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All Journal International Journal of Artificial Intelligence Research Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan Literatus Jurnal Natural PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Journal of Innovative and Creativity

Matualage, Dariani

Jurusan Matematika Dan Statistika FMIPA Universitas Papua

Author-ID : 819891

Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Upaya Peningkatan Pemahaman Preventif Penyakit Malaria dan Diabetes Melitus pada Masyarakat di Manokwari Dwiranti, Febriza; Sinuraya, Sabarita; Matualage, Dariani
Jurnal SOLMA Vol 8 No 1 (2019): Jurnal SOLMA
Publisher : Uhamka Press

Menurut Puskesmas di Manokwari, pasien yang terbanyak berobat adalah penderita malaria sedangkan penderita penyakit diabetes melitus paling sedikit yang berobat di Puskesmas. Bila berobat,  kondisi pasien yang berobat biasanya perlu dirujuk ke rumah sakit untuk rawat jalan dan rawat inap. Hal tersebut disebabkan karena masyarakat tidak memiliki pengetahuan yang cukup terhadap penyakit ini. Berdasarkan hal tersebut, maka perlu dilakukan upaya agar masarakat paham terhadap penyakit tersebut.  Target dalam kegiatan ini adalah masyarakat pedesaan dan perkotaan. Metode yang dilakukan adalah teknik wawancara, penyuluhan, pemutusan siklus hidup nyamuk dan pengukuran biomedis.  Hasil pemeriksaan medis, jumlah Penderita Diabetes Melitus (tipe 2) dan Toleransi Glukosa Terganggu (TGT) di Perkotaan (Sanggeng) lebih tinggi daripada di Pedesaan. Penderita DM tipe 2 di desa dan di kota adalah wanita dengan pekerjaan ibu RT atau tidak bekerja dan tidak ditemui penderita DM tipe 2 maupun TGT pada laki-laki.  Responden yang berasal dari Sanggeng yang menderita DM dan TGT mulai umur 45 - 54 tahun sedangkan dari Amban berumur 15 -24 tahun. Responden yang berada pada lokasi Amban  mempunyai indeks Massa Tubuh (IMT) terbanyak adalah normal sedangkan pada responden dari Sanggeng (daerah perkotaan) adalah obese. Indeks Massa Tubuh tersebut sejalan dengan kondisi obesitas sentral dan hipertensi. Penyakit malaria lebih banyak ditemui pada lokasi pedesaan daripada perkotaan. Penderita malaria tropika lebih banyak ditemui di desa dibandingkan kota. Setelah dilakukan penyuluhan, penanaman tanaman pengusir nyamuk dan pemberian ikan kasus DM tipe 2 dan malaria terlihat menurun karena masyarakat telah memahami informasi untuk preventif malaria dan diabetes melitus.

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

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

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.

PENDUGAAN PENGELUARAN PER KAPITA DESA DI KABUPATEN JEMBER DENGAN METODE PREDIKSI TAK BIAS LINIER TERBAIK EMPIRIS Dariani Matualage
Jurnal Natural Vol. 13 No. 1 (2014)
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v13i1.23

Per capita expenditure is very important for a region, It’s estimation are only conducted at national to district level based on National Socio-Economic Survey (Susenas) data conducted by BPS. The survey was designed for a national scale, so the estimation would have low precision if used for smaller sub-populations, such as villages. One attempt to improve the precision of the estimation is by increasing the effectiveness of the sample size known as the small area estimate (SAE). One method in SAE that is very well used for continuous data is the Empirical Best Linear Unbiased Prediction (EBLUP). EBLUP method is used to estimate per capita expenditure of each village in Jember District by using companion variables, the percentage of the Askeskin recipients in the last year. The result is that the estimation of village per capita expenditure in Jember Regency by EBLUP method have better precision than direct estimation. There are three outlier data including Karangrejo, Jember Lor and Sumbersari that have very high per capita expenditures because they are located in urban areas

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

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.

MODEL SIR (SUSCEPTIBLE, INFECTED, REMOVED) PENYEBARAN COVID-19 DI PROVINSI PAPUA BARAT: MODEL SIR (SUSCEPTIBLE, INFECTED, REMOVED) PENYEBARAN COVID-19 DI PROVINSI PAPUA BARAT Triono Wahyu Diamtoro; Tri Widjajanti Widjajanti; Dariani Matualage
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.v17i2.146

Coronavirus Disease 2019 (COVID-19) is an infectious disease that has been declared a global pandemic by the World Health Organization (WHO). Indonesia is one of the countries affected by this disease and has spread to all provinces including West Papua Province. The purpose of writing this article is to determine a model for the spread of COVID-19 in West Papua, to analyze the point of equilibrium and stability and to determine the basic reproduction number R_0 model. The model used is the SIR epidemiological model and to analyze the equilibrium point and data collection, the author used the Mapple 13 application. The result of this study are a mathematical model based on the assumptions of the spread of COVID-19 in West Papua namely:dS/dt=-βSI/N.dI/dt=βSI/N-αI.dR/dt=αI.The equilibrium obtained based on the equilibrium analysis is the non-endemic equilibrium point, namely E=(S_0,I_0,R_0 )=(N,0,0)which is categorized as stabil neutral. The basic reproduction number (R_0 ) obtained based on the SIR COVID-19 model in West Papua isR_0=β/αwith R_0=1,2. Because the value of R_0>1 means that the spread of COVID-19 in West Papua will increase to become an epidemic. Keywords: SIR, COVID-19, Equilibrium Point, Basic Reproduction Number.

Upaya Peningkatan Pemahaman Preventif Penyakit Malaria dan Diabetes Melitus pada Masyarakat di Manokwari Febriza Dwiranti; Sabarita Sinuraya; Dariani Matualage
Jurnal SOLMA Vol. 8 No. 1 (2019)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Majority of patients comes to the community health centers in Manokwari areas is related to malaria diseases, and small number of patients are for diabete melitus diaseses. The patients of diabetes meliatus coming to these community center are not in prediabetic conditions. This means that they are recommended to look better or advanced treatment in hospital. This conditions are due to community lack of knowledge of malaria and diabetes mellitus (DM). To eliminate these condition, community education is important to be conducted, using different approached such as comunity service. The main targets of this research project are the community living at the rural (sub urban) and town areas. Interviews, biomedical measurement parameter, community approaches, and cutting malaria mosquito living cycle, were used to collect data and information. The results indicate that numbers of family member diagnosed with DM and Impaired Glucose Tolerance (IGT) at Town are higher than those at Rural. The respondents diagnosed DM are mostly women, either as house wife or no regular work. Interestingly, no men were reported for DM. Respondents of DM and IGT from Town were mostly at age of 45 – 54 years old, while at Rural were younger, from 15-24 years old. Malaria were found higher prevalence at the sub urban areas, and mostly suffering from Plamodium falcifarum (tropica malaria). After being community approaches, planting anti-malaria herbs, the prevelance of DM and malaria were decreasing because the community awareness of preventing malaria and DM.

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

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.

Data-Driven Insights Into Underdeveloped Regencies: SHAP-Based Explainable Artificial Intelligence Approach Oktora, Siskarossa Ika; Matualage, Dariani; Notodiputro, Khairil Anwar; Sartono, Bagus
International Journal of Artificial Intelligence Research Vol 9, No 1 (2025): June
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1399

Classification analysis in high-dimensional data presents significant challenges, particularly due to the presence of complex non-linear patterns that traditional methods, such as logistic regression, fail to capture effectively. This limitation is often reflected in relatively low model accuracy. One approach to addressing this issue is through machine learning-based classification methods, such as Random Forest and Support Vector Machine (SVM). While these models generally achieve higher accuracy than logistic regression, their black-box nature limits interpretability, making it difficult to explain their classification decisions. As machine learning models continue to advance, interpretability has become a crucial concern, especially in data-driven decision-making. Post-hoc explainable artificial intelligence (XAI) techniques offer a viable solution to enhance model transparency. This study applies SHAP to machine learning models to gain insights into the underdevelopment status of regencies in Indonesia. The results indicate that SVM outperforms both logistic regression and Random Forest. SHAP values estimated from SVM, using various permuted variable subsets, exhibit stability. Clustering analysis identifies five optimal clusters of underdeveloped regencies. Based on average SHAP values, underdevelopment alleviation strategies should focus on social factors (Cluster 1), infrastructure (Cluster 2), accessibility (Cluster 3), and a combination of infrastructure, accessibility, education, and healthcare (Cluster 4), while Cluster 5 requires improvements in accessibility and economic conditions.

STRATEGY FOR ELIMINATING NEGLECTED TROPICAL DISEASES THROUGH INDIVIDUAL AND AREA ASPECTS USING THE HIERARCHICAL LOGISTIC REGRESSION METHOD Oktora, Siskarossa Ika; Matualage, Dariani; Amalia Pasaribu, Asysta; Fitriyani Sahamony, Nur; Kurnia, Anang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2495-2506

Filariasis is one of the Neglected Tropical Diseases (NTDs) that is often associated with poverty and marginalized community groups. Papua is the province with the highest number of chronic filariasis cases and has the largest number of endemic districts/municipalities compared to other provinces in Indonesia. Papua is also the province with the highest poverty rate in Indonesia. To support the government's filariasis elimination program, this study aims to determine variables that influence the incidence of filariasis in Papua at the individual and area levels. This study uses 2018 Indonesia Basic Health Research data from the Ministry of Health and regional data from BPS-Statistics Indonesia. The results using Hierarchical Binary Logistic Regression concluded that defecation behavior in latrines, prevention behavior against mosquito bites, participation in mass preventive drug administration, number of poor people, and number of health workers have a significant effect on the incidence of filariasis. In contrast, the variables age, gender, type of work, and level of education do not have a significant effect.

Co-Authors Amalia Pasaribu, Asysta Anang Kurnia Bagus Sartono Dahlia Gladiola Rurina Menufandu Desti Setya Ningsih Dwiranti, Febriza Esther Ria Matulessy Esther Ria Matulessy Esther Ria Matulessy Esther Ria Matulessy Fitriyani Sahamony, Nur Fitryanti Pakiding Indah Ratih Anggriyani Indah Ratih Anggriyani Indah Ratih Anggriyani Irfan Masrudin Kurnia, A La Fajrin La Fajrin Malawat, Jihan Rahmi Matulessy , Esther Ria Monim, H F Pakiding, F Sadik, K Sinuraya, Sabarita Siskarossa Ika Oktora Tri Widjajanti Widjajanti Trigarcia Maleachi Randa Triono Wahyu Diamtoro

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