Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Jurnal Minfo Polgan (JMP) Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA)
M. Asyari Syahab
Universitas Battuta
Computer Science & IT Economics, Econometrics & Finance Education Library & Information Science Mathematics Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Penerapan Algoritma K-Nearest Neighbor untuk Klasifikasi Produk Terlaris pada Usaha Mikro M. Asyari Syahab; Aripin Rambe; Baginda Harahap; Dinur Syahputra
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16298

Abstract

Penelitian ini bertujuan untuk menerapkan algoritma K-Nearest Neighbor (KNN) dalam mengklasifikasikan produk terlaris pada Kafe Anugerah Kupi sehingga dapat membantu pengambilan keputusan terkait pengelolaan stok dan strategi pemasaran. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan Data Mining menggunakan tahapan Knowledge Discovery in Database (KDD) yang meliputi seleksi data, pembersihan data (data cleaning), transformasi data, proses klasifikasi menggunakan algoritma K-Nearest Neighbor (KNN), serta evaluasi hasil klasifikasi. Data penelitian diperoleh dari data historis penjualan produk pada Kafe Anugerah Kupi dengan atribut yang digunakan meliputi jumlah penjualan, frekuensi pembelian, dan stok produk. Proses klasifikasi dilakukan menggunakan nilai K = 3 dan pengukuran jarak menggunakan metode Euclidean Distance. Hasil penelitian menunjukkan bahwa algoritma K-Nearest Neighbor (KNN) berhasil mengklasifikasikan produk ke dalam tiga kategori, yaitu Terlaris, Cukup Laris, dan Kurang Laris. Dari hasil pengolahan data diperoleh sebanyak 10 produk kategori Terlaris, 6 produk kategori Cukup Laris, dan 12 produk kategori Kurang Laris. Hasil evaluasi model menggunakan Confusion Matrix menunjukkan tingkat akurasi sebesar 77,78%, yang menandakan bahwa algoritma KNN memiliki performa yang cukup baik dalam melakukan klasifikasi produk terlaris pada Kafe Anugerah Kupi. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan algoritma K-Nearest Neighbor (KNN) mampu membantu proses klasifikasi produk terlaris secara efektif dan dapat dijadikan sebagai pendukung keputusan dalam pengelolaan produk, pengendalian stok, dan strategi pemasaran pada usaha mikro.
BREAKING INTO THE RESIDENTIAL PROPERTY MARKET: DEVELOPING AN EFFECTIVE 7+1P MARKETING MODEL FOR CLOSING DEALS Tina Muhardika Handayani; Muammar Rinaldi; M. Asyari Syahab; Shintami Oktavia; Nazwa Aulia Putri Lubis
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22732186

Abstract

The objective of this study is to analyze the contribution of an expanded marketing mix, specifically the 7+1P model (Product, Price, Place, Promotion, People, Process, Physical Evidence, and Privacy), to the success of closing deals in subsidized housing in Medan City. The research utilizes a quantitative approach with descriptive and verification designs, involving a sample of 350 respondents including buyers, developers, and marketing personnel. Data were collected via closed questionnaires and analyzed through multiple linear regression using SPSS software. The results demonstrate that all elements of the 7+1P marketing mix Product, Price, Place, Promotion, People, Process, Physical Evidence, and Privacy have a positive and significant effect on closing deals both partially and simultaneously. The model explains 68% of the variation in closing success, with Privacy emerging as the most influential factor, followed by Product and Place. Consequently, it is recommended that developers strategically integrate privacy elements, such as personal data protection, digital transaction security, and residential environmental comfort, as key differentiators to build consumer trust. Furthermore, developers must continue to optimize product quality and strategic locations to remain competitive and meet the specific housing needs of low-income communities.
MENINGKATKAN LOYALITAS PELANGGAN MELALUI LAYANAN DIGITAL: ANALISIS EXPECTATION CONFIRMATION MODEL PADA APLIKASI DELIVERY RESTORAN CEPAT SAJI DI MEDAN M. Asyari Syahab; Muammar Rinaldi; Bambang Sutejo; Adam Nurkholik
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 5 (2026): October (2026)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i5.7015

Abstract

Abstract: This study aims to analyze the level of confirmation of user expectations regarding the actual performance of delivery applications, examine the influence of perceived usefulness and satisfaction on continuance intention, and formulate data-driven customer retention strategies for fast-food businesses in Medan to minimize churn rates. A quantitative explanatory approach was employed, adopting Bhattacherjee’s Expectation-Confirmation Model (ECM) framework. This model was selected due to its strength in explaining post-adoption technology behavior—making it more relevant for loyalty studies than initial adoption models (such as TAM). The variables examined include Confirmation, Perceived Usefulness, Satisfaction, and Continuance Intention. Data were collected via a survey of active delivery app users in Medan and analyzed using Structural Equation Modeling (SEM) to test the validity of the ECM within the local context. Hypothesis testing results indicate that confirmation serves as a primary foundation, exerting a positive and significant influence on perceived usefulness, customer satisfaction, and directly on continuance intention; this confirms that the alignment between expectations and actual application performance drives an overall positive user experience. Furthermore, perceived usefulness proved to be a crucial antecedent significantly driving customer satisfaction, while customer satisfaction emerged as the strongest predictor of continuance intention, displaying the highest path coefficient among all variables tested.  Keyword: Expectation Confirmation; Customer Loyalty; Perceived Benefits.   Abstrak: Penelitian ini bertujuan untuk menganalisis tingkat konfirmasi harapan pengguna terhadap kinerja aktual aplikasi delivery, menguji pengaruh persepsi manfaat dan kepuasan terhadap niat penggunaan berkelanjutan dan merumuskan strategi retensi pelanggan berbasis data bagi pelaku usaha restoran cepat saji di Medan untuk meminimalisir churn rate. Pendekatan yang digunakan adalah kuantitatif eksplanatori dengan mengadopsi kerangka kerja Expectation Confirmation Model (ECM) dari Bhattacherjee. Model ini dipilih karena keunggulannya dalam menjelaskan perilaku pasca-adopsi teknologi, yang lebih relevan untuk studi loyalitas dibandingkan model adopsi awal (seperti TAM). Variabel yang diteliti meliputi Confirmation (Konfirmasi Harapan), Perceived Usefulness (Persepsi Manfaat), Satisfaction (Kepuasan), dan Continuance Intention (Niat Berkelanjutan/Loyalitas). Data dikumpulkan melalui survei terhadap pengguna aktif aplikasi delivery di Medan dan dianalisis menggunakan Structural Equation Modeling (SEM) untuk menguji validitas model ECM dalam konteks lokal. Hasil pengujian hipotesis menunjukkan bahwa konfirmasi harapan (confirmation) merupakan fondasi utama yang berpengaruh positif dan signifikan terhadap persepsi manfaat, kepuasan pelanggan, serta secara langsung terhadap niat berkelanjutan, yang menegaskan bahwa kesesuaian antara ekspektasi dan kinerja aktual aplikasi mendorong pengalaman positif pengguna secara menyeluruh. Selanjutnya, persepsi manfaat (perceived usefulness) terbukti menjadi anteseden penting yang secara signifikan mendorong kepuasan pelanggan, sementara kepuasan pelanggan (satisfaction) ditemukan sebagai prediktor terkuat terhadap niat berkelanjutan (continuance intention), dengan koefisien jalur tertinggi di antara seluruh variabel yang diuji.  Kata kunci: Konfirmasi Harapan; Loyalitas Pelanggan; Persepsi Manfaat.  
THE INFLUENCE OF PROMOTION AND SERVICE ON CONSUMER SATISFACTION AT LEKKER URBAN FOOD HOUSE RESTAURANT IN MEDAN CITY Ekuator Zai; Henny Purnama Dewi; M. Asyari Syahab
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 5 No. 3 (2027): January - ON PROGRESS
Publisher : PT. Radja Intercontinental Publishing

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

Abstract

This study aims to determine and analyze the partial and simultaneous influence of promotion and service on consumer satisfaction at Lekker Urban Food House Restaurant in Medan City. Intense competition in Medan's culinary sector requires business operators to implement effective promotional strategies and deliver high-quality service to build long-term customer satisfaction. A quantitative approach with an associative design was conducted on a sample of 140 consumer respondents selected via purposive sampling. Data collected through structured questionnaires were analyzed using instrument testing (validity and reliability), classical assumption tests (normality, multicollinearity, and heteroscedasticity), multiple linear regression, t-tests, F-tests, and the coefficient of determination (R²) via SPSS software. The empirical findings yield the multiple regression equation Y = 11.596 + 0.196X1 + 0.247X2. Partially, promotion exerts a positive and significant effect on consumer satisfaction (t_count 2.659 > t_table 1.977; sig. 0.009 < 0.05). Service also significantly enhances consumer satisfaction (t_count 3.093 > t_table 1.977; sig. 0.002 < 0.05). Simultaneously, promotion and service significantly affect consumer satisfaction (F_count 24.107 > F_table 3.06; sig. 0.000 < 0.05). The coefficient of determination (R²) of 0.260 indicates that promotion and service together explain 26.0% of the variance in consumer satisfaction, while the remaining 74.0% is governed by external variables such as product quality, price, and brand image. Restaurant management is advised to maintain promotion honesty and consistency while improving service responsiveness to minimize weekend wait times.
Co-Authors Adam Nurkholik Aripin Rambe Baginda Harahap Bambang Sutejo Dinur Syahputra Ekuator Zai Henny Purnama Dewi Muammar Rinaldi Nazwa Aulia Putri Lubis Shintami Oktavia Tina Muhardika Handayani