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All Journal Jurnal Buana Informatika Sistemasi: Jurnal Sistem Informasi Tech-E Jurnal Ilmiah FIFO Jurnal CoreIT Jurnal TAM (Technology Acceptance Model) ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER BEES: Bulletin of Electrical and Electronics Engineering Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Swarnadwipa SANISKALA: Jurnal Pengabdian Masyarakat Jurnal TAM (Technology Acceptance Model) Journal of Decision Support System Research
Yuri Rahmanto
Universitas Teknokrat Indonesia
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APLIKASI E-VOTING PADA PEMILIHAN KETUA OSIS BERBASIS MOBILE DAN PROFILE MATCHING (STUDI KASUS SMA NEGERI 1 BULOK) Kurniawan, Arsy; Setiawansyah, Setiawansyah; Rahmanto, Yuri
TELEFORTECH : Journal of Telematics and Information Technology Vol 2, No 2 (2021): TELEFORTECH VOL 2 No. 2 (JANUARI 2022)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v2i2.3703

Abstract

E-voting atau elektronik voting adalah suatu cara pemungutan suara  yang memanfaatkan alat elektronik untuk memudahkan proses pemungutan suara tersebut. E-voting memilik kelebihan seperti proses pemilihan yang cepat, proses perhitungan suara cepat, perhitungan suara secara realtime dimana setiap suara yang masuk akan terlihat pada aplikasi, informasi lebih mudah diakses, mengurangi biaya oprasional dalam melaksanakan pemilihan atau pemungutan suara dan meminimalisir kekurangan yang ada pada cara pemungutan konfensional (dengan surat suara). Sejalan dengan perkembangan teknologi dan pengguna smartphone yang pesat, pemungutan dengan cara e-voting tentu sangat membantu dan mempercepat proses suatu pemilihan. Pemilihan ini nantinya dibantu dengan SPK Profile matching. Profile matching adalah sebuah mekanisme pengambilan keputusan dengan asumsi terdapat variable predictor ideal yang harus dimiliki oleh pelamar, bukannya tingkat minimal yang harus dipenuhi atau dilewati Kata Kunci: Aplikasi, E-Voting, Profile Matching, Mobile
Optimization of Alternative Assessment with Modified MOORA Method: Case Study of Contract Employee Selection Waqas Arshad, Muhammad; Sintaro, Sanriomi; Rahmanto, Yuri; Wantoro, Agus; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1891

Abstract

Multi-Objective Optimization by Ratio Analysis (MOORA) is a multi-criteria decision-making method used to evaluate and select the best alternative based on multiple objectives or criteria. One of the main disadvantages of the MOORA method is subjectivity in the determination of the weight of criteria. In this method, the decision maker must determine the relative weight of each criterion used to evaluate alternatives. Subjectivity in the weighting of criteria can also lead to inconsistencies between different decision makers or experts, resulting decisions can be less transparent and less acceptable to all parties involved, reducing confidence in the validity and accuracy of the results. Optimization of alternative assessment with modified MOORA method is to develop alternative assessment methods that are more accurate and objective by integrating standard deviation into the MOORA method. This study aims to overcome the weaknesses of conventional MOORA methods in dealing with data variation and assessment subjectivity by introducing a more data-driven mechanism of calculating the weight of criteria. Through testing and comparing performance between modified MOORA methods and conventional methods, this study aims to demonstrate improved accuracy, consistency, and reliability in alternative assessment results. In addition, this research is expected to provide practical implementation guidance for the application of the modified MOORA method in the Decision Support System (DSS), so as to improve the efficiency and quality of decision making in various sectors. The ranking results showed that the results of rank 1 were obtained by Employee 6 with a final score of 0.3375, rank 2 was obtained by Employee 3 with a final score of 0.2904, and rank 3 was obtained by Employee 7 with a final score of 0.2756. The results of the comparison test of the original rank with SD-MOORA showed a correlation value of 1, so it can be concluded that there is a very strong and positive relationship between the original rating and the SD-MOORA rating. This shows that the rating produced by SD-MOORA is very consistent with the original ranking, thus giving validity to the effectiveness of SD-MOORA in replicating the original rating results more objectively and efficiently. The results of the SD-MOORA modification showed significant improvements in the accuracy and objectivity of decision making.
Combination of Weighted Product Method and Entropy Weighting in the Best Warehouse Employee Recommendation Waqas Arshad, Muhammad; Darwis, Dedi; Sulistiani, Heni; Suryono, Ryan Randy; Rahmanto, Yuri; Megawaty, Dyah Ayu; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2095

Abstract

The best warehouse employees are individuals who show exceptional dedication and precision in carrying out their duties. Not only do they ensure that every process, from receipt to delivery, is carried out with high accuracy, but they are also proactive in finding ways to improve operational efficiency. The main problem lies in the proper assessment of employees' technical skills and soft skills, such as rigor, time management ability, and teamwork. Additionally, the selection process can be complicated when it comes to balancing previous work experience and adaptability to new technologies. Without effective assessment methods, the risk of selecting the wrong employee can negatively impact the overall productivity and operational efficiency of the warehouse. The purpose of the study, which combines entropy weighting method with the WP method is an approach that can increase objectivity and accuracy in multi-criteria decision-making. In this combination, the Entropy method is used first to objectively determine the weight of the criteria based on the degree of variation or information contained in the data of each criterion. The weights generated by the Entropy method reflect the importance of criteria based on how much information is provided, assuming that criteria with more variety have more information. Once the weights are determined, the Weighted Product method is used to evaluate and rank alternatives. Based on the results of the recommendation for the selection of the best warehouse employee Hadi occupies the top position in the selection of the best warehouse employee with a score of 0.07194. His position was followed by Putri who got a score of 0.07082, showing a performance that was also very good and only slightly below Hadi. Budi is ranked third with a score of 0.06621, while Deni is ranked fourth and Kiki is fifth with a score of 0.06544 and 0.06524, respectively. The score obtained by each employee shows a relatively small difference, reflecting the fierce competition and high quality of performance among the employees
Decision Support System for Optimizing Supplier Selection Using TOPSIS and Entropy Weighting Methods Yudhistira, Aditia; Wang, Junhai; Rahmanto, Yuri; Setiawansyah, Setiawansyah
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 5 (2024): JPTI - Mei 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.456

Abstract

Supplier selection is a crucial process in supply chain management, where companies must determine the best suppliers who are able to meet their needs based on various criteria. Companies often face challenges in managing the various factors that influence supplier selection decisions, suppliers that offer low prices may not always provide the best quality or consistent delivery times. Optimizing supplier selection through the DSS approach, companies can build stronger relationships with high-performing suppliers, while improving overall business resilience and competitiveness. The combination of the TOPSIS method and entropy weighting in supplier selection optimization provides a robust approach to evaluating and selecting the best suppliers based on predetermined criteria. This combination not only improves objectivity and accuracy in the evaluation process, but also allows decision-makers to consider trade-offs between various criteria more effectively. The purpose of the research of the combination of the TOPSIS method and entropy weighting in optimizing supplier selection is to produce objective and data-based criteria weighting through the application of the entropy weighting method, thereby reducing subjectivity in the supplier selection process. The results of the preference value calculated using the TOPSIS method resulted in the first rank with the highest preference value of 0.78393, followed by GH Supplier with a value of 0.75611, and FR Supplier in third place with a value of 0.6913. The next supplier is Supplier AG with a value of 0.59912, followed by Supplier BR with 0.51682, and Supplier TR in sixth position with 0.465. Supplier IH has a preference value of 0.43166, followed by Supplier YS with a value of 0.3984, and finally Supplier RT is in the lowest position with a value of 0.35517. This ranking shows that US Supplier is the best supplier, while Supplier RT is the lowest choice based on the criteria used.
Implementation of the Geometric Mean Multi-Attribute Utility Theory (G-MAUT) in Determining the Best Honorary Employees Setiawansyah, Setiawansyah; Rahmanto, Yuri; Ulum, Faruk; Triyanto, Dedi
Jurnal Ilmiah Computer Science Vol. 3 No. 2 (2025): Volume 3 Number 2 January 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v3i2.50

Abstract

Determining the best honorary employees is a strategic step to appreciate performance, increase motivation, and encourage productivity in the work environment. This process is carried out by evaluating employees based on certain criteria. The main problem in determining the best honorary employees is the lack of objectivity and transparency in the assessment process, which often leads to dissatisfaction among employees. Judgments that rely solely on subjective perceptions without considering measurable quantitative data can result in unfair decisions. The purpose of applying the Geometric Mean Multi-Attribute Utility Theory (G-MAUT) method in determining the best honorary employees is to provide a more objective, transparent, and accurate evaluation framework in decision-making. This method not only supports a fairer selection process, but also encourages increased motivation and performance among honorary employees. The results of the calculation of the final utility value carried out using the G-MAUT method, the results of the evaluation of eight honorary employees showed their performance ratings comprehensively. Honorary Employee F has the highest utility value of 0.6399, making it the best honorarium employee among all available alternatives. Followed by Honorary Employee A who was ranked second with a utility value of 0.4685, and Honorary Employee D in third place with a value of 0.3947. These results provide a clear picture of the order of employees based on their performance in various criteria that have been assessed.
Modification of the Grey Relational Analysis Method in Determining the Best Mechanic Arshad, Muhammad Waqas; Sulistiani, Heni; Maryana, Sufiatul; Palupiningsih, Pritasari; Rahmanto, Yuri; Setiawansyah, Setiawansyah
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5678

Abstract

Determining the best mechanics in the industry has an important role to ensure the quality and reliability of the products and services offered. Competent and experienced mechanics are able to diagnose and repair accurately and efficiently, thereby minimizing operational downtime and increasing productivity. Without a structured system, mechanical performance appraisals tend to be subjective and inconsistent, which can lead to dissatisfaction among employees and customers. Mechanics may not get clear and constructive feedback on their performance, thus hindering skill development and professionalism. The purpose of the research of the modified Grey Relational Analysis (GRA) using standard deviation is to improve the accuracy and reliability of the decision-making process in situations where the data has a high degree of variability or significant uncertainty. By integrating standard deviations into the GRA, the study aims to account for variations and fluctuations in the data, which allows for more accurate and representative assessment of the criteria. This modification is expected to overcome the weaknesses of traditional GRAs that may not adequately consider data uncertainty, as well as produce more robust and realistic alternative rankings. The results of the best ranking of mechanics, Mechanic FR ranks first with a value of 0.11, followed by Mechanic HS with a value of 0.104. The third place was occupied by Mechanic AY with a score of 0.099.
Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method Wang, Junhai; Isnain, Auliya Rahman; Suryono, Ryan Randy; Rahmanto, Yuri; Mesran, Mesran; Setiawansyah, Setiawansyah
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.5990

Abstract

Platforms in e-commerce are digital systems that allow online transactions to buy and sell products or services. E-commerce platforms also provide benefits for business actors because they are able to reach a wider market without geographical restrictions, while offering efficiency in business operations. The main problem in choosing a platform for e-commerce is often related to the sheer number of options available and the variety of criteria that must be considered. Criteria such as fees, platform popularity, transaction security, ease of use, features provided, as well as customer service support are important factors in determining the most suitable platform. The implementation of a decision support system to help select the optimal e-commerce platform by applying the OWH-TOPSIS method shows that this system can provide accurate and effective recommendations, so that it can be used as a reference for users in determining the e-commerce platform that suits their needs. The decision support system using the OWH-TOPSIS method provides an efficient and objective solution in the selection of e-commerce platforms. The results of the ranking of the best e-commerce platforms show that Platform D occupies the top position with the highest score value, which is 0.882. In second place is Platform E which obtained a score of 0.8599, followed by Platform A with a score of 0.8341.
Implementation of MABAC Method and Entropy Weighting in Determining the Best E-Commerce Platform for Online Business Wang, Junhai; Darwis, Dedi; Setiawansyah, Setiawansyah; Rahmanto, Yuri
JiTEKH Vol. 12 No. 2 (2024): September 2024
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v12i2.1000

Abstract

The main problem in choosing an e-commerce platform for an online business is finding the one that best suits the specific needs of the business. Each platform has its advantages and disadvantages, such as ease of use, cost, features offered, as well as support for inventory management, shipping, and payments. Other challenges include ensuring that the platform can support future business growth, offer good scalability, and provide flexibility in terms of customization and integration with digital marketing tools. In addition, data security and a good user experience are also important considerations for long-term success. The purpose of this study is to implement the MABAC method and Entropy weighting in determining the best e-commerce platform for online businesses, so that this research can provide clear and data-driven recommendations to stakeholders regarding the most effective e-commerce platform. The application of the MABAC method combined with Entropy weighting in determining the best e-commerce platform for online business people offers a comprehensive and objective approach in decision-making. This combination not only improves decision-making accuracy, but also ensures that the most important criteria are weighted accordingly, resulting in more reliable results in choosing the best platform for business needs. The final result of the MABAC Platform A score is the first choice, considering the highest score of 0.82, which indicates its optimal performance in meeting the criteria that have been set. In addition, Platforms B and C, with scores of 0.78 and 0.75, respectively.
Employee Performance Evaluation Using the Standard Method of Deviation Multi-Objective Optimization by Ratio Analysis Isnain, Auliya Rahman; Rahmanto, Yuri
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 4 (2024): Volume 2 Number 4 October 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i4.164

Abstract

Employee performance refers to the extent to which an employee can achieve the goals and expectations that have been set by the organization, both in terms of quantity and quality of work. Employee performance appraisals cover various aspects, such as productivity, skills, discipline, creativity, and the ability to adapt to change. The main problem in employee performance evaluation is often related to the accuracy of assessments of various aspects of performance. Employee performance appraisal is a systematic process to evaluate the extent to which an employee meets the standards set by the organization in carrying out his or her duties and responsibilities. The purpose of this study is to apply the SD-MOORA method in evaluating employee performance objectively and comprehensively in the evaluation process, improve the accuracy of assessment, and provide a clearer picture of employee performance based on relevant criteria. The results of employee performance evaluation using the SD-MOORA method show that Siti Aisyah and Dina Putri occupy the top position with the same preference value, which is 0.47715, which indicates that their performance is superior in meeting the evaluation criteria. Both of these employees demonstrated consistent performance across the various aspects measured. In second place, there is Ahmad Firdaus with a preference score of 0.42932, which also reflects a fairly good contribution, although slightly lower than the two employees in the first rank. These results provide guidance for management to identify the best performing employees as well as design appropriate development strategies for other employees to increase their contributions in the future.
Decision Support System for Choosing the Best Shipping Service for E-Commerce Using the SAW and CRITIC Methods Wang, Junhai; Setiawansyah, Setiawansyah; Rahmanto, Yuri; Asistyasari, Ayuni
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 2 (2024): Volume 3 Number 2 September 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i2.32

Abstract

Choosing the best delivery service for e-commerce is a crucial step that can affect customer satisfaction and overall business success. In today's digital era, consumers expect fast, secure, and affordable delivery. The main problem in choosing the best shipping service for e-commerce is often related to several interrelated factors, which can affect the customer experience and business sustainability. One of the biggest challenges is ensuring that products reach customers within the promised time. Delays in delivery can lead to customer dissatisfaction and potentially damage a business's reputation. The combination of SAW and CRITIC methods provides a powerful approach to multi-criteria decision-making. By leveraging the advantages of each method, users can objectively determine the weight of the criteria and evaluate alternatives in a systematic and transparent way. This approach not only improves the accuracy of decisions but also increases decision-makers confidence in the results obtained. Based on the results of the ranking using the method that has been applied, the alternative with the highest score is Pos Indonesia (A6) with a final score of 0.82506, followed by JNE (A1) with a score of 0.76181, and Tiki (A2) with a score of 0.72127. Based on these values, Pos Indonesia ranks first as the best service provider.
Co-Authors ., Rusliyawati Abhishek R Mehta Achmad Yudi Wahyudin Adam Saputra Ade Dwi Putra Ade Dwi Putra Ade Surahman Adhie Thyo Priandika Aditia Yudhistira Adiyta Yudistira Ady Chandra Afrianto Afrianto Afrianto Agung Saputra Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Fathurrozi Ahmad Rifki Irliando Aidil Akbar Akhmad Jayadi Alfian, Joni Alita, Debby Almira Devita Putri Alpiana, Nopiah Amat Damuri Amik Herningsih Anang Burlian Andi Nurkholis Andika, Reza Anggun Putri Kinanti Ani Sesanti Aprian Nuriansah Ari Sulistiyawati Arie Qur’ania Arinda Rifaini Arnando Fajar Sidhiq Arshad, Muhammad Waqas Arsy Berlian Sutarman Asistyasari, Ayuni Bagas Setiawan Benhouzer N.P Pasaribu Bentar Priyopradono Budi Waluyo Daffa Pertama Damayanti Damayanti Damayanti, Damayanti Debby Alita Dedi Darwis Dedi Triyanto Devin Pratama Donaya Pasha Dyah Aminatun Dyah Ayu Megawaty Eko Bagus Fahrizqi Enda Tri Ifanda Fatimah Nur Aini Fatriana, Nina Fernando, Yusra Fikih Yuhada Sena Fikri Hamidy Fira Aulia Fitratullah, M. Gunawan, Rakhmat Dedi Handika, H Hari Setiyani Heni Sulistiani Heni Sulistiani Heni Sulistiyani Ida Bagus Suwisma Ikbal Yasin Imam Ahmad Intan Anggrenia Irwan Tubagus Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Izudin Ismail Jeni Sagita Jeni Sagita Putri Johansyah Johansyah Joko Trianto Joni Alfian Khoirunnisa, Yosi Kinanti, Anggun Putri Kurniawan, Arsy Lestari, Ova Lili Andraini Lulud Oktaviani Megawaty, Dyah Ayu Mesran, Mesran Moh. Erkamim Muhammad Akbar Muhammad Alip Pratama Muhammad Bakri Muhammad Irfan Hafidhin Muhammad Najib Dwi Satria Nanang Sadikin Nina Fatriana Nopiah Alpiana novi yona sidratul munti Nuralia Nuralia Nurhasan Nugroho Palupiningsih, Pritasari Parjito Parjito Pasaribu, A. Ferico Octaviansyah Permata Permata Permata Permata Prastowo, Agung Tri Priandika, Adhie Thyo Priskilia Lovika Putra, Ade Dwi Putri, Jeni Sagita Rahayu, Masnia Recxy Yuda Utama Rendy Ramadhan Rhaishudin Jafar Rumandan Rido Febriansyah Riduwan Napianto Rini Nuraini Rio Andika Rizki Febrianto Rohmat Indra Borman Ryan Randy Suryono S. Samsugi Sampurna Dadi Riskiono Sanriomi Sintaro Sari, Priskila Lovika Selfia Agustina Sesanti, Ani Setiawansyah Setiawansyah Shiwi Angelica Cindiyasari Silvia Damayanti Silvia Damayanti Siti Hotijah Sitna Hajar Hadad Stevani Natasiyah Stiawan, Fengky Styawati Styawati Styawati, Styawati suaidah suaidah suaidah suaidah Subhan Subhan Sufiatul Maryana Sumanto, Sumanto Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Tonggiroh, Mursalim Trinugi Wira Harjanti Ulum, Faruk Very Hendra Saputra Very Hendra Saputra Wang, Junhai Waqas Arshad, Muhammad Willyan Dafit Prayoga Wulan Agustin yasin, ikbal YOHANA TRI UTAMI, YOHANA TRI Yudha, Sandy Yusuf Faqih Zulhan Amir