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All Journal International Journal of Electrical and Computer Engineering Majalah Forum Teknik UGM TEKNIK JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer Jurnal Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Sisfokom (Sistem Informasi dan Komputer) Aptisi Transactions on Technopreneurship (ATT) Journal of Information Systems and Informatics Jurnal Ilmu Teknik dan Komputer Jurnal Nasional Teknik Elektro dan Teknologi Informasi Buletin Abdi Masyarakat (BAM) Jurnal INFOTEL Prosiding Seminar Nasional Unimus Scientific Journal of Informatics
Oky Dwi Nurhayati
Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Klasifikasi Penyakit Daun Kopi Robusta Menggunakan Metode SVM dengan Ekstraksi Ciri GLCM Agus Supriyanto; R. Rizal Isnanto; Oky Dwi Nurhayati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i4.8044

Abstract

Many farmers in Indonesia derive their income from coffee plants, which also play a crucial role in the country’s foreign exchange earnings. However, coffee plant production may decrease due to pests and disease attacks. Leaf diseases, such as leaf spot (Cercospora coffeicola) and leaf rust (Hemileia vastatrix), are among the most common diseases to occur in coffee plants. This research seeks to identify leaf diseases in robusta coffee leaves and determine the classification. The application of machine learning-based image processing using the support vector machine (SVM) classification method based on the gray-level co-occurrence matrix (GLCM) feature extraction can be the proposed solution. The preprocessing must precede the processing stage for easier analysis of the image’s quality. Then, the k-means clustering segmentation process was conducted to distinguish leaf parts affected by leaf spot and rust from those unaffected. The GLCM method was employed as the feature extraction based on the angular second moment (ASM) or energy features, contrasts, correlations, inverse different moment (IDM) or homogeneities, and entropy with angles of 0°, 45°, 90°, and 135°, as well as inter-pixel distances of 1 until 3. The classification was done with the SVM method using the linear, polynomial, and radial basis function (RBF) Gaussian kernels. This research used leaf spot and rust images, with training and test data of 320 and 80 images, respectively. The RBF Gaussian achieved the best test results with the best accuracy of 97.5%, precision of 95.24%, recall of 100%, and F1-score of 97.56%.
Penerapan Alat Cuci Tangan Otomatis di POS PAUD Harapan Bangsa Dania Eridani; Ike Pertiwi; Risma Septiana; Oky Dwi Nurhayati; Eko Didik Widianto
Prosiding Seminar Nasional Unimus Vol 4 (2021): Inovasi Riset dan Pengabdian Masyarakat Post Pandemi Covid-19 Menuju Indonesia Tangguh
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Selama pandemi Covid 19, hampir seluruh kegiatan yang ada di masyarakat di jalankan secaradaring kecuali sektor-sektor kritikal. Berdasarkan keputusan kementrian pendidikan dankebudayaan Nomor 03/KB/2021, kegiatan pendidikan selama pandemi dapat dilakukan dengan duacara, yaitu pembelajaran jarak jauh atau daring dan pembelajaran dengan tatap muka terbatasdengan menerapkan protokol kesehatan secara maksimal. Pos PAUD Harapan Bangsa merupakantempat pembelajaran bagi anak usia dini yang berlokasi di Dukuh Pengkol RT 06 RW 07 RowosariTembalang Semarang. Selama masa pandemi ini, kegiatan pendidikan yang berjalan belum memilikijadwal aktivitas rutin dan dijalankan dengan proses tatap muka terbatas. Protokol kesehatanmenjadi hal utama yang perlu diperhatikan mengingat masih adanya proses tatap muka antarapendidik dan anak didik. Permasalahan yang ada adalah anak usia dini merupakan usia rentankarena belum melaksanakan vaksin dan mempunyai kebiasaan kurang memperhatikan perlunya cucitangan dalam kehidupan sehari-hari. Oleh karena itu, perlu adanya penerapan alat cuci tangansebagai salah satu alat protokol kesehatan penunjang kegiatan tatap muka. Hasil kegiatanpengabdian ini adalah meningkatkan protokol kesehatan yang ada di Pos PAUD Harapan Bangsadengan melakukan perancangan alat cuci tangan otomatis, penerapan alat cuci tangan otomatis, danmengajarkan cara mencuci-tangan yang benar kepada anak-anak didik. Kata Kunci : cuci-tangan, protocol kesehatan, alat cuci tangan otomatis.
Pengaruh Perbedaan Metode Penggorengan Terhadap Kualitas Fisik dan Organoleptik Aneka Camilan Sehat Isti Pudjihastuti; Siswo Sumardiono; Oky Dwi Nurhayati; Yusuf Arya Yudanto
Prosiding Seminar Nasional Unimus Vol 2 (2019): Tantangan Implementasi Hasil Riset Perguruan Tinggi untuk Industrialisasi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Penggorengan merupakan salah satu upaya proses pengolahan berbagai makanan salah satunya adalah aneka camilan yang banyak digemari oleh penduduk diIndonesia. Tujuan dari penelitian ini adalah untuk mengetahui kondisi keamanan pangan yang dilihat dari metode /proses penggorengannya. Metode penggorengan yang dilakukan ada dua yaitu pan frying dan deep frying. Perbedaan metode dan kondisi proses penggorengan akan berpengaruh terhadap kualitas  produk akhir yang dihasilkan.  Penggorengan dapat mentransfer suatu massa produk yang ditandai dengan adanya penyerapan minyak dan migrasi air yang menguap melalui minyak goreng. Vaariabel yang diuji adalah sifat fisik  meliputi warna, daya ikat air dan kerenyahan  serta organoleptic meliputi rasa, warna, tekstur dan mouthfell. Hasil penelitian  menunjukkan bahwa perbedaan metode penggorengan menghasilkan kualitas fisik dan organoleptic aneka camilan  yang berbeda.Kualitas fisik berupa daya ikat air dan kerenyahan metode pan frying 63,5%; 13,25 mm/50 gr; deep frying  84,35%, 19,6 mm/50gr. Sedaangkan kualitas organoleptic aneka camilan yang dihasilkan mempunyai rata-rata kesukaan panelis pada metode pan2,65, deep frying  3,80. Kesimpulan percobaan ini adalah metode deep frying  merupakan metode yang tepat dalam menggoreng aneka camilan agar dihasilkan produk akhir yang baik dari segi fisik maupun organoleptic.Kata kunci: Camilan, deep frying, organoleptic, pan frying
Evaluation of High-Performance Interference Canceller to Boost the Error Performance of The Wi-Fi 5 IEEE 802.11ac Syafei, Wahyul Amien; Hidayatno, Achmad; Nurhayati, Oky Dwi; Nugraheni, Dinar
TEKNIK Vol. 45, No. 1 (2024): May 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v45i1.60252

Abstract

The Wi-fi 5 IEEE 802.11ac can achieve throughput up to 6,933 Mbps by occupying 160MHz of bandwidth in each eight spatial streams with 256-QAM. It provides not only very high throughput but also high performance of wireless communications. However, due to the use of multiple antennas at both transmitter and receiver side which operate in the same frequency band; it experiences many interference signals. Therefore, a high-performance interference canceller is highly required to cancel these interferences and get the desired information back. The conventional interference cancellers are based on linear method, i.e. zero forcing and minimum mean square error. Both are simple but low in performance. This paper presents evaluation of a high-performance interference canceller based on maximum likelihood detection to boost the error performance of the wi-fi 5. Run test under in-door channel model demonstrates the superiority of this interference canceller. For target bit error rate of 10-4, it dramatically boosts the error performance by 16 dB and 17,5 dB compared to linear methods by the cost of very high complexity.
Gaussian filter-based dark channel prior for image dehazing enhancement Nurhayati, Oky Dwi; Surarso, Bayu; Syafei, Wahyul Amien; Nugraheni, Dinar Mutiara Kusumo
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5765-5778

Abstract

The presence of haze in an image is one of the challenges in computer vision tasks, such as remote sensing, object monitoring, and traffic monitoring applications. The hazy image is considered to contain noise and it can interfere with the image analysis process. Thus, image dehazing becomes a necessity as part of image enhancement. Dark channel prior (DCP) is one of the images dehazing methods that works based on a physical degradation model and utilizes low-intensity values from outdoor image characteristics. The DCP method generally consists of some steps, which are finding the dark channel and gradient image, estimating the sky region, atmospherical light, and transmission map, and reconstructing the dehazed image. This study introduces image dehazing by utilizing the Gaussian filter combined with the DCP method to increase the sharpness and accentuate the details of hazy images. Experimental results show that the proposed method could produce dehazed images with a visual quality is 18.94 dB on average or an increase of 11.91% compared to the original hazy image with a similarity index is 66.71% on average or an increase of 8.10%. Therefore, it is expected that this study can contribute to the image dehazing method enrichment based on DCP.
Pembelajaran Daring Berbasis Youtube dan Open Broadcasting System Bagi Guru-guru MA Muallimin Muallimat Rembang Oky Dwi Nurhayati; Bayu Surarso; Migunani Migunani; Ahmad Aviv Mahmudi
Buletin Abdi Masyarakat Vol 4, No 2 (2024): Edisi Februari 2024
Publisher : Universitas YPPI Rembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47686/bam.v4i2.670

Abstract

The development of Information and Communication Technology (ICT) as a learning medium requires teachers to have adequate knowledge and skills in integrating it into each subject so that the quality of learning can be improved. One of the phenomena currently visible is that teachers have not been able to use ICT properly as a learning medium. This is caused by many factors, including lack of knowledge and skills, wrong views about ICT. Madrasah Aliyah Mu'allimin Mu'allimat Rembang (M3R) is located on the outskirts of Rembang city, precisely in Kabongan Kidul Village, Rembang District, Rembang Regency. The number of students actively studying is 360 students, taught by 25 teachers and the support of 6 educational staff. . M3R as an institution is also required to provide the latest innovations to form an effective learning process. However, not all teachers and educational staff do not understand the latest innovations that must be used to carry out learning by utilizing internet media which can be utilized optimally. Due to the lack of teachers' ability to create content or learning materials and classroom teaching online, it is necessary to increase the capacity and skills of teachers in creating content and managing online teaching. The method used in the PkM program provides training and practice as well as assistance in the use of information and communication technology in learning activities at schools using open broadcasting systems and YouTube. The outcome of this PkM program is that teachers master and are able to create and use learning media using open broadcasting systems and YouTube and implement them as learning media.Keywords: Information and Communication Technology, open broadcasting system, YouTube, content, learning
BUSINESS INTELLIGENCE MODEL OF REGIONAL HOSPITALS USING HGOD DISCOVERY Hengki, Hengki; Gernowo, Rahmat; Nurhayati, Oky Dwi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. The Net Death Rate (NDR) is the death rate 48 hours after being treated for every 1000 patients discharged of 67,388 compared to the health department standard of <25. TOI (Turn Over Interval) is the average turnover period of days where a bed is unoccupied from being filled to the next time it is filled of 19,832 days compared to the health department standard of 1 to 3 days. The solution offered by the researcher develops Business Intelligence (BI) optimization with a new model called the HGO (Hierarchy, Governance, Outlook) Discovery approach as a framework model for developing business intelligence for regional general hospitals in Indonesia. This model is expected to be able to solve or reduce the dimensional problems that exist in hospitals, namely the main patient management, HR Key Resources, and the quality of inpatient health services. The HGO Discovery approach is able to find patterns in a series of events called sequences by sorting the work patterns that exist in the hospital so that the business process of regional general hospitals is faster and more interactive in decision making. The Business Intelligence approach carried out by regional hospitals with HGOD is expected to make patient health services more integrated through the hierarchy of patient services, governance and outlook in decision making. 
Pneumothorax Detection System in Thoracic Radiography Images Using CNN Method Fardana, Nouvel Izza; Isnanto, R. Rizal; Nurhayati, Oky Dwi
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.16635

Abstract

Purpose: This research aims to develop an automatic pneumothorax detection system using Convolutional Neural Networks (CNN) to classify thoracic radiography images. By leveraging CNN's effectiveness in identifying medical abnormalities, the system seeks to enhance diagnostic accuracy, reduce evaluation time, and minimize subjective interpretation errors. The output will provide a predicted label of "pneumothorax" or "non-pneumothorax," facilitating faster clinical treatment and improving diagnostic services while supporting radiologists in making more accurate and efficient decisions for this critical condition. Methods: This research employs an experimental deep learning approach using Convolutional Neural Networks (CNN) to detect pneumothorax in thoracic radiography images. The CNN model is trained on an annotated dataset with preprocessing steps, including zooming, brightness adjustment, flipping and format adjustment, followed by performance evaluation using accuracy, precision, recall, and F1 score metrics. Result: The results showed that the CNN model detected pneumothorax with 79.59% accuracy, a loss of 1.3056, and 1,092 correct predictions out of 1,372 test data. Precision was 51.12%, recall 78.62%, and F1 score 61.96%, confirming the system's potential, though further optimization is needed. Novelty: The novelty of this research lies in developing an automated pneumothorax detection system using a CNN architecture, improving diagnostic accuracy and efficiency. Despite high accuracy, precision and recall can be improved. Future research can focus on optimizing the model and applying data augmentation techniques.
Development of Enterprise Architecture in Improving the Efficiency of Hajj and Umrah Services of the Ministry of Religious Affairs of Lubuklinggau City with TOGAF Rosyada, Amrina; Mustafid, Mustafid; Nurhayati, Oky Dwi
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp126-133

Abstract

The Ministry of Religious Affairs of Lubuklinggau City organizes government affairs in Hajj and Umrah services. This research aims to design an enterprise architecture that can align the implementation of information systems with ongoing business activities, to improve the quality of hajj and umrah services at the Ministry of Religious Affairs of Lubuklinggau City. The method used in this study is the TOGAF Architecture Development Method (ADM), which consists of several phases: introduction, architectural vision, business architecture, data architecture, application architecture, technology architecture, and opportunities and solutions. The results of this study are in the form of an enterprise architecture blueprint that includes artifacts in the form of diagrams, catalogs, and matrices to describe existing conditions and proposed target conditions. In addition, this study produces a roadmap as a reference for implementing the architectural design that has been made. In conclusion, designing an enterprise architecture using TOGAF ADM can support the integration of information systems and business activities, thus potentially increasing the efficiency and effectiveness of hajj and umrah services at the Ministry of Religious Affairs of Lubuklinggau City.
Business Intelligence Model of Regional Hospitals using HGOD Discovery Hengki, Hengki; Gernowo, Rahmat; Nurhayati, Oky Dwi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i1.2320

Abstract

Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. The Net Death Rate (NDR) is the death rate 48 hours after being treated for every 1000 patients discharged of 67,388 compared to the health department standard of <25. TOI (Turn Over Interval) is the average turnover period of days where a bed is unoccupied from being filled to the next time it is filled of 19,832 days compared to the health department standard of 1 to 3 days. The solution offered by the researcher develops Business Intelligence (BI) optimization with a new model called the HGO (Hierarchy, Governance, Outlook) Discovery approach as a framework model for developing business intelligence for regional general hospitals in Indonesia. This model is expected to be able to solve or reduce the dimensional problems that exist in hospitals, namely the main patient management, HR Key Resources, and the quality of inpatient health services. The HGO Discovery approach is able to find patterns in a series of events called sequences by sorting the work patterns that exist in the hospital so that the business process of regional general hospitals is faster and more interactive in decision making. The Business Intelligence approach carried out by regional hospitals with HGOD is expected to make patient health services more integrated through the hierarchy of patient services, governance and outlook in decision making.
Co-Authors Achmad Hidayatno Adhi Susanto Adi Mora Tunggul Adi, Yudi Restu Agung Budi Prasetijo Agung Budi Prasetijo Agus Subhan Akbar, Agus Subhan Agus Subkhi Hermawan Agus Supriyanto Ahmad Aviv Mahmudi Ahmad Muzami Aji Yudha Al Iman, Yusraka Dimas Alim Muadzani Ambrina Kundyanirum Amrina Rosyada Anggi Anugraha Putra Anggit Sri Herlambang Anggoro Mukti Anisa Eka Utami Annisa Hedlina Hendraputri Aria Hendrawan, Aria Arief Puji Eka Prasetya Atik Zilziana Muflihati Noor Aulia Medisina Ramadhan Bayu Surarso Budi Warsito Catur Edi Widodo Christine Dewi Damar Wicaksono Danal Meizantaka Daeanza Dania Eridani Dania Eridani Deryan Gelrandy Diana Nur Afifah, Diana Nur Dinar Mutiara Kusumo Nugraheni Dwiana Okviandini Dwiyanasari, Desty Eggy Listya Sutigno Eko Didik Widianto Eko Sediyono Fardana, Nouvel Izza Fathuddin, Harits Febi Andrea Renatha Galuh Boy Hertantyo Gayuh Nurul Huda Gumay, Naretha Kawadha Pasemah Hadi Hilmawan Hanna Mariana Baun, Hanna Mariana hastuti, Isti Pudji Hendra Pria Utama Hengki Hengki Ike Pertiwi Ike Pertiwi Windasari Ike Pertiwi Windasari Ikhsan, Hammas Zulfikar Imaduddin Abdul Rahim Indra Aditia Indra Permana Isti Pudjihastuti Julce Adiana Sidette, Julce Adiana Juwanda, Farikhin Keszya Wabang Kurniawan Teguh Martono Kusworo Adi Lazuardi Arsy Lia Dorothy M Irfan Syarif Hidayatullah M. Rizki Kurniawan Maesadji Tjokronagoro Menur Wahyu Pangestika, Menur Wahyu Merdekawati, Utami Mey Fenny Wati Simanjuntak Mifta Ardianti Migunani Migunani Muhammad Nasrullah Muhammad Naufal Prasetyo Muhammad Ridwan Asad Mustafid Mustafid Ningrum, Alifvia Arvi Ninik Rustanti Nofiyati Nofiyati, Nofiyati Nugraheni, Dinar Nugroho Adhi Santoso Nurazizah Nurazizah Nurhuda Maulana Nurul Arifa Nuryanto . Otong Saeful Bachri Prio Pambudi R Rizal Isnanto R. Rizal Isnanto R. Rizal Isnanto Rahmat Gernowo Rahmawati, Nurhita Reza Najib Hidayat Reza Setiawan Rian Haris Muda Nasution Rinta Kridalukmana Risma Septiana Rismawan Fajril Falah Riyadhi Sholikhin Rizki Galang Rahmadani Satriaji Cahyo Nugroho Siswo Sumardiono Sri Widodo, Thomas Suryo Mulyawan Raharjo Suryono Suryono Teguh Hananto Widodo Thomas Sri Widodo Tristy Meinawati Tsalavin, Muhammad Hafiz Tyas Panorama Nan Cerah Ulinuha, Ajik Wahyul Amien Syafei Wijaya Wahyudi Akbar Yessy Kurniasari Yudhi Kasih Pasaribu Yudi Eko Windarto Yudi Restu Adi Yusuf Arya Yudanto Zaskia Wiedya Sahardevi