cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
tin.journal@fkpt.org
Editorial Address
Jalan Sisingamangaraja No. 338, Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
Core Subject : Economy, Health, Science, Education, Art, Social, Engineering,
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other
Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol 3 No 5 (2022): October 2022" : 5 Documents clear
Sistem Pendukung Keputusan Penerimaan Karyawan Menggunakan Metode WASPAS Septa Fenly Sinaga; Muhammad Syahrizal; Ronda Deli Sianturi
TIN: Terapan Informatika Nusantara Vol 3 No 5 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i5.4110

Abstract

The problem that often occurs is that there is a discrepancy in employee acceptance data in the past by selecting employees with an attitude of not objectivity to recruiting employees. And there are still many employees who do not fit the position with the same knowledge so that when the selection of employees is not appropriate so that they are not driven forward, it will have an impact on other operations. This is certainly not very good because it can affect the smooth operation and inappropriate goals. Therefore we need an Employee Decision Support System so that this method is considered not objective because it is not in accordance with employee data. Based on these problems, it is necessary to build a Decision Support System (DSS) to support the employee recruitment process, by applying the WASPAS method. The application of the WASPAS method will be able to provide the best solution for the company in recruiting employees based on predetermined criteria. The method used in this Decision Support System is the WASPAS method, because it is very suitable for hiring employees on CV. Perfect Core Prime so that in the future because of the WASPAS method it can determine the weight value for each attribute, because it is followed by a ranking process that will select the best alternative from a number of alternatives, in this case the alternative in question is the result of the system based on the specified criteria. So as to produce more accurate employee recruitment and more precise employee targets on the CV. Perfect Core Prime
Determinan Keterlibatan Kerja: Peran Dari Penilaian Kinerja, Perilaku Kepemimpinan dan Perilaku Inovatif Rahayu Mardikaningsih; Didit Darmawan
TIN: Terapan Informatika Nusantara Vol 3 No 5 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i5.4111

Abstract

This study intends to analyze and determine the determinants of job attachment based on the role of performance appraisal, leadership behavior and innovative behavior. A quantitative approach is used in this research and this descriptive research will collect various information to test hypotheses. The number of samples taken using purposive sampling technique, which is a sampling technique based on certain considerations. The basis of consideration used in determining the number of samples is permanent employees. Based on these considerations, the sample taken was 85 employees. The data collected will be identified with the help of the SPSS version 26 application and the analysis tool used is multiple linear regression analysis. This study concludes that work engagement is significantly influenced by performance appraisal, leadership behavior and innovative behavior. Through a deeper understanding of how work engagement, performance appraisal, leadership behavior and innovative behavior are interrelated, it is hoped that organizations can take strategic steps to improve employee work engagement, and ultimately improve overall performance. This research has the potential to provide valuable insights for human resource practitioners, managers and other stakeholders interested in optimizing their organizational effectiveness
Tiga Pilar Sukses: Perilaku Kewirausahaan, Etika Bisnis, dan Modal Sosial Untuk Meningkatkan Kinerja Bisnis Didit Darmawan; Abdul Hafidz Rosydi Fuady; Rahayu Mardikaningsih; Eli Retnowati
TIN: Terapan Informatika Nusantara Vol 3 No 5 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i5.4112

Abstract

Competition in the business world is increasingly fierce, making entrepreneurs look for the right strategy to market their products. This research aims to analyze factors that can improve business performance, namely entrepreneurial behavior, business ethics and social capital. The research method used was ex post facto with a questionnaire given to owners and managers of micro businesses in Waru District, Sidoarjo Regency. The collected data was analyzed using the regression method to test the influence of the independent variables, namely entrepreneurial behavior, business ethics and social capital, on the dependent variable, namely micro business performance. The results of the study show that entrepreneurial behavior has a significant positive effect on micro business performance. This shows that being proactive, innovative, and oriented to business opportunities can improve micro business performance. In addition, business ethics also have a significant positive influence on micro business performance, demonstrating the importance of operating with integrity and following ethical principles in running a business. Finally, social capital has also been shown to have a significant positive influence on micro business performance, indicating that social networks and relationships between micro business owners and related parties can increase access to resources and business opportunities
Implementasi Metode ARAS Pada Sistem Pendukung Keputusan Rekomendasi Penerimaan Karyawan Thesa Noveninta Ginting; Muhammad Syahrizal
TIN: Terapan Informatika Nusantara Vol 3 No 5 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i5.4113

Abstract

Recommendations for employee recruitment are a fact that in an organization is always open. With recommendations for employee recruitment, new jobs and other activities are created. PT. Pegadaian (Persero) is a State-Owned Enterprise (BUMN) in the financial sector which operates in three corporate businesses, including financing, gold and various services. PT. Pegadaian annually recruits new employees, which in the employee recruitment process here at PT. Pegadaian also recruits employees with disabilities. Disabled employees are employees who have mental, physical limitations and have extensive intellectual and sensory knowledge for a long period of time so that interacting with the environment and society can encounter obstacles that make it difficult for them to participate fully based on equal rights. The solution to the problem above is to build a decision support system for hiring disabled employees at PT. Pawnshop. The method chosen to support solving the problem above is the Additive Ratio Assessment (ARAS) method, namely by giving weight to each available alternative option. This research produces a decision support system that can recommend the acceptance of employees with disabilities at PT. Pegadaian uses the Additive Ratio Assessment (ARAS) method. A trial was carried out by entering a data sample of 15 (fifteen) employees with disabilities. With the decision support system, it can provide recommendations for accepting disabled employees at PT Pegadaian based on ranking, from 15 candidates for hiring disabled employees based on the largest ranking: Alternative 1 with a value of 0.9645, Alternative 2 with a value of 0.9139, and Alternative 3 with a value of 0. 9101
Prediksi Jumlah Pendapatan Daerah Pada Kantor BPKPAD Dengan Metode Fuzzy Time Series Sry Winda Gultom
TIN: Terapan Informatika Nusantara Vol 3 No 5 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i5.4114

Abstract

Regional income is an important factor that greatly influences regional finances which is useful as adding value to regional wealth. This research aims to find out what is included in Original Regional Income, what things influence original regional income and how to manage original regional income. This research uses data obtained from the Regional Revenue and Asset Financial Management Agency Office of Humbang Hasundutan Regency. The actual data used in this research is realized income from 2018 to 2020. In this research, the author uses the fuzzy time series method to make predictions. By using this method, the author will carry out a process of predicting or forecasting the amount of income from 2021 to 2023. By using this fuzzy time series method, the calculations carried out by the author produce conclusions with decent forecasting performance, namely in the MAPE value range of 20-50%, namely the error value is 32.86%. With this the absolute error is 11.83 and the prediction accuracy value is 67.17%

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 6 No 9 (2026): February 2026 Vol 6 No 8 (2026): January 2026 Vol 5 No 12 (2025): May 2025 Vol 5 No 11 (2025): April 2025 Vol 5 No 10 (2025): March 2025 Vol 6 No 7 (2025): December 2025 Vol 6 No 6 (2025): November 2025 Vol 6 No 5 (2025): October 2025 Vol 6 No 4 (2025): September 2025 Vol 6 No 3 (2025): August 2025 Vol 6 No 2 (2025): July 2025 Vol 6 No 1 (2025): June 2025 Vol 5 No 9 (2025): February 2025 Vol 5 No 8 (2025): January 2025 Vol 4 No 12 (2024): May 2024 Vol 4 No 11 (2024): April 2024 Vol 4 No 10 (2024): March 2024 Vol 5 No 7 (2024): December 2024 Vol 5 No 6 (2024): November 2024 Vol 5 No 5 (2024): October 2024 Vol 5 No 4 (2024): September 2024 Vol 5 No 3 (2024): August 2024 Vol 5 No 2 (2024): July 2024 Vol 5 No 1 (2024): June 2024 Vol 4 No 9 (2024): February 2024 Vol 4 No 8 (2024): January 2023 Vol 3 No 12 (2023): May 2023 Vol 3 No 11 (2023): April 2023 Vol 3 No 10 (2023): March 2023 Vol 4 No 7 (2023): December 2023 Vol 4 No 6 (2023): November 2023 Vol 4 No 5 (2023): October 2023 Vol 4 No 4 (2023): September 2023 Vol 4 No 3 (2023): August 2023 Vol 4 No 2 (2023): July 2023 Vol 4 No 1 (2023): June 2023 Vol 3 No 9 (2023): February 2023 Vol 3 No 8 (2023): January 2023 Vol 2 No 10 (2022): Maret 2022 Vol 3 No 7 (2022): December 2022 Vol 3 No 6 (2022): November 2022 Vol 3 No 5 (2022): October 2022 Vol 3 No 4 (2022): September 2022 Vol 3 No 3 (2022): August 2022 Vol 3 No 2 (2022): July 2022 Vol 3 No 1 (2022): June 2022 Vol 2 No 9 (2022): Februari 2022 Vol 2 No 8 (2022): Januari 2022 Vol 1 No 12 (2021): Mei 2021 Vol 1 No 11 (2021): April 2021 Vol 1 No 10 (2021): Maret 2021 Vol 2 No 7 (2021): Desember 2021 Vol 2 No 6 (2021): November 2021 Vol 2 No 5 (2021): Oktober 2021 Vol 2 No 4 (2021): September 2021 Vol 2 No 3 (2021): Agustus 2021 (in press) Vol 2 No 3 (2021): Agustus 2021 Vol 2 No 2 (2021): Juli 2021 Vol 2 No 1 (2021): Juni 2021 Vol 1 No 9 (2021): Februari 2021 Vol 1 No 8 (2020): Januari 2021 Vol 1 No 7 (2020): Desember 2020 Vol 1 No 6 (2020): November 2020 Vol 1 No 5 (2020): Oktober 2020 Vol 1 No 4 (2020): TIN: September 2020 Vol 1 No 3 (2020): TIN: Agustus 2020 Vol 1 No 2 (2020): TIN: Juli 2020 Vol 1 No 1 (2020): Juni 2020 More Issue