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Pembelajaran Matematika Melalui Metode Bermain Erawaty, Nur; Thoha, Syamsuddin; B., Hasmawati; Kasbawati, Kasbawati; Aris, Naimah; Sirajang, Nasrah; Sahriman, Sitti; Anwar, Andi M.; Aidawayati, Aidawayati; Jusmawati, Jusmawati; Saputra, Edy
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 (381.788 KB) | DOI: 10.36339/je.v3i2.201

Abstract

The achievement of Mathematics contestants from the City of Makassar is very concerning. In March 2018 elementary school mathematics competition was held. Of the 186 participants from Makassar, there were only 56 students who got scores above zero. Only about 30%. Other students get zero or less than zero (negative). There was a decrease in interest and achievement in Mathematics in elementary school students in Makassar. The solution offered was training for Mathematics Elementary School teachers by emphasizing learning method with playing. This is intended so that children have enjoyed Mathematics from the beginning so that in the future the interest in learning Mathematics will be even greater.
Total Irregular Labelling Of Butterfly and Beneš Network 5-Dimension Edy Saputra; Nurdin Hinding; Supri Amir
Jurnal Matematika, Statistika dan Komputasi Vol. 17 No. 1 (2020): JMSK, SEPTEMBER, 2020
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jmsk.v17i1.10909

Abstract

This paper aims to determine the total vertex irregularity strength and total edge irregularity strength of Butterfly and Beneš Network 5-Dimension. The determination of the total vertex irregularity strength and the edge irregularity strength was conducted by determining the lower bound and upper bound.  The lower bound was analyzed based on characteristics of the graph and other proponent theorems, while upper bound was analyzed by constructing the function of the irregular total labeling. The result show that the total vertex irregularity strength of Butterfly Network , the total edge irregularity strength . The total vertex irregularity strength of Beneš Network , the total edge irregularity strength
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.
Rancang Bangun Website Himpunan Mahasiswa Bontang Wilayah Kampus Makassar Muhammad Sofyan Daud Pujas; Adelia Puspita Hilal; Chindy Febryan Erwana Putri; Isty Hamdayani; Eliyah A M Sampetoding; Edy Saputra Rusdi; Esther S Manapa
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 2 No 2 (2022): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.133 KB) | DOI: 10.35746/bakwan.v2i2.287

Abstract

The Bontang Student Association (HMB) is a regional student organization originating from the City of Bontang, East Kalimantan. By measuring the development of the times that are visible today, designing a system with the right analytical techniques using technology as the foundation will be something that is able to capture the walls that limit everyone's thinking. Therefore, using the website as a forum for gathering thoughts in concluding a solution is the right application of technology for the regional organization. HMB is an organization that functions as a forum for developing the quality and quality of its cadres. To carry out this task, an event was held at this organization in order to gather all the opinions of the scattered cadre representatives to respond to the social problems under review. Solving problems encountered byan organization certainly requires the right solution for the thoughts of its members to be collected and more efficient. So in this service case studywe are trying to design a website to facilitate service to the organization.
Perbandingan ANN, Random Forest, dan XGBoost dalam Klasifikasi Antibiotik dengan Penerapan metode Sampling Saputra Rusdi, Edy; RUSDI, EDY SAPUTRA; Siddik, A. Muh. Amil; Aris, Naimah; Ardiansyah Asrifah, Muhammad; Syahrir, Nur Hilal A.; Rangkuti, Aidawayati; Rusdi, Wahyudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

Banyak obat potensial telah ditemukan dari produk alami laut (Marine Natural Product). Hal ini menunjukkan bahwa senyawa laut merupakan sumber penting dalam pengembangan dan penemuan obat. Meskipun banyak senyawa laut yang menunjukkan aktivitas biologis tertentu, hanya sedikit yang tercatat sebagai senyawa antibakteri. Oleh karena itu, menemukan senyawa yang berpotensi sebagai senyawa antibakteri dari organisme laut masih menjadi tantangan. Tujuan dari penelitian ini adalah untuk memanfaatkan pendekatan komputasi untuk menemukan senyawa antibakteri dari produk alami laut yang berpotensi menjadi obat. Penelitian ini berfokus pada penggunaan model Artificial Neural Network (ANN), Random Forest, dan XGBoost untuk melakukan klasifikasi berdasarkan kemiripan kimiawi antara senyawa produk alami laut di Indonesia dengan senyawa antibakteri. Untuk mengatasi ketidakseimbangan data, digunakan teknik resampling berupa SMOTE dan undersampling (US). Hasil penelitian menunjukkan bahwa akurasi XGBoost + SMOTE memiliki nilai yang paling tinggi, yaitu 98.89%, mengungguli model ANN 97.57%, Random Forest  (RF) 97.06%, serta model dengan resampling lain seperti ANN+SMOTE 98.67% dan RF + SMOTE 98.59%. Sementara itu, penerapan teknik undersampling menyebabkan penurunan akurasi secara signifikan, di mana XGBoost + US, RF + US, dan ANN + US masing-masing hanya mencapai 91.12%, 91.59%, dan 87.85%. Dari 73 senyawa biota laut, hanya senyawa yang memiliki CID 101767277 yang diprediksi sebagai senyawa yang potensial sebagai antibakteri.   Abstract Many potential drugs have been discovered from marine natural products. This suggests that marine compounds are essential in drug development and discovery. Although many marine compounds exhibit certain biological activities, only a few have been recorded as antibacterial compounds. Therefore, finding compounds with potential as antibacterial compounds from marine organisms remains a challenge. This paper aims to utilize computational approaches to discover antibacterial compounds from marine natural products that have the potential to become drugs. This research focuses on the use of Artificial Neural Network (ANN), Random Forest (RF), and XGBoost models to perform classification based on chemical similarity between compounds of marine natural products in Indonesia and antibacterial compounds. To overcome data imbalance, resampling techniques such as SMOTE and undersampling (US) were used. The results showed that the accuracy of XGBoost + SMOTE has the highest value, which is 98.89%, outperforming the ANN model 97.57%, Random Forest (RF) 97.06%, as well as models with other resampling such as ANN+SMOTE 98.67% and RF + SMOTE 98.59%. Meanwhile, the application of undersampling techniques caused a significant decrease in accuracy, where XGBoost + US, RF + US, and ANN + US only reached 91.12%, 91.59%, and 87.85%, respectively. Of the 73 marine biota compounds, only compounds that have CID 101767277 are predicted as potential antibacterial compounds.