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All Journal Jambura Journal of Mathematics Jurnal Varian Variansi : Journal of Statistics and Its Application on Teaching and Research Mattawang: Jurnal Pengabdian Masyarakat JINAV: Journal of Information and Visualization Panrannuangku Jurnal Pengabdian Masyarakat ARRUS Journal of Mathematics and Applied Science ARRUS Journal of Engineering and Technology SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education Seminar Nasional Pengabdian Kepada Masyarakat VARIANSI: Journal of Statistics and Its Application on Teaching and Research Seminar Nasional Hasil Penelitian LP2M UNM ARRUS Jurnal Pengabdian Kepada Masyarakat Abdi Kimia : Jurnal Pengabdian Masyarakat SMART: Jurnal Pengabdian Kepada Masyarakat
Zulkifli Rais
Department of Statistics, Universitas Negeri Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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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

Abstract

Pelatihan Analisis Structural Equation Modelling (SEM) Bagi Dosen Universitas Patompo Ruliana, R.; Sudarmin, S.; Meliyana, Sitti Masyitah; Rais, Zulkifli
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku3398

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan dosen-dosen Universitas Patompo dalam menggunakan metode Structural Equation Modelling (SEM) untuk analisis data penelitian. Kegiatan ini dilakukan pada tanggal 18 September 2024 dan dihadiri oleh 28 dosen. Permasalahan utama yang dihadapi oleh mitra adalah kurangnya pemahaman tentang teknik analisis SEM serta minimnya keterampilan dalam menggunakan software statistika untuk analisis tersebut. Solusi yang ditawarkan berupa pelatihan intensif yang meliputi pengenalan software statistika dan penerapan SEM menggunakan software R. Hasil dari kegiatan ini menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta dalam analisis SEM.
PERBANDINGAN EFEKTIVITAS DIAGRAM KONTROL DECISION ON BELIEF DAN DIAGRAM KONTROL P PADA PENGENDALIAN KUALITAS PRODUK BATA RINGAN DI PT. BUMI SARANA BETON Asmi, Nia Nurul; Sudarmin, Sudarmin; Rais, Zulkifli
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 02 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm159

Abstract

Statistical quality control is a useful effort to monitor, control, analyze, manage, and improve products and processes using statistical methods. One of the tools used in statistical quality control is a control chart, which is a graph to show whether the performance of a process can maintain an acceptable level of quality with the aim of monitoring process shifts. P control charts and DOB control charts are diagrams used for attribute data. The DOB control chart is a new method with a Bayesian approach. Therefore, a comparison of the two control charts was carried out to determine which one had a better level of effectiveness in controlling the quality of light brick production at PT. Bumi Sarana Beton. The data used in this research is daily data on the production of light brick defects during May 2023. The results obtained are the production of light bricks at PT. Bumi Sarana Beton has not been statistically controlled using p control chart because there are four points out of control. Meanwhile, by using the DOB control chart, light brick production at PT. Bumi Sarana Beton has been statistically controlled because it did not occur out of control. Hence, the p control chart it can be said to have better effectiveness because it can detect more sensitively at 13.34% of points out of control compared to the DOB control chart on quality control of light brick products at PT. Bumi Sarana Beton
The Support Vector Machine (SVM) And Random Forest Methods For Classification Graduation Rate Ruliana; Rais, Zulkifli; Lili Maghfirah Rahma Sudirman
ARRUS Journal of Engineering and Technology Vol. 4 No. 2 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech3436

Abstract

Efforts towards an independent nation with high competitiveness can’t be separated from educational programs. Therefore, education must be able to produce quality graduates who have knowledge, master technology, and have technical skills, and adequate life skills. The timeliness of students in completing their studies is one of the supports for assessing the quality of higher education. Classification analysis can be used to predict whether a student is said to pass on time or not. Support Vector Machine (SVM) and Random Forest methods are part of the classification method. SVM and Random Forest classification analysis is done by using historical data alumni from FMIPA UNM of the graduation year 2019-2020 which come from the Administration, Academic and Student Affair Bureau of UNM. SVM accuracy level of RBF kernel with optimum value C = 1 and gamma = 1 is 68% and Random Forest accuracy with optimum value m = 2 and k = 500 is 72%. Therefore, the best method for determining the accuracy of the study duration of FMIPA UNM students is Random Forest..
Applied of the Self-Organizing Maps (SOM) Method for Clustering Educational Equity in South Sulawesi Gunawan, Andi Restu; Sudarmin, Sudarmin; Rais, Zulkifli
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2607

Abstract

This research aims to group regencies/cities based on education indicators and identify the characteristics of each group formed based on education indicators. The method used in this research is Self self-organizing map (SOM). SOM is an artificial neural network that requires no assumptions and a method that produces a representation of the input space from low-dimensional training samples. The data used in this research are 9 variables regarding pure enrollment rates, gross enrollment rates, and student-to-teacher ratios at each level of education in 24 districts/cities in South Sulawesi in 2020-2021 which come from BPS publications. Based on the results obtained, 4 clusters were formed, each of which had its characteristics. The clusters formed include Cluster 1 consisting of 7 regencies/cities, cluster 2 consisting of 10 regencies/cities, cluster 3 consisting of 4 regencies/cities, and Cluster 4 consisting of 2 regencies. Based on the results of cluster validation using the Dunn index, 4 optimal clusters were obtained with a value of 0.42.
Implementation of the Support Vector Regression (SVR) Method in Inflation Prediction in Makassar City Ruliana, Ruliana; Rais, Zulkifli; Marni, Marni; Ahmar, Ansari Saleh
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2608

Abstract

Inflation is an important economic indicator, the growth rate is always kept low and stable. One step to deal with the possibility of a high inflation rate is to know the picture of the inflation rate in the future by making predictions. Prediction is a method used to determine a value or need in the next period. Support Vector Regression (SVR) is a development of the Support Vector Machine (SVM) method which is used for regression cases which can handle non-linear data cases. The problem that often occurs when using the SVR method is determining optimal model parameters. One way to determine the best parameters for the SVR method is to use Grid Search Optimization. The stages of the SVR method include data normalization, dividing training data and testing data, using the Radial Basis Function kernel, selecting the best parameters using Grid Search Optimization, and making predictions using the best model obtained with parameters γ = 10, ∁ = 100, and ε. = 0.1 with k = 5. The prediction results obtained were then evaluated by looking at the RMSE value, the RMSE value obtained was 0.029, which means the model's ability to follow the data pattern well and the prediction results made were very good.
Pengenalan Masa Puberitas Pada Peserta Didik Sekolah Dasar Nurdin, Nurdin; Yusal, Muh. Sri; Nur, Surahman; Rasjid, Yusniar; Rais, Zulkifli
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2023)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku1764

Abstract

Counseling on menarche and puberty for students of SD Negeri 1 Mattoanging Makassar. This activity aims to: 1. Conduct counseling about the period of marache and puberty, as well as the effect of nutritional intake on menstruation for students as material for additional knowledge for students when facing metabolic changes in their bodies. 2. Changes that occur after experiencing marache or menstruation. 3. How to overcome the problems faced by the body when menstruation occurs.
Pelatihan Software R Bagi Dosen Universitas Al-Syariah Mandar Annas, Suwardi; Nusrang, Muhammad; Irwan, Irwan; Rais, Zulkifli; Ruliana, Ruliana
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2023)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku1810

Abstract

This Community Partnership Program (PKM) partner is a lecturer at FKIP Al-Syariah Mandar University. The problems are: (1) R as an open source software that is free of the license is not widely known in scope, (2) Lack of skills in statistical data analysis mainly related to regression analysis, path analysis, and SEM using R. The methods used are lectures, demonstrations, discussions, questions and answers, and co-partners. The results achieved are (1) partners have R software knowledge related to downloading and installing the software, (2) partners have superior knowledge possessed by the R package, (3) partners have knowledge and ability to analyze data related to path analysis and SEM analysis with using R.
Empowering the Manimbahoi Village Community through Digital Marketing Training: Pemberdayaan Masyarakat Desa Manimbahoi melalui Pelatihan Digital Marketing Ahmar, Ansari Saleh; Rais, Zulkifli; Bakri, Rizal; Asmar, Asmar
Mattawang: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang3049

Abstract

This training was held in the Manimbahoi Village Meeting Room, Parigi District, Gowa Regency, South Sulawesi Province on August 31, 2023. Participants in this training were young people from Karang Taruna, with the aim that the community, especially young people in Manimbahoi Village, could understand the importance of digital marketing as an effort to market Manimbahoi coffee products not only in the Parigi District area but also to the National area. This community service activity went smoothly and as expected. The results of this service show that there has been an increase in the abilities and knowledge of the village community from not knowing to knowing about digital marketing for coffee marketing. Abstrak Pelatihan ini dilaksanakan di Ruang Pertemuan Desa Manimbahoi, Kecamatan Parigi, Kabupaten Gowa, Provinsi Sulawesi Selatan pada tanggal 31 Agustus 2023. Peserta dari pelatihan ini adalah pemuda karang taruna, dengan tujuan warga masyarakat khususnya pemuda di Desa Manimbahoi dapat memahami tentang pentingnya digital marketing sebagai upaya untuk memasarkan produk kopi Manimbahoi bukan hanya di daerah Kecamatan Parigi tetapi bisa ke kawasan Nasional. Kegiatan pengabdian ini berjalan lancar dan sesuai dengan yang diharapkan. Hasil dari pengabdian ini, terlihat bahwa terjadi peningkatan kemampuan dan pengetahuan masyarakat desa dari tidak tahu menjadi tahu tentang digital marketing untuk pemasaran kopi.
Algoritma K-Prototype dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Kesejahteraan Rakyat Tahun 2020 Rais, Zulkifli; Annas, Suwardi; Muhammad Refaldy
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 03 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm20

Abstract

Clustering is something that is used to analyze data both in machine learning, data mining, pattern engineering, image analysis and bioinformatics. To produce the information needed for a data analysis using the clustering process, this is because the data has a large variety and amount. Researchers will use the K-Prototype method where this method becomes an efficient and effective algorithm in processing mixed-type data. The K-Prototype algorithm has problems in finding the best number of clusters. So, in this paper, researchers will conduct research by finding the best number of clusters in the K-Prototype method. There are many ways to determine this, one of which is the Elbow method. The determination of this method is seen from the SSE (Sum Square Error) graph of several number of clusters. The results of the clustering formed 2 clusters which were considered optimal based on the value of k that experienced the greatest decrease. The results showed that, cluster 1 is a cluster that has characteristics of people's welfare which is better than cluster 2.
Co-Authors A. Bida Purnamasari Ahmar, Ansari Saleh Annas, Suwardi Asmar Asmar, Asmar Asmi, Nia Nurul Aswi, Aswi Fahmuddin, Muh. Ferigo Taufani Tri Hakiki Fithriyah Azzahrah Gunawan, Andi Restu Hardianti Hafid Irwan Irwan Irwan Irwan Irwan Irwan Isnaeni R Jiran Julita Karunia Rahayu Ayu Lili Maghfirah Rahma Sudirman Marni Marni, Marni Mar’ah, Zakiyah Misveria Villa Waru Muh. Hizbul Zainul Muttaqim Muhammad Arif Tiro Muhammad Fahmuddin Muhammad Fahmuddin Muhammad Kasim Aidid Muhammad Kasim Aidid Muhammad Refaldy Nurdin Nurdin Nurhamidah Mursyidin Nurtiwi Nurtiwi Nurul Madany Nusrang, Muhammad Rahmat Hesha Safei Rezky Novita Said Riska Aprianti Rizal Bakri Ruliana Ruliana Ruliana Ruliana, Ruliana Ruliana, R. Rusdianto S. Sudarmin, S. Sitti Masyitah Meliyana R. Sudarmin Sudarmin Sudarmin Sudarmin Surahman Nur, Surahman Suwardi Annas Uca Sideng Yusal, Muh Sri Yusniar Rasjid Yusniar Rasjid, Yusniar Zakiyah Mar'ah