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ALTERNATIF PENGGEROMBOLAN DATA DERET WAKTU DENGAN KONDISI TERDAPAT DATA KOSONG: Studi Kasus Penggerombolan Provinsi di Indonesia Berdasarkan Data Deret Waktu Rasio Gini tahun 2007 – 2017 Yusma Yanti; Septian Rahardiantoro
Indonesian Journal of Statistics and Applications Vol 2 No 1 (2018)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v2i1.55

Panel data describes a condition in which there are many observations with each observation observed periodically over a period of time. The observation clustering context based on this data is known as Clustering of Time Series Data. Many methods are developed based on fluctuating time series data conditions. However, missing data causes problems in this analysis. Missing data is the unavailability of data value on an observation because there is no information related to it. This study attempts to provide an alternative method of clustering observations on data with time series containing missing data by utilizing correlation matrices converted into Euclid distance matrices which are subsequently applied by the hierarchical clustering method. The simulation process was done to see the goodness of alternative method with common method used in data with 0%, 10%, 20% and 40% missing data condition. The result was obtained that the accuracy of the observation bundling on the proposed alternative method is always better than the commonly used method. Furthermore, the implementation was done on the annual gini ratio data of each province in Indonesia in 2007 to 2017 which contained missing data in North Kalimantan Province. There were 2 clusters of province with different characteristics.

Segmentation and Positioning of Lecturers in the Department of Computer Science at Pakuan University Based on Student Assessment: Segmentasi dan Positioning Dosen Jurusan Ilmu Komputer Universitas Pakuan Berdasarkan Penialian Mahasiswa Yusma Yanti; Asep Saepulrohman
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i1p92-104

Determining the segmentation and positioning of the lecturers in selecting the thesis supervisor is very important to do. It is because, with this information, the supervision process in thesis writing can run well. This study intends to analyze the segmentation and positioning of lecturers related to determine the thesis supervisor using the Clusterwise Bilinear Spatial Multidimensional Scaling Model (CBSMSM) method. The data used is survey data for fifth-semester bachelor students of the 2019/2020 academic year of the Department of Computer Science, Pakuan University. One hundred sixty-one student observations provide an assessment of 10 attributes regarding the characteristics of 32 lecturers of the department. Furthermore, the estimation of the segment coordinate parameters, lecturer coordinates, dimensions, and attributes simultaneously uses the alternating least square (ALS) algorithm. The number of segments and dimensions are selected based on the smallest sum square error (SSE) value for combining segments and other dimensions. As a result, we get four segments and four dimensions with an SSE value of 4864.003. Furthermore, the department can use this result to illustrate student assessments of their lecturers' characteristics regarding thesis supervision.

Algoritma Genetik: Alternatif Metode Penentuan Strata Optimum dalam Perancangan Survei Yusma Yanti; Septian Rahardiantoro
KOMPUTASI Vol 14, No 1 (2017): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Tujuan dari pembuatan strata ketika pengambilan contoh dalam survei adalah untuk menghasilkan penduga paremeter dengan varians kecil, sehinggapenentuan alokasi strata perlu diperoleh. Menentukanbanyaknya strata dan alokasi elemen strata dari suatu himpunan nilai respon akan menjadi fokus dari penelitian ini. Algoritma Genetik (AG) diaplikasikan untuk kasus ini dengan meminimalkan varians dalam strata pada himpunan yang tersedia, dari jumlah strata 2 sampai 6 strata. Studi empiris melalui simulasi dikembangkan dalam skema populasi yang telah diketahui banyaknya strata sebenarnya, kemudian dengan beberapa jenis banyaknya strata, AG diterapkan dalam data. Berdasarkan hasil simulasi, dapat disimpulkan bahwa AG dapat memberikan banyaknya strata yang sesuai dengan banyaknya strata sebenarnya, sehingga dapat menjadi metode alternatif yang baik untuk memilih banyaknya strata optimal dalam pengambilan contoh survei.

SISTEM PEMANTAUAN PERTUMBUHAN BATITA MENGGUNAKAN METODE FUZZY TSUKAMOTO Irma Anggraeni; Yusma Yanti
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

The growth of children under the age of three (toddlers) is one of the determinants of children's development in the future. One of the parameters of toddler growth assessment is determined by gender, age, height and weight. This research makes a system that can monitor toddler growth with web-based. The research method used is the System Life Development Cycle, which consists of planning, analysis, design, implementation and use. This system also uses the Tsukamoto fuzzy method to determine the membership set of each input variable. The gender criteria are divided into two classes, male and female, the age criteria are divided into three classes, the height criteria are three classes, and the weight criteria are divided into three classes. Based on the division of classes, the output of this study is the growth status of toddlers, namely poor growth, poor, normal and more. Based on the results of input data criteria and calculations using Tsukamoto fuzzy, the output obtained in the form of the status of the child's growth.

EKSPLORASI DAN ANALISIS REGRESI LOGISTIK TERHADAP KONDISI SUNGAI TERCEMAR LIMBAH DI DESA/KELURAHAN PROVINSI DKI JAKARTA INDONESIA Septian Rahardiantoro; Yusma Yanti
Jurnal Matematika Sains dan Teknologi Vol. 23 No. 1 (2022)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v23i1.3136.2022

Provinsi DKI Jakarta memiliki kepadatan penduduk terbesar di Indonesia yang riskan dengan permasalahan lingkungan, salah satunya di sungai-sungainya. Sekitar 52.5% desa/kelurahan yang dilalui sungai memiliki kondisi sungai tercemar limbah. Penelitian ini bertujuan untuk melakukan eksplorasi kondisi sungai tercemar limbah yang disertai dengan identifikasi faktor-faktor yang diduga memengaruhinya berdasarkan data Potensi Desa (Podes) tahun 2018 (Badan Pusat Statistik, 2018). Eksplorasi data dilakukan dengan membuat plot tebaran dan ringkasan statistik, dengan hasil yang diperoleh adalah mayoritas sumber limbah berasal dari limbah rumah tangga. Selanjutnya, analisis regresi logistik beserta metode stepwise dilakukan untuk mengidentifikasi faktor-faktor dari segi kondisi lingkungan, alih fungsi, serta kondisi sosial ekonomi desa/kelurahan yang memengaruhi kondisi sungai tercemar limbah. Hasilnya, faktor yang memengaruhi sungai tercemar limbah meliputi adanya fungsi alih sungai dan banyaknya rumah tangga miskin dengan kategori tinggi. Selain itu, faktor adanya perawatan sungai dapat digunakan sebagai indikator bahwa sungai di desa/kelurahan di DKI Jakarta tercemar limbah.

Desain Canva Sebagai Media Promosi Usaha Mikro dan Media Informasi di Desa Bantarsari Gustian Rama Putra; Arie Qurania; Yusma Yanti; Puspa Citra; Syarif Hidayatullah; Hermawan Hermawan; Victor Ilyas Sugara; Asep Saepulrohman; Agung Prajuhana Putra; Kotim Subandi; Adriana Sari Aryani; I Wayan Sriyasa
Journal of Engineering and Information Technology for Community Service Vol 1, No 3 (2023): Volume 1, Issue 3, January 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v1i3.210

Digital information media in this era has very good potential, especially in developing micro-businesses to introduce their products, besides that information media is also needed to provide education and information to socialize, this is very necessary for the government in the district to develop village results and information that can be conveyed clearly to the community. Community service carried out by the Computer Science Study Program of Pakuan University aims to provide training to village office staff and junior and senior high school students in Bantarsari Village to be able to apply Canva as a medium for promoting micro-business and related information media, socialization, disaster prevention, appeals and other notifications in Bantarsari Village

Analysis of Regency and City Pneumonia Clusters in West Java 2020 Yusma Yanti; Septian Rahardiantoro
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6412

Pneumonia is an infection of the respiratory tract caused by bacteria, viruses, or fungi. The number of pneumonia cases in West Java is relatively high, therefore, it is necessary to identify some group of regencies/cities in which have a common characteristic, to make it easier to handle. The data used is data on the number of pneumonia cases in 27 regencies/cities in West Java in 2020. In this study, chi-squared test was applied to determine the characteristics of pneumonia spread in West Java. Then, a regression-based analysis by using the Irregular Graph Fused LASSO method was used to provide the cluster of regencies/cities, by considering the adjacent locations of regencies/cities as a penalty matrix. The results obtained that the cases spread unevenly. The number of cases for every 1000 people in each regency/city was relatively high in the eastern part of West Java. There were 6 clusters obtained from 27 regencies/cities, with Pangandaran regency as the location with the highest cases occurred. Depok City and Bekasi City were locations with the lowest number of cases even though they have relatively high population numbers.

Analysis of Regency and City Pneumonia Clusters in West Java 2020 Yusma Yanti; Septian Rahardiantoro
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6412

Pneumonia is an infection of the respiratory tract caused by bacteria, viruses, or fungi. The number of pneumonia cases in West Java is relatively high, therefore, it is necessary to identify some group of regencies/cities in which have a common characteristic, to make it easier to handle. The data used is data on the number of pneumonia cases in 27 regencies/cities in West Java in 2020. In this study, chi-squared test was applied to determine the characteristics of pneumonia spread in West Java. Then, a regression-based analysis by using the Irregular Graph Fused LASSO method was used to provide the cluster of regencies/cities, by considering the adjacent locations of regencies/cities as a penalty matrix. The results obtained that the cases spread unevenly. The number of cases for every 1000 people in each regency/city was relatively high in the eastern part of West Java. There were 6 clusters obtained from 27 regencies/cities, with Pangandaran regency as the location with the highest cases occurred. Depok City and Bekasi City were locations with the lowest number of cases even though they have relatively high population numbers.

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