Article Per Year (5 Year)
p-Index From 2020 - 2025
1.152
P-Index
This Author published in this journals
All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Quantitative Economics and Management Studies Jurnal Ilmiah Pengabdian dan Inovasi Abdi Kimia : Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Mar’ah, Zakiyah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Analisis Spasial Bayesian dengan Metode CAR Leroux (Studi Kasus: Stunting di Indonesia) Muthahharah, Isma; Mar’ah, Zakiyah
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4203

Abstract

Stunting has become a problem that has received special attention and is an urgent priority for the international community. Stunting or chronic malnutrition is a nutritional problem caused by malnutrition from food that lasts for a long time. The purpose of this study is to map the relative risk (RR) of stunting cases in Indonesia. This type of research is quantitative research. The data used are stunting cases that occurred in 2023 in Indonesia. The method used is Spatial Bayesian with the CAR Leroux Method. The selection of the best model is based on model suitability criteria, such as Watanabe Akaike Information Criterion (WAIC) and Deviance Information Criterion (DIC). The results of the analysis show that the best model obtained in the RR model of stunting cases in Indonesia shows that the CAR Leroux model with a higher GI (0.1; 0.1) is suitable for modeling the growth rate pattern of confirmed stunting cases in Indonesia. The three provinces with the highest RR values ​​are West Sulawesi Province, West Kalimantan Province, and East Nusa Tenggara Province. While the three provinces with the lowest RR values ​​are DKI Jakarta Province, South Sumatra Province, and North Sulawesi Province.
Pendampingan Tracer Study: Pembuatan Website dan Pengolahan Data Aswi; Poerwanto, Bobby; Mar’ah, Zakiyah
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 2 No. 1 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (September)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v2i1.263

Abstract

Tracer study and user survey are two instruments used to obtain data related to alumni when they are graduated, during the transition period, and the time when tracking is filled. The data is not only to get an overview of the condition of alumni and response from their supervisor, it is also used to provide data on accreditation needs at both BAN PT and LAMs. This activity aims to maximize the implementation of tracer studies based on criteria from BAN PT, and also provide a tracer study website to facilitate data processing. To solve this problem, there were 2 main activities carried out, namely assistance in making a tracer study website which was carried out for 1 month, and training in analyzing data. The first result of this activity was the availability of a website tracer study which has accommodated partner’s tracer study needs, and increased knowledge related to tracer study implementation standards to maximize value in study program accreditation. Secondly, A tracer study website has been created and can help provide supporting data and analysis of tracer study data.
Forecasting Indonesia’s Wholesale Price Index (WPI) Using the Holt's Exponential Smoothing Method Muthahharah, Isma; Meliyana, Sitti Masyitah; Mar’ah, Zakiyah
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3937

Abstract

The Index of Wholesale Price (WPI) is a key benchmark in analyzing price movements at the wholesale level as it can affect the economic stability of a country. This research purpose to forecast the movement of WPI in Indonesia using Holt's Exponential Smoothing technique, which is effective in analyzing time series data that show trend patterns. This research utilizes secondary data obtained from the BPS for the period 2020-2024. The analysis is carried out by determining the optimal value of α and β parameters using trial and error techniques. Furthermore, the forecasting process is carried out using the best parameters that have been obtained. Based on the analysis results, the combination of parameters α = 0.9 and β = 0.8 provides a Mean Absolute Percentage Error (MAPE) value of 0.22%, which indicates a very good level of forecasting accuracy. WPI forecasting for the year 2025 shows a consistent upward pattern, reflecting a consistent increase in WPI previous historical trends. The results of this study can be a reference in making price and wholesale trade policies by the government and related parties in the economic sector.
Implementation K-Medoids Algorithm for Clustering Indonesian Provinces by Poverty and Economic Indicators Hafid, Hardianti; Meliyana, Sitti Masyitah; Muthahharah, Isma; Mar’ah, Zakiyah
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3940

Abstract

Regional development disparities in Indonesia remain one of the main challenges in formulating national development policies. This study aims to classify the 38 provinces in Indonesia based on four key indicators: the percentage of the population living in poverty, Gross Regional Domestic Product (GRDP) per capita, the open unemployment rate, and the Human Development Index (HDI), using the K-Medoids algorithm. This method was chosen due to its robustness to outliers and its ability to produce representative clusters. The data used are secondary data obtained from the Central Bureau of Statistics (BPS). The analysis process began with data standardization, determination of the optimal number of clusters using the Elbow and Silhouette methods, followed by clustering implementation and result interpretation. The analysis results identified four main clusters with distinct socioeconomic characteristics. Cluster 1 reflects provinces with moderate conditions, Cluster 2 represents more developed provinces, Cluster 3 highlights regions facing significant development challenges, and Cluster 4 consists of provinces with the most underdeveloped socioeconomic conditions. These findings indicate that the K-Medoids algorithm is effective in identifying inter-provincial disparity patterns and can serve as a foundation for formulating more targeted and inclusive development policies.
MIXED ESTIMATORS OF TRUNCATED SPLINE-EPANECHNIKOV KERNEL ON NONPARAMETRIC REGRESSION AND ITS APPLICATIONS Sifriyani, Sifriyani; Dani, Andrea Tri Rian; Fauziyah, Meirinda; Mar’ah, Zakiyah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2023-2032

Abstract

Research on innovations in the statistics and statistical computing program systems implemented in the health sector. The development of a mixed estimator model is an innovation of nonparametric regression analysis by combining two approaches in nonparametric regression, namely the truncated spline estimator and the Epanechnikov kernel. The urgency of this study is that there are often cases where there are different data patterns from each predictor variable. In addition, by using only one form of the estimator in estimating a multivariable regression curve, the result is that the estimator obtained will not match the data pattern. The research objective was to find a mixed estimator between the truncated spline and the Epanechnikov kernel and the estimator results were applied to Dengue Hemorrhagic Fever case data. The unit of observation is a province in Indonesia and This study relied on secondary data received from the Central Statistical Agency (BPS) and the Health Office. Based on the analysis results, it was found that the best model of nonparametric regression with a mixed estimator of the truncated spline and Epanechnikov Kernel is a model with 3 knots with a combination of variables. The coefficient of determination (R2) is 98.11%. We can conclude that the mixed estimator tends to follow actual data and represents a nonparametric regression model with a mixed estimator that can predict the number of Dengue Hemorrhagic Fever Cases in Indonesia
PEMANFAATAN G SUITE FOR EDUCATION UNTUK MENINGKATKAN EFEKTIVITAS BELAJAR MENGAJAR DAN KAPASITAS GURU SMPN 4 BONTONOMPO KABUPATEN GOWA Rais, Zulkifli; Annas, Suwardi; Ruliana; Mar’ah, Zakiyah; Fahmuddin, Muh.
ABDI KIMIA: Jurnal Pengabdian Masyarakat Vol 1 No 2 (2024): Jurnal Edisi Juni
Publisher : Jurusan Kimia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/abdi.v1i2.2573

Abstract

SMPN 4 Bontonompo merupakan salah satu SMPN yang berusaha memanfaatkan teknologi informasi dalam metodologi pengajarannya. Mereka tertarik untuk mengadopsi layanan G Suite for Education untuk E-learning. SMPN 4 Bontonompo bekerja sama dengan Fakultas Matematika dan Sains (FMIPA) UNM mengadakan workshop pengenalan G Suite for Education, migrasi dan penyiapan email institusi, serta workshop pelatihan Google Classroom. Layanan ini dilakukan dalam 2 tahap. Fase pertama adalah menyiapkan email sekolah berdasarkan G Suite untuk Pendidikan dan fase kedua adalah pelatihan Google Kelas untuk guru. Dengan menerapkan layanan baru, semua guru dan siswa sekolah dapat menggunakan layanan terintegrasi dari Google, termasuk Google Classroom. Setelah layanan ini, para pengajar dapat mulai menggunakan Google Classroom untuk meningkatkan efisiensi pengajaran di sekolah dan memudahkan setiap siswa untuk mengakses konten karena dapat diakses kapan pun dan di mana pun. Para guru juga puas dengan pelatihan tersebut
Co-Authors Aswi Dani, Andrea Tri Rian Fahmuddin, Muh. Fauziyah, Meirinda Hardianti Hafid Muthahharah, Isma Poerwanto, Bobby Ruliana Sifriyani, Sifriyani Sitti Masyitah Meliyana R. Suwardi Annas Zulkifli Rais