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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.