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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) International Journal of Artificial Intelligence Research Jurnal Komtika (Komputasi dan Informatika) Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Jurnal Komtika (Komputasi dan Informatika)

Uky Yudatama, Uky

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Author-ID : 537989

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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REDIKSI KETERSEDIAAN STOK KAYU DENGAN METODE BACKPROPOGATION DAN JARINGAN KOHONEN (Studi Kasus Ud. Wahyu Nugroho Grabag Magelang) Yulfikar, Muhammad; Yudatama, Uky; Artha, Emilya Ully
Jurnal Komtika Vol 2 No 2 (2018)
Publisher : Universitas Muhammadiyah Magelang

Jaringan syaraf tiruan merupakan salah satu teknologi komputer dalam bidang kecerdasan buatan yang mampu memahami pola data yang rumit. Salah satu kemampuan teknologi JST adalah mampu memprediksi sebuah keluaran berdasarkan pola data pelatihan yang diberikan saat proses pembelajaran sistem. Pada penelitian ini, JST akan mencoba memprediksi persediaan stok kayu. Backpropagation merupakan algoritma pembelajaran terawasi yang dapat memperbaiki bobot pada masing-masing lapisan penghubung hingga diperoleh bobot terbaik dengan minimum error yang telah diberikan. Sedangkan Kohonen merupakan jaringan yang dipakai untuk membagi pola masukan kedalam beberapa kelompok (cluster). Aplikasi ini memiliki struktur jaringan yang terdiri dari 6 neuron masukan, 100 neuron pada lapisan tersembunyi, dan 1 dan 6 neuron pada lapisan keluaran. Jumlah keseluruhan data yakni 365 data, 250 data digunakan untuk data pelatihan, dan 115 digunakan untuk data pengujian. Mesin pemrediksi ini menggunakan iterasi maksimal sampai 100.000 epochs, konstanta pembelajaran 0.5, momentum 0.9, serta tingkat error minimum 0,001. Dengan variasi nilai dari komponen backpropagation dihasilkan prediksi sebesar kurang dari 150m3/bulan., Sedangkan dari bobot yang dihasilkan akan diprediksi dengan metode Kohonen dan menghasilkan prediksi pengeluaran stok kayu perbulan. Berdasarkan hasil pengujian terhadap 115 data pengujian, prosentase tingkat keakuratan sistem adalah 73,9 % . Pengurangan konstanta pembelajaran dan penambahan data pelatihan mungkin dapat meningkatkan keakuratan sistem dalam melakukan prediksi.

PANDUAN JALUR ANGKUTAN UMUM MENGGUNAKAN ALGORITMA FLOYD WARSHALL Fatmala, Fungki; Yudatama, Uky; Burhanuddin, Auliya
Jurnal Komtika (Komputasi dan Informatika) Vol 3 No 1 (2019)
Publisher : Universitas Muhammadiyah Magelang

Public transportation as one of the most easily found transportation for tourists to visit a tourist destination. There are 12 public transportation lines in Magelang. The large number of public transport lines caused problems for tourists to choose which lines of transportation to get in. The purpose of this research is to develop a guide for public transportation for tourist destination in Magelang usin Floyd Warshall Algorithm. Floyd Warshall's algorithm provides the shortest path recommendation by calculating all vertices, then calculating all possible routes from the initial location to the final destination to determine the total distance travelled on each route. After knowing the total distance on all routes, the system will display the shortest path as a recommendation. From the test results obtained that the system being built is feasible to be used and is able to find the shortest route for determining public transport lines in the city of Magelang Angkutan umum sebagai salah satu transportasi yang paling mudah ditemui untuk digunakan wisatawan dalam mengunjungi suatu objek wisata. Terdapat 12 jalur angkutan umum yang ada di Kota Magelang. Banyaknya jumlah jalur angkutan umum tersebut menjadikan permasalahan bagi wisatawan dalam memilih angkutan yang akan digunakan. Tujuan dari penelitian adalah membangun aplikasi panduan jalur angkutan umum untuk tempat wisata di Kota Magelang dengan menggunakan Algoritma Floyd Warshall. Algoritma Floyd Warshall memberikan rekomendasi jalur terpendek dengan melakukan perhitungan dari semua simpul, kemudian melakukan perhitungan pada semua kemungkinan rute dari lokasi awal sampai lokasi akhir untuk mengetahui total jarak yang dilalui pada masing-masing rute. Setelah diketahui total jarak pada semua rute sistem akan menampilkan jalur terpendek sebagai rekomendasi. Dari hasil pengujian diperoleh bahwa sistemyang telah dibangun layak digunakan dan mampu mencari rute terpendek untuk penentuan jalur angkutan umum di Kota Magelang

MEDIA KONSULTASI PENYAKIT KULIT PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR Utari, Sudi; Yudatama, Uky; Pujiarto, Bambang
Jurnal Komtika (Komputasi dan Informatika) Vol 3 No 1 (2019)
Publisher : Universitas Muhammadiyah Magelang

The skin, which is the largest part  of the human body, is the body's first defense against bacterial and virus attacks. When the skin is exposed to the sun, dry weather, or bacteria, the reaction will spread to other parts of the body, and can even result in death if it is too late to be handled especially if the sufferers are children who are very vulnerable to disease. In this study an expert system was implemented to diagnose skin diseases in infants using the certainty factor method. certainty factor method is very suitable for expert systems that diagnose something that is uncertain. This system makes a diagnosis based on the symptoms felt by the user and then calculates certainty factors based on existing symptoms. Based on the test results by making comparisons between manual calculations and the one carried out by the system it is known that 90.22% of the diagnosis results get the same results so that the system is said to be suitable for use.  

Peningkatan Kualitas Media Pembelajaran Dengan Google Sites Pada Guru SMK 1 Windusari Magelang Hasani, Rofi Abul; Yudatama, Uky; Yudianto, Resa Arif; Sukmasetya, Pristi; Maimunah, Maimunah
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 5 No. 2 (2022): June 2022
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/j3vvyy86

Technology has changed the teaching and learning process in the world of education. The most visible change is the use of learning media in schools. The presence of digital media provides a variety of educational innovations, where rigid and monotonous conventional learning will be replaced by learning using digital media which is considered more practical, flexible, and not limited by space and time. One of the learning media is a website. Based on the results of interviews with teachers at SMK Negeri 1 Windusari, they said the importance of online learning media, especially when online learning demands. Therefore, in this PKM, the authors carry out google sites training activities to improve the ability of teachers of SMK Negeri 1 Windusari to create learning media. After training on making teaching media using google sites will help teachers in making interesting learning materials and conveying them to students. So that this activity will provide good benefits to teachers, students, and SMK N 1 Windusari, Magelang Regency. Many teachers were previously reluctant to use making websites because of difficulties. However, after this training, the teachers at SMK Negeri 1 Windusari began to be enthusiastic about making learning media using google sites. Because using google sites is quite easy for teachers to do.

Forecasting Optimalization in Spare Part Inventory Applications on XYZ Temanggung Outlet Ltd. Anwar, Tulkhah Mubasyir; Yudatama, Uky; Primadewi, Ardhin
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 3 No. 2 (2024): Crafting Innovation for Global Benefit
Publisher : Universitas Muhammadiyah Yogyakarta

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

XYZ Magelang Branch Ltd is a company engaged in the automotive sector, which supported by three outlets. The name of the outlet are Temanggung Outlet, Purworejo Outlet, and Kebumen Outlet. The Temanggung Outlet is one of the outlet with the highest number of services compared to the others. The impact of having the highest number of services is that the demand for spare parts is also the highest compared to the other outlets. To overcome the demand for spare parts at the Temanggung Outlet, an inventory application is needed to manage spare parts with the implementation of forecasting to determine the stock of spare parts for the upcoming period. In this research, the forecasting calculation is carried out by utilizing the historical calculation of the outgoing transaction data in the inventory application. The data obtained from the sales transaction report is in the form of spare parts sales with a data quantity of 30 items, selected from the top 30 spare parts sales. The calculation process using the Single Moving Average (SMA) forecasting is validated using Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). In this research manuscript, SMA has MAPE error with range 0% up to 62.069% compared to the conventional method, which has range 16% up to 83%.

Metode Cosine Similarity pada Penilaian Essay Perkaderan Ikatan Mahasiswa Muhammadiyah Anggraini, Novi Kusuma; Yudatama, Uky; Maimunah, Maimunah
CESS (Journal of Computer Engineering, System and Science) Vol 9, No 1 (2024): January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i1.55475

Perkaderan persyarikatan merupakan suatu program yang dilaksanakan oleh Muhammadiyah baik ditingkat pusat maupun bawahnya dan menjadi bagian inti dalam perjalanan organisasi Muhammadiyah. Perkaderan utama di Muhamamdiyah dibagi menjadi 2 (dua) yaitu Darul Arqam dan Baitul Arqam. Dalam pelaksanaannya juga terdapat evaluasi pembelajaran yaitu pre-test dan post-test. Pre-Test dilaksanakan sebelum materi disampaikan, sedangkan post-test dilaksanakan setelah materi disampaikan. Evaluasi ini berbentuk soal esai yang bersangkut pautan dengan materi yang akan diberikan. Jawaban peserta yang bervariasi dan waktu yang padat menjadi tantangan tersendiri untuk mengoreksinya, dan membutuhkan waktu yang lebih banyak lagi ditambah dengan harus memasukkan nilai ke sistem perkaderan secara manual. Penelitian ini menerapkan text mining dengan menggunakan metode cosine similarity untuk melakukan penilaian otomatis pada soal esai pre-test dan post-test. Hasil perhitungan pada soal pre-test mendapatkan hasil tertinggi dengan tingkat persamaan 77,46% oleh peserta 1 pada soal 4 dan peserta 2 pada soal 3, dan post-test dengan hasil tertinggi 100% oleh peserta 1 pada soal 4. Sedangkan untuk hasil 0,0 yang diperoleh beberapa peserta dikarenakan term antar kunci jawaban dan jawaban peserta tidak memiliki persamaan.

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

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

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.

Prediksi Curah Hujan di Kabupaten Magelang Menggunakan Metode Fuzzy Time Series Untuk Mendukung Pengambilan Keputusan Kasih, Ginanjar Prianggoro; Yudatama, Uky; Widyanto, R Arri
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.v6i2.6448

Rainfall prediction is an important aspect in water resource management, agriculture and disaster mitigation. Magelang Regency, as one of the regions in Indonesia that has high rainfall variability, requires accurate prediction methods to support planning and decision making. This research aims to apply the Fuzzy Time Series method which is known to be effective in handling uncertain and fluctuating time series data in predicting rainfall in Magelang Regency. Monthly rainfall data for 2022–2024 used in this research was obtained from the Public Works and Spatial Planning Department. The research results show that the Fuzzy Time Series method is able to provide rainfall predictions with a good level of accuracy. This is indicated by the Mean Absolute Percentage Error (MAPE) value of 16.19%, which is in the good category according to prediction standards. This success shows that the Fuzzy Time Series method can be an effective alternative in predicting rainfall, especially in areas that have complex rainfall patterns such as Magelang Regency.

Artificial Intelligence Influence In Education 4.0 To Architecture Cloud Based E-Learning System Hendradi, Purwono; Ghani, Mohd Khanapi Abd; Mahfuzah, S.N; Yudatama, Uky; Prabowo, N Agung; Widyanto, R Arri
International Journal of Artificial Intelligence Research Vol 4, No 1 (2020): June
Publisher : Universitas Dharma Wacana

Business Application Layer in the Architecture of E-learning cloud is an important part, because it is the part that differentiates it from the application of cloud in other fields. The development of education today recognizes the term Education 4.0 which is an adaptation of the Industrial era 4.0 where in this era the role of Artificial Intelligent is important. In this paper the author will review a part of the cloud-based architecture of E-Learning which will correspond with Education 4.0. The aim will be to produce a Cloud-Based E-learning system Architecture design that can be used as a guideline in the direction of Education 4.0.

Co-Authors AGUS PURWANTO Anggraini, Novi Kusuma Anwar, Tulkhah Mubasyir Ardhin Primadewi Auliya Burhanuddin Bambang Pujiarto Dimas Sasongko Emilya Ully Artha Endah Ratna Arumi, Endah Ratna Erlinda, Reza Ena Fatmala, Fungki Fendy Suhariadi Ghani, Mohd Khanapi Abd Harmadji, Dwi Ekasari Hasani, Rofi Abul Jalaluddin, Alif Kasih, Ginanjar Prianggoro Mahfuzah, S.N Maimunah, Maimunah Muhammad Abdul Karim, Muhammad Abdul Muhammad Resa Arif Yudianto Nindhy Prastiwi, Maulidina Nugroho Agung Prabowo Pamungkas, Eko Joko Prabowo, N Agung Purwono Hendradi R Arri Widyanto Sambodo Sriadi Pinilih Sebastian, Devara Avila Solikhin Solikhin Sugiarti, Rini Sukmasetya, Pristi Utari, Sudi Yudianto, Resa Arif Yulfikar, Muhammad Yulfikar, Muhammad

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