Judul: Penentuan Wilayah Endemik Malaria Di Propinsi Lampung dan Analasis Pengaruh Unsur Iklim terhadap Tingkat Kejadian Penyakit
Abstrak: Malaria disease is one of the diseases which has so far become the center of attention by the government due to its alarming existence. The malaria transmission in Indonesia is affected by factors of parasite, mosquitos, human beings, and physical as well as biological environment. This research is aimed at: (1) Knowing the endemic areas of malaria disease and Compiling the map of malaria endemic disease in every regency and district in the province of Lampung; (2) Identifying the impact of climate elements on the number of cases of the clinical malaria incidence in the province of Lampung (case sample: South Lampung). Based on the analytical outcome, the regency which bears the highest susceptibility level average is the north Lampung regency with the highest endemic district of Kalianda. The locality with the lowest susceptibility level average is Kota Metro. The period with the highest malaria transmission at the regency and district levels occurs in the month of Januari until March. The climate elements having closest relationship is indicated by the actual vapor pressure (ea) (r=0.28; p-value < 0.05). ea which can indicate the highest (Montly Malaria Incidence) MoMi is the one which is measured two months before the outbreak, amounting to 22% and rainfall which can indicate the best MoMi is the one which is measured two months before the outbreak, reaching to 23%. The rainfall has been able to inflict the clinical malaria outbreak in the area close to the beach , i.e. Kalianda covering 48 cases with one month duration of rain, and with the highest proportion of 89% after seven consecutive months of rainfall. In the hinterland of Kotabumi, the clinical malaria outbreak could reach 45 cases with one month duration of rainfall and the highest outbreak proportion could reach 93% after three consecutive months of rainfall. In both districts with rainfall limit 􀂕 25 mm has been able to inflict malaria outbreak. In any value of rainfall, actual vapor pressure, and humidity, the possibility of having hight incidence is bigger the possibility of having medium incidence; however, the possibility will be even if CH, ea, and RH are bigger or equal to 500 mm (rainfall), 35 mb (ea), and 90% (RH).
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Judul: Climate suitability for anopheles spp. mosquitoes and malaria incidence in East Sumba, NTT
Abstrak: Malaria adalah penyakit yang ditularkan oleh vektor dan dipengaruhi oleh berbagai faktor, salah satunya adalah iklim. Faktor-faktor iklim di suatu lokasi, seperti curah hujan, kelembapan, dan suhu udara, dapat memengaruhi siklus hidup nyamuk Anopheles sp. vektor penular malaria. Penelitian ini bertujuan untuk menentukan dampak faktor iklim terhadap kejadian malaria berdasarkan kesesuaian wilayahnya terhadap kehidupan nyamuk menggunakan indeks ekoklimatik luaran model Climex 4.0. Data iklim yang dianalisis adalah data luaran model iklim yang dikoreksi dengan data observasi. Analisis korelasi Pearson dan POD (Probability of Detection) untuk melihat ketepatan hubungan antara angka kejadian malaria dan iklim. Peningkatan curah hujan, suhu udara rata-rata, dan kelembapan relatif dapat menyebabkan peningkatan kasus malaria karena memiliki hubungan positif. Nilai EI rataan untuk Kabupaten Sumba Timur berkisar antara 51-61, yang menunjukkan bahwa kondisi iklim antara tahun 2012-2021 sesuai untuk pertumbuhan nyamuk. Kecamatan yang rentan terhadap penyebaran penyakit terletak di daerah pesisir, sementara yang kurang sesuai terletak di daerah pegunungan. Curah hujan dan suhu memiliki korelasi tertinggi satu bulan sebelum terjadinya penyakit, dengan nilai korelasi masing-masing sebesar 0,68 dan 0,61; sedangkan curah hujan dan EI menunjukkan POD jeda waktu satu bulan dengan kejadian penyakit sebesar 0,69 dan 0,68. Nilai MoPI tinggi secara cukup konsisten terjadi ketika nilai EI dan curah hujan tinggi, sehingga dapat digunakan sebagai informasi periode penerapan upaya preventif mencegah penyebaran malaria., Malaria is a diseases transmitted by vectors and influenced by various factors, one of which is climate. Climate factors in a particular location, such as rainfall, humidity, and air temperature, can affect the malaria mosquito's life cycle. This research aims to determine the impact of climate factors on malaria occurrences based on the suitability of the regions for mosquito life using the ecoclimatic index output Climex 4.0 model. The climate data analyzed are climate model outputs corrected by observational data. The Pearson correlation and POD (Probability of Detection) analysis used to find the relationship between climate n malaria incidence. Increased rainfall, average air temperature, and relative humidity can lead to a rise in malaria cases due to their positive relationship. East Sumba has suitable conditions for mosquito growth during 2012-2021 due to having an EI value exceeding 51. Districts vulnerable to disease transmission are found in coastal areas. Rainfall and temperature have the highest correlation one month before the disease occurrence, with correlation values of 0,68 and 0,61; while rainfall and EI in a one month time lag show POD of 0,69 and 0,68. High MoPI values consistently occur when EI and rainfall values are high, so that that it can be used as information on the period of implementing preventive measures to prevent malaria transmission.
Keyword: Climatic factors, Climex, EI, Malaria, POD

Judul: Penerbangan Otomatis Pesawat Tanpa Awak Jenis Sayap Tetap dengan iNav
Abstrak: Pesawat tanpa awak (UAV) dapat dikendalikan secara manual dengan remote control atau secara otomatis dengan flight controller (FC). Salah satu jenis UAV adalah sayap tetap yang memiliki bentuk seperti pesawat terbang pada umumnya. Penelitian ini bertujuan untuk melakukan penerbangan otomatis pada UAV jenis sayap tetap dengan mengkonfigurasi perangkat FC. UAV yang digunakan adalah model SkySurfer X8 dengan bentang sayap 1.4 m. FC yang digunakan adalah Matek F405-Wing yang dikonfigurasi dengan perangkat lunak iNav. Berdasarkan hasil uji terbang, UAV berhasil terbang secara otomatis mengikuti skenario yang diberikan. Skenario terjauh berupa persegi berukuran 600×600 m pada ketinggian 100 m, yang ditempuh dalam waktu sekitar 2 menit dengan kecepatan sekitar 65 km/jam. Diharapkan prosedur perakitan, konfigurasi, operasi, dan hasil data uji terbang dapat menjadi acuan dalam penelitian selanjutnya.
Keyword: iNav, penerbangan otomatis, pesawat tanpa awak, sayap tetap