Judul: Dashboard Interaktif Monitoring Data Tinggi Muka Air Tanah Menggunakan Framework Shiny
Abstrak: Lahan gambut merupakan lahan yang sangat sensitif terhadap kebakaran dikarenakan tinggi air muka yang rendah saat musim kemarau. Kebakaran hutan dan lahan (Karhutla) di Indonesia tercatat sebagai salah satu bencana yang paling banyak terjadi. Badan Nasional Penanggulangan Bencana (BNPB) Indonesia mencatat 579 kasus bencana karhutla pada tahun 2021 dan 252 kasus karhutla pada tahun 2022. Salah satu upaya yang bisa dilakukan sebagai pencegahan kebakaran lahan yaitu dengan memantau keseimbangan tinggi muka air tanah. Pengembangan dashboard interaktif monitoring TMA digunakan sebagai media dalam mengakses informasi pemantauan tinggi muka air tanah dan bisa digunakan sebagai acuan dalam memprediksi status kewaspadaan kebakaran hutan dan lahan di masa mendatang. Penelitian ini menghasilkan beberapa fitur yang dapat digunakan oleh pengguna seperti select location, select monitoring date, select rounding date, monitoring plot, dan download data yang dikembangkan menggunakan package Highcharter dan package Shiny dashboard pada bahasa pemrograman R. Pengujian yang dilakukan pada penelitian ini menggunakan metode blackbox testing yang menghasilkan keputusan bahwa sistem yang kembangkan sudah memenuhi kebutuhan yang diharapkan., Peatland is land that is very sensitive to fire due to the low water table during the dry season. Forest and land fires in Indonesia are recorded as one of the most frequent disasters. The Indonesian National Disaster Management Authority (NDMA) noted that there were 579 cases of forest and land fires in 2021 and 252 cases of forest fires in 2022. One effort that can be taken to prevent land fires is to monitor the balance of the groundwater level. The development of an interactive monitoring dashboard for TMA is used as a medium to access information on monitoring groundwater levels and can be used to be a reference in predicting the alert status of forest and land fires in the future. This research produces several features that can be used by users such as select location, select monitoring date, select rounding date, monitoring plots and download data which were developed using the Highcharter package and the Shiny dashboard package by R programming language. The tests carried out in this study used the black box testing method. which results in the decision that the system being developed meets the expected needs.
Keyword: Groundwater level, interactive dashboard, R Shiny

Judul: Front-End Module at Post Forest and  Land Fire Area Severity Level Assesment System
Abstrak: Kebakaran hutan dan lahan (karhutla) merupakan salah satu fenomena berdampak besar yang sering terjadi di Indonesia, terutama pada musim kemarau. Dalam perumusan program rehabilitasi terhadap area yang terkena dampak karhutla, salah satu informasi yang dibutuhkan adalah tingkat keparahannya. Saat ini, metode penilaian fire severity belum terintegrasi dengan sistem maupun basis data, sehingga informasi hasil penilaiannya belum dapat diakses oleh pihak yang membutuhkannya. Oleh karena itu, penelitian ini bertujuan membangun Sistem Penilaian Tingkat Keparahan Area Pasca Kebakaran Hutan dan Lahan, khususnya pada modul front-end. Pembangunan modul front-end dilakukan dengan mengadopsi metode prototyping yang meliputi tahapan komunikasi dengan stakeholder, perencanaan dan pemodelan cepat sistem, konstruksi prototipe, pengujian dan feedback sistem. Fitur utama yang disediakan modul front-end meliputi registrasi akun, login, melihat peta sebaran lokasi area pasca karhutla, menambahkan penilaian karhutla baru, melihat detail data laporan, mengubah data laporan, menghapus data laporan, dan melihat data pengguna. Hasil black- box testing menunjukkan semua fitur utama telah berjalan sesuai dengan ekspektasi. Kelebihan dari modul front-end ini di antaranya fitur pencarian koordinat otomatis, kemampuan membagi penilaian sebuah area karhutla menjadi beberapa plot, fitur untuk memperbaiki kesalahan entri data laporan setelah dibuat, serta performa yang baik. Beberapa rencana perbaikan sistem selanjutnya meliputi penambahan jenis dan modul manajemen pengguna, penambahan fitur filter dan search, serta penambahan mekanisme verifikasi registrasi akun., Forest and land fire (karhutla) is an impactful phenomenon frequently occurring in Indonesia, especially during the dry season. In formulating a rehabilitation program for areas affected by forest and land fires, one of the information needed is the fire severity level. The fire severity assessment method has not been integrated with any system or database; those who need it cannot access the assessment data. Therefore, this research aims to build a Post Forest and Land Fire Area Severity Level Assessment System, specifically the front-end module. The front-end development is carried out by adopting the prototyping method, which includes the stages of communication with stakeholders, quick system planning and modeling, prototype construction, testing and system feedback. Key features provided by the front-end module include account registration, login, viewing a map of post-fire locations, adding new post fire assessment, viewing detailed report data, modifying report data, deleting report data, and viewing user data. Results from black-box testing show that all key features in the front-end module performed as expected. The advantages of this front-end module include a feature to search for coordinates automatically, abillity to divide a post fire area into multiple plots, a feature to fix incorrect data entries after the report has been made, and a good performance. Plans to fix the system in the next development iteration include adding new user types and a user management module, adding a filter and a search feature, as well as adding an account verification mechanism.
Keyword: karhutla, modul front-end, penilaian tingkat keparahan, sistem informasi geografis web

Judul: Inducible and constitutive synthesis of penicillinase by staphylococcus aureus
Abstrak: When tested quantitatively for the production of penicillinase, eighteen of one hundred and twenty-two naturally occurring penicillin-resistant staphylococci were classified as constitutive or microconstitutive. Fourteen of the constitutive strains were not typable, the other four were lysed by group III phage. The inducible and constitutive strains of Staphylococcus aureus were resistant to concentrations of mercuric chloride that inhibited strains sensitive to penicillin. Transfer of the penicillinase determinant by transduction from a microconstitutive strain to a sensitive strain resulted in recombinants that produced inducible penicillinase.
Keyword: Staphylococcus aureus, Staphylococcal penicillinase, Bacteriophage