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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) Emerging Science Journal Insect (Informatics and Security): Jurnal Teknik Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer CYBERNETICS Literasi Hukum Buletin Ilmiah Sarjana Teknik Elektro International Journal of Robotics and Control Systems Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Journal of Advanced Health Informatics Research SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Purwono, Purwono
Universitas Harapan Bangsa
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Socialization of Basic Software and Microsoft Word Application Training for Elementary Students Musafa Widagdo; Purwono Purwono; Marlia Hafny Afrilies; Hadi Jayusman
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 3 No. 2 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v3i2.116

Abstract

The progress of software is increasing along with the rapid development of technology. Software is made to facilitate human work. The convenience of the application cannot be maximized if users do not understand how to use it properly. This is generally caused by a lack of facilities and experts in the technology field, and it impacts users' lack of knowledge and insight. To keep pace with technological developments, each individual must learn the latest technologies, and one way is to attend training. Karang Duren Village is one of the areas in Sokaraja District, Banyumas Regency, Indonesia. Awareness in the field of Education in the Karang Duren Village area is very high, but they have problems related to education costs. This prompted the lecturers and students of Harapan Bangsa University to become resource persons in providing outreach and training to grade 6 students at SD Negeri 2 Karangduren as a form of effort to help increase insight and knowledge about operating software, especially Microsoft Word, correctly. This training is beneficial for elementary school students to add understanding and knowledge about Microsoft Word software and training. The training objectives can be achieved optimally if supported by more complete software facilities for student learning media.
Pengembangan Arsitektur Sistem Informasi Multi Toko Emas pada Adil Gold Store Purwono Purwono; Bala Putra Dewa
Jurnal IT UHB Vol 4 No 1 (2023): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v4i1.1186

Abstract

The development of information technology has an impact on the number of information systems in various fields as a form of implementing technological needs in the digital era. Gold shop is one type of business that requires an information system because there are still many transaction processes that are processed manually so that errors occur in the reports. Adil Gold Store is one of the largest gold shops in Banyumas Regency, which has 6 main branches, namely Wangon, Ajibarang, Cilongok, Pemalang, Jatilawang and Cilacap. Adil Gold Store requires an information system with centralized data, meaning that both buying and selling of gold can be monitored in one application by the owner. Management of product stock and inventory is also still manual which is ineffective. The additional innovation needed is the need for a mobile application for members. Based on these needs, an information system was created using the prototype method. This is because the gold shop is a very complex system and requires more in-depth analysis. The result of developing this system is a gold shop website equipped with a mobile application for members. The results of system testing show that performance is considered quite good because the testing accuracy of each role is above 90%, but some system errors still need to be fixed so that they can actually run properly
Evaluation of Stochastic Gradient Descent Optimizer on U-Net Architecture for Brain Tumor Segmentation Purwono Purwono; Iis Setiawan Mangkunegara
International Journal of Robotics and Control Systems Vol 3, No 3 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i3.1104

Abstract

A brain tumor is a type of disease that is quite dangerous in the world. This disease is one of the main causes of human death and has a high risk of recurrence. There are several types of brain tumor locations such as edema, necrosis to elevation. Segmenting the location of this disease is important to do to support faster recovery efforts. The Convolutional Neural Network (CNN) algorithm, which is part of the deep learning method, can be an alternative to this segmentation effort. The U-Net architecture is part of the CNN algorithm which specifically works on medical image segmentation. This study experimented to build a special U-Net architecture for medical image segmentation that had been optimized with SGD. The data used is BraTS2020O which contains a collection of MRI data. This optimization aims to improve the performance of the U-net architecture for segmenting brain tumor images. The results of the study show that the SGD optimization carried out has succeeded in providing better performance than previous studies. This can be seen from the performance value obtained at 0.9879. This accuracy value indicates an increase in accuracy from previous studies. High accuracy indicates that the SGD-optimized model has good segmentation prediction performance.
Sosialisasi Prospek Karir pada Bidang Teknologi Informasi di SMKN 1 Purwokerto Purwono Purwono; Barlian Kristanto; Bala Putra Dewa; Yuris Tri Naili
Jurnal Pengabdian Masyarakat - PIMAS Vol 2 No 3 (2023): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v2i3.1222

Abstract

The development of information technology continues to increase lately. Indonesia is one of the countries that is also affected by the development of this information technology. The younger generation is the most important part of a nation that needs to be directed and educated so they can have a better future. The younger generation can take advantage of the potential of technological developments. Emerging various types of new professions in the field of IT makes a promising opportunity. Community service activities carried out by Harapan Bangsa University lecturers and students are a manifestation of the Main Performance Indicators (IKU) of tertiary institutions, namely students who have experience outside the campus and lecturers who are active outside the campus. The activities carried out were socialization related to career prospects in the field of information technology at SMK N 1 Purwokerto which was carried out on February 8 2023. The activities that had been carried out went well and smoothly. This activity has succeeded in opening new insights for students of SMK N 1 Purwokerto about the many career opportunities in the field of information technology. Students can also consider the right major when pursuing higher education if they want a career in information technology
Penerapan Presensi Perawat Menggunakan Teknologi RFID Berbasis Web di Puskesmas Cikeusal Kidul Kab. Brebes Sandi Najib Iskandar; Purwono Purwono; Anggit Wirasto
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat Vol 3 No 1 (2023): Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 20
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v3i1.1229

Abstract

Teknologi terus berkembang pesat dan memberikan manfaat besar bagi berbagai aspek kehidupan manusia. Namun, masih ada beberapa aspek yang saat ini masih mengandalkan metode manual, salah satunya adalah sistem presensi. Pada bulan januari, Puskesmas Cikeusal Kidul menggunakan tanda tangan, yang rentan terhadap manipulasi. Namun, pada bulan Februari, Puskesmas Cikeusal Kidul beralih ke teknologi sidik jari. Meskipun ada beberapa masalah, seperti keterlambatan dan aksesibilitas, presensi RFID dikembangkan untuk mengatasi masalah tersebut. Hasil penelitian menunjukkan perbedaan signifikan dalam waktu presensi sebelum dan setelah penggunaan RFID, menunjukkan peningkatan efisiensi yang besar.
Revolutionizing Diabetes Care: Prototype Sepatu Pintar untuk Foot Health Monitoring Supriyatin Supriyatin; Purwono Purwono; Anggit Wirasto
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat Vol 3 No 1 (2023): Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 20
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v3i1.1242

Abstract

Penelitian ini membahas pengembangan sepatu pintar berbasis Internet of Things (IoT) untuk pemantauan tekanan dan suhu pada pasien diabetes. Sepatu pintar ini dilengkapi dengan sensor Force Sensing Resistor (FSR) dan thermistor yang terhubung ke modul mikrokontroler NodeMCU ESP32. Data dari sensor-sensor ini dikirim ke sebuah database melalui koneksi WiFi, memungkinkan pasien untuk memantau tekanan dan suhu kaki mereka secara realtime. Penelitian ini menggabungkan teknologi IoT dengan perawatan kesehatan untuk meningkatkan pemantauan dan perawatan pasien diabetes.
PENINGKATAN KEMAMPUAN TENAGA PENGAJAR ROBOTIK LPK UNIK ROBOT MENGGUNAKAN TEKNOLOGI TEPAT GUNA DAN PEMASARAN Jatmiko Indriyanto; Purwono Purwono; Nandang Hermanto
Jurnal Locus Penelitian dan Pengabdian Vol. 2 No. 10 (2023): jurnal locus penelitian dan pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v2i10.1802

Abstract

This research includes community service which aims to improve the skills of robotics teachers in Purwokerto, Banyumas Regency. UNIK ROBOT, a robotics education institution, has partnered with schools in the area to provide robotics education through extracurricular activities. Interest in robotics from schools and students is very high, because technology and robotics increasingly dominate everyday life. Project-based education methods and action learning are the main focus, with the aim of developing 21st century skills, such as creativity, critical thinking, communication and collaboration. Evaluation of success was carried out through observation methods, oral tests, and questionnaires, which showed a significant increase in robotics and online marketing skills by 90%. It is hoped that this activity can become the basis for further development of robotics education in Purwokerto and its surroundings. The results of the research stated that educational activities for robotics teachers in Purwokerto succeeded in increasing robotics and online marketing skills by 90%. Hopefully in the future there will be robotic material that can be taught again so that learning activities can further develop.
Digital Entrepreneurship Education and Mentoring for PGRI Gumelar High School Students to Enhance Entrepreneurial Skills in International Markets Using Digital Media Purwono Purwono; Khoirun Nisa; Jatmiko Indriyanto; Lutviana; Dimas Febri Kuncoro
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 3 No. 6 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v3i6.212

Abstract

The development of information technology continues to increase and has reached all levels of society, including the younger generation. This generation is present as a cohort with superior personalities and the ability to comprehend knowledge and technology, enabling them to compete locally and globally. Technological advancements also catalyze innovations, fostering creativity in the economic and business fields. SMA PGRI Gumelar is a private school in Gumelar District, Banyumas Regency, which offers various life skill activities such as graphic design, foreign languages, photography, videography, and more. However, the existing activities have not yet yielded works that can be marketed internationally. This service aims to optimize graphic design life skills training for students so that they can produce work that is marketable on overseas platforms, namely Envato. This marketplace has specific standards for works that will be sold; therefore, education and assistance are provided to enhance motivation for digital media-based entrepreneurship in the international market. This beginner community service activity will be conducted from July to October 2023 at SMA PGRI Gumelar. The outcome of this activity will be graphic design work ready to be uploaded to the Envato marketplace. Based on the results of the questionnaire distributed to participants, there was an increase in motivation as a designpreneur, increasing by 35%, Figma skills increasing by 45% and Photoshop skills increasing by 35%. Another output of this project is a graphic design tutorial book with an ISBN number
Pengembangan Keamanan Sistem Rekam Medis Berbasis Blockchain dengan Smart Contract Purwono Purwono; Pramesti Dewi; Safar dwi Kurniawan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 2 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i2.5143

Abstract

Manipulasi data kesehatan memicu keresahan masyarakat dan menurunkan tingkat  kepercayaan terhadap langkah antisipatif yang dilakukan pemerintah Indonesia. Teknologi Blockchain menjadi salah satu solusi untuk mencegah data kesehatan yang berpotensi untuk dimanipulasi. Smart contract adalah protokol yang berjalan di jaringan blockchain. Metode ini mengikat suatu kesepakatan antara beberapa pihak dalam suatu perjanjian. Data kesehatan ini dapat dilindungi dari pihak internal dengan membuat kontrak cerdas antara dokter, pasien, dan pengelola website. Data diagnosis yang dibuat oleh dokter baru adalah valid jika pasien setuju. Administrator hanya dapat mengakses data jika disetujui oleh dokter dan pasien.   Pengujian   keamanan   dilakukan   melalui serangan injeksi SQL. Sistem yang belum menerapkan kontrak pintar dapat dikompromikan melalui uji injeksi muatan, sedangkan sistem yang telah menerapkan kontrak pintar hanya dapat memecahkan kueri login. Pengujian manipulasi data 10 kali setelah login berhasil menunjukkan bahwa data yang telah disimpan tidak dapat diubah karena memerlukan kontrak pintar
Pemanfaatan Teknologi Machine Learning pada Klasifikasi Jenis Hipertensi Berdasarkan Fitur Pribadi Pramesti Dewi; Purwono Purwono; Safar Dwi Kurniawan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 3 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i3.3721

Abstract

Hipertensi tampaknya menjadi faktor utama dalam perkembangan penyakit seperti stroke, gagal jantung, infark miokard, fibrilasi atrium, penyakit arteri perifer, dan diseksi aorta. Prediksi dini jenis hipertensi dari riwayat kesehatan merupakan hal yang penting agar kita dapat mengetahui penyakit yang disebabkan olehnya. Prediksi ini dapat diperoleh dengan memanfaatkan teknologi machine learning untuk menemukan pengetahuan baru dari data dasar sehingga menemukan pola yang valid, berguna, dan mudah dipelajari. Model klasifikasi random forest diusulkan dalam penelitian ini. Kontribusi kami dalam penelitian ini adalah membuat model klasifikasi random forest dengan teknik baru yaitu perbaikan data untuk melakukan tuning hyperparameter. Kami melihat peneliti sebelumnya hanya mengejar nilai akurasi yang tinggi semata. Berbeda dengan penelitian sebelumnya, kami menggunakan teknik optimasi hyperparameter gridsearch cv pada model klasifikasi random forest. Parameter terbaik untuk model random forest yaitu max_depth = 80, max_features = 3, min_samples_leaf = 3, min_samples_split = 8, dan n_estimators = 1000 yang direkomendasikan dari teknik gridsearch cv. Akurasi sebelum optimasi adalah 72,3%, sedangkan setelah optimasi adalah 86,1%. Hal ini menunjukkan peningkatan akurasi sebesar 13,7% setelah menerapkan metode grid search cv pada klasifikasi jenis hipertensi menggunakan model random forest
Co-Authors Agung Budi Prasetio Agung Pangestu Ahmad Toha Alfian Ma’arif Amanah Wulandari Anggit Wirasto Anggit Wirasto Ariefah Khairina Islahati Arif Setia Sandi A. Asmat Burhan Asmat Burhan Bala Putra Dewa Bala Putra Dewa Bala Putra Dewa Bala Putra Dewa Barlian Kristanto Burhanuddin bin Mohd Aboobaider Deny Nugroho Triwibowo Dewi Astria Faroek Dimas Febri Kuncoro Dimas Herjuno Eko Ariyanto Elsa Wulandari, Annastasya Nabila Endang Setyawati Fakhri Zahi Mumtaza Hadi Jayusman Hesti Ayu Wahyuni Iin Dyah Indrawati Iis Setiawan Mangkunegara Iis Setyawan Mangku Negara Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Imam Riadi Imam Riadi Jatmiko Indriyanto Jihad Rahmawan Khoirun Nisa Khoirun Nisa Khoirun Nisa Lutviana Lutviana Lutviana Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Marlia Hafny Afrilies Maya Ruhtiani Muchammad Naseer Muhammad Baballe Ahmad Muhammad Haikal Satria Muntiari, Novita Ranti Musafa Widagdo Nandang Hermanto Pramesti Dewi Qazi Mazhar ul Haq Rahmadhani, Berlina Riska Suryani Riyanarto Sarno Rosyid Ridlo Al-Hakim Rubaeah, Siti Rusydi Umar Safa Kiana Safar Dwi Kurniawan Sandi Najib Iskandar Sharkawy , Abdel-Nasser Slamet Slamet Sony Kartika Wibisono Sony Kartika Wibisono Sony Kartika Wibisono Sony Kartika Wibisono Supriyatin Supriyatin Tohari Ahmad Tusaria Tri Wahyu Ningrum Wahyu Rahmaniar Windu Gata Yanuar Zulardiansyah Arief Yudhistira , Aimar Yuris Tri Naili Yuris Tri Naili Yuslena Sari, Yuslena Yusuf Fadlila Rahman