BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer
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Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Certainty Factor
Full text linkThe lack of knowledge of farmers and the unequal counseling about onion diseasefrom experts is a strong reason for the difficulty of overcoming or immediately treateddiseases of onions, for this requires early diagnosis of disease onion plants. Thisresearch uses the Certainty Factor method. This method uses the certainty of an experton the symptoms of each disease. By determining the value of MB (Measure ofBelieve) as the level of confidence in the hypothesis and MD (Measure of Disbelieve)the level of distrust of the hypothesis. After using the Certainty Factor formula, thevalue of each disease will be generated from the new symptoms owned by using thehighest value of each disease, so that is the result of disease diagnosis in shallots. Thisstudy uses as many as 35 data as testing and from these data obtained an accuracyvalue of 85.71
Perbandingan Metode Double Exponential Smoothing dan Least Square untuk Sistem Prediksi Hasil Produksi Teh
Full text linkTea is one of the mainstay commodities of Indonesian plantation. In order to meet market demand, it is necessary to plan the right production needs, so that the amount of production capacity and market demand is balanced. To meet the needs of the right production requires good planning. The way that can be done is by making predictions. In this study, the prediction of tea production was carried out using the Double Exponential Smothing and Least Square methods. From the test results, it was found that the MAPE value of the Double Exponential Smoothing method, the most optimal α value is α 0.1 with a MAPE value of 18.084% and for the Least Square method the MAPE value is 17.008%
Sistem Web Pendukung Keputusan Calon Penerima Bantuan Mandi Cuci Kakus di Kabupaten Banyuwangi
Full text linkVillage community especially Banyuwangi District is still many who have BWT (Bath Wash Toilet) but do not meet the standard. Such as the absence of buildings in accordance with the quality of construction that meet the needs of society. Waste water and bath rooms are disposed of in residential environments. The Government of the Public Works Department has given attention in addressing this issue through the development assistance of BWT. But in selecting the candidate beneficiaries the election process is still done conventionally. The Decision Support System (DSS) was built to help make it easier to determine the prospective beneficiaries of BWT. There are seven eligibility criteria used to assess prospective beneficiaries. Self-Connection House (CH), monthly dues per family, land contributions, population density level per hectare, individual septic tank ownership, shallow well water quality, kitchen waste water disposal and bathrooms. DSS is processed using Simple Additive Weighting (SAW) method calculation. The SAW method is capable of precise assessment. The calculation of the SAW method is based on the criteria value and the specified preference weight. On the system, there are 8 village data used to test the system process. The highest village Data became the beneficiary village of BWT. Based on the overall level of software quality can be concluded that the level of information system quality in the criteria is very good with a percentage of 94%
Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means
Full text linkThere are many methods used in resolving data clustering. One of them is the Fuzzy C-Means (FCM) method, which is a reliable method to solve clustering problems in the East Java region. This study aims to determine the optimum cluster in the East Java region which can help the government to identify problems and assist policymaking in regencies/cities in East Java province. The research process uses data from the central statistical agency, namely the unemployment rate and poverty rate from 2010 to 2015. In this study, the Davies Bouldin Index (DBI) is used as a cluster validation test for determining the optimum cluster. Unemployment rate and poverty rate data were analyzed using RStudio. From the calculation of the FCM method and also the determination of the optimum cluster results obtained in 2 clusters with a DBI value of 1.2759, 3 clusters with a DBI value of 0.9937, 4 clusters with a DBI value of 0.8737. The optimum cluster is in 4 clusters with a minimum DBI value
Penerapan Wireless Distribution System (WDS) Mesh Untuk Optimasi Cakupan Area Wi-Fi di UM Jember
Full text linkOne very rapid change in computer networks is the use of Wireless Local Area Network (WLAN) to access systems both locally and the internet. One way to add an Access Point (AP) so as not to change the configuration of the running software is use the Wireless Distribution System Mesh (WDS) network. The use of WDS mesh at Universitas Muhammmadiyah Jember (UM Jember) enables a slightly different wireless configuration to reduce the connection loss in the user due to the wireless network area coverage. One step is use AP devices into one unit to handle the case of a connection break by utilizing a network service that is WDS Mesh. WDS Mesh can cover Wi-Fi areas at UM Jember, and the results of testing and analysis of client devices for APs that have been configured WDS Mesh with parameters Signal Strength, CCQ, Signal to Noise Ratio Ratio, Throughput is Excellent