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All Journal Creative Information Technology Journal Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL ILMIAH SIMANTEK jurnal syntax admiration Jurnal Pengabdian Masyarakat (ABDIRA) Bulletin of Information Technology (BIT) Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Informatika dan Perancangan Sistem (JIPS) Journal Global Technology Computer Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Jurnal Sains dan Teknologi Informasi Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Journal Of Computer Engineering And Information Technology JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi
Raheliya Br Ginting, Raheliya Br
Institut Teknologi Dan Bisnis Indonesia
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Decision Support System for Selecting the Best Supplier of Dental Medicine Using the Analytical Hierarchy Process Method Melin Destari; David JM. Sembiring; Raheliya Br. Ginting; Meiliyani Br. Ginting
JCEIT: Journal of Computer Engineering and Information Technology Vol. 1 No. 3: JCEIT: Journal of Computer Engineering and Information Technology (July 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v1i3.19

Abstract

The problem that often occurs at Drg. Nina Syafitri's practice is that the supplier selection process is still subjective, where in selecting the Drgug supplier you have to choose it manually and sometimes there are several obstacles that are often faced, namely when one supplier already matches the price desired by the owner of Drg. Nina's practice. Syafitri’s, with appropriate payment terms, but problems with speed in the delivery of goods or ordered goods damaged in transit. As well as slow claims of damaged goods not being handled properly, the number of goods not matching the order, and the expiry date being close. Therefore, there are so many suppliers offering dental medicines, so Drg. Nina Syafitri's practice must be more selective and careful in choosing the right supplier. The method used in making decisions on selecting the best dental medicine supplier is the Analytical Hierarchy Process (AHP). REFERENCES Anwar, S. K., Priyanto, A., & Ramdani, C. (2021). Sistem Pendukung Keputusan Pemilihan Objek Wisata Menggunakan Metode AHP. 5. Blaster, I., Lubis, R. S., & Syahputri, N. I. (2023). PENERAPAN METODE SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE EXPLOITING RANK (SMARTER) DALAM PEMILIHAN BIBIT UNGGUL JAGUNG DI DESA SILAU MANGI. 2. HenDrgi, R., Hartanto, M. B., & Agustin, A. (2023). Rancang Bangun Sistem Pendukung Keputusan Validasi Data Pegawai Polda Dengan Metode AHP Berbasis WEB. Jurnal Teknologi Dan Informatika (JEDA), 4(1), 1–9. https://doi.org/10.57084/jeda.v4i1.1189 Ilham, I., Suwijana, I. G., & Nurdin, N. (2021). SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA PADA SMK 2 SOJOL MENGGUNAKAN METODE AHP. 4. Ilham, Suwijana, I. G., & Nurdin. (2018). Sistem Pendukung Keputusan Penerimaan Beasiswa Pada Smk 2 Sojol Menggunakan Metode Ahp. Jurnal Elektronik Sistim Informasi Dan Komputer (Jesik), 4(2), 48–58. Khusna, I. M., & Mariana, N. (2021). Jurnal SISFOKOM (Sistem Informasi dan Komputer), Volume 10, Nomor 02, PP 162 -169 Sistem. Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Dengan Metode AHP Dan Topsis, 10(2), 162–169. Muljadi, A., Khumaidi, A., & Chusna, N. L. (2020). Implementasi Metode TOPSIS untuk Menentukan Karyawan Terbaik Berbasis Web Pada PT. Mun Hean Indonesia. Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), 101. https://doi.org/10.24843/JIM.2020.v08.i02.p04 Nurrahman, N., & Sarjono, S. (2022). Sistem Pendukung Keputusan Penilaian Kinerja Guru Dengan Metode Saw Pada Man 2 Tebo. Jurnal Manajemen Sistem Informasi, 7(4), 612–630. https://doi.org/10.33998/jurnalmsi.2022.7.4.687 Pambudi, W. I., Izzatillah, M., & Solikhin, S. (2021). Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode AHP PT NGK Busi Indonesia. Jurnal Riset Dan Aplikasi Mahasiswa Informatika (JRAMI), 2(01), 113–120. https://doi.org/10.30998/jrami.v2i01.925 Panjaitan, M. I., Rajagukguk, D. M., & Manalu, M. R. (2023). Implementation of the Decision Support System for the Appointment of Permanent Employees at CV. Armas Suan Sejahatera Using the Analytical Hierarchy Process (AHP) Method. 13(02). Pebrianti, L., Sirait, G. P. P., & Purba, Y. T. P. (2022). Implementasi Metode AHP Pada Sistem Pendukung Keputusan Wisata Taman Kota Medanw. Jurnal Amplifier : Jurnal Ilmiah Bidang Teknik Elektro Dan Komputer, 12(1), 34–40. https://doi.org/10.33369/jamplifier.v12i1.21679 Sari, I. Y., Sihombing, M. H. H., Rahmi, E., & Daeli, C. S. (2023). PENENTUAN OBAT PENYAKIT GIGI PADA SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE TOPSIS. Shobun Kollied Anwar, Priyanto, A., & Ramdani, C. (2021). Sistem Pendukung Keputusan Pemilihan Objek Wisata Menggunakan Metode AHP. Jurnal Sains Komputer & Informatika (J-SAKTI), 5(1). https://doi.org/10.51903/elkom.v13i2.215 Siregar, J. and A. A. and A. W. A. (2022). Sistem Pendukung Keputusan Pemilihan Guru Terbaik Dengan Metode Ahp Dan Topsis. Journal of Innovation Research and Knowledge, 1(10), 1273–1284. Sitompul, K., Jannah, M., Nababan, A. A., Hamunangan, J., & Korespondensi, E. P. (2023). Sistem Pendukung Keputusan dalam Penentuan Siswa Teladan Menggunakan Metode AHP Pada SMA Harapan Bangsa Tanjung Morawa. Jurnal Ilmu Komputer Dan Sistem Informasi (JIKOMSI), 6(2), 77–86. Tejasukmana Putra, R., Adi Wibowo, S., & Agus Pranoto, Y. (2021). Sistem Pendukung Keputusan Penerimaan Blt Di Kecamatan Sampang Menggunakan Metode Saw Dan Metode Ahp Berbasis Web. JATI (Jurnal Mahasiswa Teknik Informatika), 5(1), 321–327. https://doi.org/10.36040/jati.v5i1.3236 Yanto, M. (2021a). Sistem Penunjang Keputusan Dengan Menggunakan Metode Ahp Dalam Seleksi Produk. Jurnal Teknologi Dan Sistem Informasi Bisnis, 3(1), 167–174. https://doi.org/10.47233/jteksis.v3i1.161 Yanto, M. (2021b). SISTEM PENUNJANG KEPUTUSAN DENGAN MENGGUNAKAN METODE AHP DALAM SELEKSI PRODUK. Jurnal Teknologi Dan Sistem Informasi Bisnis, 3(1), 167–174. https://doi.org/10.47233/jteksis.v3i1.161
Implementasi Metode ARAS dan Metode Pembobotan ROC untuk Pendukung Keputusan pada Seleksi Penerimaan Karyawan Baru Arini, Wulan; Sitepu, Yanti Peronika Br; Dewani, Dewani; Fitriani, Nopita; Sembiring, David JM; Ginting, Raheliya Br
Journal Global Technology Computer Vol 4 No 3 (2025): Agustus 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i3.8225

Abstract

Employees are one of the most important assets in a company. Their crucial role extends beyond carrying out daily tasks, but also through contributing ideas, innovations, and solutions that can help the company grow. Problems in the recruitment process for new employees often arise due to the large number of applicants with diverse backgrounds, abilities, and experiences. If this problem is not resolved, companies could potentially recruit employees who do not meet the required qualifications. One solution is to implement a Decision Support System (DSS). A DSS is a computer-based system designed to assist decision-makers in solving semi-structured or unstructured problems. In its implementation, a DSS can be integrated with the Additive Ratio Assessment (ARAS) method. To ensure accuracy in the ARAS calculation process, appropriate criteria weighting is required. One such weighting method is Rank Order Centroid (ROC). The purpose of this study is to implement a combination of the ROC and ARAS weighting methods to build a decision support system that can assist companies in selecting new employees who meet predetermined criteria. The combination of the ROC and ARAS methods can be an appropriate solution to overcome the problem of subjectivity, accelerate the selection process, and improve the accuracy of decision-making in hiring new employees. The process obtained a score of 1.000 on A6, indicating that the new employee was selected in the new employee selection process.
Analisis Fungsi Implikasi Max-Min dalam Pengambilan Keputusan Penentuan Penduduk Kurang Mampu Menggunakan Metode Fuzzy Tsukamoto Ginting, Clusilla Via Mia Dalmatia Br; Agnesia, Mella; Rahayu, Cici; Ginting, Raheliya Br; Surbakti, Asprina Br
Jurnal Sains dan Teknologi Informasi Vol 4 No 4 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i4.8390

Abstract

Determining the underprivileged population is a crucial aspect in the distribution of social assistance to ensure it is targeted. Fuzzy logic methods, specifically the Tsukamoto Fuzzy Inference System (FIS), are capable of addressing uncertainty and subjectivity in the decision-making process. This study aims to analyze the application of the Max-Min implication function in the Tsukamoto fuzzy system to determine the category of underprivileged population based on income, number of dependents, and housing conditions. The results show that the use of the Max-Min implication function produces consistent, transparent, and reliable decisions to support government policy in distributing social assistance. Based on the test results, where Income = 1.5 million, Number of dependents = 5, and housing condition score = 4, the ability level of Mrs. Clu is included in the underprivileged category.
Sosialisasi Keamanan Data Menggunakan Teknologi Informasi pada Kantor Camat Batang Serangan Tarigan, Ita Margaretta Br; Ginting, Raheliya Br; Sinuhaji, Nirwan; Kaban, Roberto; Ginting, Puspita Sari Br; Wahyu, Muhammad; Siregar, Desi Nuri Anggita
Jurnal IPMAS Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54065/ipmas.4.2.2024.475

Abstract

Kegiatan pengabdian kepada masyarakat ini berupa sosialisasi tentang pentingnya menjaga keamanan data menggunakan Teknologi Informasi. Pengabdian ini bertujuan untuk membantu para masyarakat di Kantor Camat Batang Serangan agar memproleh informasi tentang kemajuan Teknologi Informasi dan bagaimana cara menjaga keamanan data agar tidak mudah dicuri dan dimanfaatkan oleh oknum-oknum yang tidak bertanggung jawab. Subjek pada kegiatan pengabdian ini adalah masyarakat beserta perangkat yang ada di Kantor Camat Batang Serangan. Metode dalam pengabdian masyarakat ini berupa sosialisasi yang dilakukan dengan pemberian informasi manfaat dan peran Teknologi Informasi dalam menjaga keamanan data dan cara pencegahan dalam menghadapi pencurian data seiring perkembangan Teknologi Informasi dimasa sekarang ini. Hasil dari kegiatan kepada masyarakat terlihat bahwa masih banyak masyarakat saat ini yang belum peka terhadap bahaya dari penyalahgunaan data dan infromasi, sehingga dengan adanya sosialisasi ini diharapkan dapat membantu masyarakat mendapatkan bekal pemanfaatan Teknologi Informasi yang dapat digunakan sebagai langkah preventif awal dalam mengamankan data dan informasi mereka tentunya dapat mengurangi kecemasan dalam melakukan akses internet khususnya dalam upaya mencari dan melakukan eksplor terhadap pengetahuan yang lebih luas. Berdasarkan dengan survey yang telah dilakukan sebelum dan sesudah proses pengadian didapatkan peningkatan pemahaman terhadap keamanan data tersebut dimana sebelum dilakukan pengabdian pemahaman masyarakat sebesar 75% dan setelah dilakukan sosialisasi pengetahuan meningkatn sebesar 83%. Terjadi peningkatan sebesar 8% yang menandakan bahwasannya sosialisasi berhasil dilakukan.
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.
Sistem Pendukung Keputusan Penentuan Alokasi Dana Desa dengan Metode Analytical Hierarchy Process (AHP) Dinda Fadila; David JM. Sembiring; Raheliya Br. Ginting; Meiliyani Br. Ginting; Safarul Ilham
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 1 (2025): April 2025
Publisher : Institut Teknologi dan Bisnis Indonesia

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

Abstract

Village Fund Allocation in Jati Sari Village is a multi-criteria problem which includes quantitative and qualitative factors. Several criteria that influence the selection of Jati Sari Village in the Village Fund Allocation are quantitative and qualitative. This study aims to develop a Decision Support System (DSS) that utilizes the Analytical Hierarchy Process (AHP) method to determine optimal village fund allocation. The focus of the research will be on Jati Sari Village in Padang Tualang District, Langkat Regency. The research method will use a case study approach to explore the specific context of Jati Sari Village. Through a combination of qualitative analysis, based on the description, discussion and analysis carried out in the previous chapters, it can be concluded that in practice, village fund allocation in Jati Sari Village still uses manual methods which are prone to uncertainty and lack of accuracy.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WASPAS Raheliya Br Ginting; Dewi Yohana Br Ginting; Dito Putro Utomo
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1399

Abstract

Human resources or employees in a company organization are very important to support the progress and quality of the company in achieving its goals. Having employees with good performance in a company does not just come from the employees themselves but there must also be a role from the company. Providing rewards to employees is one factor that can be used as a basis for providing motivation to employees. Performance appraisal is a process of measuring the results of work provided by employees, where this assessment will later provide results on who the best employees have the best performance to get rewards from the company. The problem that often occurs is that selecting the best employees or evaluating employee performance is based on subjective factors, which of course is detrimental to other employees and also has an impact on the company. Decision Support System (DSS) is a process that is part of the information system. Where the decision support system will assist in the process of completing semi-structured data processing. The Weight Aggregate Sum Product Assessment (WASPAS) method is a method that can be used in making decisions that have many attributes or criteria or is also known as MCDM (Multi Criteria Decision Making). The method used in this research is the WASPAS method which can provide the best alternative results, namely alternative A6 with the name "Tian" with a Qi value = 0.9815 which was selected as the best employee
Co-Authors Agnesia, Mella Arini, Wulan ASPRINA BR SURBAKTI Asprina Br Surbakti Asprina Br Surbakti, Asprina Br Br Ginting, Lastri Marsely Calvin Pratama David JM. Sembiring David JM. Sembiring David Jumpa Malem Sembiring Dewani, Dewani Dewi Yohana Br Ginting Dewi Yohana Br Ginting Dinda Fadila Dito Putro Utomo Erta Susanti Fitriani, Nopita Ginting, Clusilla Via Mia Dalmatia Br Ginting, Puspita Sari Br Ilham, Safarul Ita Margaretta Tarigan Kaban, Debi Yolanda Kaban, Roberto MEILIYANI BR GINTING Meiliyani Br Ginting Meiliyani Br Ginting Meiliyani Br Ginting, Meiliyani Br Meiliyani BR. Ginting Meiliyani Br. Ginting Meiliyani Br. Ginting Melia Pradita Melin Destari Muhammad Wahyu, Muhammad Nirwan Sinuhaji Novita Permata Dewi Rahayu, Cici Safarul Ilham Sembiring, David JM SHINTA PUTRI RAHAYU SINEK MEHULI BR PA Sinuhaji, Nirwan Siregar, Desi Nuri Anggita Sitepu, Yanti Peronika Br Siti Jamilah Br. Tarigan Surizar Rahmi Danur Tarigan, Siti Jamilah Br YUYUN DINASARI ARITONANG