Article Per Year (5 Year)
p-Index From 2021 - 2026
1.683
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Ecosystem INTEK: Jurnal Penelitian Journal of Information Systems and Informatics Jurnal Teknologi Elekterika EJOIN : Jurnal Pengabdian Masyarakat Journal of Informatics and Computer Engineering Research
Utomo, Muhammad Nur Yasir
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Ilmiah Ecosystem

 1 
Gamifikasi Aplikasi Kuliner Berbasis Web Sebagai Strategi E-Marketing Produk Bahan Pangan Nur, Rini; Utomo, Muhammad Nur Yasir; Fansab, Nur Ayu Farahgta
Jurnal Ilmiah Ecosystem Vol. 23 No. 1 (2023): ECOSYSTEM Vol. 23 No 1, Januari - April Tahun 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/eco.v23i1.2132

Abstract

Aplikasi kuliner yang berisi ribuan resep masakan memiliki peluang untuk pengembangan stategi e-marketing. Tidak sedikit penyaji resep masakan secara eksplisit menuliskan bahan yang digunakan dengan merek produk yang hanya menguntungkan perusahaan terkait. Penyebutan ini, secara tidak langsung membuat penyaji resep merekomendasikan produk tersebut kepada para pembaca resep. Akan tetapi, penyaji resep tidak mendapatkan feedback apapun dari perusahaan. Penelitian ini bertujuan untuk mengimplementasikan aplikasi kuliner berbasis web yang di dalamnya menerapkan konsep gamifikasi guna memaksimalkan e-marketing dan sosial bisnis. Jenis penelitian yang digunakan adalah penelitian pengembangan, sedangkan data dianalisis secara deskriptif kuantitatif. Alur gamifikasi dimodelkan dalam Graph Database karena unsur-unsur terkait memiliki keterhubungan data satu sama lain yang sangat kuat. Selain memaksimalkan stategi e-marketing melalui aplikasi kuliner, user yang terlibat di dalamnya pun akan mendapatkan benefit dari penyebutan merek bahan pangan tersebut melalui konsep bisnis sosial. Berdasarkan hasil pengujian menggunakan metode blackbox testing, disimpulkan bahwa aplikasi ini berjalan sesuai fungsi dari setiap fitur berdasarkan kondisi masukan. Hasil uji coba melalui kuesioner dengan total 45 responden dimana kinerja sistem menunjukkan nilai 99,98%, pengaruh gamifikasi dalam sistem untuk user menunjukkan nilai 97.7% dan kepuasan responden terhadap user interface menunjukan  nilai 91.1%. Culinary applications that contain thousands of recipes have opportunities for the development of e-marketing strategies. Not a few recipe presenters explicitly write down the ingredients used with product brands that only benefit the related company. This mention indirectly makes the recipe presenter recommend the product to the recipe readers. However, the recipe presenter did not receive any feedback from the company. This study aims to implement web-based culinary applications in which the concept of gamification is applied to maximize e-marketing and social business. The type of research used is development research, while the data is analyzed descriptively quantitatively. The gamification flow is modeled in the Graph Database because related elements have very strong data connectivity with each other. In addition to maximizing the e-marketing strategy through culinary applications, users who are involved in it will also benefit from mentioning the food brand through the concept of social business. Based on the test results using the blackbox testing method, it is concluded that this application runs according to the function of each feature based on input conditions. The test results through a questionnaire with a total of 45 respondents where the performance of the system shows a value of 99.98%, the effect of gamification in the system for users shows a value of 97.7% and respondents' satisfaction with the user interface shows a value of 91.1%.
Penerapan Metode Profile Matching untuk Seleksi Penerima Bantuan Usaha Mikro, Kecil dan Menengah pada Dinas Kopurindag Kabupaten Maros Rahman, Abdul; Utomo, Muhammad Nur Yasir; Yusri, Iin Karmila
Jurnal Ilmiah Ecosystem Vol. 24 No. 1 (2024): Ecosystem Vol. 24 No 1, Januari - April Tahun 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/eco.v24i1.3927

Abstract

Pemerintah Kabupaten Maros memberikan bantuan Usaha Mikro, Kecil dan Menengah (UMKM) berupa dana dan pelatihan UMKM kepada pelaku UMKM yang berasal dari Kabupaten Maros. Dalam proses penerimaan bantuan UMKM tersebut masih banyak kendala yang dihadapi oleh petugas UMKM seperti proses seleksi masih membutuhkan waktu lama sehingga sering terjadi keterlambatan penerimaan bantuan UMKM. Selain itu, terdapat juga masalah dalam melakukan seleksi penerima bantuan UMKM, petugas bantuan UMKM masih melakukanya secara konvensional dan belum adanya standar untuk menghitung dalam melakukan proses seleksi dan harus menilai berdasarkan kriteria yang telah ada. Penelitian ini mengajukan solusi seleksi Penerima Bantuan UMKM Pada Dinas Kopurindag Kabupaten Maros menggunakan algoritma Profile Matching. Dalam penerapan algoritma Profile Matching bekerja berdasarkan kriteria yang telah ditetapkan dengan memberikan hasil berupa perangkingan terhadap data pemohon bantuan UMKM. Adapun kriteria yang digunakan dalam penerimaan bantuan UMKM Pemerintah Kabupaten Maros aspek usaha UMKM yaitu: Jumlah Tenaga Kerja, Modal Awal, Lama Usaha, Omset, dan aspek prinsip 5C yaitu Character, Capity, Capital, Collateral, Conditions. Berdasarkan pengujian yang telah dilakukan, solusi yang diajukan berhasil meranking 5 dari 20 UMKM untuk mendapatkan bantuan UMKM. The Maros Regency Government provides Micro small and Medium Enterprises (MSME) assistance in the form of funds and MSME training to MSME actors from Maros Regency. In the process of receiving MSME assistance, there are still many obstacles faced by MSME officers, such as the selection process still takes a long time, so there are often delays in receiving MSME assistance. Apart from that, there are also problems in selecting recipients of MSME aid, MSME aid officers still do it conventionally and there are no standards for calculating when carrying out the selection process and have to assess based on existing criteria. This research proposes a solution for selection of MSME Assistance Recipients at the Maros Regency Kopurindag Service using the Profile Matching algorithm. In implementing the Profile Matching algorithm, it works based on predetermined criteria by providing results in the form of ranking data on applicants for MSME assistance. The criteria used in receiving MSME assistance from the Maros Regency Government for the MSME business aspects are: Number of Workers, Initial Capital, Length of Business, Turnover, and aspects of the 5C principles, namely Character, Capity, Capital, Collateral, Conditions. Based on the tests that have been carried out, the proposed solution succeeded in ranking 5 out of 20 MSMEs to receive MSME assistance.
Co-Authors Abdul Rahman Al Imran, Andi Yusdar Anggun Winursito BASTIAN, ALVIAN Fansab, Nur Ayu Farahgta Indrabulan, Tantri Khartika, Widya Mochammad Imron Awalludin Muh. Fajri Raharjo Nuzul1, Andi Muhammad Ramadhani, Ainun Zulkiah Rini Nur, Rini Syam, Muh. Fadhil TUNGADI, EDDY Violita, Fajrin Yusri, Iin Karmila