10 research outputs found
NEW EMPLOYEE TEST SYSTEM AT PT. RAJASA MITRAMEDIA USING PHP PROGRAMMING.
No full textIn a company that wants to increase productivity, require quality human resources. Therefore, a company needs a system of effective recruitment in order to get employees - employees who have a high potential and skills. At PT. MITRAMEDIA RAJASA employees receiving system not computerized. This will prevent or reduce the efficiency of recruitment process. Here the author tried to make the recruitment system has been computerized
THE CONSTRUCTIVIST THEORY OF REALITY IN LITERARY RESEARCH
Get PDFAs a sign system, literature is not limited to the imaginative world only. Literature, however, is also a system which involves the author, the work, the reader, and the field of knowledge (society).
Although the facts presented tend to be mental facts, it does not mean that facts in literature cannot be seen as data about the existing social reality. Referring to literature as a sign system, which stresses the mimetic and creative aspects, literature as a construction can be seen as the reflection of reality with two dimensions, subjective and objective. Therefore, the assumption that facts in literature are not the reflections of reality cannot be accepted.
Based on the framework of semiotic thinking which emphasizes literature as a sign system, the social dimension could be applied in literary approaches, one of them is the constructivist theory of reality by Berger and Luckman.
Through the constructivist theory of reality, literature can be analyzed as the reflections of subjective and objective realities. In other words, literary approach can be directed from literature as the product and its author
The English Borrowings and the Indonesian-English Codeswitching in Two Collections of Blog Short-Stories
Get PDFIf one has ever read fiction works by prominent Indonesian authors from 1920‟s Abdul Muis, and Marah Rusli, 1930‟s Sutan Takdir Alisjahbana and Armijn Pane, 1945‟s Chairil Anwar and Achdiat K. Mihardja, 1950-1960‟s Pramoedya Ananta Toer, W. S. Rendra, and N. H. Dini, 1960-1970‟s Taufik Ismail, Goenawan Moehammad, and Sapardi Djoko Darmono, and compared their work with those of the 1990‟s Hilman Sriwijaya and Ayu Utami, and the 2000‟s Hirata, one must have found many differences among the works. More obvious distinction will be discovered if all of the works previously mentioned are contrasted with those of 2000‟s teen writers like Arunita, Mentari, Andries, and recently Dika, especially in terms of style and vocabulary. The most recent teen fictions have employed much colloquial Indonesian or Malay-Betawi dialect (Djenar, 2008), and English lexical items. This study shows that in Dika‟s blog short-stories alone, English borrowings and Indonesian-English code-switching were commonly found. English seems to be the third language after the colloquial and standard Indonesian with which the author think
SYSTEM ACCEPTANCE OF STUDENT LEARNING IN MENTORING COURSE COMPUTER INSTITUTE GLOBAL EDUCATION CENTER (GEC) APPLICATIONS USING VISUAL BASIC 6.0
No full textAdmission tutoring students in this course more institutions ease of recording, toimprove accuracy and reduce the small error possible in the activities of theadmissions process. Save time in obtain information about the collection of studentdata reception classes primarily smooth running of teaching and learning. Providinginformation such as monthly reports about the amount of increase or not the numberof students to the leadership. And the analysis, it appeared that the New RegistrationSystem at MENTORING COURSE LEARNING IN INSTITUTIONS GlobalComputer Education Center (GEC), there is still less efficient the work of theirrespective existing functions. Therefore, there should be a better system and provideeasiness for students and the courses that underway, the author tries to make aninformation system the goal to be able to optimize the running system. And withauthors propose a system that is expected to provide convenience - convenience forstudents and the courses
EXPERIMENTAL STUDY OF LOCAL FLOW AROUND A BRIDGE PIER
No full text橋脚周辺に生じる局所的な深堀れが, 橋脚をとりかこむ形で発生する水平軸をもつ渦によることが既に指摘されている1)。この渦は, それを構成する流体が常に上流側の主流から供給されるという点で, 二次元的な渦(たとえば水路急縮部や段上り部の前面の渦)と性質を異にする。しかし, 渦の機構が三次元的であるためのその定量的な取扱いは非常に困難であり, 現在のところこれといった方法は報告されていない。著者はこのような渦の機構を定量的に把握するために, 境界条件がもっとも簡単であると考えられる平滑な固定床上に設置された1っの橋脚の周辺の渦について乱流・層流の両方の状態の下で詳細な実験を行なって来た2周。本報告は, 水路の中央断面内における二次元的な流れの場を明らかにすることは渦の全体的な機構を知る一つの基準になるという観点から, その平面内の流れについて実験的に検討したものである。すなわち, その平面内の流れを表示する一つのモデルを設定し, そのモデルの中に含まれる諸定数を実験によって決定し, 次にそれらにもとづいて流れのパターンや境界面における流速分布などをとくに渦の近傍について検討した。It has been appointed that the local scour around a bridge pier is due to horse-shoe vorticeswith horizontal axes around the pier. The vortex being three-dimensional, the analytical methodto predict the behavior of it has not been established so far. In this paper, the author tried toanalyse the flow pattern in the central section of the channel by means of the model that supposesa vortex filament and a point sink at the position of the vortex axe. The experimental studyshows that the strength k of the vortex filament and the position of the vortex axe is decided bythe approaching velocity and the ratio between radius of the pier and the water depth respectively.On these results, the position of the separation, the flow pattern and the velocity distribution alongthe water surface, channel bed and the surface of the pier is calculated by the model. Comparisonbetween the analytical results and the experimental ones shows fairly good agreement by theapplopriate choice of k-value.橋脚周辺に生じる局所的な深堀れが,橋脚をとりかこむ形で発生する水平軸をもつ渦によることが既に指摘されている1)。この渦は,それを構成する流体が常に上流側の主流から供給されるという点で,二次元的な渦(たとえば水路急縮部や段上り部の前面の渦)と性質を異にする。しかし,渦の機構が三次元的であるためのその定量的な取扱いは非常に困難であり,現在のところこれといった方法は報告されていない。著者はこのような渦の機構を定量的に把握するために,境界条件がもっとも簡単であると考えられる平滑な固定床上に設置された1っの橋脚の周辺の渦について乱流・層流の両方の状態の下で詳細な実験を行なって来た2周。本報告は,水路の中央断面内における二次元的な流れの場を明らかにすることは渦の全体的な機構を知る一つの基準になるという観点から,その平面内の流れについて実験的に検討したものである。すなわち,その平面内の流れを表示する一つのモデルを設定し,そのモデルの中に含まれる諸定数を実験によって決定し,次にそれらにもとづいて流れのパターンや境界面における流速分布などをとくに渦の近傍について検討した。It has been appointed that the local scour around a bridge pier is due to horse-shoe vorticeswith horizontal axes around the pier. The vortex being three-dimensional, the analytical methodto predict the behavior of it has not been established so far. In this paper, the author tried toanalyse the flow pattern in the central section of the channel by means of the model that supposesa vortex filament and a point sink at the position of the vortex axe. The experimental studyshows that the strength k of the vortex filament and the position of the vortex axe is decided bythe approaching velocity and the ratio between radius of the pier and the water depth respectively.On these results, the position of the separation, the flow pattern and the velocity distribution alongthe water surface, channel bed and the surface of the pier is calculated by the model. Comparisonbetween the analytical results and the experimental ones shows fairly good agreement by theapplopriate choice of k-value
Klasterisasi Tingkat Penjualan pada Startup Panak.id dengan Algoritma K-Means
Get PDFSales data processing is one way for companies to support future decision making. One way to process sales data is to cluster with data mining techniques that are present as a company solution to be able to process sales data that is owned by carrying out processes that generate new knowledge. Knowledge obtained from owned data is commonly referred to as Knowledge Discovery in Database (KDD) which consists of steps such as; data selection, data cleaning, pattern search (data mining), and interpretation. In this study, the author will discuss data mining techniques and applications using the K-Means algorithm which is applied in the Python programming language. The research was conducted at the startup company Panak.id by accessing data on sales of processed livestock products for the period July 2021 – July 2022. The results showed that the level of product sales was dominated by products that were in the less-selling category. This shows that of the many types of products offered by Panak.id, there are still many products that are of little interest to the public. From this knowledge, the company can make decisions related to sales strategies and innovations in products that are not in demand with the hope of further increasing sales. In addition, the company can also use this knowledge as a prediction in terms of stock control so that products that are not selling well can be monitored more closely to avoid stock buildup in warehouses.Pengolahan data penjualan merupakan salah satu cara bagi perusahaan dalam menunjang pengambilan keputusan ke depannya. Salah satu cara mengolah data penjualan yaitu melakukan klasterisasi dengan teknik data mining yang hadir sebagai solusi perusahan untuk bisa mengolah data penjualan yang dimiliki dengan melakukan proses yang menghasilkan pengetahuan baru. Pengetahuan yang didapatkan dari data-data yang dimiliki biasa disebut sebagai Knowledge Discovery in Database (KDD) yang terdiri dari langkah-langkah seperti; pemilihan data, pembersihan data, pencarian pola (data mining), dan interpretasi. Pada penelitian ini, penulis akan membahas teknik dan aplikasi data mining menggunakan algoritma K-Means yang diaplikasikasikan dengan bahasa pemrograman Python. Penelitian dilakukan di perusahaan startup Panak.id dengan mengakses data penjualan produk olahan ternak pada periode Juli 2021 – Juli 2022. Hasil penelitian menunjukkan tingkat penjualan produk didominasi oleh produk-produk yang masuk ke dalam kategori kurang laris. Hal ini menunjukkan bahwa dari banyaknya jenis produk yang ditawarkan oleh Panak.id, masih banyak produk yang kurang diminati oleh masyarakat. Dari pengetahuan tersebut, pihak perusahaan dapat mengambil keputusan terkait strategi penjualan maupun inovasi pada produk-produk yang kurang laris dengan harapan dapat lebih meningkatkan penjualan. Selain itu, pihak perusahaan juga dapat menjadikan pengetahuan ini sebagai prediksi dalam hal pengontrolan stok agar produk-produk yang kurang laku dapat lebih terawasi produksinya untuk menghindari penumpukan stok di gudang
COMPARATION OF CLASSIFICATION ALGORITHM ON SENTIMENT ANALYSIS OF ONLINE LEARNING REVIEWS AND DISTANCE EDUCATION
Get PDFAs of January 27, 2021, confirmed cases of COVID-19 nationally stood at 1,024,298 people, this data is data that has been officially announced by the Indonesian Ministry of Health. Meanwhile, in Jakarta, there are 256,416 confirmed cases of COVID-19. In July 2021, there was a very significant increase, seeing the data caused the Central government to make a decision to continue the Large-Scale Social Restrictions (PSBB), followed by the Enforcement of Restrictions on Community Activities (PPKM), which affected all aspects, especially the education aspect. In the education aspect, the government applies distance and online learning. Of course, many people agree or disagree with this decision, because there must be sacrifices, both in terms of time and cost. Seeing these conditions makes the authors interested in discussing and processing public opinions on distance and online learning systems which certainly have positive and negative responses from learning implementers, to process the data the author uses Data Mining, namely using the Text Mining Classification method with several The classification algorithms are the Naïve Bayes Algorithm (NB), the k-Nearest Neighbor (k-NN) Algorithm and the Support Vector Machine (SVM) Algorithm to see which classification algorithm has the highest accuracy and diagnostic value in processing this opinion. After the calculations are done, the algorithm that is more suitable for analyzing reviews or opinions in this study is to use the Support Vector Machine (SVM) classification algorithm with the highest accuracy value of 87.67% and an AUC value of 0.939 with an Excellent Classification diagnostic level
Heart Rate Monitoring Application Using Max30102 Sensor and Gaussian Naive Bayes Algorithm
No full textKesehatan jantung penting karena faktor utama penyebab kematian di Indonesia, terutama di kalangan lansia. Namun lansia tidak rutin dipantau karena Pos Kesehatan Terpadu (Posyandu) Ngudi Makmur tidak memiliki akses pemeriksaan detak jantung. Penulis menyarankan solusi untuk masalah ini, yaitu aplikasi monitoring detak jantung dengan sensor max30102 untuk memonitoring detak jantung menggunakan algoritma gaussian naive bayes yang diharapkan mampu membantu pemeriksaan detak jantung pada lansia di Posyandu Ngudi Makmur. Aplikasi ini memungkinkan pemantauan detak jantung secara terus menerus. Guna menjamin kelancaran proses pengembangan, teknik pengujian black box digunakan untuk pengujian fungsional aplikasi. Secara fungsionalitas, aplikasi ini telah sesuai dengan yang diharapkan oleh penulis. Selain itu, penulis mengembangkan perangkat untuk mengukur detak jantung menggunakan sensor max30102. Akurasi sebesar 95,8% ditemukan pada hasil kalibrasi perangkat yang digunakan, sedangkan pengujian algoritma gaussian naive bayes menggunakan metode k-fold cross validation menunjukkan akurasi sebesar 91%. Diharapkan para lansia di Posyandu Ngudi Makmur dapat lebih rutin memeriksa kesehatan jantung mereka.Heart health is important as it is the leading cause of death in Indonesia, especially among the elderly. However, the elderly is not routinely monitored because the Integrated Health Post Ngudi Makmur does not have access to heart rate checks. The author suggests a solution to this problem, namely a heart rate monitoring application with a max30102 sensor to monitor heart rate using the gaussian naive bayes algorithm which is expected to be able to help check heart rate in the elderly at Integrated Health Post Ngudi Makmur. This application allows continuous monitoring of heart rate. To ensure a smooth development process, black box testing techniques are used for functional testing of the application. Functionally, this application has been in accordance with the expectations of the author. In addition, the authors developed a device to measure heart rate using a max30102 sensor. An accuracy of 95.8% was found in the calibration results of the device used, while testing the gaussian naive bayes algorithm using the k-fold cross validation method showed an accuracy of 91%. It is hoped that the elderly at Integrated Health Post Ngudi Makmur can more regularly check their heart health
Hubungan Infeksi Parasit Usus dengan Pengetahuan Perilaku Hidup Bersih Sehat pada Anak SD Bekasi, 2012
No full textInfeksi parasit usus dapat mengganggu tumbuh kembang anak dan mempengaruhi kualitas hidup. Tujuan penelitian ini adalah mengetahui prevalensi infeksi parasit usus pada anak sekolahdasar di Bekasi pada tahun 2012 dan hubungannya dengan tingkat pengetahuan tentang perilakuhidup bersih sehat (PHBS). Penelitian cross sectional ini dilakukan di sekolah dasar negri (SDN)dan madrasah ibtidaiyah (MI) di Bekasi. Data diambil pada bulan April 2012 dengan menggunakankuesioner yang berisi pertanyaan mengenai PHBS dan pemeriksaan feses. Semua murid kelas 3, 4,5, dan 6 yang hadir dijadikan subjek penelitian. Dari 130 sampel feses, 64,6% positif terinfeksi parasitusus yaitu B.hominis (43,1%), E. coli (3,1%), G. lamblia (3,1%), H. nana (2,3%), infeksi campur B.hominis dan E. coli (3,1%), B. hominis dan G. lamblia (8,5%), B. hominis dan T. trichiura (0,8%), B.hominis, E. coli, T. trichiura dan H. nana (0,8%). Hanya 3 subjek (2,3%) yang memiliki pengetahuanbaik mengenai PHBS sedangkan 72 subjek (55,4%) berpengetahuan sedang dan 55 subjek (42,3%)memiliki pengetahuan kurang. Uji chi square menunjukkan perbedaan bermakna (p=0,043) sehinggadisimpulkan infeksi parasit usus berhubungan dengan tingkat pengetahuan PHBS. Kata Kunci: infeksi parasit usus, pengetahuan PHBS, anak sekolah dasar The Prevalence of Intestinal Parasitic Infection among Primary School Childrenin Bekasi, 2012 and its Associationwith Knowledge about Clean and Healthy Behaviour Abstract Intestinal parasitic infection can interfere children’s growth and development which will affect their quality of life. The purpose of this research is to find out the prevalence of intestinal parasitic infectionamong primary school children in Bekasi in 2012 and its association with knowledge level about cleanand healthy living behaviour (PHBS). This cross sectional study was conducted in primary school(SDN) and Islamic primary school in Bekasi (MI). Data was obtained on April 2012 using questionnaireconsisted of questions about PHBS and stool examination. All students grade 3,4,5 and 6 were involvedin this study. Out of 130 stool samples, 64,6% samples were infected by intestinal parasite as follows:B.hominis (43,1%), E. coli (3,1%), G. lamblia (3,1%), H. nana (2,3%), mix infection B. hominis and E.coli (3,1%), B. hominis and G. lamblia (8,5%), B. hominis and T. trichiura (0,8%), B. hominis, E. coli,T. trichiura and H. nana (0,8%). Only 3 respondents (2,3%) have good PHBS knowledge while 72respondents (55,4%) have moderate PHBS knowledge and 55 respondents (42,3%) have poor PHBSknowledge. Chi square test shows significant difference (p=0,043) therefore it is summed that intestinalparasitic infection relates with level of PHBS knowledge. Keywords: intestinal parasitic infection, PHBS knowledge, primary school childre
