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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komtika (Komputasi dan Informatika) Journal of Community Services and Engagement JURIKOM (Jurnal Riset Komputer) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Ainet : Jurnal Informatika Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Madaniya Community Empowerment Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Jurnal Atma Inovasia Urecol Journal. Part E: Engineering Urecol Journal. Part D: Applied Sciences Prosiding University Research Colloquium Borobudur Informatics Review Jurnal Komtika (Komputasi dan Informatika)
Ardhin Primadewi
Universitas Muhammadiyah Magelang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Prediksi Bahan Baku Kerupuk Rambak UMKM Tiga Berlian dengan Single Moving Average Sebastian, Devara Avila; Yudatama, Uky; Primadewi, Ardhin
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5604

Abstract

The "Tiga Berlian" rambak cracker MSME is an MSME in the snack food sector located in Banyuwangi Bandongan Village which produces crackers made from cowhide. Rambak crackers are a superior product with total demand per month reaching 150 kg. Tiga Berlian UMKM has difficulty in predicting and calculating raw material supplies for the coming period so excess raw material stock often occurs, such as cowhide or buffalo as the main raw material that is wasted due to uncertain demand. Single Moving Average (SMA) is used as a prediction method for raw materials in Tiga Berlian. Calculations with several periods (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, and 11) will be tested for accuracy using MAD, MSE and MAPE. The 11 predictions made with Tiga Berlian raw material data for 12 months, the 11th-period calculation resulted in a MAD value of 2.56198, a MAPE value of 2.561983, and an MSE value of 72.20135 as the smallest and most relevant accuracy value.
Peramalan Stok Penjualan Sahabi Frozen Food dengan Weighted Moving Average Karim, Muhammad Abdul; Yudatama, Uky; Primadewi, Ardhin
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5824

Abstract

Jajan Sahabi Frozen Food (Jajan Sahabi) is a small and medium-sized enterprise (SME) located in Secang, Magelang, offering various types of frozen foods such as burgers, meatballs, and fries from multiple brands. Currently, inventory tracking at Jajan Sahabi is still conducted manually using a logbook, while stock replenishment is carried out weekly based on the remaining inventory. This approach leads to stock imbalances, either resulting in overstock, which may cause losses, or understock, which could lead to customer dissatisfaction. Forecasting is employed as an alternative decision-making tool to predict product demand based on historical data over a certain period. This study analyzes meatball sales reports from January 2022 to December 2022 using the Weighted Moving Average (WMA) method. The accuracy of the forecasts was evaluated using Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). The forecast results for January 2023 indicate that Meatball Ori is expected to sell 216.3 pieces with a MAD of 76.81 and a MAPE of 53.90%. Meatball Kanzler showed the best performance with a MAPE of 28.80% and a MAD of 28.53. In contrast, Meatball Ikan, Meatball Ikan TL, Meatball Fish dan Shrimp, Meatball Cheese Kanzler, and Meatball Wahid exhibited lower accuracy, with MAPE values ranging from 29.03% to 53.90%. These results suggest that the WMA method produces varying outcomes depending on the product, indicating that further adjustments may be necessary to enhance accuracy.
Student Perceptions of Online Learning: Student Opinions and Expectations: Persepsi Mahasiswa Terhadap Pembelajaran Secara Online: Pendapat dan Harapan Mahasiswa Ismunandar, Denni; Primadewi, Ardhin; Amalia, Sofri Rizka
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 6 No. 2 (2021): Mathline
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v6i2.234

Abstract

The case of Covid-19 affects the world of education. One of the consequences is that learning to be carried out online is decided by the Indonesian government. However, in learning, this strategy is burdensome for learners. The goal of this case study is to find out student opinions on online applications are used, what their challenges are, and what online learning expectations of students are. This research uses a questionnaire to find out student opinions using a Google form. Ninety-two students from various universities were the number of respondents. To get results, the questionnaires that have been collected are evaluated manually. The outcome of this study is that most of the software used by lecturers was unable to enhance the comprehension of the content being learned by students. During this pandemic, the hope of students in learning is to increase discussion time and time to complete assignments, not too many assignments, and the strategy of the university to have internet quota buying subsidies
Pengembangan Katalog Digital untuk Kelompok Tani Gandusari Hijau di Bandongan, Magelang: Meningkatkan Aksesibilitas Informasi Tanaman Primadewi, Ardhin; Suwarni Wahyudiningsih , Tri; Ainul Yaqin, Slamet; Miko Firmansyah, Aditya; Adiwidya Pratama, Naufal; Bagus Ferdiansyah, Shandy
Jurnal Atma Inovasia Vol. 5 No. 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i1.10210

Abstract

Tim Pengabdian Masyarakat Universitas Muhammadiyah Magelang bersama dengan Kelompok Tani Gandusari Hijau, Bandongan, Magelang telah mengembangkan sebuah katalog digital. Proyek ini diawali dengan sosialisasi dan pendampingan kepada Petani gandusari Hijau tentang pembudidayaan serta pembibitan tanaman non endemik. Berdasarkan hasil diskusi dan analisis kebutuhan yang mendalam dengan petani, tim pengabdian masyarakat menentukan fitur-fitur dalam katalog digital tanaman. Fitur-fitur tersebut antara lain meliputi pencarian tanaman berdasarkan kategori, informasi detil tanaman, tips perawatan, serta forum diskusi untuk petani. Katalog digital ini dirancang untuk menjadi sumber daya komprehensif yang dapat diakses melalui perangkat mobile. Katalog digital ini memudahkan petani dalam mengakses informasi yang relevan kapan saja dan di mana saja. Inisiatif ini diharapkan dapat membantu petani Gandusari Hijau dalam mengelola kegiatan pertanian mereka secara lebih efektif dan meningkatkan produktivitas serta keberlanjutan usaha tani mereka khususnya tanaman non endemic dengan segala jenisnya.
Strategi Penggalangan Dana Masjid Berbasis Online Melalui Website Dan Crowdfunding Haidar, Muhammad Hilmy; Primadewi, Ardhin; Nugroho, Setiya
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1425

Abstract

There are problems in managing mosque fundraising, namely lack of clarity and lack of responsibility in reporting which can cause mosque financial reports to the congregation to be simplistic.This research examines various aspects that need to be considered when raising funds for mosques via online platforms or involving websites and crowdfunding. The focus of the research is focused on analyzing strategies, obstacles and solutions that arise in implementing mosque fundraising using website and crowdfunding platforms. The aim of this research is to analyze the system creation process that emerges in implementing mosque fundraising using website and crowdfunding platforms. The method used in this research is a software development method which involves steps such as communication, planning, system design, program creation, and system testing. The system can operate effectively and meet user needs as well as the mosque's fundraising goals. Evaluation of feedback from users during testing helps determine the extent to which the system meets their expectations and needs.
Analisis Kepuasan Masyarakat terhadap Pelayanan Publik menggunakan K-Means Clustering Hariyanto, Yenik; Primadewi, Ardhin; Hanafi, Mukhtar
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6577

Abstract

This study aims to analyze data clustering using the K-Means Clustering method in order to understand certain patterns contained in public satisfaction data on public services. The problem of this study focuses on how to optimally group data to evaluate the quality of service indicators based on 9 indicators in the Public Satisfaction Survey (SKM). The purpose of this study is to divide data into several clusters so that it can provide a clear picture of the differences in quality between service groups. The method used in this study is the K-Means Clustering method, which consists of several stages, namely determining the number of clusters, determining the initial center point, calculating the distance of data to the center point, grouping data, updating the center point, and providing cluster labels. Evaluation of the quality of clustering results is carried out using two evaluation metrics, namely the Silhouette Score and the Davies-Bouldin Index. The results showed that the data was divided into two clusters with a Silhouette Score value of 0.515 which indicated a fairly good clustering quality. In addition, the Davies-Bouldin Index value of 0.784 indicates that the clusters formed have a fairly good distance between each other. The results of this analysis provide an overview that the first cluster has a higher quality of service compared to the second cluster based on the average value of the service indicators measured. This study is useful in providing more structured and accurate information regarding service quality, so that it can be a basis for policy makers to improve service performance in the future. In addition, this study can also be a reference for further research in the application of the K-Means method for similar cases with a focus on evaluation and development of public services.
Rekomendasi Wisata Kabupaten Magelang menggunakan Metode Content-Based Filtering dan Location-Based Service Dwi Aryanto, Agus; Primadewi, Ardhin; Agung Prabowo, Nugroho
JURNAL FASILKOM Vol. 15 No. 1 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i1.8156

Abstract

Kabupaten Magelang dikenal memiliki beragam destinasi wisata, mulai dari keindahan alam, situs sejarah, hingga objek wisata budaya. Jumlah kunjungan wisatawan ke wilayah ini terus meningkat setiap tahunnya, baik dari wisatawan domestik maupun mancanegara. Namun demikian, banyaknya pilihan destinasi seringkali menimbulkan kebingungan bagi wisatawan dalam menentukan tujuan yang sesuai dengan preferensi mereka. Untuk mengatasi permasalahan ini, dikembangkan sebuah sistem rekomendasi wisata dengan menggabungkan metode Content-Based Filtering (CBF) menggunakan cosine similarity dan Location-Based Service (LBS) dengan rumus haversine. Data yang digunakan mencakup 173 destinasi wisata di Kabupaten Magelang, termasuk nama, jenis wisata, fasilitas yang tersedia, serta koordinat geografis. Proses perhitungan diawali dengan one-hot encoding terhadap preferensi pengguna dan atribut wisata, dilanjutkan dengan perhitungan kemiripan berdasarkan jenis dan fasilitas wisata. Nilai kemiripan tersebut kemudian dikombinasikan dengan jarak geografis (menggunakan rumus haversine) untuk menghasilkan skor total. Hasil rekomendasi berupa 10 destinasi wisata dengan skor tertinggi yang dipilih dalam skenario 1. Destinasi dengan skor tertinggi adalah Talang Londo (skor: 0,9586), diikuti oleh Rumah Kamera, Omah Mbudur, Punthuk Mongkrong, dan Limanjawi Art House. Temuan ini menunjukkan bahwa kombinasi metode CBF dan LBS efektif dalam menghasilkan rekomendasi wisata yang relevan dan sesuai preferensi bagi wisatawan di Kabupaten Magelang.
Pemberdayaan Anak dan Masyarakat melalui Edukasi Sosial serta Pelestarian Lingkungan di Kabupaten Magelang, Indonesia Primadewi, Ardhin; Purnomo, Tuessi Ari; Sani, Faozan Asrul; Setiawan, Akhmad Fajar; Susanti, Erma; Saniyah, Saniyah; Fitrianingsih, Ari; Nuryati, Istin
Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2025): Abdi Wiralodra
Publisher : universitas wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/abdi.v7i1.353

Abstract

Kegiatan pengabdian masyarakat ini dilatarbelakangi oleh masih rendahnya kesadaran anak-anak dan masyarakat sekitar dalam memahami isu sosial, termasuk kasus perundungan dan kekerasan, serta kurang optimalnya keterlibatan mereka dalam menjaga kelestarian lingkungan. Untuk menjawab permasalahan tersebut, kegiatan ini bertujuan meningkatkan kapasitas dan kesadaran anak-anak serta masyarakat sekitar di MIM Pabelan dan PAY Muhammadiyah Pabelan, Kabupaten Magelang, melalui pendekatan edukatif dan lingkungan. Program dilaksanakan antara Oktober hingga Desember 2024 dengan lima rangkaian kegiatan utama, yaitu: (1) edukasi anti-bullying, (2) edukasi kekerasan seksual, (3) penyebaran benih ikan untuk restorasi lingkungan dan ekonomi lokal, (4) penanaman bibit pohon sebagai bentuk penghijauan, serta (5) workshop kesiapsiagaan bencana. Penyampaian materi dilakukan melalui metode ceramah interaktif, diskusi kelompok, dan simulasi. Data diperoleh melalui observasi lapangan, kuesioner, dan dokumentasi kegiatan. Peningkatan pemahaman siswa diukur menggunakan pre-test dan post-test sederhana yang menilai tingkat pengetahuan mereka sebelum dan sesudah kegiatan. Hasil kegiatan menunjukkan adanya peningkatan pemahaman siswa terhadap isu-isu sosial, komitmen terhadap pelestarian lingkungan, dan peningkatan partisipasi masyarakat dalam menjaga keberlanjutan sumber daya lokal. Kegiatan ini diharapkan menjadi model integratif pengabdian masyarakat yang berkelanjutan dengan pendekatan multisektor: pendidikan, lingkungan, dan sosial.
Implementasi Metode Technique for Order of Preference by Similarity to Ideal Solution Untuk Prioritasasi Objek Wisata Wibowo, Andi; Primadewi, Ardhin; Artha, Emilya Ully
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.6312

Abstract

Tourist attractions are anything that draws people's attention to visit a particular destination. Magelang Regency, Central Java, has significant natural tourism potential, especially in mountainous areas like Mount Sumbing, which attracts both domestic and international tourists. However, many tourists face difficulties in choosing a destination that aligns with their preferences. This research aims to develop and implement the TOPSIS method to assist tourists in selecting the best attractions in the Mount Sumbing area based on various criteria such as distance, facilities, cost, comfort, and scenery. The TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) was chosen for its ability to evaluate alternatives by comparing positive and negative ideal solutions, providing objective and accurate ranking results. By applying the TOPSIS method to the evaluation of tourism alternatives, preference values are calculated to determine the best option. The results show that alternative 3 Nepal Van Java has the highest preference value, which is 0.7920. The findings provide relevant rankings of tourist attractions, offering valuable guidance for tourists and tourism managers in optimizing the tourism experience in the area.
Peningkatan Kewirausahaan bagi Mahasiswa Universitas Muhammadiyah Magelang Setiawan, Agus; Al Manan, Oesman Raliby; Primadewi, Ardhin; Purnomo, Tuessi Ari
Prosiding University Research Colloquium Proceeding of The 8th University Research Colloquium 2018: Bidang Pendidikan, Humaniora dan Agama
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Universitas Muhammadiyah Magelang (UMMgl) mempunyai visi “Unggul dalam Ilmu, Islami dalam Perilaku” yang dimana bertanggung jawab untuk memberikan bekal terhadap mahasiswanya untuk mandiri setelah lulus dari perguruan tinggi. Untuk menyiapkan itu maka UMMgl menekankan kepada seluruh mahasiswa untuk menjadi entrepreneur yang mandiri dan unggul, untuk menuju ke sana memang tidak mudah. Proses – proses dari kurikulum, magang, dan inkubator entrepreneur pun perlu disiapkan secara matang dan terstruktur. Menjadi wirausaha memang tidak mudah, membutuhkan mentor dan bimbingan yang tepat agar berhasil nantinya menumbuhkan jiwa kewirausahaan yang intinya adalah kemandirian pada jiwa mahasiswa UMMgl. Metode yang diusulkan dalam proposal ini melalui bebrapa tahapan pendampingan yang intensif, diantaranya adalah: 1) Pelatihan di kelas dengan narasumber dan praktisi kewirausahaan dalam bentuk ceramah, diskusi, studi kasus, discovery eksplorasi, simulasi, dan testimoni; 2) magang pada industri mitra untuk meningkatkan ketrampilan manajerial, keuangan, teknis, dan pembangunan jiwa kewirausahaan; 3) studi banding untuk mendapatkan penjelasan langsung di tempat industri dari pemilik; 4) pola pembimbingan;5) pola pengawasan; 6) pola pemberian bantuan pembiayaan untuk tenant. Hasil dari Program ini dibentuk 5 tenan yang sudah diseleksi dan dipandang mampu menjadi wirausaha siap bersaing di masyarakat.
Co-Authors Aditia, Dwi Rino Adiwidya Pratama, Naufal Afan Hafara Sani Afan Hafara Sani Agus Setiawan Aini, Meilinda Citra Nur Ainul Yaqin, Slamet Al Manan, Oesman Raliby Al Manan, Oesman Raliby Amalia, Sofri Rizka ANDI WIBOWO Andi Widiyanto Andre Saputro Annisa Hakim Purwantini Anwar, Tulkhah Mubasyir Bagus Ferdiansyah, Shandy Damas A Karim Dedy Hermawan Syahrir Dianita Yuswanti Dimas Sasongko Dimas Sasongko Dimas Sasongko Duanna Purnamasari Dwi Aryanto, Agus Dwihantoro, Prihatin Emilya Ully Artha Endah Ratna Arumi Endah Ratna Arumi, Endah Ratna Erma Susanti F Fadloil Fadhilah, Alfira Nisa Fadloil, F Fakhrur Rozi, Fakhrur Faruq Ardana Kurniawan Febiawan, Muhamad Hendra Fitrianingsih, Ari Haidar, Muhammad Hilmy Haka, Qosim Nurdin Hanaki Restu Putri Hariyanto, Yenik Hasani, Rofi Abul Ika Arthalia Imam Saputra Ismunandar, Denni Maimunah Maimunah, Maimunah Meidar Hadi Avizenna Meilinda Citra Nur Aini Miftakhul Fauzi Miko Firmansyah, Aditya Muhammad Abdul Karim, Muhammad Abdul Muhammad Ikhsan Muhammad Ikhsan Muhammad Nuzril Isro Muhammad Resa Arif Yudianto Mukhtar Hanafi Nugraha, Januar Adi Nugraha, Januar Adi Nugroho , Setiya Nugroho Agung Prabowo Nuryani, Ira Nuryanto Nuryati, Istin Oesman Raliby Al Manan Pradana, Orisa Deva Purnomo, Tuessi Ari Purnomo, Tuessi Ari Putri, Hanaki Restu Qosim Nurdin Haka R Arri Widyanto Rahmawati, Catur Resa Arif Yudiyanto Rindiyani Rindiyani Rofi Abul Hasani Romi Yunma Akbar Safin, Fatih Ali Safira Ayu Muthi'ah Sani, Faozan Asrul Saniyah, Saniyah Sebastian, Devara Avila Septiawan Rofendi Setiawan, Agus Setiawan, Akhmad Fajar Setiya Nugroho Setiya Nugroho Sidik Priyo Utomo Sukmasetya, Pristi Sunarni Sunarni Suryantoro, Wahyu Aji Suwarni Wahyudiningsih , Tri Syahidan C Rohmana Syahrir, Dedy Hermawan tri wahyuni Tuessi Ari Purnomo Tulkhah Mubasyir Anwar Uky Yudatama Uky Yudatama Uky Yudatama, Uky Utomo, Sidik Priyo Widyanto, R.Arry Yustin Yustin Yustin Yustin