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All Journal Urania Jurnal Ilmiah Daur Bahan Bakar Nuklir Jurnal Teknologi FLYWHEEL : Jurnal Teknik Mesin Untirta Prosiding Semnastek Jurnal Ilmiah Teknik Mesin Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin Jurnal Ilmiah Ilmu dan Teknologi Rekayasa Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Economics and Business UBS Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan Jurnal Indonesia Sosial Teknologi Jurnal Ekonomi, Teknologi dan Bisnis Jurnal Teknik Indonesia Mutiara: Multidiciplinary Scientifict Journal Jurnal Vokasi Indonesia Insight : International Journal of social research
Hendri Sukma
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Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Application of Simple Additive Weighting (SAW) Method in Selecting the Best Employee Performance (Case Study: CV. Syntax Corporation Indonesia) Hendrian, Sukma; Asfi , Marsani; Fahrudin , Rifqi
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 12 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i12.1364

Abstract

This study discusses the application of the Simple Additive Weighting (SAW) method in selecting the best employee performance at CV. Syntax Corporation Indonesia. The background of the problem involves challenges in assessing and selecting the best employees objectively amidst the many assessment criteria. The purpose of the study is to implement the SAW method to improve accuracy and objectivity in performance assessment. The method used is SAW with predetermined criteria, as well as weight calculations and data normalization. The results of the study indicate that the SAW method is effective in facilitating the eval_uation process and producing more accurate employee rankings based on relevant criteria. The results of this study indicate that the SAW method can identify employees with the best performance regularly and transparently. The application of this method produces employee rankings that are consistent with the eval_uation objectives and company needs. By using SAW, CV. Syntax Corporation Indonesia is able to improve the accuracy of the assessment and provide more objective decisions in selecting the best employees. This study suggests that the SAW method be applied more widely for performance-based decision making in other companies.
Efektivitas Pembelajaran Melalui Aplikasi Online Hendrian, Sukma; Brahma Fahrezi, Rendi; Surya Wijaya, Abi; Rohman Hakim, Arif
Journal of Economics and Business UBS Vol. 12 No. 4 (2023): Special Issue
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v12i4.464

Abstract

Kemajuan teknologi informasi memberikan pengaruh yang cukup pesat dalam dunia pendidikan untuk meningkatkan hasil belajar dimana penggunaan IT memudahkan pengguna dalam memanfaatkannya dimanapun dan kapanpun. Salah satu keinginan siswa ataupun orang tua terhadap hasil belajar anak ialah memperoleh nilai yang optimal dan mampu mendukungnya untuk meraih cita-cita salah satu caranya dengan menambah pembelajaran melalui aplikasi belajar online yang telah tersedia dalam beragam jenisnya. Oleh karena itu peneliti ingin mengetahui lebih lanjut mengenai Efektivitas pembelajaran melalui aplikasi belajar online. Tujuannya untuk mengetahui efektif atau tidaknya penggunaan aplikasi belajar online dalam meningkatkan hasil belajar siswa di sekolah X Jakarta. Metode penelitian yang digunakan ialah kuantitatif deskriptif dengan teknik pengumpulan data melalui penyebaran angket, observasi, wawancara dan dokumentasi. Responden dipilih dengan purposive sampling dan berjumlah 40 responden. Data yang diterima akan diolah secara teliti sehingga diperoleh hasil penelitian bahwa aplikasi belajar online memiliki nilai efektivitas sebesar 45% dalam meningkatkan hasil belajar siswa sehingga efektivitas pembelajaran melalui aplikasi belajar online cukup baik.
The Effects of Gig Economy Platforms on Job Security and Worker Identity in Indonesian Metropolitan Areas Hendrian, Sukma
Co-Value Jurnal Ekonomi Koperasi dan kewirausahaan Vol. 15 No. 11 (2025): Co-Value: Jurnal Ekonomi, Koperasi & Kewirausahaan
Publisher : Program Studi Manajemen Institut Manajemen Koperasi Indonesia Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/pqb3tf02

Abstract

The rapid expansion of gig economy platforms has transformed labour markets globally, raising questions about job security and worker identity, particularly in emerging economies with high informality such as Indonesia. Metropolitan areas like Jakarta, Surabaya, Bandung, and Medan have become hubs for ride-hailing, food delivery, and online freelancing, yet workers remain classified as partners rather than employees, exposing them to volatile earnings, limited benefits, and algorithmic control. This study aims to examine the effects of gig economy platforms on job security and worker identity in Indonesian metropolitan contexts. Employing a mixed-methods design, the research surveyed 400 platform workers and conducted 40 semi-structured interviews. Quantitative data were analyzed through descriptive statistics, regression, and structural equation modeling, while qualitative narratives were coded thematically. Validity and reliability were ensured through factor analysis and Cronbach’s alpha, with α ≥ .73. Findings reveal significant income volatility (57% of respondents), limited social protection (28% enrolled in BPJS), and exposure to opaque deactivations (16%). Algorithmic intensity strongly predicts job insecurity (β = 0.31, p < .001), which in turn erodes worker dignity and status. Interviews highlight identity strategies such as entrepreneurial reframing, compliance professionalism, and collective coping, while metropolitan differences—especially in Jabodetabek—intensify precarity due to tariff regulations and congestion. The study contributes to global debates on algorithmic management and identity-work by situating them in Indonesia’s metropolitan labour markets. Practical implications include the need for tariff governance sensitive to urban contexts, portable social benefits, and transparent deactivation procedures to ensure fairer digital labour ecosystems.
Co-Authors Aditya Gantina Agus Sartono Akbar, M. Fajri Amelia Amelia Ardifan Risdamaji Asfi , Marsani Brahma Fahrezi, Rendi Bunga, Nely Toding Dede Sutarya, Dede Dedy Salam Dwi Rahmalina, Dwi Erlanda Augupta Pane Fahrezi, Rendi Brahma Fahrudin , Rifqi Fikri, Rahmad Hasan Hariri Kamarullah, Muhammad Rifky Kholipah, Siti Ainul Komarudin Mahandika, Dhidik Muhammad Fajri Akbar Pamungkas, Iqbal R. Prakoso, Avis Iman Dwi Richard Rinaldy, Rio Rini Prasetyani Risdamaji, Ardifan Rizal Imanuddin Rohman Hakim, Arif Setiawan Aziz, Muhamad Aditya Solikhah, Mar'atus Sulaksono, Bambang Surya Wijaya, Abi Wina Libyawati, Wina Y. A. Sihombing Yani Kurniawan Yanto, Achmad Arbi Zeda, Azeda Amirah