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All Journal International Journal of Electrical and Computer Engineering Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Manajemen Pendidikan AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Dinamisia: Jurnal Pengabdian Kepada Masyarakat CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Journal of Electronics, Electromedical Engineering, and Medical Informatics SEMAR Jurnal Teknik Informatika (JUTIF) Proceeding ISETH (International Summit on Science, Technology, and Humanity) Abdi Teknoyasa
Esti Suryani
Sebelas Maret University
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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Model Group Decision Support System Based on Depression Anxiety Stress Scales Using Ordered Weighted Averaging Aggregation Method Wiharto, Wiharto; Putri, Della K.; Sihwi, Sari W.; Salamah, Umi; Suryani, Esti; Atina, Vihi; Utomo, Pradityo
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.678

Abstract

Depression, anxiety, and stress are common psychological conditions often triggered by the pressures of daily life. Depression Anxiety Stress Scale (DASS), is a widely used tool for assessing the severity of these disorders, available in different versions such as the DASS-21 and DASS-42. In line with these findings, DASS-21 consists of 21 symptom items, categorized into three types of disorders, with seven items assigned to each. In contrast, the DASS-42 includes 42 symptom items, with 14 items allocated per disorder. Both versions serve as standardized tools for assessing the severity of depression, anxiety, and stress, and the different versions show that one item only affects one disorder. In practice, it can affect several disorders with different priorities. This condition increases the risk of subjective bias in a psychologist's decision-making, as personal experiences and perceptions may influence their assessments. Therefore, this study aims to develop a Group Decision Support System (GDSS) model that considers the preferences of several psychologists in determining the priority of disorders based on the DASS-42 and DASS-21 items. The model has been built using the psychologist's preference method for DASS-42 and DASS-21 in fuzzy form, then combined using the Ordered Weighted Averaging (OWA) method to produce one decision. The alignment of top-priority items between GDSS and DASS was assessed as part of the evaluation. The results show a high degree of similarity, with GDSS matching 16 out of 21 symptom items in DASS-21 and 35 out of 42 items in DASS-42. The GDSS model can accommodate the preferences of decision-makers in providing weighting of the influence on each item in the DASS-21 and DASS-42, thereby providing more objective decisions.
Breast Cancer Classification on Ultrasound Images Using DenseNet Framework with Attention Mechanism Azka, Hanina Nafisa; Wiharto, Wiharto; Suryani, Esti
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 3 (2025): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i3.779

Abstract

Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide. Early detection of breast cancer being critical for increasing survival rates. Ultrasound image is commonly used for breast cancer screening due to its non-invasive, safe, and cost-effective. However, ultrasound images are often of low quality and have significant noise, which can hinder the effectiveness of classification models. This study proposes an enhanced breast cancer classification model that leverages transfer learning in combination with attention mechanisms to improve diagnostic performance. The main contribution of this research is the introduction of Dense-SASE, a novel architecture that combines DenseNet-121 with two powerful attention modules: Scaled-Dot Product Attention and Squeeze-and-Excitation (SE) Block. These mechanisms are integrated to improve feature representation and allow the model to focus on the most relevant regions of the ultrasound images. The proposed method was evaluated on a publicly available breast ultrasound image dataset, with classification performed across three categories: normal, benign, and malignant. Experimental results demonstrate that the Dense-SASE model achieves an accuracy of 98.29%, a precision of 97.97%, a recall of 98.98%, and an F1-score of 98.44%. Additionally, Grad-CAM visualizations demonstrated the model's capability to localize lesion areas effectively, avoiding non-informative regions, and confirming the model's interpretability. In conclusion, the Dense-SASE model significantly improves the accuracy and reliability of breast cancer classification in ultrasound images. By effectively learning and focusing on clinically relevant features, this approach offers a promising solution for computer-aided diagnosis (CAD) systems and has the potential to assist radiologists in early and accurate breast cancer detection.
Transformasi Penjualan Digital Produk Jamu dan Obat Tradisional pada UKM Jamu di Kabupaten Sukoharjo Artanti, Anif Nur; Prihapsara, Fea; Suryani, Esti; Rahmatul Kholiq, Muhammad Hatta; Astirin, Okid Parama; Rahayu, Endang Siti
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2023): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v7i1.9033

Abstract

Dampak pandemi COVID-19 telah menurunkan pendapatan beberapa industri jamu di Kabupaten Sukoharjo. Industri jamu terkendala dalam proses produksi dan penjualan produknya. Cara pemasaran berubah, terutama saat diberlakukan pembatasan kegiatan masyarakat darurat (PPKM Darurat). Salah satu cara alternatif untuk meningkatkan kapasitas penjualan adalah melalui pemasaran digital online yang berfokus pada pemasaran digital melalui website yang digunakan sebagai e-commerce, media sosial, mesin pencari, dan membentuk tim reseller untuk menjual produknya. Di masa pandemi, industri jamu harus cepat beradaptasi seiring dengan PPKM Darurat, karena hal ini akan mengubah tren perilaku konsumen dalam membeli produk jamu. Salah satu industri jamu yang menjadi mitra proyek ini adalah Usaha Kecil Menengah (UKM) Ching Lung. Melalui transformasi digital ini dapat menjadi solusi atas permasalahan yang dihadapi oleh UKM Ching Lung saat ini. Selain itu, dengan meningkatkan kreativitas model penjualan produk, UKM dapat bertahan dengan melakukan diversifikasi produk yang sesuai dengan kebutuhan di masa pandemi COVID-19. Bekerjasama dengan UKM Jamu Ching Lung, dibuatlah website online yang dirancang dengan konsep toko online untuk meningkatkan penjualan jamu dan obat tradisional di Kabupaten Sukoharjo. Melalui kegiatan ini diharapkan dapat membantu UKM untuk memasarkan produknya agar dapat dikenal oleh masyarakat luas.
Design System for Education & Health Counseling (E-Pedakos) Posyandu in Indonesia Based E-Learning Wiharto, W; Suryani, Esti; Fatimah, Siti
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2397

Abstract

The model system of education and maternal and child health counseling at the Posyandu has been done with the direct model, namely Posyandu. The increasing number of women working population affects the lessening number of participants as well as the effectiveness of this activity. This study proposed a model of maternal and child health education and counseling based on e-learning with a reference of electronic education and health counseling (e-pedakos). This study was conducted in several stages. The first stage was the establishment and development of e-pedakos systems and infrastructure. Subsequently, it was examined related to the public’s attendance and responses, which was preceded by the training on how to use E-pedakos. The last stage was the survey on system effectiveness. This counseling model counseling of e-pedakos provides an alternative to resolve the weaknesses of conventional posyandu. It promotes maternal education and counseling which can be done anytime and anywhere.
MSME Entrepreneurship Promotion Training Through On-line Applications and Global Social Media: Pelatihan Promosi Wirausaha UMKM Melalui Aplikasi On-line dan Media Sosial Global Widiarto, Wisnu; Wiharto, Wiharto; Salamah, Umi; Suryani, Esti
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 3 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i3.15761

Abstract

Technological advances have had an impact on various fields. Likewise for UMKM entrepreneurs in Gadingan-Mojolaban-Sukoharjo, to promote karak and romeo businesses. This community service program has been implemented by means of socialization, training and mentoring to UMKM entrepreneurs in Gadingan Village, regarding on-line e-commerce applications, and social media. Preliminary analysis of partners has shown problems that occur in UMKM entrepreneurs, namely a lack of understanding of on-line applications and global social media. Implementation of socialization, training and mentoring for partners has been carried out to empower UMKM entrepreneurs. It is expected that partners can follow the flow of technology and be able to face competition in this digital technology era. With increased competition, UMKM entrepreneurs are required to be able to face all challenges. This can be done by increasing product innovation and expanding marketing networks, promotions and publications about their business. The method that has been used is to provide socialization-training- mentoring in promoting and registering businesses in on-line applications and global social media.
Pendampingan Pembuatan Video Pembelajaran untuk Menunjang Penyelenggaraan Kelas Virtual di SMAN 1 Kemusu Boyolali Salamah, Umi; Wiharto, Wiharto; Suryani, Esti; Prakisya, Nurcahya PT; Setyawan, Sigit
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 11, No 1 (2022): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v11i1.55968

Abstract

Peluncurkan Rintisan Kelas Virtual di Jawa Tengah adalah inovasi di tengah pandemi Covid-19, dimana tujuannya memberi pendidikan bagi yang miskin dan putus sekolah. Karena dilaksanakan virtual, para guru di SMAN 1 Kemusu Boyolali sebagai salah satu pilot project kegiatan ini, dituntut untuk kreatif dan inovatif dalam memanfaatkan media pembelajaran sebagai penunjang proses belajar mengajar. Penggunaan Teknologi Informasi sebagai media pembelajaran sudah merupakan suatu tuntutan. Video menjadi media pilihan karena mengutamakan kekuatan suara dan gambar. Dengan video diharapkan siswa lebih mudah mengingat dan memahami apa yang diajarkan guru. Namun, penggunan video dalam pembelajaran terkendala kurangnya kemampuan sebagian besar guru dalam mengolah video untuk membuat materi bahan ajar. Untuk itu perlu dilakukan pendampingan pembuatan video pembelajaran di SMAN 1 Kemusu. Tahapan dalam kegiatan ini: (1) persiapan, membuat konsep video dengan matang dan penyiapan materi, (2) pelatihan dan pendampingan pembuatan video pembelajaran, (3) implementasi dan evaluasi. Hasil kuisioner peserta pendampingan menunjukkan bahwa terjadi peningkatan secara signifikan penggunaan video pada proses pembelajaran virtual dan juga peningkatan kualitas pembelajaran yang dilakukan. Bisa disimpulkan, tujuan pendampingan yaitu meningkatkan kompetensi para guru dalam membuat video pembelajaran dan meningkatkan kualitas pembelajaran untuk menunjang keberhasilan proses kegiatan belajar mengajar pada kelas virtual dapat tercapai dengan baik.
Pendampingan Pembuatan Karya Ilmiah dalam Rangka Peningkatan Profesionalitas Guru di SMK Negeri 1 Gantiwarno Klaten Salamah, Umi; Wiharto, Wiharto; Suryani, Esti; Prakisya, Nurcahya PT
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 11, No 1 (2022): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v11i1.56008

Abstract

Aturan kenaikan pangkat saat ini yang mensyaratkan adanya publikasi ilmiah banyak menjadi hambatan bagi para guru. Hal ini disebabkan karena guru mengalami kesulitan memulai menulis artikel yang disebabkan, antara lain kesulitan menentukan dan mengembangkan ide, kurangnya pemahaman tentang teknik penulisan, dan gagap teknologi. Akibatnya, guru kesulitan dalam menaikkan jabatan fungsionalnya. Untuk itulah dilakukan Pendampingan Pembuatan Karya Ilmiah bagi Guru SMK dalam Rangka Peningkatan Profesionalitas Guru di SMK Negeri 1 Gantiwarno Klaten. Metode pendampingan terdiri dari 5 tahapan yaitu (1) survey dan studi analisis situasi, (2) introduksi sosialisasi kegiatan dan konsep umum pembuatan artikel ilmiah, (3) edukasi dan pendampingan penggunaan Zotero dan SPSS, (4) konsultasi dan pendampingan, dan (5) evaluasi. Dari pendampingan ini dihasilkan 70% dari peserta menghasilkan draft artikel ilmiah/PTK. Hasil kuisioner yang diberikan pada peserta menunjukkan dampak positif bagi guru untuk bisa membuat karya ilmiah, terbukti dengan peningkatan minat, prioritas, dan target dalam membuat karya ilmiah. Bisa disimpulkan bahwa tujuan dari pendampingan ini yaitu meningkatkan kompetensi guru dalam menulis artikel, publikasi ilmiah, dan pengolahan data hasil penelitian berhasil dilaksanakan dengan baik
Enhancing Flood Area Segmentation in Remote Sensing Images Using Hybrid Attention Mechanism on DeepLabV3+ with ResNet-50 Backbone Ummah, Annisa Syifaul; Suryani, Esti; Dewangkoro , Herdito Ibnu
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5523

Abstract

Flooding is caused by climate change and urbanization, so rapid and accurate monitoring is essential in supporting emergency response. However, flood segmentation still faces challenges in dense vegetation. This study aims to improve and analyze the performance of the Hybrid Attention Mechanism in the form of Point-wise spatial attention (PSA) and Squeeze-and-Excitation Block (SE Block) in the DeepLabV3+ architecture with the ResNet-50 backbone. The methods used include collecting a dataset of 600 training and 63 validation, data augmentation, model development and Hybrid Attention Mechanism design, hyperparameter optimization, ablation study, and performance evaluation. The ablation results obtained show the best performance with accuracy of 0.9624, F1-score of 0.9618, IoU (Non-Flood) of 0.9323, IoU (Flood) of 0.9208, and mIoU of 0.9265, surpassing previous studies that used Modified U-Net in detecting floods in dense vegetation. This research contributes to the development of a flood segmentation model based on a hybrid attention mechanism, which is more effective in detecting flooded areas in densely vegetated regions.
Co-Authors Anif Nur Artanti, Anif Nur Atina, Vihi Azka, Hanina Nafisa Dewangkoro , Herdito Ibnu Endang Siti Rahayu Katarina Novi Wahyudiani, Katarina Novi Mufidah, Yasmin Okid Parama Astirin Pamundi, Dias Lanjar Pradityo Utomo Prakisya, Nurcahya PT Prihapsara, Fea Putri, Della K. Rahmatul Kholiq, Muhammad Hatta Sihwi, Sari W. Siti Fatimah Syamsul Arifin Umi Salamah Ummah, Annisa Syifaul Wiharto Wiharto Wiharto Wiharto, W Wisnu Widiarto