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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Teknoinfo Jurnal Tekno Kompak Building of Informatics, Technology and Science Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Teknik Informatika (JUTIF) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak 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 JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science 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 Jurnal Media Jawadwipa
Priandika, Adhie Thyo
Universitas Teknokrat Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Kombinasi Metode Pembobotan Entropy dan MARCOS Dalam Seleksi Penerimaan Karyawan Divisi Keuangan Wahyuni, Dita Septia; Priandika, Adhie Thyo
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.v6i3.5835

Abstract

The selection of employees for the Finance Division is a crucial process to ensure that the selected individuals have the appropriate skills and qualifications to handle complex financial responsibilities. The main problems in the selection of Finance Division employees often revolve around the difficulty in accurately assessing the candidate's technical skills and analytical abilities. The experience and qualifications listed on a resume do not necessarily reflect the candidate's apparent ability to handle complex financial situations or in the face of stringent regulatory challenges. This study aims to apply a combination of entropy and MARCOS weighting methods in the selection of employees of the Finance Division, in order to improve the objectivity and accuracy of the decision-making process. Through this approach, to identify candidates who best suit the company's needs and requirements based on a comprehensive multi-criteria analysis. The combination of Entropy and MARCOS weighting methods in the selection of financial division employees provides a comprehensive and objective approach in decision-making. The Entropy method is used to objectively determine the weight of the criteria based on the degree of uncertainty of the information provided by each criterion, the MARCOS method is used to evaluate and rank candidates based on their proximity to the ideal solution and the distance from the anti-ideal solution. The results of the financial division employee acceptance selection ranking show that Budi Santoso occupies the top position with the highest score of 4.8848. These results provide a clear picture of each candidate's relative position in terms of final assessment, and can serve as a basis for more targeted and objective hiring decisions.
Penerapan Kombinasi Metode Pembobotan Entropy dan Technique for Order of Preference by Similarity to Ideal Solution Dalam Pemilihan Karyawan Terbaik Ningsih, Ristia; Priandika, Adhie Thyo
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.v6i3.5896

Abstract

The process of selecting the best employees often faces various challenges that can affect the objectivity and fairness of the results. One of the main issues is the objectivity of selecting the best employees, where appraisers may have personal preferences or prejudices that influence their decisions in making the best employee selection. This study aims to apply a more objective and systematic approach in assessing employee criteria and integrate these factors into a more structured decision-making process. By using the entropy weighting method to objectively determine the weight of the criteria and TOPSIS to rank employees based on their proximity to the ideal solution, this study is expected to provide a solid foundation for more accurate and reliable decision-making in human resource management. The application of a combination of entropy weighting and TOPSIS methods in the selection of the best employees offers a comprehensive and structured approach in overcoming the complexity of human resource evaluation. The entropy weighting method is used to objectively determine the weight of the criteria based on data variation, thereby reducing subjectivity in assessment. Meanwhile, TOPSIS is used to rank employees based on their proximity to the positive ideal solution and their distance from the negative ideal solution. The combination of these two methods allows decision-makers to integrate different aspects of employee criteria. The results of the ranking of the best employees gave the results of the first best employee with a final preference score of 0.97858 obtained by Aisyah, the best second employee with a final preference score of 0.79125 obtained by Misri, and the third best employee with a final preference score of 0.69712 obtained by Rudi Setiawan.
Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Kombinasi Pembobotan Logarithmic Least Square dan MOORA Rifaldo, Setiawan; Priandika, Adhie Thyo
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.v6i3.5897

Abstract

The best customers are individuals or groups who not only transact frequently but also provide more value to the business through loyalty, positive feedback, and referrals to others. They typically show a high level of satisfaction with the product or service offered, potentially bringing in new customers and improving the company's reputation. Selecting the best customers is often faced with a variety of issues that can affect the accuracy and effectiveness of the process. One of the main problems that occurs is the lack of a model used in determining the best customers. The purpose of this research is to implement a system that is able to effectively and accurately identify the best customers by integrating the LLS weighting technique and the MOORA method. In addition, this study also aims to overcome the shortcomings of existing weighting and evaluation methods by integrating the two techniques, providing a more robust and adaptive solution in the context of data-based decision-making. The ranking results in determining the best customers obtained the result, namely Sabtoni occupies the first position with the highest score of 0.47344. Furthermore, Zahra is in second place with a score of 0.39815, followed by Tuty with a value of 0.39498 in third place.
Kombinasi Metode Analytical Hierarchy Process (AHP) dengan Metode Weighted Product (WP) pada Sistem Pendukung Keputusan Pemilihan Rumah Ideal Wantoro, Agus; Lutfy, Azza’zunda Choibar; Permata, Permata; Priandika, Adhie Thyo; Aryani, Venty
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 9 (2024): JPTI - September 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.485

Abstract

Pemilihan rumah ideal merupakan keputusan penting yang memerlukan pertimbangan berbagai aspek untuk memastikan pilihan yang optimal. Rumah ideal biasanya dinilai dari beberapa kriteria utama, seperti harga, luas tanah, luas bangunan, jumlah kamar tidur, dan jarak lokasi dari pusat aktivitas. Namun, proses pemilihan rumah ideal sering menghadapi tantangan, seperti kesulitan dalam membandingkan berbagai alternatif yang memiliki berbagai kriteria dengan bobot yang berbeda. Penelitian ini bertujuan mengatasi permasalahan tersebut dengan menggunakan pendekatan metode sistem pendukung keputusan yaitu Pembobotan Matriks Berpasangan dari metode AHP dan Weighted Product (WP). Metode AHP digunakan untuk menentukan bobot relatif dari setiap kriteria berdasarkan penilaian dan perbandingan berpasangan. Metode WP digunakan untuk menghitung dan membandingkan alternatif berdasarkan bobot yang telah ditentukan. Data yang digunakan diambil dari situs web properti www.rumah123.com, yang mencakup informasi tentang (a) harga, (b) luas tanah, (b) luas bangunan, (c) jumlah kamar tidur, dan (d) jarak lokasi rumah di Bandar Lampung. Berdasarkan hasil analisis perhitungan menggunakan kombinasi metode Analytic Hierarchy Process (AHP), dan Weighted Product (WP) didapatkan nilai total untuk masing-masing alternatif yaitu (a) Mahkota Cluster 2 sebesar 0,2077, (b) Budaya Residence sebesar 0,2074, (c) Griya Anzana 3 sebesar 0,1968, (d) Raih Persada Residence sebesar 0,1960, (e) Ar-Rahman Residence sebesar 0,1921, (f) New Cordy Residences sebesar 0,1806, dan (g) The Rose Mansion sebesar 0,1737. Hasil perangkingan didapatkan Mahkota Cluster 2 merupakan alternatif rumah ideal terbaik di Bandar Lampung. Alternatif ini unggul dalam beberapa kriteria penting seperti jumlah kamar tidur, luas bangunan, serta harga yang kompetitif, meskipun jaraknya tidak yang terdekat dari pusat aktivitas. Penelitian ini memberikan informasi berupa rekomendasi bagi masyarakat yang ingin memilih rumah ideal agar tidak salah mengambil keputusan.
Penerapan Platform DigiLearnHub Untuk Meningkatkan Kemampuan Literasi dan Numerasi Siswa Serta Pelayanan Administrasi di SMAS Kesuma Bakti Priandika, Adhie Thyo; Saputra, Very Hendra; An’ars, M. Ghufroni; Darwis, Dedi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4731

Abstract

SMAS Kesuma Bakti Bekri (SMAS-KBB) has several priority issues that need to be addressed, includingThe educational report score for literacy skills at SMAS-KBB is still categorized as poor, with a score of 33.33. The educational report score for numeracy skills at SMAS-KBB is also categorized as poor, with a score of 35.56. The management of the school's administrative and financial services system has not been optimized. Based on these priority issues, the proposed solutions areImplementing the DigiLearnHub Platform. Providing training and assistance to teachers in creating and designing engaging literacy and numeracy learning content to be used on the DigiLearnHub platform. Providing training and assistance to students on the use of the DigiLearnHub platform and the importance of improving literacy and numeracy learning as a foundation for mastering science and technology. Implementing an application that can be accessed digitally through the website and mobile for real-time School Administration System. Based on the evaluation results, there was an 84.85% improvement in teachers' ability to create literacy and numeracy learning content. Furthermore, based on post-test results conducted with students, there was an increase in the average student score, with literacy achieving 87.2 and numeracy 86.2. This indicates an improvement in literacy and numeracy learning quality, which is expected to prepare students for the ANBK. In addition, the school administrative service application has improved the school's administrative and financial services. According to survey results, 87% of students and parents expressed high satisfaction with the services provided through the school administration and financial application.
Sistem Informasi Administrasi Surat Menyurat Pada Kantor Balai Desa Jatimulyo Putri, Jeni Sagita; Priandika, Adhie Thyo; Rahmanto, Yuri
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 1 (2023): Volume 1 Number 1 January 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v1i1.1

Abstract

Kantor Balai Desa Jatimulyo merupakan tempat pelayanan administrasi warga. Sebagai salah satu contoh yaitu pembuatan surat menyurat. Pelayanan surat menyurat ini dilakukan oleh operator atau admin yang bertugas di kantor pelayanan. Namun dalam menjalankan tugasnya, terdapat beberapa kendala yaitu warga yang belum mengetahui alur dalam pembuatan surat, warga yang tidak melengkapi syarat dalam pembuatan surat, dan warga yang harus mengantri dan menunggu dalam pembuatan surat. Untuk memecahkan masalah tersebut, maka dalam penelitian ini dirancang sebuah sistem aplikasi surat menyurat sehingga dapat meningkatkan sistem kerja pegawai Kantor Balai Desa Jatimulyo. Dalam penelitian ini metode yang digunakan yaitu pengembangan metode waterfall dan sistem perancangan untuk penelitian ini menggunakan UML, serta pengujian sistem menggunakan Black Box Testing serta User Acceptance Test. Pengujian pada sistem ini menghasilkan persentase 100% untuk pengujian Black Box Testing dan 89.2% untuk pengujian User Acceptance Test warga serta 94.2% dari User Acceptance Test admin/operator. Hasil yang didapat pada penelitian ini adalah sebuah aplikasi administrasi surat menyurat yang diharapkan dapat mempermudah dan membantu para staff dan warga jatimulyo dalam melakukan proses pembuatan surat
Pendekatan Hybrid Respond to Criteria Weighting dan Utalities Theory Additives untuk Pemilihan Supplier Bahan Baku dalam Industri Makanan A’yun, M Qurrota; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.516

Abstract

Choosing the right raw material supplier is a crucial factor in maintaining quality and production continuity in the food industry. This study proposes a hybrid approach that combines the Respond to Criteria Weighting (RECA) method to objectively determine the weight of the criteria and the Utilities Theory Additives (UTA) method to evaluate alternatives based on partial utility functions. This approach is designed to accommodate the complexity of decision-maker preferences as well as the multi-criteria assessment dynamics that often occur in the supplier selection process. Case studies were conducted on several supplier alternatives by considering various criteria. The results of the ranking of alternative suppliers based on the combination of the RECA and UTA methods can be seen that the MB alternative obtained the highest score of 0.8578 as the first rank, followed in order by TM obtained a score of 0.8576 as the second rank, and AJ obtained a score of 0.8573 as the third rank. The results of the analysis show that the combination of the two methods is able to produce accurate, consistent, and relevant ratings to the strategic needs of the company. This approach makes a significant contribution to improving objectivity, transparency, and efficiency in decision-making, particularly in the food industry sector which relies heavily on supply chain reliability.
Penerapan Kombinasi Metode Entropy dan SMART Dalam Pemilihan Kepala Divisi Keuangan Yusran, Muhamad; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.517

Abstract

The election of the Head of the Finance Division is an important decision that requires an objective and systematic evaluation of the existing candidates. This study proposes the application of a combination of Entropy and SMART (Simple Multi-Attribute Rating Technique) methods to support the decision-making process in the election of the Head of the Finance Division. The Entropy method is used to objectively determine the weight of the criteria, based on the distribution of candidate assessment data, while the SMART method is applied to assess each candidate based on predetermined criteria. The results of the ranking of candidates for the Head of the Finance Division are based on the final score obtained by each candidate. Based on these results, candidate A5: Eko Prabowo ranks highest with a score of 0.6667, followed by A7: Gita Susanti with a score of 0.6097. These results show that Eko Prabowo is the most superior candidate to be considered as the Head of the Finance Division, based on the assessment method used in this study. The combination of these two methods allows for more accurate, transparent and accountable decision-making, as it is based on objective and structured calculations.
Sistem Pendukung Keputusan Pemberian Kredit Kendaraan Menggunakan G2M Weighting dan Metode Comprehensive Distance Based Ranking Simamora, Parningotan; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.518

Abstract

Providing vehicle loans is one of the important services in the financing sector that requires an objective and accurate evaluation process of prospective debtors. This research aims to develop a Decision Support System (SPK) that can assist in the selection process of providing vehicle credit by combining the G2M Weighting and Comprehensive Distance-Based Ranking methods. The G2M method is used to objectively determine the weight of criteria based on multi-assessment analysis, while the CDR method is used to conduct alternative rankings based on a comprehensive distance to ideal and non-ideal solutions. The results of the calculation using the comprehensive distance-based ranking method, Gita ranked first with a final value of -0.0098, showing that it has the closest distance to ideal conditions and the furthest from non-ideal conditions compared to other alternatives. In second place is Ahmad with a value of -0.0067, followed by Hadi in third place with a value of -0.0042. The final results show that the combination of these two methods is able to provide effective recommendations in identifying potential debtors who are most deserving of credit, taking into account all assessment criteria in a comprehensive and structured manner. This system is expected to improve decision-making accuracy, speed up the selection process, and minimize the risk of errors in vehicle lending.
Implementation of the Standard Deviation Multi-Objective Optimization by Ratio Analysis Method in Warehouse Staff Recruitment Selection Putra, Farhan Nopransyah; Priandika, Adhie Thyo
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8373

Abstract

The warehouse staff selection process has a crucial role in ensuring optimal operational efficiency and logistics management. A selection approach that considers aspects of technical skills, work experience, and compatibility with the organization's culture is essential in ensuring the efficiency and effectiveness of logistics management. The labor selection process, including in the context of warehouse staff recruitment, often faces challenges due to subjectivity in decision-making. The implementation of the SD-MOORA method is the main goal in this study in the process of accepting warehouse staff to improve the objectivity and accuracy of candidate selection, the results of this study are expected to contribute to improving the efficiency of the labor selection process and support data-based decision-making in human resource management. The data used in this study consists of 8 candidates and 6 criteria in the selection of warehouse staff admission. The final outcome of optimizing the SD-MOORA method for ranking warehouse staff admissions shows that GT secured the top rank with a value of 0.3827, indicating it is the most suitable candidate according to the selection criteria. AN followed in second place with a score of 0.3752, and BD placed third with a score of 0.3579. This study significantly contributes to advancing the development of decision support systems for warehouse staff selection by applying the SD-MOORA method. By objectively considering the weighting of criteria using standard deviations, this approach enhances both the accuracy and transparency of candidate rankings.
Co-Authors Ade Dwi Putra Ade Surahman Adi Adi Sucipto Adi Sucipto, Adi Aditya Saputra Afitra Tanthowi Agus Irawan Agus Wantoro Agus Wantoro Ahdan, Syaiful Ahmad Devin Alfitra Tantowi Anas Apririansyah Andi Nurkholis Anggun Dewi Utami Anggun Maylani Anisa Lestari Anissa Anggraini Annisa Anggraini An’ars, M. Ghufroni Ari Najeri Ari Sulistiyawati Arif Budiman Aryani, Venty A’yun, M Qurrota Bagas Aditama Bayu Pratama Bustanul Ulum Dedi Darwis Dedi Irawan Dellys Okta Wibowo Dina Ros Muryana Donaya Pasha Donaya Pasha Doni Riswanda Doni Riswanda Dwi Rahma Sari Dyah Ayu Megawaty Ebi Supriyadi Edison, Arif Rahman Edvan Agus Pratama Eky Khoiril Ulama Erliyan Redy Susanto Fazri Syanofri Fenty ariany Fitratullah, M. Fuad Surya Mawinar Gantar Galang Toyyibah Gunawan, Rakhmat Dedi Harry Anggono Hayatunnisa, Destaria Heni Sulistiani Imam Asyrofi Alfarisi Imroatun Qoniah Intan Anggrenia Isnain, Auliya Rahman Jeni Sagita Jeni Sagita Putri Johansyah Johansyah josua Armando silalahi Koeswara, Wawan Linda Fatmawati Lutfy, Azza’zunda Choibar Meiwidia Seftiana Mico Fahrizal Mirza Wijaya Putra Muhamad Amirudin Muhammad Alba Muhammad Indigo Muhammad Rahadiyan Bagaskara Muhaqiqin muhaqiqin Muhtad Fadly Ningsih, Ristia Octaviansyah, A. Ferico Pamungkas, Rastomi Parjito Parjito Pasaribu, A. Ferico Octaviansyah Permata Permata Permata, Permata Prabowo, Fransiskus Wahyu Sandy Prasetyo Bella Ramadhanu Prastowo, Agung Tri Putra, Farhan Nopransyah Putri, Jeni Sagita Rahmat Dedi Gunawan Rakhmad Dedi Gunawan Riduan Napianto Ridwan Janata Rifaldo, Setiawan Riski Etien Malovi Rizki Putra Utama Rohaniah Rohaniah Rohmat Indra Borman Rosella, Rosella S. Samsugi Safira, Wilga Salsabila Indriyani Sanriomi Sintaro Sari, Kevinda Setiawansyah Setiawansyah Setiawansyah Setiawansyah Setyani, Tria Sherly Octavia Simamora, Parningotan Sinta Agita Sari Stevan Corry Polanco suaidah suaidah Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Very Hendra Saputra Wadiyan, Wadiyan Wahyu Widiantoro Wahyudi, Agung Deni Wahyuni, Dita Septia Wilga Safira Yogi Suwarno YOHANA TRI UTAMI, YOHANA TRI Yuri Rahmanto Yusma Indonesian Yusran, Muhamad