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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi Rainstek : Jurnal Terapan Sains dan Teknologi Jurnal Minfo Polgan (JMP) AMMA : Jurnal Pengabdian Masyarakat BIMASAKTI
Ahsan, Moh
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Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Social Sciences

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Analisis Pengaruh Iklim Kerja dan Pemberian Insentif Terhadap Kepuasan Kerja Karyawan di Perguruan Tinggi XXX Yuwono, Sapto; Lisdiana, Lisdiana; Ahsan, Moh
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13480

Abstract

Persoalan karyawan di organisasi suatu Perusahaan menjadi perhatian dari suatu organisasi tersebut untuk tetap eksis. Karyawan memiliki peran utama dan pokok dalam aktivitas organisasi. Meskipun banyak factor yang lainnya, tanpa dukungan karyawan, kegiatan organisasi tidak dapat berjalan baik. Sumber daya manusia di Perguruan Tinggi XXX adalah harta yang memiliki nilai tinggi dan penting dalam konteksnya sehingga sangat diperlukan perhatian yang serius dan berkelanjutan agar pencapaian hasil kerja secara maksimal dapat terwujud. Dukungan Pimpinan yang terlibat dalam pengelolaan sumber daya manusia sangat penting. Adanya perubahan lingkungan organisasi atau berubahnya iklim kerja yang begitu cepat menjadikan karyawan tidak dapat mengikuti irama pekerjaan. Karyawan menganggap perubahan iklim kerja memasung kreatifitas dan kebiasaan yang telah tertanam bertahun-tahun dan menganggap manajemen baru tidak lebih baik dari manajemen sebelumnya. Penelitian “Analisa Dampak Iklim Kerja dan Pemberian Insentif Pada Kepuasan Kerja menggunakan Motivasi sebagai dimensi antara di Perguruan Tinggi XXX.
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.
Pelatihan Penggunaan Sensor Waktu Untuk Menentukan Percepatan Gravitasi Bumi di SMA Islam Diponegoro Sayyadi, Muhammad; Ahsan, Moh
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 11 : Desember (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

The use of practical methods is a mandatory requirement in science learning. The community service activities were carried out at SMA Islam Diponegoro, located in Wagir District, Malang Regency. This community service activity aims to provide training for students to determine the acceleration due to gravity with the help of a time sensor. As a result of the community service activities, students were able to find the value of gravitational acceleration with an error of less than 10%. Students were enthusiastic and motivated by this training activity.
Co-Authors Abdul Aziz Budianto, Alexius Endy Eka Wahyudi, Desantara Lisdiana Lisdiana Mutaqin Akbar Prasetyaningrum, Putri Taqwa Setyaningsih, Putry Wahyu Syarif Hidayat, Yusron Yuwono, Sapto