Articles
<![CDATA[Metode SWARA dan Multi Attribute Utility Theory Untuk Penentuan Pemasok Pakan Ikan Terbaik ]]>
<![CDATA[Agung Deni Wahyudi]]>;
<![CDATA[A. Ferico Octaviansyah Pasaribu]]>
<![CDATA[ Jurnal Media Jawadwipa Vol. 1 No. 1 (2023): Volume 1 Number 1 October 2023 ]]>
Publisher : <![CDATA[CV. Keranjang Teknologi Media ]]>
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DOI: 10.58602/mediajawadwipa.v1i1.20
<![CDATA[Problems in the selection of fish feed suppliers there is no model of a decision support system in assessing supplier performance based on purchase transactions made. This study aims to apply the SWARA method in weighting the criteria used in selecting the best fish feed suppliers and then using the MAUT method to determine the best fish feed suppliers. Multi Attribute Utility Theory (MAUT) is a sophisticated and systematic decision-making framework, designed to deal with complexity and uncertainty in the context of multi-criteria evaluation. Weighting in the Step-wise Weight Assessment Ratio Analysis (SWARA) method plays a key role in assigning relative values to the criteria used for multi-criteria decision making. The results of the fish feed supplier selection ranking show that the first rank with a total final utility value of 0.5795 was obtained by Supplier 3, the second rank with a total final utility value of 0.5275 was obtained by Supplier 8, and the third rank with a total final utility value of 0.3865 was obtained by Supplier 6.]]>
<![CDATA[Rekomendasi Penentuan Kelas Unggulan Menggunakan Metode Complex Proportional Assessment Dan Step-wise Weight Assessment Ratio Analysis ]]>
<![CDATA[A. Ferico Octaviansyah Pasaribu]]>;
<![CDATA[Donaya Pasha]]>
<![CDATA[ Swarnadwipa Vol. 1 No. 2 (2024): Volume 1 Number 2 March 2024 ]]>
Publisher : <![CDATA[CV. Keranjang Teknologi Media ]]>
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DOI: 10.58602/mediaswarnadwipa.v1i2.52
<![CDATA[Class of Excellence is an educational program designed to provide superior educational services and oriented towards academic achievement and overall development of student potential. Featured class determination recommendations is a process that considers a variety of factors to determine which students meet the criteria for admission into the program. The purpose of this study can provide a recommendation to the school in determining students who enter superior classes based on the criteria used by applying the Complex Proportional Assessment (COPRAS) method and the Step-wise Weight Assessment Ratio Analysis (SWARA) weighting method. The SWARA method is an analytical approach used in multi-criteria decision making to determine the relative weight of each criterion. The COPRAS method is an analytical approach used for multi-criteria decision making, especially in the context of complex evaluation of alternatives. The ranking results show a list of excellent class students as many as 21 students based on the highest scores from 1 to 21 students. This result becomes a recommendation to the school in determining excellent class students.]]>
<![CDATA[Decision Support System for Determining the Best Internship Students Using the Combined Compromise Solution Method ]]>
<![CDATA[Pasaribu, A. Ferico Octaviansyah]]>;
<![CDATA[Aldino, Ahmad Ari]]>;
<![CDATA[Surahman, Ade]]>;
<![CDATA[Setiawansyah, Setiawansyah]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 5 No 3 (2023): December 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v5i3.4231
<![CDATA[Interns are individuals who are undergoing a period of practical learning in an organization or company as part of their educational curriculum. During the internship, students have the opportunity to apply the knowledge they learn in class to real-world situations, as well as gain valuable work experience. The selection of the best intern can involve several problems or challenges. One of them is the difficulty in evaluating students' practical skills based solely on their academic performance. The Decision Support System (DSS) to determine the best internship students using the Combined Compromise Solution Method provides a holistic approach in the selection process. This method combines elements of the Compromise Solution Method that consider compromise solutions between alternatives. With this comprehensive approach, DSS can assist institutions or companies in selecting internship students that best suit their needs and expectations, as well as ensure the success of internships that are beneficial to both parties. The results of the ranking of the best internship student alternatives showed that rank 1st with a value of 5.7847 was obtained by Jonathan, rank 2nd with a value of 5.2625 was obtained by Handoko R, and rank 3rd with a value of 4.6117 was obtained by M. Ali Fikri. The results of this ranking help companies determine the best internship students by applying the combine compromise solution method]]>
<![CDATA[Aplikasi Sistem Pendukung Keputusan Penerimaan Staff Video Editing Menggunakan Metode Profile Matching Berbasis Web ]]>
<![CDATA[Octaviansyah Pasaribu, A. Ferico]]>;
<![CDATA[Saputra, Very Hendra]]>
<![CDATA[ Jurnal Media Borneo Vol. 1 No. 2 (2023): Volume 1 Number 2 Desember 2023 ]]>
Publisher : <![CDATA[CV. Keranjang Teknologi Media ]]>
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DOI: 10.58602/mediaborneo.v1i2.32
<![CDATA[Video editing staff will not only become experts in using the latest editing software, but will also play a role in crafting the narrative inherent in each production. Profile matching refers to the process of comparing the characteristics or attributes of one entity to another to find conformity or similarity. This study aims to apply the profile matching method in the acceptance of video editing staff on CV XYZ so that the ranking results of the profile matching method can be a company recommendation in determining the acceptance of video editing staff. Based on the selection of prospective video editing staff using the profile matching method, it is recommended for candidate A as a recommendation for prospective video editing staff because it gets a total score of 4.58.]]>
<![CDATA[PENERAPAN TEKNOLOGI GLOBAL POSITIONING SYSTEM (GPS) PADA APLIKASI PRESENSI BERBASIS ANDROID (STUDI KASUS: SMA NEGERI 2 OKU TANZANIA) ]]>
<![CDATA[Prasetyo, Aditya Dwi]]>;
<![CDATA[Pasaribu, A.Ferico Octaviansyah]]>;
<![CDATA[Nurkholis, Andi]]>
<![CDATA[ TELEFORTECH : Journal of Telematics and Information Technology Vol 2, No 2 (2021): TELEFORTECH VOL 2 No. 2 (JANUARI 2022) ]]>
Publisher : <![CDATA[Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/tft.v2i2.3705
<![CDATA[Sekolah Menengah Atas (SMA) Negeri 2 Oku Tanzania memiliki masalah yang berkaitan dengan Pencatatan absen siswa yang saat ini dilakukan secara manual di atas kertas dapat diperbaiki, sehingga dapat meningkat mutu pengolahan data presensi, mutu layanan dan sistem di Sekolah.Penelitian ini bertujuan membangun aplikasi Absensi berbasis Android yang dapat digunakan pada perangkat handphone guru dan siswa. Terdapat banyak cara untuk menyelesaikan permasalahan saat ini, salah satunya membuat sistem aplikasi absensi berbasis lokasi dengan memanfaatkan fitur GPS yang dapat digunakan pada Android. Bahasa pemograman yang digunakan dalam pembangunan sistem adalah Java dan PHP (PHP: Hypertext Preprocessor) menggunakan react native dengan tools Android Studio & Visual Studio sebagai editor penulisan code Java dan PHP, HTML. Dengan demikian, dengan adanya penelitian ini dapat membantu Sekolah dan Siswa dalam memudahkan Siswa dalam melakukan kegiatan absensi secara akurat. Dalam penelitian yang akan dilakukan menggunakan metode Rapid Application Development (RAD) dan untuk menguji kelayakan sistem menggunakan metode ISO 25010. Penelitian ini berhasil dengan mendapatkan penilaian sebesar 100% untuk pengujian functional suitabilitysehingga mendapatkan predikat presentase Sukses/Berhasil, dan predikat presentase Sangat Baik dengan angka presentase 94.67% untuk pengujian usability dari responden yang mengacu pada pengujian sistem ISO 25010 dengan menggunakan tabel penilaian Skala Likert. Kata Kunci: Absensi,GPS,RAD,MySQL,ISO 25010 ]]>
<![CDATA[Hybrid Logarithmic Percentage Change-Driven Objective Weighting and MOORA in Salesperson Performance Assessment ]]>
<![CDATA[Gufran Umar, M. Kasyif]]>;
<![CDATA[Abdurahman, Muhdar]]>;
<![CDATA[Wahyudi, Agung Deni]]>;
<![CDATA[Octaviansyah Pasaribu, A. Ferico]]>
<![CDATA[ KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/klik.v5i1.1890
<![CDATA[A salesperson is an individual who is responsible for selling a company's products or services to customers, either directly or through various marketing channels. The main problem in determining the best salesperson is often related to the complexity of assessing various aspects of performance comprehensively and fairly. While metrics such as sales volume are easy to measure, other important aspects such as the ability to build long-term relationships with customers, customer satisfaction, and contribution to team dynamics are more difficult to measure objectively. The purpose of this study was to combine LOPCOW and MOORA in the performance appraisal of salespeople. This study aims to address several challenges associated with the assessment of sales force performance, including heteroscedasticity in sales data and complexity in evaluating relevant multi-criteria criteria. By integrating LOPCOW to manage heteroscedasticity in sales data and MOORA to consider various aspects of sales force performance, resulting in a weighting method that can provide more accurate and comprehensive performance appraisals. The results of the salesperson performance ranking the 1st rank with the final value of MOORA 0.35861 with the name Salesperson HS, the 2nd rank with the final value of MOORA 0.34241 with the name Salesperson FT, and the 3rd rank with the final value of MOORA 0.3347 with the name Salesperson TS.]]>
<![CDATA[Implementasi Smart Cow Farming Technology untuk Monitoring Pertumbuhan Sapi dan Peningkatan Skala Usaha pada Kelompok Peternak Sapi DiBa Farm Kabupaten Lampung Selatan ]]>
<![CDATA[Pasaribu, A Ferico Octaviansyah]]>;
<![CDATA[Saputra, Febrian Eko]]>;
<![CDATA[Wati, Novi Eka]]>;
<![CDATA[Darwis, Dedi]]>
<![CDATA[ Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024 ]]>
Publisher : <![CDATA[Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/jsstcs.v5i2.4730
<![CDATA[The DiBa Farm Livestock Group faces several urgent issues that need to be addressed not all cows can achieve the minimum weight gain target of 1.5 kg per day. Monitoring of cow growth productivity is done manually; (3) the calculation of the cost of goods sold is also still done manually. The partner's marketing of livestock products is limited to regular customers within the South Lampung area only. Based on these prioritized issues, the proposed solutions and methods are implementing a wheelbarrow tool with a digital scale for transporting cow feed using IoT technology. Implementing a cow growth monitoring application using RFID. Implementing a website-based application to automatically determine the Cost of Goods Sold for cows. Implementing a digital marketing application for cow sales that can be accessed via a website. Providing training and assistance related to digital marketing strategies. Based on the evaluation results, it was found that the implementation of Smart Cow Farming Technology 100% improved the partners' knowledge of its usage. The average cow growth increased monthly, from 45 kg to 50 kg. Additionally, there was a 25% increase in profits due to the implementation of the cost of goods sold calculation application and the online cow sales application. The evaluation results from the digital marketing training activities also showed that 85% of the partners' knowledge and understanding improved in terms of using digital marketing.]]>
<![CDATA[Used Car Sale Application Design in Car Shoowroom Using Extreme Programming ]]>
<![CDATA[Pasaribu, A. Ferico Octaviansyah]]>;
<![CDATA[Wahyudi, Agung Deni]]>
<![CDATA[ CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 1 (2023): Volume 1 Number 1 January 2023 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/chain.v1i1.6
<![CDATA[Information technology is an activity of collecting, processing, managing, storing, disseminating and utilizing information. Apart from involving hardware and software, this technology also pays attention to human interests in its utilization. Car Showroom is a company engaged in buying and selling used cars. As a growing company and from its stagnant sales chart data for the last 5 years, Car Showroom took the initiative to make the internet a marketing medium. Judging from the reality, so far it has been difficult to provide information regarding the product. Making it easier to design a system that is created, as well as implementing a used car sales application in a car showroom made using the PHP programming language with the MySql database so that the information held by the showroom can be accessed by users online and in real time. With this application, it can help users find used cars online. Based on the results of the recapitulation of the 7 testing criteria that have been carried out, the results show that the number of answers from respondents has a value of 100% in accordance with testing system functionality using blackbox testing.]]>
<![CDATA[Decision Support System for Best Supplier Selection Using Simple Additive Weighting and Rank Sum Weighting ]]>
<![CDATA[Pasaribu, A. Ferico Octaviansyah]]>
<![CDATA[ CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 3 (2023): Volume 1 Number 3 July 2023 ]]>
Publisher : <![CDATA[PT. Tech Cart Press ]]>
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DOI: 10.58602/chain.v1i3.47
<![CDATA[Decision Support System or DSS is a computer system designed to help make complex and problem-oriented decisions. SAW method is one of the methods used in multi-criteria decision making to sort and select alternatives based on an assessment of several criteria. The SAW method uses a simple summation approach of weighted weights assigned to each criterion. Rank sum weighting is one method used in decision support systems to sort alternatives based on assessments on specific criteria. The results of this study are the selection of the best suppliers using the simple additive weighting method and applying the rank sum weighting model in determining the weight of the criteria used, namely price, product quality, delivery time, packaging form, and the number of shipments. Ranking results for rank 1 were obtained by Supplier B with a value of 0.846, for rank 2 were obtained by Supplier E with a value of 0.837, for rank 3 were obtained by Supplier C with a value of 0.787, for rank 4 were obtained by Supplier A with a value of 0.723, for rank 5 were obtained by Supplier B with a value of 0.698.]]>
<![CDATA[An Entropy-Assisted COBRA Framework to Support Complex Bounded Rationality in Employee Recruitment ]]>
<![CDATA[Oprasto, Raditya Rimbawan]]>;
<![CDATA[Wang, Junhai]]>;
<![CDATA[Pasaribu, A Ferico Octaviansyah]]>;
<![CDATA[Setiawansyah, Setiawansyah]]>;
<![CDATA[Aryanti, Riska]]>;
<![CDATA[Sumanto]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 5 No. 3 (2025): April 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v5i3.505
<![CDATA[In the employee recruitment process, decision-making often involves many criteria and relies on the subjective judgment of the decision-maker. The main problem lies in how to develop a decision support system that can overcome this complexity while maintaining rationality and objectivity. This study aims to apply a hybrid framework based on the entropy and COBRA methods to support objective decision-making in the employee recruitment process, and to overcome the limitations of subjectivity and bounded rationality in candidate selection with a structured data-driven approach. The entropy method is used to objectively determine the weight of criteria based on data variations, thereby helping to reduce subjectivity in decision-making and increase the rationality of COBRA analysis results. The results of the final calculation using the Entropy-COBRA method, were ranked nine candidates based on their final scores which reflected relative proximity to the ideal solution in the recruitment process. The candidate with the lowest score is considered to be the closest to the ideal solution and has the best overall performance. Raka employees ranked first with a final score of -0.0618, followed by Andra in second place with a score of -0.0597, and Fajar in third place with -0.0357. The results of the final score in the COBRA method with a lower score indicate that an alternative shows superior performance over the other. This framework makes a real contribution to data-driven decision-making for human resource management, particularly in the context of recruitment involving multiple criteria and alternatives.]]>
