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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN KORAN DI MASA KEMAJUAN TEKNOLOGI SEMAKIN MENINGKAT PADA PT ARISMA INDONESIA MERDEKA DI KABUPATEN OGAN KOMERING ULU Malini, Hema; Tohir, Safaruddin; Mahendra, Oka
AT TARIIZ : Jurnal Ekonomi dan Bisnis Islam Vol 1 No 04 (2022): AT TARIIZ : JURNAL EKONOMI DAN BISNIS ISLAM
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/attariiz.v1i04.347

Abstract

This study is entitled Analysis of Factors Affecting Newspaper Purchasing Decisions in Times of Increasing Technological Progress at Pt Arisma Indonesia Merdeka in Ogan Komering Ulu Regency. This study aims to analyze the effect of consumer confidence, distribution and brand image on newspaper purchasing decisions at PT Arisma Indonesia Merdeka in Ogan Komering Ulu Regency. This research is descriptive and uses accidental sampling with a sample size of 94 respondents. Using multiple regression analysis techniques and to test the research hypothesis used the f test and t test. The results of the study are with multiple linear regression Y = 0.891 + 0.421X1 + 0.236X2 + 0.300X3. The equation can be interpreted that the constant is 0.891, which means that if consumer trust (X1), distribution (X2), and brand image (X3), the value is zero (not done), the purchase decision (Y) is 0.891. The coefficient value of purchasing decisions (X1) is 0.421, meaning that if consumer confidence (X1) increases by 1 unit, purchasing decisions (Y) will increase by 0.421. The distribution coefficient value (X2) is 0.236, meaning that if the distribution (X2) increases by 1 unit, the purchasing decision (Y) increases by 0.236. The brand image coefficient value (X3) is 0.300, meaning that if the brand image (X3) increases by 1 unit, the purchasing decision (Y) increases by 0.300. Determination testing obtained the contribution of consumer trust variables (X1), distribution (X2) and brand image (X3) to purchasing decisions (Y) of 80.9% while the remaining 19.1% was influenced or varied by other variables not included in this research model.
KLASIFIKASI ANALISIS PENDUKUNG KEPUTUSAN PENERIMA BEASISWA GENIUS STRATA 1 (S1) BADAN AMIL ZAKAT NASIONAL (BAZNAS) KABUPATEN BOJONEGORO MENGGUNAKAN METODE NAÏVE BAYES Mahendra, Oka
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 2 No. 1 (2022): Februari Multidisciplinary Applications of Quantum Information Science (Al-Mant
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v1i2.1995

Abstract

Saat ini, proses seleksi penerima beasiswa strata 1 (S1) jenius di Badan Amil Zakat Nasional (BAZNAS) Kabupaten Bojonegoro membutuhkan waktu lama untuk menentukan hasil penerima beasiswa. Dalam penentuan penerima beasiswa menggunakan metode Naïve Bayes sebagai pedoman pemilihan penerima beasiswa dengan beberapa kriteria yaitu berdomisili dan berkuliah di kabupaten Bojonegoro, dari keluarga kurang mampu rata-rata IPK mahasiswa 3,0, dan sekolah mahasiswa aktif baik dalam perkuliahan maupun organisasi. . Metode ini akan lebih efektif dalam perhitungan yang akan diinput oleh operator dan diketahui oleh WAKA 1 BAZNAS. Aplikasi ini dibuat berbasis online dengan menggunakan pemrograman PHP dan MySQL sebagai penyimpanannya. Penelitian ini bertujuan untuk membantu proses seleksi dengan menggunakan aplikasi yang dibuat untuk membantu operator dalam penginputan data dan mendapatkan hasil dari seleksi calon penerima beasiswa, setelah itu langsung mendapatkan status lulus atau tidak lulus penerima beasiswa sesuai dengan ketentuan yang berlaku. data yang telah diinput dan dari nilai bobot yang diberikan. diperoleh calon penerima beasiswa. Oleh karena itu, diperlukan suatu sistem pendukung keputusan untuk membantu dalam menghitung hasil akhir dari penerima beasiswa tersebut. Hasil uji kelayakan perangkat lunak sistem pendukung beasiswa jenius penerima beasiswa strata 1 (S1) di Badan Amil Zakat Nasional (BAZNAS) Kabupaten Bojonegoro sebanyak 21 responden menunjukkan Uji Aspek Komunikasi 98,75 %, pada Untuk Aspek Uji Graphical User Interface - Aksesibilitas sebesar 96,6%, pada Aspek Uji Graphical User Interface - Responsiveness sebesar 97,9%, Aspek Uji Graphical User Interface - Efisiensi sebesar 96,25 %, dan untuk Aspek Uji Gruaphical User Interface – Keterpahaman 97,25%
The Influence Of Pricing Strategy And Product Strategy On Coffee Purchasing Decisions At Padang Pagun Lahat Home Coffee Business Mahendra, Oka; Eduar , Rudi; Hestin, Hestin
Journal of Management, Economic, and Accounting Vol. 5 No. 1 (2026): January
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmea.v5i1.1124

Abstract

This study aims to determine how pricing strategy and product strategy partially and simultaneously influence coffee purchasing decisions at the Rumah Padang Pagun Coffee Shop in Lahat. The sample size for this study was 60 respondents. The sampling method used was incidental sampling. The results showed a significant effect between pricing strategy and coffee purchasing decisions at the Rumah Padang Pagun Coffee Shop in Lahat. There was also a significant effect between product strategy and the competitiveness of coffee products at the Kiro Coffee Shop in Lahat. The F-test showed that pricing strategy and product strategy simultaneously influenced coffee purchasing decisions at the Rumah Padang Pagun Coffee Shop in Lahat.
Pengembangan Aplikasi Smart Coffee Roaster berbasis IoT untuk Pengendalian dan Monitoring Proses Penyangraian Kopi Aris Munandar; Oka Mahendra; Jony Winaryo Wibowo
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

The coffee roasting process plays a crucial role in determining flavor quality; therefore, a system that ensures consistency and easy replication of roasting profiles is required. This study developed a smartphone-based Smart Coffee Roaster integrated with an ESP32 microcontroller to support manual and automatic roasting control and monitoring. The system was designed to record and store roasting profiles, synchronize parameters with the ESP32 device, and display temperature and roasting stages in real time. The hardware was designed using relay modules and an ESP32 microcontroller, while the software was developed using Kodular and Arduino IDE. The system was tested using black-box methods and successfully executed all key functions, including profile selection, actuator control, and real-time visualization. The application simplified the monitoring and control of the roasting process and provided structured profile data to maintain coffee quality consistency and support further analysis based on artificial intelligence