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All Journal Media Statistika Jurnal Ilmiah Pena: Sains dan Ilmu Pendidikan Jurnal PAJAR (Pendidikan dan Pengajaran) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jambura Journal of Mathematics Jurnal Varian Variansi : Journal of Statistics and Its Application on Teaching and Research Seminar Nasional Pengabdian Kepada Masyarakat VARIANSI: Journal of Statistics and Its Application on Teaching and Research Indonesian Journal of Fundamental Sciences Pinisi: Journal of Teacher Proffesional Indonesian Journal of Statistics and Its Applications

Annas, Suwardi

Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Negeri Makassar

Author-ID : 3496066

Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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PKM PELATIHAN PEMBUATAN HANDSANITIZER BERBAHAN DASAR ALAM BAGI IBU-IBU KOMPLEKS CITRA MAS Sitti Faika; Bakhrani A. Rauf; Suwardi Annas
Seminar Nasional Pengabdian Kepada Masyarakat PROSIDING EDISI 9: SEMNAS 2020
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.116 KB)

Covid 19 is a pandemic disease that is not only take effected by Indonesian people, but this extraordinary incident is also hit by almost all countries in the world, with the number of positive Covid 19 rising gradually, the numbers counting more than 1000 people per day based on World Health Organization (WHO) data. Covid 19 is a disease caused by a virus that attacks the respiratory tract with an incubation time ranging from 5 to 14 days, to fighting this pandemic disease, the awareness of the public is the importance, one of which is the use of a hand sanitizer. The importance of health education in fighting the C0vid 19 virus among mothers is the goal of this PKM, started on the family education, due to the mother is the most importen person biside father in the household, for that the PKM targets are mothers in the complex for making Hand sanitizer. From the results of the training, it was concluded that the enthusiasm of the Citra Mas complex women was great in participating. The training started by providing information about the importance of maintaining health during a pandemic among families, how to make hand sanitizers using natural ingredients such as aloe vera, and how to packing.

Analisis Jalur dan SEM Dengan R Suwardi Annas; Irwan Irwan; Zulkifli Rais
Seminar Nasional Pengabdian Kepada Masyarakat PROSIDING EDISI 4: SEMNAS 2020
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.443 KB)

Mitra Program Kemitraan Masyarakat (PKM) ini adalah Mahasiswa Pascasarjana Universitas Negeri Muhammadiyah Pare-pare. Masalahnya adalah: (1) R sebagai software open source yang bebas lisensi belum banyak dikenal dalam lingkup, (2) Kurangnya keterampilan dalam analisis data statistika utamanya terkait analisis regresi, analisis jalur dan SEM dengan menggunakan R. Metode yang digunakan adalah: ceramah, demonstrasi, diskusi, tanya jawab, dan mitra pendamping. Hasil yang dicapai adalah (1) mitra memiliki pengetahuan software R terkait download sampai dengan instalasi perangkat lunaknya, (2) mitra memiliki pengetahuan kelebihan yang dimiliki oleh paket R, (3) mitra memiliki pengetahuan dan kemampuan menganalisis data terkait analisis jalur dan Analisis SEM dengan menggunakan R

STRUCTURAL EQUATION MODELING FOR ANALYZING THE TECHNOLOGY ACCEPTANCE MODEL OF STUDENTS IN ONLINE TEACHING DURING THE COVID-19 PANDEMIC Suwardi Annas; Ruliana Ruliana; Wahidah Sanusi
MEDIA STATISTIKA Vol 15, No 1 (2022): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.15.1.104-115

Online teaching can be a solution in the learning process during the pandemic to stop the spreading of the Covid-19 infection. Universitas Negeri Makassar (UNM) as an educational institution provided a Learning Management System (LMS) to support the online teaching and learning process with the platform name SYAM-OK. In this research, we examine the behavioral model of a student's acceptance of the use of an information system SYAM-OK in online teaching. 120 students in the sample used online teaching fully during the pandemic. The data was obtained from an online questionnaire using a google form whose contents were based on Technology Acceptance Model (TAM). The variable of TAM consists of Perceived Ease of Use, Perceived Usefulness, Attitude Towards, Behavioral Intention, and Actual Use. The Structural Equation Modeling (SEM) PLS method was used in this research for modeling the relationship between TAM variables. Based on the results of the SEM we obtained that Perceived Usefulness significantly affects the Attitude Towards and Attitude Towards significantly affects the behavioral intention. By using the bootstrapping and T statistics, we conclude that SEM has identified the significant effects between variables of TAM.

PENGEMBANGAN PAKET R UNTUK ANALISIS DISKRIMINAN BERBASIS GRAPHICAL USER INTERFACE WEB INTERAKTIF Nur Isra; Suwardi Annas; Muhammad Kasim Aidid
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 3 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Penggunaan perangkat lunak berlisensi memerlukan biaya yang relatif mahal, dan sulitnya memperoleh perangkat lunak berlisensi menjadi salah satu penyebab meningkatnya penggunaan perangkat lunak bajakan. Salah satu upaya dalam mengurangi tingkat permasalahan perangkat lunak bajakan adalah melakukan pengembangan perangkat lunak yang memiliki lisensi publik bersifat open source seperti perangkat lunak R. Penelitian ini dilakukan untuk menyusun beberapa paket yang terdapat pada perangkat lunak R yang akan memudahkan pengguna dalam melakukan analisis statistika, khususnya untuk analisis diskriminan linear. Paket pendukung R tersebut yaitu paket R-Shiny yang mampu membuat tampilan berbasis Graphical User Interface. Pengembangan paket R dalam penelitian ini menggunakan metode waterfall. Paket ini bernama Linear Discriminant Analysis Application (LDA App). Berdasarkan pengujian yang dilakukan pada LDA App menunjukkan bahwa LDA App mampu menyelesaikan analisis statistika sesuai fungsinya. Perbandingan antara LDA App dan software statistika lainnya memiliki ouput yang sama, akurat, dan lebih efisien dalam melakukan analisis diskriminan linear.

Metode Subtractive Fuzzy C-Means (SFCM) dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Kemiskinan Nurul Imania Kalla; Suwardi Annas; Muhammad Fahmuddin
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 2 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

The percentage of poor people in South Sulawesi Province has increased in the last 3 years. It is necessary to handle poverty that by adjusting to the poverty level of each district. It is necessary to have a description of socio-economic conditions by grouping regency/city based on poverty indicators. The purpose of this grouping is determining the poverty level of each district so that it can be used as material for evaluating poverty problems. The clustering method often used in research was Fuzzy C-Means (FCM). In the development, FCM was combined with the Subtractive Clustering (SC) method to obtain the hybrid Subtractive Fuzzy C-Means (SFCM) method. The SFCM method has the advantage of speed, iteration, resulting in a data partition that is more stable and accurate when it is compared to the previous method. On this research, the SFCM method was applied with 4 variables from the poverty indicator data for South Sulawesi Province in 2021. The results of the analysis show that based on the Partition Coefficient Index (PC), the percentage of poverty in South Sulawesi Province was divided into three clusters, namely the low, medium and high poverty percentage clusters. Clusters of low poverty percentage consist of Bulukumba, Bantaeng, Takalar, Gowa, Soppeng, Wajo, Sidenreng Rappang, East Luwu, Makassar City, Parepare City, and Palopo City. Clusters of medium poverty percentage consist of Sinjai, Maros, Barru, and Enrekang. Meanwhile, Clusters of high poverty percentage consist of the Selayar Islands, Jeneponto, Pangkajene and Islands, Bone, Pinrang, Luwu, Tana Toraja, North Luwu, and North Toraja

Hybrid Hierarchical Clustering dalam Pengelompokan Daerah Rawan Bencana Tanah Longsor di Sulawesi Selatan Fithriyah Azzahrah; Suwardi Annas; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 3 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

This study aims to describe and classify areas prone to landslides in South Sulawesi. The method used is Hybrid Hierarchical Clustering. The data used is landslide disaster data sourced from the National Disaster Management Agency (BNPB) for 2018-2020 in South Sulawesi. The variables used are the number of landslides, deaths, damaged houses, injured victims, and damaged public facilities. Grouping using the Hybrid Hierarchical Clustering method with mutual clusters using bottom-up and top-down methods. Grouping with bottom-up method produces 2 groups, top-down method produces 2 groups and 1 best mutual cluster. The ratio results in the bottom-up method is 0.84, the top-down method is 1.07 and the mutual cluster is 0.84. The grouping results obtained were 2 groups.

PENERAPAN ANALISIS DISKRIMINAN DALAM PENGELOMPOKAN DESA MISKIN DI KABUPATEN WAJO Suwardi Annas; Irwan Irwan
Indonesian Journal of Fundamental Sciences Vol 1, No 1 (2015)
Publisher : Universitas Negeri Makassar

Jenis penelitian ini adalah penelitian eksplorasi yang bertujuan untuk mengelompokkan objek dengan menggunakan metode pengelompokan Two Step Cluster (TSC) sebagai pengelompokan awal terhadap objek penelitian (desa/kelurahan) berdasarkan variabel pencirinya. Selanjutnya dilakukan analisis Diskriminan untuk memperjelas hasil pengelompokan dan interpretasi hasil TSC. Data sekunder y ang digunakan dalam penelitian ini berupa dokumentasi tertulis dan identifikasi peubah yang digunakan tentang desa/kelurahan di kabupaten Wajo provinsi Sulawesi Selatan adalah data Potensi Desa (PODES) tahun 2014 yaitu: X1 (jumlah penduduk), X2 (keluarga tani), X3 (keluarga buruh tani), X4 (keluarga pengguna listrik), X5 (fasilitas pendidikan), X6 (tenaga kesehatan), X7 (kematian penduduk). Objek dalam terapan penelitian ini adalah seluruh desa/kelurahan di kabupaten Wajo. Tahapan analisis data yang dilakukan yaitu (1) melakukan pengelompokan awal dengan metode TSC terhadap data-data yang diperoleh berdasarkan variabel yang ditentukan, (2) melakukan analisis Diskriminan terhadap hasil pengelompokan TSC untuk memperjelas hasil pengelompokan TSC. Hasil penelitian diperoleh bahwa desa/kelurahan yang tergolong desa miskin dengan kriteria: rendahnya persentase rumah tangga yang menggunakan listrik, rendahnya keikutsertaan penduduk usia sekolah, rendahnya kepadatan penduduk, tingkat kematian yang tinggi, banyaknya anggota rumah tangga tani, tingginya persentase rumah tangga buruh pertanian.

PENERAPAN MODEL PEMBELAJARAN KOOPERATIF DITINJAU DARI MOTIVASI TERHADAP PRESTASI BELAJAR SISWA KELAS X IPA DI SMAN 18 GOWA Nur Aisyah; Suwardi Annas; Asdar Ahmad
PINISI :Journal of Teacher Professional Vol 3, No 1 (2022): April
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/tpj.v3i1.32261

Penelitian ini bertujuan untuk mengetahui: (1) gambaran rata-rata prestasi belajar matematika siswa yang menggunakan model pembelajaran kooperatif tipe Talk Stick pada kelas X IPA (IPA) di SMAN 18 Gowa, (2) gambaran rata-rata hasil belajar matematika prestasi belajar siswa yang menggunakan model pembelajaran kooperatif tipe Example Non-Example pada siswa kelas X IPA SMAN 18 Gowa, (3) apakah ada perbedaan prestasi belajar yang signifikan antara siswa yang menggunakan model pembelajaran kooperatif tipe Talk Stick dan yang menggunakan model pembelajaran kooperatif tipe Example Non-Example pada siswa kelas X IPA di SMAN 18 Gowa, (4) apakah ada perbedaan yang signifikan skor prestasi belajar antara siswa yang memiliki motivasi tinggi, sedang, dan rendah pada siswa kelas X IPA di SMAN 18 Gowa, dan (5) apakah ada interaksi model pembelajaran kooperatif dengan motivasi terhadap prestasi belajar matematika siswa kelas X IPA di SMAN 18 Gowa. Jenis penelitian ini adalah penelitian eksperimen yang melibatkan dua kelompok eksperimen. Sampel dalam penelitian ini adalah kelas X IPA 1 sebagai kelas eksperimen 1 dan kelas X IPA 2 sebagai kelas eksperimen 2. Pengumpulan data menggunakan angket, tes, dan lembar observasi. Data dianalisis secara deskriptif dan analisis varians dua arah (ANAVA) dilanjutkan dengan uji post hoc. Hasil penelitian menunjukkan bahwa (1) rata-rata prestasi belajar matematika siswa yang menggunakan model pembelajaran kooperatif tipe Talk Stick adalah 88,7 dari nilai ideal 100 dengan kategori sangat tinggi, (2) rata-rata prestasi belajar matematika siswa. dengan menggunakan model pembelajaran kooperatif tipe Example Non-Example adalah 87,6 dari nilai ideal 100 dengan kategori sangat tinggi, (3) tidak terdapat perbedaan prestasi belajar matematika yang signifikan antara siswa yang diajar dengan model pembelajaran kooperatif tipe Talk Stick dan siswa yang diajar dengan model pembelajaran kooperatif tipe Talk Stick. Model pembelajaran kooperatif tipe Example Non-Example dengan signifikansi 0,392, (4) terdapat perbedaan prestasi belajar matematika yang signifikan antara siswa yang memiliki motivasi belajar tinggi, sedang, dan rendah dengan signifikansi 0,001. Selisih rata-rata antara motivasi belajar tinggi dan motivasi rendah adalah 14,229 pada taraf signifikansi 0,05 dengan interval 6,89 hingga 21,57, motivasi sedang dengan motivasi rendah sebesar 9 pada taraf signifikansi 0,05 dengan interval 3,66 hingga 14,34, dan (5 ) tidak terdapat interaksi model pembelajaran kooperatif dengan motivasi terhadap prestasi belajar matematika siswa kelas X IPA di SMAN 18 Gowa dengan signifikansi 0,306.

Pemodelan Regresi Data Panel terhadap Determinan Indeks Kualitas Lingkungan Hidup (IKLH) Provinsi di Pulau Sulawesi Tahun 2011-2020 Nurhamidah Mursyidin; Suwardi Annas; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 5 No. 02 (2023)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm118

Binary Logistic Regression Model of Stroke Patients: A Case Study of Stroke Centre Hospital in Makassar Suwardi Annas; Aswi Aswi; Muhammad Abdy; Bobby Poerwanto
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p161-169

This paper aimed to determine factors that affect significantly types of stroke for stroke patients in Dadi Stroke Center Hospital. The binary logistic regression model was used to analyze the association between the types of stroke and some covariates namely age, sex, total cholesterol, blood sugar level, and history of diseases (hypertension/stroke/diabetes mellitus). Maximum Likelihood Estimation was used to estimate parameters. Combinations of covariates were compared using goodness-of-fit measures. Comparisons were made in the context of a case study, namely stroke patients (2017-2020). The results showed that a binary logistic model combining the history of diseases and blood sugar level provided the most suitable model as it has the smallest AIC and covariates included are statistically significant. The coefficient estimation of the history of diseases variable is -0.92402 with an odds ratio value exp(-0.92402)=0.4. This means that stroke patients who have a history of diseases experience a reduction of 60% in the odds of having a hemorrhagic stroke compared to stroke patients that do not have a history of diseases. In other words, stroke patients who have a history of diseases tend to have a non-hemorrhagic stroke. Furthermore, the coefficient estimation of blood sugar level is 0.74395 with an odds ratio value exp(0.74395)=2. It means that stroke patients who do not have normal blood sugar levels tend to have a hemorrhagic stroke 2 times greater than stroke patients with normal blood sugar levels. A history of diseases and blood sugar level were factors that significantly affect the types of stroke.

Co-Authors Adi Rahmat Faisal Ahmad Fudhail Majid Alakbar Akbar Alin Liana Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi Asdar Ahmad Aswi, Aswi BAKHRANI RAUF Bobby Poerwanto Bobby Poerwanto Fajar Arwadi Fithriyah Azzahrah Hastuti Hastuti Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Laksono Trisnantoro Luthfiah Arradiah Mahrani Mahrani Muh Yahya Muh.Nadjib Bustan Muhammad Abdy Muhammad Fahmuddin Muhammad Fahmuddin Muhammad Kasim Aidid Muhammad Kasim Aidid Muhammad Nadjib Bustan Muharram Muharram Musdalifah Nur Aisyah Nur Isra Nurhamidah Mursyidin Nurul Fadhilah Syahrul Nurul Imania Kalla Nusrang, Muhammad P. Paramita Rahmat Hesha Safei Ridawati Ridawati Rika Nasir Ruliana Sapriani Sapriani Saripuddin D Sitti Faika Syafruddin Side Uca Sideng Wahidah Sanusi Zulkifli Rais

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