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THE ANALYSIS OF THE RELATIONSHIP BETWEEN NUTRITION KNOWLEDGE AND OBESITY THROUGH THE MEDIATION OF EATING HABIT Prawira, Oqke
Emerging Markets : Business and Management Studies Journal Vol 3 No 2 (2016)
Publisher : Academic Research Centre Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ijembm.v3i2.34

Abstract

ANALYSIS
IMPLEMENTASI GOOD BUSINESS PRACTICES UKM DODOL DI KECAMATAN TENJO, KABUPATEN BOGOR Iswariyadi, Arief; Annas, Mohammad; Prawira, Oqke; Armielia, Adestya Ayu; Alfian, Erwin
Jurnal Sinergitas PKM & CSR Vol 8, No 1 (2024): APRIL
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v8i1.8091

Abstract

Sebagaimana pengusaha UKM (Usaha Kecil Menengah) pada umumnya, pengusaha UKM Dodol juga menghadapi banyak masalah, antara lain: praktek produksi yang belum memenuhi standar higienes, belum adanya pengelolaan keuangan yang baik dan praktek pemasaran yang masih tradisional. Disamping itu pengusaha UKM Dodol pada umumnya juga  belum memikirkan tentang branding.  Pengembangan branding ini akan bisa menarik konsumen baru dan mempertahankan loyalitas konsumen yang sudah ada. Berdasarkan permasalahan yang dihadapi oleh UKM, tujuan dari program pengabdian kepada masyarakat ini mencakup: 1) Sosialisasi dan pendampingan implementasi manajemen produksi, keuangan dan pemasaran produk dan procurement; 2) Penciptaan branding dengan pembuatan logo dan packaging yang menarik. Pengabdian Kepada Masyarakat ini yang menjadi sasaran adalah pengusaha UKM Dodol di Kecamatan Tenjo, Kabupaten Bogor dengan jumlah yang berpartisipasi sebanyak 10 UKM.  Para pengusaha UKM Dodol telah mengadopsi proses pengolahan yang sesuai standar kebersihan, telah mulai melakukan pembukuan keuangan, melakukan pemasaran dengan memanfaatkan teknologi informasi untuk menunjang pemasaran produknya dan procurement bahan baku.  Disamping itu pengusaha UKM juga telah membuat logo dan packaging yang menarik untuk dodol yang diproduksinya. 
Sistem Identifikasi Titik Kritis Halal Menggunakan Algoritma Forward Chaining Hin, Alexander Moya; Kusnadi, Adhi; Overbeek, Marlinda Vasty; Prawira, Oqke; Khaeruzzaman, Yaman; Prasetya, Syarief Gerald
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 8, No 1 (2023): Januari 2023
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v8i1.1285

Abstract

Halal products are obligatory to be used by people who are Muslim. When viewed in terms of the number of the Muslim population in the world and Indonesia, halal products have very potential economic opportunities. However, halal products have the risk of becoming non-halal if the accompanying process and storage do not follow halal rules. Therefore, it is necessary to identify the critical halal point, the point where the potential for such change occurs. So far, identification is made manually, of course there will be opportunities for identification errors to happen and it will take a relatively long time. To overcome these problems, identification can use a computer-based system. Forward chaining is an algorithm that is suitable for identifying halal points, because in SJH LPPOM MUI there is a decision tree for identifying halal critical points which is carried out in the same forward sequence as the forward chaining algorithm process flow. The development of a halal critical point identification system is carried out using the Software Development Life Cycle V-model method, the PHP programming language and the MySQL Database Management System. The system was successfully tested using Whitebox testing, including unit testing, integration testing, and overall system testing. Then testing using Blackbox testing techniques by comparing the results of identifying critical points using the system with the results of identifying critical points manually producing the same results. User satisfaction testing was also carried out using the End User Computing Satisfaction method and obtained an average satisfaction score of 86.53%Keywords – halal products, critical halal point, AI, forward chaining