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Nilai-Nilai Perdamaian dalam Buku Teks Pendidikan Agama Islam (Akhlak) di Sekolah Muhammadiyah Nurwanto Nurwanto; Muhammad Azhar; Marsudi, Marsudi; Ghoffar Ismail
Afkaruna: Indonesian Interdisciplinary Journal of Islamic Studies Vol. 11 No. 1: June 2015
Publisher : Fakultas Studi Islam dan Peradaban, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/aiijis.2015.0043.41-65

Abstract

The article examines whether the textbooks on Islamic Ethics (akhlak) taught in-the Muhammadiyah schools promote peace. Studying the content of schools’ text-books is nececessary due to the increase of social conflicts and violent actions among-students. In particular, this article explores the Islamic teaching of peace within-Islamic Ethics textbooks published by the Board of Basic and Secondary Education-of Muhammadiyah (DIKDASMEN) in Yogyakarta Special Territory. By the use of-content analysis, this article finds that teaching materials in the Islamic Ethics text--books promote the values of peace. However, the texbooks editing quality needs to-be improved so that the narrratives (story tellings) and pictures (ilustration) can fit-the students’ needs
An Integrated Circular Intuitionistic Fuzzy SWARA-TOPSIS Framework for Supplier Selection: Evidence from Pia Cap Mangkok Putri Rosmerry Retno Sahabir; Vira Hari Krisnawati; Marsudi Marsudi
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36728

Abstract

In food industries, supplier evaluation and selection are strategic activities that influence product freshness, operational continuity, and supply chain sustainability. However, this process is often hindered by uncertainty and ambiguity in expert judgments. In response to these challenges, the present study proposes an integrated decision-making method that combines Circular Intuitionistic Fuzzy Set (CIFS), the Stepwise Weight Assessment Ratio Analysis (SWARA), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). CIFS capture uncertainty in expert opinions, SWARA determines systematic criteria weights, and TOPSIS—enhanced with the Garg et al. distance measure—ranks suppliers based on aggregated evaluations. The evaluation involves seven key criteria: flexibility, capacity, quality, service, reputation, price, and lead time, assessed across five potential suppliers. Applied to Toko Pia Cap Mangkok, a traditional snack producer in Malang, Indonesia, the method identifies lead time, capacity, and reputation as the most critical criteria. Among the alternatives, Supplier $A_1$ consistently ranks first across optimistic, pessimistic, and combined scenarios, confirming its robustness and reliability, followed by Supplier $A_2$, while others perform less competitively. This study advances fuzzy-based multi-criteria decision-making by integrating CIFS–SWARA–TOPSIS, ensuring reliable supplier selection under uncertainty and offering a replicable framework for decision-makers in the food industry.
Combination of Extreme Learning Machine and Binary Bat Algorithm for Customer Churn Prediction Arifin Arifin; Syaiful Anam; Marsudi Marsudi
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.31815

Abstract

AbstractOne of the important assets in a company is customers. Customers determine the company's stability because they are source of income and determine the company's competitiveness. It shows the importance of predicting which customers have the potential to switch to another company. These predictions can be done using Machine Learning (ML). One of ML methods is the Extreme Learning Machine (ELM). The advantages of ELM compared to other methods are fast computing time, ease of use, and can reach a global optimum. However, ELM has weaknesses when solving problems with high-dimensional datasets, so feature selection is required. The Binary Bat Algorithm (BBA) is a swarm intelligence method that can be used to optimize ELM performance. The advantages of BBA compared to other are few parameters and much better in effectiveness or accuracy. This research was carried out with preprocessing data, training data and testing data. The research results showed that ELM-BBA is better than ELM and ELM-Binary Particle Swarm Optimization (BPSO) in evaluation metric values. However, ELM-BBA tended to be slower than ELM-BPSO. The best results on evaluation metrics achieved by ELM-BBA were 0.97, 0.97, 0.96, and 0.97 in accuracy, precision, recall, and F1 score, respectively.
Co-Authors Abdillah, Akhmad Saeaji Abdul Basyid Abriyoso, Octojaya Abubakar Alwi Adli Putra Ermanda Adryani Ris Affifuddin, Maulana Agus Suryanto Agustina Ahmad Fitri, Afit Aiun Hayatu Rabinah Alfarobi, Alam Alfi Hendri Alfianto, Dean Andi AlHuzni, Muhammad Fajrul Amin Ali, Okada Alinata, Rusydi Hafidz Ambarwati, Lilis Anam, Syaiful Ananda Putri Sephiani Anastasia, Mutiara Syafira Andi Nurul Mukhlisah Andoyo Supriyantono Anggara, Bhisma Rizqi Anggia Sekar Putri Arief, Faharia Arifin Arifin Armansyah Armansyah Atmojo, R. Bambang Sri Bambang Nugroho Basri Basri Buwana, Misbakh Aji Cahyani, Annisa Putri Cahyani, Regita Daniella, Nadya Deka Uli Fahrodi Dewi Artha Hutasoit Dewi, Nur Azizah Shinta Dianita Ratna Kusumastuti Dliyaulhaq, Muhammad Afi Erna Retna Rahadjeng Essy Viona Sihombing F Widhi Mahatmanti Fadly Rizaldy Fatahuddin, Fatahuddin Fauzar, Selvi Fauzia Fauzia Ferbian Milas Siswanto Fery Widhiatmoko Fiqri, Nizal Muhamad Firmansyah, Aditya Sukma Fitrani, Rahmadhania Dwi Gading, Besse Mahbuba We Tenri Ghoffar Ismail Goro, Garup Lambang Gusti Zulkifli Mulki Handayani, Nurafsah Sri Harfiyanto, Eko Hikmawaty, Hikmawaty I Ketut Ardana Imran Ilyas Ina T, Nur Irma Susanti S Irmayanti Isnani Darti Jatilinuar, Setya Rahdiyatmi Kurnia Juliati, Ratih Kartika Nuswantara Kasmiati Kasmiati Kirani, Padma Aurelia KURNIA KURNIA, KURNIA Lestari, Nor Puji Mabui, D. S. mahanani, Agni Ayudha Mangastuti, Rebecca Sidhapramudita Martono Martono Maryati Maryati Mayarianty, Mayarianty Muhammad Azhar Muhammad Azmi Muhammad Irfan Muhammad Mu’azamsyah Muharmita, Sri Muqtafin, Muqtafin Musafir, Raqqasyi Rahmatullah Nanik Wijayati Ni Wayan Suarmini, Ni Wayan Niken Prasetyawati, Niken Nita Adillah Pratiwi Novianti Novianti Nur Rahmah Nur Saidah Said Nur Saidah Said, Nur Saidah Nur Setiaji Pamungkas, Nur Setiaji Nurhayati Nurhayati Nurman Nurman Nurullah, Muhammad Ainun Rosyid Nurwanto Nurwanto Oktaviani, Fitri Pangesti, Rendy Dwi Partino, H.R. Prabowo, Dhanar Dwi Praharseno, Fikri Pratiwi, Khana Fitri Pratondo, Kalistya Rizki Prayoga Dwi Guna Priyatna, Inayah Kamilah Putri Rosmerry Retno Sahabir Putri, Anggia Sekar R. Iqbal Robbie Radja, Irwan Manik Rahayu Lestari Rahmad Wijaya Rahman, Nur Setyo Raja Hardiansyah Ramadhan, Afghani Trisna Ramdaniah, Putri Rifqi Aulia Abdillah, Rifqi Aulia Roni Bawole Roselina Rahmawati Ruth Dameria Haloho S.T., M.T., DEDI BUDI SETIAWAN Salmin Dengo Saputra, Eko Murti Sari, Anggi Donita Satria, Ade Savitri, Eka Dian Sephiani, Ananda Putri Septaningsih, Andi Citra Sineri, Anton Siti Aisyah siti zahrok, siti Sobri Abusini Sri Wahyuni Stefanus Santosa Sudirman Sudirman Sugiyanto, Gilang Bentra Sukmawati Sukmawati Sukoco, Hendro Sulaiman, Sriwahyuningsih Sultani, Zofrano Ibrahimsyah Magribi Suparman Suparman Supriyo Supriyo Suriansyah, Suriansyah Suroso Suroso Syafnur, M. Syafrudin Raharjo Taufik Dunialam Khaliq Tiara, Zakyyah Medina Totok Wahyu Abadi Trisilowati Trisilowati, Trisilowati Triwardaya Triwardaya, Triwardaya Umar, Nazaruddin Vemi Widoanindyawati Vira Hari Krisnawati Wargi, Faruq Setya Weningtyas, Hesti Yopi Andry Lesnussa Yuritanto, Yuritanto Yuriyanto, Yuriyanto