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All Journal HAYATI Journal of Biosciences CAUCHY: Jurnal Matematika Murni dan Aplikasi UNEJ e-Proceeding Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Natural
Indah Ratih Anggriyani
Jurusan Matematika dan Statistika, Fakultas MIPA, Universitas Papua
Agriculture, Biological Sciences & Forestry Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences 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.
MODEL DAN PELUANG TERJADINYA HUJAN BERDASARKAN KELEMBABAN MENGGUNAKAN REGRESI LOGISTIK BINER DI KABUPATEN MANOKWARI Inayatul Farach Ardianty; Indah Ratih Anggriyani
Jurnal Natural Vol. 16 No. 1 (2020): Jurnal Natural
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v16i1.49

Abstract

Manokwari Regrency has a tropical climate. This results in significant rainfall. One factor that stimulates rain is humidity. By using binary logistic regression, the model an chance of rainfall based on humidity can be determined. Logistic regression analysis is used to determine the relationship between categorical scale response variables and numeric or categoric scale explanatory variables. If response variable used is nominal scale with two possoble value (0 and 1), then it is called binary logistic regression. Estimation of the model is done by logit transformation. The model produce in this study is g(x) = -23.443 + 0.289 humidity. The accuracy of the model is 70.4 percent and the probability of rain for humidity lowering one unit will be reduced to 0.74.
MAPPING MICRO AND SMALL INDUSTRY BASED ON RAW MATERIALS AND BUSINESS UNIT IN MERAUKE REGENCY WITH BIPLOT ANALYSYS La Fajrin La Fajrin; Indah Ratih Anggriyani; Dariani Matualage; Fitryanti Pakiding
Jurnal Natural Vol. 18 No. 2 (2022): Jurnal Natural
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v18i2.189

Abstract

In the 2015-2035 national industrial development master plan, it is stated that micro and small industries are one of the contributors to the national economy. This means that the even distribution of industrial and regional development according to the potential of natural resources in each region is the main target. Merauke regency has the second largest number of micro and small industries in Papua Province. Business development in this industry was found to be difficult. Raw materials are one of the supporting factors in developing the micro and small industries business. The availability of sufficient and sustainable raw materials will facilitate production. The number of available business units also affects the absorption of labor. Increased employment can reduce unemployment and poverty rates. Information on the potential of raw materials and business units can be used as the basis for consideration of decisions, policies and efforts to increase the distribution of development and industrial estates according to the potential of natural resources. Biplot analysis was used in this study to map the potential raw materials for each district. This analysis describes summary table data in a two-dimensional graph, which is based on singular value decomposition. The results show that the first is the availability of raw materials for food crops which is high in the district of Jagebob, Kurik, Muting, Semangga and Ulilin. Animha and Naunkenjerai districts have high availability of raw materials for fishery commodities. The highest raw material for agricultural commodities is found in the Merauke district. Second is the number of business units for livestock and plant commodities, which is quite high in the Merauke district. The number of business unit for plantation commodities and services is quite high in the Kurik district. The number of service business unit is mostly found in Malind district. The resulting feasibility measure is 0.804 raw materials and 0.765 business units.
PENERAPAN ANALISIS BIPLOT UNTUK MENGGAMBARKAN LUAS PANEN KOMODITI JAGUNG DAN UBI KAYU DI KABUPATEN MANOKWARI TAHUN 2021 Imelda Bobo Botunna; Indah Ratih Anggriyani
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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

Abstract

Biplot analysis is a method that is able to describe data in two-dimensional graphs. In the biplot analysis there are four important information obtained from the biplot display, namely the proximity between variables in an object, diversity of variables, correlation between variables and variable values ​​in an object. From the results obtained, the districts of East Manokwari, West Manokwari, South Manokwari, Warmare and Tanah Rubu have the same characteristics in that the value of harvested area is below the average in all corn and cassava commodity variables. October is the highest harvested area compared to other months. The harvested area for maize was found to be almost the same in all districts in May, as for cassava in June. There is a positive relationship in February and May for corn commodity. Meanwhile, for cassava, a positive relationship was found in February, March, April, November, June and September. The largest harvested area for corn commodity in 2021 is found in Prafi and Sidey Districts, while cassava is found in Prafi and North Manokwari Districts. The measure of the feasibility of the biplot produced by corn and cassava commodities, respectively, is 96.3% and 91.5%, which means that the information provided by the biplot of all the information contained in the data is good. Keywords: Biplot Analysis, Harvested Area, corn commodity, cassava commodity
METODE REGRESI LOGISTIK BINER DAN METODE K-NEAREST NEIGHBOR PADA KLASIFIKASI MENOPAUSE DINI WANITA DISTRIK ORANSBARI PROVINSI PAPUA BARAT Indah Ratih Anggriyani; Eka Dewi Kusumawati; Elda Irma Jeanne Joice Kawulur
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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

Abstract

Machine learning is a developing part of artificial intelligence. One part of that is classification. Two classification methods in this study are binary logistic regression and k-nearest neighbor. Both methods were applied to cases of women with early menopause in Oransbari district West Papua Province. The aim is to determine the effectiveness of the two methods in several conditions of training and testing data. The data with the proportion of 80% training and 20% testing resulted in the best level of effectiveness. In general, the binary logistic regression method produces a higher model accuracy than the kNN method. The accuracy of predicting women with early menopause is higher than the binary logistic regression method. Keywords: Binary Logistics Regression, K-Nearest Neighbor, Classification Method, Early Menopause
Early Menopause: Reproductive Adaptation of Javanese Women in Oransbari Distric West Papua Elda Irma Jeanne Joice Kawulur; Eka Dewi Kusumawati; Eneng Nunuz Rohmatullayaly; Indah Ratih Anggriyani
HAYATI Journal of Biosciences Vol. 30 No. 3 (2023): May 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.3.466-472

Abstract

Menopause is the permanent cessation of menstruation due to loss of ovarian follicular activity. Assessment of the age of menopause is particularly important because previous studies have shown a high risk of osteoporosis, hypertension, stroke, and coronary heart disease. This study aims to determine the risk factors for early menopause in Javanese women in Oransbari District, West Papua Province. The cross-sectional sampling method was carried out on women aged 51.73 years with an interval of 40.07-78.58 years. Age at menopause was calculated using the Probit Generalized Linear Model (GLM) analysis. We used a binary logit regression (BLR) model to estimate risk factors for early menopause. BLR analysis was fitted to estimate the odds ratio (OR) and 95% confidence interval (CI). Age at menopause is divided into two categories, normal (≥45 years) and early (<45 years). Our results show that the average age of menopause is 43.1 years, or the early menopause category, with an age range of 39.61 to 55.28 years. The results of the partial parameter significance test at the 10% significance level showed that no formal education (OR: 2.348; CI 1.4213.917) had the most significant risk factor for experiencing early menopause, followed by parity (OR: 0.623; CI: 0.377-1.023), contraception (OR: 0.118; CI: 0.038-0.296), and the lowest risk was the age at first delivery (OR: 0.389; CI: 0.207-0.716). The biocultural conditions experienced early in life in Oransbari shape the character of a younger reproductive age as an adaptive response to maximize fitness.
PERAMALAN HARGA EMAS DENGAN METODE ARIMA (STUDI KASUS: HARGA JUAL PADA TABUNGAN EMAS PT. PEGADAIAN DI INDONESIA) Susanti, Elok Devi; Matulessy, Esther Ria; Anggriyani, Indah Ratih
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Special Issue Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.40054

Abstract

Investasi adalah kegiatan yang diminati oleh sebagian besar orang di dunia dengan tujuan mendapatkan keuntungan di masa depan, namun investasi juga ada resiko tersendiri. Jenis investasi yang menjadi primadona di berbagai kalangan usia adalah emas. Investasi emas termasuk mudah dilakukan, karena tidak harus dilakukan oleh seseorang yang mempunyai penghasilan besar, selain itu juga sangat menguntungkan karena nilainya tidak terpengaruh oleh inflasi yang terjadi. Terdapat berbagai instansi yang mempermudah untuk melakukan investasi emas, salah satunya pelayanan Tabungan Emas PT. Pegadaian. Tabungan emas pegadaian adalah layanan penitipan saldo emas yang memudahkan masyarakat dalam berinvestasi emas secara mudah, murah, aman dan terpercaya. Investasi emas juga memiliki resiko, untuk memperkecil resiko yang terjadi perlu adanya analisa pergerakan harga emas agar dapat memprediksi harga emas. Metode time series adalah metode peramalan dengan menggunakan analisa plot hubungan antara variabel yang akan diperkirakan dengan urutan waktu. Metode time series yang biasa digunakan adalah metode ARIMA. Tujuan penelitian ini adalah mendapatkan model terbaik dan memperoleh hasil ramalan harga jual emas pada bulan Oktober, November dan Desember Tahun 2022. Hasil yang diperoleh adalah model terbaik dari harga jual emas adalah ARIMA (2,1,3) dengan hasil ramalan yang berfluktuasi dan yang meneghasilkan nilai MAPE  2,5%. Berdasarkan hasil MAPE yang diperoleh berarti model sangat baik dan hasil ramalan mempunyai tingkat keakuratan yang sangat baik
Latent Household Food Security in Raja Ampat Marine Protected Areas: A Binary CFA Approach Indah Ratih Anggriyani; I Made Sumertajaya; Khairil Anwar Notodiputro; Yenni Angraini
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.40979

Abstract

This study examines household food security in four marine protected areas in Raja Ampat using repeated cross-sectional household survey data. Data were collected between 2010 to 2024, grouped into five monitoring periods. This study aims to provide a measurement framework for household food security as a latent construct based on binary indicators representing dimensions of food access and to estimate latent household food security scores in the four analyzed areas. In addition to applying confirmatory factor analysis to new empirical data, this study also presents a systematic estimation framework for measuring the latent construct using binary household indicators in repeated cross-sectoral survey data. The framework includes indicator threshold estimation, tetrachoric correlation estimation, parameter estimation using the robust diagonally weighted least squares method, and derivation of latent scores based on posterior expectations using the Gauss–Hermite quadrature approach. The analysis results indicate that the one-factor model provides acceptable fit and adequate construct reliability across the analyzed area-period groups. Estimates of factor loadings and thresholds provide information on the relative contribution and severity of each indicator in representing variations in household food access conditions. Overall, the goodness-of-fit indices indicate that the one-factor structure provides a reasonable representation of the relationships among the observed indicators under the fitted measurement model.
Co-Authors Eka Dewi Kusumawati Eka Dewi Kusumawati Elda Irma Jeanne Joice Kawulur Eneng Nunuz Rohmatullayaly Esther Ria Matulessy Fitryanti Pakiding I Made Sumertajaya Imelda Bobo Botunna Inayatul Farach Ardianty La Fajrin La Fajrin Matualage, Dariani Susanti, Elok Devi Yenni Angraini