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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Elkom: Jurnal Elektronika dan Komputer Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Jurnal Penelitian Pendidikan IPA (JPPIPA) JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Manajemen Informasi dan Administrasi Kesehatan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Surya Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Ilmiah JKA (Jurnal Kesehatan Aeromedika) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Surya Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Journal of Data Insights Journal of Computing Theories and Applications Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Komputer dan Teknologi Informasi Aksioma Education Journal

Muhammad Munsarif

Universitas Muhammadiyah Semarang

Author-ID : 3749957

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Creativity: Promotion of the Creative Process; Innovative and Collaborative 21st Century Learning Eny Winaryati; Muhammad Munsarif; Mardiana Mardiana; Suwahono Suwahono
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.2971

21st century learning requires the world of education to produce graduates who have creativity, who encourage creative and collaborative processes in solving problems. The purpose of this study was to obtain dimensional data and indicators of creativity skills in students, teachers and school principals. This research method is Mixed Method, with Exploratory Sequential Design model. The conclusions of this study are: (1) The number and names of the dimensions remain the same, namely there are 5 (five) with 21 (twenty one) indicators. (2) There is a change in the number and name of the indicator. The number of indicators for each dimension are: (a) Dimensions of creative thinking ability, there are 4 (four) indicators; (b) Dimensions of working creatively with other people have 3 (three) indicators; (c) There are 6 (six) indicators to interpret a failure; (d) Dimensions of implementing idea innovation into innovation for success, there are 5 (five) indicators; (e) Dimensions of thinking outside the habit there are 3 indicators. Suggestion: Research can be followed up by using dimensions and indicators of 21st century learning creativity skills in students and teachers, with various sample characteristics. The results of the assessment can be used to measure the level of existing creativity skills.

KLASIFIKASI WAKAF PRODUKTIF MENGGUNAKAN ALGORITMA ID3 PADA SISTEM INFORMASI ASET DAN KEHARTABENDAAN MAJELIS WAKAF YOGYAKARTA Muhammad Munsarif
(JurTI) Jurnal Teknologi Informasi Vol 4, No 1 (2020): JUNI 2020
Publisher : Universitas Asahan

Abstract – Productive Waqf is one of the waqf management programs developed in the modern era to improve the Islamic economy. The large number of waqf land received by nazir from year to year causes the management of waqf to be more complicated. This is caused by the lack of financial support and based on data from the ministry of religion in April 2020 the area of waqf land is 50,260.89 Ha. The waqf information system that has been developed has not been able to be a solution to the problems of waqf land management. Muhammadiyah which is the oldest Islamic organization that has succeeded in making many charitable efforts using waqf still not able to overcome the existing problems. The amount of waqf that is owned by Muhammadiyah requires an analysis to make a classification of productive and non-productive endowments that can provide information to make decisions in the management of endowment management on an ongoing basis. In this research, the ID3 algorithm is used for waqf classification which can show productive and non-productive categories using data derived from Muhamamdiyah Asset Information System in the Yogyakarta region. The results of the study provide recommendations that are shown in the decision tree produced by ID3 so that it can be concluded that for the management of waqf it is necessary to group and classify productive and non-productive land to create a professional endowment management plan.Keywords: Decision Support System, ID3 Algorithm, Data Mining, Waqf information system, Productive Waqf, Muhammadiyah, Rapidminner.Abstract – Wakaf produktif menjadi salah satu program pengelolaan wakaf yang dikembangkan di era modern dengan tujuan untuk meningkat perekonomian umat islam.Besarnya Jumlah wakaf tanah yang diterima oleh para nadzir dari tahun ke tahun menyebabkan pengelolaan wakaf menjadi lebih rumit.Hal ini di sebabkan tidak adanya dukungan pembiayaan dan pengembangannya.Berdasarkan data dari kementerian agama pada April 2020 luas tanah wakaf 50.260.89 Ha .Sistem informasi wakaf yang telah dikembangkan belum mampu menjadi solusi atas permasalah pengelolaan tanah wakaf .Muhammadiyah yang merupakan organisasi Islam tertua yang telah berhasil membuat banyak amal usaha dengan menggunakan wakaf masih belum mampu mengatasi persoalan yang ada.Besarnya wakaf yang di miliki oleh muhammadiyah membutuhkan sebuah analisa untuk membuat klasifikasi wakaf produktif dan non produktif yang mampu memberikan informasi untuk membuat keputusan dalam perencanaan pengelolaan wakaf secara berkesinambungan. Pada penelitian ini Algoritma ID3 digunakan untuk klasifikasi wakaf yang mampu menunjukan kategori produktif dan non produktif dengan menggunakan data yang berasal dari Sistem informasi aset Muhamamdiyah wilayah Yogyakarta. Hasil penelitian memberikan rekomendasi yang di tunjukkan dalam pohon keputusan yang di hasilkan oleh ID3 ,Sehingga bisa simpulkan bahwa untuk pengelolaan wakaf di butuhkan pengelompokan dan klasifikasi tanah produktif dan non produktif dalam upaya membuat rencana pengeloaan wakaf secara profesional.Kata kunci: Sistem Pendukung Keputusan, Algoritma ID3, Data Mining, Sistem Informasi Wakaf, Wakaf Porduktif, Muhammadiyah, Rapidminner

PENGEMBANGAN AGROPREUNERSHIP DAN DIGITALISASI DALAM UPAYA BRANDING DESA WISATA WONOLOPO Meike Amelia Hanifah; Shabrina Mirza; Kholifatul Afwah; Salsabila Rahma; Alfi Widianto; Galih Ratna; Alif Hardika; Jian Janata; Siti Muzdalifah; Ahmad Miftakhul; Tirta Ramadhani; Javier Rayhan; Muhammad Munsarif
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 4 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i4.1286-1290

Usaha Mikro Kecil dan Menengah (UMKM) dalam perekonomian Indonesia mempunyai peran dan potensi yang besar dalam membangun perekonomian sektoral maupun nasional. Pelaku UMKM di Desa Wonolopo, Kecamatan Mijen, Kota Semarang masih menghadapi permasalahan yang terkait kurangnya pengetahuan masyarakat terhadap Digital Marketing strategi. Keterbatasan ini merupakan permasalahan yang penting bagi UMKM dalam mengembangkan usahanya. Sehingga dalam penelitian ini kami akan memaparkan upaya pengembangan branding yang dilakukan kepada masyarakat Desa Wonolopo. Beberapa kegiatan akan dilaksanakan dalam bentuk kegiatan sosialisasi yang rutin setiap minggu. Dalam pelaksanaanya hanya 20 peserta yang dapat mengikuti, sehubungan masih dalam kondisi Pemberlakuan Pembatasan Kegiatan Masyarakat(PPKM) yang terus menerus berkelanjutan. Hasil dari kegiatan ini, diharapkan para peserta yang mengikuti dapat lebih terbuka secara pengetahuan tentang bagaimana cara mempromosikan potensi Desa Wonolopo dengan mengikuti perkembangan zaman.

Analisis Legalitas Tanah Wakaf Muhammadiyah Jawa Tengah dengan menggunakan Algoritma ID3 Muhammad Munsarif
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 1 (2020): Juli: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v13i1.134

Waqf information system In April 2020 shows the number of waqf land in Indonesia has an area of 51,259.84 Ha. More waqf received in the form of land creates a problem of disputes and disputes that lead to legal cases Muhammadiyah is the second-largest Islamic organization that has assets in the form of waqf land that has not been able to resolve existing problems. In this study, an analysis of legal potential and waqf land disputes is used using ID3 Algorithm to classify potential land disputes based on the status of the land deed, owner's name, location of waqf and its use so that it can produce data on the ownership rights of waqf land which has the potential for legal disputes and no legal disputes. research shows that potential legal problems are still present. The ID3 algorithm is able to produce information as a basis for reducing disputes and the loss of waqf land.

Pelatihan Kecerdasan Artifisial (KA) kepada Guru SD di Kabupaten Blora Jawa Tengah untuk Peningkatan Kemampuan di Bidang Digital Muhammad Munsarif; Samsudi Raharjo; Muhammad Sam'an
Jurnal Surya Masyarakat Vol 5, No 1 (2022): November 2022
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.5.1.2022.101-105

In this era of digitalization, the Government is trying from an early age to introduce programming concepts and Artificial Intelligence, which in the future can be used to support the learning process of elementary school education. This training aims to provide new knowledge about how coding programs are included in the subject matter of elementary school children. The teachers are given lessons on basic things suitable to be applied in class and immediately put into practice their projects. With this method, teachers learn to adapt to the new model, where the material will be taught to students in class. Activities are carried out offline at the Arra Cepu Hotel. Stages of Training through Presentations, Videos, and Quizzes. In this activity, the teachers gain knowledge and skills in coding programs for beginners; pre-test and post-test will be used as a measure to assess it. In the future, teachers will experiment with coding lessons with students. An early introduction to programming and artificial intelligence for elementary school teachers is expected to positively impact students, mainly in their ease of receiving and understanding a lesson.

Peer to peer lending risk analysis based on embedded technique and stacking ensemble learning Muhammad Munsarif; Muhammad Sam’an; Safuan Safuan
Bulletin of Electrical Engineering and Informatics Vol 11, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i6.3927

Peer to peer lending is famous for easy and fast loans from complicated traditional lending institutions. Therefore, big data and machine learning are needed for credit risk analysis, especially for potential defaulters. However, data imbalance and high computation have a terrible effect on machine learning prediction performance. This paper proposes a stacking ensemble learning with features selection based on embedded techniques (gradient boosted trees (GBDT), random forest (RF), adaptive boosting (AdaBoost), extra gradient boosting (XGBoost), light gradient boosting machine (LGBM), and decision tree (DT)) to predict the credit risk of individual borrowers on peer to peer (P2P) lending. The stacking ensemble model is created from a stack of meta-learners used in feature selection. The feature selection+ stacking model produces an average of 94.54% accuracy and 69.10 s execution time. RF meta-learner+Stacking ensemble is the best classification model, and the LGBM meta-learner+stacking ensemble is the fastest execution time. Based on experimental results, this paper showed that the credit risk prediction for P2P lending could be improved using the stacking ensemble model in addition to proper feature selection.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.5.1.2022.101-105

The evaluation of convolutional neural network and genetic algorithm performance based on the number of hyperparameters for English handwritten recognition Muhammad Munsarif; Edi Noersasongko; Pulung Nurtantio Andono; Moch Arief Soeleman
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1250-1259

Convolutional neural network (CNN) has been widely applied to image recognition, especially handwritten English recognition. CNN's performance is good if the hyperparameter values are correct. However, the determination of precise hyperparameters is not a trivial task. This task is made more difficult when combined with a larger number of hyperparameters resulting in a high dimensionality of the search space. Usually, hyperparameter optimization uses a finite number. Previous studies have shown that a large number of hyperparameters can result in optimal CNN performance. However, the studies only apply to text mining datasets. This study offers two novelties. First, it applied 20 hyperparameters and their ranges to handwritten English. Second, this paper conducted seven experiments based on different hyperparameters and the number of hyperparameters. This paper also compares the existing methods, namely random and grid search. The experiment resulted in the proposed model being superior to the existing methods. EX3 is better than other experiments and a larger number of hyperparameters and layer-specific hyperparameter values are unimportant.

Improving convolutional neural network based on hyperparameter optimization using variable length genetic algorithm for english digit handwritten recognition Muhammad Munsarif; Edi Noersasongko; Pulung Nurtantio Andono; Mochammad Arief Soeleman
International Journal of Advances in Intelligent Informatics Vol 9, No 1 (2023): March 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i1.881

Convolutional Neural Networks (CNNs) perform well compared to other deep learning models in image recognition, especially in handwritten alphabetic numeral datasets. CNN's challenging task is to find an architecture with the right hyperparameters. Usually, this activity is done by trial and error. A genetic algorithm (GA) has been widely used for automatic hyperparameter optimization. However, the original GA with fixed chromosome length allows for suboptimal solution results because CNN has a variable number of hyperparameters depending on the depth of the model. Previous work proposed variable chromosome lengths to overcome the drawbacks of native GA. This paper proposes a variable length GA by adding global hyperparameters, namely optimizer and learning speed, to systematically and automatically tune CNN hyperparameters to improve performance. We optimize seven hyperparameters, such as the learning rate. Optimizer, kernel, filter, activation function, number of layers and pooling. The experimental results show that a population of 25 produces the best fitness value and average fitness. In addition, the comparison results show that the proposed model is superior to the basic model based on accuracy. The experimental results show that the proposed model is about 99.18% higher than the baseline model.

Peningkatan Kompetensi Guru Madrasah Ibtidayah Duren dan Sabilul Huda Bandungan melalui Pelatihan Pembelajaran Berbasis Teknologi Informasi Ahmad Ilham; Akhmad Fathurrohman; Muhammad Sam'an; Safuan Safuan; Muhammad Munsarif; Luqman Assaffat; Asdani Kindarto; Arfido Ramadhani; Juyus Muhammad Adinullhaq; Febrianto Febrianto; Irvan Nurmantoro; Yevi Alviatul Ardhani; Nova Ariyanto
Jurnal Surya Masyarakat Vol 5, No 2 (2023): Mei 2023
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.5.2.2023.264-269

Madrasah Ibtidaiyah (MI) Duren Village and Sabilul Huda Jimbaran Bandungan District Semarang Regency want to produce quality graduates. However, the competence of teachers is still conventional learning aids so the learning process is not optimal. To answer this problem, the Department of Informatics, Faculty of Engineering at Universitas Muhammadiyah Semarang, Indonesia proposed information technology-based learning training activities for madrasah teachers. The purpose program is to strengthen human resources for teachers in MI Desa Duren and Sabilul Huda Jimbaran. The proposed program is divided into three learning schemes, (1) interactive presentation media, (2) online classroom learning, and (3) online learning evaluation. The results of this program are that the participants proved to be able to produce effective, elaborative, and interactive teaching materials based on information technology so that students are not bored and enthusiastic about following lessons in the classroom. It can be cancluded the program with the theme "Strengthening Teacher Competencies Through Information Technology-Based Learning Training" can overcome problems in Madrasah Ibtidaiyah (MI) Duren Village and Sabilul Huda Jimbaran Bandungan District Semarang Regency.

Co-Authors A. Awoseyi, Ayomikun Abdollahi, Jafar Abul Walid Adi Nugroho Adinullhaq, Juyus Muhammad Afan Arga Ahyana Agatra, Denaya Ferrari Noval Ahmad Ilham Ahmad Ilham Ahmad Ilham Ahmad Miftakhul Akhmad Fathurohman Akhmad Fathurrohman Akhmad Fathurrohman Alfi Widianto Alif Hardika Andrian Fahrezi Ardhani, Yevi Alviatul Arfido Ramadhani Arianty, Alya Dwi ARIF KURNIAWAN Ariyanto, Nova Arnold Adimabua Ojugo Asdani Kindarto Asdani Kindarto Asiva Khoirunisa Budi Santosa Budi Santosa Caesarizky, Ovien Yoga Cornella, Barisma Ami De Rosal Ignatius Moses Setiadi Devy Maharja Pristya Dhendra Marutho Dhendra Marutho Edi Noersasongko Edy Winarno Eny Winaryati Eny Winaryati Ernawati Ernawati Fahrezi, Andrian Faiq Madani Fajar Bima Laksono Febrianto Febrianto Febrianto Febrianto, Febrianto Galih Ratna Hakim, Muhammad Ilham Hannan Isnaen, Muhammad Ilham, Ahmad Irvan Nurmantoro Irvan Nurmantoro Iwan Junaedi Janu Yogi Kurnia Javier Rayhan Jian Janata Juyus Muhammad Adinullhaq Kafitra Marna Ibrahim Kholifatul Afwah Kindarto, Asdani Ku Ruhana Ku-Mahamud Ku-Mahamud, Ku Ruhana Lukman Assaffat Lukman Assaffat Luqman Assaffat Luqman Assaffat M. Amin Syaifani Mahmudah Mahmudah Mardiana Mardiana Meike Amelia Hanifah Melda Saputri Mila Moch Arief Soeleman Mochammad Arief Soeleman Muhammad Sam'an Muhammad Sam'an Muhammad Sam’an Muhammad Sam’an Muhammad Wahyu Anggana Muthia Aulia Rahma Muza'in, Muhammad Nila Kartika Sari Norshuhani Zamin Norshuhani Zamin Nova Ariyanto Nur Faizah Nurmantoro, Irvan Nurul Farah Izzatuna Okta Wijaya, Risky Pulung Nurtantio Andono Purbandanu, Muhammad Wigig Ramadhani, Arfido Ramadhani, Rima Dias Richmond Ampah-Mensah Rima Dias Ramadhani Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Salsabila Rahma Saman, Muhammad Samsudi Raharjo Samsudi Raharjo Sefrina Ainun Shabrina Mirza Siti Muzdalifah Suwahono Suwahono Teguh Firmasyah Tirta Ramadhani Utomo Wendy Sarasjati Wendy Sarasjati Wibowo, Bhanu Lintang Yanuarta, Rizky Yesika Maya Ocktarani Yevi Alviatul Ardhani

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