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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

Author-ID : 2514014

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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Improving the Life Skills of Students of SMK Negeri 1 Barru through Training in Making Liquid Organic Fertilizers: Peningkatan Life Skill Siswa SMK Negeri 1 Barru melalui Pelatihan Pembuatan Pupuk Organik Cair Yusniar Rasjid; Zulkifli Rais; A. Bida Purnamasari; Rusdianto
Mattawang: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

The purpose of this activity is to seek to develop skills and abilities in the manufacture of liquid organic fertilizers as an effort to reduce environmental pollution caused by household waste and industrial waste. Lack of skills in making organic liquid fertilizer from household waste for students is the driving force for the implementation of this training activity. For this reason, this activity will provide training on how to make liquid organic fertilizer from household waste and rotten fruits. The results achieved were in the form of knowledge and skills on how to make organic liquid fertilizer from household waste and rotten fruits by involving students at school. This can be seen from the results of the participants' independent work in producing the final product in the form of liquid organic fertilizer. These students' skills can be seen from the results of independent work in forming attractive and beautiful horticulture plants. The results of the activity are also in the form of enthusiasm and enthusiasm of the students/training participants which can be seen from the presence of the participants and interest in the practice of making organic liquid fertilizer from waste. Abstrak: Tujuan kegiatan ini yaitu hendak mengupayakan pengembangan keterampilan dan kemampuan dalam pembuatan pupuk organik cair sebagai upaya mengurangi pencemaran lingkungan akibat limbah rumah tangga dan limbah industri. Kurangnya keterampilan dalam membuat pupuk cair organik dari limbah rumah tangga bagi siswa menjadi pendorong pelaksanaan kegiatan pelatihan ini. Untuk itu, kegiatan ini akan memberikan pelatihan cara pembuatan pupuk organik cair dari limbah yang berasal dari rumah tangga dan buah-buahan yang busuk. Hasil yang dicapai berupa pengetahuan dan keterampilan cara membuat pupuk cair organik dari limbah rumah tangga dan buah-buahan busuk dengan melibatkan siswa-siswa di sekolah. Hal tersebut tampak dari hasil kerja mandiri peserta dalam menghasilkan produk akhir berupa pupuk organik cair. Keterampilan siswa tersebut tampak dari hasil kerja mandiri dalam membentuk tanaman vertikultur yang menarik dan indah. Hasil kegiatan juga berupa antusiasme dan semangat siswa/ peserta pelatihan yang tampak dari kehadiran peserta dan ketertarikan dalam praktek pembuatan pupuk cair organik dari limbah.

Using k-Means and Self Organizing Maps in Clustering Air Pollution Distribution in Makassar City, Indonesia Suwardi Annas; Uca Uca; Irwan Irwan; Rahmat Hesha Safei; Zulkifli Rais
Jambura Journal of Mathematics Vol 4, No 1: January 2022
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Air pollution is an important environmental problem for specific areas, including Makassar City, Indonesia. The increase should be monitored and evaluated, especially in urban areas that are dense with vehicles and factories. This is a challenge for local governments in urban planning and policy-making to fulfill the information about the impact of air pollution. The clustering of starting points for the distribution areas can ease the government to determine policies and prevent the impact. The k-Means initial clustering method was used while the Self-Organizing Maps (SOM) visualized the clustering results. Furthermore, the Geographic Information System (GIS) visualized the results of regional clustering on a map of Makassar City. The air quality parameters used are Suspended Particles (TSP), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Surface Ozone (O3), and Lead (Pb) which are measured during the day and at night. The results showed that the air contains more CO, and at night, the levels are reduced in some areas. Therefore, the density of traffic, industry and construction work contributes significantly to the spread of CO. Air conditions vary, such as high CO levels during the day and TSP at night. Also, there is a phenomenon at night that a group does not have SO2 and O3 simultaneously. The results also show that the integration of k-Means and SOM for regional clustering can be appropriately mapped through GIS visualization.

K-Prototypes Algorithm for Clustering The Tectonic Earthquake in Sulawesi Island Suwardi Annas; Irwan Irwan; Rahmat H Safei; Zulkifli Rais
Jurnal Varian Vol 5 No 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i2.1908

Natural disasters that had occurred in Indonesia consist of hydro-meteorology: floods, droughts, and landslides, geophysical: volcanic earthquakes and volcanic eruptions, and biological: epidemics. Regarding the tectonic earthquake on Sulawesi Island, there are at least 2 earthquake disasters that became national disasters, namely in Central Sulawesi and West Sulawesi in the range of 2017 to 2021. This study aims to cluster tectonic earthquakes on Sulawesi Island, from 2017 to 2020, as the basis for formulating disaster mitigation plans. This study used tectonic earthquake data from 2017 to 2020 obtained from BMKG Gowa, Indonesia. The variables used are magnitude, depth, and distance category. Because they are mixed variables, this study used a k-prototype algorithm. There are four clusters in 2017, six clusters in 2018, five clusters in 2019, and six clusters in 2020 based on the ratio of within-cluster distance against between-cluster distance. It can be related to the active fault on Sulawesi Island. The characteristics of clusters form each year are the greater magnitude of the earthquake, the deeper of deep and the category distance is dominated by the regional level.

Sentiment Analysis of Peduli Lindungi Application Using the Naive Bayes Method Zulkifli Rais; Ferigo Taufani Tri Hakiki; Riska Aprianti
SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education Vol. 11 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/sainsmat794

Peduli Lindung application as a form of government policy in the context of handling Covid-19. The level of usability in an application is really needed to see the usefulness of the application itself. The analysis is carried out in the form of a fine-grained sentiment analysis based on a five-star review. Models used in conducting the analysis in this study using Naïve Bayes. Data used in get it through Google Play Store until April 2022. Rating 1 has the most number from other ratings, namely as many as 467 reviews and rating 4 has the lowest number, namely 55 reviews. The data is classified as negative as many as 146 data, a lot of data are classified as negative classified as true positive as many as 30 data, and data classified as neutral as many as 30 data, with classification accuracy still at 73%. The results obtained by the community tend to show words that refer to the problems that exist in the application.

Pengelompokan Daerah Penyebaran Demam Berdarah Dengue Alam Dengan Menggunakan Algoritma K-Means Di Kota Makassar Zulkifli Rais; Misveria Villa Waru
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 2 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm25657

This study proposes the k-means method to map the endemic areas of dengue fever in the city of Makassar. Data were obtained from the health department based on the number of patients affected by dengue hemorrhagic fever (DHF) in every sub-district in Makassar City. The k-means method has mapped the area into 3 groups. These results indicate that group 1, which is the area that has the highest number of DHF sufferers, is Rappocini, Panakukang, and Manggala villages. Furthermore, Tamalate and Biringkanaya villages are members of group 2. And group 3 is an area that has a low number of dengue patients, namely Mamajang, Makassar, Tamalanrea, Mariso, Ujung Pandang, Bontoala, Tallo, Ujung Tanah, Wajo. Keywords: k-means, dengue hemorrhagic fever (DHF)

MODEL HIBRIDA DEKOMPOSISI-ARIMA UNTUK PERAMALAN INFLASI DI KOTA MAKASSAR Muhammad Fahmuddin; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 2 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm23889

Forecasting is an art and predicting science about future events. Forecasting could be basic for short-term, mid-term, and long-term planning. The aim of this study is to create a hybrid decomposition model - ARIMA to forecast inflation data in Makassar City. The decomposition method is used for decomposition the inflation data into trend components, seasonal, and random. Furthermore, the decomposition method could be used to forecasting the tren component dan seasonal. Whereas, the ARIMA method was used to forecasting the random component. The result of this study shows ARIMA model used for forecasting the random component is ARIMA (0,0,[3]) with an AIC score of 171,6973Keywords: Decomposition, ARIMA, inflation

Pendekatan persamaan struktural pada model regresi error spasial (Kasus: PDRB Sulawesi Selatan) Muhammad Kasim Aidid; Zulkifli Rais; Muhammad Fahmuddin S
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 3 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm26380

The spatial autocorrelation model studied in the framework of structural equations is the spatial error regression model. The results of this study are applied to South Sulawesi's Gross Regional Domestic Product (GRDP) data. For parameter estimation using open source software Mx. To implement the spatial error model in SEM, two new sets of weighted spatial variables need to be formed, namely W based on the dependent variable (PW) and ηW based on the independent variable (PW) and ξW based on the independent variable (QW). Since in the case of the latent model, the variables P and Q cannot be observed directly, then ηW and ξW are directly defined by the observation variables (indicators) Y yW and Y xW which are related to each other as Yy and Yx to η and ξ. obtained a model that represents the spatial error in SEM. By using South Sulawesi GRDP data where y represents the per capita GRDP in the Regency/City, x1 and x2 respectively represent the value of the Mining sector and the building sector in the Regency/City. XW1 represents first-order contiguity spatially lagged for trade and XW2 represents first-order contiguity spatially lagged for agriculture. yW denotes spatially lagged first-order contiguity for GRDP. (1−λ)γ0 represents the unit variable coefficient. From the model it can be stated that GRDP (y) is influenced by several sectors in the economy such as mining (x1) and building (x2). In addition, there is a location effect (Spatial Effect) that affects the GRDP in South Sulawesi. Based on the final results obtained, it is known that λ = 0,16 which indicates that there is a dependency on the GRDP data in South Sulawesi in 2008 between one district/city and another district/city based on the spatial correction. Areas that are centers of mining and construction in South Sulawesi are mutually dependent, causing dependence on GRDP data, this can be seen in the positive covariance value between mining lagged, and building lagged, and lagged GRDPKeywords: Effect Spatial, Error Spatial, SEM, GRDP

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

ANALISIS SUPPORT VECTOR REGRESSION (SVR) DENGAN KERNEL RADIAL BASIS FUNCTION (RBF) UNTUK MEMPREDIKSI LAJU INFLASI DI INDONESIA Isnaeni R; Sudarmin Sudarmin; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 1 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Inflation is one indicator that affects the economic growth of a country. As a developing country, Indonesia has an unstable inflation rate every year. Therefore, it is necessary to predict the inflation rate in the future to be useful for formulating future economic policies. SVR is a Support Vector Machine (SVM) development for regression cases. In the SVR method, the RBF kernel is used as an aid in solving non-linear problems, the Min-Max Normalization method for data normalization, distribution of training data and testing data, selecting the best model with Grid Search Optimization, then forecasting using the model obtained with parameter = 0,1, C = 1, and = 3. The forecasting results obtained were evaluated by looking at the RMSE value, the test value obtained was RMSE of 0.0020, which means the model's ability to follow the data pattern well

Regresi Data Panel dan Aplikasinya dalam Kinerja Keuangan terhadap Pertumbuhan Laba Perusahaan Idx Lq45 Bursa Efek Indonesia Nurul Madany; Ruliana Ruliana; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 2 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Regression is a statistical analysis that shows the relationship between one bound changer and one or more free changers. In the development of regression analysis, which can not only be observed at one time but can be observed in several time periods known as panel data regression. In conducting the regression analysis of panel data, there are three tests carried out to select a fixed model, namely the chow test, the Hausman test, and the pagan breucsh test. This study aims to see the influence of free variables, namely roa, roe, and npm on bound variables, namely company profit growth. The implementation of the method is carried out in the case of data on the financial performance of the LQ45 company and the growth of the company's profit LQ45. The result of the panel data regression modeling, namely the fixed effect model, is that financial performance has a significant effect on the company's profit growth whereas in the financial performance indicators the roa variable has a positive and significant influence and has a presentation that explains the free variables, namely roa, roe, and npm, on profit growth of the remaining 21% explained by other variables.

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

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