KABUPATEN/KOTA DI PROVINSI SULAWESI TENGAH BERDASARKAN INDIKATOR TENAGA KESEHATAN Islami, Mira Bela; Rais, Rais; Handayani, Lilies
Natural Science: Journal of Science and Technology Vol 8, No 2 (2019): Volume 8 Number 2 (August 2019)
Publisher : Univ. Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (972.43 KB)

Abstract

Health workers is any person who dedicates theirself in the health sector and have knowledge, skills and authority to make health efforts. The lack number of health workers or the univen distribution of health workers is a problem that often occurs in each region. This research will use the method  of multidimensional scaling in mapping districts / cities in Central Sulawesi Province based on indicators of health workers. The results obtained are formed in to 4 groups of districts/cities that have similarities among its members but different from other groups. In the group 1 is Palu, Group 2 contained Parigi Moutong districts. In the group 3 consists of Banggai, Poso, Sigi and Toli-Toli Districts. In the group 4 consist of Tojo Una-una, Morowali, Donggala, Morowali Utara, Banggai Laut, Buol, and Banggai Islands. Stress value obtained is 4.354% and the value of R^2 is 99.568%, which indicates that the data used can be mapped properly.
METODE DEKOMPOSISI MULTIPLIKATIF RATA-RATA BERGERAK UNTUK PERAMALAN TINGKAT PRODUKSI PADI LADANG SULAWESI TENGAH Kadoena, Faldi Christiawan; Rais, Rais; Handayani, Lilies
Natural Science: Journal of Science and Technology Vol 8, No 2 (2019): Volume 8 Number 2 (August 2019)
Publisher : Univ. Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.884 KB)

Abstract

Field rice is a rice plants that is planted in a sedentary or shifting location. This study aims to forecast field rice production using the Multiplicative Decomposition method of moving average, and to determine the size of forecasting accuracy using Tracking signal, data used is the data from Central Sulawesi Province Field rice production in 2008-2016 obtained from the Agriculture Service of Central Sulawesi Province The research procedure is begun by analyzing the components of decomposition, namely the components of trend (T), seasonal (S), cyclic (C) and random components (I) then multiplies the value of these components. Forecasting results using the decomposition method helping by the Minitab 18 application in 2017 show that the pattern of the data contains a declining trend with the equation Yt = 1895.60 - 7.97 × t, and has a strong seasonal pattern with the expected pattern of data that increases or decreases in certain months such as March, April, August and December. The forecasting results obtained are at the control limit of Tracking signal which is between -4 to +4 that means the forecasting of rice production in the province of Central Sulawesi in 2017 using the moving average Multiplicative Decomposition method is valid
ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL NORMAL DAN FUNGSI KERNEL KUADRATIK Saskia Amalia Putri; Ayudita Rahmi Aristya; Nur Azizah Janad; Yudy Novindri Tadale; Lilies Handayani
Journal of System and Computer Engineering (JSCE) Vol 3 No 1 (2022): JSCE: JANUARI 2022
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v2i2.353

Abstract

The Human Development Index (HDI) is a comparative measurement of life expectancy, literacy, education and living standards for all countries around the world. The human development index is used to classify whether a country is a developed country, a developing country or a backward country and also to measure the effect of economic policies on the quality of life. The purpose of this study is to find out how the percentage of poor people and the unemployment rate are related to the human development index in Central Sulawesi. In this study, the Nadaraya-Watson kernel regression method was used with a regression comparison between normal kernel functions and quadratic kernel functions. Based on the results of the study, the best model on X1 (percentage of poor people) with the smallest MSE value is the CV.LS method with a bandwidth value of 1.369349, and for the best model on X2 (open unemployment rate) with the smallest MSE value, namely the CV.AIC method. with a bandwidth value of 1.331878.
Metode Ensemble K-Nearest Neighbor untuk Prediksi Indeks Harga Saham Gabungan (IHSG) di Indonesia Moh. Jusman; Nur’eni Nur’eni; Lilies Handayani
Jurnal Matematika, Statistika dan Komputasi Vol. 18 No. 3 (2022): MAY, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v18i3.19641

Abstract

The Composite Stock Price Index (CSPI) is a guide for investors to see the movement of stock prices as a whole from time to time. These movements always change from time to time, so it is necessary to use analytical methods to make predictions. The method that can be used to examine this is the K-Nearest Neighbor method. The combination of the results of several K-NN predictions is an effective way to get one final prediction result, namely the method ensemble K-NN. The response variable used in this study is the Composite Stock Price Index (CSPI), while the predictor variables are the gold price, the rupiah exchange rate against the dollar, and the Dow Jones Industrial Average (DJIA) index. The data used are 52 periods. The data used for training are 39 periods and the data used for testing is 13 periods. The prediction results from the ensemble have better results than the K-NN. The prediction results from the ensemble have better results than the single K-NN. The prediction results from the method are ensemble K-NN average of 6078, 634 with a MAPE value of 7,16% including high accuracy
ANALISIS DISKRIMINAN LINEAR ROBUST PADA BERAT BAYI LAHIR DI RSUD LUWUK Nur'eni Nur'eni; Surni’a Surni’a; Lilies Handayani
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 19, No 1 (2019)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v19i1.4759

Abstract

Analisis diskriminan linear robust digunakan untuk mengklasifikasikan suatu pengamatan apabila dalam pengamatan tersebut terdapat pencilan. Pencilan akan menyebabkan matriks varians kovarians menjadi tidak robust. Minimum Covariance Determinant (MCD) digunakan untuk menduga sebagian pengamatan dengan meminimumkan determinan matriks kovariansi. Berat bayi lahir menurut WHO (1961) terbagi menjadi dua kategori yaitu berat bayi lahir rendah (BBL  2500 gram) dan berat bayi lahir normal (BBL > 2500 gram). Hasil dari klasifikasi berat bayi lahir di RSUD Luwuk Kabupaten Banggai dengan menggunakan metode analisis diskriminan linear robust diperoleh tingkat akurasi sebesar 81%.
Regresi Probit untuk Analisis Variabel-Variabel yang Mempengaruhi Perceraian di Sulawesi Tengah Nur'eni Nur'eni; Lilies Handayani
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 12 No 1 (2020): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v12i1.211

Abstract

Sulawesi Tengah adalah salah satu Provinsi di Indonesia yang memiliki permasalahan dalam perceraian. Tingkat perceraian di Sulawesi Tengah pada tahun 2016 sebesar 2,44%. Persentase tingkat perceraian di Sulawesi Tengah ini menjadi tingkat perceraian ketiga tertinggi di Indonesia. Pada penelitian ini diteliti faktor-faktor yang mempengaruhi kasus perceraian di Sulawesi Tengah. Metode yang digunakan adalah regresi probit biner dengan variabel respon adalah status perkawinan. Hasil penelitian menunjukkan bahwa variabel prediktor yang mempengaruhi perceraian secara signifikan di Provinsi Sulawesi Tengah adalah umur kawin pertama (X2) kategori 1 (18-21 tahun) dan kategori 2 ( >21 tahun), tingkat pendidikan (X3) kategori 1 (SD) dan kategori 4 (di atas SMA), daerah tempat tinggal (X4) kategori 1 (kota) dan jumlah pengeluaran rumah tangga (X6) dengan tingkat ketepatan klasifikasi model sebesar 99,2%.
Penggerombolan Desa di Kabupaten Poso Berdasarkan Sarana Prasarana dan Tenaga Kesehatan Menggunakan Metode K-Prototype dengan Algoritma Genetika Septyani Kawuwung; Nur'eni; Lilies Handayani
Statistika Vol. 22 No. 1 (2022): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v22i1.469

Abstract

ABSTRAK Analisis gerombol merupakan salah satu teknik untuk mengelompokkan sekumpulan objek yang mirip dengan properti yang sama menjadi satu kelompok sehingga tidak mirip dengan objek di kelompok lainnya. Analisis gerombol umumnya diterapkan pada objek dengan tipe data numerik. Namun pada kenyataannya clustering juga menggunakan tipe data kategorikal. Penanganan clustering dengan data tipe campuran dapat dilakukan dengan menerapkan algoritma k-prototype, namun penentuan inisialisasi pusat cluster cenderung sensitif. Untuk menangani penentuan inisialisasi pusat cluster, dapat diterapkan suatu algoritma yaitu algoritma genetika. Penelitian ini membahas tentang sarana dan prasarana serta tenaga kesehatan di Kabupaten Poso dimana sarana prasarana dan tenaga hukum di kabupaten tersebut sudah memadai namun distribusinya tidak merata di beberapa daerah. Hasil penelitian ini menunjukkan bahwa pada algoritma k-prototype terdapat 8 cluster dengan pusat cluster yang dioptimasi menggunakan algoritma genetika yaitu 36, 7, 99, 49, 69, 104, 105, 110. ABSTRACT Cluster analysis is a technique for grouping a set of similar objects into one group so that they are not similar to objects in other groups. Cluster analysis is generally applied to objects with numeric data type. But in reality clustering also uses categorical data types. Clustering handling with mixed-type data can be done by applying the k-prototype algorithm, but the determination of cluster center initialization tends to be sensitive. To handle the determination of the initialization of the cluster center, can be applied an algorithm that is genetic algorithm. This study discusses the facilities and infrastructure and health workers in Poso Regency where the infrastructure and legal personnel in the district are adequate but the distribution is not evenly distributed in several areas. The results of this study indicate that in the k-prototype algorithm there are 8 clusters with cluster centers optimized using the genetic algorithm, namely 36, 7, 99, 49, 69, 104, 105, 110.
Linear Trend Regression Analysis On Gold Forecasting For Investment In Indonesia During The Covid-19 Pandemic Nursyahraini Husen; Rais; Lilies Handayani
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.15999

Abstract

Linear trend regression is also known as straight line trend, is a form of linear trend, that is trend whose variable X is (Time Period) highest rank one. The purpose of this study is to look at the model and predict the amount of gold prices during the COVID-19 pandemic in Indonesia using the linear trend regression method. The results obtained for the model of the total price of gold during the COVID-19 pandemic in Indonesia are Y = 623584.1 + 6129.1X + . As for forecasting the amount of gold prices for investment during the COVID-19 pandemic in Indonesia for the next 6 months using the linear trend regression method, it increases every month, it can be concluded that gold is suitable for investment because the price tends to rise, especially during the Covid-19 pandemic in Indonesia.
Creative Hub as a Creative Space for Young People of Palu City With Plowright Pattern-Based Design Method Andi Faidilah; Fuad Zubaidi; Lilies Handayani
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16339

Abstract

This res earch is motivated by the increas e in the creative indus try s ector in Palu City, es pecially in the craft, film and performing arts s ubs ectors and als o the adjus tment of s pace for the public in the new normal era so that the urgency of the need for s paces that can facilitate creative activities , es pecially during this pandemic, needs to be provided, es pecially in the Palu City area s o that the title rais ed in the form of "Creative Hub as a Space for Youth Creativity in Palu City" can be a forum for utilizing exis ting potential. The des ign of the Creative Hub of Palu City is intended to provide good interaction for the s urrounding environment and can als o be a des ign s olution in the new normal era and in accordance with the context of the city of Palu for the completion of the des ign of the Creative Hub of Palu City us ing the de s ign method of Plowright Pattern bas ed des ign where the key operation of patterns / s hapes in architecture as s tructuring, organization and pattern compos ition games . The des ign of the Creative Hub of Palu City is expected to be a place that can s upport th e creativity and productivity of creative indus try players and als o the general public and can be a planning s olution for the Covid -19 pandemic-friendly des ign principles .
The Impact of Online Sales on The Sustainability of Conventional Traders in Sekupang District, Batam City Harahap, Diana Sari; Betricia , Jesicca; Rahayu , Sri; Jonathan, Steven; Sihombing, Urianto; Handayani, Vitri Aprilla; Handayani, Lilies
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.243

Abstract

Pedagang konvensional adalah individu atau kelompok yang sedang berada di suatu lokasi terbuka terjadi kegiatan transaksi jual beli dengan memungkinkan proses tawar-menawar. Dengan zaman yang semakin modern keberlanjutan pedagang konvensional dapat dipengaruhi dengan adanya penjualan online. Oleh karena itu penulis tertarik untuk melakukan penelitian untuk mengetahui seberapa besar pengaruh adanya penjualan online terhadap keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik pengambilan data yaitu data primer melalui kuisioner. Metode analisa data dilakukan dengan menggunakan uji statistik regresi linear sederhana. Berdasarkan analisis data yang telah dilakukan diketahui adanya penjualan online mempengaruhi keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam.
Co-Authors Adawiyah, Laila Amelia, Rezi Andi Faidilah Anisa Anggraeni, Anisa Aryandi Audina Dariah, Priliany Ayudita Rahmi Aristya Baharuddin Baharuddin Baso Akib Betricia , Jesicca Dwi Kartini, Dwi Fatma Indriani Favorisen R. Lumbanraja Fuad Zubaidi Handayani, Vitri Aprilla Harahap, Diana Sari Hartas Hasbi Herteno, Rudy Ihlasia, Nurmasyita Irwan Budiman Islami, Mira Bela Jassinca Chrissma Audina Jonathan, Steven Kadoena, Faldi Christiawan Lunardi, Louis Madinawati Mangitung, Septina F. Moh. Jusman Mohammad Fajri Muhammad Akriyaldi Masdin Muhammad Reza Faisal, Muhammad Reza Nahrul Hayati Nur Azizah Janad Nur Cahyani Nur Fadillah, Nur Nur Sakinah Nur'eni Nur, Apriyansyah Nureni, Nureni Nurfitra Nurhazanah, Andi Cahyatri Nursyahraini Husen Nur’eni Nur’eni Putera, Fachruddin Hari Anggara Rachman, Rohis Rahayu , Sri Rais Rais Rais Rauf, Wahidah Risnawati Risnawati Sagap, Marni Salmia Saragih, Triando Hamonangan Saskia Amalia Putri septyani kawuwung Sihombing, Urianto Siti Aisyah Solechah Suriani Jihad Surni’a Surni’a Wahyuni, Selvia Anggun Yudy Novindri Tadale