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All Journal Jurnal Simantec Sinkron : Jurnal dan Penelitian Teknik Informatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Sanjaya, Irfan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN KARYAWAN BERBASIS WEB MENGGUNAKAN METODE MOORA Sanjaya, Irfan; Hajjah, Alyauma
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.25376

Abstract

PT. Sinar Indrapura Anugerah Khatulistiwa is a company that operates in the gas sales sector and hires 30 employees every year. Based on the results of the interview, this company agreed to use a decision support system to support the employee recruitment process to avoid subjective factors that are detrimental to job seekers and the company. The decision support system will be built using the MOORA method because this method has a simple and easy to understand concept and provides precise and accurate results to support decision making, is easy to implement and has a high level of sensitivity to the attributes used compared to other methods. The criteria that are considered appropriate are the criteria to support the employee recruitment decision support system at PT. Sinar Indrapura Anugerah Khatulistiwa is education level, age, work experience, health, written test scores and interview scores. This research is expected to be able to design and implement a web-based employee recruitment decision support system using the MOORA method. As a result, the system was successfully designed and implemented on a web basis using the MOORA method with the results of manual calculations matching the calculation results of the system with an accuracy level of 100% so that the system was declared suitable for use as a decision support system for employee recruitment and all of its functionality was running 100%.Keywords: Decision Support System, Employee Recruitment, MOORA Method, Web
Pembuatan Briket Arang dari Campuran Tempurung Kelapa dan Kulit Singkong Gusmarwani, Sri Rahayu; Alqarni, Muhammad Uwais; Sanjaya, Irfan
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 3 (2023): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i3.3550

Abstract

Penelitian ini bertujuan untuk menentukan kondisi pembuatan briket dari tempurung tempurung kelapa yang dicampur dengan limbah kulit singkong. Metode yang di lakukan dengan menggunakan alat pembakaran yang dibuat dari drum bekas diameternya 48 cm, tinggi 78cm dan kapasitas 50 liter. Setelah campuran tempurung kelapa dengan kulit singkong dibakar, selanjutnya diproses menjadi briket dengan ditambahkan perekat dan dicetak. Briket yang sudah dicetak selanjutnya dianalisis dengan hasil kadar air 8,33-10,43%, kerapatan 0,48-0,59 gram/cm3, kadar abu 4,17-6,25%, zat mudah menguap 6,25-7,63%, karbon terikat 75,70-81,25% dan tingkat kekerasan briket berada di 2,5 skala mohs. Nilai kalor yang didapatkan pada briket Arang 6459,66 - 6573,28 kalori/g.
Tourism Destination Recommendation Using Blockchain Technology and MCDM Approach Sanjaya, Irfan; Azimah, Ariana; Hindarto, Djarot; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15482

Abstract

The rapid advancement of digital tourism services has revolutionized how travelers search and select destinations, yet privacy and trust issues remain major challenges in centralized recommendation systems. User data such as preferences, location history, and feedback are often stored on centralized servers, making them vulnerable to data breaches and manipulation. This research proposes a Blockchain-Driven Multi-Criteria Decision Making (MCDM) Approach to develop a privacy-preserving and trustworthy tourist recommendation system. The proposed framework integrates blockchain technology to ensure secure, transparent, and immutable data management, while MCDM techniques such as the Analytic Hierarchy Process (AHP) and TOPSIS are employed to evaluate and rank tourist destinations based on multiple criteria, including popularity, cost, safety, accessibility, and sustainability. The blockchain layer enforces decentralized data verification through smart contracts and cryptographic consensus, ensuring that user privacy is protected without sacrificing system transparency. The experimental results indicate improved recommendation accuracy, reduced privacy risks, and enhanced user trust compared to conventional systems. The proposed model achieved 12.5% higher recommendation accuracy and 30% lower privacy risk compared to centralized models. This study demonstrates that combining blockchain and MCDM can effectively support transparent and fair decision-making in digital tourism, offering a scalable and secure foundation for next-generation recommendation systems.
Co-Authors Alqarni, Muhammad Uwais Alyauma Hajjah Ariana Azimah Asrul Sani Hindarto, Djarot Sri Rahayu Gusmarwani, Sri Rahayu