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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Adopsi Teknologi dan Sistem Informasi
Sumarlin
Universitas Uyelindo
Computer Science & IT

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Analisis Customer Relationship Management pada Pelayanan Statistik Terpadu di Badan Pusat Statistik Provinsi Nusa Tenggara Timur Kiki Rambu Kinansa Nanggi Ang; Sumarlin; Skolastika Siba Igon; Dewi Anggraini
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 5 No. 2 (2026): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/atasi.v5i2.4760

Abstract

Pelayanan Statistik Terpadu (PST) BPS Provinsi Nusa Tenggara Timur mempunyai peran dalam menyediakan layanan data yang cepat, akurat, dan mudah diakses bagi masyarakat. Setiap upaya untuk meningkatkan kualitas pelayanan harus diarahkan pada pembentukan hubungan yang berkelanjutan antara petugas dan penerima layanan. Metode survei digunakan dalam penelitian ini untuk mengevaluasi pengaruh Customer Relationship Management (CRM) terhadap kepuasan dan loyalitas pengguna layanan PST. Data dikumpulkan dengan teknik purposive sampling kepada pengguna layanan PST, dan dianalisis menggunakan Partial Least Square – Structural Equation Modeling (PLS-SEM) melalui SmartPLS 4.0. Hasil penelitian menunjukkan sumber daya manusia tidak berpengaruh signifikan terhadap kepuasan (T = 0.345 dan  P = 0.730), sedangkan, proses dan teknologi berpengaruh positif dan signifikan (T = 4,214 dan 5.398 serta nilai P untuk keduanya = 0.000). Kepuasan juga berpengaruh signifikan terhadap loyalitas (T = 22.627 dan P = 0.000). Hasil menunjukkan bahwa kepuasan menjadi penentu utama loyalitas, sehingga peningkatan aspek proses dan teknologi menjadi prioritas dalam meningkatkan kualitas pelayanan PST.  
PREDIKSI PENJUALAN OBAT PADA PEDAGANG BESAR FARMASI MENGGUNAKAN METODE PERBANDINGAN EKSPONENSIAL (MPE) Fransiskus Masan; Sumarlin; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6217

Abstract

Mathio Jaya Pharma is a pharmaceutical distribution company that plays an important role in maintaining drug inventory to meet customer demand. Inappropriate inventory management can lead to overstocking, which increases the risk of product expiration, or stock shortages that may disrupt customer service. This study aims to predict drug sales as a basis for inventory procurement planning for the following period. The methods used in this study are the Entropy Method to determine objective criterion weights based on data variation and the Exponential Comparison Method to generate drug sales predictions. The data used consist of drug sales records from January 1 to December 31, 2025, with inventory, price, and total sales as the evaluation criteria. The weights obtained from the Entropy Method are used as input for the MPE calculation to produce sales predictions for the next period. The results indicate that the system is capable of generating drug sales predictions and providing inventory status information categorized as safe or critical. Based on the prediction results, Paracetamol, Dexa, and Caviplex are classified as safe because the available stock is sufficient to meet future demand, while Amoxicillin is categorized as critical and requires additional procurement. Accuracy testing using the Mean Absolute Percentage Error (MAPE) produced values of 74.51% for Paracetamol, 58.33% for Caviplex, 47.51% for Dexa, and 33.33% for Amoxicillin. The findings indicate that the combination of the Entropy Method and the Exponential Comparison Method can assist the company in predicting future drug sales and support more effective and efficient decision-making in inventory management.
Co-Authors Dewi Anggraini Fransiskus Masan Heni Kiki Rambu Kinansa Nanggi Ang Skolastika Siba Igon