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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Ekonomi dan Pendidikan JPMS (Jurnal Pendidikan Matematika dan Sains) Jurnal Penelitian Saintek Pythagoras: Jurnal Matematika dan Pendidikan Matematika EKSAKTA: Journal of Sciences and Data Analysis Jurnal Ilmu Dasar Jurnal Sains Dasar TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Infinity Jurnal Riset Pendidikan Matematika Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Beta: Jurnal Tadris Matematika JUMLAHKU: Jurnal Matematika Ilmiah STKIP Muhammadiyah Kuningan MIND (Multimedia Artificial Intelligent Networking Database) Journal JP3M (Jurnal Penelitian Pendidikan dan Pengajaran Matematika) Jurnal Pendidikan Indonesia (Japendi) DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Jurnal Statistika dan Sains Data Jurnal Kajian dan Terapan Matematika International Journal of Mathematics and Science Education Jurnal Infinity Jurnal Matematika Ilmiah Universitas Muhammadiyah Kuningan Mathematics Education Journal
Agus Maman Abadi
Universitas Negeri Yogyakarta
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : BAREKENG: Jurnal Ilmu Matematika dan Terapan

 1 
APPLICATION OF MAMDANI FUZZY LOGIC IN REFRIGERATOR SELECTION Oktarina, Anisa Dwi; Abadi, Agus Maman; Hamdi, Syukrul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1681-1698

Abstract

Refrigerators are essential household appliances that preserve food freshness and optimize storage efficiency. Selecting a refrigerator requires careful consideration of factors such as price, capacity, and electricity consumption. This research applies the Mamdani-type Fuzzy Inference System (FIS) to recommend refrigerators based on these three criteria. Using a dataset of 82 refrigerator brands, this study implements fuzzification, rule formation, inference, and defuzzification, supported by MATLAB software. The results indicate that refrigerators with a normal price, medium capacity, and low power consumption are the most suitable choices. Based on the dataset, the Aqua AQR-415IM model meets these criteria. While this study confirms the effectiveness of fuzzy logic in structured decision-making, it does not quantitatively measure efficiency. Future research should explore alternative fuzzy logic methods, incorporate additional input variables, and consider demographic factors to enhance recommendation accuracy. Additionally, the Mamdani method can be adapted for broader applications in selecting other electronic products, contributing to both practical consumer guidance and theoretical advancements in fuzzy logic-based decision support systems.
CLASSIFICATION OF ARRHYTHMIA DISEASES BY THE CONVOLUTIONAL NEURAL NETWORK METHOD BASED ON ECG IMAGES Pratama, Agustian Arditya; Abadi, Agus Maman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0625-0634

Abstract

Arrhythmia is a heart disorder that refers to an abnormal heartbeat rhythm. Arrhythmia detection uses an electrocardiogram (ECG) to describe the heart's electrical activity. This research aimed to know the performance of the Convolutional Neural Network method in classifying arrhythmia diseases based on ECG signal images. Several stages were used to classify arrhythmias: the pre-processing data stage, CNN model formation stage, model compiling, training, model testing, and evaluation. The CNN model architecture that is formed involves 7 Convolution Layers, 7 Pooling Layers, 2 Dropout Layers, 2 Dense Layers, and 1 Flatten Layer, as well as ReLu and Softmax activation functions. The input variable in the classification process with CNN is an ECG image. The output variable is the classification of ECG signals into 17 classes, including normal sinus and pacemaker rhythms. The processed data are 1000 images; the division scenario is 750 training data and 250 testing data. The result of arrhythmia's classification based on ECG image testing data using the CNN model shows the levels of Accuracy, Precision, Recall, and F1-score levels are 81%, 80%, 71%, and 73%, respectively, respectively. With the F1-score value as a measurement reference, the CNN model performs well in classifying ECG images
FUZZY APPLICATION (MAMDANI METHOD) IN DECISION-MAKING ON LED TV SELECTION Ma'rif, Erni Fatun; Abadi, Agus Maman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1117-1128

Abstract

Science is now developing very quickly. Information technology has been used in various places. Using computers in business, government, and personal activities shows how important science and technology are in helping human activities. One method used to solve various problems is fuzzy logic. Several types of Fuzzy are classified as Fuzzy Inference Systems (FIS), namely Tsukamoto, Mamdani, and Sugeno. The application of vague logic in making decisions about choosing an LED TV is to make it easier to select electronic media. This research aims to help people who need clarification on the many LED TV choices currently available. So, we need a decision-making method to help people choose an LED TV that suits their needs and budget. One of the methods used in this research is the Mamdani method. There were 50 LED TV brands in this research, and the criteria used in selecting LED TVs were based on size, resolution, and price. An LED TV that meets the medium size, high resolution, and normal price criteria will be purchased. The LED TV data that meets the medium size, high resolution, and normal price criteria is the Samsung UA43AU7000KXXD brand LED TV. However, the actual decision remains based on the buyer's decision.
FUZZY LOGIC APPLICATION FOR DETERMINING THE FEASIBILITY OF NICKEL MINING IN SOUTHEAST SULAWESI PROVINCE Agustina, Ni Luh Ika Tri; Abadi, Agus Maman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1135-1146

Abstract

This study uses the Mamdani method to assess the feasibility of nickel mining locations in Southeast Sulawesi Province. Despite the crucial role of mining in the Indonesian economy, research on the site feasibility decisions in mining using the Mamdani method still needs to be completed. Therefore, this study addresses this knowledge gap by providing new contributions and effective solutions. The Mamdani method is employed in the various stages of mining activities, particularly in feasibility studies, which are the main focus. Mining feasibility studies involve both technical and non-technical analyses, encompassing aspects such as nickel reserves and environmental impacts. This research seeks to expand the use of the Mamdani method in mining site feasibility decisions, offering sustainable and environmentally responsible solutions. The research results show that North Konawe Regency has very large estimated nickel reserves but has a relatively low environmental impact and is quite far from the port, thus achieving a high location suitability score for mining. On the other hand, Konawe Regency has lower nickel reserves but has quite a large environmental impact, and the distance to the port is quite far, so the location feasibility score is lower. The outcomes of this research are expected to provide new insights, fill knowledge gaps, and serve as a valuable reference for future mining site feasibility decision-making. The translation is accurate, well-structured, and free from plagiarism.
IMPLEMENTATION OF K-MEANS AND FUZZY C-MEANS CLUSTERING FOR MAPPING TODDLER STUNTING CASES IN GUNUNGKIDUL DISTRICT Mahardika, Bintang Wira; Abadi, Agus Maman
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/barekengvol18iss4pp2231-2246

Abstract

Gunungkidul Regency has the highest prevalence of stunted toddlers in the Special Region of Yogyakarta. This study aims to describe the optimal clustering results of toddler stunting cases using the k-means and fuzzy c-means methods and to describe the characteristic of the mapping results of stunting-prone areas for toddlers in Gunungkidul Regency for the years 2020 – 2022. This study maps stunting-prone areas for toddlers across 30 community health centers in Gunungkidul Regency from 2020 to 2022, with variables including the percentage of babies with low birth weight, babies born stunted, babies receiving health services, stunted toddlers, toddlers receiving health services, babies given exclusive breastfeeding, poor couples of reproductive ages, and families with adequate drinking water. The k-means clustering method determines cluster membership using the distance between objects and centroids, while the fuzzy c-means method uses the degree of membership. Cluster evaluation uses the silhouette coefficient, Calinski-Harabasz index, Davies-Bouldin index, and Dunn index to obtain optimal clustering results. The mapping results are presented as a stunting vulnerability map. The findings indicate that the optimal number of clusters is two, with the fuzzy c-means method proving more optimal than the k-means method based on evaluation scores. In 2020, there were 23 community health centers in cluster 0 and 7 in cluster 1. In 2021, there were 21 community health centers in cluster 0 and 9 in cluster 1. In 2022, there were 18 community health centers in cluster 0 and 12 in cluster 1. Generally, community health centers in cluster 0 are less optimal in specific nutrition interventions, such as for infants and toddlers. In contrast, those in cluster 1 are less optimal in sensitive nutrition interventions, such as poverty and water adequacy.
Co-Authors Abd. Haris Aditya Wisnugraha Sugiyarto Agustina, Ni Luh Ika Tri Ahmad Ahmad Ahmad Ahmad Ahmad Nizar Rangkuti Ahmad Syajili Aisah Badaini AIZIYAH, ELSA Ali Muhson Ali, Rade Muhammad Ali, Raden Muhammad Anggun Badu Kusuma Anis Ulfah Mustaqim Anis Ulfah Mustaqim Annisa Fitri Aprisal Aprisal Aprisal, Aprisal Arifudin Prabowo Kurniawan Astri Wahyuni Asyik Andi Arnomo Bertolomeus Laksana Jayadri Dhoriva Urwatul Wutsqa Dita Aldila Krisma Djidu, Hasan Emut . Emut Emut Emut Emut Ezra Putranda Setiawan Fadhila, Sinta Oktavia Nur Farida Hanum Farida Hanum Hari Purnomo Susanto Harini, Lusi HARYANTO HARYANTO, ALLEN Heri Retnawati Hidayah Nurul Hasanah Zen Indah Puspita Joko Sungkono Kartika, Yuli Karyati Karyati Kusuma, Anggun Badu lukmana, allen haryanto Ma'rif, Erni Fatun Mahardika, Bintang Wira Mansyaroh, Akhid Khirohmah Mohammad Saeful Amri Muhammad Najib Mubarrok Musthofa . Musthofa Musthofa Musthofa Musthofa Nirmasari, Yumanita Nisrina Amaliyah Wibowo Nurlia Ningsih Oktarina, Anisa Dwi Pratama, Agustian Arditya Rani Mita Sari Rini Dwi Astuti Rizka Nur Pratiwi Rizky Oktora Prihadini Eka Putri Samsubar Saleh Samuel Hasibuan Sri Andayani Subanar . Sugiyarto, Aditya Wisnugraha Sumarna Sumarna Syajili, Ahmad Syukrul Hamdi Tety Dwi Setyaningsih Torang Siregar Toto Sukisno Triutami, Ratna Umi Nurofi’atin Wahyuningsih, Nurul Weni Safitri Widha Nur Shanti Widodo Widodo Zulfa Lailaturrosidah ‎, Haryanto