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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic E-Dimas: Jurnal Pengabdian kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JTERA (Jurnal Teknologi Rekayasa) INTECOMS: Journal of Information Technology and Computer Science JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Building of Informatics, Technology and Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Madaniya Community Empowerment Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Applied Computer Science and Technology (JACOST) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Prosiding University Research Colloquium Borobudur Informatics Review Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Jurnal Informatika Polinema (JIP) Journal Of Computer Science Contributions (JUCOSCO)
Maimunah
Universitas Muhammadiyah Magelang, Magelang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences

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Klasifikasi Penjualan berdasarkan Platform pada UMKM Omah Branded Menggunakan Random Forest Rindiyani Rindiyani; Ardhin Primadewi; Maimunah Maimunah; Annisa Hakim Purwantini
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4949

Abstract

UMKM have a role in development growth to increase state income. Omah Branded which is an UMKM in the Fashion category from small children to adults in the Mungkid area, Magelang Regency, Indonesia. Currently the resulting sales transaction data has not been used to classify or classify sales products based on the sales platform that can affect the revenue of the Branded Omah. Selling products on online platforms is often referred to as digital marketing. It has become widespread and widely applied in Indonesia due to the development of the internet and changing consumers. Easy internet access using wifi or gadgets makes it easier for people to access information about a product or service they are looking for. One of the data mining for classification is the Random Forest Algorithm. The Random Forest algorithm has a random selection in generating child nodes for each node (top node), the classification of each tree is accumulated and the classification results that appear frequently can improve accuracy. In this study, by classifying Omah Branded sales data based on the sales platform using the random forest method, it is hoped that the results of this study can be used as a development solution for taking Omah Branded marketing strategies. The accuracy value using the Random Forest classification on the sales data of this Omah Branded product produces an accuracy of 92% based on the results of the confusion matrix calculation.
IMPLEMENTASI METODE FIFO PADA SISTEM PEMESANAN E-TIKET LOMBA BURUNG BERKICAU BERBASIS WEB Satrio; Emilya Ully Artha; Maimunah
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 16 No. 2 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v16i2.5358

Abstract

Gantangan Jimjog, which is located in the Ponalan Vegetable Market, Muntilan, Magelang Regency, is one of the most crowded bird competitions in the Magelang area. Gantangan Jimjog is still using the manual system in booking tickets. Bird competition participants must first look for bird competition brochures on social media to view information on the chirping bird competition and place an order for tickets by contacting by telephone and it is possible that more than one participant can order the same hanger number. In this study, a web-based bird competition ticket booking system was made at Jimjog by applying the FIFO method. The FIFO method is applied in determining the queue for ordering race tickets based on the customer who is the first to pay, then the first one is given a hanger number according to what was ordered according to the existing quota. The ticket booking system that has been built can increase the time efficiency and productivity of Gantangan Jimjog and make it easier for participants to get information on the availability of bushel numbers.
UPAYA OPTIMALISASI PEMANFAATAN SAMPAH ORGANIK UNTUK BUDIDAYA MAGGOT BERBASIS SISTEM INFORMASI DI KOTA MAGELANG Maimunah Maimunah; Mayu Shofwan Khamid; Teddy Rahardian; Hery Setiawan; Dimas Sandya Nugraha; Muhamad Nurrohman
Abdimas Galuh Vol 4, No 2 (2022): September 2022
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v4i2.8658

Abstract

Pemanfaatan sampah organik dengan media maggot menjadi salah satu upaya yang dapat dilakukan untuk mengurangi limbah atau sampah rumah tangga. Penyediaan sampah atau limbah di beberapa tempat tentunya membutuhkan sistem yang dapat memberikan informasi terkait ada atau tidaknya sampah tersebut. Tujuan dari pelaksanaan kegiatan pengabdian kepada masyarakat ini adalah memanfaatkan sampah organik sehingga dapat bernilai ekonomis dan memberikan manfaat bagi pembudidaya maggot. Metode yang digunakan dalam pelaksanaannya adalah dengan 3 metode, yakni metode observasi untuk mendapatkan informasi sampah organik, metode diskusi untuk membahas mengenai solusi dari permasalahan sampah organik atau sampah sisa-sisa makanan, dan metode sosialisasi dilakukan untuk tata cara penggunaan sistem informasi berupa website agar masyarakat dengan mudah dalam menggunakannya. Hasil pelaksanaan kegiatan ini adalah pembuatan sistem informasi berupa website yang dapat diakses oleh pembudidaya maggot guna diperoleh informasi tentang ketersediaan sampah organik yang dapat digunakan sebagai pakan maggot.
Pendampingan Pembelajaran Literasi, Numerasi, dan Adaptasi Teknologi pada Masa Pandemi Covid-19 di SDN 2 Kutorembet Pristi Sukmasetya; Prihatin Dwihantoro; Ardhin Primadewi; Maimunah; Resa Arif Yudiyanto; Rofi Abul Hasani; Ika Arthalia; Safira Ayu Muthi'ah
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 6 (2022): November 2022 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/altifani.v2i6.291

Abstract

Learning Literacy, Numeration, and Technology Adaptation is now very important for students, especially in elementary school, to strengthen the concept of logical thinking. Literacy is critical because it relates to the child's ability to listen, review, speak to observe so that they can communicate well without being affected by the subject of the audience. At the same time, numeracy skills are defined as the ability to interpret, access, use and link the concepts in mathematics in their application. However, in fact for implementing literacy and numeracy learning in schools is still considered a challenge in itself, colliding with limited access and materials, especially in this Covid-19 pandemic condition. So, this service activity was carried out by maximizing the literacy and numeracy learning mentoring process at the Kutorembet SDN placement location, which took place from August 2, 2021 to December 17, 2021. Activities carried out include teaching and learning activities to provide academic assistance. The key teaching and learning activities focus on literacy and numeracy education activities. Activities to help adapt technology are realized by showing educational videos to students and assistance in ANBK activities, as well as school administrative assistance activities which are realized by maximizing the function of the school library. This activity is carried out online and offline, considering the conditions of the COVID-19 pandemic, which require actions to occur in a hybrid manner. From this activity, it was found that the results of improving literacy and numeracy for elementary school students at SDN 2 Kutorembet and also additional literacy for classroom teachers in preparing existing learning media.
Sistem Klasifikasi Penjualan Produk Alat Listrik Terlaris Untuk Optimasi Pengadaan Stok Menggunakan Naïve Bayes Irfan Reza Pratama; Maimunah Maimunah; Endah Ratna Arumi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4418

Abstract

Optimization is a process of solving a problem so that it can provide the best conditions that can provide a maximum or minimum value. In a business, optimization of stock procurement is an important thing, including in terms of product sales. If the stock of a product is empty then the sales potential decreases. Therefore we need a method to optimize the stock so that it can supply consumer demand and ultimately increase sales. Data mining can be applied in the sales system by creating a sales classification model for the best-selling products. In this study, the sales classification of the best-selling products at electronic stores was carried out using Naïve Bayes. The data used in this study is data on sales of electronic products for 3 months. In the early stages, preprocessing is carried out, namely by encoding labels. Model testing was carried out using percentage split and cross validation with several trials. Through the use of percentage split, the best accuracy is obtained at 93.3% with a comparison of 30% of test data and 70% of training data. The best accuracy using cross validation was obtained by 84% for 7-fold. The classification system that has been created is capable of classifying the best-selling products every quarter of a year. Through the use of the best-selling product classification system, the store can find out the best-selling product stock so that the stock is not empty. Thus the procurement of store stock can be more optimal and sales will increase.
UPAYA PENGEMBANGAN BAKAT KREATIFITAS BAGI SISWA SMK MELALUI PEMBUATAN E-BOOK INTERAKTIF Maimunah Maimunah; Endah Ratna Arumi
PROSIDING SEMINAR NASIONAL LPPM UMP PROSIDING SEMINAR NASIONAL LPPM UMP 2019
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.356 KB)

Abstract

Perkembangan teknologi informasi dan komunikasi telah memberikan pengaruh terhadap dunia pendidikan khususnya dalam proses pembelajaran. Kemampuan mengolah informasi secara cepat,tepat dan efektif di era revolusi industri 4.0 harus dimiliki oleh siswa sebagai generasi muda penerus bangsa. Pengalaman belajar selama di sekolah menjadi suatu hal yang penting agar siswa mampu menghadapi tantangan di masa depan. Salah satu komponen penting yang harus diberikan di sekolah adalah kegiatan membaca dan menulis secara terintegrasi. Electronic Book (E-Book) adalah salah satu media pembelajaran berbasis teknologi yang digunakan untuk proses pengembangan kreatifitas siswa khususnya untuk kegiatan membaca dan menulis . Dalam kegiatan pengabdian masyarakat ini dilakukan pelatihan dan pendampingan pembuatan e-book interaktif bagi siswa SMK Muhammadiyah 2 Mertoyudan Magelang. Pelatihan dilaksanakan dengan tujuan untuk mengembangkan bakat dan kreatifitas siswa SMK di bidang teknologi informasi. Materi pelatihan meliputi pengenalan e-book dan teknis pembuatan e-book menggunakan aplikasi Calibre dan Adobe Photoshop CS3. Pelatihan ini memberikan manfaat bagi siswa dalam membuat ide-ide baru dan menarik yang dapat dituangkan dalam pembuatan e-book interaktif. Akhir dari kegiatan ini menghasilkan 15 e-book modul pembelajaran yang didesain dengan menariksehingga memudahkan dalam proses pembelajaran.
Grouping community reading interests using the k-means clustering method (case study: Magelang district library and archive service) Achmat Mujafar; Mukhtar Hanafi; Maimunah Maimunah
Borobudur Informatics Review Vol 2 No 2 (2022): Vol 2 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/binr.6810

Abstract

So far, the problem of gathering information at the Library and Archives Office of Magelang Regency is relatively low. To increase reading interest, policies are needed to determine reading interest. So the data used is book transaction data. This study aimed to classify people's reading interests according to the number of borrowed books at the Magelang Regency Library and Archives Service using the K-Means Clustering method and to find out which book categories are most in demand by the public at the Magelang Regency Library and Archives Service. One way to manage this data is to use data mining using the K-Means method. The results of this study are low reading interest, evidenced by using 2 clusters and the category of books that are most in-demand Literature with a high cluster strength value, namely with a Silhouette Coefficient value of 0.7354.
Clustering Prevalensi Stunting Balita Menggunakan Agglomerative Hierarchical Clustering Maulina Rizky Anggraeni; Uky Yudatama; Maimunah Maimunah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5501

Abstract

Indonesia is a country that still has a high stunting prevalence rate of around 36%, ranking 5th with the highest stunting prevalence rate. According to the WHO (World Health Organization) this figure has not reached the expected rate, which is below 20%. Out of 180 countries in the world, nutrition problems in Indonesia are ranked 117th which is still far behind neighboring countries, such as Malaysia which is ranked 44th, Vietnam is ranked 58th, Thiland is ranked 64th, and Singapore is ranked 12th. have a stunting prevalence rate above 20%. Clustering is the process of analyzing data to group similar data into one class and different from other classes. This research was conducted using the Agglomerative Hierarchical Clustering Average Linkage method with a bottom-up approach. The data used is the prevalence of stunting in Tegalrejo using data totaling 2397 in January for toddlers and 3256 in February. The results of the clustering form 3 levels of stunting prevalence each month which can be translated into low prevalence, moderate prevalence, high prevalence, these labels are obtained based on the mean value in each cluster. From the clustering results, there were 5 villages with a low prevalence of stunting in January and February. In villages with a moderate prevalence of stunting, there were 12 villages in January and 10 villages in February. In villages with a high prevalence of stunting in January there were 4 villages and in February 6 villages. This means that there are additional villages with a high prevalence of stunting.
Prediksi Volume Sampah di TPSA Banyuurip Menggunakan Metode Backpropagation Neural Network Wahyu Santoso; Maimunah Maimunah; Pristi Sukmasetya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5499

Abstract

The current waste problem is an important issue in many big cities, including Magelang City. The increasing rate of population growth and the decreasing land area for Banyuurip TPSA also makes it difficult for the government to handle waste, causing a negative impact on the environment around the TPSA. Therefore it is necessary to have a prediction of the volume of waste that enters TPSA every day using the Backpropagation Neural Network method so that it can assist the government in preparing budgets, preparing cleaners and estimating the capacity of TPSA in the future. The data used is time series data in the form of waste volume at Banyuurip TPSA from 2019 to 2022. From the results of the Backpropagation Neural Network method with parameters 30-7-1 and 1000 epochs, the best MSE value is 0.018870. The results of the training will then be used to predict the volume of waste the next day.
EfficientNetV2M for Image Classification of Tomato Leaf Deseases Arazka Firdaus Anavyanto; Maimunah Maimunah; Muhammad Resa Arif Yudianto; Pristi Sukmasetya
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5925

Abstract

Favorable climatic conditions make tomato plants (Solanum Lycopersicon) a widely cultivated horticultural crop in Indonesia. However, the increase in tomato production is often accompanied by a decrease in both the quantity and quality of the plants, which can be caused by a variety of factors such as bacteria, fungi, viruses, and insects like Late Blight and Two-Spotted Spider Mite diseases that attack the tomato leaves. To help farmers identify leaf diseases that have similar characteristics, this study employs image processing with the Convolutional Neural Network (CNN) algorithm and transfer learning models. Specifically, the study uses the EfficientNetV2M transfer learning architecture which has superior parameter efficiency and training speed compared to other transfer learning models. Additionally, this study conducts four experimental scenarios on preprocessing, including green channel + CLAHE, green channel + Gaussian Blur, CLAHE without green channel, and Gaussian Blur without green channel. The dataset used in this study includes 5,176 images with three labels: Tomato Healthy, Tomato Late Blight, and Tomato Two-Spotted Spider Mite. These images were used to train and produce models, which were then tested using a different dataset from the trained dataset. The testing dataset included 30 image samples divided into three labels. Based on the test results of the four models with different scenarios, the best model was found to be the one with the green channel preprocessing scenario + CLAHE, which was able to precisely predict all 30 image samples with high accuracy.
Co-Authors Achmat Mujafar Afif Prasetyo Afrilia Putri Permata Sari Ajeng Tri Rahayu Aldi Muhammad Nur Fadli Alfira Nisa Fadhilah Almas Nurfarid Budi Prasetyo Anita Setyowati Srie Gunarti Annisa Hakim Purwantini Arazka Firdaus Anavyanto Ardhin Primadewi Arya Prayoga Daffa Syahnakri Mikola Rusadi Danang Setya Nugraha Devara Avila Sebastian Devi Oktaviani Dimas Sandya Nugraha Dwihantoro, Prihatin Emilya Ully Artha Endah Ratna Arumi Fachri Ilman Fauzandi Fitria Suryatini Hanaki Restu Putri Helmi Naufal Muzakki Henni Lestari Herlawati Herlawati Heru Yusmanto Hery Setiawan Ika Arthalia Imam Saputra Ira Nuryani Irfan Rasyid Irfan Reza Pratama Malikus Sumadyo Maulina Rizky Anggraeni Mayu Shofwan Khamid Muhamad Nurrohman Muhammad Aulia Tegar Pratama Muhammad Devananda Andika Putra Muhammad Resa Arif Yudianto Mukhtar Hanafi Nadila Dwi Saputri Oqi Dyah Larasakti Prima Dina Atika Purwono Hendradi Raden Kartika Satya Suryanegara Rahendra Firman Sunartama Rahmadya Trias Handayanto Resa Arif Yudianto Resa Arif Yudianto Resa Arif Yudiyanto Rindiyani Rindiyani Rofi Abul Hasani Safira Ayu Muthi'ah Salsabila Putri Abhiseka Satrio Seta Samsiana Sukmasetya, Pristi Teddy Rahardian Uky Yudatama Venia Almira Wahyu Santoso Yantria Gusta Nugraha Yusril Febriyanto