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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Ilmiah Media Sisfo IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Mantik JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika Jurnal Scientia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Information Technology (BIT) Prosiding Snastikom Jurnal ABDIMAS Budi Darma Bulletin of Data Science Jurnal Nasional Teknologi Komputer Journal of Informatics, Electrical and Electronics Engineering Journal Global Technology Computer Jurnal Sains dan Teknologi Informasi Bulletin of Artificial Intelligence ORAHUA : Jurnal Pengabdian Kepada Masyarakat Journal of Decision Support System Research Jurnal Mitra Pengabdian Farmasi Jurnal Komtika (Komputasi dan Informatika)
Dito Putro Utomo
Politeknik Negeri Medan, Medan
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Pelatihan Editing Video Guna Peningkatan Kreativitas Karang Taruna Pada Desa Mangga Dua Dito Putro Utomo; Bister Purba; Fince Tinus Waruwu
Jurnal Mitra Pengabdian Farmasi Vol. 1 No. 2 (2022): Februari 2022
Publisher : Akademi Farmasi YPPM Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current era of technological progress, many institutions have used and taken advantage of these technological advances. Not only large-scale institutions or organizations, small-scale institutions or organizations have also taken advantage of the role of this technology. Likewise with Mangga Dua Village which has taken advantage of these technological advances. Mangga Dua Village collaborates with Karang Taruna to assist in the process of disseminating information conveyed to communities outside Mangga Dua Village by utilizing the role of technology. In Mangga Dua Village, the role of Karang Taruna is to help advance and develop Mangga Dua Village. One of the main roles of Karang Taruna is to assist in the use of technology for the process of product marketing activities produced by the community in Mangga Dua Village. The promotion process for Mangga Dua Village products and also the Mangga Dua Village profile will later be carried out in the form of videos to make it easier to see the message conveyed. The lack of knowledge or expertise of Karang Taruna members is because there is still no training or assistance in the process of creating video content. The video editing process has now been helped a lot with free applications that can be accessed and used by anyone. Video editing training conducted by the Budi Darma University dedication team to members of the Mangga Dua Village Youth Organization is useful for assistance in video editing and also aims to increase creativity for Karang Taruna members.
Optimasi Struktur Website dan Kualitas Konten Berbasis SEO untuk Peningkatan Visibilitas Digital Unit Bisnis Pendidikan Vokasi Sulistianingsih, Indri; Dito Putro Utomo; Virdyra Tasril; Rama Prameswara Ritonga
Jurnal Nasional Teknologi Komputer Vol 5 No 4 (2025): Oktober 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v5i4.309

Abstract

Penelitian ini bertujuan untuk meningkatkan visibilitas digital unit bisnis pendidikan vokasi melalui optimasi struktur dan kualitas konten website berbasis Search Engine Optimization (SEO). Pendekatan yang digunakan adalah metode campuran (mixed-method), yang menggabungkan analisis kuantitatif terhadap metrik SEO dan evaluasi kualitatif terhadap keterlibatan pengguna. Penelitian dilakukan melalui enam tahap iteratif yang meliputi audit SEO, perancangan strategi, implementasi, monitoring, analisis data, serta interpretasi hasil. Proses optimasi mencakup peningkatan Core Web Vitals, responsivitas mobile, penguatan internal linking, peningkatan kualitas konten, serta penerapan prinsip E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Hasil penelitian menunjukkan peningkatan trafik organik sebesar 638% dalam enam bulan, rata-rata peningkatan peringkat kata kunci sebesar 39,6 posisi, serta peningkatan conversion rate sebesar 209%. Performa teknis situs juga meningkat signifikan dengan penurunan LCP sebesar 57%, FID sebesar 70%, dan CLS sebesar 71%, sehingga seluruh metrik mencapai kategori “Good”. Nilai Return on Investment (ROI) mencapai 2.060% (21,6 kali lipat), menunjukkan bahwa strategi SEO memberikan dampak tinggi dan berkelanjutan dibandingkan iklan berbayar. Penelitian ini menegaskan bahwa integrasi antara optimasi teknis, konten berkualitas, dan pengalaman pengguna merupakan faktor kunci dalam meningkatkan daya saing digital jangka panjang bagi institusi pendidikan vokasi.
Sistem Pendukung Keputusan Pemilihan Supplier Terbaik Pada PT. Madjin Crumb Rubber Factory Menggunakan Metode Waspas Amir, Faisal; Utomo, Dito Putro
Jurnal Sains dan Teknologi Informasi Vol 2 No 2 (2023): Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i2.3293

Abstract

Madjin Crumb Rubber Factory is a company in the field of rubber processing with a number of clients and a high level of rubber processing production, the existence of suppliers is very important, therefore the selection of suppliers is very influential on the results and quality of the rubber processed. PT. Madjin Crumb Rubber Factory does not produce it themselves but has to look for other suppliers or suppliers who have stock of goods in accordance with the company's request. The first step in selecting the best supplier is choosing a supplier by doing a selection first. PT. Madjin Crumb Rubber Factory has a manual system and is assessed subjectively. The purpose of the subjective here is more to the situation where the company chooses suppliers based on proximity alone or in other words the selection of suppliers at this time is still random or there is no reference, so that the results obtained by clients and management are sometimes unsatisfactory, therefore a support system is designed. decisions to make the selection more effective and accurate. The decision support system is made by applying the WASPAS method. The system created will provide recommendations for selecting the best supplier at PT. Madjin Crumb Rubber Factory, involving five criteria, namely price, production, quality, service and delivery time, then there are eight alternatives given by PT. Madjin Crumb Rubber Factory. By using Microsoft Visual Studio 2008 for the design of a decision support system and Microsoft Access 2010 as a database. This research can provide convenience to the PT. Madjin Crumb Rubber Factory in making decisions on choosing the best supplier and providing objective and accurate results in making the best supplier selection decision.
Penerapan Sistem Pendukung Keputusan Pada Pengambilan Keputusan Penilaian Kinerja Karyawan dengan Menerapkan Metode MOOSRA Utomo, Dito Putro
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4954

Abstract

The quality of the company will increase as employee performance increases. There are many ways that companies or organizations can improve employee performance. One way is to provide awards or rewards for employees who excel and for employees who are not able to provide their best performance, they will be given as a consequence. Rewards will be given by assessing employee performance. So far, Kofipindo has only relied on leaders' decisions to assess employee performance. This makes employees less motivated to show their best performance. Decision support systems are alternative solutions or alternative means and steps to resolve problems so that problems can be resolved effectively and efficiently. The Moosra method is used to calculate the weight of the criteria and determine the level of rejection as the main criterion. Where the decision support system is used as a model or reference in the decision-making process, especially in the employee performance assessment process. The Moosra method examines the suitability of separating a set of alternative value data with certain criteria described in the decision matrix. The aim of the research is to assist in the employee performance assessment process, making it easier for companies to provide rewards for the performance results of selected employees. The results obtained in the research process were Alternative (A10) with the name Roland Zebua as the employee with the best performance assessment.
Animal Caregiver Selection by Applying ARAS Method Decision Support System and Entropy Weighting Utomo, Dito Putro; Syahrizal, Muhammad; Hondro, Rivalri Kristianto; Saputra, Imam
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7048

Abstract

Animal care is a profession that is responsible for taking good care of animals or checking the condition of animals for the purpose of animal health. To get a qualified animal care worker according to the company's needs, it takes quite a long time, because animal care workers who apply for a job at a company must first go through several tests in order to meet the criteria required by the company. So that animal care workers are needed and required to care for animals, maintain their health and pay attention to the nutrition of the animals. So that there is no extinction of protected animals. The current animal care worker acceptance procedure in the wildlife park is that applicants submit identity files, if they pass the applicant's files, they take an interview test and the last test, the applicant must practice in the field directly to find out how well the applicant is able to adapt to animals. In calculating the value, problems often occur in this acceptance process. A decision support system (DSS) is an interactive information system that provides information, modeling, and data manipulation. In this case, the author uses the Entropy method and the ARAS (Additive Ratio Assessment) method to solve it. The Entropy method can be used to calculate weights based on data characteristics in the criteria, the higher the variation between data in the criteria, the higher or more important the weight of the criteria. While the ARAS (Additive Ratio Assessment) method is used for ranking. The use of the Entropy method as a weighting aims to ensure that the weighting process is carried out based on objective value assignment. In the application of the Entropy Method, a weighting of the criteria value is produced where the criteria with the highest to lowest values ​​are Certificate, Work Experience, Age, Interview and Education with the highest value being 0.768 and the lowest being 0.021. Then the process of applying the selection of animal nurses using the ARAS method obtained the result that alternative A1 was selected as an animal nurse with a value obtained of 0.0816.
Penerapan Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penentuan Bantuan Siswa Miskin (BSM) pada SMK Mesran, Mesran; Nastiti, Sindy; Sussolaikah, Kelik; Saputra, Imam; Utomo, Dito Putro
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.66

Abstract

The BSM Program is a National Program that aims to eliminate barriers for poor students to participate by helping poor students obtain decent educational service requests, preventing dropouts, attracting poor students to return to school, helping students meet their needs in learning activities, supporting the 9-year compulsory education program (even up to high school level), and helping the smooth running of school programs. To obtain the Poor Student Assistance (BSM) funds, the government has set several criteria for who are the students who can be determined and are entitled to receive the Poor Student Assistance (BSM). These criteria will later help schools or educational institutions determine which students can be determined to receive the Poor Student Assistance Fund. Therefore, an educational institution must have a Decision Support System for recommending Poor Student Funds (BSM) using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Poor Student Assistance (BSM) it is hoped that the determination process will run well, be on target, and be received by those who are entitled. The final result determines that Alternative A1 is ranked first with the highest score of 22.2679. Thus, decision makers can compare the performance between the old system and the BSM fund determination decision support system using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on students who will be given Poor Student Assistance funds.
Pengenalan Jiwa Entrepreneur Pada Remaja Desa dengan Memanfaatkan Media Sosial dan E-Commerce Mesran, Mesran; Imam Saputra; Guidio Leonarde Ginting; Suginam, Suginam; Dito Putro Utomo
JPM: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v5i3.1854

Abstract

This research aims to examine and encourage the introduction of the entrepreneurial spirit in village teenagers by utilizing social media and e-commerce. In the current digital era, social media and e-commerce have become very effective tools to support business activities, including for teenagers living in rural areas. Through the use of social media, village teenagers can promote their local products to a wider market without being limited by geography. Meanwhile, e-commerce platforms provide easy access to sell and distribute their products efficiently. This research uses a qualitative method with a case study approach. Data was collected through in-depth interviews, participant observation, and document analysis. The research subjects were village teenagers who had utilized social media and e-commerce in their entrepreneurial activities. The research results show that the use of social media and e-commerce can increase the knowledge and business skills of village teenagers. In addition, they become more motivated to become entrepreneurs because they see larger market opportunities and the financial benefits that can be obtained. Apart from that, this research also found several challenges faced by village teenagers in utilizing social media and e-commerce, such as limited internet access and lack of technical knowledge. However, with the right training and guidance, these challenges can be overcome. Overall, this research concludes that introducing an entrepreneurial spirit through social media and e-commerce is an effective strategy for empowering village youth. This not only improves the local economy but also opens up new opportunities for the young generation in rural areas to develop and compete in the global market.
Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Kependidikan (TENDIK) Dengan Menggunakan Metode SMARTER Utomo, Dito Putro; Purba, Bister
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.5619

Abstract

The success of a university is not only seen from the role of Educators (Lecturers) but also the role of Education Personnel (TENDIK). Educational Personnel (TENDIK) includes Administrative Personnel in universities. Work performance is the main factor of the success of higher education performance. The results of good work given will have a good impact on universities. TENDIK who excels are also competent in higher education and contributes to the joint progress of both TENDIK and universities. Apart from lecturers, TENDIK is also an asset owned by universities. Rewards or awards given to TENDIK can be done by assessing the performance results of each TENDIK. The reward given to TENDIK is a form of appreciation for the performance carried out at the university. Giving rewards to TENDIK must be based on a proper and accurate performance assessment. The problem is that there is no definite reference used to evaluate the performance of TENDIK in giving rewards. The performance assessment carried out must be objective, of course, with an objective assessment the results obtained from the TENDIK performance assessment will not be a problem for other TENDIK. Decision Support System is a computer-based information system that is used to assist in decision making by utilizing certain data and models to support a solution in solving a semi-structured and non-structured problem. SMARTER is one of the methods in the Decision Support System that provides recommendations to decision makers based on relevant criteria, which in determining the criteria and sub-criteria and their weight values ​​use ROC (Rank Order Centroid). Of the several criteria used for the selection process using the alternative SMARTER method with the name A4 with a final utility value of 64.25%
SMOTE and BERT Approaches for Handling Class Imbalance in Sentiment Analysis of the CoreTax Application on Big Data Ginting, Meiliyani Br; Surbakti, Asprina Br; Ilham, Safarul; Utomo, Dito Putro; Ginting, Raheliya Br
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8310

Abstract

Coretax is a tax information system developed by the Directorate General of Taxes (DJP) to support digital and integrated tax administration processes, covering everything from taxpayer registration to reporting and auditing. Although it was designed to improve efficiency, transparency, and accuracy in tax management, its implementation has sparked mixed reactions among the public due to various technical challenges and the complexity of the annual tax reporting process. This situation highlights the need for a sentiment analysis that can objectively capture public perceptions of the system’s performance. In this study, Natural Language Processing (NLP) and Machine Learning techniques were applied to analyze 3,000 tweets from Twitter (X) related to Coretax. One of the main issues identified in the dataset is class imbalance, where positive sentiments significantly outnumber negative and neutral ones, leading to biased classification results. To address this issue, the Synthetic Minority Over-sampling Technique (SMOTE) was used to balance the dataset by generating synthetic samples for the minority classes. The BERT model was then employed for sentiment classification because of its strong ability to understand contextual meaning through its transformer-based architecture. Experimental results show that before applying SMOTE, the BERT model achieved an accuracy of 77%, which increased to 80% after SMOTE was implemented, along with improvements in precision, recall, and F1-score, particularly for the minority classes. These findings demonstrate that the combination of SMOTE and BERT significantly enhances the performance of sentiment analysis in understanding public responses to Coretax. This approach can serve as a valuable reference for evaluating and improving tax digitalization policies, ensuring they are more effective, inclusive, and responsive to public needs.
Penerapan Metode Multi-Objective Optimization On The Basis Of Ratio Analysis Dalam Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Klinik Kecantikan Dewi Yohana br Ginting; Surizar Rahmi Danur; Dito Putro Utomo; Eka Feby Ronauli Lubis; Sri Novida Sari; Dini Rizqi Dwikunti Siregar
Bulletin of Information Technology (BIT) Vol 5 No 3: September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i3.1408

Abstract

The research conducted is to conduct an employee performance assessment process at a Beauty Clinic. The employee performance assessment process at a Beauty Clinic is carried out to provide awards to qualified employees at the Beauty Clinic. This study applies a Decision Support System (DSS) which is used as a system that can process employee performance assessments at the Beauty Clinic. In the employee performance assessment process at the Beauty Clinic, there are 6 criteria, namely Service Orientation, Integrity, Responsibility, Initiative, Discipline and Attendance. Thus, a system is needed that can make decisions, namely DSS by implementing the MOORA method to obtain preference values ​​from employee performance assessments at the Beauty Clinic, there is the best alternative in alternative A5 with a preference value of 0.37472
Co-Authors A M Hatuaon Sihite Abdul Karim Ade Ambarwati Br Ginting Aminuddin Aziz Annisa Apriliani Annisa Fadillah Siregar Annisah Annisah Asprina Br Surbakti, Asprina Br Atira Nabila Azlan, Azlan Bernadus Gunawan Sudarsono Bister Purba Boby Septia Pranata Butar Butar, Roi Martin Cici Alfiani Pradika Dita Dewi Maulida Sari Tanjung Dewi Yohana br Ginting Dini Rizqi Dwikunti Siregar Dwi Asdini Efori Buulolo Eka Feby Ronauli Lubis Eka Pratiwi Sumantri Faisal Amir Fince Tinus Waruwu Firman Telaumbanua Ginting, Winda Widia Br Guidio Leonarde Ginting Guidio Leonarde Ginting Hasibuan, Nelly Astuty Hendrikus Daely Ida Rizky Nasution Ihsan Ihsan Ilham Mubarik Ilham, Safarul Imam Saputra Imam Saputra Indini, Dwina Pri Irfan Nainggolan Iskandar Zulkarnain Johanes Mario Purba Keke Annisa Siregar Kurnia Ulfa M Mesran Manik, Lastri Meiliyani Br Ginting, Meiliyani Br Mesran, Mesran Miftahul Khairat Miko Putra Haposan Tinambunan Muhammad Syahrizal Murdani Murdani, Murdani Nainggolan, Dian Wichita Nainggolan, Laksono Nasib Marbun Nasib Sihombing Nastiti, Sindy Nelly Astuti Hasibuan Nona Oktari Noveriang Ndruru Nurjannah Oktari, Nona Pitriani Piliang Purba, Andrean Saputra Purba, Bister Purba, Roulina Agape Radius Kharisman Ndruru Raheliya Br Ginting, Raheliya Br Rama Prameswara Ritonga Refika Ratna Dilla Rian Syahputra Rivalri Kristianto Hondro Roni Yunis Russy Amelia Samueal Damanik Santri W Pasaribu Saragi, Naomi Labora Saragih, Soumi Rohmah Sarumaha, Lukas Sarwandi Wandi Sawitri Sawitri Selly Armasari Sihotang, Dahner Ismanda Bertenius Simatupang, Meylita Putri Sirait, Pahala Siregar, Tesa Aurelia Siswahyudianto Sitepu, Harun Rivaldo Soeb Aripin Sri Novida Sari Suginam Suharti Suharti Sulistianingsih, Indri Surizar Rahmi Danur Surya Darma Nasution Susi Mardiana Giawa Sussolaikah, Kelik Tesa Aurelia Siregar Ulva Rizky Amanda Virdyra Tasril Zahri Hubby Ramadhani