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All Journal Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Instal : Jurnal Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Manajemen dan Inovasi Kewirausahaan
Aldy
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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Determining the Best Location for a New Retail Branch with the Weighted Aggregated Sum Product Assessment Method Aldy; Hendrawan, Jodi; Putra, Hardiansyah
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.266

Abstract

Determining a strategic location for the opening of a new branch is an important decision in the development of the retail business. Choosing the right location can increase competitiveness and business success, while choosing the right one can pose a risk of loss. This article aims to evaluate and determine the best location for a new retail branch using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The WASPAS method was chosen because of its ability to combine two multi-criteria approaches, namely the Weighted Sum Model (WSM) and the Weighted Product Model (WPM), which allows for a more comprehensive assessment of various location determinants, such as demographics, accessibility, operational costs, and market potential. Through a case study conducted on a company, the results of this study show that the WASPAS method can provide accurate and reliable recommendations in determining the best location for a new branch. The resulting recommendations are expected to support better strategic decision-making in the development of retail networks.
Stimulus Kultivasi pada Media Sosial dalam Mempengaruhi Kecenderungan Komunikasi Generasi Z Aldy; Kholil, Syukur
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1307

Abstract

This study aims to analyze the influence of cultivation stimulus from social media on the communication tendencies of Generation Z. This generation grows up in the digital age with intensive exposure to social media content, which affects the way they interact and express themselves. The research method used is a qualitative approach with literature studies and in- depth interviews as data collection techniques. The literature study examined the theory of cultivation and the influence of social media, while in-depth interviews were conducted with members of Generation Z to gain an empirical perspective on their communication patterns. The results of the study show that the cultivation stimulus of social media, especially the content delivered by influencers, has a significant impact on shaping communication preferences. Generation Z is more likely to use visual symbols such as emojis and GIFs in digital communication, which shows an adaptation to the interactive features of social media platforms. In addition, it was found that social media facilitates active participation in social and political discussions, but also causes an echo chamber phenomenon that reinforces similar views. However, a high reliance on social media for social validation poses mental health risks, such as anxiety and depression. The study concludes that while social media provides opportunities for Generation Z to develop more expressive and socially engaged communication, good digital literacy is needed to mitigate any negative impacts that may arise. With a better understanding of the influence of cultivation stimulus, Generation Z can make wise and effective use of social media.
Pengaruh Lingkungan Kerja dan Gaya Kepemimpinan Terhadap Loyalitas Karyawan Aldy; Siti , Mardah; Citra , Amelia
JMIK: Jurnal Manajemen dan Inovasi Kewirausahaan Vol. 1 No. 2 (2025): Jurnal Manajemen dan Inovasi Kewirausahaan (JMIK)
Publisher : PT. Syalma Global Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64532/vr3jhh47

Abstract

Premis utama dari penelitian ini adalah bahwa loyalitas karyawan sangat penting untuk menjaga stabilitas dan efektivitas operasi bisnis. Tujuan dari penelitian ini adalah untuk menguji bagaimana lingkungan kerja dan gaya kepemimpinan PT. Lingkar Sakti Mas Banjarmasin memengaruhi loyalitas karyawan. Seluruh populasi yang terdiri dari 32 karyawan menjadi responden untuk penelitian kuantitatif ini, yang menggunakan teknik pengambilan sampel jenuh. Kuesioner skala Likert yang tervalidasi dan reliabel digunakan untuk mengumpulkan data. Regresi linier berganda digunakan untuk analisis. Dengan nilai t hitung sebesar 6,021 > t tabel 2,042 dan tingkat signifikansi 0,000 < 0,05, temuan menunjukkan bahwa loyalitas karyawan (Y) secara signifikan dipengaruhi oleh lingkungan kerja (X1). Dengan nilai t hitung sebesar 2,416 > t tabel 2,042 dan signifikansi 0,022 < 0,05, gaya kepemimpinan (X2) juga menunjukkan pengaruh yang signifikan secara parsial. Nilai F hitung sebesar 25,123 > F tabel 3,328 dan tingkat signifikansi 0,000 < 0,05 secara simultan menunjukkan bahwa kedua variabel memiliki dampak signifikan terhadap loyalitas karyawan. Kesimpulannya, peningkatan standar tempat kerja dan kepemimpinan yang mumpuni secara langsung meningkatkan loyalitas karyawan di dalam organisasi.
Implementasi Sistem Pakar Berbasis Web Untuk Diagnosis Penyakit Tanaman Padi Menggunakan Metode Naive Bayes Di Balai Penyuluh Pertanian Kecematan Moyo Hulu Aldy, Aldy; Susanto, Eri Sasmita; Aldy; Esabella, Shinta; Ekastini, Ekastini
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 1 (2026): April 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v12i1.19423

Abstract

This study developed a web-based expert system for diagnosing rice plant diseases using the Naive Bayes Classifier method and the Spiral Model software development model. The Spiral approach allows for iterative development with a focus on risk management and validation by agricultural experts. The system includes 12 disease types and 27 symptoms, and generates probabilistic diagnoses along with recommended actions. Testing on 21 cases demonstrated 95.24% accuracy compared to expert assessment, demonstrating the effectiveness of this method in providing a reliable diagnostic tool to support national food security.
Co-Authors Aldy, Aldy Citra , Amelia Ekastini Ekastini Eri Sasmita Susanto Hardiansyah Putra Hendrawan, Jodi Kholil, Syukur Shinta Esabella Siti , Mardah