Beasiswa merupakan salah satu upaya yang dilakukan pemerintah dalam mendorong dan membantu potensi kemajuan pendidikan di negara Indonesia, salah satunya adalah beasiswa Peningkatan Prestasi Akademik(PPA) sehingga diperlukan seleksi penerima beasiswa untuk menentukan penerima beasiswa yang sesuai dengan kriteria penilaian. Permasalahan seleksi beasiswa termasuk kedalam permasalahan Multi Attribute Decision Making (MADM). Penelitian ini menganalisis masalah MADM yaitu pemberian beasiswa dengan menggunakan kombinasi metode Analytical Hierarchy Process (AHP), Simple Additive Weighting(SAW) dan model pemberian bobot Rank Order Centroid(ROC). Pengujian metode yang sesuai dilakukan dengan melakukan analisis sensitivitas untuk mengetahui kombinasi metode yang paling sensitif dalam menghasilkan perankingan akhir penerima beasiswa. Dari hasil pengujian analisis sensitivitas kombinasi ROC-SAW menghasilkan nilai sensitivitas terkecil dengan nilai 0.000144, dan dari 18 percobaan perubahan bobot yang dilakukan untuk mengetahui perubahan ranking hasil akhir didapatkan hasil bahwa metode AHP-SAW menghasilkan perubahan ranking dengan persentase 80,56% dari ranking awal, dan ROC-SAW menghasilkan perubahan ranking dengan persentase 90,83% dari ranking awal. Kata Kunci: Analisis Sensitivitas, AHP-SAW, ROC-SAW, Multikriteria
Pertumbuhan penduduk di Indonesia yang terus meningkat setiap tahunnya dan tidak disertai dengan ketersediaan lapangan pekerjaan yang mampu menampung seluruh angkatan kerja bisa menimbulkan pengangguran, kriminalitas, yang bersinggungan pula dengan rusaknya moralitas masyarakat. Oleh karena pemerintah memberikan serangkaian usaha untuk menekan laju pertumbuhan penduduk agar tidak terjadi ledakan penduduk yang lebih besar. Salah satu cara yang dilakukan adalah dengan menggalakkan program KB (Keluarga Berencana). Tujuan dari penelitian untuk membuat model prediksi dengan memanfaatkan Artificial Neural Network (ANN) pada peserta KB aktif jalur pemerintahan untuk melihat laju pertumbuhan penduduk kedepannya dalam rentang waktu tertentu guna mempermudah pemerintah dalam membuat rancangan perencanaan ke depannya. Back-propagation merupakan salah satu metode yang digunakan untuk melakukan peramalan yang merupakan bagian dari ANN. Hal ini perlu dilakukan mengingat jumlah kepadatan penduduk terus meningkat setiap tahunnya dan KB merupakan salah satu program pemerintah yang bertujuan mengendalikan laju kenaikan penduduk di Indonesia. Dataset yang digunakan yakni peserta KB aktif di Kota Pematangsiantar bulan agustus 2019 – januari 2020. Pengujian dilakuan dengan bantuan software matlab dengan menguji 5 model arsitektur (try error) yakni model 4-5-1; model 4-7-1; model 4-8-5-1; dan model 4-9-7-1. Hasil analisis diperoleh bahwa model arsitektur 4-8-5-1 merupakan yang terbaik dan dijadikan acuan untuk meramalkan peserta KB aktif pada jalur pemerintah dengan tingkat akurasi sebesar 71% (terbaik dari 4 model arsitektur lainnya). Model ANN tersebut dapat diimpementasikan untuk melakukan prediksi terhadap peserta KB aktif jalur pemerintahan sehingga pemerintah dapat melakukan rancangan untuk kedepannya.
Employee assessment is needed in evaluating performance and granting rewards to employees. PT. Kupu-Kupu Taman Lestari conducts an employee performance appraisal using Microsoft Excel. The growth of employee data and assessment variables resulted in the calculation method that was carried out could not provide employee ranking information quickly. The application of Microsoft Excel in processing employee valuation data has weaknesses in data documentation. The purpose of this study is the company has a website-based decision support system that makes it easy for companies to get employee performance appraisal information. The employee performance data ranking method used is the Analytical Network Process (ANP) and the performance evaluation criteria are prepared based on the Behaviorally Anchor Rating Scale (BARS) approach. BARS is used in determining criteria along with a scale of behavior that represents the performance of each criterion. ANP is used to process data of importance between criteria so that it can produce criteria weights based on a comparison between criteria. The results of this study are website-based decision support systems that can be accessed by company management via a web browser. System testing is built based on testing manual calculations with the system and testing the user's system according to the McCall model. The system calculation test shows that the system has produced the same calculation value as the manual calculation. System user testing shows that the system built meets user needs, displays information according to user input correctly, is safe from unauthorized parties, and the system is easy to use.
Bali is known for its tourism and culture, the most viscous Balinese culture to date is consultation or cooperation. This can be seen from the many upakara (ceremonial) activities involving local communities, such as upakara dewa yadnya, manusia yadnya, and bhuta yadnya. In providing ceremonial information in an area in Bali, involving banjar or kulkul users. Kulkul in Bali is a traditional information medium that is still used to convey information about death, deliberation, and disaster in an area. However, people who live outside the village cannot hear information through the sound of kulkul. In this study, the Android-based Kulkul Beats Website and Information System was pre-built, but it is necessary to perform analysis of its performance testing. The system can provide information about the beat of the kulkul and is able to control the kulkul through the android app. It can also provide information about beats and will be displayed on the website, as well as controlling the kulkul through the android app. Android system testing using black box testing. From ISO 9126 test results, the functionality aspect gets a value of 1, where the function test has run 100% correctly. Test results of 100% reliability aspect test with success results. Usability test results showed 65.9% (good) results with Alpha Cronbach 0.969 (excellent). The efficiency aspect test results got a C with an average score of 77.2 and an average load time of 1.44 seconds.
<p>ABSTRACT<br />The population data processing system is very important for all population administration processes in a village, or in a smaller scope, namely hamlets. An information system is needed to access population data, so that one can use it to carry out population track records and simplify the process of population registration. Tegal Kori Kaja Hamlet is located in Ubung Kaja Village, North Denpasar District. Currently village officials carry out data collection on paper and processing population data by storing data in word and excel documents, making it difficult and slowing down the process of reporting and archiving population data including data on KK (Head of Family), Population Data, Arrivals Data, Data on Death, Birth Data and Transfer Data. With these problems, a population data information system will be designed which can help village government organization officials, especially hamlet heads in recording and managing population data, so they can produce population report and can provide information on population status to all people because this system based on website and can be accessed by all people .<br />Keywords: system, information, population<br />ABSTRAK<br />Sistem pengolahan data penduduk sangat penting bagi segala proses administrasi kependudukan dalam suatu desa, ataupun dalam ruang lingkup yang lebih kecil yaitu dusun. Suatu sistem informasi diperlukan untuk mengakses data kependudukan, sehingga diantaranya dapat digunakan untuk melakukan rekam jejak penduduk serta mempermudah dalam proses pendataan penduduk. Dusun Tegal Kori Kaja terletak pada desa Ubung kaja kecamatan Denpasar Utara. Saat ini aparat desa melakukan pendataan penduduk dengan kertas dan pengolahan data penduduk yang dilakukan dengan menyimpan data-data dalam dokumen word dan excel, sehingga menyulitkan dan memperlambat proses pelaporan dan pengarsipan data penduduk meliputi data KK (Kepala Keluarga), Data Penduduk, Data Pendatang, Data Kematian, Data Kelahiran dan Data Perpindahan. Dengan permasalahan tersebut maka akan dirancang sistem informasi data penduduk dusun yang dapat membantu pemerintahan desa, khususnya kepala dusun dalam pencatatan dan pengelolaan data penduduk sehingga dapat menghasilkan laporan penduduk dan dapat memberikan informasi status kependudukan kepada seluruh penduduk karena sistem informasi berbasis website dan bisa diakses oleh seluruh masyarakat.<br />Kata Kunci : sistem, informasi, penduduk</p>
The government's role in the implementation of higher education in Indonesia is to provide a university database. It is hoped that the government and the public can participate in assessing and conducting surveillance with the database. Every tertiary institution must report everything related to the implementation of education, starting from lecturer data, student data, and lecture data. In its performance, a Dikti Feeder application has been prepared that can transmit data. Each university will adjust the data entry following the Dikti standards. As one of the higher education providers, STMIK STIKOM Indonesia has been able to report data well, but specifically for final assignments and work practices, it has not been maximized due to the development of a separate system from the academic system. For this reason, a suitable system will be developed to accommodate Thesis and Internship data related to reporting on the Dikti Feeder by applying the Online Analytical Processing (OLAP) method using the Cube JS modular framework. Some of the tests carried out are schema file testing, frontend and backend testing, cube client testing, querying testing and load request testing showing the data can be displayed correctly and the process is successful.
Internet media has become one of the means of product promotion that has very good prospects today. The research aims to recommend the right social media for online businesses. The data collection method was conducted by interview and questionnaire to 300 respondents who conducted online business in Pematangsiantar city by random sampling. Based on the results of interviews and questionnaires obtained assessment criteria namely security (C1), application features (C2), community (C3), ease of access (C4) and response speed (C5). The alternatives used in this research are Facebook (A1), Instagram (A2), Line (A3) and WhatsApp (A4). The settlement method applied is a decision support system with the PROMETHEE II algorithm. The results of the algorithm show that the right alternative for doing online business is Facebook (A1) with a net flow of 0.25 and followed by WhatsApp (A4) with a net flow of ¬0.1. The results of the study are expected to provide recommendations in conducting online business.
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