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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Bulletin of Electrical Engineering and Informatics 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 Algoritma 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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Decision Support System for Determining the Best Internship Students Using the Combined Compromise Solution Method Pasaribu, A. Ferico Octaviansyah; Aldino, Ahmad Ari; Surahman, Ade; Setiawansyah, Setiawansyah
Building of Informatics, Technology and Science (BITS) Vol 5 No 3 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i3.4231

Abstract

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
Aplikasi Sistem Pendukung Keputusan Penerimaan Staff Video Editing Menggunakan Metode Profile Matching Berbasis Web Octaviansyah Pasaribu, A. Ferico; Saputra, Very Hendra
Jurnal Media Borneo Vol. 1 No. 2 (2023): Volume 1 Number 2 Desember 2023
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediaborneo.v1i2.32

Abstract

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.
PENERAPAN TEKNOLOGI GLOBAL POSITIONING SYSTEM (GPS) PADA APLIKASI PRESENSI BERBASIS ANDROID (STUDI KASUS: SMA NEGERI 2 OKU TANZANIA) Prasetyo, Aditya Dwi; Pasaribu, A.Ferico Octaviansyah; Nurkholis, Andi
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.v2i2.3705

Abstract

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 
Hybrid Logarithmic Percentage Change-Driven Objective Weighting and MOORA in Salesperson Performance Assessment Gufran Umar, M. Kasyif; Abdurahman, Muhdar; Wahyudi, Agung Deni; Octaviansyah Pasaribu, A. Ferico
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.v5i1.1890

Abstract

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.
Implementasi Smart Cow Farming Technology untuk Monitoring Pertumbuhan Sapi dan Peningkatan Skala Usaha pada Kelompok Peternak Sapi DiBa Farm Kabupaten Lampung Selatan Pasaribu, A Ferico Octaviansyah; Saputra, Febrian Eko; Wati, Novi Eka; 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.v5i2.4730

Abstract

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.
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.
Optimizing the best student selection: hybrid K-Means approach and entropy-grey relational analysis Sulistiani, Heni; Setiawansyah, Setiawansyah; Palupiningsih, Pritasari; Ferico Octaviansyah Pasaribu, Ahmad; Andika, Rio; Hamdan Sobirin, Muhammad
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8715

Abstract

The selection of the best students is an important process in recognizing students' achievements and dedication in various fields. Through careful and fair selection, students who stand out in both academic and non-academic terms can be identified and assigned. The purpose of the research on the use of hybrid entropy-grey relational analysis (GRA) and K-Means clustering in the selection of the best students is to develop a more objective, accurate, and comprehensive assessment system. The silhouette score results show that 2 clusters have a value of 0.5733, so in this study 2 clusters are used with the best cluster at cluster 0. Data from cluster 0 will be used in determining the best students using hybrid entropy-GRA. The results of the best student ranking using the hybrid entropy-GRA method, for the first best student with a final score of 0.25 were obtained by Mareta Amelia. The hybrid approach of K-Means and entropy-GRA offers a powerful tool to improve decision-making in the student selection process. The hybrid approach of K-Means grouping and entropy-GRA presents a powerful solution, improving the decision-making process and ensuring that high-achieving students are accurately recognized and rewarded.
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.
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 Andika, Rio Angga Bayu Santoso Angga Ardiansah, Temi Arif Febriansyah Arifin Nur Dedi Darwis Dedi Darwis Dedi Irawan Depriansah Depriansah Eka Shintya Pratiwi Fachrul Kurnia Adam Fadhila Shelly Amalia Farid Jack Hendri Farid Jeck Fikri Hamidy Fredy Hermawan Habib Rizki A.Siregar Hamdan Sobirin, Muhammad Heni Sulistiani Ikbal Yasin Imam Ahmad Irna Puspasari Junhai Wang Junhai Wang Kadek Dwi Riska Santi Ketut Risma Febi Kusuma Kiki Septiani Leny Meilisa M Kasyif Gufran Umar M. Ghufroni AnArs 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 Palupiningsih, Pritasari Pasha, Donaya Permata, Permata Prasetyo, Aditya Dwi Pratiwi, Eka Shintya Priandika, Adhie Thyo Purnomo Aji Putra, Ade Dwi Raditya Rimbawan Oprasto Renaldy Hermanto Renaldy Hermanto Riska Aryanti Riskiono, Sampurna Dadi Sampurna Dadi Riskiono Sanriomi Sintaro Saputra, Febrian Eko Setiawan, Gde Denny Setiawansyah Setiawansyah Shinta Bela Shofiyah Nur Jannah Siti Romlah Sumanto Sumanto Surahman, Ade Temi Ardiansah Vera Nadita Very Hendra Saputra 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