Pollux Properti Indonesia merupakan pengembang proyek properti, termasuk pengembang, investasi, perdagangan, dan jasap enyewaan properti. Sistem penagihan yang ada masih dilakukan secara manual, yaitudengan sms dan telepon secara manual. Hal in imembutuhkan sumberdaya yang banyak dan kurang efisien dalam waktu, disamping pembayaran tagihan masih menggunakan satu fix virtual account sehingga kurang fleksibel bagi pelanggan untuk melakukan pembayaran. Pada penelitian ini, menghasilkan aplikasi berbasis web sistem informasi transaksi tagihan layanan purna jual, dengan menggunakan framework laravel. Metode yang digunakan dalam  mengembangkan software adalah waterfall, dimana metode ini dimulai dari analisa kebutuhan, desain sistem dan software, coding, testing, dan implementasi. Hasil dari penelitian ini ialah dengan diimplementasikannya aplikasi sistem yang telah dibuat pada PT. Pollux Properti Indonesia, sebagai sarana penagihan dan pembayaran yang berjalan secara otomatis, serta memudahkan pengembang untuk menagih, pembayaran, serta melakukan pemeriksaan pembayaran yang masuk. Serta memudahkan pelanggan dalam membayar tagihan dan memeriksa riwayat transaksi yang telah dilakukan.

AbstrakMemasuki era Masyarakat Ekonomi Asean (MEA) diperlukan calon guru yang berkualitas agar mampu menyiapkan generasi yang dapat bersaing secara global. Salah satu kemampuan yang harus dimiliki seorang calon guru adalah kemampuan berpikir kritis matematis. Sebuah penelitian menyimpulkan bahwa kemampuan berpikir kritis dipengaruhi oleh kepercayaan diri. Penelitian ini bertujuan untuk mendeskripsikan kemampuan berpikir kritis matematis mahasiswa Pendidikan Metematika FKIP UKSW ditinjau dari tingkat kepercayaan diri. Jenis penelitian ini adalah deskriptif kualitatif. Subjek penelitian merupakan mahasiswa Pendidikan Matematika FKIP UKSW yang diambil berdasarkan 2 kategori yaitu mahasiswa dengan kepercayaan diri tinggi atau S1 dan mahasiswadengan kepercayaan diri rendah atau S2. Hasil penelitian ini menunjukkan bahwa terdapat perbedaan kemampuan berpikir kritis matematis antara subjek S1 dan subjek S2 dimana subjek S1 memenuhi semua aspek FRISCO (fokus, reason, inference, situasion, clarity, dan overview) sedangkan subjek S2 hanya memenuhi aspek focus, reason, inferencedanclarity. Profil of Student’s Mathematical Critical Thinking in Solving Trigonometry Question Viewed from Self-ConfidenceAbstractEntering the era of the Asean Economic Community (MEA) requires qualified teacher candidates to be able to prepare generations that can compete globally. One of the abilities that a prospective teacher must possess is mathematical critical thinking skills. A study concluded that critical thinking skills are influenced by self-confidence. This study aims to describe the mathematical critical thinking skills of the SWCU FKIP Mathematics Education students in terms of their level of confidence. This type of research is qualitative descriptive. The research subjects were SWCU FKIP Mathematics Education students taken based on 2 categories, namely students with high self-confidence or S1 and students with low self-confidence or S2. The results of this study indicate that there are differences in mathematical critical thinking skills between S1 subjects and S2 subjects where S1 subjects fulfill all aspects of FRISCO (focus, reason, inference, situation, clarity, and overview) while S2 subjects only fulfill focus, reason, inference, and clarity aspects.

The rocket nozzle is a crucial and complicated part of a rocket, primarily for rocket RX320. Its function is to control the exhaust flow, so the rocket gets the maximum possible forward thrust. However, graphite materials are used inside rockets due to good mechanical properties and high melting temperature resistance. This study discussed the effect of post-static rocket fire testing on the mechanical properties of graphite materials and compared them with the technical data sheet (TDS) of its graphite. Mechanical properties testing has been done to determine the average flexural strength value with the flexural test method and the average value of the compressive test. The graphite has an average flexural test value of 40.185 MPa, with an average elastic modulus of 0.656 GPa. Furthermore, the average compressive test of graphite has a value of 67.71 MPa, with an average load of 1,560 N. The mechanical properties trends are slightly decreasing due to post static fire testing compared to TDS. It was around 41.2% for flexural strength and 50.7% for compressive strength.

In developing flow behavior of plasticized prepolymer as liquid content of composite solid propellant, zero shear viscosity (ZSV) is a critical parameter that Goh-Wan equation is developed to model it recently [1]. Thus, this work aims to analyze the compatibility of the Goh-Wan equation toward the liquid content of propellant, characterize it, and determine the limit. In this work, a varied flow behavior index was obtained by using Hydroxy terminated polybutadiene (HTPB) and HTPB-DOA (Dioctyl adipate) system with the variable of its concentration, pre-heating, and pre-stirring methods as samples. Viscosity was measured at 2, 3, 4, and 5 rpm by using the disc spindle of Brookfield viscometer. For the minimum shear-rate investigation, as a limit of compatibility, other three sets of shear rates are applied, which are 0.6 – 5 rpm, 1 – 5 rpm, and 1,5 – 5 rpm. By functioning Goh-Wan equation (model 1) and Power-Law (model 2), a model was categorized as compatible if yields lower value of ZSV than the first experimental measured viscosity (η1st). Characterization was determined by a graph of plotting percentage difference of ZSV obtained from models 1 and 2 towards the index of flow behavior. The 3% of the difference between ZSV obtained from model 1 and  η1st was set to be a minimum value for a set of applied shear-rate to be acceptable. It is reported that the Goh-Wan model is compatible with the liquid content of propellant and characterized by a perfect linear correlation. It is also found that a minimum applied shear rate of 1.5 rpm is acceptable for model compatibility.

Youtube viewer becomes a major factor in a content creator's success. The problem is how can predict the number of viewers of a youtube content to determine the success of a content or make it a trending video topic. A machine or computer can predict the number of viewers using the ANN method. DNN is one of ANN models that can predict a dataset. This study compared the success rate in predicting the number of viewers of youtube content from Youtube API dataset. DNN model prediction results have a higher level of excellence compared to the use of traditional methods Linear Regression and Naive Bayes.