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Strategi Pengelolaan Sampah Makanan untuk Meningkatkan Kesadaran Publik Tentang Food Waste
Jurnal Agrifoodtech
Vol 3
, No 1
(2024)
Penelitian ini dilatar belakangi oleh banyaknya limbah makanan di Indonesia serta kurangnya kesadaran dan pemahaman masyarakat mengenai pengelolaan limbah makanan. Sampah makanan akan selalu menjadi masalah lingkungan yang berkepanjangan jika tidak dilakukan upaya mengatasinya. Penelitian ini bertujuan untuk melakukan analisis terhadap berbagai metode manajemen sampah makanan (food waste) agar dapat meningkatkan kesadaran masyarakat mengenai food waste. Metode penelitian yang diterapkan adalah s...
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Karakteristik Fisik dan Kimia Buah Musiman di Indonesia
Jurnal Agrifoodtech
Vol 3
, No 1
(2024)
Buah rambutan, salak, duku dan manggis termasuk ke dalam jenis buah musiman yang mencerminkan keanekaragaman hayati di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi karakteristik fisik dan kimia pada beberapa buah musiman lokal. Metode yang digunakan melibatkan pengamatan langsung terhadap parameter fisik seperti warna, rasa, berat, kekerasan, dan persentase bagian yang dapat dimakan. Parameter kimia yang diamati meliputi nilai pH, kadar padatan terlarut, dan total asam titrasi. Has...
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Citarasa Kopi Robusta Dari Berbagai Ketinggian Tempat Penanaman
Jurnal Agrifoodtech
Vol 3
, No 1
(2024)
Kopi merupakan salah satu komoditas unggulan subsektor perkebunan di Indonesia yang dapat bersaing kualitasnya secara global, sehingga kopi memiliki peran cukup strategis dalam perekonomian nasional. Hingga saat ini kebutuhan kopi menunjukkan kecenderungan positif, tidak saja kebutuhan domestik akan tetapi juga kebutuhan dunia yang meningkat dengan laju peningkatan konsumsi kopi 14% setiap tahunnya. Jenis kopi yang banyak diusahakan di Indonesia adalah kopi Robusta dengan luasan hampir 77%. Kopi...
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A Comprehensive Study on Applications of Blockchain in Wireless Sensor Networks for Security Purposes
Nguyen, Mui Duc
; Nguyen, Minh Tuan
; Vu, Thang Chien
; Ta, Tien Minh
; Tran, Quang Anh
; Nguyen, Dung The
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
The paper evaluates potential applications of blockchain technology in enhancing the security and reliability of Wireless Sensor Networks (WSNs). The existing vulnerabilities in WSNs, such as concerns regarding data integrity and security, demand innovative security solutions. Through systematic analysis, this paper provides valuable insights to expand understanding of WSNs security, explaining the feasibility and benefits of deploying blockchain technology. Possible attacks in the networks are...
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PENGEMBANGAN GAME PEMBELAJARAN INTERAKTIF MATEMATIKA BANGUN RUANG SISWA KELAS 6 SD
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 17
, No 1
(2024)
Mathematics is one of the important subjects. Mathematics is also a subject that is difficult to understand. Understanding concepts is the most important part of learning mathematics, meaning that in studying mathematics students must first understand mathematical concepts in order to be able to solve problems and be able to apply this learning in the real world.
Based on direct observations and interviews with grade 6 teachers at SD Negeri 02 Getas, teachers have difficulties in the theme of le...
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Implementasi Aplikasi Mobile Knowledge Management System pada PT. Pesona Edukasi menggunakan Pendekatan Rapid Application Development
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 17
, No 1
(2024)
Effective knowledge management is crucial for maintaining competitiveness in today's digital era. PT. Pesona Edukasi, as a developer of educational software, faces challenges in managing and disseminating knowledge among their frequently mobile IT Helpdesk team. To address this, this research aims to implement a Mobile Knowledge Management System using the Rapid Application Development (RAD) approach at PT. Pesona Edukasi.The RAD method was chosen to enable rapid, flexible, and responsive applic...
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Analisis Sentimen Pada Ulasan Produk Dengan Metode Natural Language Processing (NLP) : (Studi Kasus Zalika Store 88 Shopee)
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
n today's digital era, customer reviews play a crucial role in purchasing decisions, but the large volume of reviews makes manual analysis difficult. Thus, a fast and accurate sentiment analysis method using Natural Language Processing (NLP) is needed. This research aims to analyze product reviews for the ZALIKA STORE 88 on Shopee using NLP. It involves preprocessing reviews, applying NLP techniques like tokenization, stemming, and lexical analysis, and automatically classifying sentiments. The...
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Pengembangan Fitur Chat Pada Website PT. Danatrans Service Logistics
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
PT. Danatrans Service Logistics has website-based information media, but the website only displays the services offered and if a customer wants to ask, they have to retype the PT email address. Danatrans Service Logistics will of course take quite a long time, so it will reduce the quality of service provided to customers via the website. This research has succeeded in developing the PT website. Danatrans Service Logistics with chat facilities between customers and the Billing, Customer Service,...
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Implementasi System Usability Scale pada Sistem Informasi Rencana Umum Pengadaan (SIRUP) Lokal Pemerintah Provinsi Jawa Tengah
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
Sistem Informasi Rencana Umum Pengadaan (SIRUP) Lokal is a web-based application utilized by the Government of Central Java Province for procurement planning of goods and services. Of course, evaluation is needed to measure the usability level of the SIRUP Lokal and as input for future development purposes. The respondents of this research are active users of SIRUP Lokal, totaling 100 people. This research is quantitative in nature with descriptive analysis. Data collection is done through quest...
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Analisa Data Mining Menggunakan Algoritma Apriori Dan Algoritma Eclat Di PT Astra International BMW Semarang
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research ai...
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