Judul: Perancangan Pengalaman Pengguna Aplikasi Digitani Menggunakan Metode Five Planes untuk Pakar Pertanian IPB
Abstrak: Institut Pertanian Bogor telah merilis aplikasi Digitani berbasis mobile dan web untuk memfasilitasi konsultasi antara petani dan pakar pertanian IPB. Namun, aplikasi tersebut belum melakukan analisis mendalam mengenai kebutuhan pakar. Padahal, pakar pertanian IPB berperan penting dalam menyebarkan ilmu-ilmu pertanian. Oleh karena itu, dilakukan penelitian yang berfokus pada perancangan prototipe mobile dan web aplikasi Digitani sesuai dengan kebutuhan pakar IPB menggunakan metode Five Planes. Hasil penelitian ini meliputi user persona, 11 spesifikasi fungsional, low-fidelity prototype, dan high-fidelity prototype. Prototipe dievaluasi menggunakan metode Retrospective Think Aloud kepada lima responden dengan jumlah 20 task. Evaluasi menunjukkan error rate tertinggi terjadi pada pengerjaan task mobile sebesar 70%. Terdapat dua task pada mobile dan satu task pada web yang pengerjaannya melampaui batas waktu yang ditentukan. Evaluasi ini menjadi saran untuk perbaikan pada prototipe selanjutnya. Secara keseluruhan, responden menilai bahwa desain aplikasi Digitani menarik dan mudah digunakan., Bogor Agricultural University has released a mobile and web-based Digitani application to facilitate consultation between farmers and IPB agricultural experts. However, the application has not conducted an in-depth analysis of expert needs. In fact, IPB agricultural experts play an important role in disseminating agricultural sciences. Therefore, research was conducted that focused on designing mobile and web prototypes of the Digitani application according to the needs of IPB experts using the Five Planes method. The results of this research include user personas, 11 functional specifications, low-fidelity prototype, and high-fidelity prototype. The prototype was evaluated using the Retrospective Think Aloud method to five respondents with a total of 20 tasks. The evaluation showed that the highest error rate occurred in the mobile task at 70%. Then, there were two tasks on mobile and one task on the web that exceeded the specified time limit. This evaluation is a suggestion for improvement in the next prototype. Overall, respondents found the design of the Digitani app attractive and easy to use.
Keyword: Agricultural Expert, Five Planes, Retrospective Think Aloud

Judul: Perancangan User Experience Aplikasi Digitani untuk Penyuluh Pertanian Menggunakan Metode Five Planes
Abstrak: Pembangunan pertanian membutuhkan kompetensi dari pengguna teknologi. Pihak yang masih kurang terhadap akses sumber informasi yaitu petani sehingga diperlukan dukungan sumber daya penyuluh pertanian. Institut Pertanian Bogor sebagai lembaga pendidikan di bidang pertanian mengembangkan aplikasi Digitani yang membantu dalam penyebaran informasi. Namun, belum sepenuhnya melibatkan penyuluh pertanian. Perancangan aplikasi menggunakan metode Five Planes. Penelitian ini bertujuan untuk meningkatkan user experience aplikasi Digitani berdasarkan kebutuhan penyuluh pertanian menggunakan Retrospective Think Aloud. Evaluasi dilakukan kepada lima responden dengan melakukan pengujian pada 17 task. Hasil evaluasi menunjukkan error rate yang paling tinggi terdapat pada task menyimpan dan membuka artikel yang disimpan sebesar 67% serta terdapat 6 task mobile dan 3 task website yang pengerjaannya melebihi batas waktu yang ditentukan. Secara keseluruhan responden berpendapat bahwa fitur yang diujikan sudah mencakup kebutuhan penyuluh pertanian., Agricultural development requires competence from technology users. Farmers, who still lack access to information sources, require the support of agricultural extension resources. Bogor Agricultural University, as an educational institution in agriculture, developed the Digitani application to help disseminate information. However, agricultural extension workers have not been fully involved in the application's design. The design of the application incorporates the Five Planes method. This research aims to improve the user experience of the Digitani application based on the needs of agricultural extension workers using Retrospective Think Aloud. The evaluation was conducted on five respondents by testing 17 tasks. The evaluation results show that the task of saving and opening stored articles has the highest error rate at 67%, and there are 6 mobile tasks and 3 website tasks that exceed the specified time limit. Overall, respondents believed that the tested features adequately addressed the needs of agricultural extension workers.
Keyword: agricultural extension, five planes, retrospective think aloud

Judul: Peptides Hydrolysate Derived from Collagen of Snakehead Murrel (Channa striata) Skin Demonstrate Anti-oxidant and Anti-cholesterol Activities.
Abstrak: Anti-cholesterol and anti-oxidant play crucial role to combat cardiovascular disease (CVD) related to formation of arterial plagues from oxidation of cholesterol. In the past decades, research on bioactive peptides demonstrating anti-cholesterol and anti-oxidant activities have been reported as the alternative drugs. In this study, acid soluble collagen was extracted from the skin of snakehead murrel and employed to induce production of collagenase by Bacillus licheniformis F11.4. The collagenases secreted were in turn purified through AKTA Purifier (ion exchange, DEAE column) and used to produce peptides hydrolysate. The purified enzymes were grouped in two distinct collagenase fractions, designated as fraction D and F. Peptides hydrolysate produced by the fraction D was found to demonstrate HMG-CoA inhibitor activity comparable to pravastatin and limited anti-oxidant activity. Meanwhile, peptides hydrolysate generated using the fraction F demonstrated anti-oxidant activity comparable to BHT (2mM), vitamin C (2mM) and vitamin E (2mM), but limited HMG-CoA activity. Combination of the fraction D and F resulted in substantial HMG-CoA inhibition and anti-oxidant activities.
Keyword: Anti-cholesterol, anti-oxidant, bioactive peptide, collagen, collagenase, snakehead murrel