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All Journal Al-'Adalah ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JIMKesmas (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat) Buletin Farmatera Indonesian Journal of Medicine Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika JURNAL CEMERLANG: Pengabdian pada Masyarakat MIND (Multimedia Artificial Intelligent Networking Database) Journal JURNAL FARMASIMED (JFM) JURNAL PUBLISITAS Indonesian Journal of Global Health research Texere Narra J Multica Science and Technology Journal of Endocrinology, Tropical Medicine, and Infectious Disease (JETROMI) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Riset Indragiri Innovative: Journal Of Social Science Research Nuansa Informatika Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL
Muhammad Ichwan
Institut Teknologi Nasional Bandung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analisis Pelayanan Publik pada Kepolisian Daerah Bengkulu (Studi pada Sentra Pelayanan Kepolisian Terpadu) Aprianty, Henny; Ichwan, Muhammad; Dani, Rahiman; Purnawan, Heru; Triyanto, Deni
Jurnal Publisitas Vol 12 No 1 (2025): Oktober
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Sekolah Tinggi Ilmu Sosial dan Ilmu Politik (STISIPOL) Candradimuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37858/publisitas.v12i1.552

Abstract

This study analyzed public services in the Bengkulu Regional Police environment with a survey at the Integrated Police Service Center. The type of research used in this study is qualitative research. This study presents a descriptive discussion of the research with a case study technique that is carried out intensively, in detail, and in-depth on the object of research, the data in this study were obtained from primary data and secondary data. The data collection techniques used were observation methods, interview methods, and documentation methods. The data analysis techniques used were Data Reduction, Data Display, and Conclusion Drawing/Verification. The results of the study showed that in general the service at the Bengkulu Regional Police SPKT was good and met public service standards. Simple administrative requirements, easy-to-access service systems, efficient service times, and public complaints were handled quickly and transparently. The public was also satisfied with the professional and friendly attitude of the officers. However, there are still several aspects that need to be improved, such as the use of information technology, further training for officers, increasing the number of personnel during peak hours, and strengthening supporting facilities such as special rooms for vulnerable groups. With improvements in these aspects, the quality of Bengkulu Police SPKT services is expected to be more optimal, responsive, and oriented towards public satisfaction..
Identification of Microbiota Causing Bromhidrosis in the Axillary Utama, Putri Wahdiah; Jusuf, Nelva Karmila; Putra, Imam Budi; Ichwan, Muhammad; Kusumawati, R. Lia
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.4194

Abstract

Bromhidrosis is a clinical condition defined by an uncomfortable or unpleasant body odor. Since the apocrine glands are only active during puberty, most bromhidrosis occurs in the apocrine glands in the armpit and occurs when apocrine gland secretions approach the skin's surface, where they undergo various biochemical reactions caused by the presence of microbiota in the axillary skin, resulting in odor in the axilla. This research aims to identify microbiota species in the axilla that can cause bromhidrosis. A laboratory experimental research design with purposive sampling is used in this study. In this study, 60 samples were collected from students aged 15 to 18 years old at a high school in Medan, and the samples were analyzed at the University of North Sumatra Hospital's Microbiology Laboratory. All samples were taken from the right axillary skin swab, a Gram stain was performed, and the identified microbiota isolates were identified. The results of skin smear culture revealed a Gram-positive cocci group in 59 samples (98.3%) and a Gram-positive bacilli group in only one sample (1.7%). The microbiota responsible for bromhidrosis was identified as Staphylococcus hominis spp. hominins (30.4%), Staphylococcus epidermidis (27.8%), Staphylococcus aureus (16.5%), Kocuria kristinae and Staphylococcus haemolyticus (6.3%), Staphylococcus lugdunensis and Staphylococcus saprophyticus. The most common microbiota that causes bromhidrosis in the axilla is Staphylococcis hominis spp. Hominis, Staphylococcus epidermidis, and Staphylococcus aureus.
Pulus (Kepul Dapat Fulus) Dukungan Gerakan Pilah-Pilih Sampah Dengan Sistem Digitalisasi Daur Ulang Rosmala, Dewi; Ichwan, Muhammad; Irwan, Yusril; Alamsyah, Yogi; Ramadani, Andi Muchlas; Suryananda, Ignatius Adiandra; Akram, M. Azriel; Reza Malik, M. Fatir
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 2 (2025): JURNAL LOCUS: Penelitian & Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i2.3842

Abstract

Desa Ciherang, yang terletak di Kabupaten Bandung, menghadapi tantangan pengelolaan limbah rumah tangga dan bonggol jagung sebagai limbah pertanian utama. Permasalahan ini diperparah oleh rendahnya tingkat pendidikan penduduk dan tingginya tingkat pengangguran usia produktif, yang menghambat pemanfaatan limbah menjadi sumber daya ekonomis. Untuk mengatasi hal ini, penelitian ini mengembangkan sistem digitalisasi berbasis aplikasi mobile bernama Pulus. Sistem ini dirancang untuk mendukung proses daur ulang limbah dengan menyediakan platform interaktif bagi masyarakat untuk memilah, menyetorkan, dan menjual limbah anorganik maupun organik kepada pengepul. Metode penelitian meliputi analisis kebutuhan mitra, perancangan sistem berbasis user-centered design, dan pengujian aplikasi. Hasilnya menunjukkan bahwa sistem ini mampu meningkatkan kesadaran masyarakat terhadap pentingnya pengelolaan limbah, mendorong partisipasi dalam program daur ulang, serta menciptakan peluang ekonomi baru melalui insentif finansial berbasis kontribusi daur ulang. Implementasi aplikasi Pulus di Desa Ciherang diharapkan tidak hanya mengurangi dampak lingkungan akibat limbah, tetapi juga meningkatkan kesejahteraan masyarakat melalui ekonomi sirkular. Studi ini memberikan kontribusi dalam pengembangan solusi berbasis teknologi untuk pengelolaan limbah berkelanjutan di daerah pedesaan.
Implementasi Penyusunan Laporan Keuangan Dan Perpajakan Pada UMKM Berdasarkan Standar Akuntansi Keuangan Entitas Mikro Kecil Dan Menengah (SAK-EMKM) Pada UMKM Bakso Bahari Ichwan, Muhammad; Purnomo, Hari; Djamaa, Wahjuny
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19285

Abstract

Standar Akuntansi Keuangan – Entitas Mikro Kecil Dan Menengah (SAK EMKM) diharapkan menjadi solusi atas masalah yang kerap melanda Usaha Mikro Kecil dan Menengah (UMKM) di Indonesia. Masalah yang dihadapi UMKM adalah ketidaktersediaan pembukuan yang terstruktur dan sistematis dalam laporan keuangan yang baik sesuai standar EMKM. UMKM seharusnya mampu pihak internal maupun eksternal.Tujuan penelitian ini Untuk mengetahui implementasi penyusunan laporan keuangan dan perpajakan umkm berdsarkan standar akuntansi keuangan entitas mikro kecil dan menengah (SAK-EMKM) pada usaha dagang milik Bakso Bahari, serta untuk mengetahui apakah usaha Bakso Bahari sudah menerapkan SAK-EMKM dan penerapan sistem perpajakan berdasarkan peraturan pada usaha nya tersebut. Teknik yang digunakan untuk mengumpulkan data melalui wawancara dan observasi yang dilakukan di lokasi Gunung Putri, Bogor. Teknik analisis data menggunakan teknik analisis deskriptif, yaitu dengan mendeskripsikan hasil dari wawancara yang dilakukan saat di lapangan untuk menarik kesimpulan. Hasil dari penelitian menunjukkan bahwa Usaha Bakso Bahari di desa Bojong Nangka Kecamatan Gunung Putri Kabupaten Bogor belum sepenuhnya menerapkan SAK-EMKM dalam penyajian laporan keuangannya..
Pembangunan Sistem Reservasi Untuk Klinik Cikijing Berbasis Website Menggunakan Framework Laravel Rosmala, Dewi; Ichwan, Muhammad; Ghairrahmat, Dhimas Aji; Ramadhan, Fikri; Fahrezi Maulana, Reyhan; Nugraha, Priyandhika Adi; Hanif, Muhammad Adnan
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 7 (2024): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v4i7.2705

Abstract

REKA KARYA: Proses pendaftaran berobat di Klinik Cikijing, Rancaekek, Kab.Bandung masih dilakukan secara manual. Pasien harus mendatangi klinik secara langsung untuk mengambil antrian, tidak jarang terjadi penumpukan antrian pasien yang mengakibatkan waktu tunggu pasien menjadi lebih lama. Hal tersebut tidak efisien untuk pasien karena sering menguras waktu mereka. Sehubung dengan permasalahan yang dialami oleh Klinik Cikijing tersebut, maka kegiatan Pengabdian Kepada Masyarakat yang dilakukan ini bertujuan merancang dan membangun website reservasi pasien berbasis website yang dapat diakses dimana saja oleh pasien sebelum berobat. Sistem tersebut dibangun dalam framework laravel dan dapat diakses melalui platform laptop maupun smartphone. Dengan pembangunan sistem reservasi ini pasien tidak perlu untuk mendatangi klinik hanya untuk mengambil antrian, cukup datang sesuai dengan waktu saat reservasi dibuat, sehingga dapat mengurangi waktu tunggu pasien. Pada sistem juga terdapat pengelolaan obat-obatan. Apoteker dapat melihat ketersediaan obat-obatan yang tersedia pada klinik tanpa harus menghitung ketersediaannya secara manual karena obat yang diberikan oleh dokter akan terupdate oleh sistem secara otomatis.
APPLICATION OF INTELLIGENT SYSTEM WITH BACKPROPAGATION MODEL IN CLOUD IMAGE CLASSIFICATION Mulyadi Mulyadi; Ichwan, Muhammad; Rizka, Muhammad; Ula, Mutammimul
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 2 No. 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.323

Abstract

The clouds have different patterns on each type and each type has different properties. The introduction of the type, shape, and nature of the cloud is indispensable in the weather forecasts so that the clouds can be classified. There are several methods used in the image classification process that is the method of the artificial neural network Backpropagation. The method of Backpropagation is one of the methods used for the classification process, in this research Backpropagation used on the training and testing process for the introduction of cloud imagery aimed at determining the type of cloud, before the second These stages are carried out imagery through the preprocessing process. From the training conducted using the Backpropagation method shows that this method generates the best weight value and saves that value into the database to do the testing process using a neural network Backpropagation. In addition, Backpropagation also has the ability to reduce errors by continuously correcting the weight until reaching the maximum target. Data used for training data as many as 92 cloud type image with each type of 10 imagery. In this study obtained a system success rate of 60.6%.
Pendekatan Augmentasi Citra Fundus pada Model EfficientNet untuk Klasifikasi Tingkat Keparahan Retinopati Diabetik dengan Dataset Tidak Seimbang CHAZAR, CHALIFA; ADLI, MUHAMMAD ARKAN; PARDEDE, JASMAN; ICHWAN, MUHAMMAD
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 2 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i2.180-194

Abstract

AbstrakRetinopati diabetik (RD) adalah komplikasi diabetes mellitus yang menyerang pembuluh darah retina dan berpotensi menyebabkan kebutaan jika tidak terdeteksi dini. Citra fundus retina berperan penting dalam mendeteksi serta mengklasifikasikan tingkat keparahan RD karena mampu menampilkan kelainan secara jelas. Tantangan utama dalam klasifikasi RD adalah ketidakseimbangan data antar kelas. Penelitian ini mengusulkan penggunaan EfficientNet-B0 dengan augmentasi gambar terarah pada dataset APTOS 2019. Hasil evaluasi menunjukkan peningkatan akurasi dari 73,84% menjadi 82,56% serta F1-score 0,8241. Peningkatan signifikan terlihat pada kelas minoritas, misalnya Mild dari 0,1429 menjadi 0,65 dan Severe dari 0,087 menjadi 0,4211. Temuan ini membuktikan bahwa augmentasi terarah efektif dalam mengurangi bias kelas mayoritas dan meningkatkan keandalan model.Kata kunci: augmentasi, EfficientNet, ketidakseimbangan kelas, retinopati diabetikAbstractDiabetic retinopathy (DR) is a complication of diabetes mellitus that affects the retinal blood vessels and may lead to blindness if not detected early. Fundus images play a crucial role in detecting and classifying the severity of DR as they clearly reveal pathological abnormalities. The main challenge in DR classification lies in the imbalance across severity classes. This study proposes the use of EfficientNet-B0 combined with targeted image augmentation on the APTOS 2019 dataset. The evaluation results show an improvement in accuracy from 73.84% to 82.56% and a F1-score of 0.8241. Significant gains are observed in minority classes, such as Mild (from 0.1429 to 0.65) and Severe (from 0.087 to 0.4211). These findings demonstrate that targeted augmentation is effective in reducing majority-class bias and improving model reliability.Keywords: class imbalance, data augmentation, diabetic retinopathy, EfficientNet 
Pengaruh model pembelajaran discovery learning menggunakan pendekatan STEAM (science, technology, enginering, art, mathematic) terhadap kemampuan berpikir komputasi siswa Sa'adah, Umi; Faridah, Siti Nur; Ichwan, Muhammad; Nurwiani, Nurwiani; Tristanti, Lia Budi
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 9 No 1 (2023): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v9i1.19391

Abstract

The purpose of this study was to determine the effect of the Discovery Learning learning model using the steam approach (science, technology, engineering, art, mathematics) on students' computational thinking abilities. This type of research is quantitative research with experimental research methods. The population in this study were class VIII SMP A. Wahid Hasyim Tebuireng with a sample of class VIII-I as the experimental class and class VIII-C as the control class. The experimental group was treated using the Discovery Learning model with the STEAM approach while the control group used the conventional model. The instrument used is a test sheet. Data analysis techniques using the t test. Based on the results of the analysis of the data obtained by calculating using IBM SPSS25 between the samples that were given the treatment of the Discovery Learning learning model with the STEAM approach in the experimental class and the control class, the output results were Sig. (2-tailed) of 0.020. This means that the sig value of 0.046 <0.05 means H0 is rejected, so it is said that there are differences in students' computational thinking abilities between those who take the Discovery Learning model learning the STEAM approach and those who take conventional learning. Then there is the influence of the STEAM approach Discovery Learning model on students' computational thinking skills.
High Performance Yolov4 with Different Optimizers and Backbones to Determine Distance Irma Amelia Dewi; Mikael Prapaskalis G; Muhammad Ichwan
NUANSA INFORMATIKA Vol. 20 No. 1 (2026): Nuansa Informatika 20.1 Januari 2026
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v20i1.533

Abstract

Monitoring the distance between individuals in public spaces remains relevant for crowd management, operational safety, and risk mitigation in public service. Manual inspections are difficult to carry out consistently and in real time, thus requiring an automated machine vision-based system. This research proposes a safe distance monitoring pipeline that detects humans, calculates the proximity between individuals. Human detection is performed with YOLOv4 and the CSPResNeXt50 backbone, then the center of the bounding box is used as a position representation. The distance between centroids is calculated using Euclidean Distance and calibrated based on camera parameters, thus that it can be mapped to distance units. To obtain a stable training configuration, two optimizers (Adam and SGD) are compared at two learning rates (1E-2 and 1E-3). Test results show that Adam with a learning rate of 1E-3 provides the best performance, achieving 96% object detection accuracy. The distance calculation module achieves 90% accuracy in determining the actual and predicted distances in optimal camera installation scenarios, with an average processing speed of 60 fps. These findings demonstrate a fast and practical approach for camera-based public space safety. Additionally, the backbone comparison shows that CSPResNeXt50 is slightly superior to DarkNet50, making it suitable for lightweight implementation on edge devices in real-time.
Pembangunan Media Pembelajaran Interaktif untuk Pengenalan Organ Tubuh Manusia Bagi Siswa Sekolah Dasar di SDN 082 Muararajeun Bandung Ichwan, Muhammad; Marcella, Risha; Wulandara, Ambar; Utami, Irna Rahma; Ramadhani, Tri Sartika; Selviana, Zahra Cahya Dewi
JURNAL CEMERLANG: Pengabdian pada Masyarakat Vol 8 No 1 (2025): JURNAL CEMERLANG: Pengabdian Pada Masyarakat
Publisher : LP4MK STKIP PGRI Lubuklinggau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31540/jpm.v8i1.4019

Abstract

Hasil observasi di SDN 082 Muararajeun menunjukkan bahwa pembelajaran Ilmu Pengetahuan Alam dan Sosial (IPAS) masih bersifat konvensional dan belum memanfaatkan media digital secara optimal, sehingga siswa kurang aktif dan kesulitan memahami materi organ tubuh manusia. Untuk mengatasi hal tersebut, dikembangkan media pembelajaran berbasis game edukasi “Anatomy Journey” dengan memanfaatkan teknologi interaktif. Pengembangan dilakukan melalui analisis kebutuhan, perancangan media menggunakan Adobe Animate, sosialisasi, dan uji coba di kelas. Hasil kegiatan menunjukkan peningkatan motivasi dan pemahaman siswa terhadap materi, serta membantu guru menyampaikan konsep abstrak secara lebih konkret dan menarik. Program ini menjadi contoh penerapan teknologi digital dalam mendukung pembelajaran IPAS di sekolah dasar.
Co-Authors Adi, Firma Firmansyah Adli, Muhammad Arkan Agus Salim Akram, M. Azriel Alamsyah, Yogi ALFARISYI, SALMAN FATHUL Ambarsari, Dewi Amelia, Irma Anggriawan, Mochamad Angga Aprianty, Henny Ardinata, Dedi - Aritonang, Evawany Y. Barmawi, Mira Musrini Bintang, Siti Sarah Bintang Sarah BURHAN FAJRIANSYAH, BURHAN Chazar, Chalifa Dani, Rahiman Dewi Rosmala, Dewi Dewi, Hartami Dewi, Irma Amelia DEWI, IRMA AMELIA Dhuha, Muhammad Hikmal Dina Budhi Utami Dina Budhi Utami, Dina Budhi Djamaa, Wahjuny Erawan, Putu Eka F H, Ghassan Nur Fahrezi Maulana, Reyhan Ghairrahmat, Dhimas Aji HADI, IHSAN SAIFUL Hanif, Muhammad Adnan HARI PURNOMO Helmaputra, Aldri HERU PURNAWAN Heru Santosa I Ketut Suada Imelda, Fatwa Irawan, Bambang Riyadi IRMA AMELIA DEWI Irwan, Yusril Jasman Pardede Jusuf, Nelva Karmila Kusumawati, R. Lia Lia Budi Tristanti Lubis, Nenni Dwi Aprianti Lukito, Rara Restu Lumbanraja, Sarma N. Mahyuddin K. M Nasution Marcella, Risha Miftahuddin, Yusup Miftahuddin, Yusup Mikael Prapaskalis G Milda Gustiana Husada Muhammad Rizka, Muhammad Mulyadi Mulyadi Mustafa, Dody Mutammimul Ula Nani Yuniar Nugraha, Priyandhika Adi Nurhasanah, Youllia Indrawaty Nurwiani, Nurwiani Octavia, Nur Afni Heryanti Pahlevi, Andhika Permatasari, Ranti Putra, Imam Budi Putri Chairani Eyanoer, Putri Chairani Rahmiwita, Rahmiwita Ramadani, Andi Muchlas Ramadhan, Fikri Ramadhani, Tri Sartika RATNA SUSANA Reza Malik, M. Fatir RR. Ella Evrita Hestiandari S, Zeni Muharom Sa'adah, Umi Salis, Witri Aini Salsabilla, Nadiati SAVERO AL PHARD, SAVERO AL Selviana, Zahra Cahya Dewi Siahaan, Andre MP. Siti Nur Faridah Soekoco, Asril Senoaji SUMANTRI, HANIFAH Suryananda, Ignatius Adiandra Syafiudin, Arief Tobing, Immanuel DL. Tri Andrianto, Yoga Fathur Triyanto, Deni Utama, Putri Wahdiah Utami, Irna Rahma Wulandara, Ambar Yahwardiah Siregar