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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi Rainstek : Jurnal Terapan Sains dan Teknologi Khirani: Jurnal Pendidikan Anak Usia Dini BIMASAKTI
Ahsan, Moh
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Implementasi Metode Single Moving Average dan Double Moving Average untuk Memprediksi Populasi Sapi Potong di Jawa Timur Syarif Hidayat, Yusron; Aziz, Abdul; Ahsan, Moh
RAINSTEK: Jurnal Terapan Sains dan Teknologi Vol. 5 No. 3 (2023): September
Publisher : Fakultas Sains dan Teknologi Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jtst.v5i3.9120

Abstract

Berdasarkan data Dinas Peternakan yang terpublis di Badan Pusat Statistik Jawa Timur ( BPS ) menunjukkan jumlah populasi Sapi Potong di Kota / Kabupaten di Jawa Timur mengalami peningkatan dan penurunan dari tahun ke tahun. Tujuan dari penelitian ini adalah mengetahui tingkat akurasi populasi sapi potong menggunakan metode Single Moving Average (SMA) dan Double Moving Average (DMA) karena dari jurnal yang telah diperoleh peneliti menunjukkan bahwa metode Single Moving Average dan Double Moving Average memiliki nilai akurasi MAPE dibawah 10%. Metode untuk mengetahui tingkat akurasi dalam penelitian ini diuji akurasi error menggunakan Mean Absolut Deviation (MAD) dan Mean Absolut Percentage Error (MAPE). Metode Single Moving Average dan Double Moving Average dalam penelitian ini juga diimplementasikan untuk memprediksi populasi sapi potong menggunakan Python dengan hasil yang sama dengan perhitungan manual. Kualitas prediksi yang dihasilkan dalam pengujian oleh peneliti dengan data aktual pada tahun 2022 menggunakan metode SMA (Single Moving Average) dan DMA (Double Moving Average) dengan periode 3 tahun atau interval 3 berjumlah 5.018.296,00, MAD 1.876,22, dan MAPE 4,99% untuk periode 4 tahun atau interval 4 berjumlah 5.036.615,04, MAD 1.728,85, MAPE 5,97%. Berdasarkan hasil yang diperoleh dapat disimpulkan bahwa metode Single Moving Average dan Double Moving Average interval 4 atau periode 4 tahun bisa dikategorikan prediksi sangat baik dikarenakan jumlah prediksi mendekati data aktual dan nilai MAPE kurang dari 10%.
Deteksi Leukemia Limfoblastik Akut menggunakan Convolutional Neural Network Akbar, Mutaqin; Prasetyaningrum, Putri Taqwa; Setyaningsih, Putry Wahyu; Ahsan, Moh; Budianto, Alexius Endy
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.34168

Abstract

Acute lymphoblastic leukemia is the most important type of childhood leukemia, and accounts for 25% of childhood cancers. Accurately differentiating normal cell precursors from cancer cells is key to the diagnosis of acute lymphoblastic leukemia (ALL). However, under a microscope, cancer cells are so similar to normal cells that it is difficult to classify them. This article presents a detection of acute lymphoblastic leukemia using Convolutional Neural Network (CNN). The dataset which is obtained from ALL_IDB is 582 color image data which is divided into 482 training image data and 100 testing image data. The image data will be resized to 128x128x3 before being input to the CNN model. The CNN model used in this study is a multi-scale CNN which consists of 3 convolution layers (filter size of 3x3, number of filters for each convolution layer is 32, 64, and 128 respectively, and ReLU activation function), 3 subsampling layers using maxpool with filter size of 2x2 , 1 concatenate layer is used to combine the output of each subsampling layer, 1 fully-connected layer with a softmax activation function and a cross-entropy error function, and finally an output layer with 2 classes, namely normal cells and cancer cells. The CNN model will be trained using the Adam optimizer training algorithm with a training rate of 0.0002 and iterated 20 times. Based on the training results after iterating 20 times, the smallest error value was obtained, namely 0.0001 and the largest accuracy value, namely 100% in the 20th epoch. The CNN model was then tested with 100 testing image data and obtained an accuracy rate of 98% and an error value of 0.0482.
PERANCANGAN METODE HUMAN CENTERED DESIGN USER INTERFACE DAN USER EXPERIENCE PADA SISTEM HARGA KEBUTUHAN POKOK KABUPATEN MALANG Eka Wahyudi, Desantara; Budianto, Alexius Endy; Ahsan, Moh
Jurnal Fakultas Teknologi Informasi Vol 8 No 1 (2025): BIMASAKTI
Publisher : Prodi Teknik Informatika, Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v8i1.12516

Abstract

The Ministry of Communication and Information with all its diverse society requires overlapping in terms of equalizing services, especially in terms of data information. The problem is caused by inaccurate data information so that the asset data used as the basis of the data affects the data information received which does not match the field conditions. The running of data processing so far is still based on technicalities that tend to be conventional so that a capable system is needed to accommodate the problem. By using a mixed method, this study uses Human Centered Design as the basis for designing an application design called SIHARKEPO (Basic Needs Price Information System). This study will later focus on two main problems, namely the SIHARKEPO user interface design process and the analysis of users of the Basic Needs Price Information System (SIHARKEPO) in providing data information to users. The results of this study are concrete applications that can be applied to the process of providing basic needs price information data services and make it easier for the public to obtain them.
IMPLEMENTASI MEDIA ONLINE (WEBSITE) SEBAGAI PUBLIKASI POTENSI DESA SIDODADI MELALUI PEMBERDAYAAN KARANG TARUNA Ahsan, Moh; Aziz, Abdul
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 1, No 2 (2018): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v1i2.36-41

Abstract

Sidodadi Village is one of the villages located in southern Malang area located in Gedangan sub-district. The village is one of the villages that has the most extraordinary natural potentials such as Ungapan Beach, Bajulmati Beach, Parangdowo Beach, Jolangkung Beach, Bengkung Beach, Ngudel Beach, and Ngantep Beach, which is a beach located in the southern cross of Malang Regency. Rows of mountains are sturdy and beautiful to make the tourists interested to travel there.Sidodadi village area bounded with Sumbermanjing wetan district in the east, village elephant rejo in the west. On the other hand, not only the potential of nature is extraordinary, but the results of the abundant earth. Rice, corn, coconut, banana, rice, cassava, mangosteen, durian, and palm are natural products that can be processed there. The potential possessed and remarkable until now has not been published or promoted through websites and social media, to hog the visitors who more aplagi most visitors see the first reference before coming directly.The abundant natural resources with the stammered human resources of technology will make the potential of nature unknown to the wider community. Coral cadets and devices in the village of Sidodadi maximal educated High School (SMA) and only two people who can take the bench lecture. This is where the turmoil experienced by villagers Sidodadi where they can not publish the area. Only limited to the beaches that have been published, but for other natural potentials can not be published because of lack of knowledge about the use of the internet (Online Media). Keywords:Sidodadi, Karangtaruna, Publikasi, Online.
Media Interaktif Si Nana Pemberani untuk Pengenalan Coding dan Pengembangan Kemampuan Berpikir Kritis Anak Usia Dini Rina Wijayanti; Akbar, Mochammad Ramli; Afnia, Bella Nur; Ahsan, Moh
Khirani: Jurnal Pendidikan Anak Usia Dini Vol. 4 No. 2 (2026): KHIRANI: Jurnal Pendidikan Anak Usia Dini
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/khirani.v4i2.2507

Abstract

The increasing use of digital technology among young children has been largely consumptive, focusing on watching YouTube, TikTok, and sending messages, with limited adaptive digital-based learning media for introducing coding concepts in early childhood education (ECE). This study aims to develop interactive media Nana the Brave as a tool to introduce coding concepts and enhance critical thinking skills in children aged 4–5 years. The research employed a Research and Development (R&D) approach using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The media was created with Canva and Articulate Storyline, featuring the main character “Nana” and a robot companion “Cappucina,” and included nine game-based activities covering algorithms, sequencing, problem-solving, and pattern recognition. A trial was conducted with 24 children in Group A at TK Muslimat NU 10 Pandanmulyo Tajinan, Malang Regency. Validation results indicated excellent feasibility, with ratings of 96% from material experts, 90% from media experts, and 95% from ECE practitioners. Implementation demonstrated that the media effectively stimulated children’s critical thinking skills, including classification of shapes and colors, pattern comparison, instruction comprehension, and simple problem-solving. The findings conclude that Nana the Brave is highly feasible for use in introducing coding concepts in early childhood learning and has strong potential to strengthen children’s digital literacy readiness from an early age.
Co-Authors Abdul Aziz Afnia, Bella Nur akbar, mochammad ramli Budianto, Alexius Endy Eka Wahyudi, Desantara Mutaqin Akbar Prasetyaningrum, Putri Taqwa Rina Wijayanti Setyaningsih, Putry Wahyu Syarif Hidayat, Yusron