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All Journal ComEngApp : Computer Engineering and Applications Journal Mozaik Humaniora Jurnal Pengabdian Magister Pendidikan IPA JSAI (Journal Scientific and Applied Informatics) Pahlawan : Jurnal Ilmu Pendidikan, Sosial dan Budaya International Journal of Science and Society (IJSOC) Jurnal Teknik Informatika Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Abdi Masyarakat Multidisiplin Journal of Chinese Language and Culture Studies LINGTERSA: Jurnal Linguistik, Terjemahan, Sastra Jurnal Desiminasi Teknologi Journal Education Innovation Tradition and Modernity of Humanity Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Humanities and Social Sciences Journal of Global Research in Public Health JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Rudiansyah
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Pengaruh Pengaruh Jumlah Tanggungan, Pendapatan, dan Pendidikan terhadap Konsumsi Rumah Tangga Masyarakat Kampung KB ( Studi Kasus: Desa Banua Batung Kecamatan Pandawan Kabupaten Hulu Sungai Tengah) Amini, Ida; Rudiansyah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 4 No. 1 (2021)
Publisher : PPJP ULM

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The Effect of Amount of Dependents, Income, and Education on Household Consumption of KB Kampung Communities (Case Study: Banua Batung Village, Padawan Sub-district, Hulu Sungai Tengah District. This study was conducted to (1) analyze the effect of dependents, income, and education on household consumption KB village (family planning), (2) to find out which factors are the most dominant influencing household consumption in the KB community (family planning). The scope of this research is to take a case study in Banua Batung village, Padawan District, Hulu Sungai Tengah Regency. Data obtained from interviews and questionnaires as data from the respondent's polymer totaling 82 people. The data is processed using the help of reviews-9 software with multiple linear regression analysis, which is then tested through the f test (simultaneously) and t-test (partially). The results showed that the number of dependents, income, and education had a significant and positive effect both individually (partially) and together (simultaneously). At the same time, the most dominant factor affecting household consumption in this KB village community was income. Suggestions that should be made to increase income are by developing plantations during the rice farming pause so that land is still used, to emphasize the number of dependents, the government must continue to promote family planning programs, and while to improve education, the government is expected to make various scholarship programs so that rural children this is motivated for school.
Pengaruh Internal Terhadap Pendapatan Usaha Kecil Menengah (Studi Kasus Makanan Dan Minuman Ringan Di Kecamatan Banjarmasin Utara, Kota Banjarmasin) Baihaqi, Muhammad Mirza; Rudiansyah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 4 No. 2 (2021)
Publisher : PPJP ULM

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The income of small and medium enterprises can be influenced by various factors, both internal and external factors. In this study, internal factors such as capital, labor and working hours were used as variables. This study aims to determine the effect of the variables of capital, labor and working hours on the income of small and medium enterprises (case study of soft drinks and food in North Banjarmasin District, Banjarmasin City).The data source used in this research is primary data in the form of interviews with a sample of 45 respondents. The analytical tool used is multiple linear regression with income as the dependent variable and three independent variables, namely capital (IDR), labor (people) and working hours (hours). Multiple linear regression will test the effect simultaneously (f test) and partially (t test) through the eviws10 software. The results of this study indicate that capital, labor, and working hours individually (partially) and collectively (simultaneously) have a significant and positive effect on the income of small and medium enterprises (case study of soft drinks and food in North Banjarmasin District, Banjarmasin City). Meanwhile, the most dominant factor affecting the income of small and medium enterprises is capital. Based on the results of the research, the conclusions that can be applied in order to increase income are by managing the best possible capital regularly so that the production process to marketing can run properly, then employing workers according to the needs of business activities.and carry out operational working hours in accordance with the business activities being carried out.
Kriteria Penentu Kunjungan Wisatawan Pada Objek Wisata Alam di Kabupaten Balangan Helwani, Akhmad Syarif; Rudiansyah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 5 No. 1 (2022)
Publisher : PPJP ULM

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This study aims to determine the effect of the variable gross regional domestic product, several unemployment, regional minimum wages, consumer price index, and population on the number of poverty in South Kalimantan Province simultaneously and partially and what variables are the most dominant. This study uses secondary data over 20 years (2000-2019) with multiple linear regression analysis tools. The results showed all independent variables simultaneously; Gross regional domestic product, total unemployment, regional minimum wages, consumer price index, and population have a significant partially effect on the number of poor people. It is known that the number of unemployed and total population variables have a considerable impact and show a positive relationship to the number of poor people has a substantial and negative effect on the number of poor people. The most dominant variable influencing the number of poor people in South Kalimantan Province is population.
Faktor - Faktor yang Mempengaruhi Pendapatan Petani Padi Sawah di Desa Gambah Kecamatan Barabai Kabupaten Hulu Sungai Tengah Rizki, Muhammad; Rudiansyah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 5 No. 1 (2022)
Publisher : PPJP ULM

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This research was conducted to find out: (1) the influence of seed costs, fertilizer costs, land rental costs, and labor costs on the income of rice farmers in Gambah Village, Barabai District, Hulu Sungai Tengah Regency. (2) The most dominant factor in influencing the income of rice farmers. This study used quantitative research using primary data from 69 farmers. The data obtained is processed using multiple regression analysis with SPSS software version 21. The result of the research is that simultaneously, free variables together have a significant effect on bound variables. While in part, the variable cost of fertilizer does not affect the income of rice farmers. The most dominant factor in influencing the income of rice farmers is the cost of land rent.
Classification of Covid-19 Diseases Through Lung CT-Scan Image Using the ResNet-50 Architecture Kesuma, Lucky Indra; Rudiansyah
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 1 (2023)
Publisher : Universitas Sriwijaya

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Covid-19 is a disease of the respiratory tract caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus. One way to diagnose Covid-19 can be done by examining lung abnormalities on the results of a Computed Tomography Scan (CT-Scan) of the lungs. However, the determination of the diagnostic results obtained requires high accuracy and quite a long time. For this reason, an automatic system is needed to make it easier for medical personnel to diagnose Covid-19 disease quickly and accurately. One way to do this with the help of a computer is pattern recognition. In this study, pattern recognition techniques were used which were divided into three stages, namely pre-processing, feature extraction and classification. The methods used in the pre-processing stage are grayscale and Contrast Limited Adaptive Histogram Equalization (CLAHE) to improve image quality and contrast. The extraction stage uses the Principal Component Analysis (PCA) method, because it can reduce data dimensions without eliminating important features in the data. For the classification stage, a deep learning-based method is used, namely the Convolutional Neural Network (CNN). The CNN architecture used in this study is Resnet-50. The method proposed in this research is evaluated by measuring the performance values of accuracy, recall, precision, F1-score, and Cohen Kappa. The results of the study indicate that the PCA method has worked optimally in dimension reduction, without losing important features on CT-scan images of the lungs. Besides that, the proposed method has succeeded in classifying Covid-19 very well, as seen from the accuracy, Recall, Precision, F1-Score and Cohen Kappa values above 90%.
Implementation of Image Quality Improvement Methods and Lung Segmentation on Chest X-Ray Images Using U-Net Architectural Modifications Rudiansyah; Kesuma, Lucky Indra; Anggara, M Ikhsan
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 2 (2023)
Publisher : Universitas Sriwijaya

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COVID-19 is an infectious disease that causes acute respiratory distress syndrome due to the SARS-CoV-2 virus. Rapid and accurate screening and early diagnosis of patients play an essential role in controlling outbreaks and reducing the spread of this disease. This disease can be diagnosed by manually reading CXR images, but it is time-consuming and prone to errors. For this reason, this research proposes an automatic medical image segmentation system using a combination of U-Net architecture with Batch Normalization to obtain more accurate and fast results. The method used in this study consists of pre-processing using the CLAHE method and morphology opening, CXR image segmentation using a combination of U-Net-4 Convolution Block architecture with Batch Normalization, then evaluated using performance measures such as accuracy, sensitivity, specificity, F1-score, and IoU. The results showed that the U-Net architecture modified with Batch Normalization had successfully segmented CXR images, as seen from all performance measurement values above 94%.
PENERAPAN METODE ARC (Activity Relationship Chart) UNTUK MERANCANG ULANG TATA LETAK FASILITAS GUNA MENINGKATKAN PRODUKTIVITAS KERJA PADA PABRIK GULA SEMUT CV. XYZ DI KARAWANG Tahrim; Caca; Rudiansyah; Davit; Mukhlisin
Jurnal Desiminasi Teknologi Volume 13 Nomor 2 Juli 2025
Publisher : Fakultas Teknik Universitas Tridinanti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52333/1-10

Abstract

Gula semut merupakan bahan yang digunakan sebagai pemanis makanan atau minuman hasil dari pengembangan produk gula kelapa atau gula aren. Proses pembuatan gula semut dari gula setengah jadi atau gula cetak melewati beberapa proses diantaranya yaitu penggilingan, pengayakan, pengeringan dan inspeksi sebelum nantinya dilakukan pengemasan atau packing. Dari proses-proses tersebut tentunya membutuhkan peralatan dan fasilitas yang tentunya tata letaknya harus didesain dan dipertimbangkan dengan perhitungan agar tidak terjadi pemborosan atau waste dalam proses produksi maupun material handling. Penelitian ini bertujuan untuk merancang ulang tata letak fasilitas pada pabrik gula semut CV. XYZ di Karawang. Teknik pengumpulan data pada penelitian ini menggunakan studi literatur dan studi lapangan. Metode yang digunakan dalam penelitian ini adalah Activity Relationship Chart (ARC). Berdasarkan hasil penelitian hubungan aktivitas produksi di CV. XYZ belum optimal karena penempatan stasiun kerja masih tidak beraturan yang menyebabkan aliran material bersilangan dalam proses produksi. Kemudian perancangan ulang tata letak fasilitas dengan metode Activity Relationship Chart (ARC) menghasilkan penempatan stasiun kerja yang lebih teratur sehingga proses produksi lebih efisien dan efektif.
Pelatihan Pemrograman Dasar untuk Siswa Sekolah Menengah sebagai Bekal Memasuki Dunia IT Purba, Mariana; Octavia, Pipin; Rudiansyah; K, Bakhtiar; Angga Permana, Kemas Welly
Jurnal Pengabdian Kepada Masyarakat Vol 1 No 02 (2024): Jurnal Pengabdian Kepada Masyarakat
Publisher : Alihsanpublisher

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Pelatihan Pemrograman Dasar untuk Siswa Sekolah Menengah sebagai Bekal Memasuki Dunia IT bertujuan untuk memperkenalkan dan mengembangkan keterampilan dasar pemrograman komputer bagi siswa sekolah menengah. Di era digital yang terus berkembang, pemrograman menjadi keterampilan yang sangat penting dan dibutuhkan di berbagai sektor. Pelatihan ini dirancang untuk memberikan pemahaman dasar mengenai konsep pemrograman, logika komputasi, serta aplikasi praktis menggunakan bahasa pemrograman yang mudah dipahami seperti Python atau Scratch. Melalui pendekatan pembelajaran aktif, berbasis proyek, dan bertahap, siswa akan diajak untuk belajar dengan cara yang menyenangkan dan interaktif, serta dapat mengembangkan keterampilan untuk menyelesaikan masalah secara sistematis. Selain itu, pelatihan ini juga bertujuan untuk menumbuhkan kemampuan berpikir kritis, kreatif, dan analitis yang sangat dibutuhkan di dunia teknologi. Dengan pelatihan ini, diharapkan siswa dapat memiliki dasar yang kuat dalam pemrograman dan siap memasuki dunia IT, baik untuk melanjutkan studi ke jenjang yang lebih tinggi ataupun memulai karir di industri teknologi.
Identifikasi Faktor Risiko Stunting pada Anak-anak dengan Metode K means Clustering Setiawan, Debi; Rudiansyah; Shucy Ramawati Fadila
JEKIN - Jurnal Teknik Informatika Vol. 3 No. 1 (2023)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v3i1.443

Abstract

Stunting, sebuah masalah gizi kronis, menghambat perkembangan fisik dan kognitif anak-anak di seluruh dunia. Penelitian ini menggunakan metode klastering pada dataset dari Kaggle untuk mengidentifikasi faktor risiko yang terkait dengan stunting. Dataset ini mencakup informasi demografis, asupan gizi, dan kondisi kesehatan anak-anak dari berbagai negara.Dengan menerapkan teknik klastering seperti K-means, Hierarchical, dan DBSCAN, kami mengelompokkan anak-anak berdasarkan atribut mereka. Selanjutnya, kami menganalisis pola dan hubungan antara klaster-klaster ini dengan prevalensi stunting.Hasil penelitian ini memberikan wawasan berharga mengenai faktor-faktor yang berkontribusi terhadap risiko stunting. Temuan ini dapat membantu dalam perencanaan dan implementasi intervensi yang tepat guna untuk mencegah dan mengatasi stunting pada anak-anak. Penelitian ini menunjukkan manfaat metode klastering dalam memahami dinamika stunting dan faktor-faktor yang terkait. Hal ini menekankan pentingnya mengatasi faktor-faktor seperti gizi, status sosioekonomi, dan kondisi kesehatan untuk strategi pencegahan dan intervensi stunting yang efektif.
The Influence of Visualization in Book Content on Language Processing and Memory Adi, Dian Prasetyo; Avenida, Quinta; Sugiarti, Tati; Lianisyah, Ulfah Yanuar; Rudiansyah
International Journal of Science and Society Vol 6 No 4 (2024): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v6i4.1307

Abstract

This study explored the effects of visualization and phonetic processing on comprehension and memory retention in learning Mandarin as a second language. Through an experiment involving three conditions: pinyin, black-and-white pictures, and colored pictures, the study evaluated participants’ accuracy and reaction time in completing visual and phonetic-based tasks. The results showed that visual cues, especially colored pictures, increased response accuracy and decreased reaction time compared to pinyin and black-and-white pictures. These findings suggest that visualization not only aids vocabulary recall but also facilitates faster cognitive processing, potentially reducing students’ cognitive load. Implications for Mandarin teaching include the importance of using appropriate visual teaching materials to support learning and memory retention at the beginner level. These results contribute to the growing body of evidence supporting the effectiveness of multimodal learning and the importance of tailoring teaching methods to learners’ cognitive characteristics.
Co-Authors Abiyyuddin, M. Farras Aditya Sardi Adventia Natalia Christy Ahmad Jupri Alam, M. Bagus Sekar Amini, Ida Anggara, M Ikhsan Avenida, Quinta Ayu Ardini Azhar Andika Putra Baihaqi, Muhammad Mirza Caca Davit Debi Setiawan, Debi Dedeh Husnaniyah Depi Yulyanti Elvi Juliansyah Ernawati Erssa Renanda Fery Toding Allo Helwani, Akhmad Syarif Herman, Joni Julina K, Bakhtiar Kemas Welly Angga Permana Kesuma, Lucky Indra Lemi Iryani Lianisyah, Ulfah Yanuar Lita Herlina Makmum Raharjo Muhamad Ihsan Febryanto Mbele Muhammad Rizki Mukhlisin Nicki Rizki Fitria Norma Islamiati Octavia, Pipin Pitaloka, Fifit Purba, Mariana Raharjo, Makmun Rimayani, Dwi Shucy Ramawati Fadila Siti Yumna Annisa Sri Rizki Sukmawati Sugiarti, Tati Sutra Romadon Syahputra, Fikry Prastya Tahrim Theodora Nurcahayana Nainggolan Yunida Haryanti Zharfan Gibran