Claim Missing Document
Check
Articles

Found 14 Documents
Search

Application of Teaching Materials for Introduction to Elementary Level Numbers and Letters for Elementary School Teachers in Maros Regency: Penerapan Bahan Ajar Untuk Pengenalan Angka dan Huruf Tingkat Dasar Bagi Guru-guru SD di Kabupaten Maros Rusdianto Rusdi; S. Sapinah; Isma Muthahharah; Hariani Harjuna; S. Sugianty
Mattawang: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.547 KB) | DOI: 10.35877/454RI.mattawang942

Abstract

The solutions offered in this service activity are 1) to motivate students to be interested in learning the basic material, namely numbers and letters, 2) to increase teacher knowledge in determining the type of teaching materials that are suitable to be applied, 3) To motivate teachers to improve their skills. can make children interested in the material presented. The service activity was carried out at SMP Negeri 14 Tanralili, Maros Regency by involving elementary school teachers who were around the school. The results of this service activity are 1) showing the enthusiasm of the teachers to respond to the application of teaching materials for the introduction of basic letters and numbers, this is indicated by the presence of teachers who ask questions, suggestions and criticisms, 2) There is an increase in teachers' knowledge and understanding of the concept of recognizing numbers and letters for elementary school teachers, 3) There is a positive response from the participants which is marked by working on independent assignments.
Analisis Faktor PDRB Menurut Pengeluaran Yang Mempengaruhi Laju Pertumbuhan Ekonomi Provinsi Sulawesi Selatan Khaidarsyah Khaidarsyah; Isma Muthahharah
Inferensi Vol 5, No 2 (2022)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v5i2.14189

Abstract

Factor analysis can be used to track the Gross Regional Domestic Product sector that affects the rate of economic growth. Based on data obtained from the Central Statistics Agency of South Sulawesi Province, there was a significant increase from 2010 to 2021, for example, household consumption expenditure in 2010 was 100 and in 2021 it rose to 167 and that applies to all components of expenditure. This type of research uses a quantitative research approach. The data used is secular data obtained from the BPS publication of South Sulawesi Province, where the object of research is Gross Regional Domestic Product by expenditure with 8 sectors for the last 12 years, namely from 2010-2021. All expenditure component variables are eligible for factor analysis because they have met the data adequacy test and the data freedom test, and only 1 factor is formed. The expenditure component in GRDP has a very strong relationship because it has a value > 0.5 which can be said that the Expenditure Component consists of Household Consumption, LNPRT Consumption, Government Expenditure, Gross Fixed Capital Formation, Changes in Inventory, Foreign Exports, Foreign Imports, Inter-regional Net Exports affect the economic growth rate of South Sulawesi Province. The most dominant variable is Gross Fixed Capital Formation because it has a greater correlation value among other variables.
Cluster Analysis of New Students at STKIP Pembangunan Indonesia during the COVID-19 Pandemic Based on Regional Origin Sutamrin; Khadijah; Isma Muthahharah
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 1 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience1740

Abstract

This study aims to determine the distribution of origins of prospective new STKIP Pembangunan Indonesia students during the COVID-19 pandemic based on the student's name, religion adopted, chosen study program, and sources of information on new student admissions. The method used is clustering with a total sample of 27 regions in Indonesia. In this study, 3 clusters were formed, namely cluster 1 which had the most students with members namely East Jakarta, East Kalimantan, Gowa, Maros, Takalar, Bantaeng, Manggarai, West Manggarai, East Flores, West Sumba. Cluster 2 has not too many (moderate) prospective students with members namely Makassar, Barru, SInjai, Bulukumba, Soppeng, Enrekang, Jeneponto, Selayar, Polewali Mandar, East Maggarai. Cluster 3 has the fewest prospective students with members namely Makassar, Barru, Sinjai, Bulukumba, Soppeng, Enrekang, Jeneponto, Selayar, Polewali Mandar, East Maggarai
PENGELOMPOKAN DATA PELAYANAN KESEHATAN DI KOTA MAKASSAR MENGGUNAKAN WARD’S METHOD Isma Muthahharah; Agusalim Juhari
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 4 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.213 KB) | DOI: 10.30598/barekengvol14iss4pp627-632

Abstract

In health services, the quality of service places patients as the party who consumes and enjoys health services, including those that most determine the quality of health services. The Makassar city health office noted that the people served in 2018 reached 81.77% compared to 2017 which was only 81.71%. The data released by the health department have not shown specifically which districts had very good, pretty good, and poor health services during the Covid-19 pandemic. Therefore, we need a classification method, namely the ward's method. Health services in this study include hospitals, health centers, home care and telemedicine in 15 sub-district locations. Based on the results of the analysis formed 3 clusters, namely cluster 1 with members of the sub-districts of Biringkanaya, Bontoala, Makassar, Manggala, Tallo, Tamalanrea, and Wajo which have pretty good health services. cluster 2 with sub-district members namely Mamajang, Panakkukang, Rappocini, Ujung Pandang, and Sangkarang Islands which have very good health services, cluster 3 with members of Mariso, Tamalate and Ujung Tanah sub-districts which have poor health services.