No abstract

In a company, the process of employees recruitment and performance appraisal are very crucial. The recruitment is the first process which selects the potential employees that would meet the company’s pre-defined criteria. Meanwhile, the performance appraisal is a way to evaluate employees’ performances whether or not the employees have achieved the company’s goals. In PT. XYZ, both employee recruitment and performance appraisal processes were manually conducted. This manual process were indeed proned to many mistakes and unfair decisions. For that reason, an information system is indispensable to support the aforementioned processes. In this study, we have developed a web-based application which can support the recruitment and performance appraisal process. UML diagram version 2.4 and Rapid Application Development (RAD) with prototyping method were employed to support the development of our application. Analytic Hierarchy Process (AHP) method were also embedded in our application to select and rank the applicants based on several criteria in a more objective manner. The result of this study is a fully functional web-based application which is able to support, automate, as well as accelerate the recruitment and performance appraisal process at PT. XYZ. Index Terms—Recruitment, Performance Appraisal, Web-based Application, Analytical Hierarchy Process

During the COVID-19 pandemic, worship activities at the Church were limited. The lack of preparation and data collection on the congregations who visit to worship regularly every week increases the risk of transmission. It needs to be minimized and anticipated. One effort that can be made to reduce this risk is to collect data on the health condition of the congregation who will attend worship. The data collection process is recorded in writing on the attendance list. This requires an iterative approach to be updated and creates a build-up to the attendance record. In addition, media information about the BNKP Pewarta Church activities is not yet available. To overcome this problem, a congregational data collection information system is needed to store congregation data and provide general information about the BNKP Pewarta Church. In designing this Congregation Data Collection Information System, the design method used is the Web Development Life Cycle (WDLC). This information system website design can store Church congregation data and present general Church information.

Face image recognition has been widely used and implemented in many aspects of life, such as in the field of investigation or security. However, research in this area is still rarely done. Source images in this paper are taken directly from 41 students with a total of 131 faces in JPG format, each with a dimension of 256×256. By applying Discrete Wavelet Transform and Discrete Cosine Transform, an image can be represented as a number of DCT coefficients efficiently. Recognition process is done using Radial Basis Function Neural network. The experiment results show that the best configuration for RBF is 8×41×41 with recognition rate of student faces is 100% and 98% of the sample face images are identified perfectly.  Index Terms-discrete wavelet transform, discrete cosine transform, radial basis function neural network

Pemerintah Indonesia telah menggiatkan upaya untuk memenuhi target Imunisasi Dasar Lengkap (IDL) di Indonesia. Salah satu upaya yang dijalankan yaitu penyuluhan kepada para ibu untuk mengedukasi mereka apa pentingnya imunisasi kepada bayi, sehingga dapat mendorong para ibu untuk membawa anaknya mendapatkan imunisasi, terutama 5 Imunisasi Dasar Lengkap. Kementrian Kesehatan Indonesia juga mengupayakan untuk menjamin akses pelayanan di daerah yang sulit dijangkau dengan cara bekerja sama dengan lintas sektor lainnya, menjamin ketersediaan vaksin, dan pelatihan kepada petugas kesehatan. Urgensi permasalahan prioritas merupakan salah satu bentuk Upaya Kesehatan Bersumber Daya Masyarakat (UKBM) yang dikelola dan diselenggarakan dari, oleh, untuk dan bersama masyarakat dalam penyelenggaraan pembangunan kesehatan, guna memberdayakan masyarakat dan memberikan kemudahan kepada masyarakat dalam memperoleh pelayanan kesehatan dasar untuk mempercepat penurunan angka kematian bayi dan balita. Objek yang akan diambil adalah Desa Lengkong Kulon, lokasinya di pesisir sungai cisadane, Desa Lengkong Kulon Kecamatan Pagedangan - Kabupaten Tangerang. Permasalahan yang terjadi adalah puskesmas pagedangan di Desa Lengkong Kulon ini belum memiliki sistem imunisasi online sebagai fasilitas kesehatan berbasis web yang dapat mengingatkan para ibu untuk mengimunisasi anaknya tepat waktu. Selain itu proses penyebaran informasi mengenai ketersediaan vaksin di Puskesmas masih belum tersistem dan penghitungan stok yang dibutuhkan masih menggunakan perkiraan secara manual. Program penerapan sistem imunisasi pada puskesmas pagedangan ini bertujuan untuk menerapkan sistem imunisasi online berbasis web yang dapat membantu para bayi mendapatkan imunisasi secara tepat waktu dengan cara mengirimkan pengingat (reminder) kepada pihak Puskesmas dan pihak ibu, sehingga kedua pihak tersebut dapat mempersiapkan hal-hal yang diperlukan untuk memenuhi imunisasi, terutama Imunisasi Dasar Lengkap. Selain itu sistem imunisasi ini juga dapat membantu Puskesmas mempersiapkan vaksin yang akan dibutuhkan pada waktu tertentu. Kegiatan akan dilakukan pada beberapa tahap meliputi (1) survey lokasi; (2) persiapan lokasi; (3) pengadaan sarana dan prasarana; (4) perekrutan peserta dan asisten trainer; (5) perekrutan koordinator lapangan; (6) pelaksanaan pengabdian (pelatihan, produksi, promosi dan distribusi); (7) evaluasi hasil produksi, promosi dan distribusi; dan (8) penulisan laporan PKM.

No abstract

No abstract

Abstract. Optical Mark Recognition (OMR) is often used by teachers to help mark students' test in the form of multiple-choice test. This article describes how to build an offline OMR system which run in Android based smartphone. The input is the digital image of student's answer sheet which was taken from smartphone's camera. The system implements image processing techniques to detect and determine not only student's handwritten for his/her ID, name, and form's ID, but also for the answer of each test number. Gradient feature is used as features for the handwritten parts, while pixel density and area are used for the marked parts. Radial Basis Function Neural Network (RBFNN) is implemented to recognize of the students' handwriting. The experiment result shows that the system has successfully identified the answers with 99.69% success rates, but only has 82.28% and 72.25% success rates for digits and uppercase letters recognition respectively.