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Penelitian ini dilakukan dengan menggunakan metode statistik korelasi untuk menentukan apakah variabel lain, yaitu pengembangan kepribadian dan pemberdayaan guru, memiliki hubungan positif dengan komitmen guru terhadap profesi. Berdasarkan hasil ini, analisis dilakukan menggunakan Metode Sitorem untuk membuat rekomendasi dan menentukan urutan prioritas perbaikan yang perlu dibuat. Penelitian dilakukan pada Guru Honor Sekolah Dasar di Kecamatan Bogor Selatan, Kota Bogor dengan populasi penelitian 173 guru dan sampel 121 guru. Hasil penelitian menunjukkan bahwa ada hubungan positif antara pengembangan kepribadian dan komitmen guru terhadap profesi dengan kekuatan hubungan ry1 = 0,686 dan ada hubungan positif antara pemberdayaan guru dan komitmen guru dengan profesi dengan kekuatan hubungan ry2 = 0,651 . Ini menunjukkan bahwa komitmen guru terhadap profesi dapat ditingkatkan melalui pengembangan kepribadian dan dari komponen pemberdayaan guru itu sendiri. Hasil Analisis Sitorem menunjukkan bahwa komponen pengembangan kepribadian, pemberdayaan guru dan komitmen guru untuk profesi menemukan 6 indikator yang terdefinisi dengan baik dan dipertahankan yaitu: 1) Kesadaran, 2) Kecemasan, 3) Pembimbingan Guru, 4) Keterlibatan perasaan, 5) Dorongan berkarir, dan 6) Penerimaan nilai organisasi . Sementara komponen yang perlu ditingkatkan adalah 10 komponen dalam urutan perbaikan prioritas sebagai berikut: 1) Kepatuhan, 2) Keterbukaan, 3) Keramahan, 4) Peningkatan kemampuan guru, 5) Pemotivasian dan dukungan, 6) Penyediaan fasilitas, 7) Kerjasama, 8) Keyakinan pada profesi, 9) Kewajiban terhadap profesi, 10) Perhitungan biaya alih/efek profesi. Kata Kunci: Komitmen Guru Terhadap profesi, Pengembangan Keprbadian, Pemberdayaan Guru, Analisis Sitorem..

This research aimed to determine the positive correlation of situational leadership and self-efficacy with the improvement of teacher work productivity. The quantitative method with correlation analysis were employed, furthermore the Scientific Identification Theory to Conduct Operation Research in Education Management (SITOREM) was applied to determine the priorities. The population includes all the elementary school teachers which are civil servants (PNS) in Bogor, Indonesia while 105 were selected as samples. The findings showed there is a positive correlation between situational leadership and teacher work productivity with a correlation coefficient of 0.783, and between self-efficacy and teacher work productivity with 0.782. This, therefore, means these two factors are influential in increasing the productivity of teachers. The novelty of this research was the use of SITOREM to highlight 7 indicators prioritized to be improved including leader behavior, delegation, direction, teacher achievement, facility use, efficiency, and managerial ability.

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Placing the components into a container that is normally known as layout optimization problem belongs to NP-hard Keywords: layout optimization, genetic algorithm, microsatelliteCopyright © 2017 Universitas Ahmad Dahlan. All rights reserved. IntroductionThe problem in making a layout solution is commonly known as a layout optimization problem (LOP), which leads to the non-deterministic polynomial-time hard (NP-hard) in term of computational complexity. LOP is commonly used in engineering applications that pay attention to the physical placement of an instrument or device into a container [1]. Layout optimization is one of the key techniques to improve the performance of a satellite due to a direct impact on the structure, lifetime, cost of assembly, and maintenance of the overall system. Harmonious and reasonable layout is an essential property for the success of the satellite's mission [2]. The layout becomes very critical for microsatellites since it has limitation in space and weight.As part of the configuration synthesis, the layout of the satellite components should consider the design drivers, attitude control requirements and the allocation of satellite mass and inertia [3]. The design is generally driven by a mission payload and spacecraft launcher. So the research question is how to produce the optimal layout of satellite components that match the requirements of mission payloads, launcher and spacecraft attitude control.One of the common algorithms to solve the LOP is a genetic algorithm (GA). Shoukun, et al [4] Distinguishes LOP settlement using GA into two methods. The first method is based on the coordinates of the object with a binary or decimal encoding while the second method is based on the order of placement. According simulations and design experiences, the first method often requires a complicated design of fitness function and may be easily trapped in local optimum solution.The second method combines GA with other algorithms to generate patterns of the placement that overcomes the shortcomings of the first method. GA explores the order of placement to produce the best solution based on a predefined placement algorithm. Recent research generally uses this second method [5][6][7][8][9][10]. Xu, et al [5] combines the order-based positioning technique (OPT) and GA to obtain the optimal layout of the satellite components. For n ccomponents, there exist n! = n × (n − 1) × · · · × 2 × 1 sequences. A genetic algorithm is