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All Journal Jurnal IPTEK Jurnal Teknik Industri Terintegrasi (JUTIN) INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal Pengabdian Masyarakat Bangsa
Nurike Oktavia, Nurike
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Food Security Mapping in Padang City Using Geographical Information Systems (Case Study: Beef) Oktavia, Nurike; Helmi, Adlina Safitri; Ahmad, Nofan Hadi; Ramadhani, Indah Kurnia; Triha, Hadigufri
Jurnal IPTEK Vol 28, No 1 (2024)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2024.v28i1.5499

Abstract

In Indonesia, the cattle agricultural business is one of the most significant food commodities for comply nutritional needs. The variable availability of cattle supplies is a challenge that the Padang City Agriculture Service must tackle. As a result, to establish the state of food security in Padang City, food security indicators must be calculated and analyzed. Food Security Quotient (FSQ) approach was used in this study to map the logistical network and beef food security. Following that, an information system based on a Geographic Information System (GIS) was created to represent the flow of the beef supply chain in Padang City. It was discovered from direct observations beef supply chain network in Padang City comprises of a fresh beef and a frozen beef supply chain. Beef suppliers from other regions, local breeders, feed lotters, slaughterhouses, wholesalers, retail traders, hotel / supermarket /restaurant/ catering consumers, rendang processing industry consumers (MSMEs), home consumers small-scale dining, and household consumers are all involved in the fresh beef supply chain. The analysis of the level of food security in Padang City revealed that three sub-districts were in the secure state, three were in a moderate state, and five were in a vulnerable state. The developed GIS is supposed to aid decision making in Padang City on food security predictions.
Rancangan Ruang atau Kabinet Penurun Kadar Air Dengan Mempertimbangkan Suhu Ruang di UMKM Sayyid Madu Wijaya, Edo Rantou; Akli, Khairul; Ramadhani, Indah Kurnia; Zahrina, Nadhilah; Oktavia, Nurike; Jaeba, Kushisa Atta; Rishelin, Nadya
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 1 (2025): Maret
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i1.2174

Abstract

Sayyid Madu merupakan UMKM yang memproduksi madu Trigona sp. berkualitas yang berdiri pada tahun 2021. Sayyid Madu memproduksi madu Dorsata, Galo-galo dan Melifera yang dipanen langsung dari hutan yang berada di Wilayah Sumatera Barat dengan hasil panen 100-200 kg. Produk madu Sayyid Madu masih memiliki kadar air yang tinggi. Permasalahan utama yang dihadapi UMKM Sayyid Madu saat ini yaitu bagaimana memenuhi kriteria pelanggan besar yang memiliki harapan bahwa madu yang dihasilkan harus memenuhi kriteria Standar Nasional Indonesia (SNI) dan Standar Ekspor terutama untuk Madu Dorsata yang merupakan madu dengan permintaan terbanyak. Produk madu Dorsata dan madu Galo-galo masih memiliki tingkat kadar air yang tinggi untuk diterima pasar nasional dan internasional, sedangkan Madu Melifera sudah memenuhi kriteria kadar air SNI dan ekspor di ambang batas terbawah. Saat ini Sayyid Madu masih belum mampu melakukan tindakan untuk memenuhi kriteria kadar air. Untuk mengatasi permasalahan tersebut tim dosen Politeknik ATI Padang menawarkan bantuan penyelesaian permasalahan untuk menurunkan kadar air tersebut. Usulan penyelesaian permasalahan oleh tim dosen Politeknik ATI Padang yaitu dengan merancang ruang/kabinet kedap udara yang mampu menurunkan kadar air madu dengan metode dehumidifier, karena ideal untuk menjaga kualitas madu dibandingkan metode menggunakan panas. Berdasarkan hasil pengukuran kadar air, Ruang/kabinet yang dibuat mampu menurunkan kadar air hingga memenuhi standar ekspor pada rentang 17-20%.
Pengembangan Model Economic Production Quantity Mengakomodasi Continue dan Discrete Demand serta Kebijakan Rework Secara Simultan Oktavia, Nurike; Henmaidi, Henmaidi; Fithri, Prima
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 1 No. 1 (2020)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v1i1.18

Abstract

Inventory of finished goods needs to be planned and controlled regularly. Fulfilling customer demand whenever and wherever is the main purpose of the supply. This issue is related to production activities. Many companies use the Economic Production Quantity (EPQ) Model in determining the size of their lot productions. This model is able to show how to minimize total production costs by reducing inventory costs. Customer behavior at PT XYZ makes product delivery divided into 2 types. The first type, finished goods is sent continuously in small amounts called continue demand. The second type, products is sent between certain time intervals in large quantities called discrete demand. Basic EPQ Model’s parameters do not accommodate a system like this. In addition, PT XYZ requires rework for products that do not pass the quality test. Therefore, this research was developed to formulate EPQ model that can accommodate two types of demand, continue and discrete, as well as the existence of rework policy. This study tries to provide another approach in solving the derivation problem using the "Arithmetic-Geometric Mean" method. The results of this study will display a mathematical formulation to find the optimal production cycle time for PT XYZ. Numerical examples are discussed to show practical models.
Peramalan Penjualan Olein Curah di Perusahaan Pengolahan Kelapa Sawit Menggunakan Double Moving Average Oktavia, Nurike; Gustina, Alya; Luthvina, Ridha
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 2 No. 2 (2021)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v2i2.53

Abstract

Bulk olein is one of the products produced by Palm Oil Processing Company. Bulk cooking oil controls 75 percent of the production market share in Indonesia and about 77.5 percent of households in Indonesia use bulk cooking oil because the price is cheaper than packaged cooking oil. Demand for olein in the future is predicted to be continued to increase, so it is necessary to estimate future sales so that production activities become more effective and efficient. The method used in this study is the double moving average (DMA), which is one of the forecasting methods with data that has a trend. The calculation will be done by comparing the result of 3 moving, 4 moving and 5 moving. Forecasting error is calculated using mean absolute percentage error (MAPE). The calculation results show that the average MAPE from DMA with 5 moving has the smallest value. To verify these results, an analysis of the processed data was carried out, namely looking for data with the furthest distance from the linear line, namely t3 data and t7 data. The data is omitted in data processing and then the MAPE error value is recalculated. The results obtained are that DMA with 3 moving results have the smallest error, which is 11.863 percent. For this reason, the chosen forecasting calculation is a double moving average with 3 moving.
Pengelompokan Persediaan Spare parts Menggunakan Analisis FSN di PT. XYZ Amalia, Wahyuni; Pangestu, Adryan; Oktavia, Nurike
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.20227

Abstract

Spare part inventory is very important for the continuity of forklift repair and maintenance activities at PT. XYZ. Currently it is not known which spare part inventory groups are in higher demand (fast moving) compared to other spare parts. This can have an impact on determining inaccurate inventory amounts. This research aims to determine which spare part groups are fast moving, slow moving and non-moving based on turnover ratio. From the results of calculations for 45 types of spare parts, there are 23 types of goods that are fast moving, 14 types of goods are slow moving and 6 types of goods are non-moving, while the other 2 do not have an inventory turnover ratio. Based on these groupings, the Company can determine the optimal order quantity to avoid stock shortages for fast moving goods.
Analisis similarity dan korespondensi terhadap restoran cepat saji menggunakan pendekatan Multidimensional Scaling dan Correspondence Analysis Amalia, Wahyuni; Oktavia, Nurike
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.34341

Abstract

The similarity of a business can be a threat if not handled properly. One type of business with a fairly high level of similarity and competitors is fast food restaurants. This study compared 8 fast food restaurants that have similar products and services in order to see the level of similarity and variables that influence the fast food restaurant. There were 55 respondents who had filled out the questionnaire. Based on the results of the analysis using Multidimensional scaling, it can be seen that fast food restaurants have similarities viewed from the distance on the position map. Wendy has similarities with A&W, with a distance of 0.39, Hoka-hoka Bento has similarities with Yoshinoya with a distance of 0.535, KFC is closer to A&W, Burger King is closer to McD, Richeese with KFC, and McD is closer to A&W. Meanwhile, from the perceptual map, it can be seen the advantages of each restaurant such as McD is superior in the delivery service variable and KFC is superior in terms of price
Co-Authors Akli, Khairul Edo Rantou Wijaya Gustina, Alya Hadigufri Triha Helmi, Adlina Safitri Henmaidi, Henmaidi Indah Kurnia Ramadhani Jaeba, Kushisa Atta Luthvina, Ridha Nofan Hadi Ahmad Pangestu, Adryan Prima Fithri Rishelin, Nadya Wahyuni Amalia Zahrina, Nadhilah