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Factors Influencing Readiness towards Halal Logistics among Food and Beverages Industry in the Era of E-Commerce in Indonesia Muttaqin, Prafajar Suksessanno; Setyawan, Erlangga Bayu; Novitasari, Nia
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2055

Abstract

Based on Global Islamic Economy Indicator 2019/2020 report, Indonesia is in the fourth position globally as a country that uses a Sharia economic system. Seeing Indonesia's opportunities, it should be able to act as a regional and global halal hub. Efforts to encourage the halal industry through strengthening the halal value chain are one of the strategies to encourage Indonesia to become a global halal hub player. This study utilizes the structural equation modeling to examine relationships among key factors affecting readiness towards halal logistics in the food and beverages industry in Indonesia. 13 key factors are confirmed with measurement-model results, including (1) Cleanliness, (2) Safety, (3) Islamic Dietary Law, (4) Physical Segregation, (5) Material Handlings, (6) Storage and Transport, (7) Packaging and Labelling, (8) Ethical Practices, (9) Training and Personnel, (10) Resource Availability, (11) Innovative Capability, (12) Marketing Performance, (13) Financial Performance. The population in this study is in the food and beverage industries, especially in Semarang, Yogyakarta, Malang, and Surabaya. Cluster random sampling was used in this research with as many as 150 sample respondents. A survey with an online questionnaire was conducted in this research. The structural-model results reveal directions of relationships among key factors. Resource availability, training and personnel, and innovative capability are the most important factor in halal supply chain readiness. Further research can focus on other industrial sectors, such as fashion and tourism, as stated in the 2019-2024 Indonesian Sharia Economic Masterplan
Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking Diah Damayanti, Dida; Novitasari, Nia; Bayu Setyawan, Erlangga; Suksessanno Muttaqin, Prafajar
JOIV : International Journal on Informatics Visualization Vol 6, No 2 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2.1006

Abstract

Abstract— The development and use of technological innovations have changed people's behavior from an industrial society to an information society. It can be seen in the increase in people's consumption patterns from trading through physical stores (offline) to trading through electronic systems, often referred to as e-commerce. Logistics services are distribution actors in the downstream line which are tasked with delivering products from the fulfillment center from e-commerce to the end customer. The uncertainty of the number of requests is the biggest challenge for logistics service players. The growth of e-commerce has also led to an increase in sales volume in e-commerce which has given rise to a new generation of warehouses that are specifically tailored to the special needs of online retailers who directly serve the demands of end-customers in the business-to-consumer (B2C) segment. Traditional warehousing systems cannot handle orders with the characteristics of many transactions but smaller sizes. In addition, warehouses that handle e-commerce are also required to have a fast process in the warehouse because shipments must be made on the same day. In this study, the author aims to perform calculations to find the optimal order picking time in the warehouse, so orders in e-commerce can be processed faster by comparing the picking process time using ordinary Single Picker Routing Problem (SPRP) and combined with the concept of wave picking using Genetic Algorithm (GA). Based on a theoretical study in this paper, the combination between SPRP and wave picking can reduce 42.28% picking time. 
IMPLEMENTASI KEBIJAKAN PENGISIAN ULANG YANG OPTIMAL PADA GONDOLA MENGGUNAKAN METODE NON-LINEAR INTEGER PROGRAMMING PADA SUPERMARKET XYZ Prafajar Suksessanno Muttaqin; Erlangga Bayu Setyawan; Nia Novitasari; Aulia Dihas Zahira; Yoara Damar Puspasari; Dhea Cantika Febriyanti; Denisse Michelle Gunawan
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 1 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v6i1.7903

Abstract

Supermarket XYZ menghadapi tantangan serius yang mempengaruhi profitabilitasnya. Kegiatan abdimas ini bertujuan untuk menganalisis faktor-faktor utama yang menyebabkan penurunan profit dalam supermarket. Faktor-faktor tersebut meliputi stock out (kehabisan stok), biaya display yang tinggi, investasi tinggi dalam inventory (persediaan), biaya pemesanan yang tinggi, dan biaya penyimpanan yang tinggi. Penelitian ini dilakukan melalui analisis data historis dari Supermarket XYZ, termasuk catatan tentang tingkat stok yang tidak mencukupi, biaya pengeluaran untuk display produk, investasi dalam persediaan, biaya pemesanan, dan biaya penyimpanan. Hasil analisis data menunjukkan bahwa stock out secara konsisten mengakibatkan hilangnya penjualan dan pelanggan yang kecewa. Biaya display yang tinggi, meskipun memberikan tampilan produk yang menarik, telah meningkatkan biaya operasional supermarket tanpa pencapaian yang seimbang dalam peningkatan penjualan. Investasi yang tinggi dalam persediaan menyebabkan dana yang terikat dalam stok yang tidak produktif, sementara biaya pemesanan yang tinggi dan biaya penyimpanan yang tinggi membebani profitabilitas dengan cara yang signifikan. Berdasarkan permasalahan yang dimiliki oleh Supermarket XYZ maka dilakukan pemaksimalan penggunaan gondola. Kegiatan abdimas ini dilakukan untuk memberikan usulan pengisiian ulang gondola dengan menggunakan metode Nonlinear Integer Programming yang bertujuan untuk memaksimalkan total net profit pada Supermarket XYZ. Adapun hasil penerapan metode usulan adalah total produk di display dan total produk yang ditampilkan pada showroom.
ANALISIS PERBAIKAN PROSES BISNIS PENGELOLAAN BANTUAN LOGISTIK KEBENCANAAN PADA BADAN PENANGGULANGAN BENCANA DAERAH (BPBD) PROVINSI JAWA BARAT Femi Yulianti; Putu Giri Artha Kusuma; Hendra Hendrawan; Usep Supdana; Nia Novitasari; Nadhif Althafu Rutama; Muh Alfarezhi Irwan; Roberto Sunjaya
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8499

Abstract

Tujuan kajian pada Pengabdian Kepada Masyarakat (PKM) ini adalah melakukan analisis perbaikan proses bisnis pengelolaan bantuan logistik kebencanaan pada Badan Penanggulangan Bencana Daerah Provinsi Jawa Barat (BPBD Jabar). Analisis perbaikan proses bisnis dilakukan melalui tiga tahap. Tahap pertama adalah identifikasi proses bisnis saat ini dengan pendekatan Business Process Mapping. Tahap kedua adalah perbaikan proses bisnis menggunakan pendekatan Business Process Improvement. Tahap terakhir adalah penetapan peran para pihak yang menjalankan proses bisnis menggunakan pendekatan RACI Matrix. Kajian difokuskan pada proses bisnis penerimaan, penyimpanan, dan distribusi bantuan logistik kebencanaan dari BPBD Jabar ke BPBD kabupaten/ Kota di Provinsi Jawa Barat. Kajian menghasilkan peta proses bisnis baku, dan penetapan peran dan tanggung jawab yang jelas bagi para pihak yang terlibat dalam pengelolaan bantuan logistik kebencanaan. Hasil kajian selanjutnya menjadi pedoman pengembangan sistem informasi pengelolaan bantuan logistik kebencanaan pada BPBD Jabar.