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Digital Transformation In Agriculture: Empowering Aceh's Millennial Farmers For National Food Security Ariansyah, Ricky; Agustina, Agustina; Puspita, Desi; Idris, Iswandi
Jurnal Ekonomi Vol. 13 No. 04 (2024): Edition October -December 2024
Publisher : SEAN Institute

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Abstract

The agricultural sector in Indonesia, particularly in Aceh, is experiencing a transformative shift with the rise of digital technologies. This transformation is driven by the active participation of millennial farmers, who are adopting innovative tools such as IoT-based agricultural management systems, mobile applications, and digital platforms. These technological advancements have the potential to revolutionize farming practices, increase efficiency, and ensure the sustainability of food production systems. The article explores the challenges and opportunities in empowering Aceh's millennial farmers through digital tools, enhancing their capacity to contribute to national food security. By leveraging government support and private sector collaborations, millennial farmers are positioning themselves as key players in improving the resilience and sustainability of Indonesia’s food systems. This study highlights the importance of integrating digital literacy in agricultural education and the role of policy interventions in fostering innovation in the agricultural sector
RANCANG BANGUN MESIN SORTIR BUAH TOMAT BERDASARKAN TINGKAT KEMATANGAN DENGAN SENSOR TCS3200 Puspita, Desi; Gusmaliza, Debi; Aminah, Siti
Jurnal Teknologi Informasi Mura Vol 17 No 1 (2025): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i1.2629

Abstract

The tomato sorting process is currently still done manually by farmers where the results are less accurate and effective. Currently, many still use the manual tomato separation process, so it takes a long time and is not accurate in the process of separating tomatoes. The ripeness of tomatoes can be determined during the harvest process. The level of ripeness of tomatoes is seen from their color, ripe fruit is marked with red. The purpose of the study was to create a prototype for automatic tomato sorting based on the level of ripeness with the TCS3200 sensor. The TCS3200 sensor plays a role in detecting the level of ripeness of tomatoes based on the color of the tomato skin. The system development method used is the Rapid Application Development (RAD) system such as Requirements Planning, RAD Workshop Design, and Implementation. This prototype will work by selecting the color of red, greenish, and yellow tomatoes. This tool is equipped with a motor to separate tomatoes according to the level of ripeness, a TCS3200 color sensor that produces three identification outputs, namely 100% ripe tomatoes, 80% unripe, and 100% half-ripe with an overall identification level of 93.3%.
Workshop Pembuatan Kalkulator Akuntasi Berbasis Android Pada SMK PGRI Kota Pagaralam Puspita, Desi; Arif, Alfis; Rahmadayanti, Fitria
FORDICATE Vol 1 No 1 (2021): November 2021
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.021 KB) | DOI: 10.35957/fordicate.v1i1.1631

Abstract

The purpose of the implementation of community service activities is toprovide knowledge and basic skills in the field of application for accountingcalculator based on Android as supporting learning. The development ofinformation technology that supports the implementation of the activities(supporters) of the current work very much and offers facilities to their respectiveexcellence, the positive development of technology will make a good thing fortechnology users to facilitate daily activities. One technology that supports is asmartphone. Most students/I SMK PGRI City Pagar Alam already has a lot ofsmartphone based on Android. But here students/I SMK PGRI still not muchunderstand well in the use of Android learn especially the field of accounting.Method of implementation that is played in direct dedication come to the field toconvey the material through a workshop on making an Android-based accountingcalculator for students/I SMK PGR City Pagar Alam with the source of 1 personlecturer of Informatics Engineering Study Program and accompanied 1 studentsprogram Informatics Engineering STT Pagaralam. Conclusion in the report ofdevotion carried out in accordance with the prescribed procedures and cancontribute in the form of science to the students SMK PGRI and also can increasethe professionalism of lecturers in the Environment of Informatics EngineeringProgram of high School technology Pagar Alam. Results of the activities in SMKPGRI Siswa/I can increase knowledge and understanding especially the field oftechnology based on Android
PELATIHAN DIGITAL MARKETING UNTUK PENINGKATAN PROMOSI PRODUK UNGGULAN DAERAH BIPANG TANJUNG SAKTI Puspita, Desi; Putrawansyah, Ferry; Arif, Alfis
FORDICATE Vol 2 No 1 (2022): November 2022
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v2i1.3556

Abstract

The purpose of this activity is to provide students and the Tanjung Sakti community with knowledge about the use of digital marketing as a marketing medium to increase superior products in the Bipang Tanjung Sakti area. Where the development of the world in the digital era is so fast and it is very important for students and the community to use it in a positive direction and not misuse. Having digital marketing skills can become a marketing medium and provide skills in increasing product sales. The methods of implementing the activities carried out are the preparation stage, the implementation stage, the implementation stage and the evaluation stage. This activity is in the form of lectures, discussions, questions and answers and provides digital marketing training for students and the public in an effort to increase the promotion of superior products in the Bipang Tanjung Sakti area as an opportunity to open a business for entrepreneurship. The results of the implementation of activities at the pretest stage with a score of 70% show that many community service training participants still do not know about digital marketing. Next is the implementation stage by providing digital marketing training with materials on Packing, Photography Techniques, and Social Media Promotion. The results of the evaluation of the participants after training on digital marketing materials through protest obtained a value of 93%. This shows that after this training the participants really understand digital marketing to increase the promotion of superior products in the Bipang Tanjung Sakti area
Comparison Of K-Means and K-Medoids Algorithm for Clustering Data UMKM in Pagar Alam City ariska, sendy; Puspita, Desi; Anggraini, Inda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2090

Abstract

The aim of this research is clustering MSME data in Pagar Alam City using the K-Means and K-Medoids algorithms. This research is motivated by the lack of further management of MSME data collection, which can hinder the development and improvement of Pagar Alam City MSMEs. Meanwhile, this data is considered necessary for agencies to develop and improve Pagar Alam City MSMEs. Apart from agencies, this data is also useful for sub-districts, sub-districts and RT/RW to find out what interests, talents and potential the community has in what business fields. MSME data is processed using Rapid Miner and Python, the system development method in this research uses the Cross Industry Standard Process for Data Mining (CRISP-DM) method, where the stages include Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The test method uses the Davies-bouldin index, a DBI value that is close to 0 results in good clustering. The results of this research obtained 3 clusters. In 2020 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 1 and C2= 3 sub-district. In 2022 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 3 and C2= 1 sub-districts. The results of the 2020 sub-district DBI clustering calculation are DBI k-means = 0.134 and k-medoids = 0.523. In 2022 DBI k-means = 0.277 and k-medoids = 0.496. So it can be concluded that the K-Means algorithm in the case of grouping MSMEs in Pagar Alam City has better performance, because the DBI value is close to 0. From the results of the grouping it can help provide an overview for related parties in encouraging or providing assistance to sub-districts that are included in the low cluster.
Implementasi Learning Vector Quantization untuk Klasifikasi Jenis Buah Kelapa menggunakan Image Processing Puspita, Desi
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): 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.v11i3.3108

Abstract

Coconut fruit is a versatile plant because all parts from the stem to the coconut fruit have their benefits. Coconut fruit is the most valuable part of the economy. The problem so far that has occurred is that the process of classifying coconut species is still done manually and has not been computerized, namely the classification of coconut types is still based on experience, color, and shape of the coconut. This of course takes a long time and errors still occur frequently. So this research can help classify coconuts with Learning Vector Quantization (LVQ). The purpose of this research is to organize the types of coconuts with image processing and Learning Vector Quantization (LVQ) by using mean extraction from RGB (Red, Green, Blue) and standard deviation from RGB (Red, Green, Blue). The results of the study were taken from 2 different types of coconuts against the 80 training data, the accuracy of the training data was 83.75%. The evaluation results with the Confusion Matrix with a test accuracy value of 90% of the 20 test data.
Pelatihan Pembelajaran Berdiferensiasi Berbasis Digital dengan Canva bagi Sekolah Penggerak Puspita, Desi; Dewi, Nadiya Citra; Putrawansyah, Ferry
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

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Abstract

Education units that are part of the driving school program found that the implementation of digital-based differentiated learning, especially using Canva media, is still a challenge. Several aspects that can be seen from the results of observations and interviews include that many teachers in this educational unit are not fully aware of the importance and benefits of digital-based differentiated learning with Canva. The service method chosen to achieve the target of differentiated learning training with Canva starts from Self, Concept Exploration, Collaboration Space, and Demonstration. The work produced by the participants is concrete evidence of the positive impact of this service activity. These works reflect the understanding obtained from the service team regarding the material presented. Participants not only become consumers of information but are also able to turn it into useful work in a learning context
Optimalisasi Pembuatan Media Promosi menggunakan Canva Pada PAUD An Naba Kota Pagar Alam Aminah, Siti; Gusmaliza, Debi; Puspita, Desi
Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 2 (2024): Juni 2024 - Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ahsana.v2i2.336

Abstract

Promosi merupakan salah satu cara untuk mengenalkan produk atau jasa, dengan melakukan promosi diharapkan masyarakat dapat mengenal kita. Kegiatan promosi dilakukan juga oleh PAUD An Naba Kota Pagar Alam untuk mengenalkan kepada masyarakat, dengan tawaran jasa di bidang pendidikan. Promosi PAUD An Naba selama ini masih dilakukan dengan membuat spanduk, informasi perpesanan dan dari mulut ke mulut. Pemanfaatan aplikasi desain grafis belum optimal, karena masih kurangnya pemahaman guru dan pengelola dalam menggunakan aplikasi tersebut. Pada kegiatan ini dilakukan pelatihan pembuatan media promosi menggunakan aplikasi Canva yang dapat digunakan secara gratis. Dalam kegiatan ini diberikan materi pengenalan dasar tools canva sampai membuat desain menggunakan template yang tersedia. Sebelum kegiatan dilakukan peneliti melakukan observasi, membuat perencanaan, merealisasikan kegiatan dan mengevaluasi hasil kegiatan. Dari hasil kegiatan ini didapatkan bahwa para guru dan pengelola sangat antusias dalam mengikuti kegiatan ini, selain bertambah pengetahun, juga menambah keterampilan. Untuk evaluasi dilakukan dengan uji pretest dan posttest, uji prestest dari pertanyaan pengenalan dan pemanfaatan aplikasi canva didapatkan 33% sudah mengetahui dan 67% belum mengetahui dan memanfaatkan. Dari kegiatan inipengelola dan guru dapat meghasilkan desain flyer promosi untuk meningkatkan daya minat masyarakat terhadap PAUD An Naba Kota Pagar Alam.
MODEL RAPID APPLICATION DEVELOPMENT DALAM PERANCANGAN SISTEM INFORMASI KEPEGAWAIAN Aminah, Siti; Puspita, Desi
Jusikom : Jurnal Sistem Komputer Musirawas Vol 7 No 1 (2022): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v7i1.1563

Abstract

Penelitian ini bertujuan untuk menghasilkan sistem informasi Kepegawaian berbasis web pada Dinas Kependudukan dan Pencatatan Sipil Kota Pagaralam (DUKCAPIL ). Dimana pada bagian kepegawaian DUKCAPIL masih menggunakan Microsoft Word atau masih dalam bentuk sistem sederhana yang belum terintegrasi. Sehingga dalam pencarian data pegawai masih membutuhkan waktu yang cukup lama dan tidak sesuai apa yang diharapkan dan dibutuhkan pegawai, seperti data pegawai seluruh maupun data pegawai pergolongan, perjabatan dan perpendidikan. Dalam pembuatan sistem informasi ini peneliti menggunakan metode Pengembangan sistem menggunakan RAD ( Rapid Application Development ) terdapat 3 (tiga) tahapan yaitu, Requirements Planning, RAD Design Workshop dan Implementasi. Dengan menggunakan metode RAD metode ini cocok untuk tipe proyek dengan waktu yang singkat dalam proses penelitian. Perancangan sistem dengan mengggunakan Unified Modeling Language (UML), pembuatan sistem dengan pemrograman PHP dan MySql. Hasil pengujian sistem dengan Black Box Testing berdasarkan fungsi-fungsi masukan dan keluaran sistem dinyatakan berhasil sesuai yang diharapkan. Dari hasil pengujian didapatkan hasil penelitian berupa Sistem Kepegawaian berbasis web yang dapat diimplementasikan dengan penerapan metode RAD
KLASIFIKASI PENGUNJUNG WISATA DI KOTA PAGAR ALAM DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) Syahri, Riduan; Puspita, Desi
(JITEK)Jurnal Ilmiah Teknosains Vol 9, No 2/Nov (2023): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v9i2/Nov.17329

Abstract

The city of Pagar Alam has many beautiful tourist options, fresh and cold air, and unique culture and culinary delights. So that it becomes an area that is visited by many local and foreign tourists. Of the many visitors who come, not a few of them leave impressions in the form of reviews of the places they have visited. The purpose of this study is to determine the classification and to determine the accuracy produced by the K-Nearest Neighbor (K-NN) method. The K-Nearest Neighbor (K-NN) method is used to classify visitor data on Pagar Alam tours. Tests carried out to get good accuracy results and evaluate using a confusion matrix. This research produces a classification system that can identify and classify Pagar Alam tourism visitors using the K-Nearest Neighbor (K-NN) algorithm with the results obtained the greatest accuracy with a value of k = 3 with 99% accuracy, K0 gets 98% precision, recall 100 and a fi-score of 99%, for k1 precision 100%, the recal is 89% and the fi-score is 92%, while for K2 the precision is 100%, the recal is 100%, the f1-score is 100%.