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All Journal Jurnal Ilmiah Kursor Jurnal Sistem Informasi dan Bisnis Cerdas Sistemasi: Jurnal Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MULTINETICS JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknologi Informasi dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat JAPI: Jurnal Akses Pengabdian Indonesia Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Teknik Ilmu dan Aplikasi Jurnal Pengabdian Kepada Masyarakat
Muhammad Afif Hendrawan
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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DETEKSI KELELAHAN MENTAL DENGAN MENGGUNAKAN SINYAL EEG SATU KANAL Hendrawan, Muhammad Afif
Jurnal Sistem Informasi dan Bisnis Cerdas Vol 14, No 2 (2021): JURNAL SISTEM INFORMASI DAN BISNIS CERDAS (SIBC) AGUSTUS 2021
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/sibc.v14i2.2654

Abstract

Kondisi kelelahan mental dapat menimbulkan kecelakaan kerja khususnya pada bidang pekerjaan dengan tingkat konsentrasi tinggi. Kondisi ini perlu ditangani dengan serius untuk menghindari risiko kecelakaan kerja. Banyak metode dikembangkan untuk mengukur tingkat kelelahan mental. Namun pengukuran fisiologis dianggap lebih obyektif dan akurat. Sinyal gelombang otak atau electroencephalogram (EEG) merupakan biosinyal yang digunakan sebagai alat ukur fisiologis. Akan tetapi, pemanfaatannya belum banyak diteliti. Penelitian ini memanfaatkan sinyal EEG satu kanal dikombinasikan dengan segmentasi untuk mendeteksi kondisi kelelahan mental. Ciri mean absolute value (MAV), absolute power (AVP), dan standar deviasi (SD) diambil dari setiap segmen. Algoritma klasifikasi Linear Discriminant Analysis (LDA) dan Support Vector Machine (SVM) digunakan untuk mengklasifikasikan kondisi kelelahan mental. Hasil penelitian didapatkan nilai akurasi sebesar 78,13%. Nilai tersebut didapatkan dengan memanfaatkan sinyal EEG dengan segmentasi 60 detik menggunakan Fisher LDA. Penelitian ini menunjukkan sinyal EEG dapat digunakan untuk mendeteksi kondisi kelelahan mental dengan baik meskipun menggunakan ekstraksi ciri sederhana.  DOI : https://doi.org/10.33005/sibc.v14i2.2654
Identification of optimum segment in single channel EEG biometric system Muhammad Afif Hendrawan; Pramana Yoga Saputra; Cahya Rahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1847-1854

Abstract

Nowadays, biometric modalities have gained popularity in security systems. Nevertheless, the conventional commercial-grade biometric system addresses some issues. The biggest problem is that they can be imposed by artificial biometrics. The electroencephalogram (EEG) is a possible solution. It is nearly impossible to replicate because it is dependent on human mental activity. Several studies have already demonstrated a high level of accuracy. However, it requires a large number of sensors and time to collect the signal. This study proposed a biometric system using single-channel EEG recorded during resting eyes open (EO) conditions. A total of 45 EEG signals from 9 subjects were collected. The EEG signal was segmented into 5 second lengths. The alpha band was used in this study. Discrete wavelet transform (DWT) with Daubechies type 4 (db4) was employed to extract the alpha band. Power spectral density (PSD) was extracted from each segment as the main feature. Linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the EEG signal. The proposed method achieved 86% accuracy using LDA only from the third segment. Therefore, this study showed that it is possible to utilize single-channel EEG during a resting EO state in a biometric system.
Development of smart parking system using internet of things concept Dwi Puspitasari; Noprianto Noprianto; Muhammad Afif Hendrawan; Rosa Andrie Asmara
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp611-620

Abstract

The growing number of vehicles in developing countries causes a slew of issues, including the parking system.The current parking system is mostly manual, requires human intervention as a security system, and does not provide information about available parking areas.Their problems cause nonoptimal parking management. Furthermore, it can lead to income loss and criminal acts. This study addresses one of the possible solutions by using the internet of things (IoT) concept. The parking system is built by utilizing a smart card, machine-to-machine (M2M) communication, and cloud monitoring. As a result, the smart parking system prototype has been provided. The parking system business process can be done automatically, and it provides a more secure parking security system. The proposed parking system architecture also provides a practical system. The system only took around 1 second to perform the data transmission between nodes.
Pengelompokan Obyek Wisata Potensial dengan Self Organizing Maps (SOM) dan Sum Additive Weighting (SAW) Indra Dharma Wijaya; Muhammad Afif Hendrawan; Nurcahya Nania Anabela
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 8 No. 1 (2023): Januari 2023
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2023.8.1.1-9

Abstract

Probolinggo Regency is an area in East Java that has tourism potential. The condition is seen from the many tourists visiting various attractions in Probolinggo Regency. To increase the number of tourist visits, it is necessary to develop tourism objects. However, not all attractions in Probolinggo Regency can be developed at the same time. This is due to budget limitations for tourism development. Therefore, it is necessary to have a grouping of attractions according to the priority level of development. In this study, researchers utilized Self Organizing Maps (SOM) and Sum Additive Weighing (SAW) methods to group attractions based on their development priority levels. SOM is used to determine groups of tourist objects based on the parameters of the number of domestic tourists, the number of foreign tourists, infrastructure, and the number of attractions. Furthermore, SAW is used to find out which group has the highest priority among other groups based on these parameters. To measure the quality of the resulting group, researchers used the value of the silhouette coefficient. Results from the grouping process resulted in three groups. Group C1 consists of 4 attractions, group C2 consists of 20 attractions, and group C3 consists of 10 attractions. The value of the silhouette coefficient also holds a good value, especially in group 1, which is 0.75006. Furthermore, based on the ranking of groups by the SAW method, the C1 group is the group of tourist attractions with the highest priority for development.
PEMBUATAN WEBSITE UNTUK SOSIALISASI PROGRAM DAN BERITA PELAKSANAAN KEGIATAN PADA YAYASAN BUMI LANGGAT PEDULI Yoppy Yunhasnawa; Toga Aldila Cinderatama; Moch. Zawaruddin Abdullah; Gunawan Budiprasetyo; Muhammad Afif Hendrawan; Candra Bella Vista; Rinanza Zulmy Alhamri; Maskur Maskur
Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 2 (2023): JURNAL PENGABDIAN KEPADA MASYARAKAT 2023
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v10i2.4486

Abstract

Yayasan Bumi Langgat Peduli, based in Dusun Langgat, Malang, is a community initiative since 2017, focusing on social development. With funding sources from donors and the "Bongkar-Rapikan-Sedekahkan" program, the foundation has conducted various inclusive programs. However, manual communication via WhatsApp limits the reach of information. Through the Community Engagement project, we from Politeknik Negeri Malang design, implement, and deploy an official website that not only expands the information reach but also effectively showcases the foundation's programs and activities. This endeavor encapsulates a comprehensive solution to enhance Yayasan's outreach and impact.
ANALISIS LORA DALAM KOMUNIKASI NODEMCU DI LINGKUNGAN POLITEKNIK NEGERI MALANG: LORA ANALYSIS IN NODEMCU COMMUNICATION IN THE MALANG STATE POLYTECHNIC CAMPUS Noprianto; Hendrawan, Muhammad Afif; Ratsanjani, M. Hasyim
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 15 No. 2 (2022): Agustus 2022
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.744 KB) | DOI: 10.33005/sibc.v15i2.9

Abstract

Proses monitoring keadaan lingkungan menggunakan teknologi IoT menjadi teknologi yang berkembang pada saat ini, setiap perubahan lingkungan dapat dipantau secara real time sehingga dapat diambil tindakan-tindakan dengan cepat ketika terjadi perubahan yang tidak normal. Untuk melakukan monitoring dibutuhkan sebuah media komunikasi dalam melakukan pengiriman data, media komunikasi nirkabel yang sering digunakan seperti Bluetooth, Wifi, dan LoRA. Akan tetapi tidak semua media komunikasi cocok di daerah pedesaan, hutan, atau bahkan lepas pantai. Ketika ada kebutuhan untuk mendeteksi sejak dini ketika terjadi kebakaran hutan atau mengetahui keadaan pasang surut pantai, kondisi hutan dan pantai yang luas akan mengalami masalah ketika harus menggunakan Bluetooth atau Wifi karena memiliki keterbatasan jangkauan untuk melakukan pertukaran data. LoRa menawarkan media komunikasi yang dapat diterapkan daerah dengan kondisi alam yang luas karena kemampuan dalam mengirimkan data yang jauh sampai 20 - 30 Km dengan kondisi line of sight, pada penelitian ini melakukan pengujian untuk mengetahui jangkauan LoRa dalam mengirimkan data di area dalam gedung yaitu Politeknik Negeri Malang. Dari beberapa lantai yang digunakan dalam melakukan percobaan pengiriman data, dari lantai 4 sampai lantai 7 dapat mengirimkan data (serialisasi - deserialisasi) dengan posisi LoRa penerima di lantai 6.
Sistem Temu Kembali Informasi Pesawat Udara Militer Menggunakan Jaringan Syaraf Tiruan Back Propagation Network Vira Bahrudin , Ardyansyah; Datumaya Wahyudi Sumari , Arwin; Afif Hendrawan , Muhammad
Jurnal Teknik Ilmu dan Aplikasi Vol. 4 No. 2 (2023): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtia.v4i2.2851

Abstract

Various war events in various parts of the world between two or more countries along with various high-tech war equipment such as military aircraft arouse curiosity to find out more about these war equipment, getting this information is still hampered by the lack of existing information, a lot of information is available in printed form, in museums managed by the Indonesian National Army (TNI), and in the form of books about military aircraft. The design of a Military Aircraft Information Retrieval System Using Machine Learning is aimed at providing information to the public about types of military fighter aircraft, this is due to the lack of information about fighter aircraft in the military world among the public.
Sistem Informasi Pemesanan Makanan Muliti-Tenant Berbasis Website (Studi Kasus: NJenggrik Coffee) Hafiz Kalam Abdillah; Hendra Pradibta; Muhammad Afif Hendrawan
Jurnal Teknik Ilmu dan Aplikasi Vol. 5 No. 1 (2024): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtia.v5i1.4056

Abstract

Perkembangan teknologi merupakan proses yang terus berlangsung dan mengalami perubahan yang cepat dari waktu ke waktu. Perkembangan teknologi juga mempengaruhi dalam berbagai bidang, seperti komunikasi, transportasi, energi, kesehatan, dan hiburan. Teknologi juga membantu dalam meningkatkan efisiensi, efektivitas, dan produktivitas dalam berbagai industri dan sektor ekonomi. Bisnis yang populer saat ini adalah bisnis kuliner seperti rumah makan, cafe dan pujasera. Pada Njenggrik Coffee sistem pelayanan pemesanan makanan dan minuman masih dilakukan dengan cara customer mendatangi tenant satu-persatu untuk melihat menu makanan dan minuman, serta mencatat pesanan. Berdasarkan permasalahan tersebut maka perlu adanya pembuatan sebuah sistem informasi pemesanan makanan multi-tenant berbasis website menggunakan teknlogi payment gateway agar mempermudah customer dalam proses pemesanan dan pembayaran tanpa harus mendatangi setiap tenant. Metode penelitian yang digunakan pada penelitian ini adalah observasi, wawancara, studi pustaka, analisis sistem, perancangan sistem, implementasi sistem, dan uji coba sistem. Hasil pengujian sistem menggunakan pengujian blackbox adalah semua hasil uji coba adalah valid. Hasil kuesioner yang diberikan kepada customer adalah 71% dan hasil kuesioner yang diberikan kepada admin adalah 89% yang artinya website ini sudah berjalan sebagaimana mestinya.
Tingkat Kerawanan Desa Berdasakan Dampak Bencana Kab.Bojonegoro Dengan Metode Clustering Algoritma K-Means Fahrur Rozi, Imam; Muhammad Afif Hendrawan; Thalia Amira Rifda
MULTINETICS Vol. 10 No. 2 (2024): MULTINETICS Nopember (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i2.6686

Abstract

The Bojonegoro Regency is a region that is quite prone to disasters, especially floods, landslides, and extreme weather. There have been 2,162 recorded incidents in the past three years, causing significant material and moral losses totaling IDR 1,986,210,000. In an effort to reduce future losses, early prevention measures can be taken by conducting research on the potential disaster-prone areas based on the impact of disasters that have occurred in the region. This study utilized data from 430 villages (2019-2022), considering 6 disaster impact parameters, including the number of disaster events, casualties, affected houses, affected land, material losses, and facility damage. The objective was to identify the vulnerability level of villages using the K-Means Clustering method. The optimal number of clusters was validated using the Davies Bouldin Index (DBI), and the data mining process followed the CRISP-DM standard. The trial results indicated that the optimal number of clusters is k=3. Cluster analysis revealed that Cluster 1 (3 villages) experienced more significant disasters, causing more damage to houses and land; Cluster 2 (17 villages) faced disasters with significant casualties, while Cluster 3 (410 villages) experienced disasters with the lowest impact.
Pelatihan Pemanfaatan Microsoft Office Dan Administrator OpenSID Untuk Aparatur Desa Tumpakoyot Saputra, Pramana Yoga; Triswidrananta, Odhitya Desta; Hendrawan, Muhammad Afif; Yunianto, Dika Rizky; Khairy, Muhammad Shulhan
JAPI (Jurnal Akses Pengabdian Indonesia) Vol 8, No 1 (2023)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/japi.v8i1.4914

Abstract

Desa Tumpakoyot merupakan desa yang terletak di bagian paling selatan Kabupaten Blitar tepatnya di Kecamatan Bakung. Desa Tumpakoyot memiliki 11 aparatur pemerintah desa, dimana terdapat 4 aparatur pemerintah desa yang akan memasuki masa purna tugas. Pemerintah desa merasa mengalami kesulitan untuk mencari pengganti yang mumpuni untuk mengantikan aparatur desa yang akan purna tugas. Tim pengabdi mengusulkan program Pengabdian Kepada Masyarakat (PKM) yang berfokus pada pengembangan SDM aparatur pemerintah desa. Program yang diusulkan adalah pelatihan Microsoft Office dan OpenSID untuk mendukung proses bisnis Desa Tumpakoyot. Pelatihan Microsoft Office dilakukan untuk meningkatkan kempuan Desa Tumpakoyot untuk melakukan pengolahan administrasi dan juga pengolahan data, khususnya dana desa. Selanjutnya, pelatihan OpenSID merupakan pelatihan terkait dengan administrasi aplikasi web desa yang dimiliki oleh Desa Tumpakoyot. Pengabdi berharap dengan adanya program pelatihan ini dapat meningkatkan kualitas SDM aparatur pemerintah Desa Tumpakoyot sehingga mencapai misi yang telah digagas oleh pemerintahan desa.
Co-Authors Agwin Fahmi Fahanani Arwin Datumaya Sumari Bagaseto Yudistira Fiandra Putra Cahya Rahmad Candra Bella Vista Datumaya Wahyudi Sumari , Arwin Dhelya Widasmara Dika Rizky Yunianto Dwi Puspitasari Gunawan Budiprasetyo Habibie Ed Dien Hafiz Kalam Abdillah Hendra Pradibta Imam Fahrur Rozi Indra Dharma Wijaya Indra Dharma Wijaya M Hasyim Ratsanjani M. Latifur Rahman Mamluatul Hani’ah Maskur, M Moch Zawaruddin Abdullah Mochammad Zaky Zamroni Muhammad Shulhan Khairy Nilawati Fiernaningsih Noprianto Nurcahya Nania Anabela Odhitya Desta Triswidrananta Pramana Yoga Saputra Pudji Herijanto Reynaldi Fakhri Pratama Rinanza Zulmy Alhamri, Rinanza Zulmy Rosa Andrie Asmara Septian Enggar Sukmana Thalia Amira Rifda Toga Aldila Cinderatama Triswidrananta, Odhitya Desta Vipkas Al Hadid Firdaus Vira Bahrudin , Ardyansyah Widaningsih Widaningsih, Widaningsih Yoppy Yunhasnawa Yosi Afandi