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All Journal Jurnal Teknik Informatika (JUTIF) Economic: Journal Economic and Business Bhumiputra: Jurnal Penelitian dan Pengabdian Masyarakat Global
Syahputra, Muhammad Reza
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Other

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Analysis of the Role of Teamwork in Improving Sales Performance at PT. Alfa Scorpii Sentral Yamaha Medan Nelfita, Natasyah; Syahreza, Dina Sarah; Aprinawati, Aprinawati; Rumapea, Yesayas Roganda; Natasya, Eva; Syahputra, Muhammad Reza
Economic: Journal Economic and Business Vol. 3 No. 4 (2024): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v3i4.795

Abstract

This study aims to analyze the role of teamwork in improving sales performance at PT. Alfa Scorpii Sentral Yamaha Medan. Facing increasingly fierce competition in the automotive industry, the company encounters challenges related to the effectiveness of teamwork, including communication issues, unequal member involvement, and unclear task distribution. Using a qualitative approach through a case study method, this research identifies that good leadership, mutual trust among team members, and organizational support are key factors that strengthen teamwork. The findings indicate that teamwork plays a significant role in enhancing operational efficiency, strengthening customer relationships, and facilitating collective achievement of sales targets. This study recommends team skill training, improving communication transparency, implementing team-based incentives, and strengthening the role of supervisors to foster a work environment that supports effective teamwork.
Accurate Skin Tone Classification for Foundation Shade Matching using GLCM Features-K-Nearest Neighbor Algorithm Syahputra, Muhammad Reza; Mazdadi, Muhammad Itqan; Budiman, Irwan; Farmadi, Andi; Saputro, Setyo Wahyu; Rozaq, Hasri Akbar Awal; Sutaji, Deni
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4723

Abstract

Foundation shade matching remains a significant challenge in the beauty industry, particularly in Indonesia where consumers exhibit three distinct skin tone categories: ivory white, amber yellow, and tan. Manual foundation selection often results in mismatched shades, leading to customer dissatisfaction. This study presents a novel automated skin tone classification system combining Gray Level Co-Occurrence Matrix (GLCM) feature extraction with the K-Nearest Neighbor (KNN) algorithm. The GLCM method extracts four key texture features (contrast, homogeneity, energy, and entropy) from facial images, while KNN performs classification. A comprehensive dataset of 963 facial images was used, with 770 training and 193 test samples collected under controlled lighting conditions. After testing K values from 1 to 15, the optimal K=1 achieved 75.65% accuracy. Compared to baseline color histogram methods (60% accuracy), our GLCM-KNN approach demonstrates 15.65% improvement in classification performance. This research contributes to computer vision applications in beauty technology, enabling the development of mobile applications for virtual foundation try-on and personalized product recommendations. The findings have significant implications for the cosmetics industry, particularly for automated cosmetic shade matching systems and enhanced customer experience in online beauty retail. Further research is recommended to explore deep learning approaches and expand dataset diversity to improve accuracy.
Efisiensi Pertanian Jagung: Sosialisasi Dan Pendampingan Penggunaan Alat Tanaman Biji Jagung Untuk Meningkatkan Efisiensi Kerja Petani Syahputra, Muhammad Reza; Jovian, Satrio Jiro; Oktaviano, Dion Ardian; Arif, Muhammad Junaidi; Diyanti, Daffa Dwi Sri
Bhumiputra: Jurnal Penelitian dan Pengabdian Masyarakat Global Vol. 2 No. 3 (2025): September
Publisher : Yayasan Cendekia Gagayunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63142/bhumiputra.v2i3.321

Abstract

Agricultural technology innovations continue to evolve to enhance efficiency and productivity. One such innovation is the 2-in-1 corn planting tool, which enables the simultaneous planting of two corn seeds in a single motion. This study aims to evaluate the tool's effectiveness in improving crop yields and labor efficiency. A qualitative case study approach was employed, involving interviews and direct observation of three farmers who tested the tool in Candiwatu Village. The findings show that the tool reduces planting time by 30–40%, lessens physical fatigue, and ensures consistent planting depth and spacing. Furthermore, it is environmentally friendly as it does not rely on external energy sources. Thus, the 2-in-1 corn planting tool is considered feasible for wider adoption as a simple mechanization solution in Indonesia's corn farming sector.
Co-Authors Andi Farmadi Aprinawati, Aprinawati Arif, Muhammad Junaidi Deni Sutaji Diyanti, Daffa Dwi Sri Irwan Budiman Jovian, Satrio Jiro Muhammad Itqan Mazdadi Natasya, Eva Nelfita, Natasyah Oktaviano, Dion Ardian Rozaq, Hasri Akbar Awal Rumapea, Yesayas Roganda Saputro, Setyo Wahyu Syahreza, Dina Sarah