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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Manajemen International Journal of Business and Applied Economics (IJBAE) Majalah Ilmiah METHODA
Tamado Simon Sagala
Universitas Methodist Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health

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 1 
Analysis of the Influence of Compensation, Organizational Culture, and Leadership on Job Satisfaction and Their Impact on Employee Performance at PT. Perkebunan Nusantara II Kebun Bandar Klippa Tamado Simon Sagala; Rasmulia Sembiring; Siti Normi
International Journal of Business and Applied Economics Vol. 2 No. 4 (2023): July 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijbae.v2i4.5375

Abstract

This study aims to find out how much influence compensation, organizational culture, and leadership have on employee performance at PT. Nusantara Pekebunan II Bandar Klippa Garden, both partially and simultaneously, and how Work Satisfaction mediates it. The research method used was descriptive-quantitative. Research results Indirectly, compensation, organizational culture, and leadership's influence on performance can be mediated by job satisfaction. where the direct effect of compensation on employee performance is 0.261 while the indirect effect is 0.078, so it can be concluded that the direct effect of compensation on employee performance is higher than the indirect effect. The direct effect of organizational culture is 0.059 on employee performance, while the indirect effect is 0.021, so it can be concluded that the direct effect of organizational culture on employee performance is higher than the indirect effect. The direct effect of leadership is 0.355 on employee performance, while the indirect effect is 0.128, so it can be concluded that the direct effect of leadership on employee performance is higher than the indirect effect.
Pengaruh Kepemimpinan serta Kompensasi terhadap Motivasi Atlet Esports Pelatda Provinsi Sumatera Utara Sagala, Tamado Simon
Majalah Ilmiah METHODA Vol. 14 No. 2 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

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

Abstract

Esports is an official sports branch in Indonesia, as stated in the results of the KONI National Working Meeting (RAKERNA) in 2020, which declared esports to be part of the prestigious sports branch. This is also in line with the establishment of the Indonesian Esports Association (PBESI) as the governing body of electronic sports under the National Sports Committee of Indonesia (KONI). Research results show that the t-value of both variables is below 0.005, and F calculated is greater than F table (570.063 > 2.91). It can be explained that leadership has a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra. Compensation also has a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra partially. Furthermore, it is found that both leadership and compensation have a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra simultaneously.
Analisis Komunikasi Pemasaran terhadap Keputusan Pembelian Produk Sepeda Motor Honda Beat pada Pt. Indostar Sukses Mandiri Tamado Simon Sagala
MAMEN: Jurnal Manajemen Vol. 3 No. 2 (2024): April 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/mamen.v3i2.3674

Abstract

Consumers' purchase decisions are often influenced by a company's marketing communications such as advertising and direct marketing. PT. Indostar Sukses Mandiri has active marketing communications activities including advertising and interactive direct marketing. Purpose of this study is to determine the influence of advertising and direct marketing on the purchase decision of Honda Beat motorcycles in PT. Indostar Sukses Mandiri which is Indostar Sukses Mandiri. Sukses Mandiri is located at Jalan Karya No. 184, Sei Agul, Medan Barat, Medan City. The target population of this study is 93 customers of PT Indostar Sukses Mandiri. The sample of this study is 48 people and the method of selection is purposive sampling. The methods of data collection in this study are questionnaire and document analysis. Multiple regression analysis using SPSS 23 program was used as data analysis method in this study. The results of this study show that partial promotion has a positive and significant effect on purchase decision. It was also found that direct marketing has partial positive and significant effect on purchase decision of Honda Beat motorcycles in PT. Indostar Sukses Mandiri.
Penerapan Metode Holt-Winters untuk Memprediksi Produksi Biji Kopi Arabica Lintong Nihuta Arina Prima Silalahi; Tamado Simon Sagala; Laura Sridevi Sihombing; Harlen Gilbert Simanullang
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp143-150

Abstract

Arabica coffee bean production in Lintong Nihuta fluctuates every month, requiring a method to predict future production volumes. Accurate predictions can aid production planning and decision-making. This study aims to predict Arabica coffee bean production using the Holt-Winters multiplicative method, which can capture trends and seasonal patterns in time series data. The data used are 60 monthly production data points from January 2021 to December 2025. The analysis process begins with determining the initial values of the level, trend, and seasonal components, followed by a smoothing process using parameters α = 0.4, β = 0.45, and γ = 0.35. Model evaluation was performed using the Mean Absolute Percentage Error (MAPE) using 2025 data as the evaluation data. The evaluation results show a MAPE value of 13.12%, indicating that the model has a good level of accuracy. The prediction results show that Arabica coffee bean production in 2026 is expected to fluctuate, with the highest predicted value in December at 75,297.15 kg and the lowest in May at 36,737.38 kg. Therefore, the Holt-Winters multiplicative method can be used to predict Arabica coffee bean production in the Lintong Nihuta District in the future.
Sistem Pendukung Keputusan Penentuan Role Atlet Esports Provinsi Sumatera Utara Menggunakan Pendekatan Machine Learning Tamado Simon Sagala; Yusuf Ijonris; Nettina Samosir
Majalah Ilmiah METHODA Vol. 15 No. 3 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No3.pp313-321

Abstract

The continuous growth of esports as a technology-driven competitive activity has increased the demand for professional team management, particularly in assigning suitable roles to athletes based on their individual skills. One of the major challenges faced by coaches is determining athlete roles objectively, as this process is often influenced by subjective judgment and lacks support from systematic data analysis. To address this issue, this study aims to develop a decision support system for determining esports athlete roles in North Sumatra Province by utilizing machine learning approaches. This research applies several classification methods, namely K-Nearest Neighbor (KNN), Naive Bayes, and Support Vector Machine (SVM). The dataset used in this study consists of performance data for esports athletes that have undergone preprocessing stages and are divided into training and testing sets. The evaluation of model performance is conducted using standard classification assessment metrics to compare the effectiveness of each algorithm. The findings show that the KNN and SVM algorithms are better at classifying esports athletes' roles than the Naive Bayes algorithm. These two methods yield more stable and dependable results, rendering them more appropriate for facilitating decision-making processes concerning athlete role assignment. This study is expected to provide practical support for coaches and relevant stakeholders in making objective and data-driven decisions regarding the determination of esports athlete roles. Furthermore, future research can enhance the proposed system by increasing the amount of data and exploring other machine learning techniques to improve overall system performance
Co-Authors Laura Sridevi Sihombing Nettina Samosir Rasmulia Sembiring Silalahi, Arina Prima Simanullang, Harlen Gilbert Siti Normi Yusuf Ijonris