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All Journal Jupiter Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science IJID (International Journal on Informatics for Development) JTIK (Jurnal Teknik Informatika Kaputama) Infotech: Jurnal Informatika & Teknologi Prosiding University Research Colloquium Ladang Artikel Ilmu Komputer Jurnal Ilmiah Informatika dan Ilmu Komputer Journal of Information Technology, Software Engineering and Computer Science Jurnal Informatika dan Rekayasa Perangkat Lunak
Yosep Nuryaman
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology

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Perancangan Aplikasi Peminjaman Alat Praktik dengan Verifikasi Foto Berbasis Web pada SMK Media Informatika Jakarta Dwiatmojo, Satrio; Nuryaman, Yosep
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 3 (2025): Oktober
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i3.6319

Abstract

This study aims to design a web-based application for lending practical tools with photo verification at SMK Media Informatika Jakarta. The design uses the Waterfall software development method and Laravel technology as the main framework. The application testing results were conducted using the Blackbox Testing method, which proved that the designed application has run according to its function at SMK Media Informatika Jakarta.
Sentiment Analysis Pandangan Masyarakat Terhadap Tarif Tol Trans-Jawa Menggunakan Support Vector Machine dan Particle Swarm Optimization Yudha, Afri; Nuryaman, Yosep; Andhikawati, Aulia; Ernawati, Ernawati; Suwela, Nandang
Prosiding University Research Colloquium Proceeding of The 10th University Research Colloquium 2019: Bidang Teknik dan Rekayasa
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

Jalan Tol Trans-Jawa adalah jalan tol yang menghubungkan kota-kota di pulau Jawa dimana mempunyai jarak ±1.000 kilometer, Jalan tol ini menghubungkan dua kota terbesar di Indonesia Jakarta danSurabaya, banyak opini masyarakat baik dunia nyata maupun dimedia sosial mengenai tol trans jawa terlebih tarifnya yang hampirmencapai 1 juta rupiah, pada penulisan jurnal ilmiah ini dilakukansentiment analysis terkait tarif tol trans jawa, data yang digunakandiambil dari jaringan media sosial twiter pada periode bulan junidan juli, didapatkan data mentah 543 data, setelah dilakukancleansing dan Preprocessing, data yang dapat diolah 108 datadengan rincian 54 negatif dan 54 positif. Berdasarkan pemodelanmenggunakan algoritma support vector machine(SVM) didapatbahwa pandangan masyarakat terhadap jalan tol trans-jawa terlihatlebih banyak yang positif sebesar 52% dengan akurasi 68,36%dengan kurva roc 0,776 dan di optamasi dengan Particle SwarmOptimization (PSO) sehingga mengalami kenaikan akurasi menjadi75% dan kurva roc 0,802, lalu dari hasil yang didapatkan dibuatlahkamus data dari bobot yang ada menggunakan Visual Basic .NET(VB.Net).
Penerapan Root Assessment Method dan Pembobotan ROC untuk Evaluasi Kinerja Tim Penjualan Yudhistira, Aditia; Wahyudi, Agung Deni; Nuryaman, Yosep
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 2 (2024): Volume 3 Number 2 September 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i2.30

Abstract

The performance of the sales team is one of the important indicators of a company's success, which is measured through the achievement of sales targets, negotiation skills, and efficiency in managing customer relationships. Problems in the appraisal of sales team performance often arise due to various factors that affect objectivity and fairness in evaluation. One of the main problems is the lack of consistent assessment standards, where each team member may be assessed with different assessment opinions, leading to bias in evaluation results. The application of the Root Assessment Method and ROC Weighting in the performance evaluation of the sales team is an innovative and effective approach to improve productivity and team performance. The combination of these two methods not only facilitates in-depth analysis of individual and team performance, but also supports strategic decision-making in the continuous development and improvement of sales team capabilities. The results of the sales team's performance evaluation assessment ranking, Team J ranked first with a final score of 4.3981, showing the most superior performance among the entire team. In second place, Team G obtained a score of 4.388, followed by Team D in third place with a score of 4.3752. These results provide a comprehensive picture of each team's performance rankings, with Team J showing top performance, while Team F needs further improvement.
OPTIMALISASI MANAJEMEN TRAFIK DAN KEAMANAN DATA PADA JARINGAN INTRANET IBI-K 1957 DENGAN METODE USER BEHAVIOUR ANALYSIS Hidayat, Syamsu; Astried Silvanie; ASISTYASARI, AYUNI; Nuryaman, Yosep
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 7 No. 2 (2023): Volume 7, Nomor 2, Juli 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v7i2.125

Abstract

The incident of a data breach at one of the national banks as a result of the merger of several Islamic banks in Indonesia for economic reasons has significantly increased concerns about the security of the data of all organizations, including educational organizations such as universities, where there are such as a personal data system and also educational data for the academic community, the open internet sharing systems enabled by universities are highly vulnerable to cyber attacks. For this reason, an optimization measure for the security of the campus network was implemented in this study and, in addition, the Internet connection was made more stable, as it is perceived as very slow at certain hours or during working hours. The use of Mikrotik as a network security tool designed to establish a network security fortress against intruders. In addition to the fact that Mikrotik devices are easy to obtain and inexpensive, and have good security features, the use of the method of analyzing user behavior consists in using a firewall to detect users who download activities with certain criteria are recorded and marked by the firewall , to then restrict access for the user. The. In addition to utilizing Mikrotik's firewall capabilities, the Queue feature is also used with the Simple Queue and Queue Tree methods. In the Simple Queue method, it designates one of the hosts whose bandwidth is limited, while in Queue Tree, it limits the network segments that provide users with maximum bandwidth limits and guarantees bandwidth. Both can be used side by side and work optimally.
Analisa Penjualan Barang Untuk Mengetahui Kebutuhan Barang Menggunakan Algoritma K-Mean Pada Toko X Faddillah, Umi; Sudarsono, Bibit; Nuryadi, Nanang; Rizal, Khairul; Nuryaman, Yosep
JATISI Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.6426

Abstract

Pengiriman barang mempunyai peranan penting dalam rantai bisnis retail, setiap pengiriman harus memperhitungkan jumlah barang yang terjual dan juga toko mana saja yang dapat dikirimkan bersamaan. PT X merupakan Perusahaan retail yang memiliki banyak cabang toko di wilayah Jakarta, sehingga memerlukan gambaran toko-toko mana saja dan barang apa saja yang dikirimkan secara bersamaan. Algorima K-mean adalah salah satu algorima untuk mengklusterisasi. Oleh sebab itu maka penulis melakukan perhitungan data penjualan menggunakan alogoritma k-mean untuk mengelompokan toko-toko. Dan dari hasil perhitungan yangs sudah dilakukan terdapat hasil kluster terbaik yaitu kedalam 5 cluster dimana untuk cluster 0 terdapat 13 toko, cluster 1 terdapat 17 toko, cluster 2 terdapat 7 toko, cluster 3 terdapat 16 toko dan cluster 4 terdapat 12 Toko.
Decision Support System Based on RECA and COPRAS Methods in Performance Evaluation of Non-Permanent Employees Ayuni Asistyasari; Iryanto Chandra; Sitna Hajar Hadad; Yosep Nuryaman; Junhai Wang
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.848

Abstract

The evaluation of the performance of non-permanent employees is a significant challenge for organizations due to the high turnover rate and the limited tenure of these employees. The manual evaluation processes often lead to biases, inconsistencies, and a lack of accuracy in supporting decision-making. This research aims to develop a decision support system based on the RECA and COPRAS methods to produce a more objective, transparent, and systematic evaluation. RECA is used to determine the criteria weights proportionally based on each contribution, while COPRAS functions to assess and provide a final ranking of employee performance by considering both benefit and cost-type criteria. The research results show that this system is capable of sorting non-permanent employees fairly with ranking results of E-AS-05 with a score of 100%, E-AS-03 with a score of 97.32%, E-AS-01 with a score of 94.03%, E-AS-02 with a score of 88.34%, and E-AS-04 with a score of 82.19%. The integration of the RECA and COPRAS methods not only enhances the effectiveness of performance evaluation but also provides a tangible contribution to supporting more efficient and sustainable human resource management.
Multi-Criteria Decision Model for Ranking the Best Marketplace Using CRISUS Weighting and OPARA Ranking Akil Thalib; Ayuni Asistyasari; Yosep Nuryaman; Raditya Rimbawan Oprasto; Aditia Yudhistira
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1568

Abstract

The rapid growth of e-commerce marketplaces in Indonesia has increased competition among platforms and created challenges in identifying the most suitable marketplace for users and businesses. Previous studies commonly applied conventional Multi-Criteria Decision-Making (MCDM) approaches, yet many of these methods rely heavily on subjective weighting or limited data-based evaluation, which may lead to inconsistent ranking results. Therefore, this study aims to develop a more objective decision-making model for marketplace evaluation by integrating the CRISUS weighting method with the OPARA ranking approach. The dataset consists of quantitative marketplace performance indicators collected from public digital statistics, including monthly visits, annual visits, application ratings, number of downloads, and the number of active sellers for several major marketplaces operating in Indonesia. The CRISUS method is used to determine criterion weights based on actual data variation to reduce subjective bias, while OPARA evaluates the alternatives through an optimized pairwise ratio mechanism to obtain the final preference values. The experimental results indicate that Shopee achieves the highest score of 0.3078, followed by Lazada with 0.2476 and Tokopedia with 0.2327, demonstrating their stronger performance compared with other marketplace alternatives based on the evaluated criteria. These findings contribute both academically and practically by providing a transparent and data-driven MCDM framework that improves the reliability of marketplace ranking and can support stakeholders in making more informed platform selection decisions.
Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode Entropy dan WASPAS Indah Hartati; Yosep Nuryaman
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i2.364

Abstract

Penilaian kinerja karyawan merupakan salah satu aspek penting dalam manajemen sumber daya manusia karena menjadi dasar dalam pengambilan keputusan terkait promosi jabatan, pemberian penghargaan, serta evaluasi kinerja secara berkala. Namun, proses penilaian yang masih dilakukan secara manual sering kali menimbulkan subjektivitas dan kurang mampu memberikan hasil yang konsisten. Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) menggunakan kombinasi metode Entropy dan Weighted Aggregated Sum Product Assessment (WASPAS) dalam penilaian kinerja karyawan. Metode Entropy digunakan untuk menentukan bobot kriteria secara objektif berdasarkan tingkat penyebaran data, sedangkan metode WASPAS digunakan untuk menghitung nilai preferensi dan melakukan perangkingan alternatif. Tahapan penelitian meliputi pengumpulan data, penyusunan matriks keputusan, perhitungan bobot menggunakan metode Entropy, perhitungan nilai preferensi menggunakan metode WASPAS, serta analisis hasil perangkingan. Hasil penelitian menunjukkan bahwa bobot kriteria terbesar diperoleh pada C1 sebesar 0,1973, sedangkan bobot terkecil terdapat pada C5 sebesar 0,0874. Berdasarkan hasil perhitungan metode WASPAS, alternatif A3 memperoleh nilai preferensi tertinggi sebesar 0,9952 sehingga menempati peringkat pertama, diikuti oleh A7 dengan nilai 0,9905 dan A1 dengan nilai 0,9689. Hasil tersebut menunjukkan bahwa kombinasi metode Entropy dan WASPAS mampu menghasilkan proses penilaian yang objektif, transparan, dan konsisten sehingga dapat digunakan sebagai pendukung pengambilan keputusan dalam penilaian kinerja karyawan.
Modified Simple Additive Weighting with Ideal Distance Compensation for Improved Ranking Stability Riska Aryanti; Junhai Wang; Setiawansyah Setiawansyah; Ayuni Asistyasari; Yosep Nuryaman; Pritasari Palupiningsih
IJID (International Journal on Informatics for Development) Vol. 15 No. 2 (2026): Online First
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2026.6130

Abstract

The Simple Additive Weighting (SAW) method is a widely recognized and straightforward approach for multi-criteria decision-making. Yet it is prone to ranking instability due to its sensitivity to weight variations, normalization scales, and extreme values. To overcome these challenges, this study introduces a Modified SAW method with Ideal Distance Compensation (SAW-I), which integrates a distance-based adjustment relative to positive and negative ideal solutions within the traditional weighted summation framework. This enhancement considers not only total scores but also the relative position of each alternative in the decision space. The method was applied to two case studies. When compared to other MCDM techniques—SMART, MOORA, GRA, MAUT, WP, and WASPAS-SAW-I demonstrated very high Spearman rank correlations, approaching 1, confirming strong consistency and reliability. Sensitivity analyses further indicated that SAW-I maintains stable rankings even under variations in weights, highlighting its robustness, adaptability, and effectiveness. The sensitivity analysis shows highly stable performance, demonstrating perfect correlation (1.0000) with SMART and WP, and very strong correlation (0.9762) with MOORA, GRA, MAUT, and WASPAS. These results confirm that SAW-I provides high compatibility and consistent rankings, making it more reliable and robust.
Co-Authors Aditia Yudhistira Afri Yudha Akil Thalib Arshad, Muhammad Waqas Asistyasari, Ayuni Astried Silvanie Astried Silvanie Aulia Andhikawati Aulia Andhikawati Aziz Setyawan Hidayat, Aziz Setyawan Bibit Sudarsono Dwiatmojo, Satrio Ernawati Ernawati Ernawati Ernawati Faddillah, Umi Felix Wuryo Handono Hidayat, Syamsu Indah Hartati Iryanto Chandra Junhai Wang Junhai Wang Mohamad Anas Sobarnas Nanang Nuryadi Nanang Nuryadi, Nanang Nandang Suwela Palupiningsih, Pritasari Pria Sukamto Raditya Rimbawan Oprasto Riska Aryanti Rizal, Khairul Setiawansyah Setiawansyah Sitna Hajar Hadad Syamsu Hidayat Umi Faddilah Umi Faddillah Ummi Faddillah Very Hendra Saputra Wahyudi, Agung Deni