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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Bulletin of Electrical Engineering and Informatics Jurnal Penelitian Pendidikan Kreano, Jurnal Matematika Kreatif-Inovatif International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Buletin Ilmiah Sarjana Teknik Elektro Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Journal of Soft Computing Exploration Devotion: Journal of Research and Community Service Unnes Journal of Mathematics Education Unnes Journal of Mathematics Journal of Advances in Information Systems and Technology Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Innovative: Journal Of Social Science Research Recursive Journal of Informatics Scientific Journal of Informatics Journal of Economic Resilience and Sustainable Development Jurnal Abdi Negeri Recursive Journal of Informatics
Endang Sugiharti, Endang
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Pelatihan New Media pada Perangkat Desa Wadaslintang Wonosobo dalam Digitalisasi Promosi Wisata Setiawan, Abas; Arifudin, Riza; Sugiharti, Endang; Sekartaji, Novanka Agnes; Nugroho, Prisma Bayu; Subarkah, Agus
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1556

Abstract

Kecamatan Wadaslintang, Kabupaten Wonosobo, merupakan salah satu daerah di Jawa Tengah yang memiliki potensi wisata yang menjanjikan. Sayangnya potensi wisata tersebut kurang terpublikasi sehingga belum banyak masyarakat yang tahu. Kecamatan Wadaslintang membutuhkan peningkatan literasi digital terutama untuk digitalisasi dan promosi potensi wisata pada perangkat desa. Sebagai solusi untuk menjawab permasalahan tersebut, kami melakukan pelatihan penggunaan New Media khususnya Canva, CapCut, dan Instagram bagi perangkat desa. Ada lima tahapan utama pelatihan ini, yaitu pembekalan dan sosialisasi, paparan konsep new media, demonstrasi dan praktek pembuatan konten, distribusi, dan pendampingan. Kegiatan tersebut dilakukan di kantor Kecamatan Wadaslitang Kabupaten Wonosobo dengan 30 peserta perangkat desa. Perangkat desa dapat membuat konten gambar dengan Canva dan konten video dengan CapCut yang kemudian di bagikan pada sosial media Instagram. Perangkat desa cukup menggunakan smartphone masing-masing dalam melakukan kegiatan ini, sehingga mereka merasa antusias dan lebih leluasa dalam melakukan praktik. Sebagai evaluasi kegiatan ini, dilakukan pengujian pre-test dan post-test. Hasil evaluasi tersebut menunjukkan bahwa tingkat literasi dan komunikasi digital perangkat desa Kecamatan Wadaslintang meningkat seiring dengan pelatihan yang sebelumnya telah dipraktekkan. Pendampingan daring dilakukan sebagai tindak lanjut dari pelatihan sehingga perangkat desa bisa saling bertukar informasi dan berkolaborasi seusai pelatihan.
Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction Jumanto, Jumanto; Rofik, Rofik; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Prasetiyo, Budi; Muslim, Much Aziz
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 1 (2024): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.1.38-50

Abstract

Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the central nervous system and often causing impaired movement and cognitive function in patients. In addition, its diagnosis in the early stages requires a complex and time-consuming process because all existing tests such as electroencephalography or blood examinations lack effectiveness and accuracy. Several studies explored PD prediction using sound, with a specific focus on the development of classification models to enhance accuracy. The majority of these neglected crucial aspects including feature extraction and proper parameter tuning, leading to low accuracy. Objective: This study aims to optimize performance of voice-based PD prediction through feature extraction, with the goal of reducing data dimensions and improving model computational efficiency. Additionally, appropriate parameters will be selected for enhancement of the ability of the model to identify both PD cases and healthy individuals. Methods: The proposed new model applied an OpenML dataset comprising voice recordings from 31 individuals, namely 23 PD patients and 8 healthy participants. The experimental process included the initial use of the SVM algorithm, followed by implementing PCA for feature extraction to enhance machine learning accuracy. Subsequently, data balancing with SMOTE was conducted, and GridSearchCV was used to identify the best parameter combination based on the predicted model characteristics.  Result: Evaluation of the proposed model showed an impressive accuracy of 97.44%, sensitivity of 100%, and specificity of 85.71%. This excellent result was achieved with a limited dataset and a 10-fold cross-validation tuning, rendering the model sensitive to the training data. Conclusion: This study successfully enhanced the prediction model accuracy through the SVM+PCA+GridSearchCV+CV method. However, future investigations should consider an appropriate number of folds for a small dataset, explore alternative cross-validation methods, and expand the dataset to enhance model generalizability.   Keywords: GridSearchCV, Parkinson Disaese, SVM, PCA, SMOTE, Voice/Speech
Perubahan nilai kedaulatan pangan pada sistem pertanian subak di Bali dengan pendekatan life story Fauzan, Riantama Sulthana; Sugiharti, Endang
Journal of Economic Resilience and Sustainable Development Vol. 1 No. 1: (February) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/ersud.v1i1.2024.473

Abstract

As a local wisdom agricultural system in Bali, Subak is threatened in maintaining food sovereignty in the Bali region. This is because farmers no longer fully implement the Tri Hita Karana principles in their agricultural systems. Currently, farmers are turning to the Green Revolution agricultural system which has principles that are contrary to those contained in the food sovereignty system. This study aims to determine the extent to which the Green Revolution has degraded the food sovereignty of Subak which applies the values of Tri Hita Karana so that it can identify the root causes of problems and solutions that can be carried out to maintain food sovereignty. This research uses qualitative research design and Life History method to understand various changes that occur in depth. Data collection is done using observation, literature, and conduct direct interviews with three Subaks in Tabanan regency. The results showed a shifting orientation from the human-based agricultural system to capital and technology. The results of this shift degrade the food sovereignty of Subak, especially the rights of farmers as well as environmental and cultural degradation. The Green Revolution did not directly affect Subak's food sovereignty, but the farmers who were influenced by changes brought by the Green Revolution made Subak not sovereign.
Implementation of NXT 2.0 Mindstorm Robot Sensors on Mobile Education for Students Kuncoro, Rizki Danang Kartiko; Arifudin, Riza; Sugiharti, Endang
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2018: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2289

Abstract

In the current 4.0 industry era, technological development is very fast and fast. In the world of education the lessons about technology should have been introduced to students since elementary school. Do not have to use complex technology, enough to use robotics technology from the NXT 2.0 LEGO minstorm robot which is lego-based to play and learn algorithms in composing technology. Using this tool can also be controlled by the smartphone application. Using a mobile application that we designed will make it easier for students to use and play this educational media. In this media, each sensor in the robot will be interrelated to the mobile control, we have tested this control with 83.33% detection accuracy. So that it can effectively become an interactive and fun technology-based learning media for students. The purpose of this educational media is to improve the quality of education in Indonesia so that it can be technology-based and enjoyable for students. Because the application of technology to education is very important to hone the power of creative thinking in composing programming algorithms using robots. Students will be very interested and have good enthusiasm in learning robotics based on this mobile application.
Sign Language Mathematics Lecture Video as Assistive Technology for Inclusive Class in Higher Education Sugiman, Sugiman; Suyitno, Amin; Pujiastuti, Emi; Sugiharti, Endang; Wusqo, Indah Urwatin
Kreano, Jurnal Matematika Kreatif-Inovatif Vol 13, No 1 (2022): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : Mathematics Dept, Math. and Science Faculty, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kreano.v13i1.33342

Abstract

This research was motivated by the acceptance of one deaf student in the Department of Computer Science UNNES in the 2020/2021 academic year. Therefore, this research aims to provide the study with efforts to increase the absorption of deaf students in the inclusive class through the discovery of Assistive Technology. The method used in this research is Mixed Method with a qualitative and Research Development (RD) approach. Data collection includes class observations, interviews, triangulation of results, and stages of RD. Research activities include: (1) lecturer of mathematical courses made PPt files, filled in Lecturer's Voice, and filled in Sign Language. (2) Video tested in inclusive class. (3) Finalization of Assistive Technology Videos and the results were noted. Research Results: (1) multi-function video prototypes were obtained for deaf students in inclusive classes in mathematical courses. (2) There was an increase in the activity and absorption of students in the inclusive class. In conclusion, it is necessary to make assistive technology in the form of learning videos that contain sign language to increase the absorption of deaf students in the inclusive class in mathematical courses.Penelitian ini dilatarbelakangi telah diterimanya satu mahasiswa Tunarungu pada Jurusan Ilmu Komputer UNNES pada tahun ajaran 2020/2021. Oleh karena itu tujuan penelitian ini adalah memberikan kajian upaya meningkatkan daya serap mahasiswa Tunarungu di kelas Insklusif melalui penemuan Teknologi Asistif. Metode dalam penelitian ini menggunakan metode mixed method dengan pendekatan kualitatif dan Research Development (RD). Pengumpulan data meliputi; observasi kelas, wawancara, triangulasi hasil, dan tahapan RD. Kegiatan penelitian meliputi: (1) dosen pengampu mata kuliah matematis membuat file PPt, diisi suara dosen, dan diisi Bahasa Isyaratnya. (2) Video diujicobakan di kelas Inklusif. (3) Finalisasi video Teknologi Asistif dan dicatat hasilnya. Hasil penelitian: (1) Diperoleh Prototip video Multi-Fungsi untuk mahasiswa Tunarungu di kelas Inklusif pada mata kuliah matematis. (2) Ada peningkatan aktivitas dan Daya Serap mahasiswa di kelas Inklusif. Kesimpulannya: Untuk meningkatkan daya serap mahasiswa Tunarungu di kelas Insklusif pada mata kuliah matematis, perlu dibuat Teknologi Asistif berupa video pembelajaran yang berisi Bahasa Isyarat.
Alphabet Classification of Sign System Using Convolutional Neural Network with Contrast Limited Adaptive Histogram Equalization and Canny Edge Detection Raharjo, Ahmad Solikhin Gayuh; Sugiharti, Endang
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.44137

Abstract

Purpose: There are deaf people who have problems in communicating orally because they do not have the ability to speak and hear. The sign system is used as a solution to this problem, but not everyone understands the use and meaning of the sign system, even in terms of the alphabet. Therefore, it is necessary to classify a sign system in the form of American Sign Language (ASL) using Artificial Intelligence technology to get good results.Methods: This research focuses on improving the accuracy of ASL alphabet classification using the VGG-19 and ResNet50 architecture of the Convolutional Neural Network (CNN) method combined with Contrast Limited Adaptive Histogram Equalization (CLAHE) to improve the detail quality of images and Canny Edge Detection to produce images that focus on the objects in it. The focused result is the accuracy value. This study uses the ASL alphabet dataset from Kaggle.Result: Based on the test results, there are three best accuracy results. The first is using the ResNet50 architecture, CLAHE, and an image size of 128 x 128 pixels with an accuracy of 99.9%, followed by the ResNet50 architecture, CLAHE + Canny Edge Detection, and an image size of 128 x 128 pixels with an accuracy of 99.82 %, and in third place are the VGG-19 architecture, CLAHE, and an image size of 128 x 128 pixels with an accuracy of 98.93%.Novelty: The novelty of this study is the increase in the accuracy value of ASL image classification from previous studies.
Implementasi E-Ujian Sebagai Sistem Penilaian Pembelajaran Daring di SMP Islam Roudlotus Saidiyyah Semarang Hakim, M. Faris Al; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Abidin, Zaenal; Putra, Anggyi Trisnawan
Jurnal Abdi Negeri Vol 2 No 1 (2024): Januari 2024
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v2i1.18

Abstract

The presence of the COVID-19 outbreak has led to the implementation of online learning from the location of each home. SMP Islam Roudlotus Saidiyyah Semarang has transformed learning by utilizing various applications. However, for the purposes of final semester assessment or integrated assessment, an online exam application is needed that is easy to use and able to provide data on student learning outcomes accurately and quickly. The implementation method consists of preparation, training, and evaluation. The results of the training showed that the E-Ujian application as an application for online assessment has the potential to be applied at SMP Islam Roudlotus Saidiyyah Semarang. The utilization of the E-Ujian Application in learning activities in the partner environment is an effort to maintain the quality of learning.
Potensi Guru Matematika SMP Mengembangkan LKS Terintegrasi Evaluasi Digitalnya untuk Meningkatkan Kreativitas Matematis Siswa Pujiastuti, Emi; Sugiman; Sugiharti, Endang; Sungkowo, Nanang
PYTHAGORAS Jurnal Matematika dan Pendidikan Matematika Vol. 20 No. 1 (2025)
Publisher : Department of Mathematics Education, Faculty of Mathematics and Natural Sciences, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pythagoras.v20i1.90280

Abstract

Perkembangan teknologi pendidikan mendorong perlunya inovasi dalam pembelajaran matematika, salah satunya melalui digitalisasi Lembar Kerja Siswa (LKS) yang terintegrasi dengan evaluasinya untuk mendukung Kompetensi Kreativitas Matematis. Penelitian ini bertujuan memperoleh gambaran kemampuan guru matematika SMP di wilayah eks-Karesidenan Semarang dalam melakukan digitalisasi LKS tersebut, sekaligus menilai kompetensi kreativitas matematis siswa selama implementasinya. Penelitian menggunakan metode campuran dengan pendekatan kuantitatif dan kualitatif. Sampel terdiri atas 20 guru matematika, enam di antaranya diwawancarai untuk pendalaman kualitatif. Analisis kuantitatif dilakukan menggunakan uji-t berbantuan SPSS, sedangkan analisis kualitatif melalui reduksi data, penyajian data, interpretasi, dan penarikan kesimpulan. Hasil menunjukkan rata-rata kemampuan guru sebesar 87,98 dan penerimaan positif terhadap digitalisasi LKS sebagai inovasi pembelajaran. Kompetensi kreativitas matematis siswa dari dua SMP menunjukkan nilai rata-rata 85,44 dan 83,00 setelah implementasi. Kendala utama mencakup keterbatasan jaringan Wi-Fi dan kebutuhan kuota internet. Temuan ini menegaskan bahwa digitalisasi LKS efektif mendukung kreativitas matematis siswa serta layak diterapkan lebih luas, dengan dukungan pelatihan guru dan penguatan infrastruktur teknologi.
Customer Switching Behavior of Patimban Port Service Users Bunardi, Gunawan; Sugiharti, Endang; Sonny, Imam
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol. 12 No. 3 (2025): November
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v12i3.1571

Abstract

Tanjung Priok Port has been experiencing cargo congestion and a slowdown in the flow of goods, resulting in bottlenecks and congestion around the port. Patimban Port as a national strategic project is expected to synergize with Tanjung Priok Port and offers a solution to this problem. However, customer switching from Tanjung Priok Port to Patimban Port remains low. This research aims to analyze the performance of port operational services, competitiveness between ports, and customer switching behavior from Tanjung Priok Port to Patimban Port. Qualitative research is adopted for this study, with data collection performed through literature study, observation and interviews. This study utilizes qualitative descriptive analysis method and two round Delphi method for data analysis. The research results demonstrate that the operational service performance of Tanjung Priok Port and Patimban Port is satisfactory. In addition, Tanjung Priok Port boasts superior competitiveness compared to Patimban Port. Competitive advantages offered by Tanjung Priok Port include facilities and capacity, easy road access, and port digitalization, meanwhile, Patimban Port offers advantages in terms of loading and unloading speed and more competitive rates. The switching of customers from Tanjung Priok Port is relatively not optimal due to service quality, loading and unloading speed, road accessibility and logistics costs. Policy stimulus and promotional strategies are therefore necessary to encourage customer switching behavior.
Brain Tumor Classification on Magnetic Resonance Imaging Images using Convolutional Neural Network with Cycle Generative Adversarial Network and Extreme Gradient Boosting Aji, Akbar Lintang; Sugiharti, Endang
Recursive Journal of Informatics Vol. 3 No. 2 (2025): September 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v3i2.486

Abstract

Abstract. With the current advancement in technology, image classification process can be carried out through computer processing. This can also be applied to various fields, one of which is the health sector. The health sector is known for its high complexity in pattern recognizing of diseases. One of the diseases that is difficult to classify is brain tumors.             Purpose: This study aims to improve the accuracy of classification in brain MRI images, which are known to have a small and unbalanced sample. This limitation poses challenges in developing an effective classification model. The classification model is highly dependent on the quantity of data used for training. Therefore, data augmentation techniques play a crucial role in influencing the model's performance. Methods/Study design/approach: In this study, CNN model using VGG-19 architecture was used to learn feature of brain tumor in brain MRI images. Additionally, CycleGAN is used to augment and balance the data, addressing issues related to data scarcity and imbalance, thus improving diversity of the dataset. And then, XGBoost is applied to classify the feature learned by the CNN model. Result/Findings: CycleGAN has the ability to generate new image by transferring characteristics between images with different classes, making it a suitable to replace traditional data augmentation techniques in CNN. Additionally, XGBoost can be used to improve the classification results by classifying the features learned by CNN model during the training process. The proposed combination method achieves a highest accuracy of 97.37%. Novelty/Originality/Value: CNN combined with CycleGAN and XGBoost successfully improved the accuracy of the model and addresed data scarcity and imbalances in the dataset used. This combined method can improve the accuracy of the classification models. This is proven by an accuracy increase of 0.36% when compared to previous research.
Co-Authors Abas Setiawan Adha, Nugraha Saputra Adi, Pungky Tri Kisworo Adi, Pungky Tri Kisworo Afifah, Eka Nur Afifah, Eka Nur Aji, Akbar Lintang Al Hakim, M. Faris Alamsyah - Amin Suyitno Anggara, Dian Christopher Anggyi Trisnawan Putra Arief Broto Susilo Astuti, Winda Try Astuti, Winda Try Asyrofiyyah, Nuril Atikah Ari Pramesti, Atikah Ari Auni, Ahmad Ramadhan Boro, Fabian Dominggus Eka Budi Prasetiyo, Budi Bunardi, Gunawan Choirunnisa, Rizkiyanti Clarissa Amanda Josaputri, Clarissa Amanda Devi, Feroza Rosalina Devi, Feroza Rosalina Dian Tri Wiyanti Dwijanto Dwijanto, Dwijanto Dwika Ananda Agustina Pertiwi Emi Pujiastuti Fauzan, Riantama Sulthana Fitriana, Erma Nurul Florentina Yuni Arini, Florentina Yuni Hakim, M. Faris Al Hani'ah, Ulfatun Hariyanto, Abdul Hernowo, Mutiara Heryadi, Muhammad Heri Imam Sonny, Imam Indah Urwatin Wusqo Isa Akhlis Juliater Simamarta Jumanto Jumanto, Jumanto Jumanto Unjung Khoirunnisa, Oktaria Gina Korzhakin, Dian Alya Krida Singgih Kuncoro Kuncoro, Rizki Danang Kartiko Kurniawati, Putri Aida Nur Lestari, Dewi Indah Listiana, Eka Malisan, Johny Maulidia Rahmah Hidayah, Maulidia Rahmah Much Aziz Muslim Much Aziz Muslim Muhammad Kharis Mulyono Mulyono Muzayanah, Rini Nofrisel, Nofrisel Nugroho, Prisma Bayu Perbawawati, Anna Adi Perbawawati, Anna Adi Pipit Riski Setyorini Pradana, Dany Pradhana, Fajar Eska Purnamasari, Ratnaningtyas Widyani Raharjo, Ahmad Solikhin Gayuh Ratri Rahayu Riza Arifudin Rofik Rofik, Rofik Rupiah, Siti S.Pd. M Kes I Ketut Sudiana . Sampurno, Global Ilham Sampurno, Global Ilham Sari, Firar Anitya Sekartaji, Novanka Agnes Sekarwati Ariadi, Tiara Subarkah, Agus Sugiman Sugiman Sugiman Sukestiyarno Sukestiyarno Sukmadewanti, Irahayu Sukmadewanti, Irahayu Sulis Eli Triliani, Sulis Eli Sungkowo, Nanang Supriyono Supriyono Susanti, Eka Lia Sutarti, Sri Sutarti, Sri Umi Latifah Vedayoko, Lucky Gagah Vedayoko, Lucky Gagah Whisnu Ulinnuha Setiabudi, Whisnu Ulinnuha Wijaya, Henry Putra Imam Zaaidatunni'mah, Untsa Zaenal Abidin