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All Journal Login : Jurnal Teknologi Komputer Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) Jurnal Multidisiplin Sahombu
Simbolon, Oslan Juliana
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Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice

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Implementasi Sistem Pendukung Keputusan Berbasis Topsis untuk Optimalisasi Rotasi dan Promosi Karyawan di Bidang Marketing dan Penjualan Sitanggang, Lestari Pratiwi; Trisanti, Ayu; Sirait, Ritawati; Simbolon, Oslan Juliana; Tarigan, Miska Irani Br; Haloho, Elizabeth
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 5 No. 02 (2025): Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) : Desember-Febuari
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v5i02.1137

Abstract

Human resource management (HRM) in the field of marketing and sales is an essential aspect of achieving organizational goals. The process of employee rotation and promotion is often carried out based on managerial intuition, which can lead to subjectivity and unfair decision-making. This study aims to implement a Decision Support System (DSS) based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to assist in the employee rotation and promotion process in an objective and systematic manner. The research methodology uses a quantitative approach with a case study in a company operating in the marketing sector. Data were collected through surveys, interviews with HR managers, and historical employee data analysis based on five key criteria: sales performance, creativity, communication skills, work experience, and loyalty. The findings indicate that the TOPSIS method provides accurate recommendations in determining the best candidates based on their relative proximity to the ideal solution. The analysis also identifies that sales performance is the most dominant factor in decision-making, with the highest weight of 35%. The implementation of a TOPSIS-based DSS enhances decision-making efficiency and accuracy while reducing subjectivity in the employee rotation and promotion process. The study concludes that this system can be an effective solution in supporting HR decision-making based on data-driven analysis and objective evaluation
The Impact of Implementing Human Resource Analytics on Human Resource Management Decision Making Trisanti, Ayu; Sitanggang, Lestari Pratiwi; Manjorang, Nesa Repinalia Br; Simbolon, Oslan Juliana; Sitompul, Pandapotan
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 5 No. 02 (2025): Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) : Desember-Febuari
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v5i02.1221

Abstract

HR Analytics has become a strategic tool in Human Resource Management (HRM), enabling organizations to make data-driven decisions that enhance operational effectiveness and efficiency. This study aims to analyze the impact of HR Analytics implementation on decision-making in HRM, considering both supporting and inhibiting factors of its implementation. The research uses a quantitative approach, surveying HR professionals across various industries. The findings show that the application of HR Analytics significantly contributes to improving decision-making accuracy, particularly in recruitment, performance management, and employee retention. However, challenges such as limited data literacy, technological infrastructure, and resistance to change remain key barriers to the optimal use of HR Analytics. The study provides implications for organizations to invest more in developing HR analytical competencies and fostering a data-driven decision-making culture. These findings align with the hypothesis that HR Analytics has a positive impact on decision-making and that HR analytical competence strengthens this relationship, while resistance to change weakens its effectiveness. Ultimately, organizations can maximize the benefits of HR Analytics by enhancing analytical skills and minimizing resistance to change.
Simulasi Pencarian Rute Terpendek dengan Metode Algoritma A* (A-Star) Simbolon, Oslan Juliana
Login : Jurnal Teknologi Komputer Vol. 17 No. 1 (2023): Login : Jurnal Teknologi Komputer, Edition June 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v17i1.97

Abstract

Pencarian rute terpendek merupakan suatu permasalahan yang sering muncul pada pengguna sarana transportasi, karena para pengguna sarana transportasi dalam melakukan perjalanan memerlukan solusi untuk mendapatkan rute atau jalur tempuh terpendek. Hal ini eratkaitannya dengan efisiensi waktu, biaya, serta tenaga yang dikeluarkan. Algoritma A* menggunakan estimasi jarak terdekat untuk mencapai tujuan (goal) dan memiliki nilai heuristik yang digunakan sebagai dasar pertimbangan. Heuristik adalah kriteria, metoda, atau prinsip-prinsip untuk menentukan pilihan sejumlah alternatif untuk mencapai sasaran dengan efektif. Hasil pada penelitian iniadalah berupa realisasi program simulasi pencarian rute terpendek dari posisi asal ke posisi yang dituju (goal) dengan menggunakan bahasa pemrograman Visual 2008. Representasi visual dari Graf adalahdengan menyatakan obyek sebagai simpul, dan hubungan antara simpul dinyatakan dengan Titik-titik. Program simulasi ini memberikan kemudahan untuk menentukan rute terpendek yanga kan dilalui dari posisi asal ke tujuan.
Simulasi Pencarian Rute Terpendek dengan Metode Algoritma A* (A-Star) Simbolon, Oslan Juliana
Login : Jurnal Teknologi Komputer Vol. 17 No. 1 (2023): Login : Jurnal Teknologi Komputer, Edition June 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v17i1.97

Abstract

Pencarian rute terpendek merupakan suatu permasalahan yang sering muncul pada pengguna sarana transportasi, karena para pengguna sarana transportasi dalam melakukan perjalanan memerlukan solusi untuk mendapatkan rute atau jalur tempuh terpendek. Hal ini eratkaitannya dengan efisiensi waktu, biaya, serta tenaga yang dikeluarkan. Algoritma A* menggunakan estimasi jarak terdekat untuk mencapai tujuan (goal) dan memiliki nilai heuristik yang digunakan sebagai dasar pertimbangan. Heuristik adalah kriteria, metoda, atau prinsip-prinsip untuk menentukan pilihan sejumlah alternatif untuk mencapai sasaran dengan efektif. Hasil pada penelitian iniadalah berupa realisasi program simulasi pencarian rute terpendek dari posisi asal ke posisi yang dituju (goal) dengan menggunakan bahasa pemrograman Visual 2008. Representasi visual dari Graf adalahdengan menyatakan obyek sebagai simpul, dan hubungan antara simpul dinyatakan dengan Titik-titik. Program simulasi ini memberikan kemudahan untuk menentukan rute terpendek yanga kan dilalui dari posisi asal ke tujuan.
Implementation of Knowledge Management in Improving Organizational Innovation and Performance in the Digital Era Sirait, Ritawati; Sitanggang, Lestari Pratiwi; Simbolon, Oslan Juliana; Trisanti, Ayu; Br. Tarigan, Miska Irani
Jurnal Multidisiplin Sahombu Vol. 5 No. 07 (2025): Jurnal Multidisiplin Sahombu, November - December (2025)
Publisher : Sean Institute

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

Abstract

Digital transformation has encouraged organizations to optimize knowledge management (KM) as a strategy to improve innovation and performance. This study aims to analyze the role of knowledge management implementation in supporting innovation and organizational performance in the digital era through a literature review approach of fifteen national and international journals published between 2011 and 2025. The analysis was conducted by identifying research methods, variables, and key findings from each study, then synthesizing them to find patterns of relationships between KM, digitalization, innovation, and organizational performance. The results of the study indicate that KM processes including the creation, storage, sharing, and application of knowledge have a significant influence on increasing innovation, operational effectiveness, and the ability of organizations to adapt to changes in the digital environment. Digitalization acts as an enabler that strengthens KM implementation through information technology, digital collaboration systems, and data-based knowledge sharing mechanisms. Knowledge sharing culture and transformational leadership are also proven to be key determinants of KM success, while obstacles such as employee resistance and limited digital infrastructure are still frequently encountered. Overall, this study confirms that the integration of KM, digitalization, and an adaptive organizational culture is a strategic foundation for improving organizational innovation and performance in the digital era.
Co-Authors Br. Tarigan, Miska Irani Manjorang, Nesa Repinalia Br Sirait, Ritawati Sitanggang, Lestari Pratiwi Sitompul, Pandapotan Tarigan, Miska Irani Trisanti, Ayu