Judul: Analysis of User Experience Related to the use of the Large Language Model (LLM) for the Agricultural Community
Abstrak: Salah satu cara dalam mengatasi tantangan petani dalam mencari informasi secara efisien di internet adalah penggunaan chatbot yang dapat diimplementasi menggunakan Large Language Model (LLM) seperti ChatGPT. Pengalaman yang diberikan LLM dapat memengaruhi pengalaman pengguna yang berkaitan dengan kenyamanan dan kepuasan. Cara untuk menilai sejauh mana peran LLM dalam memberikan pengalaman pengguna yang baik adalah dengan melakukan penelitian menggunakan kuesioner dan wawancara untuk menilai informasi yang diberikan LLM dari aspek kepercayaan, pemahaman, dan gaya komunikasi. Kuesioner dibuat berdasarkan wawancara kepada petani dan penyuluh pertanian serta jawaban dari ChatGPT dan dosen pertanian yang dibagikan kepada 11 petani di Kecamatan Dramaga. Sebanyak 6 responden di antaranya diwawancara untuk menjelaskan hasil kuantitatif. Hasilnya, jawaban dari dosen lebih unggul dalam segala aspek. Meskipun demikian, rata-rata respon positif setiap jawaban LLM bernilai cukup tinggi. Akan tetapi, masih ada beberapa kekurangan informasi dari LLM seperti panjang informasi dan penggunaan kata-kata yang dianggap masih asing oleh responden., One way to overcome farmers' challenges in finding information efficiently on the internet is using chatbot that can be implemented using Large Language Model (LLM) such as ChatGPT. The experience provided by the LLM can influence the user experience in terms of comfort and satisfaction. The way to assess the extent of the LLM's role in providing a good user experience is to conduct research using questionnaires and interviews to assess the information provided by the LLM in terms of trust, understanding, and communication style. The questionnaire was made based on interviews with farmers and agricultural extension workers, also responses from ChatGPT and agricultural lecturers, and was distributed to 11 farmers in Dramaga District. A total of 6 respondents were interviewed to explain the quantitative results. The results showed that the responses from the lecturers were superior in all aspects. Nevertheless, the average positive response of each LLM response was quite high. However, there were still some shortcomings in the information provided by the LLM, such as the length of information and the use of unfamiliar words for respondents.
Keyword: LLM, Pertanian, Pengalaman Pengguna, ChatGPT

Judul: Analysis of User Experience Regarding the Use of the Large Language Model (LLM) for Guiding Student’s Undergraduate Thesis
Abstrak: LLM pada chatbot memiliki peran besar dalam pembelajaran untuk meningkatkan produktivitas mahasiswa dan memberikan pengguna pengalaman berkomunikasi dengan chatbot yang realistis. Tujuan dari penelitian ini adalah mengukur indikator kepercayaan, pemahaman pengguna dan kecocokan cara berkomunikasi pengguna dengan model LLM dan menganalisis pengalaman pengguna terhadap pemanfaatan LLM dalam pembimbingan tugas akhir terhadap mahasiswa dalam menggunakan SOM AI dan ChatGPT. Riset pengguna dilakukan secara kuantitatif dengan kuesioner, serta kualitatif dengan wawancara kepada mahasiswa. Kuesioner diisi oleh 60 partisipan dan diambil 15 partisipan untuk melakukan wawancara. Berdasarkan hasil dari kuesioner dan wawancara, responden cenderung mempercayai jawaban yang memberikan informasi yang cukup untuk mengerjakan tugas akhir. Responden cenderung lebih mudah paham dengan informasi yang disajikan perpoin. Bahasa yang tidak terlalu baku, namun dikemas dengan formal merupakan preferensi cara berkomunikasi responden ketika menggunakan chatbot untuk tugas akhir., LLM in chatbot has a great role in learning to increase student productivity and provide users with a realistic experience of communicating with chatbot. The purpose of this study is to measure indicators of trust, user understanding and compatibility of the user's way of communicating with the LLM model and analyze the user's experience of utilizing LLM in final project guidance to students using SOM AI and ChatGPT. User research was conducted quantitatively with a questionnaire, and qualitatively with interviews with students. The questionnaire was filled out by 60 participants and 15 participants were taken to conduct interviews. Based on the results of the questionnaire and interviews, respondents tend to trust answers that provide enough information to do the final project. Respondents tend to understand more easily with information presented in bullet points. Language that is not too standardized, but packaged formally is the preference for the way respondents communicate when using a chatbot for the final project.
Keyword: Chatbot, college student, final assignment guidance, LLM, user experience

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4