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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi Jurnal Ilmiah FIFO CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Network Engineering Research Operation [NERO] Jurnal Teknoinfo Jurnal Tekno Kompak Building of Informatics, Technology and Science TIN: TERAPAN INFORMATIKA NUSANTARA Mattawang: Jurnal Pengabdian Masyarakat Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Media Borneo CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Jurnal Media Jawadwipa Swarnadwipa JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
Pasaribu, A. Ferico Octaviansyah
Fakultas Teknik Dan Ilmu Komputer, Universitas Teknokrat Indonesia
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RAM-MEREC (Root Assessment Method - Method based on Removal Effects of Criteria): A Synergistic Approach to Weight Derivationand Alternative Ranking in the Selection of the Best Intern Employees Permata, Permata; Wang, Junhai; Setiawansyah, Setiawansyah; Pasaribu, A. Ferico Octaviansyah; Wahyudi, Agung Deni
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7198

Abstract

An effective intern selection process requires an objective and systematic approach to decision-making, especially when it involves multiple assessment criteria. This study proposes a combined approach of RAM-MEREC, which is a combination of Method based on Removal Effects of Criteria (MEREC) and Root Assessment Method (RAM), as a method to improve accuracy and reliability in the best internal selection. MEREC is used to objectively determine the weight of criteria based on the impact of the elimination of each criterion on the overall outcome. Meanwhile, RAM is used to generate alternative rankings by considering the root impact of value changes on each candidate's performance. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the calculation of the total score of all alternatives using the evaluation method that has been determined, obtained that Alternative 10 is the best candidate with the highest score of 1.4378, followed by Alternative 6 with a score of 1.4375 and Alternative 3 with a score of 1.4375. This approach not only improves the quality of decision-making, but also minimizes subjectivity and bias in the selection process.
Implementasi Kombinasi LOPCOW dan Operational Competitiveness Rating Analysis Dalam Rekomendasi Tempat Wisata Indoor Setiawan, Gde Denny; Octaviansyah Pasaribu, A. Ferico
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 9 No. 2 (2024): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v9i2.1914

Abstract

Indoor attractions offer an exciting and comfortable holiday experience, especially for those who want to avoid extreme weather or want indoor comfort. The selection of indoor attractions is often faced with various problems involving distance, price, rating, and cleanliness. All these factors must be carefully considered to ensure that the chosen indoor attraction can provide a satisfying and enjoyable experience. The application of a combination of Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) and Operational Competitiveness Rating Analysis (OCRA) in the performance evaluation of business alternatives offers an innovative and robust approach to decision making. LOPCOW allows objective determination of criteria weighting based on logarithmic percentage changes, emphasizing the dynamics of relative performance changes between criteria. Integration with OCRA, which evaluates operational competitiveness through efficient ratio analysis. The ranking results showed that the first best rank was obtained by Puncak Mas with a final value of 1.2596, the second-best rank was obtained by Wira Garden with a final value of 1.1607, the third best rank was obtained by Lampung Walk with a final value of 1.0289. The combination of these two methods increases the accuracy and reliability of ranking results, assisting decision makers in choosing truly superior alternatives based on relevant and up-to-date data. By utilizing data-driven analysis and robust methodologies, the decision-making process becomes more efficient and can be done faster, saving time and resources.
PENERAPAN ALGORITMA SVM UNTUK ANALISIS SENTIMEN PADA DATA TWITTER KOMISI PEMBERANTASAN KORUPSI REPUBLIK INDONESIA Darwis, Dedi; Pratiwi, Eka Shintya; Pasaribu, A Ferico Octaviansyah
EDUTIC Vol 7, No 1 (2020): NOVEMBER 2020
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v7i1.8779

Abstract

KPK RI merupakan lembaga terdepan yang memiliki kuasa penuh dan diharuskan untuk memberikan kinerja yang baik dalam memberantas tindak pidana korupsi. Namun dengan berkembangnya zaman, menjadikan masyarakat semakin mudah berselancar di media sosial untuk mengetahui informasi, dan bertukar informasi atau opini ke publik tanpa dibatasi ruang dan waktu. Media sosial twitter merupakan sala satu sosial media yang dijadikan sebagai wadah menampung opini tersebut. Metode klasifikasi yang digunakan pada penelitian ini adalah Support Vector Machine (SVM) dan ekstraksi fitur menggunakan TF-IDF. Dari 2000 data hasil twitter crawling, penelitian ini menghasilkan 1890 data dan 3846 term/kata dari hasil preprocessing lalu dihitung nilai dari kemunculan kata untuk labeling yang menghasilkan sentimen positif, negatif dan netral. Berdasarkan hasil pengujian yang dihasilkan, penerapan metode SVM menghasilkan nilai Akurasi sebesar 82% dan menghasilkan sentimen dengan label negatif lebih besar dengan jumlah 77%, label positif 8% dan label netral 25%.
Decision Support System for Determining Promotion Using a Combination of Entropy and Weighted Aggregated Sum Product Assessment Yudhistira, Aditia; Rahmanto, Yuri; Pasaribu, A. Ferico Octaviansyah; Yasin, Ikbal; Aldino, Ahmad Ari; Setiawansyah, Setiawansyah
Jurnal Ilmiah FIFO Vol 17, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i2.005

Abstract

Decision-making in determining employee promotions often faces challenges due to the subjectivity of assessments. To address this issue, this research develops a decision support system by combining the Entropy method and the Weighted Aggregated Sum Product Assessment (WASPAS). The Entropy method is used to objectively determine the weights of criteria based on data variation, while the WASPAS method is applied to comprehensively rank alternatives through the integration of the Weighted Sum Model (WSM) and Weighted Product Model (WPM). The test results on seven candidates showed that Candidate A-016 ranked first with a score of 0.9733, followed by Candidate A-013 with a score of 0.7454, and Candidate A-011 with a score of 0.5386. Meanwhile, the candidate with the lowest score was Candidate A-017 with a value of 0.3456. These findings prove that the combination of Entropy and WASPAS methods can produce a more objective, transparent, and solid basis for management to make fair and rational decisions in the promotion process.
Decision Support System for Video Editing Staff Recruitment Using a Combination of Entropy and Simple Additive Weighting Methods Wang, Junhai; Saputra, Very Hendra; Putra, Ade Dwi; Anars, M. Ghufroni; Pasaribu, A. Ferico Octaviansyah; Ardiansah, Temi
FORMAT Vol 15, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i1.006

Abstract

The recruitment process for video editing staff is a strategic stage in ensuring the quality of professional and competitive content production. However, candidate assessment often faces challenges of subjectivity and inaccuracy in decision-making when evaluators rely solely on intuitive judgment without a measured approach. This study aims to develop a decision support system based on Multi-Criteria Decision Making (MCDM) by integrating the Entropy method for objective determination of criteria weights and the Simple Additive Weighting (SAW) method in calculating the preference values of alternatives. Five evaluation criteria are used in the selection process, namely Editing, Creativity, Experience, Discipline, and Teamwork, with the final weights obtained through the Entropy method being 0.2867, 0.2248, 0.2573, 0.0685, and 0.1626. The study results show that the SAW method is capable of processing candidate evaluation scores comprehensively based on these weights, producing final scores that indicate the best candidates, namely Eko Firmansyah (0.986), Indra Mahendra (0.9699), and Candra Wijaya (0.9662) as the three candidates with the highest eligibility. This study demonstrates that the integration of the Entropy–SAW method is effective in creating a selection mechanism that is objective, transparent, and scientifically accountable, thus making a significant contribution to decision-making in the field of human resource management
Digitalisasi Sistem Perpustakaan Menggunakan Restful Web Service Ketut Risma Febi Kusuma; A Ferico Octaviansyah P; Yuri Rahmanto; Angga Bayu Santoso Angga; Fadhila Shelly Amalia; Ikbal Yasin
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 1 (2025): Volume 5, Nomor 1, June 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i1.551

Abstract

Perkembangan teknologi informasi telah mendorong berbagai institusi, termasuk instansi pemerintahan, untuk bertransformasi menuju sistem digital yang efisien, terstruktur dan terintegrasi. Salah satu aspek yang terdampak adalah sistem pengelolaan perpustakaan, yang menuntut kemudahan akses, kecepatan layanan dan interoperabilitas lintas platform. Penelitian ini bertujuan untuk mengembangkan sistem perpustakaan digital dengan mengimplementasikan RESTful Web Service sebagai solusi penghubung antara sisi klien dan server. Studi kasus dilakukan pada perpustakaan internal DPRD Provinsi Lampung yang masih menggunakan sistem semi-manual dengan keterbatasan pada integrasi dan akses data. Sistem yang dibangun menyediakan fitur input data buku, transaksi peminjaman, serta menggunakan format data JSON dan metode HTTP (GET, POST, PUT, DELETE) untuk pertukaran informasi. RESTful API memberikan keunggulan dalam hal modularitas kode serta kemudahan integrasi dengan aplikasi eksternal. Hasil implementasi menunjukkan sistem lebih efisien, dapat diakses secara luas melalui berbagai perangkat, dan memiliki tingkat reusabilitas yang tinggi. Penelitian ini menyimpulkan bahwa RESTful Web Service merupakan pendekatan yang tepat dalam membangun sistem perpustakaan digital yang modern, scalable dan aman.
Co-Authors Ade Dwi Putra ade rahman Ade Surahman Ade Surahman Adi Sucipto, Adi Aditia Yudhistira Agus Irawan Ahmad Ari Aldino Aldi Bagus Prasetyo Amik Herningsih Anars, M. Ghufroni Andi Nurkholis Angga Bayu Santoso Angga Ardiansah, Temi Arif Febriansyah Arifin Nur Dedi Darwis Dedi Darwis Dedi Irawan Depriansah Depriansah Donaya Pasha Eka Shintya Pratiwi Fachrul Kurnia Adam Fadhila Shelly Amalia Farid Jack Hendri Farid Jeck Fikri Hamidy Fredy Hermawan Gufran Umar, M. Kasyif Habib Rizki A.Siregar Ikbal Yasin Imam Ahmad Irna Puspasari Kadek Dwi Riska Santi Ketut Risma Febi Kusuma Kiki Septiani Leny Meilisa M. Rizky Fadhilah Mahdalena Serumpun Maria Ainun Nazar Maulana Aziz Assuja Muhammad Al Khusnul Rizki Nita Afriani Novi Eka Wati Nurfitria Ningsi Nuroji Nuroji Nuroji Nuroji Oprasto, Raditya Rimbawan Permata, Permata Prasetyo, Aditya Dwi Pratiwi, Eka Shintya Priandika, Adhie Thyo Purnomo Aji Putra, Ade Dwi Renaldy Hermanto Renaldy Hermanto Riska Aryanti Riskiono, Sampurna Dadi Sampurna Dadi Riskiono Sanriomi Sintaro Saputra, Febrian Eko Setiawan, Gde Denny Setiawansyah Setiawansyah Shinta Bela Siti Romlah Sumanto, Sumanto Surahman, Ade Vera Nadita Very Hendra Saputra vista anestiviya Wahyudi Wahyudi Wahyudi, Agung Deni Wang, Junhai yasin, ikbal YOHANA TRI UTAMI, YOHANA TRI Yopita Anggela Yuri Rahmanto Yusra Fernando Yusra Fernando