Judul: Sistem Pakar Perlakuan Tanaman dengan Hormon Pertumbuhan, Faktor Eksogen dan EndogenMenggunakan Pendekatan Fuzzy.
Abstrak: Proses pertumbuhan tanaman dapat dimanipulasi dengan cara memberikan hormon tertentu dan memberikan faktor eksogenous tanaman pada kadar tertentu. Perlakuan ini mampu mempengaruhi pertumbuhan tanaman sesuai dengan kebutuhan, contohnya: mempercepat proses pembungaan, memperpanjang masa kemudaan(juvenility), atau untuk meregenerasi bagian tertentu pada bunga. Pada praktiknya, efek dari proses perlakuan ini hanya dapat dilihat pada tanaman setelah melewati periode waktu yang cukup panjang dan dilakukan dalam proses penelitian yang memakan banyak biaya. Sistem pakar ini dikembangkan untuk memprediksi pertumbuhan tanaman dengan cara memasukkan beberapa variabel seperti hormon dan faktor eksogenous. Sistem pakar ini merupakan kombinasi dari sistem inferensi fuzzy Mamdani dan sistem berbasis aturan. Sistem ini mampu menstimulasi efek dari pemberian hormon dalam dosis fuzzy dan faktor eksogenous. Sistem ini dapat digunakan untuk mengestimasi apakah tanaman mampu memproduksi bunga, mandul, tetap muda atau mati. Sistem ini juga mampu memprediksi bentuk bunga yang akan tumbuh, apakah bunga tersebut akan tumbuh menjadi bunga sempurna atau bunga dengan kecacatan pada beberapa bagian dari bunga tersebut. Akurasi hasil dari proses inferensi sistem yang didapat adalah sebesar 75 %.
Keyword: faktor eksogenous, fuzzy, hormon, pertumbuhan tanaman, sistem pakar

Judul: Sistem Pakar Prediksi Produktivitas Padi Pandan Wangi Menggunakan Logika Fuzzy
Abstrak: The increase of superior commodity production value is Indonesian government's efforts to survive in competitive trade competition. Superior commodity that has become the hallmark of Indonesia is beras pandan wangi. This commodity has a distinctive taste and fragrance, well-known in regional, national and international markets. Expert system can help the effort in order to run effectively and efficiently by predict pandan wangi paddy productivity. This system has three inference systems, the first is to determine the condition of the land with the input level of nitrogen, phosphorus, potassium and acidity level of the soil, the second is to determine the environmental conditions with rainfall input, land elevation and irrigation (water discharge). The second output of the inference will become an input for the third inference system which has pandan wangi paddy productivity as the final output. This expert system using mamdani fuzzy logic model and mean of maximum (MOM) for defuzzification. This expert system has an accuracy of 61.72%, 62.96% and 88.88% for the first, second, third inference system respectively.
Keyword: Bogor Agricultural University (IPB), productivity of pandan wangi, MOM, mamdani, fuzzy logic

Judul: Seroprevalence of Chikungunya and The Risk of Transmission Transmitted Among Blood Donors In Sulawesi-Indonesia
Abstrak: Chikungunya (CHIK) is an arthritogenic alphavirus in the Togaviridae family of arboviruses with an enveloped RNA containing a positive single-stranded 11.8 kb genome. Transmission occurs through the bite of infected Aedes mosquitoes, which are commonly found in tropical and temperate regions. Primary vertebrate hosts include monkeys and humans, in whom this virus replicates efficiently (Diallo et al. 1999). Chikungunya virus (CHIKV) is known for causing acute illness, manifesting with fever, rash, and arthralgia known as Chikungunya fever (Horwood dan Buchy 2015). Despite the high number of Chikungunya cases in Indonesia, comprehensive data are lacking in CHIKV seroprevalence. Previous studies reported the median seroprevalence of anti-CHIKV antibodies in all situations 18.5%, ranging from 0.0 – 73.% (Harapan et al., 2019). However, the gap in epidemiological data of CHIKV in many regions of Indonesia including Sulawesi, is noteworthy. The objective of this study was to determine the seroprevalence of CHIKV infection among healthy individuals from North and South Sulawesi using archive samples. Additionally, an asymptomatic course of CHIKV infection and the high pre-symptomatic viral load as 108pfu/mL (Appassakij et al. 2013) suggest that the infection can threaten blood transfusion safety. Evidence of CHIKV infection among blood donors (Simmons et al. 2016) indicates transfusion-transmitted is probable, although it has not been documented (Petersen dan Epstein 2014). Our study also aimed to test the archive blood donor specimens from North Sulawesi for CHIKV IgM and viremia to determine blood safety in endemic areas. Samples were screened for anti-CHIKV IgG antibodies to determine exposure to CHIKV using an in-house IgG ELISA as previously described (Kosasih et al. 2013) with minor modifications. CHIKV IgM, a marker for recent infection and endemicity, was tested in 303 samples randomly selected from IgG-positive samples using a Euroimmun anti-CHIKV IgM ELISA kit (Luebeck, Germany) following the manufacturer’s instructions. CHIKV RNA detection was carried out using one-step-qRT-PCR. The data generated were analyzed with IBM-SPSS v20 (IBM Corporation, USA). Chi-square (χ2) test to determine significant differences between categorical variables, and a p-value less than 0.05 was considered statistically significant. As many as 1092 serum and plasma samples were analyzed, with CHIK IgG seropositivity at 53.48% (584/1092). The results also show a statistically significant difference in the seropositive rates based on gender (58.8% male and 48.5% female) and region (53.9% South Sulawesi versus 48.7% North Sulawesi). Seropositivity increased with age; approximately half of adults between their 40s and 60s had seroconverted. Most of the participants, 304 (27.8%), were between 21-30 years. The age groups with the least participants were those >60 years and <20 years, with 93 participants each (8.5%), followed by the 51–60-years age group with 142 (13.0%) participants. In addition to IgG, the overall anti-CHIKV IgM seropositivity comprised 12.9% (39/303). A Chi-square analysis shows a statistical significance of anti-CHIKV IgM seropositivity based on gender and region with p-values (p=0.047 and p=0.038, respectively). On the contrary, there was no significant difference in anti-CHIK IgM based on age. The age group with the most participants was the 21-30 years with 19.3% (16/83), while those with the least participants were those >60 years. The current study
Keyword: Chikungunya, Serosurvey, Sulawesi, Blood donors, ELISA, qRT-PCR.