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All Journal Jurnal Simetris Faktor Exacta JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) IC Tech: Majalah Ilmiah Kapas: Kumpulan Artikel Pengabdian Masyarakat IC Tech: Majalah Ilmiah ISTA Online Technologi Journal
Aswin Fitriansyah
Universitas Indraprasta PGRI
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Social Sciences Other

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SISTEM PENGAMBILAN KEPUTUSAN PENENTUAN KARYAWAN TETAP DI SUMBER CIPTA MULTINIAGA DENGAN METODE TOPSIS Dwi Rachmatulloh; Fauzan Natsir; Aswin Fitriansyah
IC Tech: Majalah Ilmiah Vol 20 No 2 (2025): IC Tech: Majalah Ilmiah Volume XX No. 2 Oktober 2025
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v20i2.352

Abstract

This study aims to design and implement a decision-making system to determine permanent employees at PT Sumber Cipta Multiniaga using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. This system was developed to improve objectivity and transparency in the permanent employee selection process, taking into account various assessment criteria such as performance, discipline, integrity, and cooperation. The methods used include needs analysis, collection of employee criteria and alternatives data, and application of the TOPSIS algorithm to obtain mathematically and measurably ranked employee candidates. The results of the implementation show that the system is capable of producing accurate, efficient, and easy-to-use recommendations for permanent employees by management. The conclusion of this study states that the TOPSIS method is effective in supporting multi-criteria-based decision-making processes in determining permanent employees and can be applied to the selection process in similar companies.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SANTRI BERKUALITAS PADA PONDOK PESANTREN NUR MEDINA PONDOK CABE DENGAN METODE SIMPLE ADDITIVE WEIGHTING Bagas Kusuma Kusuma; Fauzan Natsir; Aswin Fitriansyah
IONTech Journal Vol 7 No 1 (2026): Februari 2026
Publisher : Institut Sains dan Teknologi Al-Kamal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62702/ion.v7i1.147

Abstract

Nur Medina Islamic Boarding School Pondok Cabe conducts a student quality selection process aimed at providing appreciation to the best students managed by the boarding school. However, this selection process is still carried out manually, which may lead to subjectivity and inefficiency in decision making. This study aims to design and develop a decision support system to determine high-quality students using the Simple Additive Weighting (SAW) method. The SAW method is applied because it is able to determine the best alternative based on the weighted summation of each predetermined criterion. The system design is modeled using Unified Modeling Language (UML). The results of the application of the SAW method are in the form of a ranking of students as a quality alternative with the highest V value, namely V4 = 0.78 with a participant named Ali Akbar. The developed system is expected to assist the Islamic boarding school management in selecting high-quality students objectively, systematically, effectively, and accurately.
PENERAPAN METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT (WASPAS) DALAM MENENTUKAN OLI MESIN UNTUK SEPEDA MOTOR MATIC DI BENGKEL MOTOR DEDE EXTREM Rizaldy; Fauzan Natsir; Aswin Fitriansyah
IONTech Journal Vol 7 No 1 (2026): Februari 2026
Publisher : Institut Sains dan Teknologi Al-Kamal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62702/ion.v7i1.168

Abstract

Selecting the right engine oil is essential for maintaining performance and extending the lifespan of automatic motorcycle engines. At Dede Extrem Motorcycle Workshop, oil recommendations are still made subjectively based on mechanic habits or preferences without systematic evaluation of technical criteria, which may cause mismatches between engine requirements and the lubricant used. This study aims to develop a Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method to determine the best oil based on six criteria: viscosity, temperature resistance, lubrication level, fuel efficiency, price affordability, and brand reputation. Using real-price data for three oil alternatives, the ranking results indicate Motul Scooter LE (A3) as the top recommendation with Qi = 0.9750, followed by Castrol Power 1 Scooter (A2) Qi = 0.9414 and Shell Advance AX7 Scooter (A1) Qi = 0.9367. In addition, a 1–5 scale evaluation test (five alternatives) shows A5 as the best alternative with Qi = 0.91 (rank 1), while A4 has the lowest score with Qi = 0.65 (rank 5). These results suggest that technical performance criteria have a stronger influence than price in determining oil recommendations. The developed system provides a more objective and consistent ranking output to assist mechanics in decision making.
Co-Authors Achmad Rizki Muazam Achmad Sarwandianto Agung Wijaya Ambar Safaatun Ambar Tri Hapsari Ardhi Dinullah Baihaqie Dinullah Baihaqie Bagas Kusuma Kusuma Bagus Adji Sudarnomo Bondan Dwi Hatmoko Dandi Dandi Dandy Herlambang Dendi Abdul Rohim Dika Pramudia Dwi Rachmatulloh Fajar Ramadhan Fauzan Natsir FEBRIYANTI, CHATARINA Harry Dhika, Harry Heribertus Tange Imam Himawan Imam Rifai Lukman Lukman Lusi Ariyani Nabilah Farhana Nurul Amalia Paramita, Aulia Rafiqi Faris Satriavi Randi Ramliyana Rayung Wulan Rizaldy Siti Suaedah Suranto Saputra Syifa Rizkiyah Dinanty Zaenul Arifin