Judul: Analisis biaya produksi papan sambung di PT bumi mahaphala wilasa Parungkuda-Sukabumi
Abstrak: Penelitian ini bertujuan untuk mempelajari proses propapan sambung dalam kaitannya dengan faktor-faktor duksi yang mempengaruhi biaya produksi, menganalisis struktur biaya produksi papan sambung berdasarkan keadaan perusahaan, mengetahui tingkat Break Even Point (BEP) pada sistem produksi PT Bumi Mahaphala Wilasa, mengetahui tingkat efisiensi dan produktivitas pada masing-masing proses produksi yang dicapai oleh perusahaan. Dari hasil perhitungan bulan Maret 1991 didapatkan biaya total produksi papan sambung di PT Bumi Mahapahala Wilasa sebesar Rp 251,445,580,- atau Rp 683,045,-/M³, dengan perincian sebagai berikut : a. Biaya tetap Rp 67,408,549,- atau Rp 683,045,-/M³ b. Biaya variabel Rp 184,037,031, atau Rp 499,932,-/M³ Berdasarkan analisis Break Even Point (BEP), maka peru- sahaan akan mendapatkan keuntungan bila memproduksi papan sambung lebih dari 307.2816 M³/bulan atau 3,687.4023 M³/tahun. PT Bumi Mahaphala Wilasa telah menghasilkan papan sambung melebihi tingkat Break Even Point (BEP), yaitu sebesar 368.1242 M³/bulan atau 4,417.4904 M³/tahun. Nilai tambah yang diperoleh perusahaan dengan memproduksi papan sambung pada bulan Maret 1991 adalah sebesar ..dst
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Judul: Analisis Biaya Produksi Papan Partikel: Studi Kasus di PT. Paparti Pertama Kabupaten Sukabumi Jawa Barat
Abstrak: A policy in determining the main price of the particle board is strongly influenced by the cost of production. The purpose of this study was to analyze the cost of production of particle board business in PT. Paparti Pertama to determine the extent to which companies make a profit. Three things are needed in this analysis is the value of production costs include fixed costs and variable costs, the value of Break Even Point (BEP), and the value of Return on Investment (ROI). Based on analysis study, production cost for every comodity is around Rp 1.689.398 to Rp 1.721.434 per meter cubic, with fix cost (29.25%) and variable cost (70,75%). Value of Break Event Point (BEP) 93,11 m3 per month and the value of Return on Investment (ROI) 9,29%. Based on the results of this analysis indicate that the company has the ability to earn greater profits than investment in the form of deposit.
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Judul: Aplikasi Mobile untuk Identifikasi Emosi Manusia Berbasis Teks pada Jejaring Sosial Twitter dengan Klasifikasi Decision Tree
Abstrak: Humans are social beings that need to communicate with others. Humans in communication often reveal emotions either directly or indirectly. Awareness of people’s emotions when communicating is one of the reasons of emotion recognition. Emotion recognitions divided into 3 categories, namely physiological signals, facial expressions, and voice. However the existing method has limitations in use or cost. A potential solution is affective computing, which can recognize emotion through typing patterns by collecting and analyzing user behavior and context from touchscreen, accelerometer, and GPS on the smartphone. This method was implemented as an Android app on Twitter social networking service. This research used decision tree classification method to identify 7 types of emotions i.e. happiness, surprise, anger, disgust, sadness, fear, and neutral by using 10 features. The data used in this study consisted 300 datasets. The highest accuracy in the research produced 44%.
Keyword: emotion recognition, decision tree, affective computing