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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Agrikultura ASAS : Jurnal Hukum Ekonomi Syariah Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Planta Tropika Jurnal Hukum Novelty Kultivasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Biosaintifika: Journal of Biology & Biology Education Journal of Tropical Crop Science Jurnal Kesehatan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Journal of Energy and Electrical Engineering (JEEE) International Journal of Robotics and Control Systems Jurnal Ilmu Komputer dan Informatika Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Jurnal Pusat Inovasi Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Journal of Advanced Health Informatics Research SmartComp JURNAL MULTIDISIPLIN ILMU AKADEMIK Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Purwono Purwono, Purwono
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Sosialisasi Kendalikan Jarimu Saring Dulu Baru Sharing Kepada Ibu-Ibu PKK Desa Karangduren Tri Yulianti; Purwono, Purwono; Monica Puspa Dewi
Jurnal Pengabdian Masyarakat - PIMAS Vol. 2 No. 4 (2023): November
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v2i4.1365

Abstract

The rapid development of technology has affected all areas of life, including the field of information. With the internet, disseminating information is easy and fast. In addition, the existence of social media has created a new habit of sharing posts or news to other netizens. However, this ease of information dissemination does not always have a positive impact on society. This is due to the lack of information literacy skills of the community which is the cause of a lot of information that is not clear the truth is spread widely quickly. One effort that can be a solution to this problem is the formation of a new culture, namely S filter first, then share. This culture can be formed by increasing awareness within each individual, and the main step is to hold socialization.
Protection of patient data privacy on IoT devices for healthcare in the era of smart cities: a health law perspective Naili, Yuris Tri; Afrilies, Marlia Hafny; Garunja, Evis; Purwono, Purwono
Jurnal Hukum Novelty Vol. 15 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/novelty.v15i1.a28457

Abstract

Introduction to the Problem: The Internet of Things (IoT) has enabled the use of medical devices in the healthcare sector while presenting challenges in regard to the security and privacy of patients’ medical data. This article conducts a systematic literature review to evaluate the existing regulations related to the security and privacy of the patient’s medical data in real-time data collection through IoT in the context of a Smart City.Purpose/Study Objectives: This study aims to identify gaps in the existing regulations, analyze the implementation of these regulations in practice, and evaluate the impact of IoT technology on the privacy and security rights of patients’ medical information in the healthcare sector.Design/Methodology/Approach: The research employed a systematic literature review, by analyzing relevant articles, legal documents, and regulations. Data were examined from a case study of the implementation of IoT devices for healthcare in Smart Cities as well as interviews with legal experts in the field of healthcare services.Findings: The existence of the Electronic Information and Transaction Law, Personal Data Protection Law, and the latest Health Law provides the initial regulatory foundation for ensuring the security of personal data in the integrated governance of Smart Cities, especially in telemedicine services. Implementing regulations for these laws are necessary to technically accommodate the needs for the security of the patients’ data, ensuring that there is no imbalance between the provisions of the laws that are enacted and their implementation in the community.Paper Type: Research Article
Growth and production of soybean on different inoculant sources of arbuscular mycorrhizal fungi and water saturation periods Sefrila, Marlin; Munif Ghulamahdi; Purwono, Purwono; Maya Melati; Irdika Mansur
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 51 No. 1 (2023): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.251 KB) | DOI: 10.24831/ija.v51i1.46041

Abstract

Production expansion to suboptimal areas such as tidal land through the application of integrated land management technology is an effort to increase soybean production in Indonesia. The study aimed to evaluate the morphophysiological response of soybean treated with arbuscular mycorrhizal fungi (AMF) inoculation and duration of water saturation in tidal land. The study was conducted in April-October 2021 in the plastic house of the Research Field of the Faculty of Agriculture, Sriwijaya University, Palembang. The experiment used a randomized complete block design with two factors and 3 replications. The first factor was the source of AMF propagations (without inoculations, corn inoculants, soybean inoculants, sugarcane inoculants, and soybean-sugarcane inoculants). The second factor was the water saturation periods (0, 2, and 4 months since planting), so there are 15 treatments. The results showed that the interaction between the inoculant sources and the duration of water saturation had no significant effect on all parameters. The inoculant propagated in the media of sugarcane produced the highest effect as compared to other treatments. The water saturation for 2 or 4 months since planting gave soybean plants a better morphophysiological response than conventional cultivation. Keywords: AMF inoculants; morphophysiology; saturated soil culture; soybean
Sosialisasi Perlindungan Anak dari Kekerasan dan Diskriminasi kepada Siswa/Siswi Kelas VI SDN 2 Karangduren Yulianti, Tri; Simanjuntak, Efendi; Afrilies, Marlia Hafny; Jayusman, Hadi; Purwono, Purwono
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2023)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v3i1.1314

Abstract

Artikel ini mengkaji upaya sosialisasi dengan judul “Perlindungan Anak dari Kekerasan dan Diskriminasi” di SD Negeri 2 Karangduren. Fokus utama adalah meningkatkan pemahaman siswa kelas VI terkait isu kekerasan dan diskriminasi. Pendahuluan menggambarkan urgensi perlindungan anak dari dampak jangka panjang kekerasan dan diskriminasi, sementara metode penelitian mencakup tahap persiapan melalui observasi dan wawancara. Pelaksanaan kegiatan mencakup penyampaian materi melalui ceramah dan media visual, seperti powerpoint dan video animasi. Hasilnya menunjukkan partisipasi aktif siswa, namun juga menghadapi hambatan, seperti kurangnya kerjasama sebagian siswa dan kendala teknis. Meskipun demikian, penggunaan teknologi dan interaksi langsung menciptakan suasana pembelajaran yang efektif. Kesimpulan menyoroti pemahaman mendalam siswa terhadap konsep kekerasan dan diskriminasi, ditunjang oleh partisipasi aktif dan pemanfaatan media pembelajaran. Sebagai saran, disarankan kelanjutan kegiatan sosialisasi dan dukungan berkelanjutan dari pihak sekolah. Hasilnya diharapkan membentuk budaya perlindungan anak yang positif di lingkungan Pendidikan.
Sosialisasi “Edukasi Pengenalan Microsoft Word” kepada Anak TPQ Desa Karangduren Putri, Korisa; Jayusman, Hadi; Purwono, Purwono
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2023)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v3i1.1315

Abstract

Pengabdian ini bertujuan memperkenalkan anak-anak Taman Pendidikan Quran (TPQ) pada penggunaan Microsoft Word untuk meningkatkan literasi digital mereka. Metode pelaksanaan melibatkan survei lapangan, penentuan rencana kegiatan, pengajuan proposal, permohonan izin, dan persiapan perlengkapan. Sosialisasi dilakukan melalui metode ceramah dan praktik langsung, dengan tujuan meningkatkan pemahaman anak-anak dalam pengoperasian Microsoft Word. Hasil kegiatan menunjukkan partisipasi aktif dari 15 anak TPQ, meskipun terdapat hambatan jumlah peserta dan minimnya pemahaman awal terhadap teknologi. Melalui pendampingan narasumber, anak-anak TPQ mulai mengenal dan mampu mengoperasikan Microsoft Word. Dampak dari kegiatan ini adalah memberikan pemahaman awal kepada anak-anak TPQ tentang Microsoft Word, mengembangkan literasi digital mereka, dan membuka peluang untuk pengembangan keterampilan kritis dan kreativitas. Harapannya kegiatan ini menjadi landasan untuk peningkatan literasi digital anak-anak TPQ, mendukung integrasi teknologi dalam pembelajaran agama, dan membangun budaya perlindungan anak dari kekerasan dan diskriminasi di masa depan
Pendekatan Transfer Learning dan SMOTE untuk Klasifikasi Kanker Kulit pada Imbalanced Dataset Lutviana, Lutviana; Purwono, Purwono; Imam Ahmad Ashari
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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

Abstract

Skin cancer is one of the most commonly diagnosed cancers worldwide, with the incidence increasing every year. While early detection is a key factor in reducing skin cancer mortality, conventional methods such as biopsy have limitations in terms of cost and invasiveness. This research applies a deep learning based approach for skin cancer classification with Convolutional Neural Networks (CNN) model using transfer learning method. 3 CNN architectures namely MobileNetV2, EfficientNetB0, and DenseNet121 are used to evaluate the performance of the model in detecting skin cancer. One of the main challenges in this research is the imbalanced dataset, which can cause bias in classification. The Synthetic Minority Over-Sampling Technique (SMOTE) was applied to improve the representation of minority classes. The dataset used comes from Kaggle and consists of 2,357 images classified into 9 skin cancer categories. The results show that the transfer learning method combined with SMOTE can significantly improve the accuracy of the model, especially in detecting classes with a smaller number of samples. The evaluation was conducted using accuracy, precision, recall, and f1-score metrics. This research is expected to contribute to the development of an artificial intelligence-based skin cancer detection system that is more accurate, efficient, and can be used as a tool for medical personnel in early diagnosis of skin cancer.
Sistem Informasi Uji Kelayakan Kendaraan Bermotor Berbasis Android (Studi Kasus pada CV. Axlindo Telematika Purwokerto) Setyawati, Endang; Adilla, Axl; Purwono, Purwono; Wibowo, Adhi; Santoso, Muhammad Hery
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2286

Abstract

This study discusses the development of a motor vehicle roadworthiness test information system at CV. Axlindo Telematika Purwokerto, which was previously carried out manually through the registration process, testing, recapitulation, and issuance of KIR certificates. This manual system made the service ineffective and time-consuming. The solution developed was an ECU (Electronic Control Unit)-based Electronic Scanner with NodeMCU RS232 support that can automatically read test data and store it on a server for access via the web or Android applications. The development method used a prototype with REST API integration. The test results showed an increase in effectiveness of 98.9%, efficiency of 86.6%, usefulness of 82.2%, and a difference in data transmission time from 19.2 seconds to 1.39 seconds. The main contribution of this study is the design of hardware and software integration that can improve the accuracy and speed of KIR testing based on an intelligent information system.
Pengembangan Keamanan Sistem Rekam Medis Berbasis Blockchain dengan Smart Contract Purwono, Purwono; Dewi, Pramesti; Kurniawan, Safar dwi
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 Dewi, Pramesti; Purwono, Purwono; Kurniawan, Safar Dwi
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
Scoping Review Kecerdasan Artifisial Dalam Optimasi Dosis dan Pemantauan Keamanan Obat Antidiabetik Meilani, Reina; Purwono, Purwono
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1423

Abstract

The use of artificial intelligence in diabetes therapy for dose optimization and safety monitoring of antidiabetic drugs has increased substantially over the past decade. This scoping review was conducted to map the types of AI models applied, to evaluate their impact on glycemic control, and to analyze their contribution to strengthening pharmacovigilance systems. Approaches including machine learning, deep learning, and reinforcement learning have been implemented to model nonlinear dose–response relationships and to identify plateau effects. Adaptive dosing recommendations have been generated using clinical data and continuous glucose monitoring inputs. Improvements in time in range and reductions in HbA1c levels have been reported in comparison with conventional therapeutic approaches. In drug safety monitoring, detection and analysis of adverse drug reactions have been enhanced through the application of natural language processing, Bayesian modeling, and generative AI. Data extraction from electronic health records and individual case safety reports has been performed more efficiently and systematically. Causality assessment processes have been accelerated, leading to improved efficiency in risk evaluation. AI integration in diabetes management has also been implemented through closed-loop systems, real-time glucose prediction, and identification of patients at risk of inappropriate dosing.Several methodological and regulatory challenges remain, including data bias, limited external validation, and concerns regarding algorithmic transparency. The need for real-world validation and strengthened ethical and governance frameworks has been identified to ensure safe and accountable clinical implementation
Co-Authors Abdul Matin, Hashfi Hawali Adhi Wibowo Adilla, Axl Adji, Diva Permata Adriani, Vita Afrilies, Marlia Hafny Agung Karuniawan Agus Triwidodo AHMAD JUNAEDI Ainurrofiq, Mohammad Naffah Alfian Ma’arif Anas Dinurrohman Susila Anik Sarminingsih, Anik Annastasya Nabila Elsa Wulandari Annida Unnatiq Ulya Ardhi Ristiawan Ardianto, Rian Aric Vranada Arif Setia Sandi A. Arya Rezagama Asmah Kustati Bala Putra Dewa Basil, Noorulden Budi Nugroho Budiyono Budiyono Cahyani, Gesa Nur Cety Wahyu Muslimah Deli, Syekh Zulfadli Arofah Dewa, Bala Putra Dharend Lingga Wibisana Dita Purwinda Anggrella Dyah, Dwi Tristining Eka Maulidiya, Sherly Eka Wardhani S., Eka Endang Setyawati Eso Solihin Fadillah, Arvin Muhammad Fakhri Zahi Mumtaza Fathurrahman, Haris Imam Karim Fathurrohman Husen Fatmawati, Puput Yosi Febria Cahya Indriani Firdausi, Eyda Fitriansyah, Muhammad Ramdhani Frisky, Aufaclav Zatu Kusuma Frutos, Roger Garunja, Evis Hadi Jayusman Hadiyanto Hadiyanto Hamdani, Kiki Kusyaeri Haq, Qazi Mazhar ul Hermanto Hermanto Hermawan Hermawan I Ketut Suada Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irdika Mansur Istiqomah, Hani Janu Saptari, Janu Jayusman, Hadi Josef, Hari Kusnanto Kencanawardhani, Larasati Gumilang Ketty Suketi Khairani Khairani KHOIRUN NISA Kurniawati, Ari Lilis Tri Fariyah Listiyani, Listiyani Lutviana Lutviana, Lutviana Mahfud Afandi, Mahfud Mangkunegara, Iis Setiawan Marhoon, Hamzah M. Marlin Sefrila Maulana, Haris Maya Melati Mei Ahyanti Meilani, Reina Mia Yustika, Mia Mochtar Hadiwidodo Mohamad Rahmad Suhartanto Mohammad Fatkhul Mubin, Mohammad Fatkhul Monica Puspa Dewi Muhammad Amin Bakri Munif Ghulamahdi murwanto, bambang Nadia Nuraniya Kamaluddin Nandang Hermanto Novieta Hardeani Sari Nurfaiz, Agus Nurhalizah, Ria Suci Nurwulan Purnasari Pangesti, Lintang Desy Pascawati, Nur Alvira Prabowo, Zuhda Nur Pramesti Dewi Purwaningsih, Wida Putra, Jessa Syah Putri, Korisa Putri, Lystiana Dewi Rachman Hidayat Rahmaniar, Wahyu Restuono, Joko Rija Sudirja Rumbiwati, Rumbiwati Safa Kiana Safar Dwi Kurniawan Sandra Arifin Aziz Santoso, Dwi Andreas Santoso, Muhammad Hery Saphira, Debby Bella Sarwono Sarwono Satriya Pranata Sefrila, Marlin Septin Puji Astuti Setiyaningrum, Ika Feni Setyo Supratno Sharkawy, Abdel-Nasser Silviani, Wahyu Dian Simanjuntak, Efendi Siti Aisah SITI RACHMAWATI Sudirman Yahya Suryo Wiyono Syaiful Anwar Titik Istirokhatun Tri Baskoro Satoto, Tri Baskoro Tri Yulianti Tri Yulianti, Tri Trigunarso, Sri Indra Tristiyaningrum, Diana Tuny, Nurfitriyana Wahyono, Yoyon Wiharyanto Oktiawan Wiwit Rahajeng Y.Paidjo Y.Paidjo, Y.Paidjo Yuris Tri Naili