The research conducted on UMKM commercial sector which aims to determine how much the contribution of the Balanced Scorecard (BSC) implementation by using four perspectives: financial, customer, internal business process and learning and growth. The concept Balanced Scorecard is deemed in accordance with the consideration that the concept is able to balance short-term plan with long-term plans, as well as to balance financial performance with the performance of non-financial. In addition, The benefits from this research is that companies have an appropriate business strategy and work program that can face of such change, enabling it to maintain and expand its business in the future in accordance with the vision and mission.By using these research techniques, application of the BSC through four perspectives can contribute significantly to the company's performance. This is indicate that UMKM oriented continuously on efforts to maintain customer satisfaction to earn the trust of the quality of the product followed by their support productive and committed employees who will be able to deliver products / services efficiently, consistent and timely with using technology information that have an impact on the organization's ability to generate adequate financial returns. Penelitian yang dilakukan pada sektor komersial UMKM yang bertujuan untuk mengetahui seberapa besar kontribusi penerapan Balanced Scorecard (BSC) dengan menggunakan empat perspektif: keuangan, pelanggan, proses bisnis internal dan pembelajaran dan pertumbuhan. Konsep Balanced Scorecard dianggap sesuai dengan pertimbangan bahwa konsep ini mampu menyeimbangkan rencana jangka pendek dengan rencana jangka panjang, serta menyeimbangkan kinerja keuangan dengan kinerja non-keuangan. Selain itu, Manfaat dari penelitian ini adalah bahwa perusahaan memiliki strategi bisnis yang tepat dan program kerja yang dapat menghadapi perubahan tersebut, memungkinkan untuk mempertahankan dan memperluas bisnisnya di masa depan sesuai dengan visi dan misi. Dengan menggunakan teknik penelitian ini , penerapan BSC melalui empat perspektif dapat memberikan kontribusi signifikan terhadap kinerja perusahaan. Hal ini menunjukkan bahwa UMKM berorientasi terus menerus pada upaya mempertahankan kepuasan pelanggan untuk mendapatkan kepercayaan dari kualitas produk diikuti dengan dukungan mereka yang produktif dan berkomitmen karyawan yang akan mampu memberikan produk / jasa secara efisien, konsisten dan tepat waktu dengan menggunakan teknologi informasi yang berdampak pada kemampuan organisasi untuk menghasilkan pengembalian keuangan yang memadai.

The main objective of this project is to investigate the performance conventional method of perturb and observe (P&O) and soft computing techniques (fuzzy logic and adaptive neuro-fuzzy inference system) of maximum power point tracking (MPPT) for photovoltaic (PV) module. In this paper, the MSX-64 PV module and boost DC-DC converter are used for simulation and modeling the MPPT system. This work demonstrates the performance of those three types of MPPT techniques, which subjected to a partial shading pattern as well as a non-shaded and shaded of real weather profile. These MPPT techniques are compare in terms of power extracted, MPPT efficiency, rise time, its ability to track global maximum power point (MPP), and the response to varied weather. Simulation results of soft computing MPPT techniques have shown the ability to track the MPP during partial shading conditions and the response to weather changes when nonshaded real weather profile applied to the system. The performance of the conventional P&O based MPPT has depicted the failure of this controller to track the global MPP during partial shading and lack response to real weather changes. The proposed system has simulated using MATLAB SIMULINK.

Happiness is an ideal condition needed by everyone. In the real life, happiness comes not only from the harmony in the home but also from the exciting environment or atmosphere outside the home, such as impulse buying. When someone makes impulse buying, she could feel the happiness because she gets something she wants. This means that when someone makes a purchase, she will experience happiness. This study aimed to examine the variables that affect impulse buying which may also affect the happiness. It is assumed that the experience and the pleasant shopping atmosphere affect the impulse buying and, as a result, the impulse buying affects happiness. The samples in this study were 150 women making purchases of fashion products at malls in Surabaya. The hypothesis testing was conducted by using Structural Equation Modelling. The test results indicated the hypothesis 1 stating that the experiential marketing influenced the impulse buying and hypothesis 2 stating that the shopping enjoyment affected the impulse buying were accepted. Further, hypothesis 3 were also accepted, stating that the impulse buying influenced happiness.

Among many existing motivational theories, perhaps Maslow's Hierarchy of Needs Theories are widely known. This theory passes a message to us that once a person passes a certain level of need, he is no longer motivated by the level of motivation below. This provides an understanding that a manager or leader or motivator in the organization should know what is needed by subordinates. The need of a daily production worker with staff of managerial staff is different. To provide motivation that can improve performance to both, a motivator must provide different treatment according to their needs.

<div>This project investigates the use of face recognition for a surveillance system. The normal video surveillance system uses in closed-circuit television (CCTV) to record video for security purpose. It is used to identify the identity of a person through their appearances on the recorded video, manually. Today’s video surveillance camera system usually not occupied with a face recognition system. With some modification, a surveillance camera system can be used as face detection and recognition that can be done in real-time. The proposed system makes use of surveillance camera system that can identify the identity of a person automatically by using face recognition of Haar cascade classifier. The hardware used for this project were Raspberry Pi as a processor and Pi Camera as a camera module. The development of this project consist of three main phases which were data gathering, training recognizer, and face recognition process. All three phases have been executed using Python programming and OpenCV library, which have been performed in a Raspbian operation system. From the result, the proposed system successfully displays the output result of human face recognition, with facial angle within ±40°, in medium and normal light condition, and within a distance of 0.4 to 1.2 meter. Targeted image are allowed to wear face accessory as long as not covering the face structure. In conclusion, this system considered, can reduce the cost of manpower in order to identify the identity of a person in real time situation.</div>