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THE EFFECTS OF THE QUALITY SERVICE AND THE CUSTOMER LOYALTY UPON THE REVENUE OF TELKOM COOPERATION UNIT BOGOR Dede Suparman
The Management Journal of Binaniaga Vol 2, No 01 (2017): June 2017
Publisher : STIE Binaniaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33062/mjb.v2i01.51

Abstract

Objective of this research is to identify whether the quality of the product and the customers loyalty have affected the revenue of Telkom Cooperation Bogor either simultaneously or partly.The population are the customers of Telkom Cooperation Bogor which is 240 people. Sampling has applied slovin formulation with 5% error rate resulting 150 respondents.Instrument of this research is the questionnaires. Collected data has been processed using a simple regression analysis technique and multiple regression applying SPSS (Statistical Package for Social Science).The result of the research has indicated that: First, the quality of a service has positively and significantly affected the revenue refers to the regression function Y = 38.598 + 0.532X1, it explains that when the quality of service is constant or X1 = 0, the revenue will be 38.598. Coefficient beta (b1) is 0.532 indicating that when the quality of service is increased 1 point, the revenue will increase 0.532. Second, the customers’ loyality has positively and significantly affected the revenue refers to the regression function Y = 43.333 + 0.467X2, it means that when the customers loyality is constant or X2 = 0, the revenue will be 43.333. Coefficient beta (b2) is 0.467 indicating that when the customers’ loyalty is increased 1 point, the revenue will increase 0.467. Third, both the quality of a service and the customers loyalty have positively and significantly affected the revenue refers to the multiple regression function Y = 26.760 + 0.412X1 + 0.191X2 which explaining: The value of 0.412 is the coefficient value of variable X1 for b1 value refers to the equations of multiple linear regression Y = a+b1X1+b2X2 and b1 = 0.412 identifying that every increasing of 1 point of the quality of service will obviously affect the revenue of 0.412 points and other independent variables are constant. The value of 0.191 is the coefficient value of variable X2 for b2 refers to the equations of multiple linear regression Y = a+b1X1+b2X2 and b2 = 0.191, explaining that every increasing of 1 point of the customers’ loyalty will affect the revenue of 0.191 point and the other independent variables are constant. Nevertheles the value of 26.760 is constant for the a value which is Y value when X = 0. The + (positive) token on the variable of the quality of service and the customers’ loyalty. The percentage value of the quality of service variable and the customers loyalty upon the revenue has obtained the Adjusted R Square value of 0.405 or (40.5%). It has indicated that the percentage of the effect of independent variable which is both the quality of service and the customers loyalty have affected the revenue 40.5%, moreover the remaining of 59.5% has been affected by other variables which are not included in this research.Keywords : The Quality of Service, the Customer Loyalty and Revenue. 
PELATIHAN OPTIMASI IG BISNIS UNTUK PENINGKATAN PENJUALAN INDIHOME DI WILAYAH LEUWILIANG KABUBATEN BOGOR Mohammad Wartaka; Sumardjono; Dede Suparman; Dimas Ari Darmantyo; Dadang Djunaedi; Heri Siswanto; Dadi M. Hasan Basri; Khalia Safitri; Karina Ningtyas Putri
Jurnal Abdi Inovatif : Pengabdian kepada Masyarakat Vol. 4 No. 2 (2025): Jurnal Abdi Inovatif : Pengabdian kepada Masyarakat
Publisher : Universitas Nusa Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31938/jai.v4i2.883

Abstract

This community service program aims to enhance the sales of Indihome services in the Leuwiliang region, Bogor Regency, through Instagram Business optimization training for marketing personnel. The primary issues faced by the partner include limited digital literacy, uneven internet access, lack of understanding of relevant content creation, and resource constraints. The implementation methods involved interactive presentations, hands-on content creation practice, group discussions, and individual mentoring, with a total duration of 4 hours. The training was attended by 30 participants, most of whom were unfamiliar with Instagram Business features. The results demonstrated a significant improvement in participants' understanding, evidenced by the creation of new business accounts and the ability to produce engaging promotional content. Participants also actively engaged in customer interaction simulations and discussions on localized marketing strategies. However, continuous mentoring is required to ensure consistent application of the knowledge gained. Recommendations include follow-up training, regular mentoring sessions, and collaboration with Telkom to provide stable internet infrastructure. This program is expected to serve as a model for empowering digital marketing personnel in rural areas