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Klasifikasi Gejala Awal Covid-19 dengan Algoritma Classification and Regression Tree (Cart) Agung Alamsyah; Anita Desiani; Endro Setyo Cahyono
KOMPUTEK Vol 7, No 2 (2023): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v7i2.2095

COVID-19 is a disease that can cause death and can spread to others. By identifying early symptoms of the disease, early detection can be made for several symptoms that may cause COVID-19. One way to predict COVID-19 is through classification methods. By identifying the symptoms that have an impact on COVID-19, it is hoped that the COVID-19 virus can be stopped from spreading and the world's condition can be normal. This study shows an analysis of attributes that may have an impact on the onset of COVID-19 in an individual. The classification method used is one of the decision tree methods, namely the Classification and Regression Tree (CART). The training and testing methods used in this study are cross-validation and percentage split. The attribute that has a significant influence in this classification using CART method is lung infection. The performance of the system using cross-validation method with a value of k of 10 obtained an accuracy of 85%, which is considered good, while using a percentage split of 66%, an accuracy of 87% was obtained. The evaluation results for the class indicating COVID-19 with precision and recall in cross-validation are 70% and 68%, respectively, while for the percentage split method, precision and recall values of 75% and 70% were obtained, respectively.

Robust-Set Covering Problem and Sensitivity Analysis to Determine The Location of Temporary Waste Disposal Sites Octarina, Sisca; Bangun, Putra Bahtera Jaya; Cahyono, Endro Setyo; Suprihatin, Bambang; Sarjani, Ita; Puspita, Fitri Maya; Yuliza, Evi
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.260-272

The increasing population has resulted in a significant increase in the amount of waste. One effort that can be made to overcome the waste problem is to provide a Temporary Waste Disposal Site (TWDS). This research aims to optimize the TWDS in the Bukit Kecil sub-district, Palembang city, by formulating a Robust-Set Covering Problem (Robust-SCP) model and solving the model with the software. Sensitivity analysis is used to analyze the optimal solution. Bukit Kecil sub-district is the sub-district that has the highest number of TWDS in Palembang city. The robust-SCP model obtained 10 optimal TWDS. Therefore, this research recommends the Robust SCP model as the optimal solution for the determination of TWDS in the Bukit Kecil sub-district, namely TWDS Kartini Street, TWDS front of Starbucks KI Street, TWDS Merdeka Street, TWDS Illegal at 26 Ilir Market, TWDS Flat Block 35, TWDS Flat Block 49, TWDS Merdeka Women’s Prison, TWDS Musi Riverbank Park, TWDS Monpera, and TWDS Cinde Market, with the addition of TWDS Mayor’s Office in 22 Ilir village and TWDS Flat Block 01 in 23 Ilir village. The sensitivity analysis results in this study show that the solution remains optimal if the coefficient change is within the coefficient interval value.

Analisis Metode Certainty Factor pada Sistem Pakar dalam Diagnosa Penyakita Malaria Villando, Gio; Desiani, Anita; Cahyono, Endro Setyo
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 4, No 1 (2023): Metaverse dan Masa Depan Interaksi Digital: Perspektif Teknologi dan Sosial
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v4i1.5933

Malaria merupakan sebuah penyakit yang berasal dari parasit yang dinamakalkan n dengan parasit plasmodian. Parasit ini dapat menular dari satu manusia ke manusia yang lainnya melalui perantara nyamuk malaria atau disebut dengan nyamuk anopheles. Terdapat 4 jenis malaria meliputi, Malaria Tertiana, Malaria Tropis, Malaria Ovale, dan Malaria Quartana. Pada umumnya tanda penyakit malaria diawali dengan gejala sakit kepala, demam, mual, menggigil, sakit kepala, muntah, flu dan juga mual. Gejala malaria biasanya terjadi pada manusia ketika sudah berada di 10-15 hari di dalam tubuh manusia. Karena kurangnya fasilitas dan minimnya pengetahuan masyarakat mengenai gejala penyakit malaria dapat menunda diagnosa penyakit malaria sehingga terlambat. Sehingga tujuan dari penelitian ini adalah membangun sistem pakar untuk membantu mendiagnosa penyakit malaria dengan menggunakan metode Certainty Factor. Adapun akurasi sistem pakar yang dihasilkan pada penelitian ini untuk mendiagnosa penyakit Malaria meliputi Malaria Tertiana, Malaria Tropika, Malaria Ovale dan Qurtana dengan tingkat akurasinya masing-masing adalah 56,1946% untuk Malaria Tertiana, 54,7038% untuk Malaria Tropika, 56,0473% Malaria Ovale dan 54,0473% Malaria Quartana. Dari akurasi yang diperoleh, akurasi yang paling tinggi adalah Malaria Ovale. Dari akurasi yang dihasilkan dapat membantu masyarakat dan juga tenaga kesehatan dalam mendiagnosa jenis penyakit malaria yang di derita.

Permainan Edukatif Berbasis Lingkungan Sebagai Upaya Perkembangan Kognitif dan Motorik Bagi Siswa Sekolah Dasar Yuliza, Evi; Cahyono, Endro Setyo; Nurnawati, Elisa; Puspita, Fitri Maya; Indrawati; Octarina, Sisca
Qardhul Hasan: Media Pengabdian kepada Masyarakat Vol. 11 No. 2 (2025): Qardhul Hasan: Media Pengabdian kepada Masyarakat
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/qh.v11i2.19274

Permainan edukatif adalah bentuk permainan yang dirancang untuk memberikan pengalaman belajar yang lebih mendalam dalam proses belajar. Pengabdian ini bertujuan untuk meningkatkan perkembangan kognitif dan motorik siswa SD melalui permainan edukatif berbasis lingkungan. Pembelajaran berbasis lingkungan memberikan manfaat lain yaitu membuat materi pelajaran terasa lebih nyata dan mudah diterima. Metode yang digunakan dalam kegiatan ini bersifat edukatif, yakni mengandung unsur-unsur pembelajaran yang memotivasi siswa untuk berkembang ke arah yang diharapkan. Permainan edukatif berbasis lingkungan yang direkomendasikan pada siswa SD meliputi permainan harta karun, permainan tebak-tebakan dan permainan ular tangga. Kegiatan pengabdian menunjukkan bahwa siswa dapat meningkatkan kemampuan kognitif seperti pemahaman mengenai perbedaan sampah organik dan anorganik, serta keterampilan motorik melalui aktivitas fisik dalam permainan. Selain itu, permainan ini juga efektif dalam mempererat hubungan sosial antar siswa, meningkatkan kerjasama dalam kelompok, dan menciptakan suasana belajar yang menyenangkan.

DETERMINING THE OPTIMAL TEMPORARY WASTE DISPOSAL SITES IN THE ALANG-ALANG LEBAR SUB-DISTRICT PALEMBANG USING THE P-CENTRE LOCATION PROBLEM AND P-MEDIAN PROBLEM MODELS Octarina, Sisca; Armalia, Divasanda; Suprihatin, Bambang; Bangun, Putra BJ; Cahyono, Endro Setyo; Puspita, Fitri Maya; Yuliza, Evi; Indrawati, Indrawati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2685-2702

The rapid development of Palembang City comes with an increase in population and a proportionate increase in waste. Providing Temporary Waste Disposal Sites (TWDS) with ideal locations is one way to address the waste problem in Palembang City. The location of the existing TWDS could be more regular and optimal. The problem of determining the optimal TWDS location can be solved by optimization science, as classified in the Set Covering Problem (SCP) model. The SCP model is divided into the -Center Location Problem and -Median Problem models. This study aims to determine the optimal locations for TWDS in the Alang-Alang Lebar Sub-District, Palembang City, by comparing the results of the p-Center Location Problem and p-Median Problem models. Initially, the Alang-Alang Lebar Sub-District had 33 TWDS. After formulating the Set Covering Location Problem and Maximal Covering Location Problem models, we obtain the optimal solution, which we then solve using the -Center Location Problem and -Median Problem models. Based on the results and discussion, the optimal TWDS can meet the demand of each village in the Alang-Alang Lebar Sub-District. The -Center Location Problem and -Median Problem models produce the same optimal TWDS, namely TWDS Pramuka 2 Street and around, TWDS Colonel Sulaiman Amin Street, TWDS Talang Kelapa Ujung, and TWDS Beside Soekarno Hatta Street. This study recommends using both models to determine the optimal TWDS.

MICE and ADASYN for Missing Data Imputation and Imbalanced Data Handling on Heart Disease Classification Desiani, Anita; Dewi, Deshinta Arrova; Amran, Ali; Pratiwi, Ananda; Andriani, Yuli; Cahyono, Endro Setyo
Science and Technology Indonesia Vol. 10 No. 4 (2025): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.4.1020-1030

The quality of data is determined by several things, namely the completeness and balance data. The heart disease dataset from the University of California, Irvine (UCI) has missing and imbalanced data, which if it is not handled, can lead to a lack of accuracy in the prediction model and errors in interpreting the data. To overcome missing data, several methods can be used, one of which is data imputation. Attributes with missing data of 5% or less are handled using imputation methods such as Mean, Mode, and MICE. Attributes with numeric types are handled by Mean. Attributes with categorical types are imputed byMode. Attributes with more than 5% missing data are imputed using the MICE method. Imbalanced data can be handled by applying an oversampling method using the Adaptive Synthetic Sampling Approach (ADASYN). The effect of imputing missing data and addressing class imbalance on heart disease classification performance was tested using Random Forest, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP) algorithms. After handling missing values and data imbalance, improvements were observed in the classification results. The accuracy, precision, recall, and F1-score showed excellent performance, above 90% on several classification methods. The results indicate that handling missing and imbalanced data through Mean, Mode, MICE, and ADASYN positively impacts the performance of classifiers on the UCI heart disease dataset.

IMPLEMENTASI PERMAINAN EDUKATIF BERBASIS LINGKUNGAN MELALUI PELATIHAN DAN PENDAMPINGAN BAGI GURU-GURU SD DI PEMULUTAN Yuliza, Evi; Bangun, Putra Bahtera Jaya; Cahyono, Endro Setyo; Nurnawati, Elisa; Puspita, Fitri Maya; Octarina, Sisca; Indrawati, Indrawati
Jurnal Pepadu Vol 6 No 3 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i3.5509

Learning activities at school carried out by elementary school students must sometimes be interspersed with educational games aimed at attracting students' interest and stimulating their brains and creativity. Educational games for elementary school children are games designed to stimulate and train students' brain development, foster imagination, develop students' creative thinking and improve memory. This service activity aims to introduce environmentally based educational games to teachers so that they are skilled at developing varied and interesting educational games. The method used in implementing this service activity is training and mentoring. This activity goes through three stages, namely delivery of material, discussion and evaluation. The results of this training and mentoring show that the average percentage of statement scores is 97.5%. This shows that environmentally based educational games provide cognitive, psychomotor and affective development for students, environmentally based educational games can create a pleasant learning atmosphere and provide stimulation for the development of children's abilities. Through this service activity, teachers can increase their knowledge of environmental-based educational games so that the learning process becomes interesting and fun.

Klasifikasi Gejala Awal Covid-19 dengan Algoritma Classification and Regression Tree (Cart) Alamsyah, Agung; Desiani, Anita; Cahyono, Endro Setyo
KOMPUTEK Vol. 7 No. 2 (2023): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v7i2.2095

COVID-19 is a disease that can cause death and can spread to others. By identifying early symptoms of the disease, early detection can be made for several symptoms that may cause COVID-19. One way to predict COVID-19 is through classification methods. By identifying the symptoms that have an impact on COVID-19, it is hoped that the COVID-19 virus can be stopped from spreading and the world's condition can be normal. This study shows an analysis of attributes that may have an impact on the onset of COVID-19 in an individual. The classification method used is one of the decision tree methods, namely the Classification and Regression Tree (CART). The training and testing methods used in this study are cross-validation and percentage split. The attribute that has a significant influence in this classification using CART method is lung infection. The performance of the system using cross-validation method with a value of k of 10 obtained an accuracy of 85%, which is considered good, while using a percentage split of 66%, an accuracy of 87% was obtained. The evaluation results for the class indicating COVID-19 with precision and recall in cross-validation are 70% and 68%, respectively, while for the percentage split method, precision and recall values of 75% and 70% were obtained, respectively.

Pengenalan Aplikasi Perpustakaan Digital Sebagai Upaya Peningkatan Kemampuan Literasi Anak Sekolah Dasar Dwipurwani, Oki; Susanti, Eka; Sukanda, Dian Cahyawati; Indrawati, Indrawati; Cahyono, Endro Setyo
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Volume 5 Nomor 2 Tahun 2025 (Juni)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v5i2.5355

Basic literacy that must be developed from elementary school includes reading, writing literacy and numeracy literacy. This service activity introduced a digital library application for the reading literacy program at SDN 11 Indralaya. This service activity aims to introduce digital library applications to improve reading and writing literacy skills and increase reading sources in elementary schools. The method of implementing activities is learning assistance. The activity participants were students in grades III, IV, V, and teachers. Literacy skills were measured using a digital library application. The measurement variables involved in this activity are the variables of story type, reading duration, comprehension level, answering ability and activeness. The results of the activity showed high enthusiasm from students in using the digital library application and an increase in reading interest. The evaluation results also show that there is a high level of literacy comprehension among students, and it generally increases with the grade of the students. An increase in reading duration can have a direct impact on improving students' comprehension and an indirect impact on their answering skills. This indicates an improvement in students' reading literacy. The introduction of digital libraries can be an effective solution in expanding access to quality reading materials while encouraging the literacy skills of elementary school students in this digital era.

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