Article Per Year (5 Year)
p-Index From 2019 - 2024
4.753
P-Index
This Author published in this journals
All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Kreativitas PKM METIK JURNAL Variance : Journal of Statistics and Its Applications JAMBURA JOURNAL OF PROBABILITY AND STATISTICS VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Statistika dan Komputasi (STATKOM) Eksponensial STATISTIKA
Ika Purnamasari
Laboratorium Statistika Ekonomi Dan Bisnis FMIPA Universitas Mulawarman
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 47 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 47 Documents
Search

 1   2   3   4   5 
Pelatihan Penulisan Karya Tulis Ilmiah Untuk Mendorong Peningkatan Kualitas Siswa Tingkat SMA Ika Purnamasari; Memi Nor Hayati; Desi Yuniarti
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2020): Agustus
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v4i2.3565

Abstract

Karya tulis ilmiah (KTI) merupakan karya ilmiah yang ditulis dengan mengikuti kaidah ilmiah. Kaidah ilmiah sebagai syarat utama dalam penulisan sebuah karya dimaksudkan agar karya yang dihasilkan dapat dipertanggung jawabkan secara ilmiah. Tujuan kegiatan pelatihan penulisan karya tulis ilmiah yaitu menumbuhkan minat, semangat, serta ide kreatif dan inovatif dari siswa-siswi kelas X dan XI SMAN 5 Samarinda untuk menghasilkan sebuah karya ilmiah yang sesuai dengan kaidah penulisan. Berdasarkan hasil pelaksanaan kegiatan pelatihan dapat disimpulkan bahwa kegiatan berjalan dengan baik dan mendapat dukungan penuh dari pihak sekolah. Seluruh peserta pelatihan mengikuti kegiatan hingga akhir dengan tingkat kehadiran sebesar 100%. Peserta kegiatan antusias untuk bertanya, mengeksplorasi ide, serta mengemukakan pendapat. Dengan demikian, kedepannya diharapkan adanya kegiatan lanjutan dengan melibatkan guru pendamping untuk mengoptimalkan perannya dalam penyusunan karya tulis ilmiah bagi peserta didik.Kata Kunci: kaidah ilmiah; KTI; peserta didik. Training on Writing Scientific Papers to Encourage Quality Improvement of High School Level Students ABSTRACT The scientific paper is an essay written by following scientific rules that are the main requirement so that the resulting essay can be justified scientifically. The purpose of the training is to increase the interest, enthusiasm, creative, and innovative ideas from students of class X and XI of SMAN 5 Samarinda to create a scientific paper that is following the rules. Based on the implementation of the training, it can be concluded that it is run well and received support from the school. All participants follow this activity until the end with an attendance rate of 100%. They are enthusiastic to ask, explore, and express their ideas and opinions. Then, in the future, it is expected that there will be further activities involving the teachers to optimization the role of assistants to create their student’s scientific papers.Keywords: scientific paper; scientific rules; students.
Metode Quick Count dan Analisis Autokorelasi Spasial Menggunakan Indeks Moran (Studi Kasus: Pemilihan Presiden Indonesia Tahun 2019 di Kalimantan Timur) Riska Veronika; Memi Nor Hayati; Ika Purnamasari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 2 (2020): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.8.2.2020.121-126

Abstract

Quick count is a quick caculation method based on sampling that is used to show the results of the temporary vote before the official election results are published. Votes can be influenced by party bases in various regions, so the linkage of the results of vote acquisition between regions needs to be taken into account. Spatial autocorrelation is the correlation between variables and themselves based on space or region. This research has a goal to determine the difference between the results of the estimated vote acquisition using the quick count method with the results of the KPU vote and spatial autocorrelation using the Moran index to determine whether or not there is a spatial autocorrelation of the results of the vote acquisition in the presidential election. The data used is the vote acquisition data of each pair of presidential candidates in the 2019 Indonesian presidential election in East Kalimantan Province using stratified random sampling. The results of the difference between the estimated votes obtained by the quick count method and the KPU calculation is relatively small at 0.01% and from the results of the spatial autocorrelation test hypothesis it is known that there is no spatial autocorrelation of the results of the vote acquisition for each pair of Indonesian presidential candidates in 10 districts/cities in East Kalimantan in 2019. 
Pemodelan Persentase Penduduk Miskin di Provinsi Kalimantan Timur Menggunakan Model Geographically Weighted Panel Regression Arjun Pratama; Suyitno Suyitno; Ika Purnamasari
Jurnal MSA ( Matematika dan Statistika serta Aplikasinya) Vol 9 No 2 (2021): VOLUME 9 NOMOR 2 TAHUN 2021
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v9i2.21021

Abstract

Model Geographically Weighted Panel Regression (GWPR) merupakan pengembangan model regresi panel yang diaplikasikan pada data spasial. Model GWPR yang dibahas pada penelitian ini adalah Fixed Effect Model (FEM) spasial. Penaksiran parameter model GWPR dilakukan pada setiap lokasi pengamatan menggunakan pembobot spasial. Tujuan penelitian ini adalah mengetahui faktor-faktor yang mempengaruhi persentase penduduk miskin tahun 2017-2019 di 10 Kabupaten/Kota Provinsi Kalimantan Timur. Penaksiran parameter model GWPR menggunakan metode Weighted Least Square (WLS). Pembobot spasial pada penaksiran parameter ditentukan menggunakan fungsi pembobot terbaik di antara pembobot fixed gaussian, fixed bisquare, fixed tricube, dan adaptive bisquare. Penentuan bandwidth optimum menggunakan kriteria Cross Validation (CV) dan diperoleh fungsi pembobot dengan nilai CV minimum adalah adaptive bisquare. Berdasarkan hasil pengujian parameter model GWPR, disimpulkan bahwa faktor-faktor yang berpengaruh terhadap persentase penduduk miskin bersifat lokal dan berbeda-beda di 10 Kabupaten/Kota di Provinsi Kalimantan Timur. Faktor-faktor yang berpengaruh dan bersifat lokal terhadap persentase penduduk miskin adalah indeks pembangunan manusia, umur harapan hidup, pendapatan domestik regional bruto, tingkat partisipasi angkatan kerja, tingkat pengangguran terbuka, dan laju pertumbuhan penduduk. Berdasarkan nilai koefisien determinasi dan Root Mean Square Error (RMSE) diperoleh bahwa model GWPR lebih baik daripada model regresi panel global dengan nilai koefisien determinasi sebesar 94,40% dan nilai RMSE sebesar 0,0451. Kata Kunci : Adaptive Bisquare, CV, GWPR, Persentase Penduduk Miskin, RMSE
KLASIFIKASI STATUS PEMBAYARAN PREMI MENGGUNAKAN ALGORITMA NEIGHBOR WEIGHTED K-NEAREST NEIGHBOR (NWKNN) (STUDI KASUS: PT. BUMIPUTERA KOTA SAMARINDA) Grassella Gunsyang; Ika Purnamasari; Fidia Deny Tisna Amijaya
VARIANCE: Journal of Statistics and Its Applications Vol 1 No 2 (2019): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol1iss2page56-63

Abstract

Algoritma Neighbor Weighted K-Nearest Neighbor (NWKNN) merupakan pengembangan dari algoritma K-Nearest Neighbor (KNN), dengan memberikan bobot pada setiap kelas yang akan diklasifikasikan. Penelitian ini membahas tentang klasifikasi menggunakan algoritma NWKNN yang diaplikasikan pada data status pembayaran premi. Tujuannya untuk mengetahui nilai eksponen (E) dan nilai ketetanggaan (K) yang optimal, serta nilai akurasi dari klasifikasi data status pembayaran Premi di PT. Bumiputera Kota Samarinda. Tahapan dalam penelitian ini yaitu menentukan nilai E dan nilai K menggunakan k-fold cross validation, menghitung jarak euclidean, menghitung bobot dan skor setiap kelas, melihat nilai skor terbesar untuk menentukan hasil klasifikasi, kemudian menghitung nilai akurasi klasifikasi. Hasil penelitian menunjukkan bahwa nilai K dan nilai E yang optimal untuk klasifikasi status pembayaran premi di PT. Bumiputera Kota Samarinda menggunakan NWKNN sebesar K=3 dan E=6 dengan nilai akurasi sebesar 75%.
PENERAPAN DIAGRAM KONTROL G PADA PENGENDALIAN KECACATAN PRODUK KAYU LAPIS DI PT. SEGARA TIMBER MANGKUJENANG SAMARINDA TAHUN 2019 Nur Eka Fitria; Ika Purnamasari; Sri Wahyuningsih
VARIANCE: Journal of Statistics and Its Applications Vol 3 No 1 (2021): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol3iss1page15-27

Abstract

Diagram kontrol merupakan salah satu metode statistika yang dapat digunakan dalam pengendalian kualitas suatu produk. Diagram kontrol berdasarkan distribusi geometrik adalah diagram kontrol G. Diagram kontrol G merupakan diagram kontrol untuk memonitoring total banyaknya kejadian. Diagram kontrol G dapat digunakan untuk pengendalian kualitas produk kayu lapis. Salah satu perusahaan yang bergerak dibidang industri kayu lapis adalah PT. Segara Timber Mangkujenang, Samarinda. Penelitian ini bertujuan untuk menganalisis data kecacatan produksi kayu lapis apakah dalam keadaan terkendali atau tidak.Hasil penelitian ini menunjukkan bahwa data kecacatan produk kayu lapis telah berdistribusi geometrik dan diagram kontrol G dengan nilai koefisien sigma (k)=1 dan k=2 dalam keadaan tidak terkendali karena terdapat titik yang berada di luar kendali yaitu masing-masing 20 titik dan 1 titik, sedangkan diagram kontrol dengan nilai k=3, 4, 5, 6 dan yang bervariasi dalam keadaan terkendali karena tidak terdapat titik yang berada di luar kendali dan tidak terjadi kondisi-kondisi lainnya yang terdapat pada aturan Western Electric. Nilai k terbaik untuk mendeteksi adanya keadaan di luar kendali yaitu nilai k=2 karena tidak terdapat banyak titik yang di luar kendali sehingga tidak menimbulkan kerugian yang besar bagi perusahaan dan batas kendali lebih kecil sehingga lebih sensitif dalam mendeteksi adanya titik yang berada di luar batas kendali.
KOMBINASI METODE PARTIAL LEAST SQUARE (PLS) DAN TECHNOLOGY ACCEPTANCE MODEL (TAM) : EVALUASI PEMBELAJARAN (PRAKTIKUM ONLINE) Nariza Wanti Wulan Sari; Ika Purnamasari; Fahrullah Fahrullah
METIK JURNAL Vol 4 No 1 (2020): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v4i1.168

Abstract

Corona virus disease (Covid-19) pandemic give effect in education. During the pandemic, the learning process was done online both of theory and practicum based on the e-learning system. Combination of partial least square (PLS) method and technology acceptance model (TAM) method used to evaluate the learning process to know students’ understanding especially practicum online. Variables using in TAM are perceived ease of use, perceived usefulness, attitude toward using, and behavioral intention. The results of this research show that there is a positive attitude by students who feel easy to do the online practicum. However, this not affects their enthusiasm to do online practicum again.
Fuzzy Inference System Using Tsukamoto Method For Making Decision of Production (Case Study: PT Waru Kaltim Plantation) Dominggus Norvindes Dellas; Ika Purnamasari; Nanda Arista Rizki
METIK JURNAL Vol 4 No 2 (2020): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v4i2.171

Abstract

The decision-making process using a fuzzy inference system (FIS) logic can use one of the methods called the Tsukamoto method. The process carried out in this method is the same as the fuzzy method in general, namely the formation of fuzzy sets, the fuzzification process, defuzzification, and measuring the accuracy of the result. The purpose of this study was to apply the Tsukamoto method to predict the yield of oil palm production at PT. Waru Kaltim Plantation. Based on the analysis using the Tsukamoto method, 36 fuzzy rules were obtained for each data from February 2013 to December 2015. The prediction results of palm oil production in 2013 did not change, except for May and August. In February, March, June, and August 2014 the level of production is constant, and almost throughout 2015, there was constant. The predicted MAPE for oil palm production was 31,522%, or in the fairly good category.
PEMODELAN VECTOR AUTOREGRESSIVE EXOGENOUS (VARX) UNTUK MERAMALKAN DATA EKSPOR TOTAL DAN IMPOR TOTAL DI INDONESIA Nur Afifah Salsabila; Sri Wahyuningsih; Ika Purnamasari
Jambura Journal of Probability and Statistics Vol 3, No 2 (2022): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v3i2.15527

Abstract

Vector Autoregressive Exogenous (VARX) is a multivariate time series model which is a development of the Vector Autoregressive (VAR) model. VARX model is a forecasting model that involves endogenous variables and exogenous variables. The endogenous variables in this study are exports and total imports in Indonesia, then the exogenous variable in this study is the composite stock price index in Indonesia. The purpose of this study is to VARX model the export and total import data in Indonesia for the period January 2016 to December 2021 and predict it for the period January 2022 to December 2022. Based on the result of the analysis, the best model for forecasting export and total imports is the VARX(2.2) model with the MAPE value for the total export variable of 5.938% and the total import variable of 8.313%. Furthermore, the results of forecasting total exports have increased in the period January 2022 to December 2022, with forecasting results for January 2022 of US$21,383.06 million and December 2022 of US$23,569.50 million. The results of forecasting total imports have increased in the period January 2022 to December 2022, with forecasting results in January 2022 of US$17,743.17 million and December 2022 of US$20,269.07 million.
Peramalan Jumlah Produksi Kelapa Sawit Provinsi Kalimantan Timur Menggunakan Metode Singular Spectrum Analysis Meiliyani Siringoringo; Sri Wahyuningsih; Ika Purnamasari; Melisa Arumsari
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 3 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm46

Abstract

Singular spectrum analysis (SSA) is a nonparametric method that does not rely on assumptions such as stationary nature or residual normality. SSA separates time series data into its components, which are trend, seasonality, and error (noise). This study aimed to obtain forecasting results for the amount of oil palm production in East Kalimantan Province for the period January 2021 to December 2021 using SSA. Based on the results of the data analysis, in the process of forming the forecasting model with in-sample data, the parameter window length (L) was 24, which produced a MAPE value of 0.464%, and while the forecasting model validation process used out-sample data, it produced a MAPE value of 41.172%.
Pelatihan Penggunaan Fungsi Hitung Dasar dan Logika Matematika Statistika untuk Penyelesaian TIU Ika Purnamasari; Meiliyani Siringoringo; Sri Wahyuningsih; Memi Nor Hayati; Suyitno Suyitno; Rito Goejantoro; Surya Prangga
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 6, No 1 (2023): Volume 6 No 1 Januari 2023
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v6i1.8423

Abstract

ABSTRAK  Pegawai Negeri Sipil (PNS) yaitu warga negara Indonesia yang memenuhi syarat tertentu, diangkat sebagai Pegawai ASN secara tetap oleh pejabat pembina kepegawaian untuk menduduki jabatan pemerintahan. Pada proses perimaaan CPNS, terdapat dua tahapan Seleksi yaitu SKD dan SKB. Pada SKD, pemerintah memberlakukan passing grade yang menjadi penentu kelulusan ke tahap SKB. Salah satu jenis tes pada tahap SKD yaitu TIU yang merupakan tes untuk mengukur tingkat intelegensi dalam analisa numerik, verbal, figural, serta kemampuan untuk berpikir logis dan analitis. Tujuan kegiatan pelatihan yaitu memberikan informasi kepada masyarakat umum, khusunya masyarakat yang akan mengikuti tes seleksi SKD CPNS 2021 tentang penggunaan fungsi hitung dasar dan logika dalam mengerjakan soal TIU dengan lebih mudah, cepat dan tepat. Berdasarkan hasil penilaian pada saat pelatihan, peserta dapat menunjukkan adanya peningkatan pemahaman dalam menyelesaikan soal TIU dengan mudah, cepat dan tepat.  Hal ini terlihat dari peningkatan nilai skor posttes yang jauh lebih tinggi dibandingkan saat pretes. Kedepannya diharapkan adanya kegiatan lanjutan dengan intensif agar peserta kegiatan dapat terbiasa dalam pemecahan soal dengan cepat. Kata Kunci: ASN; PNS; SKB; SKD; TIU  ABSTRACT  Civil Servants (PNS) is an Indonesian citizen who meets certain conditions, appointed as an ASN employee regularly by the office of staffing to occupy government positions. In the CPNS acceptance process, there are two stages of selection, namely SKD and SKB. In SKD, the government imposes a passing grade that determines graduation to the SKB stage. One type of test at the SKD stage is TIU which is a test to measure the level of intelligence in numerical analysis, verbal ability, figural ability, and the ability to think logically and analytically. The purpose of the training is to provide information to the general public, especially the public who will take the 2021 SKD CPNS selection test on the use of fundamental calculation functions and logic in working on TIU problems more simply, quickly, and precisely. Based on the yield of the assessment at the time of training, participants can show an increased understanding of solving TIU problems simply, quickly, and precisely. The posttest score is much higher than during pretests. In the future, expected that this training can continue intensive so that participants can get used to solving problems more quickly. Keywords: ASN; PNS; SKB; SKD; TIU
Co-Authors Aisyah Aisyah Alfian Hidayat Annisa Hayatunnufus Arjun Pratama Ayu Aryati Bayu Iswahyudi Noor Bayu Nanda Permana Chairunnisa Chairunnisa Cristine Uli Artha Darnah Darnah Darnah Desi Yuniarti Diang Dewi Tamimi Dini Elizabeth Dominggus Norvindes Dellas Dwi Kartika Damayanti Elisa Feronica Emi Harmianti Fahrullah, Fahrullah Fidia Deny Tisna Amijaya Franklin Peter Anton Karundeng Gracia Indah Fajarini Grassella Gunsyang Hidaya Annur Hisintus Suban Hurint Imasdiani Imasdiani Khairun Nida Lisda Ramadhani Marisa Nanda Rahmaniah Meiliyani Siringoringo Melisa Arumsari Memi Nor Hayati Memi Nor Hayati Memi Nor Hayati Memi Nor Hayati Muhammad Al-Firdaus Erdian Muhammad Fathurahman Muhammad Jainudin Musmirani Musmirani Nanda Arista Rizki Nanda Yopan Kusrahman Nariza Wanti Wulan Sari Nuning Kusumaningrum Nur Afifah Salsabila Nur Annisa Roziya Nur Eka Fitria Nurul Hidayah Prangga, Surya Rahmad Fahreza Adiyasa Reyham Nopriadi Gurianto Rina Aprilianti Riska Veronika Rito Goejantoro Rito Goejantoro Rito Goejantoro Rito Goejantoro Roy Tridoni Situmorang Sekar Nur Utami Siti Rahmah Binaiya Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Suyitno Suyitno Suyitno Suyitno Syeli Ariessela Try Hardini Rahayu Mukti Wasono Wasono Wenny Kristina Yudha Muhammad Faishol Yuki Novia Nasution Yuki Novia Nasution Yuki Purnamasari Yuli Ratnasari