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All Journal JURNAL SISTEM INFORMASI BISNIS Teknika Pro Bisnis JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Teknologi Informasi dan Multimedia JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal E-Komtek IJIIS: International Journal of Informatics and Information Systems Madani : Indonesian Journal of Civil Society Journal of Computer Networks, Architecture and High Performance Computing ABSYARA: Jurnal Pengabdian Pada Masyarakat Nusantara Hasana Journal Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Practical Computer Science (JPCS) Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal Rekayasa Informasi Gotong Royong
Ranggi Praharaningtyas Aji
Universitas Amikom Purwokerto
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PENGUATAN EKOSISTEM WISATA DAN INDUSTRI KOPI DESA MELUNG MELALUI PENGELOLAAN DAN PROMOSI BERBASIS DIGITAL Ranggi Praharaningtyas Aji; Dwi Krisbiantoro; Rida Purnama Sari; Hasirun, Hasirun; Rian Hidayat; Ibnu Romadhon
Nusantara Hasana Journal Vol. 5 No. 4 (2025): Nusantara Hasana Journal, September 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i4.1695

Abstract

This community service program (PMM scheme) aimed to empower the BUMDes and Pokdarwis of Melung Village through an integrated digital intervention to address coffee management and tourism marketing issues. Utilizing participatory methods, including Focus Group Discussions (FGD), student-led mentoring (KKN), and the provision of appropriate technology (TTG), the program successfully developed the web application `simelung.org` for asset and financial recording, established standardized coffee processing SOPs, created structured tourism packages, and installed 13 directional signs and 1 mini map. The intervention strengthened institutional governance, improved coffee quality consistency, professionalized destination branding, and built local human resource capacity. In conclusion, synergistic academia-community collaboration supported by a digital approach proved effective in creating a replicable, integrated empowerment model to drive sustainable village economy in line with the SDGs.
SOSIALISASI ANCAMAN DAN MANFAAT PENGGUNAAN MEDIA DIGITAL UNTUK SISWA MENENGAH ATAS SEDERAJAT DITINJAU DARI IT ETHIC, REGULATION AND CYBER LAW Ranggi Praharaningtyas Aji; Albana, Ilham
Nusantara Hasana Journal Vol. 3 No. 10 (2024): Nusantara Hasana Journal, March 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i10.1040

Abstract

Using the concept of an independent learning curriculum for students at Miftahul Huda Rawalo Vocational School to express themselves and create digitally. Therefore, the digital work of Miftahul Huda Rawalo Vocational School students needs to be ensured in accordance with ethical and legal principles. It is important to instill knowledge about IT ethics, digital world rules and Indonesian cyber law in these students. With this problem, it is necessary to provide direction and explanation regarding applicable ethics and law, both formal and digital ethics and law. The AMM team will explain matters related to IT ethics and cyber law in attractive and digitalized packaging so that it is easy fors participants to understand and understand. The result of this activity is that students know the issues regulated by IT ethics related to the ITE Law and regulations related to content and digital media created by students. Know the limits of what is and is not allowed in digital media. And awareness of the importance of maintaining digital content created by students in the field of ethics and IT regulations.
Performance Comparison of CART And KNN Algorithms for Analyzing Early Predictions of Mental Health Anggraeni, Eling Sekar; Fitriya Maharani, Lulu Amnah; Desi Riyanti; Aji, Ranggi Praharaningtyas; Pungkas Subarkah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4232

Abstract

Currently, mental health is an unresolved mental health problem both at the national and international levels. Mental health disorders are conditions where a person has difficulty in adjusting to the conditions around them. Mental Health is an important aspect of overall health. Efforts to maintain and improve it can help a person achieve better well-being in everyday life.  This research aims to conduct Early Prediction Analysis related to mental health problems experienced by students by measuring the accuracy level of the analysis. This research was conducted using the CART (Classification and Regression Trees) and KNN (K-Nearest Neighbor) algorithms with a set of Mental Health Datasets consisting of 11 attributes and 101 data.  The data is processed using the Weka Application and the accuracy results of each algorithm are obtained, amounting to 94.0594% for the CART Algorithm and 91.0891% for the KNN Algorithm. From this achievement, it can be concluded that the performance of the CART and KNN algorithms falls into the Excellent Classification category. Judging from the accuracy obtained, the CART algorithm has a higher accuracy value than the KNN algorithm, so the CART algorithm has a high performance for analyzing early prediction of mental health of students who do not take steps in seeking mental health support.
Pelatihan Digital Marketing Untuk Meningkatkan Penjualan Produk Bumdes Berkah Sentosa Di Desa Pangebatan Aji, Ranggi Praharaningtyas; Khairunnisa, Salsabila Iftinan; Mahardhika, Gilang Satria; Albana, Ilham
Gotong Royong Vol. 2 No. 3 (2025)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/gr.v2i3.246

Abstract

BUMDes Berkah Sentosa di Desa Pangebatan menghadapi over stok produk turunan singkong, pisang, perikanan, dan pertanian akibat pemasaran tradisional yang terbatas, sehingga mengganggu cash flow dan keberlanjutan usaha. Pengabdian ini bertujuan meningkatkan pengetahuan serta keterampilan pemasaran digital, memperluas jangkauan pasar, dan mereduksi over stok melalui pelatihan bagi 23 kelompok produsen. Metode mengadopsi Community-Based Participatory Action Research (CBPAR) dengan siklus plan-act-observe-reflect, melibatkan kuliah interaktif, pelatihan langsung, dan simulasi kampanye; data diperoleh via pre-post test (N=45), survei kepuasan, observasi, serta monitoring laporan BUMDes, dianalisis dengan paired t-test, analisis tematik NVivo, dan Kirkpatrick's Four-Level Model. Temuan utama menunjukkan peningkatan pengetahuan 42,7% (t(44)=14,67, p<0,001), kepuasan peserta 92,9%, adopsi digital oleh 86,7% kelompok, serta reduksi over stok 28,4% disertai kenaikan penjualan digital 35,2% dalam tiga bulan pasca-program. Program berhasil mengoptimalkan strategi pemasaran, memperkuat daya saing UMKM pedesaan, dan mencapai indeks Kirkpatrick 87,5%, dengan saran mentoring berkelanjutan serta replikasi modul e-commerce nasional.
Kewirausahaan Berbasis Mahasiswa (KBM) bidang Ekonomi Kreatif Tahyudin, Imam; Dianingrum, Melia; Hermawan, Hellik; Aji, Ranggi Praharaningtyas; Wahyudin, Widya Cholid
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 9, No 1 (2026): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v9i1.9733

Abstract

Pengembangan usaha kampus melalui program kewirausahaan berbasis Mahasiswa sangat bermanfaat dan penting untuk diterapkan. Pengembangan usaha kampus dalam bidang ekonomi kreatif urgen untuk memberikan pengalaman belajar yang baru bagi mahasiswa dalam merintis usaha, dan meningkatkan citra kampus di mata masyarakat. Tujuan dari kegiatan ini adalah untuk melatih mengembangkan usaha bidang ekonomi kreatif dengan memberdayakan mahasiswa. Untuk mewujudkan usaha tersebut dilakukan melalui beberapa langkah diantaranya tahap persiapan yaitu seleksi peserta KBM, Pembekalan usaha KBM ekonomi kreatif, proses pendampingan. selanjutnya tahap pelaksanaan kegiatan, dan tahap evaluasi.Hasil kegiatan menunjukkan bahwa 30 mahasiswa peserta memperoleh pengetahuan dan keterampilan kewirausahaan yang mencakup penyusunan business plan, manajemen keuangan usaha, strategi pemasaran, dan pengelolaan usaha di berbagai bidang ekonomi kreatif (fashion, desain grafis, coffee shop, kuliner). Peserta mampu mengaplikasikan pengetahuan tersebut dengan membentuk 11 kelompok rintisan usaha yang telah beroperasi dan melaksanakan pelaporan berkala mencakup omset serta kendala operasional. Program ini juga memberikan pengakuan akademik berupa konversi nilai maksimal 20 SKS, dipublikasikan pada media massa Harian Radar Banyumas, dan didokumentasikan dalam konten video di kanal YouTube.
Klasifikasi Kualitas Air Menggunakan CNN Berbasis Warna Citra Digital Wibowo, Ari Tri; Aji, Ranggi Praharaningtyas
TEKNIKA Vol. 20 No. 1 (2026): Teknika Januari 2026
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18530664

Abstract

Air merupakan kebutuhan utama bagi kehidupan manusia, sehingga kualitasnya harus dijaga agar tetap aman digunakan. Namun, meningkatnya pencemaran lingkungan menyebabkan air menjadi tidak layak konsumsi dan berpotensi menimbulkan penyakit. Diperlukan upaya untuk memantau kualitas air secara efisien dan akurat, salah satunya melalui pemanfaatan teknologi pengolahan citra digital. Penelitian ini berfokus pada penerapan algoritma Convolutional Neural Network untuk mengklasifikasikan kondisi air berdasarkan warna pada citra digital. Dataset yang digunakan berjumlah 364 gambar yang diperoleh dari situs Kaggle dan Unsplash, terbagi dalam dua kategori, yaitu air bersih dan air tercemar. Proses penelitian meliputi pra-pemrosesan data melalui normalisasi dan augmentasi citra, pelatihan model dengan optimizer Adam selama 15 epoch, serta evaluasi menggunakan metrik akurasi, precision, recall, dan f1-score. Hasil pengujian menunjukkan akurasi sebesar 92,63%, precision 92,67%, recall 92,59%, dan f1-score 92,62%. Nilai tersebut menunjukkan bahwa model CNN mampu mengenali pola warna dan tekstur air dengan baik. Penerapan metode CNN terbukti efektif dalam membantu proses klasifikasi kualitas air berbasis citra digital dan dapat menjadi dasar untuk penelitian lebih lanjut di bidang pemantauan lingkungan.
Co-Authors Abdul Azis Abdul Azis Akmal, Rafii Nur Albana, Ilham Anggraeni, Eling Sekar Anggraini, Yulia Aprilia, Kharisma Argiyan Dwi Pritama Ari Waluyo Ari Waluyo Aulia Difa, El Syafangatun Aulia Hamdi Banu Dwi Putranto Banu Dwi Putranto Choerunnisa, Alfina Darso Darso Desi Riyanti Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dwi Krisbiantoro Fariz Nur Fikri Zaki Fiby Nur Afiana Fiby Nur Afiana Fitriya Maharani, Lulu Amnah Hanun Karomatunnisa Hasirun, Hasirun Hellik Hermawan Hidayah, Debby Ummul Ibnu Romadhon Ika Ayu Pratiwi Ika Romadoni Yunita ilham albana Imam Tahyudin Ito Setiawan Khairunnisa, Salsabila Iftinan Luzi Dwi Oktaviana Maghfira, Rahajeng Sasi MAHARDHIKA, GILANG SATRIA Maruf Maftukhin Melia Dianingrum Muhamad Awiet Wiedanto Prasetyo Mustofiyah, Widiyana Nur Azizah, Resti Pritama, Argiyan Dwi Pungkas Subarkah Putranto, Banu Dwi Putri Awaliatuz Zahra Resti Nur Azizah Retno Waluyo Rian Hidayat Rida Purnama Sari Riska Praise Riska Praise Rizki, Sofi Alfiona Rizky Bangkit Bachtiar Sarmini - Sarmini Sarmini Sarmini Toni Anwar Trianita, Isni Vidia Alma Cyrilla Wahyu Latifatun Wahyuningsih, Melisa Waluyo, Retno Wati, Eka Setia Wibowo, Ari Tri Widya Cholid Wahyudin Yuliawan Adi Wibowo Zanuar Rifai