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All Journal Jurnal Teknologi Industri Pertanian J@TI (TEKNIK INDUSTRI) Prosiding Semnastek Jurnal Sistem dan Manajemen Industri Jurnal Teknik Komputer AMIK BSI Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri International Journal of Supply Chain Management INAQUE: Journal of Industrial & Quality Engineering Journal of Integrated Agribusiness Brahmana : Jurnal Penerapan Kecerdasan Buatan SELODANG MAYANG Jurnal Agribisnis Jurnal Karya Abdi MAHATANI: Jurnal Agribisnis (Agribusiness and Agricultural Economics Journal) Jurnal Media Pengabdian Kepada Masyarakat (JM-PKM) Kartika: Jurnal Studi Keislaman Indonesian Journal of Advanced Research (IJAR) International Journal of Economics, Commerce, and Management JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Siti Wardah, Siti
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Aplikasi Sistem Inferensi Fuzzy Metode Mamdani Untuk Memprediksi Jumlah Produksi Pakaian Pada Industri Kreatif Fesyen Putri, Okta Refyana; Sudarwati, Wiwik; Wardah, Siti; Marfuah, Umi; Purnamasari, Ariya
Prosiding Semnastek PROSIDING SEMNASTEK 2024
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Industri Pakaian merupakan industri yang memiliki karakteristik volatilitas tinggi dansulit untuk diprediksi. Banyak industri pakaian yang sering mengalami kelebihan stokpakaian jadi yang pada akhirnya merugi karena dijual dengan harga diskon. Artikel inimembahas aplikasi Sistem Inferensi Fuzzy metode Mamdani dengan tujuan untukmemprediksi jumlah produksi pakaian dalam industri pakaian. Metode inferensi fuzzyMamdani digunakan untuk menangani kondisi industri pakaian yang volatilitasnyatinggi, permintaan yang tidak stabil dan kompleksitas dalam proses prediksi produksipakaian. Studi ini menguraikan langkah-langkah implementasi sistem inferensi fuzzyMamdani, diantaranya adalah pembentukan himpunan fuzzy untuk variabel input danoutput, aplikasi fungsi implikasi, komposisi aturan inferensi fuzzy dan defuzzyfikasi.Penerapan Fuzzy metode mamdani ini menggunakan bantuan software MATLAB.Data produksi pakaian yang diperoleh dari industri pakaian digunakan untuk melatihdan menguji model fuzzy. Hasil penelitian ini menunjukkan bahwa sistem inferensifuzzy metode Mamdani mampu memberikan prediksi jumlah produksi pakaian dengantingkat akurasi 6,22% yang berarti memuaskan. Implikasi penelitian ini menunjukkanbahwa penerapan sistem inferensi fuzzy metode Mamdani dapat menjadi alat yangberguna dalam mendukung pengambilan keputusan terkait produksi pakaian di industrikreatif fesyenKata kunci: Inferensi Fuzzy , Metode Mamdani, Prediksi, Produksi Pakaian
Integration models of demand forecasting and inventory control for coconut sugar using the ARIMA and EOQ modification methods Wardah, Siti; Nurhasanah, Nunung; Sudarwati, Wiwik
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.6500

Abstract

Inventory control is critical because the inability to overcome inventory problems causes unpreparedness to meet consumer demand. MSMEs Bekawan Agro Coconut Sugar, independently around 35% -70%, cannot meet consumers' demand for coconut sugar, so an inventory control model is needed. Inventory control models must integrate with demand forecasting as an inventory control input. This study aims to integrate the demand fore­casting model with the inventory control model. The method used for demand forecasting is ARIMA. The inventory control model uses a modi­fied EOQ hybrid method because coconut sugar products have a shelf life; they also use coconut sap as raw material, which must be processed to prevent fermentation. The research results show that demand forecasting for one year ahead is a total of 10,310.82 Kilograms with an economic lot size of 120 Kilograms and a reorder point when the inventory position is 30 Kilograms. Daily production of 30 kilograms requires 210 litres of coconut sap/per day. The amount of sap needed requires 105 coconut trees / per day. Arrival time of coconut sugar at the storage warehouse every five days. The resulting model can be a solution for sustainable MSMEs.
Application of Prediction Models Based on Moving Average, Exponential Smoothing and Trend Analysis on Indonesian Palm Oil Exports Baidawi, Taufik; Effendi, Muhammad Ridwan; Kuswara, Heri; Wardah, Siti; Falgenti, Kursehi
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 11, No 1 (2025): Periode Januari 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v11i1.25194

Abstract

Palm oil is a strategic commodity for Indonesia, significantly contributing to state revenue and foreign exchange. In 2022, its export value reached USD 33.7 billion. Accurate forecasting of palm oil exports is crucial due to fluctuating market conditions influenced by global demand, prices, and government policies. However, existing studies on forecasting Indonesian palm oil exports are limited, with most research focusing on other agricultural commodities. This study applies Moving Average, Exponential Smoothing, and Trend Analysis methods to forecast palm oil exports and determine the most accurate method. The results show that the Trend Analysis method yields the lowest Mean Absolute Deviation (MAD = 18505.67) and Mean Squared Error (MSE = 436747200), indicating superior accuracy compared to the other methods. The findings suggest that Trend Analysis can provide stakeholders government, companies, and farmers with valuable insights for strategic decision-making. This research contributes to the development of more precise forecasting models, supporting Indonesia's palm oil industry in maintaining its global competitiveness.
Quality Control Model In The Sustainable Coconut Sugar Supply Chain (Case Study: SMEs In Indragiri Hilir District, Riau) Wardah, Siti; Wulandari, Feni; Amin, Muhammad
JTI: Jurnal Teknik Industri Vol 10, No 1 (2024): JUNI 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v10i1.29642

Abstract

Ant-sugar SMEs are developing in the Indragiri Hilir Regency. This industry uses the sap of hybrid coconut trees to make sugar. To maintain sustainability, SMEs require assistance with quality from upstream to downstream. Based on this, the research attempts to ascertain the mechanism of the sugar supply chain, identify the elements that lead to flaws, and suggest ways to enhance the chain's quality. Identify supply chain conditions using the Vorst method and identify the root causes of problems using the FTA method and quality improvement proposals based on evaluating potential failure levels using the FMEA method. The research results show that the supply chain members are Farmers, SMEs and Final Consumers. The factors causing defects in coconut sap water and ant sugar are human and environmental. The proposed improvement at the farmer level is that the cracked wood preservative must be measured correctly before taking coconut sap water. In contrast, at the SME level, workers pay attention to the ongoing production process and carry out periodic checks when boiling the sap water so that the maturity level is perfect and stir optimally so as not to cause failure. In the crystallization of ant sugar.
Analisis Ekonomi Hijau Produk Domestik Regional Bruto (PDRB) Sub Sektor Pertanian Tanaman Pangan di Provinsi Kalimantan Selatan Wardah, Siti; Nur, Muhammad Anshar
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023)
Publisher : PPJP ULM

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Abstract

The main objectives of this study are the value of depletion, degradation, depreciation, and green GRDP of the food crop sub-sector in South Kalimantan Province. Data processing is done mathematically with green GRDP as the approach. Judging from the type of data, this research is a quantitative and descriptive study when viewed from the level of explanation. This study uses secondary data from the Central Statistics Agency (BPS) publications, the Department of Food Crops and Horticulture, South Kalimantan Province, and Bank Indonesia. The results showed that the value of Green GRDP in the Food Crops Sub-Sector in 2018 was Rp. 3.4 trillion, in 2019, it was Rp. 3.5 trillion, and in 2020, it was Rp. 3.7 trillion. The calculation results show that the value of the Green GRDP of the Food Crops Sub-Sector is smaller than the conventional GRDP because the depletion value of food plant resources and the value of soil degradation are quite high.
Production and Income Analysis of Salak Sugar Farming in District Pinrang Regency Sahlan, Sahlan; Wardah, Siti; Aisha, Suci Nur
Indonesian Journal of Advanced Research Vol. 4 No. 9 (2025): September 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

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Abstract

This study aims to determine the factors that influence the farming of sugar snake fruit (Zalacca Var. Amboinensis) and income of sugar snake fruit (Zalacca Var. Amboinensis) in Katomporang Village, Duampanua District, Pinrang Regency. The types of data collected are primary data and secondary data. The results showed that the production factors that influenced the salak sugar farming in Katomporang Village, the real effect of land area was tcount (2.955) < t0.05, meaning that the larger the land area, the higher the production yield. The real influence of labor was tcount ( -1.272) > t0.05, meaning that if the number of workers increases, it will also affect production results. The real effect of seedlings is tcount (-1.746) > t0.05, meaning that the more expensive the price of seeds, the less ability of farmers to meet the needs of salak seeds. and the real effect of fertilizer tcount (-0.070) > t0.05 means that the more expensive the price of fertilizer, the less ability of farmers to meet the needs of their zalacca seeds, so that salak production will decrease. What has a real effect on the production of salak farming is the land area of ​​1.3862 (X1). Revenue from the production of sugar salak farming is Rp. 11,709,673/0.0032. So the average salak farming income earned by farmers is Rp. 10,530,304/0.0032, this has a great opportunity in the development of salak farming.
Implementation of Artificial Neural Networks For Predicting Percentage Growth Goat Meat Production In Indonesia Yulianto, Kiki; Wardah, Siti; Baidawi, Taufik
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.274

Abstract

When people are aware of the fulfillment of nutritious food, the demand for foods that are high in protein increases, such as milk, eggs, and meat. This study discusses the prediction of the percentage growth of goat meat production in Indonesia using an artificial neural network using the backpropagation method. This research data was taken from goat production data in 2016-2020. The data is taken from data from the Central Statistics Agency of Indonesia. The process uses 6 variables, namely 2015 (X1) data, 2016(X2) data, 2017(X3) data, 2018(X4) data as input data, and 2019(T) data as target data. While the testing process uses 6 variables, namely data for 2016(X1), data for 2017(X2), data for 2018(X3), data for 2019(X4) as input data, and data for 2020(T) as target data. The results of this study are predictions of the number of goat meat production data for the following year and the percentage growth of Indonesian goat meat production.
INTEGRATION OF SCOR AND FUZZY AHP FOR LOCATION SELECTION OF EDIBLE WHITE COPRA AGRO-INDUSTRY Wardah, Siti; Marimin, Marimin; Sudarwati, Wiwik; Marfuah, Umi
Jurnal Teknologi Industri Pertanian Vol. 33 No. 3 (2023): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2023.33.3.216

Abstract

The selection of agro-industry location is essential in establishing, growing, and relocating agro-industrial systems for all forms of product development. In this regard, white copra has displayed a great economic potential due to export demand. To response this challenge, Indragiri Hilir Regency in Riau Province might become the most promising area since the location is lack of agroindustrial activity. Such condition leads to a excessive supply of coconut, which is in turn, causing the low price. This work aimed determine the best location for developing agroindustry for edible white copra based on multiple criteria. According to the findings, this research successfully created a new integration SCOR with Fuzzy AHP based on a multiple-criteria approach. At the first and second level, each option has equal rate of importance for each attribute and metric, while at the third level, corresponding to the highest importance, is the adaptability for increased shipping, procurement cost, days for coconut inventory, days for edible white copra stock. The fourth level, also corresponding to the highest importance, includes standard conformity, transportation facility, and the percentage of orders with the correct content. Based on the analysis, the locations showing the highest to the lowest importance were Tembilahan Hulu (0.194), Tempuling (0.152), Batang Tuaka (0.160), Kempas (0.118), Kuala Indragiri (0.100), Tembilahan (0.100), Teluk Belengkong (0.087), Pelangiran (0.080), and Enok (0.072). This research is expected to increase the development of edible white copra agroindustry in the Regency of Indragiri Hilir. Keywords: integration, SCOR, FUZZY AHP, multicriteria, edible white copra
STRATEGI PEMASARAN SAYURAN HIDROPONIK: A MARKETING STRATEGY FOR HYDROPONIC VEGETABLES B, Sumarni; Wardah, Siti; Mudatsir, Rasdiana
Journal of Integrated Agribusiness Vol 6 No 1 (2024): Journal of Integrated Agribusiness
Publisher : Jurusan Agribisnis, Fakultas Pertanian, Perikanan dan Kelautan Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jia.v6i1.5183

Abstract

This study intends to design and determine a marketing strategy for hydroponic vegetable at CV. Ichira Hydro Farm, Bialo Hydroponic House, and Pallangga Hydroponic House. This study employs quantitative methods. Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), and SWOT analysis are three methods of data analysis used to develop and decide on marketing strategy for hydroponic vegetable. The study's findings indicate that seven techniques are employed to sell hydroponically grown crops, including : (1) improve product quality so that consumer trust and interest increases, (2) improve the quality of service for consumers in marketing activities both in buying and selling transactions and in terms of payments, (3) enhance the quality of packaging by employing eco-friendly packaging that is branded and features product logos to establish a perception in the minds of customers, (4)expanding the product marketing network by optimizing the use of social media as a means of promotion and marketing, (5) increase marketing collaboration with similar companies, (6) Selling prices are competitive and in accordance with the quality of the vegetable products produced, and (7) increasing the volume of availability hydroponic vegetable products. Keywords: strategy, marketing, hydroponic vegetables
Strategi pengembangan usahatani cabai rawit di desa banyuanyara kecamatan sanrobone kabupaten takalar Wati, Salma; Wardah, Siti
MAHATANI: Jurnal Agribisnis (Agribusiness and Agricultural Economics Journal) Vol 6 No 2 (2023): Mahatani : Jurnal Agribisnis (Agribusiness and Agricultural Economics Journal)
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/mja.v6i2.2582

Abstract

Salah satu tanaman pokok yang banyak ditanam petani yaitu cabai rawit. Namun hasil produksi tanaman cabai rawit menurun. Karena disebabkan oleh harga cabai rawit selalu berubah-ubah dan akses pasar terbatas, petani hanya menjual cabai rawit ke pedagang pengumpul. Tujuan dari penelitian ini adalah Menyusun faktor internal dan eksternal usahatani cabai rawit serta menganalisis strategi pengembangan usahatani cabai rawit. Metode purposive (sengaja) digunakan sebagai metode dalam penelitian ini. Penelitian ini menggunakan teknik pengumpulan data primer dan data sekunder serta teknik pengumpulan data berupa observasi, wawancara dan dokumentasi. Analisis data dengan analisis SWOT. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi strategi pengembangan usahatani cabai rawit meliputi faktor kekuatan yaitu pengalaman petani dalam membudidayakan cabai rawit, faktor kelemahannya yaitu kurangnya informasi pasar. Sedangkan faktor peluang meliputi Faktor eksternal meliputi adanya kontribusi pemerintah daerah dalam pembangunan pertanian dan faktor ancaman adalah adanya serangan hama/penyakit pada tanaman yang seharusnya siap panen. Strategi pengembangan usahatani cabai rawit berada pada I keempat yang mendukung strategi agresif, memanfaatkan kekuatan dan peluang untuk meningkatkan pertumbuhan perkembangan usahatani cabai rawit.
Co-Authors Aisha, Suci Nur Azhar, Jamalul B, Sumarni Bambang Sasmita Adi Putra Basri, Asan Daniel Happy Putra Dewi Mahrani Rangkuty Effendi, Muhammad Ridwan Erliza Hambali Gasali M, M Hafsah Juni Batubara Heri Kuswara Iskandar Iskandar Khairul Ihwan, Khairul Kiki Yulianto Kurniawan, Kharisma Kursehi Falgenti Marimin Marimin Moh. Yani Mudatsir, Rasdiana Muh. Rasyid Ridha Muhammad Amin Muhammad Amin Muhammad Yunus Nunung Nurhasanah Nur, Hakimah Nur, Muhammad Anshar Nurul Huda Purnamasari, Ariya Putri, Okta Refyana Rahmat Hidayat Rinanda Patra Mei Tanjung Roberta Zulfhi Surya Safitri, Amelina Sahlan Sahlan SAKINAH, PUTRI Saputra, Muhammad Ilham Sari, nurlela Sri Wahyuni Sudeska, Endy Sultan Asis Munandar Tama, Annisa Taufik Baidawi, Taufik Umi Marfuah Wati, Salma Wiwik Sudarwati Wulandari, Feni Yoanda, Deby Yusriwarti Zulrahmadi