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STUDI EFEKTIFITAS PROGRAM TENSI TERHADAP KREATIVITAS DAN PSIKOSOSIAL LANSIA DENGAN PENDEKATAN STATISTIKA Khaerati, Rusydah; Rosdiana, Rosdiana; Sumaya, Andi Dewi; Ernasari, Ernasari; Thamrin, Sri Astuti
Prosiding Seminar Nasional Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika (VARIANSI) Vol 1 (2018)
Publisher : Program Studi Statistika, FMIPA, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.895 KB)

Abstract

Permasalahan yang sering dihadapi oleh seseorang yang telah memasuki masa lanjut usia (lansia) bukan hanya perubahan secara fisik dan kognitifnya saja, namun juga berpengaruh besar terhadap keadaan psikososial dari lansia itu sendiri. Psikososial lansia yang tidak ditangani secara tepat akan mempengaruhi kualitas hidup baik kesehatan fisik maupun kemampuan kognitif lansia. Oleh karena itu, melalui program “Tensi (Tenda Seni Lansia)” ini, diharapkan masyarakat lansia dapat melakukan suatu aktivitas yang bermanfaat dan menyenangkan sehingga kebutuhan psikososialnya dapat terpenuhi dengan baik. Untuk membuktikan keefektifan program, maka digunakan metode penelitian eksprimen dengan memberikan perlakuan pada lansia berupa aktivitas yang menghasilkan karya seni untuk melihat apakah terjadi peningkatan kreativitas dan interaksi antara masyarakat lansia dengan masyarakat diumur yang berbeda-beda. Jumlah sampel dalam penelitian ini sebanyak 8 lansia, penentuan sampel menggunakan teknik purposive sampling dengan kriteria lansia yang mengikuti kegiatan Tenda Seni Lansia. Teknik pengumpulan data dengan melakukan pre dan post test, wawancara dan observasi. Pengujian data pre dan post test menggunakan uji normalisasi dan uji paired t-test. Hasil yang diperoleh dari pengujian uji normalisasi data menunjukkan bahwa rata-rata nilai sampel pra dan pasca perlakuan memiliki perbedaan atau tidak sama. Hal ini berarti program TENSI efektif dalam meningkatkan kreativitas dan  interaksi sosial antara masyarakat lansia melalui beberapa kegiatan yang terlaksana. Kata Kunci: Psikososial, purposive sampling, tenda seni lansia, uji normalisasi, uji paired t-test.
Peningkatan Kualitas Pembelajaran Matematika Bagi Guru SMA Melalui Media Google Classroom dan Geogebra Aris, Naimah; Erawaty, Nur; Massalesse, Jusmawati; Sirajang, Nasrah; Wahda, Wahda; Kasbawati, Kasbawati; Thamrin, Sri Astuti; Sahriman, Sitti; Ramadhan, Muh. Nur Bahri; Jaya, A. Kresna
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 3 No 2 (2019): JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Forum Dosen Indonesia JATIM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.483 KB) | DOI: 10.36339/je.v3i2.253

Abstract

The involvement of teachers in Bone Regency in using information and communication technology (ICT) to prepare teaching materials is very little or even never said, even though computer facilities and infrastructure are available in the computing lab. This activity aims to provide knowledge to Mathematics teachers about online learning Google Classroom and Geogebra. The use of Google Classroom will make learning more effective for teachers and students because learning is no longer limited by space and time, student can explore learning resources easily and utilize information technology properly. Likewise, Geogebra training is expected to overcome the difficulties of teachers in visualizing concept charts in mathematics dynamically. The target audience for community service is mathematics teachers who are members of the Mathematics MGMP in Bone Regency.
Penggunaan Data Mining Saat Ini Dan Tantangannya Di Masa Depan Sri Astuti Thamrin
Jurnal Matematika, Statistika dan Komputasi Vol. 3 No. 1: July 2006
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (139.694 KB) | DOI: 10.20956/jmsk.v3i1.3295

Abstract

This paper begins by describing the main activities involved in the data mining process and highlight the two major styles of data mining: supervised and unsupervised. It then describes two “hot” areas where data mining applications are being used successfully business database systems and the Internet. Finally, it concludes by examining the challenges and research issue data mining will face in the future
Analisis Data Survival Menggunakan Metode Proportional Hazard dan Accelerated Failure Time Sri Astuti Thamrin
Jurnal Matematika, Statistika dan Komputasi Vol. 4 No. 2: January 2008
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.354 KB) | DOI: 10.20956/jmsk.v4i2.3331

Abstract

This paper describes survival data analysis using proportional hazard method and accelerated failure time method to determine the factors that influence survival times of patients’ Diabetes Mellitus in Dr. Wahidin Sudirohusodo hospital in Makassar. Besides that, we compare the results of these methods. The results show that among eight tested variables, three of them are affected factors. 
Aplikasi Kalman Filter pada Data Survival Erna Tri Herdiani; Nuravia Nuravia; Sri Astuti Thamrin
Jurnal Matematika, Statistika dan Komputasi Vol. 6 No. 2: January 2010
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.213 KB) | DOI: 10.20956/jmsk.v6i2.3356

Abstract

Kalman Filter merupakan metode untuk memprediksi nilai suatu peubah di masa yang akan datang dengan mempertimbangkan data-data sebelumnya yang senantiasa di up-date. Metode ini selanjutnya akan diaplikasikan pada data survival penderita penyakit Tuberculosis (TB) dari penduduk Amerika Serikat. Metode ini sangat menarik untuk digunakan karena Tan (2004) hanya memanfaatkan metode state space saja dalam memprediksi nilai peubahnya. Oleh karena itu, pada paper ini akan memanfaatkan metode Kalman Filter dalam memprediksi nilai suatu peubah dari data survival penderita TB di Amerika Serikat. 
Methods for Estimating Survival Time of Treatments for Renal Dialysis Sri Astuti Thamrin
Jurnal Matematika, Statistika dan Komputasi Vol. 14 No. 2 (2018): January 2018
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.772 KB) | DOI: 10.20956/jmsk.v14i2.3551

Abstract

This papes discusses the theory and application of statistical methods for describing and analyzing survival times of the renal dialysis patients : a) from the first diagnosis until the time of death, and b) on each mode of given treatment. The paper also tries to predict the variables significantly effecting the survival time of renal dialysis patients. The paper makes use of and focuses on the data sets containing patient hospital records, patients’ identity and hospital code centre. To meet the desired aims, the paper uses two prominent methods of survival analysis including the Kaplan-Meier and Cox Proportional Hazard model. The result shows that survival time on the first treatment depends on mode of treatment and it quite low approximately 18 days for median time on hospital outpatient CAPD. Similarly, survival time on the second treatment is quite low about 24 days for the median time on hospital outpatient CAPD. It was also indicated that the survival time of renal dialysis patient depends on the number of treatments, the number of treatment changes, place of treatment, age and the first treatment
PENAKSIRAN PARAMETER DISTRIBUSI WEIBULL DENGAN METODE BAYESIAN SURVIVAL DAN MAKSIMUM LIKELIHOOD Sri Astuti Thamrin
Jurnal Keteknikan dan Sains (JUTEKS) Vol. 1 No. 2 (2018): Jurnal Keteknikan dan Sains - Oktober 2018
Publisher : LPPM Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.568 KB)

Abstract

Analisis kelangsungan hidup (survival) merupakan suatu prosedur statistik yang digunakan untuk menganalisis data dimana variabel yang diteliti adalah waktu sampai terjadinya suatu kejadian. Salah satu distribusi yang banyak digunakan dalam menangani masalah survival adalah distribusi Weibull. Distribusi ini memiliki parameter skala (scale) dan bentuk (shape) yang mampu menyajikan keakuratan kegagalan dengan sampel yang kecil. Untuk mendapatkan model Weibull survival, kedua parameter tersebut perlu ditaksir. Menaksir parameter dapat dilakukan dengan dua pendekatan yaitu Bayesian dan klasik (frequentist). Tujuan dari artikel ini adalah untuk mengestimasi parameter distribusi Weibull dengan metode Bayesian dan maksimum likelihood. Kedua metode tersebut dibandingkan dan diaplikasikan pada data simulasi survival yang berdistribusi Weibull.  Hasil yang diperoleh menunjukkan bahwa estimasi parameter dengan menggunakan metode Bayesian memberikan nilai taksiran yang lebih baik dibandingkan dengan metode maksimum likelihood berdasarkan nilai mean squared error (MSE).
Peningkatan Kreatifitas dan Efektifitas Pembelajaran Daring Matematika Bagi Guru SMP di Kecamatan Pattalassang melalui ISpring dan GeoGebra Naimah Aris; Nur Erawaty; Irma Andriani; Jusmawati Massalesse; Kasbawati Kasbawati; Sri Astuti Thamrin; Okta Nofri; Muhammad Zakir; Sitti Sahriman
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 5 No 3 (2021): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Perkumpulan Dosen Indonesia Semesta (DIS) Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v5i3.511

Abstract

Daring mathematics study leaves pupils with troubles and anxiety after more than a year of daring learning. Furthermore, students often struggle to understand instructional materials that need graphic interpretation when learning mathematics. This activity aims to improve the competence of mathematics teachers with skills using the iSpring and GeoGebra so that they can create creative and effective learning media so that their virtual mathematics learning becomes more interesting and understandable for students. This activity is conducted daring via Zoom and live on YouTube, as well as offline meetings that are carried out with due observance of health protocols. Lectures, demonstrations on the use of iSpring and GeoGebra, as well as monitoring and evaluation are methods used in daring and offline activities. The target audience for this community service is Middle School Mathematics teachers in Pattalassang District. The results of the training showed an increase in the understanding and skills of mathematics teachers in utilizing iSpring and GeoGebra multimedia. This improvement in IT skills can contribute to increasing creativity and effectiveness in learning mathematics in the classroom.
Strengthening Junior High School Members in Maros Regency in Supporting Adiwiyata Schools Naimah Aris; Jusmawati Massalesse; Nur Erawaty; Nurdin Nurdin; Kasbawati Kasbawati; Edy Saputra; Anisa Anisa; Anna Islamiyati; Sri Astuti Thamrin; Sitti Sahriman; Ainun Mawaddah Abdal; Najhah Aris; Muralia Hustim; Afifah Afifah
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 7 No 1 (2023): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Perkumpulan Dosen Indonesia Semesta (DIS) Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v7i1.711

Abstract

Maros Regency as an area that often receives Adipura award certificates should have schools that are also capable of achieving the Adiwiyata school title, a program that collaborates education with the environment. However, according to partners, out of 76 junior high schools in Maros Regency, only 5 have received this award. Starting from this, a team of lecturers from the Mathematics, Statistics, and Environmental Engineering study programs in collaboration with the Center for Development and Control of the Sulawesi and Maluku Ecoregions held training and mentoring activities for junior high schools in Maros Regency so that they were able to get the adiwiyata school title. Several aspects of the adiwiyata school assessment include curriculum development and environment-based learning, in this case specifically for mathematics. Organize the management of land, facilities and infrastructure in the environment around the school, in order to create an atmosphere that contributes to the formation of the character of students who are environmentally sound, build an extra-curricular climate that can contribute to environmental conservation, provide creativity and innovation for school residents in environmental protection and management efforts. The target audience for this service are students, teachers, and the junior high school environment in Maros Regency. The training activities was take place at SMP Negeri 16 Mandai, Maros Regency. The methods used include lectures, FGDs accompanied by demonstrations/practices, as well as monitoring and evaluation in class.
Pemodelan Regresi Logistik Ordinal dengan Dispersi Efek Lokasi Ainun Utari Budistiharah; Anna Islamiyati; Sri Astuti Thamrin
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.12355

Abstract

Logistic regression ordinal is a regression model that can explain the relationship between predictor variables in the form of categorical data or continuous data with response variable is more than two categories with a scale of measurement that is level or sequence. In ordinal logistic regression, the frequency of occurrence in each response category is often very different, so it will affect the model's accuracy. Therefore, this study will model ordinal logistic regression with a dispersion of location effects, then applied to the nutritional status data of toddler in 2019 at the Pekkae Puskesmas, Barru Regency. The results obtained show that the ordinal logistic regression model with the dispersion of location effects is better than the usual ordinal logistic regression model for predicting the nutritional status data for toddlers in 2019 at Pekkae Puskesmas, Barru Regency based on deviance values. The factors that influence the nutritional status of toddler based on TB/U are gender, age, and height.