Claim Missing Document
Check
Articles

Penguatan Rantai Pasok pada Sektor Peternakan dan Pertanian Desa Kalijaya Kabupaten Ciamis Suci Putri Lestari; Laras Pratiwi; Putri Dian Wulansari; Titin Widyastuti; Agus Supriatman; Anri Kurniawan; Kana Kanari
Journal of Empowerment Community Vol 8 No 1 (2026): Maret 2026
Publisher : Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/jec.v8i1.2690

Abstract

This community service activity was carried out in Kalijaya Village, Banjaranyar District, Ciamis Regency, which has great potential in the livestock and agricultural sectors, particularly dairy goats and robusta coffee. The partners' main challenges include limited production technology, business management, and supply chain. This program aims to implement sustainable production management through the use of appropriate technologies such as energy-efficient solar panel-based fermenters for fermented feed production and greenhouse dryers for drying coffee beans. In addition, supply chain strengthening is carried out through production management training. This program supports the achievement of SDGs 2 (Zero Hunger) and SDGs 7 (Affordable and Clean Energy), while strengthening the village's economic competitiveness in a sustainable manner.
Sistem Pendukung Keputusan Dalam Penentuan Kualitas Manggis Menggunakan Analytic Hierarchy Process (AHP) Aso Sudiarjo; Missi Hikmatyar; Agus Supriatman; Yoshua Surya Putra; Abdullah Jourdi
Informatics and Digital Expert (INDEX) Vol. 8 No. 1 (2026): INDEX, Mei 2026
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v8i1.2533

Abstract

Buah manggis merupakan salah satu komoditas unggulan Indonesia yang memiliki nilai ekspor tinggi. Provinsi sentra manggis memiliki kekayaan agroekonomi yang melimpah, di mana sektor hortikultura ini memainkan peran vital dalam perekonomian daerah dan kesejahteraan petani. Namun, proses penentuan kualitas manggis sering kali menghadapi berbagai tantangan, seperti inkonsistensi penilaian manual, kriteria yang subjektif, dan standar mutu yang ketat dari negara tujuan ekspor. Oleh karena itu, pemilihan kualitas buah manggis menjadi krusial untuk memastikan keberlanjutan pasar ekspor serta keuntungan ekonomi yang optimal. Penelitian ini bertujuan untuk menerapkan Metode Analytical Hierarchy Process (AHP) dalam sebuah sistem pendukung keputusan untuk seleksi kualitas buah manggis di Indonesia. Melalui identifikasi dan evaluasi berbagai kriteria relevan sepert berat buah, diameter buah, Warna Kulit, jumlah Kelopak, dan Ketiadaan Getah Kuning, penelitian ini diharapkan dapat memberikan rekomendasi grading yang tepat, objektif, dan terstandarisasi bagi para petani maupun pelaku industri. Hasil pengujian penerapan Metode AHP dalam menentukan kualitas sebuah sampel manggis dengan kriteria input: Berat, Diameter buah, warna, tekstur kulit, jumlah kelopak, memperoleh hasil perhitungan nilai preferensi sebesar 0.48. Nilai ini berada di atas ambang batas standar mutu ekspor, yaitu 0.44, dengan kesimpulan bahwa buah manggis tersebut dapat diterima dan diklasifikasikan sebagai mutu 1/ super 1 (Kualitas Ekspor).Berdasarkan hasil penelitian, dapat disimpulkan bahwa penerapan metode Analytical Hierarchy Process (AHP) untuk seleksi kualitas buah manggis terbukti efektif dalam membantu pengambilan keputusan yang kompleks dengan melibatkan berbagai kriteria. Sistem ini mampu menyediakan penilaian yang objektif dan konsisten, sehingga dapat meningkatkan efisiensi proses sortasi dan nilai jual produk di tingkat petani
Pemanfaatan Aplikasi Kecerdasan Artifisial Untuk Kegiatan Pembelajaran Di Pesantren Ma’rifa Cigalontang Kabupaten Tasikmalaya Evi Dewi Sri Mulyani; Ariel Ivan Al-Hakim; Fauzan M. Iqbal; Teguh Ikhlas Ramadhan; Agus Supriatman; Dede Syahrul Anwar; Rudi Hartono; Missi Hikmatyar; Cepi Rahmat Hidayat; Aso Sudiarjo; Ruuhwan; Shinta Siti Sundari; Teuku Mufizar; Widia Nurindriyanti
JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat Vol. 2 No. 2 (2026): JPPkM:Juli
Publisher : Yayasan Pemimpin Inovasi Science

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

Abstract

The rapid advancement of Large Language Model (LLM)-based Artificial Intelligence (AI) has created new opportunities to improve the quality and efficiency of teaching and learning processes. However, the adoption of this technology remains constrained by limited AI literacy and prompt engineering skills among educators, particularly in Islamic boarding schools (pesantren). This community service program aimed to enhance teachers' knowledge and skills in utilizing LLM applications through training on prompt engineering techniques based on the C.R.E.A.T.E. and S.T.A.R. frameworks. The program was conducted at Ma'rifa Islamic Boarding School in Cigalontang, Tasikmalaya Regency, involving 32 participants. The implementation methods included lectures, AI application demonstrations, hands-on prompt development practice, and evaluations through pre-tests, post-tests, practical assessments, and participant satisfaction questionnaires. The evaluation results showed that the participants' average score increased from 58.4 in the pre-test to 85.7 in the post-test, representing an improvement of 46.7%. In the practical assessment, 82% of participants successfully developed prompts using the C.R.E.A.T.E. and S.T.A.R. techniques with good to excellent performance. Furthermore, the participant satisfaction survey yielded an average score of 4.58 out of 5, indicating that the training materials were considered relevant, easy to understand, and beneficial for supporting teaching and learning activities. Overall, the program successfully improved participants' AI literacy, understanding of LLM technology, and prompt engineering competencies. Therefore, similar training programs should be implemented continuously to support digital transformation and foster innovation in teaching and learning within Islamic boarding school environments.