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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Tarbawi: Jurnal Keilmuan Manajemen Pendidikan Edukasi Islami: Jurnal Pendidikan Islam Holistik Jurnal Kesehatan Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer INFOKUM Jurnal Ipteks Terapan : research of applied science and education Jurnal Ekonomi dan Kewirausahaan West Science E-CLUE Journal of English Culture, Language, Literature and Education
Efendi Efendi
Universitas Andalas
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary Other

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Journal : INFOKUM

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Combination of SAW Method and Linear Interpolation in Selection of Raskin Recipients Agung Teguh Setyadi; Pandu Adi Cakranegara; Arianto Muditomo; Iwan Henri Kusnadi; Efendi
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The government assistance program is one of the efforts to promote community welfare, as is the case with the Raskin assistance program. In the contribution of aid from the center to the regions, of course, many things are of concern, namely the equitable distribution and correct targeting of the rightful recipients. In reality, there are problems in determining the recipients of Raskin assistance due to the indication of an element of subjectivity in making decisions and the mismatch between candidate data and recipients due to not taking into account the assessment criteria in determining the selected candidates for assistance. This study proposes an evaluation of the selection process for Raskin beneficiaries with four criteria, namely Income (C1), Marital Status (C2), Dependent of Children (C3), and Age (C4). The method combines the Simple Additive Weighting (SAW) method in determining the nature of the criteria to calculate the final score and the Linear Interpolation technique for the scoring process to determine the difference in numerical values. The study results are seven alternative recipients of assistance selected into three selected alternatives. The analysis of the influential criteria shows that the Dependent of Children (C3) and Age (C4) criteria affect the final ranking of the alternative recipients of Raskin assistance.
RECRUITMENT OF NEW EMPLOYEE USING SELECTION PROCESS FOR DETERMINING DECISIONS WITH THE PREFERENCE SELECTION INDEX METHOD Pandu Adi Cakranegara; Efendi; Aditya Wardhana; Tienni Mariana Simanjorang; Revi Sesario
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

The most important thing for companies is to hire new people who have the skills and qualities needed for the job or acceptance offered. The ability of a company to run well depends a lot on the quality of its employees. The issue of hiring people and getting the finest applicants can be overcome with the aid of decision-making procedures. In a recruitment process, there are many selection mechanisms in businesses with varying criteria. In this study, decision-makers are selecting candidates for employment based on specified criteria, including an intelligence test (C1), an interview test (C2), a test of skills and abilities (C3), an assessment of attitudes and behaviors (C4), and work experience (C5). The calculating approach employs the Preference Selection Index (PSI) method because it can be applied to situations with multiple criteria and attributes and does not require the decision maker to calculate the weights of the criterion. The 3 best option candidates for the employees with the greatest PSI value, which is PSI = 0.88186, are determined by the results of the final PSI method computation from 5 alternatives.
Co-Authors ABA, MATHEUS Aditya Wardhana Adolfina M. S. Moybeka Afif Alfiyanto Agung Teguh Setyadi Agustina Ahmad Jurnaidi Wahidin Andrias Andrias Arianto Muditomo Arief Yanto Rukmana Asri Widiatsih Azizah Silfa Azzahra Bakti, Rizal Baso Intang Sappaile Basri, Basri Cakranegara, Pandu Adi Cherry Lumingkewas Corneles Rubenaser Apalem Detri Amelia Chandra Elvathna Syafwan Endang Surjati Fabianus Hadiman Bosco Fabianus Hadiman Bosco Hadiansyah Ma’sum I Gede Iwan Sudipa Ida Bagus Benny Surya Adi Pramana Iis Marsithah Irwan Ashari Iwan Henri Kusnadi Lulu Ulfa Sholihannnisa Mustika Wati Alfia Ningtyas Narwen Narwen Niel Ananto Nur Azis Revi Sesario Sangia, Rohib Adrianto Siraj Syafwan, Mahdhivan Taufik Kurrohman Tienni Mariana Simanjorang Ubaidillah