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PENGARUH GANGGUAN PANDEMI COVID-19 TERHADAP RISIKO RANTAI PASOK PADA SUBSISTEM PENGOLAHAN KOPI ARABIKA GAYO MENGGUNAKAN MODEL SISTEM DINAMIK DI KABUPATEN BENER MERIAH (STUDI KASUS KOPERASI EKSPORTIR KOPI KOKOWA GAYO) Seilla Desilawati; Indra Indra; Agus Nugroho
Jurnal Agrisep Vol 23, No 1 (2022): Volume 23 Nomor 1 Juni 2022
Publisher : Program Studi Agribisnis, Fakultas Pertanian, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/agrisep.v23i1.26398

Abstract

Kopi menjadi salah satu komoditas yang ikut menyumbang peran bagi pembangunan pertanian dan menjadi produk andalan ekspor di Indonesia. Pada komoditas kopi, rantai pasok kopi Arabika Gayo yang panjang diduga menjadi salah satu penyebab rendahnya pendapatan di tingkat petani. Dengan adanya pandemi Covid-19 ini, eksportir kopi Arabika Gayo mengalami dampak yang signifikan pada usahanya karena penutupan akses ke pasar global yang menyebabkan terjadinya penumpukan barang di ruang penyimpanan seiring dengan berjalannya produktivitas kopi Arabika. Penundaan pengiriman kopi ke negara-negara tujuan juga terhambat akibat pandemi Covid-19 ini. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana pengaruh risiko gangguan rantai pasok kopi arabika gayo saat pandemi Covid 19 terhadap persediaan dan keuntungan koperasi eksportir kopi Kokowa Gayo di Kabupaten Bener Meriah. Metode analisis dalam penelitian ini dilakukan dengan menggunakan sistem dinamik. Berdasarkan hasil penelitian didapatkan bahwa persediaan kopi arabika di koperasi Kokowa Gayo terus meningkat akibat pandemi Covid-19 yang menyebabkan koperasi ini tidak bisa mengekspor biji kopi yang telah diolah. Keterbatasan perdagangan ekspor kopi ini juga menimbulkan masalah yang lain seperti terganggunya perolehan keuntungan yang didapat koperasi. Dimana pada masa normal atau sebelum pandemi Covid-19 koperasi dapat memperoleh keuntungan mencapai Rp. 1.000.000.000/pengiriman. Namun, pada masa pandemi Covid-19 keuntungan yang didapatkan koperasi menurun bahkan sampai mengalami kerugian.
Pengembangan Bahan Ajar Desain Pembelajaran PAI Berbasis Kurikulum 2013 Ismatul Maula; indra indra
Jurnal Penelitian Pendidikan Vol 11 No 1 (2019): Jurnal Penelitian Pendidikan
Publisher : LPPM Press

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Abstract

Kajian penelitian ini bertujuan untuk mengetahui kelayakan dari pengembangan bahan ajardesain pembelajaran (berbasis kurikulum 2013) adapun permasalahan dari penelitian ini adalahdikarenakan belum adanya bahan ajar yang menjelaskan tentang desain pembelajaran PAI yang berbasis2013. Penelitian ini merupakan penelitian diskriptif-kualitatif dengan menggunakan teori skala likert.Metode untuk memperoleh data dilakukan melalui angket yang diberikan kepada 2 orang ahli materi, 2orang ahli media, dan 26 mahasiswa. Temuan penelitian adalah untuk ahli materi 82,23%, ahli media76,78% dan uji lapangan yang dilakukan kepada mahasiswa 73.94%. Berdasarkan kriteria pada tabelkelayakan menurut Arikunto, total skor tersebut termasuk dalam kategori layak, dan bahan ajar ini dapatdikategorikan layak dipergunakan dalam perkuliahan.
Implementasi Jaringan Syaraf Tiruan Backpropagation untuk Peramalan Penjualan pada PT. Central Pacific Development Indra Hertanto; Riskiana Wulan; Lutfi Rizaldi Mahida; Dzaky Rakha Meilano; Prayoga Ajitya Setiawan; Indra Indra
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3589

Abstract

Central Pacific Development possesses an abundance of sales transaction data, yet currently lacks a system to optimally leverage this data for strategic planning. This research aims to implement an Artificial Neural Network (ANN) using the Backpropagation method to predict product sales, based on historical data from January 2022 to November 2024. The system involves stages such as data normalization, splitting the dataset into training and testing sets, and evaluating model performance using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) metrics. A Multi-Layer Perceptron (MLP) model with a 12-15-1 configuration yielded the best results, achieving a training MSE of 0.000999, a testing MSE of 0.062680, a MAPE of 22.24%, and an accuracy of 77.75%. The developed system can assist the company in designing data-driven production and marketing strategies, while also opening opportunities for further development through the integration of big data technologies or hybrid methods to improve prediction accuracy.
THE ROLE OF THE PAWANG UTEN IN DISASTER MANAGEMENT (PERSPECTIVES ON ADAT GLE MAINTENANCE IN SERBAJADI SUBDISTRICT, ACEH TIMUR REGENCY) Eva Andriani; Indra Indra; Nazli Ismail
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 2 No. 9 (2023): AUGUST
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v2i9.223

Abstract

This study aims to determine the effectiveness of the role of pawang uten in disaster management which includes exogenous latent variables, namely the adat gle maintenance while the endogenous latent variable is disaster management. To analyze the relationship between these variables, this study uses an analytical tool namely SmartPLS (Partial Least Square). Based on the results of the analysis and discussion of the research, it can be concluded that the role of pawang uten in adat gle maintenance it is in disaster management is yet to be seen. This is because the adat gle maintenance in Serbajadi Subdistrict only considered symbolic by the community when it will enter or manage the forest and internal responsibility for adat gle maintenance absolutely given to the pawang uten.
ADACTIVE STRATEGY OF PANGLIMA LAOT INSTITUTION IN SUSTAINABLE COASTAL AREA MANAGEMENT IN THE PROVINCE OF ACEH-INDONESIA Eva Wardah; Agussabti; Indra Indra; Yanis Rinaldi
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 1 (2025): January
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i1.2358

Abstract

The Panglima Laot institution plays a pivotal role in the sustainable management of Aceh's coastal regions by leveraging traditional practices and local wisdom. However, increasing pressures from climate change, economic modernization, and declining fish stocks necessitate adaptive strategies to ensure its continued effectiveness. This study investigates the adaptive strategies employed by Panglima Laot, focusing on integrating traditional governance with modern innovations to address environmental and social challenges. Utilizing a SWOT analysis framework, the study identifies the institution's strengths, weaknesses, opportunities, and threats. Key findings highlight the need for enhancing institutional capacity, documenting traditional knowledge, and fostering collaborations with governmental and international organizations. By leveraging its cultural significance and community trust, Panglima Laot can integrate modern technologies, such as GIS, to improve resource management while maintaining traditional values. These strategies are critical to strengthening the institution’s role in promoting equitable and sustainable coastal resource management. The study concludes with actionable recommendations for policy enhancement, community engagement, and capacity building to support Panglima Laot in navigating the evolving complexities of coastal management in Aceh.
Co-Authors ABDURRAHMAN WAHID Ade Yeni A Ade Yeni Aprilia agus Nugroho Agussabti Agussabti Agussabti Ahmad Humam Hamid Aisyah Oktaviana Alvino Dwi Putra Anna Yuliana, Anna Arif Al Hakim Bob Douma Dea Ayu Puspita Devita Septiani Dewi Rahmalia Ningsih Dzaky Rakha Meilano Edi Farlan ELLY SUSANTI Ema Alemina Erlinda Erlinda Erwin Martianis Eva Andriani Eva Wardah Firman Hadi Fitria Wardhani Hafifah, Ifa Ikhwansyah Isranuri Indah Mayasari Indra Hertanto Ira Rahmiyani Irham Iskandar Ismatul Maula Lanang Diayudha Lilis Tuslinah Litna Ginting Lusi Nurdianti, Lusi Lutfi Rizaldi Mahida Melin Andilla Menti Mentari Muhammad Syaifullah Muhammad Yuzan Wardhana Muharam Priatna Nailan Nikmah Siregar Nazli Ismail Prayoga Ajitya Setiawan Rahmaddiansyah Rahmaddiansyah Rina Sriwati Riskiana Wulan Risna Nurul Insani Rivan Rinaldi Rizky Fajarudin Romano Romano Ropida Batubara Saeful Amin Safrida Safrida Safrida Safrida Salsabila Salsabila Sari Darnita Seilla Desilawati Silmiati Hamzah Siti Arafah E.N Sulaiman Ali Syamsul Arifin T. Miftakhul Rizki Ulfa Hansri Ar Rasyid Yadi Juftri Yanis Rinaldi Zulfahrizal Zulfahrizal Zulkarnain Zulkarnain