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All Journal SAINSMAT CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Varian Inferensi Jurnal Darma Agung Quantitative Economics and Management Studies Panrannuangku Jurnal Pengabdian Masyarakat Parameter: Journal of Statistics Journal of Mathematics: Theory and Applications SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam VARIANSI: Journal of Statistics and Its Application on Teaching and Research English Language, Linguistics, and Culture International Journal (ELSTIC-IJ) Ininnawa: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Dies Natalis Universitas Negeri Makassar Jurnal Pengabdian Masyarakat Indonesia Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) SMART: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) JAMP
Hardianti Hafid
Universitas Negeri Makassar
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Optimalisasi Media Sosial Sanggar Seni Budaya Saorajae Sulawesi Selatan Melalui Pemanfaatan Canva Sebagai Aplikasi Desain Grafis Hafid, Hardianti; Meliyana, Sitti Masyitah; Pratama, Muh. Isbar; Hamka, Rezky Amalia
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 1 (2023): Volume 02 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v2i1.134

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan pada anggota Sanggar Seni Budaya Saorajae tentang penggunaan aplikasi Canva dalam mempromosikan karya seni dan budaya. Sanggar Seni Budaya Saorajae adalah salah satu lembaga seni dan budaya di Indonesia yang berperan penting dalam melestarikan seni dan budaya lokal. Namun, promosi kegiatan seni dan budaya masih terbatas dan kurang efektif karena minimnya penggunaan media sosial dan desain grafis yang menarik. Oleh karena itu, kegiatan ini bertujuan untuk mengoptimalkan penggunaan media sosial Sanggar Seni Budaya Saorajae melalui pemanfaatan Canva sebagai aplikasi desain grafis. Metode yang digunakan dalam kegiatan ini meliputi studi literatur, identifikasi kebutuhan, pelatihan penggunaan Canva, implementasi, dan evaluasi. Pengelola dan seniman di Sanggar Seni Budaya Saorajae dilatih untuk menggunakan Canva dalam membuat desain grafis yang menarik dan kreatif untuk mempromosikan kegiatan seni dan budaya di media sosial. Evaluasi dilakukan untuk mengukur efektivitas penggunaan Canva dalam mempromosikan seni dan budaya di media sosial. Hasil kegiatan menunjukkan bahwa penggunaan Canva sebagai aplikasi desain grafis dapat meningkatkan efektivitas promosi seni dan budaya di media sosial. Para pengelola dan seniman di Sanggar Seni Budaya Saorajae dapat membuat desain grafis yang menarik dan kreatif dengan mudah menggunakan fitur-fitur Canva. Selain itu, penggunaan Canva juga membantu menghemat waktu dan biaya dalam pembuatan desain grafis. Sehingga kegiatan ini menunjukkan bahwa pemanfaatan Canva sebagai aplikasi desain grafis dapat membantu Sanggar Seni Budaya Saorajae dalam mengoptimalkan penggunaan media sosial untuk mempromosikan seni dan budaya secara lebih efektif dan kreatif.
Epidemiological Mapping Of Tuberculosis In South Sulawesi Using Local Indicators Of Spatial Association (LISA) And K-Means Clustering Mar'ah, Zakiyah; Hafid, Hardianti; Meliyana R, Sitti Masyitah
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141665022025

Abstract

Spatial statistics is a statistical approach that links data to the location of events. The most basic way to test whether data can be analyzed using spatial statistics is to find the spatial dependence. Local spatial dependence is tested using Local Indicators of Spatial Association (LISA). This research aims to use a form of LISA, Local Moran, to cluster and map epidemiological data, the number of tuberculosis (TB) cases in South Sulawesi. The novelty of this research is that the mapping of TB infectious disease in South Sulawesi was carried out using Local Moran, as well as clustering area using K-Means. The distribution pattern of TB cases in South Sulawesi tended to be clustered and the areas that had significant spatial dependency were Makassar, Maros and Takalar. The positive Moran value in Makassar shows that the characteristics of TB cases in Makassar tended to be similar to its neighbor. Meanwhile, the negative Moran values in Maros and Takalar indicates that the characteristics of TB cases in both areas were not similar to their neighbors. The result of K-Means shows that the areas with the highest number of TB cases in South Sulawesi were Bone, Gowa and Makassar.
Membangun Budaya Literasi Akademik: Sosialisasi Penulisan Karya Tulis Ilmiah bagi Siswa SMA Negeri 5 Bantaeng Meliyana R, S.Pd, M.Si, Sitti Masyitah; Isma Muthahharah; Zakiyah Mar’ah; Muh. Isbar Pratama; Hardianti Hafid
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): Vol. 3 No. 1 (2025): Volume 03 Nomor 01 (April 2025)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ininnawa.v3i1.8207

Abstract

Scientific writing skills are essential competencies that high school students must acquire as part of strengthening academic literacy. However, observations at SMA Negeri 5 Bantaeng revealed that most students lack a solid understanding of scientific writing concepts and techniques. This community service program aimed to provide socialization and training on scientific writing to improve students’ academic literacy. The program involved several stages: pretest, material delivery, workshops, group discussions, writing assistance, result presentations, and posttest. The results showed a significant improvement in students' understanding, evidenced by a 30-point increase in posttest scores. Additionally, participants' enthusiasm and positive feedback from both students and teachers indicated that the activity was relevant and beneficial. This program is expected to contribute to fostering a scientific writing culture among high school students.
Epidemiological Mapping Of Tuberculosis In South Sulawesi Using Local Indicators Of Spatial Association (LISA) And K-Means Clustering Mar'ah, Zakiyah; Hafid, Hardianti; Meliyana R, Sitti Masyitah
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141665022025

Abstract

Spatial statistics is a statistical approach that links data to the location of events. The most basic way to test whether data can be analyzed using spatial statistics is to find the spatial dependence. Local spatial dependence is tested using Local Indicators of Spatial Association (LISA). This research aims to use a form of LISA, Local Moran, to cluster and map epidemiological data, the number of tuberculosis (TB) cases in South Sulawesi. The novelty of this research is that the mapping of TB infectious disease in South Sulawesi was carried out using Local Moran, as well as clustering area using K-Means. The distribution pattern of TB cases in South Sulawesi tended to be clustered and the areas that had significant spatial dependency were Makassar, Maros and Takalar. The positive Moran value in Makassar shows that the characteristics of TB cases in Makassar tended to be similar to its neighbor. Meanwhile, the negative Moran values in Maros and Takalar indicates that the characteristics of TB cases in both areas were not similar to their neighbors. The result of K-Means shows that the areas with the highest number of TB cases in South Sulawesi were Bone, Gowa and Makassar.
Sosialisasi Penggunan Media Video Animasi dalam Pembelajaran Guru SD Inpres 12/79 Watampone Hafid, Abd.; rosmalah, Rosmalah; Dh, Satriani; Hafid, Hardianti
SMART: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2025): April
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/smart.v5i1.71919

Abstract

The purpose of this community service activity is to enhance the pedagogical competence of teachers at SD Inpres 12/79 Biru 1 through the use of animated video media in teaching. This activity involved teachers from SD Inpres 12/79 Biru 1 as participants in a socialization session conducted by the Community Service Team. The session covered the concept of animated video media, steps for its implementation in the classroom, and examples of how it can be used in elementary school subjects. During the session, participants were provided with a guidebook on how to use animated video media, enabling them to gain a clear understanding and be inspired to apply it in their own teaching. The results of the activity received positive feedback, as participants gained knowledge on how to use animated video media, which can help improve their pedagogical skills, particularly in designing and utilizing media that aligns with learning objectives. This ultimately motivates students, increases their interest and engagement, and improves academic achievement. The conclusion of this activity is that participants gained practical knowledge about animated video media that can be used to motivate students, enhance their interest, and improve learning outcomes.AbstrakTujuan kegiatan pengabdian masyarakat ini adalah untuk meningkatkan kompetensi pedagogik guru di SD Inpres 12/79 Biru 1 menggunakan media video animasi dalam pembelajaran, kegiatan ini melibatkan guru-guru SD Inpres 12/79 Biru 1 sebagai peserta sosialiasasi yang dilaksanakan oleh tim Pengabdian Kepada Masyarakat. Sosialisasi ini mencakup pemahaman konsep media video animasi, langkah-langkah penggunaan dalam pembelajaran, dan penayangan contoh penggunaan media animasi dalam pembelajaran mata Pelajaran di Sekolah Dasar. Selama sosialisasi, peserta diberikan file pedoman penggunaan media video animasi, sehingga peserta memperoleh pemahaman dan dapat menginspirasi untuk menggunakannya dalam pembelajaran. Hasil kegiatan mendapat respon positif memperoleh pengetahuan penggunaan media video animasi karena dapat membantu meningkatkan kemampuan pedagogik mereka yaitu merancang dan menggunakan media video animasi sesuai tujuan pembelajaran di SD sehingga siswa dapat termotivasi, berminat, aktif, dan berprestasi. Kesimpulan kegiatan ini adalah peserta memperoleh ilmu pengetahuan praktis tentang media video animasi yang dapat digunakan dalam pembelajaran untuk memotivasi, meningkatkan minat, dan hasil belajar siswa.
A Seasonal ARIMA (SARIMA) Model for Forecasting Domestic Passenger Traffic at Sultan Hasanuddin Airport Meliyana, Sitti Masyitah; Hafid, Hardianti; Mar'ah, Zakiyah; Muthahharah, Isma
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3935

Abstract

The growth of the domestic aviation industry in Indonesia has led to a significant increase in passenger numbers, particularly at major airports such as Sultan Hasanuddin Airport. Accurate forecasting of passenger traffic is essential for effective planning and resource allocation. This study aims to develop a suitable time series model to forecast the number of domestic air passengers departing from Sultan Hasanuddin Airport. Using monthly passenger data from January 2019 to April 2024 obtained from the Indonesian Badan Pusat Statistik (BPS), the Seasonal Autoregressive Integrated Moving Average (SARIMA) model was applied. The modelling process followed the Box-Jenkins methodology, involving data exploration, stationarity testing, model identification, parameter estimation, diagnostic checking, and model validation. Among several candidate models, the ARIMA (0,1,1)(0,0,1)12 model was identified as the most appropriate, producing normally distributed, independent residuals and yielding a Mean Absolute Percentage Error (MAPE) of 4.5%. The results demonstrate that the SARIMA model provides a reliable tool for forecasting short-term domestic passenger flows at the airport.
Implementation K-Medoids Algorithm for Clustering Indonesian Provinces by Poverty and Economic Indicators Hafid, Hardianti; Meliyana, Sitti Masyitah; Muthahharah, Isma; Mar’ah, Zakiyah
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3940

Abstract

Regional development disparities in Indonesia remain one of the main challenges in formulating national development policies. This study aims to classify the 38 provinces in Indonesia based on four key indicators: the percentage of the population living in poverty, Gross Regional Domestic Product (GRDP) per capita, the open unemployment rate, and the Human Development Index (HDI), using the K-Medoids algorithm. This method was chosen due to its robustness to outliers and its ability to produce representative clusters. The data used are secondary data obtained from the Central Bureau of Statistics (BPS). The analysis process began with data standardization, determination of the optimal number of clusters using the Elbow and Silhouette methods, followed by clustering implementation and result interpretation. The analysis results identified four main clusters with distinct socioeconomic characteristics. Cluster 1 reflects provinces with moderate conditions, Cluster 2 represents more developed provinces, Cluster 3 highlights regions facing significant development challenges, and Cluster 4 consists of provinces with the most underdeveloped socioeconomic conditions. These findings indicate that the K-Medoids algorithm is effective in identifying inter-provincial disparity patterns and can serve as a foundation for formulating more targeted and inclusive development policies.
SPATIAL AUTOREGRESSIVE MODEL (SAR) AND SPATIAL ERROR MODEL (SEM) MODELING ON LIFE EXPECTANCY DATA IN SOUTH SULAWESI PROVINCE 2022 Ayu Pebriyanti; Hafid, Hardianti; Sudarmin
Parameter: Journal of Statistics Vol. 5 No. 1 (2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2025.v5.i1.17397

Abstract

Spatial regression is a development of classical linear regression which takes into account the spatial or spatial effects of the data being analyzed. The Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM) methods include spatial regression models show that spatial effects on response variables and predictor variables. This research aims to model the factors that influence life expectancy in South Sulawesi Province in 2022. The analysis method used in this research is the SAR and SEM methods. The results show that based on the Lagrange Multiplier test values, there are lag and error dependencies. Based on the research results, it was found that the SAR and SEM models each had Akaike’s Information Criterion (AIC) values of 94.0069 and 90.6410, so the best model for analyzing the influence life expectancy value was the SEM model because the smallest had Akaike’s Information Criterion (AIC) value was obtained. The factors that have a significant influence on life expectancy are average years of schooling and gross regional domestic product which have a positive effect. Then, the percentage of poor population and per capita expenditure have a negative effect.
IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE Hafid, Hardianti; Annisa, Selvi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp465-476

Abstract

Hypertension is a serious concern because of its significant impact on public health, especially in the context of lifestyle changes and specific health conditions. One method for grouping patients based on complex clinical data is the Clustering method. This research type is quantitative, namely taking or collecting the necessary data and then analyzing it using the K-Medoids and K-Prototypes methods. The K-Medoids method is more resistant to outliers and noise than the K-Means method, which is more suitable for this research. The K-Prototypes method can handle mixed numerical and categorical data, effectively grouping hypertensive patients based on different variable categories. This research used the K-Medoids and K-Prototypes grouping methods to categorize patients into risk categories based on gender, age, family history of hypertension, smoking status, pulse rate, and increased systolic and diastolic blood pressure. The Elbow and Silhouette Coefficient methods were applied to evaluate the data and determine the optimal number of clusters for dividing patients into low-risk and high-risk hypertension groups. The analysis revealed that two clusters are the optimal solution. The clustering results show K-Medoids' superiority in grouping data with higher Silhouette Coefficient values ​​compared to K-Prototypes. Overall, the K-Medoids and K-Prototypes algorithms can detect early hypertension risk by dividing patients into different risk groups. Although the clustering results are still weak, these two methods show potential in helping health institutions identify and treat hypertension risk in Indonesia.
Implementation of Random Forest Algorithm for Shallot Price Forecasting in Makassar City Hardianti Hafid; Arwini Arisandi; Reski Wahyu Yanti
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9477

Abstract

This study aims to implement the Random Forest algorithm for forecasting shallot prices in Makassar City using monthly historical data from January 2018 to December 2024, obtained from the Statistics Indonesia (Badan Pusat Statistik) of South Sulawesi Province. The analysis begins with identifying significant lags through the Partial Autocorrelation Function (PACF) plot, resulting in seven input variable schemes. Each scheme was tested using training and testing datasets. Model performance was evaluated using the Mean Absolute Percentage Error (MAPE). The results show that Scheme 1 (Lag 1) achieved the best performance with a MAPE value of 13.08%, which falls into the “good” category. Price forecasts for January–December 2025 using the best scheme indicate a price range of IDR 23,200 – 24,300 per kilogram, with peak prices in March, July, and November, and the lowest prices in April, August, and December. Although the model successfully captures historical price patterns, real-world fluctuations driven by seasonal factors, supply disruptions, and distribution costs may cause prediction deviations. This study recommends integrating exogenous variables and real-time data to improve forecasting accuracy and support local food price stabilization policies.
Co-Authors Abd. Hafid Abdul Rahman Ahmad Yasir Aras Ahmar, Ansari Saleh Arwini Arisandi Awaluddin Muin Ayu Pebriyanti Bungatang DH, Satriani Fahmuddin S., Muhammad Fahmuddin, Muhammad Fahmuddin, Muhammad Hafid, Abd. Haryono, Andri Herdawati, Herdawati Isma Muthahharah Mar'ah, Zakiyah Mar’ah, Zakiyah Meliyana R, S.Pd, M.Si, Sitti Masyitah Meliyana R, Sitti Masyitah Meyliana, Sitti Masyitah Moeh Zainal Khairul Muh. Fahmuddin Muhammad Fahmuddin S Muhammad Isbar Pratama Muhammad Nusrang Muhammad Nusrang Muhammad Yusuf Muhsin Efendi Muthahharah, Isma Muthahharah, Isma Mutiara Nur Agus Salim, Nur Agus Nuramaliyah, Nuramaliyah Nusrang, Muhammad Nusrang, Muhammad Rahmanda, Lalu Ramzy Rahmat H. S. Rahmat Hidayat Rais, Zulkifli Reski Wahyu Yanti Rezky Amalia Hamka Rezky, Akhmad Rezky Ramadhana T Risqi, Shopia Rosmalah Rosmalah Rosmalah Rosmalah, Rosmalah Ruliana Rustam, Sitti Nail Safitri, Emeylia Satriani DH Selvi Annisa Siswahyudianto Sitti Masyitah Meliyana R. Sitti Nailah Rustam Sudarmin Yati Samsyuddin Yeni Rahkmawati Zakiyah Mar'ah Zakiyah Mar’ah Zulkifli Rais