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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Pendidikan dan Konseling Literatus Jurnal Statistika dan Matematika (Statmat) Jurnal Natural Igya ser hanjop: Jurnal Pembangunan Berkelanjutan Indonesian Journal of Multidisciplinary Science Journal of Social Research Jurnal Suara Pengabdian 45 TONGKONAN: Jurnal Pengabdian Masyarakat Journal of Innovative and Creativity JBIMA: Jurnal Pengabdian kepada Masyarakat
Esther Ria Matulessy
Program Studi Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Papua
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Transportation Other

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KAJIAN METODE FUZZY K-RATAAN DAN FUZZY K-MEDOIDS (STUDI KASUS: PENGELOMPOKAN DESA DI KABUPATEN SORONG TAHUN 2016 BERDASARKAN STATUS KETERTINGGALAN) Indah Ratih Anggriyani; Dariani Matualage; Esther Ria Matulessy
Jurnal Natural Vol. 14 No. 1 (2018)
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v14i1.3

Abstract

The developments research in the cluster analysis using the fuzzy method. The fuzzy method allocates to each group with membership value located at interval [0, 1], showing the magnitude of the possibility of an object being a member into a particular group. Outlier in data very important known before grouping, because affect the final result. Grouping by using the mean value as the center of the group will be more sensitive than using the median value, so this research applies fuzzy c-means and fuzzy c-medoid method to the grouping of villages in Sorong Regency Year 2016 based on the underdevelopment status and examine the goodness of both methods. There are 23.2% of villages that do not change when done grouping with both methods. Overall average distance of group center object and varians in the resulting group the two methods are the same, the varins between groups of fuzzy c-means is greater than the fuzzy c-medoid method.
PENERAPAN ANALISIS GEROMBOL DAN BIPLOT (STUDI KASUS: HASIL PERTANIAN DAERAH TERTINGGAL DI PROVINSI PAPUA BARAT) Indah Ratih Anggriyani; Dariani Matualage; Esther Ria Matulessy
Jurnal Natural Vol. 14 No. 1 (2018)
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v14i1.14

Abstract

One of the potential of the seven districts underdeveloped areas in West Papua Province is agriculture. In order to develop agricultural potential, an overview of agricultural products is needed including the similarity of regional characteristics and the relative position of the region. The similarity of regional characteristics to agricultural product can be known by cluster analysis. The relative posistion of the area with agricultural results is known by biplot analysis. Bintuni Bay Regency, South Sorong Regency, Tambrauw Regency and Maybrat Regency have the same characteristics in producing agriculture while Teluk Wondama Regency, Sorong Regency and Raja Ampat Regency have different characteristics. The relative position of agricultural products with the regency is Sorong Regency producing the highest number of food crops while the largest producer of horticulture fruits and vegetables are Teluk Wondama Regency and Raja Ampat Regency.
PENERAPAN ANALISIS REGRESI DATA PANEL PADA INDEKS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA BARAT Desti Setya Ningsih; Esther Ria Matulessy; Dariani Matualage
Jurnal Natural Vol. 16 No. 2 (2020): Jurnal Natural
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v16i2.118

Abstract

Panel Data Regression Analysis is a combination of time series data and cross section data. The purpose of this study is to determine the best model for panel data regression analysis on HDI in West Papua Province and to determine the HDI model in West Papua Province. The data used in this study are West Papua data in the 2019 Publication Figures and 2019 Publication Human Development Index data. In the process of determining the best model, estimating model parameters with 3 approaches namely CEM, FEM and REM, then testing model selection, classical assumption test, model equation checking and finally model interpretation. The results of this study indicate that the best regression model is FEM with individual effects and time effects with a good model of 91% which means that HDI in West Papua Province is explained by GRDP, RLS, JPM and UHH. The equation model is as follows: Based on the equations that have been obtained, the variables that have a significant effect on HDI in West Papua Province are RLS and UHH.
PERBANDINGAN ANTARA MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DAN MODEL FUNGSI TRANSFER PADA PERAMALAN CURAH HUJAN DI KABUPATEN MANOKWARI Esther Ria Matulessy
Jurnal Natural Vol. 15 No. 2 (2019): Jurnal Natural
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v15i2.138

Abstract

This study discusses the comparison of forecasting time series data between the Autoregressive Integrated Moving Average (ARIMA) method and the multi input transfer function model. ARIMA method is one of the most frequently used methods for forecasting time series data. Meanwhile, the transfer function model is a combination of the characteristics of multiple regression analysis with the characteristics of the ARIMA time series. Meanwhile, the multi input transfer function model is a transfer function model that has input variables of more than two time series. The application of these two methods is carried out on rainfall data from January 2012 to December 2017 in Manokwari Regency, West Papua Province. The input variables used are temperature, humidity, solar radiation, air pressure, and wind speed variables. The results showed the best ARIMA model was ARIMA (1,0,0) (2,0,0) 12 with an AIC value of 910.07, while for the best multi input transfer function model was ARIMA (1,1,0) AIC value of 898.24. Between the two methods, the best model used to forecast rainfall in Manokwari Regency, West Papua Province is the multi-input transfer function model (1,1,0).
Penerapan Latent Class Cluster Analysis (LCCA) Pada Pengelompokan Kabupaten/Kota Di Provinsi Papua Barat Berdasarkan Indikator Kesejahteraan Rakyat Onti Sundari; Surianto Bataradewa; Esther Ria Matulessy
Jurnal Natural Vol. 17 No. 2 (2021): JURNAL NATURAL
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v17i2.157

Abstract

Latent class cluster analysis (LCCA) is one of the techniques for latent variable. Clustering of objects is done by using probability opportunities and based on statistical models. The latent variable used in this study is the welfare of the people of West Papua which is described by 15 indicator variables of public welfare in 2019. The purpose of this study is to determine the number of groups based on the best models and characteristics formed and thus obtain an early picture of the welfare conditions in the Regency/City in West Papua Province. The research was conducted based on the smallest Bayesian Information Criteria (BIC) value of 1836.9406, the best model was three clusters. The results showed that Manokwari Regency, Sorong Selatan Regency, Sorong Regency, Raja Ampat Regency, Tambrauw Regency, Manokwari Selatan Regency, and Pegunungan Arfak Regency were in first cluster; Fakfak Regency, Kaimana Regency, Maybrat Regency and Teluk Wondama Regency are in second cluster and Bintuni Regency and Sorong City are in third cluster.
Analisis Regresi PLS Sebagai Alternatif Dari Regresi Linear Berganda: Studi Kasus Pengaruh Luas Lahan dan Luas Panen Terhadap Produksi Padi di Kabupaten Manokwari Esther Ria Matulessy; Agnes Uliarta Tambunan
Jurnal Pendidikan dan Konseling (JPDK) Vol. 5 No. 1 (2023): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v5i1.11379

Abstract

Analisis regresi linier berganda merupakan suatu metode yang dapat menganalisis pengaruh variabel bebas dengan variabel terikat. Dalam melakukan analisis regresi linier berganda harus dibuat asumsi berupa uji normalitas, uji autokorelasi, uji heteroskedastisitas, dan uji multikolinearitas. Jika uji multikolinearitas tidak terpenuhi, dapat diatasi dengan metode Partial Least Square Regression (PLS). Regresi Univariate Partial Least Square (PLS) adalah model yang menghubungkan variabel respon Y dengan sekumpulan variabel prediktor X. Tujuan dari PLS adalah untuk membentuk komponen yang dapat menangkap informasi dari variabel prediktor untuk memprediksi variabel responpk. Berdasarkan hasil dan pembahasan dapat disimpulkan bahwa dengan menggunakan metode PLS, luas lahan dan luas panen berpengaruh positif terhadap produksi padi. Nilai RMSE adalah 1242,6784, nilai MAE adalah 1014,8091. Nilai Rkuadrat metode Partial Least iv Square (PLS) memberikan nilai yang sangat besar yaitu 0,911 atau 91,1%, artinya 91,1% keragaman variabel produksi dapat dijelaskan oleh variabel luas lahan dan luas panen. Artinya metode Partial Least Square (PLS) memberikan akurasi model yang lebih baik.
Statistika Deskriptif Implementasi Program Imunisasi Dasar Lengkap di Wilayah Kerja Dinas Kesehatan Manokwari Tahun 2022 Esther Ria Matulessy; Varnila Kilian
Jurnal Pendidikan dan Konseling (JPDK) Vol. 5 No. 1 (2023): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v5i1.11450

Abstract

Statistika Deskriptif adalah metode-metode yang berkaitan dengan pengumpulan dan penyajian suatu gugus data sehingga memberikan informasi yang berguna. Oleh sebab itu penulis tertarik membahas imunisasi dasar lengkap dengan judul “Kajian Deskriptif Implementasi Program Imunisasi Dasar Lengkap di Wilayah Kerja Dinas Kesehatan Kabupaten Manokwari Periode Januari - Juni Tahun 2022”. Berdasarkan hasil dan pembahasan dapat disimpulkan bahwa dengan menggunakan analisis deskriptif grafik pemberian vaksin berdasarkan jenisnya yang terbanyak adalah vaksin Polio (1), pelayanan/puskesmas vaksinasi terbanyak rata-rata di daerah perkotaan atau tidak jauh dari pusat kota sedangkan jenis kelamin yang banyak divaksin yaitu laki-laki serta setiap puskesmas/layanan dalam pemberian vaksinasi kepada balita selalu terjadi kenaikan dan penurunan.
The Application of VECM (Vector Error Correction Model) for Rainfall Modeling in Manokwari Regency Esther Ria Matulessy
Indonesian Journal of Multidisciplinary Science Vol. 2 No. 6 (2023): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v2i6.483

Abstract

This study aims to determine the modeling of rainfall in Manokwari Regency with a Vector Error Correction Model (VECM) based on the period January 2012 to December 2017. In the modeling used temperature, humidity, and solar irradiation models. The research begins by looking at data stationary, if the data is not stationary, a differencing stage will be carried out to station the data. Then an optimal lag is determined and then a cointegration test is performed to determine whether there is a long-term relationship between variables on rainfall as a condition to proceed to VECM modeling. Based on VECM (1) obtained there are two relationships to changes in rainfall, namely the long-term and short-term relationships. In the long term relationship, changes in rainfall are only influenced by changes in the irradiation period of 1 (one) previous period. In the long term relationship, changes in rainfall are influenced by rainfall and irradiation period of 1 (one) previous period. In the short term relationship, changes in rainfall are only affected by changes in the irradiation period of 1 (one) previous period. When compared to ARIMA (1, 0, 2), VECM (1) can predict rainfall better because it has validation values smaller models than ARIMA (1, 0, 2).
Presenting of Special Express Mail’s Production and Revenue Data of 2022 Using Descriptive Statistics Antonio Vaticano Lekahena; Esther Ria Matulessy
Indonesian Journal of Multidisciplinary Science Vol. 2 No. 7 (2023): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v2i7.487

Abstract

The author wants to know the results of a descriptive statistical analysis based on income and production of postal shipments in 2021 and 2022 from 3 types of services including Special Express Mail, Special Express Packages, and Corporate. Descriptive analysis is a form of research data analysis to test the generalization of research results based on one sample. There are three main things contained in statistics, namely; data, treatment of data in the form of collection, processing/analysis, analysis and drawing conclusions, and numbers. Descriptive statistics is a part of statistics that discusses how to collect and present data so that it is easy to understand and provides useful information. The conclusions that can be drawn from the results of the descriptive statistical analysis of each service are; the highest Outoging production in 2022 comes from Special Express Packages with a total production of 14,095 units or 97% of the total production, the highest outog delivery revenue in 2022 comes from Special Express Packages with a total revenue of Rp. 1.138.614.776.- or 97% of the total revenue, the highest incoming shipping production in 2022 comes from Special Express Packages with a total production of 21,235 units or 96% of the total production, the highest incoming delivery income in 2022 comes from Special Express Packages with total income of Rp. 2.650.031.160,- or 88% of the total income.
Pemberdayaan Siswa SMA Taruna Kasuari Nusantara Manokwari Melalui Pelatihan Akademik Berbasis CAT Untuk Persiapan Sekolah Kedinasan Nurhaida; Sesa, Junianto; Randa, Trigarcia Maleachi; Muhlis, La Ode; Hilum, Rium; Monim, Harina Orpa Lefina; Matulessy, Esther Ria; Lubis, Loria Amisah
TONGKONAN: JURNAL PENGABDIAN MASYARAKAT Vol 4 No 1 (2025): Tongkonan: Jurnal Pengabdian Masyarakat
Publisher : FKIP UKI TORAJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47178/ba987w67

Abstract

SMA Taruna Kasuari Nusantara Manokwari merupakan sekolah yang tergolong baru dan memiliki semangat tinggi dalam mendorong siswanya untuk melanjutkan pendidikan ke jenjang lebih tinggi, termasuk ke sekolah kedinasan. Namun, masih terdapat kendala dalam kesiapan siswa menghadapi ujian berbasis Computer Assisted Test (CAT) yang menjadi metode seleksi utama dalam penerimaan sekolah kedinasan. Kegiatan pengabdian ini bertujuan untuk memberdayakan siswa melalui pelatihan akademik berbasis CAT guna meningkatkan kemampuan berpikir, pemahaman, dan penalaran dalam menyelesaikan soal-soal seleksi. Metode pelaksanaan kegiatan meliputi penyusunan soal simulasi CAT, pelatihan penggunaan sistem CAT, serta evaluasi hasil tes. Hasil kegiatan menunjukkan peningkatan pemahaman siswa terhadap format dan strategi mengerjakan soal berbasis CAT, serta meningkatnya motivasi siswa untuk mengikuti seleksi sekolah kedinasan. Kegiatan ini disambut baik oleh pihak sekolah dan siswa, serta direkomendasikan untuk dijadikan program rutin sebagai bagian dari pembinaan prestasi akademik.
Co-Authors Agnes Uliarta Tambunan Antonio Vaticano Lekahena Astifan E Matnai Chrisaria Palungan Chrisaria Palungan Dahlia Gladiola Rurina Menufandu Dahlia Gladiola Rurina Menufandu Desti Setya Ningsih Harina O.L Monim Indah Ratih Anggriyani Irfan Masrudin Junianto Sesa La Ode Muhlis Loria Amisah Lubis Lubis, Loria Amisah Malawat, Jihan Rahmi Mastiur Renita Damanik Matualage, Dariani Nurhaida Nurhaida Nurhaida, . Nurin Hidayah Onti Sundari Patresia Sinaga Prita Larasati Prita Larasati Puspa , Frederika Grace Riana Wijayanti Rium Hilum Rium Hilum Sabir Sumarna Surianto Bataradewa Susanti, Elok Devi Tri Widjajanti Tri Widjajanti Trigarcia Maleachi Randa Trigarcia Maleachi Randa Trigarcia Maleachi Randa Varnila Kilian Zulkarnain Zulkarnain