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All Journal Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Penelitian Pendidikan IPA (JPPIPA) Mattawang: Jurnal Pengabdian Masyarakat Agrokompleks Lutjanus Jurnal Abdimas Bina Bangsa Parameter: Journal of Statistics JURNAL TEKNIK INDUSTRI Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Indonesia Sosial Teknologi International Journal of Business and Quality Research International Journal of Technology and Education Research International Journal of Education, Vocational and Social Science International Journal of Economics, Business and Innovation Research Asian Journal of Management, Entrepreneurship and Social Science Sasambo: Jurnal Abdimas (Journal of Community Service)
Andi Ridwan Makkulawu
Politeknik Pertanian Negeri Pangkep
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Analisis Peramalan Persediaan Bahan Baku dan Penentuan Stok Penyangga (Buffer Stock) Udang Vaname (Littopenaeus vannamei) Ilham Ahmad; Marhama Maulah; Andi Ridwan Makkulawu; Imran Muhtar
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.2810

Abstract

This study examines the analysis of raw material inventory forecasting and buffer stock of vaname shrimp at one of the fishery companies in Makassar Industrial Estate (PT Bogatama Marinusa Makassar). The analysis method used to determine the supply of raw materials needed by the company is the ARIMA Box-Jenkins method. This method is used to forecast raw material inventory on time series data. Determination of buffer stock is done using standard deviation and policy factors. Vaname shrimp (Littopenaeus vannamei) raw material data was obtained from 2020 to 2022 (156 weeks). The results showed that the highest amount of raw material inventory occurred in October week 147 in 2022, amounting to 152,792 tons, while the lowest amount of raw material inventory occurred in May week 122 in 2022, amounting to 13,102 tons. The best vaname shrimp raw material inventory model is the ARIMA (1,1,1) model which has a Sum Square Error (SSE) value of 1.70250, Mean Square Error (MSE) value of 0.0112007. This model is used to forecast raw material inventory for the next 48 weeks. The forecasting results show that there will be a decrease in week 1 to week 6 and a relative increase in raw materials in week 7 to week 48 with a MAPE value of 4.54%. The amount of buffer stock that must be owned by the company is 37.311 tons.
Analysis of Octopus Raw Material Inventory (Octopus sp) on the Production Process (Case Study: PT Kelola Mina Laut Makassar) Ilham Ahmad; Andi Ridwan Makkulawu
International Journal of Economics, Business and Innovation Research Vol. 2 No. 03 (2023): May, International Journal of Economics, Business and Innovation Research
Publisher : Cita konsultindo

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Abstract

Inventory is a company's wealth that has an important role in business operations, so companies need to carry out proactive management, meaning that companies must be able to anticipate conditions and challenges that exist in inventory management to achieve the ultimate goal, namely to minimize the total costs that must be incurred by the company for handling inventory. The production process is the process of processing raw materials into finished products or ready-to-use products. In a production process it is said to be efficient and effective if during the production process it does not produce many losses. The purpose of this study was to analyze the supply of octopus (Octopus sp) raw materials for the production process at PT Kelola Mina Laut Makassar. The results obtained by using ARIMA modeling, obtained the right model to describe the data analysis of octopus (Octopus Sp) raw material inventory at PT Kelola Mina Laut Makassar, namely the ARIMA model (0,1,1) with an MSE of 0.01927 and a MAPE of 16 .89%. ARIMA model (0,1,1), with the conclusion that raw material data for octopus at PT Kelola Mina Laut Makassar with data per week over a period of two years for forecasting the next 48 weeks has decreased.
Analysis of the Business Model Canvas (BMC) on the Development of Processed Citrus Products Andi Ridwan Makkulawu; Ilham Ahmad; Imran Muhctar
International Journal of Economics, Business and Innovation Research Vol. 2 No. 03 (2023): May, International Journal of Economics, Business and Innovation Research
Publisher : Cita konsultindo

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Abstract

Oranges are a type of fruit with a fresh taste and vitamin C content, so it is great to consume in fresh form. Some processed citrus fruit products on the market and in minimarkets are still not in demand by consumers, this is because some products marketed are not through market research. Another problem is that the business strategies implemented by some processed orange-based products do not keep up with the times. Therefore, it is necessary to do a Business Model Canvas (BMC) to analyze business strategy. The purpose of this study is to obtain a model for developing processed citrus fruit products with market research methods and produce a business strategy for processed citrus fruit product with Business Model Canvas. The methods used are Business Model Canvas (BMC) and SWOT analysis. The results of this study show that most marketable and and preferred orange-based product of consumers are health drink products with C1000 mg vitamins and business position on the cartesius diagram iin quadrant I with IFAS (2.12) and EFAS (3.50) values, so the focus of the strategy used is the SO strategy developed in the map of 9 blocks of retionale. Keywords: bmc, processed citrus products, market research, swot. Keywords: BMC, IFAS, EAS, Citrus product, Market research, SWOT
Development strategy of pamelo orange processed agro-industry in Pangkep District with SWOT and AHP methods Andi Ridwan Makkulawu; Soemarno Soemarno; Imam Santoso; Siti Asmaul Mustaniroh
Asian Journal of Management, Entrepreneurship and Social Science Vol. 3 No. 02 (2023): May, Asian Journal of Management, Entrepreneurship and Social Science
Publisher : Cita Konsultindo Research Center

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Abstract

The aim of this research is to determine the development strategy for agro-industry of processed pomelo citrus products in Pangkep district. The method used is a combination of SWOT and AHP methods. SWOT is used to get the development strategy, while AHP is used to get product ranking. The results obtained from the swot analysis on the decision system to determine the strategy with coordinate points located at (-0.27; 0.11) (S-T) and while in the AHP method, the sub criteria are the results obtained in the decision system to determine product priorities feasible to be developed, namely Candy Oranges with a priority weight of 0.705. The conclusion of this study is that the combination of the SWOT and AHP methods can be used in determining the pomelo citrus agro-industry development policy in Pangkep district.
Improvement Strategy of Seaweed Farmer Community for Increasing Capabilities in the Dry-seaweed Supply Chain in Takalar District, Indonesia Imran Muhtar; Andi Ridwan Makkulawu
International Journal of Education, Vocational and Social Science Vol. 2 No. 02 (2023): May, International Journal of Education, vocational and Social Science (IJEVSS
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v2i02.300

Abstract

The common problems of seaweed farmers are caused by low human capital, farmer's performance and supply chain capabilities, resulting in a low bargaining position in the dry-seaweed farmer's supply chain business. This study aims to identify and formulate strategies to increase farmer capabilities in the supply chain from the perspective of human capital, farmer's performance and supply chain management using a fish-bone and AHP approach. The research was conducted by direct observation and interviews with respondents from stakeholders. The research results show that most influencing factor is the supply chain managemen (70.5%) with the most influencing sub factor, post-harvest (63.7%). The second order factor is human capital (21,9%) with the dominant sub-factor is skills (44%). The third order factor is farmer's performance (7.46%) with the dominant sub-factor is process innovation (29.8%). The results of the respondents' decisions on alternative solutions to farmers' capabilities in the supply chain are: Improvement Training Program (46.3%), Implementation of Policies and Programs (26.6%), Improving Farmer's Competence and Management (16,6%), and Changing the Farmer's Work-Ethic (10,5%). These results can be used as a reference for government policies in public decision making.
Peningkatan Produksi Karang Hias Sistem Inventory untuk Pengembangan Desa Wisata Bahari di Pulau Karanrang, Pangkep, Sulawesi Selatan Paharuddin Paharuddin; Mauli Kasmi; Sulkifli Sulkifli; Irawan Alham; Andi Ridwan Makkulawu; Ardiansyah Ardiansyah
Sasambo: Jurnal Abdimas (Journal of Community Service) Vol. 6 No. 1 (2024): February
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/sasambo.v6i1.1762

Abstract

Program Penerapan Iptek Pengembangan Kewilayahan (PIPK) ini bertujuan untuk meningkatkan produksi karang hias melalui penerapan sistem inventori dalam rangka pengembangan Desa Wisata Bahari di Pulau Karanrang, Pangkep, Sulawesi Selatan. Potensi terumbu karang yang strategis menjadi fokus utama untuk dikembangkan melalui budidaya karang hias. Program PIPK ini dilaksanakan dengan melibatkan dua kelompok usaha kecil, UKM DEWIKAR dan UKM Rezky Bahari. Program ini juga mencakup pendampingan dalam pengadaan sumber bibit karang, teknik produksi, dan pemeliharaan berkelanjutan. Hasil Pre Test yang diberikan kepada mitra menunjukkan bahwa sebelumnya, hanya 9 dari 15 orang (60%) yang memiliki pemahaman yang umum tentang pemeliharaan karang hias pasca panen. Kemudian setelah proses pendampingan meningkat sebanyak 14 dari 15 orang (93%), terutama dalam hal legalitas saat memperoleh indukan berasal dari alam (F0) dan proses seleksi indukan berkualitas sesuai standar ekspor yang selanjutnya menjadi anakan generasi pertama (F1). Program PIPK ini mendukung konservasi lingkungan, pertumbuhan ekonomi yang berkelanjutan, serta industri pariwisata bahari. Improving Ornamental Coral's Production by Inventory System for Development of Maritime Tourism Village in Karanrang Island, Pangkep, South Sulawesi This regional development science and technology program (PIPK) aims to increase the production of ornamental corals through the application of an inventory system in the context of developing a Maritime Tourism Village on Karanrang Island, Pangkep, South Sulawesi. The strategic potential of coral reefs is the main focus to be developed through ornamental coral cultivation. This PIPK program was implemented by involving two small business groups, namely DEWIKAR UKM and Rezky Bahari UKM. The program also includes assistance in procuring coral seed sources, production techniques, and sustainable maintenance. The results of the Pre Test given to partners showed that previously only 9 out of 15 people (60%) had a general understanding of post-harvest maintenance of ornamental corals. Then after the mentoring process, it increased to 14 out of 15 people (93%), especially in terms of legality when obtaining broodstock from nature (F0) and the process of selecting quality broodstock according to export standards which subsequently became first generation (F1) pups. This PIPK program supports environmental conservation, sustainable economic growth, and the marine tourism industry.
Product Development In “Monity Jaya Bersama” Smes Using Quality Function Development (QFD) Method Makkulawu, Andi Ridwan
International Journal of Technology and Education Research Vol. 1 No. 01 (2023): January - March : International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v1i01.279

Abstract

South Sulawesi Province has a relatively large number of SMEs, one of which is the Monity Jaya Bersama UKM engaged in Beverage products which have the potential to develop their products. The method used in this study is the Quality Function Development (QFD) method. The purpose of this research is to get the voice of the customer, find out the attributes that need to be improved in order to increase sales and get priority on technical response actions. By using the QFD method, the next process is a House of Quality (HOQ) to describe the relationship between consumer needs and technical response. For the overall analysis using the HOQ, 5 priority technical responses were obtained, namely ensuring the taste of drinks according to standards, increasing package sizes, determining packaging designs, quality and safety of raw materials and product innovation. So the attribute that has the highest value and needs to be improved is "guarantees the taste of the drink according to the standard." With a value of "56.22" with this result, the UKM monity jaya together to make this attribute even more enhanced.
The Characteristics Of Physico-Chemical Quality And The Sensory Evaluation Of Kesambi Jam (Schleichera Oleosa, Merr) Rahmawati Saleh; Syahriati, Syahriati; Nur Fitriani UA; Imran Muhtar; Andi Ridwan Makkulawu
International Journal of Technology and Education Research Vol. 1 No. 02 (2023): April - June, International Journal of Technology and Education Research(IJETE
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v1i02.304

Abstract

Kesambi is one of the fruit plantations in Indonesia that almost extinct. This fruit has similar texture, colour, and sweet-sour taste with longan. However, there is still limited research on the ripe Kesambi in processed food products as the main ingredient of jam in order to obtain higher economic value. This research aims to examine the sensory evaluation and characterize the quality of kesambi jam with treatment cooking duration and sugar addition. The research was conducted at the Quality Management Laboratory, Pangkep State Agricultural Polytechnic and at the Nutrition Laboratory, Faculty of Animal Husbandry, Hasanuddin University. The duration of cooking conducted in 3 levels: 20 minutes, 25 minutes and 30 minutes; and the addition of sugar also with 3 levels of concentration: 20%, 25% and 30%. While testing the quality characteristics of kesambi jam included physical (viscosity), chemical (moisture content, total soluble solid, and vitamin C,) and organoleptic tests (color, flavour and taste). The results of the characterization showed that the viscosity of kesambi jam ranged from 68.91- 76.15 cP. The moisture content of kesambi jam decreases with increasing cooking time and sugar concentration. Total soluble solids range from 63.3 – 71.65 °brix. The average content of vitamin C. ranges from 16.74 – 18.25 mg / 100 g of ingredients. The panelists' acceptance of the color, flavour and taste of kesambi jam, on average, response with a favorable score range of 5.31 to 6.1. Based on the organoleptic test, the best treatment of this research was on the additional sugar of 30% with a cooking duration of 30 minutes.
APPLICATION OF THE ARIMA METHOD IN FORECASTING THE PRICE RED CAYENNE PEPPER IN MAKASSAR CITY Arisandi, Arwini; Gaffar, Ismail; Makkulawu, Andi Ridwan
Parameter: Journal of Statistics Vol. 4 No. 1 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i1.17120

Abstract

Red chili is one of the commodities with very tall cost changes. The cost variance of red chili can be caused by a huge amount of supply and request. The higher the amount of supply, the lower the cost, and the lower the amount of supply, the higher the cost. This study aims to implement the ARIMA method in forecasting red cayenne pepper prices in Makassar City. Data analysis to forecast red cayenne pepper prices used the ARIMA method with the results show that the price range of chili is from IDR 13,000 to IDR 80,000, with a mean value of IDR 38,218. The model with the minimum SSE and MSE value is ARIMA(1,1,1), so this model be used in time series data modeling for forecasting. The results of forecasting using the best model obtained a MAPE value of 15.90%, which is in the range of 10-20%, so it can be concluded that the ability of the ARIMA(1,1,1) model in forecasting the price of red cayenne pepper includes the good category.
Analysis of Product Development in SMEs “Monity Jaya Bersama” with The Analytical Hierarchy Process (AHP) Method Andi Ridwan Makkulawu; Ilham Ahmad; Imran Muchtar; Widyiastuti Widyiastuti
International Journal of Business and Quality Research Vol. 1 No. 01 (2023): January - March, International Journal of Business and Quality Research
Publisher : Citakonsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijbqr.v1i01.274

Abstract

The purpose of this research is to obtain a decision for the priority of the product to be developed SMEs with the AHP method. The method used in this study in determining the appropriate product to be developed for the products of SMEs Monity Jaya Bersama is the Analytical Hierarchy Process (AHP). AHP is used to determine the weight of the 4 criteria, namely taste, price, quality and packaging. Meanwhile, alternative product rankings from UKM are original flavor, mocha flavor and extra spicy flavor. Respondents in the AHP method are determined based on the criteria of expertise and involvement in product development activities, from the results of data processing the weights generated from each criterion are Taste 0.30%, Price 0.10%, Quality 0.40% and packaging 0.19%. The conclusion of this study is quality is the first rank following taste, price and quality.
Co-Authors Akmal Abdullah Andryanto A Ardiansyah Ardiansyah Arif Fuddin Usman Arif Fuddin Usman Arwini Arisandi Asriany Fitrania Nabilia Milandhani Supriatna Gaffar, Ismail Gusni Sushanti Hadiratul Kudsiah Ilham Ahmad Ilham Ahmad Ilham Ahmad Ilham Ahmad Ilham Ilham Imam Santoso Imran Muchtar Imran Muhctar Imran Muhtar Imran Muhtar Imran Muhtar Irawan Alham Ismail Gaffar Karma Karma Marhama Maulah Mauli Kasmi Muhammad Irhan Latif Mulia Mita Nur Fitriani UA Nurhana Febrianti Paharuddin Paharuddin Rahmawati Saleh RR. Ella Evrita Hestiandari Siti Asmaul Mustaniroh Soemarno Soemarno Sriwati Malle Supriatna, Fitrania Nabilia Milandhani Syahriati Syahriati, Syahriati Syamsul Marlin Amir, Syamsul Marlin Widyiastuti Widyiastuti