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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Informatika dan Teknik Elektro Terapan JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal AKP Metode : Jurnal Teknik Industri Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan JSFK (Jurnal Sains Farmasi & Klinis) JUPE : Jurnal Pendidikan Mandala Psychology, Evaluation, and Technology in Educational Research Jurnal Riset Pendidikan Kimia (JRPK) Amwaluna Jurnal Ekonomi dan Keuangan Syariah Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Abdi Masyarakat Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Inovasi Pembelajaran Kimia (Journal Of Innovation in Chemistry Education) Jurnal Inovasi Pendidikan MH Thamrin Journal of Electrical Engineering and Computer (JEECOM) Jurnal Evaluasi dan Pembelajaran J.Abdimas: Community Health Jurnal Administrasi Bisnis (J-Adbis) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Kajian Pembelajaran dan Keilmuan Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Pijar MIPA Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Tata Rias (JTR) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi JIFTECH: Journal Of Islamic Financial Technology Journal of Economics and Social Sciences Eduvest - Journal of Universal Studies International Education Trend Issues Applied Quantitative Analysis (AQA) Innovative: Journal Of Social Science Research Jurnal Administrasi Pendidikan Indonesia ILTEK : Jurnal Teknologi SAINTEK The Indonesian Journal of Computer Science Jurnal Tata Rias (JTR) Journal of Education and Computer Applications Journal of Computer Science Advancements
Achmad Ridwan, Achmad
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Pemberdayaan PKK Desa Lebak melalui Aplikasi WoTaS untuk Mewujudkan Green Economy Saputro, Yayan Adi; Wibowo, DS Drajad; Hamidaturrohmah, Hamidaturrohmah; Ridwan, Achmad; Azizah, Noor; Putri, Meilia Khasanah
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 5, No 1: February 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ljpmt.v5i1.35299

Abstract

The development of a green economy in rural areas requires active community participation, particularly from women’s groups, supported by digital transformation and environmentally friendly technology. However, the Women’s Welfare Movement Group (PKK) of Lebak Village, Jepara Regency, faces several challenges, including reliance on conventional agricultural practices, low digital literacy, and the absence of online media for promoting local agricultural products. Therefore, this community service program aimed to empower PKK members through the application of aquaponic technology and the utilization of the Wonderful Taman Sari (WoTaS) digital application to enhance productivity and support sustainable economic practices. The program employed a participatory–educative approach implemented in five stages: socialization, aquaponic technology training, WoTaS application training, intensive mentoring, and evaluation. The results demonstrated a substantial improvement in participants’ knowledge and skills, with an average achievement rate of 91.9%. All participants (100%) were able to operate a simple aquaponic system, while 80% successfully used the WoTaS application independently to promote local products. In conclusion, this program effectively increased community productivity and digital literacy while strengthening the role of rural women in supporting a sustainable green economy.
AI-Literate: Sosialisasi dan Peningkatan Berpikir Kritis Terhadap AI Di Era Digital Asswan Cahyadi, Wendy; Muharam, Deni; Gina, Abdul; Ridwan, Achmad; Adhi Saputra, Alfian; Mulya Adhi Pradana, Fajar
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2026): Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/abdilaksana.v7i1.57967

Abstract

Perkembangan kecerdasan buatan atau Artificial Intelligence (AI) telah membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk pendidikan, pekerjaan, dan interaksi sosial di era digital. Namun, pesatnya adopsi teknologi AI belum sepenuhnya diimbangi dengan tingkat literasi dan kemampuan berpikir kritis masyarakat dalam memahami cara kerja, potensi, serta risiko penggunaan AI secara bertanggung jawab. Program Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan literasi AI (AI-literacy) dan kemampuan berpikir kritis masyarakat terhadap pemanfaatan AI melalui kegiatan sosialisasi dan edukasi terstruktur. Kegiatan PKM dilaksanakan dengan pendekatan partisipatif dan edukatif, yang mencakup penyampaian materi konseptual tentang AI, diskusi kritis mengenai implikasi etis dan sosial AI, serta simulasi penggunaan aplikasi AI dalam kehidupan sehari-hari.
Transformasi Kognitif Generasi Z Melalui Program AI-Literate: Strategi Penguatan Nalar Kritis Di Era Disrupsi Algoritma Asswan Cahyadi, Wendy; Muharam, Deni; Gina, Abdul; Ridwan, Achmad; Adhi Saputra, Alfian
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2026): Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/abdilaksana.v7i1.58157

Abstract

Disrupsi teknologi Artificial Intelligence (AI) telah menciptakan pergeseran fundamental dalam pola kognitif generasi Z, yang sering kali terjebak dalam penggunaan alat generatif tanpa pemahaman kritis terhadap validitas data. Program ini dirancang untuk mentransformasi paradigma siswa dari konsumen teknologi pasif menjadi pengguna yang analitis dan etis. Metode pelaksanaan menggunakan pendekatan Participatory Action Research (PAR) yang mengintegrasikan sosialisasi teoretis, demonstrasi teknik prompt engineering, dan simulasi deteksi bias algoritma. Pelaksanaan kegiatan dilakukan pada 27 Oktober 2025 dengan melibatkan siswa kelas XII sebagai subjek utama. Hasil kegiatan menunjukkan peningkatan kemampuan analisis kritis peserta sebesar 82%, di mana siswa mampu mengidentifikasi halusinasi informasi pada AI dan menerapkan prinsip verifikasi data mandiri. Dampak jangka panjang dari kegiatan ini adalah penguatan resiliensi kognitif siswa dalam menghadapi tantangan era digital, sekaligus membekali mereka dengan integritas akademik dalam pemanfaatan teknologi kecerdasan buatan.
ANALISIS BIAYA PADA PASIEN GANGGUAN HORMON TIROID DI RUMAH SAKIT PUSAT ANGKATAN LAUT DR. RAMELAN SURABAYA Nabila, Muthma'innatun; Nita, Yunita; Libriansyah; Lestiono; Ridwan, Achmad
Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Vol 11 No 1 (2026): Jurnal Ilmiah Ibnu Sina
Publisher : Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36387/jiis.v11i1.2854

Abstract

Thyroid hormone disorders, such as hyperthyroidism and hypothyroidism, are common endocrine diseases that impose a considerable economic burden. This study aimed to analyze the components of treatment costs among outpatients with thyroid hormone disorders at RSPAL Dr. Ramelan Surabaya and to examine the relationship between patient characteristics and total treatment costs. A cross-sectional design was employed from both patient and hospital perspectives, involving 86 outpatients during the period of May to July 2025. Data on direct medical costs were obtained from the hospital billing system and out-of-pocket expenses through patient interviews, while direct non-medical and indirect costs were collected through structured interviews. The results showed that most patients were female (69 patients; 80.23%) with a mean age of 42 years, and hyperthyroidism was the most common diagnosis (n=54). The total annual cost reached IDR 1,618,002,478, with an average of IDR 18,813,982 per patient. Direct medical costs represented the largest component, with laboratory examinations accounting for the highest expenditure (an average of IDR 8,245,814 per patient per year). Statistical analysis revealed significant associations between age (p=0.007) and BPJS insurance class (p=0.049) with direct medical costs, employment status (p=0.025) with direct non-medical costs, and both age (p=0.014) and employment status (p=0.000) with indirect costs. In conclusion, the treatment costs of thyroid disorders are predominantly driven by direct medical expenses, with variations influenced by age and insurance class.
Machine Learning and Fuzzy C-Means Clustering for the Identification of Tomato Diseases Saleh, Amir; Ridwan, Achmad; Gibran, M Khalil
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3379

Abstract

Diseases in tomato plants can cause economic losses in the agricultural industry. Identification of tomato plant diseases is important to choosing the right action to control their spread. In this research, we propose an approach to identify tomato plant diseases using a machine learning algorithm and lab colour space-based image segmentation using the fuzzy c-means (FCM) clustering algorithm. The segmentation method aims to separate the infected area, leaf image, and background in the tomato plant image. In the first step, the tomato image is represented in the Lab colour space, which allows for combining information on brightness (L), red-green colour components (a), and yellow-blue colour components (b). Then, the FCM algorithm is applied to segment the image. The segmentation results are then evaluated through an identification process using machine learning techniques such as k-Nearest Neighbors (kNN), Random Forest (RF), Support Vector Machine (SVM), and Naïve Bayes (NB) to measure the level of accuracy. The dataset used in this research is tomato images, which include various plant diseases obtained from the Kaggle dataset. The performance results of the proposed method show that the segmentation approach based on Lab colour space with the FCM clustering algorithm is able to identify infected areas well. The accuracy value of each machine learning method used is kNN of 85.40%, RF of 88.87%, SVM of 80.73%, and NB of 74.60%. The proposed method shows success in accurately identifying types of tomato plant diseases and obtains improvements compared to without using segmentation.
Co-Authors Abdillah, Nur Achmad Ridwan Ade Ima Afifa Himayati Adhi Saputra, Alfian Afriadi, Bambang Agung Prabowo Agung Prihandono Ahmad Arif Ahmad, Nurul Qomariyah Ahmad, Saiful Aman, Syahrial Amir Saleh Andika, Andika Prasetya Andy Wahyu Hermanto, Andy Wahyu Anita Nur Lely, Anita Nur Annisa, Cindy Ermintia Arianda, Yoga Dwi Arif Mudi Priyatno Arlinwibowo, Janu Asswan Cahyadi, Wendy Astika Tafrikul Khafidhoh, Astika Tafrikul Athiy Dina Rosihana Athoillah, Mohamad Anton Awaluddin Tjalla Baehaqi Barkah, Eka Budi Gunawan Cahyani, Septia Dwi Cikita Berlian Hakim Darmiyanti, Waskitarini Delima Sitanggang, Delima Desi, Desi Handayani Diana Laily Fithri Dinar Riftiasari Eko Widodo Fadilah, Astri FAISAL MADANI Fajar Nugraha Febri Dwi Anto, Febri Dwi Fida Maisa Hana Firmansyah, Nunung Agus Ghufrooni, Rifqi Gibran, M Khalil Gina, Abdul Ginting, Riski Titian Hamidaturrohmah, Hamidaturrohmah Hanifiyah, Izzatu Al Heri Pramono Putro, Heri Pramono HS, Christnatalis Hutasoit, Marni Ibnu Salman, Ibnu Iva Sarifah Josua, Dian Pertiwi Jovianto, Andrean Jubaedah, Dedah Jubaedah, Lilis Junirianto, Eko Komarudin Komarudin Kuncoro, Ignasius Dwi Kurniadewi, Fera Lanasari, Rossy Legiran Legiran Lestiono Libriansyah Ludmilla, Rafika Madewi, Astuti Maharjan, Kailie Manday, Dhanny Rukmana Maricar, Hudzaifah Muhammad Mastura, Mastura Merrydian, Siska Miharja, Muhammad Najamuddin Dwi Muadzah, Muadzah Muchlas Suseno Muhammad Najamuddin Dwi Miharja Muharam, Deni Muktiningsi, Muktiningsi Muktiningsih Nurjayadi Mulya Adhi Pradana, Fajar N. Nurjanah Nabila, Muthma'innatun Narulita, Lisa Ningsih, Lidya Nizam, Zain Noor Azizah Nugraheni, Ariyanti Sri Nurcahya, Fikri NURHIDAYATI, SAFITRI Nuridayanti, Nuridayanti Nurwijayanti Octiva, Cut Susan Othman, M.A. Perangin Angin, Despaleri Pratiwi, Cindya Yunita Pribadi, Januar Puspitaningtyas, Dyah Ayu Putri, Meilia Khasanah Raihanah, Dinnah Ramadhan, Fitri Nur Ramadhan, M. Irfan Rini, Indah Mustika Riyadi Riyadi Rizky Maulana, Rizky Rochmad Winarso Rohima , Azizah Aulia Rully Astri Hildayati Sabilla, Zahara Sam Saputra, Vernanda Saputra, Vernanda Sam Saputro, Yayan Adi Satybaldy, Daniyar Setiadi, Sandi Siregar, Saut Dohot Siti Azizah Soma Setiawan Ponco Nugroho Sri Mulyani Sudarmoyo, Dhadhang Tri Sugeng Priyanto, Sugeng Suharjono, Suharjono Suprapto Suprapto Susanti, Diah Ayu Susilo, Ahmad Dwi Taftazani Ghazi Pratama Tengku Riza Zarzani N Togar Timoteus Gultom Trihadi Prasetya, Trihadi Ully Muzakir Ulwi, Krim Utami, Eli Wahyu Budiarto, Balla Wahyu Sri Astutik Wardani Rahayu Wawan Saputra Wella, Wella Aulia Putri Wibowo, DS Drajad Widyadi, Elvan Dwi Wijaya, Dedy Achmat Yennimar, Yennimar Yoga Tri Nugraha Yuli Rahmawati Yunida, Helvy Yunita Nita Yunus Mustaqim, Yunus Yusmaniar Yusmaniar Yuyun dwi astutik, Yuyun dwi