A Lighting Control System in Buildings based on Fuzzy Logic

Lighting generally consumed 25%-50% of total electricity consumption in a building. Nowadays, the building lighting source is dominated by the use of fluorescent lamps. The previous technical papers by other researchers had focused on power density control of incandescent lamps, which is now rarely used, unconsidered national standard as control reference value, and required a high-cost in investment. By these reasons, this paper proposes a building lighting system based on fuzzy logic scheme to automate fluorescent lamps in order to achieve illumination according to Indonesian National Standard (SNI). The input variables were indoor lighting, inference from outdoor lighting, and occupancy. The output variable was the required illumination to achieve the standard. The required illumination determined the number of lamps that had to be turned on. In the experiment result, a classroom illumination of lighting without controller in workdays was about 350 lux, while with the proposed controller it varied between 250–300 lux close to the SNI, i.e. 250 lux. Meanwhile, with the proposed controller the electricity consumption for a classroom was 75% lower than the lighting without controller.

Aplikasi Sistem Pakar Penentuan Asupan Makanan Bagi Penderita Penyakit Gizi Buruk dengan Inferensi Fuzzy

Asupan(konsumsi) makanan merupakan faktor utama untuk memenuhi kebutuhan gizi yang selanjutnya bertindak menyediakan energi bagi tubuh, mengatur proses metabolisme, memperbaiki jaringan tubuh serta untuk pertumbuhan. Tingkat konsumsi lebih banyak ditentukan oleh kualitas dan kuantitas pangan yang dikonsumsi untuk mencapai keadaan gizi yang baik. Apabila kekurangan zat gizi khususnya energi dan protein menyebabkan berat badan menurun yang disertai produktivitas kerja, apabila kekurangan zat gizi berlanjut menyebabkan status gizi kurang dan gizi buruk. Gizi buruk atau malnutrisi dapat diartikan sebagai asupan gizi yang buruk. Hal ini bisa diakibatkan oleh kurangnya asupan makanan, pemilihan jenis makanan yang tidak tepat ataupun karena sebab lain seperti adanya penyakit infeksi yang menyebabkan kurang terserapnya nutrisi dari makanan. Secara klinis gizi buruk ditandai dengan asupan protein, energi dan nutrisi mikro seperti vitamin yang tidak mencukupi ataupun berlebih sehingga menyebabkan terjadinya gangguan gizi. Penyakit gizi buruk terdiri atas tiga jenis penyakit menurut gejala klinisnya yaitu : gizi buruk marasmus, gizi buruk kwasiorkor, dan marasmus-kwasiorkor. Penanganan yang biasa dilakukan seorang pakar yaitu mengusulkan untuk pengaturan pola makan, termasuk jenis dan jumlah makanan. Maka dari itu penelitian ini bertujuan untuk membangun sebuah system pakar yang dapat digunakan untuk menentukan gangguan gizi dan jenis penyakit gizi buruk serta solusi asupan makananya.Subjek pada penelitian ini adalah “Aplikasi sistem pakar untuk penentuan asupan makanan bagi penderita penyakit gizi buruk”. Pada penelitian ini penelusuran faktanya menggunakan forward chaining dan logika yang digunakan adalah system inferensi fuzzy metode Tsukamoto. Tahap pengembangan aplikasi diawali dengan analisis data, perancangan system, pengkodean (Coding) dengan menggunakan Visual Basic 6.0 dan Testing (pengujian system dengan Black BoxTest dan Alfa Test).Dari hasil penelitian ini dihasilkan perangkat lunak yang mampu menentukan status gangguan gizi dan jenis penyakit gizi buruk beserta solusi asupan makananya. Berdasarkan pengujian yang telah dilakukan terhadap responden telah layak untuk digunakan

Sistem Inferensi Fuzzy Untuk Memprediksi Prestasi Belajar Mahasiswa Berdasarkan Nilai Ujian Nasional, Tes Potensi Akademik, Dan Motivasi Belajar

Predictions based on student learning achievement motivation levels, interests, and student discipline in following lectures using fuzzy logic applications have been made. This study is a follow-up of research prediction student learning achievement based on the value of the test of academic potential, NEM, and motivational learning using fuzzy inference system Mamdani method. This research is a study of the development of computer software with data inputs in the form of value of the test of academic potential, national exam score, and levels of learning motivation, and generate output in the form of student achievement results prediction (GPA). The programming language used is MATLAB version 7.0. The Data is taken from the sample as many as 216 students i.e. students of Informatic Engineering of Engineering Faculty. Data retrieval method used is the question form and documentation. Question form method used to obtain data on students' learning motivation levels, while the method of documentation used to obtain the data value of the test of academic potential score, national exam score, and GPA up to semester gasal 2011/2012. Steps of system development through stages of fuzzyfication, inference, and the determination of output. The results of this study showed that the use of applications of fuzzy logic with Mamdani fuzzy inference method can be predicted students learning achievement based on the value of test of academic potential score, national exam score, and motivation levels. This system is engineered visually, so users can use it just by doing a drag on its visual images. Based on a regression analysis that was done, the three input variables have an influence on the learning achievements of students, so that the student is expected to increase the motivation of their learning to achieve learning achievements (GPA

Aplikasi Sistem Pakar Untuk Mendiagnosa Kerusakan Monitor CRT

This research aims to design up a program of expert system to diagnose the damage of CRT monitor (Cathode Ray Tube) with a solution of repair. This system using knowledge base rules and decision table as its knowledge representation. The programming language in use is Visual Basic 6.0. Research results is a system with consulting, addition of a base rule, and increased knowledge menus. This expert system application is able to diagnose damage to CRT monitor also provides solutions in fixe

Heavy Minerals In Placer Deposit In Singkawang Waters, West Kalimantan, Related To Felsic Source Rock Of Its Coastal Area

Placer deposits are physically accumulated by fluvial and marine processes in coastal area. Thirty six samples were selected from seventy seven samples of seafloor sediment of Singkawang waters. Those samples have been analyzed microscopically for heavy mineral contents. Based on this analysis, the heavy minerals can be divided into four groups: oxyde and hydroxyde, silicate, sulphide, and carbonate. The source of most heavy minerals in the study area is commonly formed by Felsic igneous rock and finally deposited on the seafloor sediments. Keywords: heavy minerals, placer deposit, felsic igneous rock, Singkawang Endapan letakan secara fisik umumnya terakumulasi oleh proses sungai dan laut. Sebanyak 36 contoh dipilih dari 77 contoh sedimen permukaan dasar laut di Perairan Singkawang. Contoh tersebut telah dilakukan analisis kandungan mineral berat secara mikroskopis. Berdasarkan hasil analisis mineral berat ini dapat dibedakan menjadi empat kelompok yaitu oksida dan hidroksida, silikat, sulfida, dan karbonat. Sebagian besar sumber mineral berat di daerah penelitian pada umumnya berasal dari batuan beku felsik yang akhirnya diendapkan di permukaan dasar laut. Kata kunci: mineral berat, endapan letakan, batuan beku felsik, Singkawang