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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 Computing and Information System Journal Jurnal Komtika (Komputasi dan Informatika)
Ardhin Primadewi
Universitas Muhammadiyah Magelang, Indonesia
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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Penerapan Metode Naive Bayes Dalam Rekomendasi Strategi Penerimaan Peserta Didik Baru Afan Hafara Sani; Agus Setiawan; Ardhin Primadewi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2438

Abstract

New Student Admission (PPDB) is a school spearheading activity in getting students, especially for private schools. SMK Muhammadiyah 1 Borobudur as one of the private vocational schools in Magelang Regency. SMK Muhammadiyah 1 Borobudur has problems related to the PPDB promotion strategy. The PPDB promotion that has been carried out has not fully shown a significant promotion growth to increase the number of students registering each year and PPDB information has not yet reached remote areas of Magelang Regency. In determining the promotion media for PPDB SMK Muhammadiyah 1 Borobudur, this study uses the Naïve Bayes algorithm. Naïve Bayes is a classification method using probability and statistics to predict future opportunities based on the past. By using the nave Bayes algorithm which is applied with a ratio of 70:30 for train data and test data, it is able to produce an accuracy of 72%. To maximize the results of data accuracy, this study used the k-fold cross-validation method with k=10 times resulting in an accuracy of 75%. In addition, it can be seen that 3 PPDB information is recommended for promotional media, namely student partners, alumni and Instagram.
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.
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 NUR ARIFAH 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