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All Journal Jurnal Teknologi Journal Industrial Servicess Jurnal SITECH : Sistem Informasi dan Teknologi Journal of Industial Engineering and Technology Jurnal Teknik Informatika dan Teknologi Informasi
Sayyidah Maulidatul Afraah
Fakultas Teknologi Industri, Universitas Islam Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Perancangan Sistem Pendukung Keputusan untuk Pengendalian Kualitas Produk pada Industri Bumbu Didin Dwi Novianto; Sayyidah Maulidatul Afraah
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5554

Abstract

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the 95% confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support System (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The system is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.
Multi-Criteria Decision Making for Sustainable Materials of Textile SMEs in Indonesia Sayyidah Maulidatul Afraah; Dwi Adi Purnama; Arif Hidayat; Diyah Dwi Nugraheni
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.35534

Abstract

The increasing global emphasis on sustainability has pushed the traditional textile industry, including batik SMEs (Small and Medium Enterprises), to adopt environmentally responsible practices, particularly in the selection of raw materials. This study aims to identify and analyze the key criteria for selecting sustainable raw materials, both fabric and dye in the batik industry and to determine the best alternatives using the Multi-Criteria Decision Making, especially Analytic Hierarchy Process (AHP) method. This research established five main criteria: environmental impact, economic aspects, social factors, product quality, and production-technology compatibility. This research also established 14 sub-criteria based on main criteria. This reseach collected data from experts and batik SME owners through pairwise comparison questionnaires and analyzed using AHP. The results indicate that product quality holds the highest priority, and economic and environmental aspects as the second priority. Based on fabric options, the most preferred material is tencel/lyocell, due to its superior comfort, dye absorption, and eco-friendly production process. Based on dyes options, the most suitable alternative is recycled plant-based extracts, offering both environmental benefits and good color performance. The combination of Tencel/Lyocell and recycled plant-based dye presents a sustainable raw material strategy that supports environmentally responsible batik production and enhances the competitive value of SMEs in the textile sector.
Forecasting the Export Volume of Indonesia’s Cut Flowers to The Southeast Asian Market Using the SARIMA Model Zelania In Haryanto; Sayyidah Maulidatul Afraah; Lorenta In Haryanto; Khalisa Aurelia Listyafaiza
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.101-112

Abstract

Indonesia exports many cut flowers to Southeast Asia, mainly to Thailand, Singapore, and Malaysia. However, export amounts fluctuate significantly due to the seasons, weather, and local customs, making it difficult for both producers and decision-makers to predict trends. This study predicts Indonesia’s cut flower exports using the SARIMA method, which helps identify repeating patterns in monthly export data. We used export numbers from April 2018 to August 2024, analyzed with Python, and split the data into a training set (80 percent) and a test set (20 percent). We chose the model’s settings based on patterns found in the data, with the best setup picked using a method called grid search, which aims for the lowest AIC value. The top model was SARIMA(1,0,1)×(2,0,2,12), with an AIC of 876.08. Measures of accuracy showed that SARIMA predicted better than ARIMA(0,1,1), with a MAPE of 0.30 and a MAE of 13.31. These results show SARIMA can effectively handle seasonal changes and make export predictions more reliable. This helps make better plans and policies for flower exports, and can strengthen Indonesia’s position in the market Keywords: Cut flower export, SARIMA, time series forecasting, ARIMA
Analisis Pengaruh Harga, Produk dan Kualitas Pelayanan Terhadap Kepuasan Pelanggan Pada Toko Kerajinan X Rafi Mukhlis Abdul Azis; Xylo Ganfio Ardhi Praditiyana; Reva Ayu Permatasari; Elya Dwi Arsyita; Ghozia Rizqi Bunga Cahyani; Sayyidah Maulidatul Afraah
Journal of Industrial Engineering and Technology Vol. 6 No. 1 (2025): Desember 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengkaji pengaruh variabel harga, kualitas produk, dan kualitas pelayanan terhadap tingkat kepuasan pelanggan pada UMKM X, sebuah toko kerajinan populer di Yogyakarta. Studi ini menggunakan pendekatan kuantitatif melalui metode survei dengan teknik purposive sampling. Total 101 responden dilibatkan dalam penelitian, dengan mayoritas berjenis kelamin perempuan, berusia 17–24 tahun, berdomisili di luar DIY (wisatawan), serta memiliki minat utama pada produk aksesori seperti kalung, gelang, dan cincin. Pengumpulan data dilakukan menggunakan instrumen kuesioner berbasis skala Likert, kemudian dianalisis menggunakan regresi linier berganda. Hasil penelitian mengindikasikan bahwa harga, kualitas produk, dan kualitas pelayanan memiliki pengaruh positif dan signifikan terhadap kepuasan pelanggan, di mana kualitas pelayanan memberikan kontribusi terbesar (β = 0,400), diikuti oleh harga (β = 0,389) dan kualitas produk (β = 0,215). Penilaian kuesioner menunjukkan seluruh indikator berada pada kategori baik (skor 3,8–4,2), meskipun indikator terkait kecepatan tanggapan terhadap keluhan memperoleh nilai terendah. Berdasarkan temuan tersebut, rekomendasi yang diajukan mencakup peningkatan responsivitas dalam menangani keluhan, penguatan daya saing harga melalui strategi promosi dan bundling produk, serta pengembangan variasi desain yang sesuai tren dengan nilai estetika yang tinggi. Implikasi praktis dari hasil penelitian ini menekankan pentingnya strategi terpadu bagi UMKM sektor aksesori untuk memperkuat kepuasan dan loyalitas pelanggan, khususnya di kalangan wisatawan perempuan muda.
Analisis Loyalitas Pelanggan UMKM Ayam Nusantara Berbasis Regresi Linear dan Kluster dengan Python Sayyidah Maulidatul Afraah; Masayu Nafisa Sinanding Ndaru; Rajab Bullah Anggara Nasution; Natasya Dyah Anggraini; Muhamad Faurel Keisya Zubair; Didin Dwi Novianto
Jurnal SITECH : Sistem Informasi dan Teknologi Vol. 8 No. 2 (2025): JURNAL SITECH VOLUME 8 NO 2 TAHUN 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v8i2.16046

Abstract

Penelitian ini menganalisis pengaruh kepuasan pelanggan (X1) dan kepercayaan (X2) terhadap loyalitas pelanggan (Y) di UMKM Ayam Nusantara, dengan tujuan merumuskan rekomendasi strategis untuk retensi. Menyadari bahwa loyalitas, yang didorong oleh kepuasan dan kepercayaan, sangat penting dalam sektor kuliner yang kompetitif, penelitian kuantitatif ini menggunakan kuesioner yang disebarkan kepada 104 responden. Data dianalisis menggunakan regresi sederhana dan berganda dengan Python (numpy, pandas, sklearn). Hasil regresi berganda menghasilkan persamaan: Loyalitas = 0,246 + 0,752 (Kepuasan) + 0,115 (Kepercayaan), dengan nilai R² sebesar 0,566. Ini menunjukkan bahwa kepuasan dan kepercayaan secara kolektif menjelaskan 56,6% variasi dalam loyalitas pelanggan. Kepuasan ditemukan memiliki pengaruh yang lebih dominan daripada kepercayaan. Analisis korelasi mendukung hal ini, menunjukkan hubungan yang kuat antara kepuasan dan loyalitas (r=0,75), sementara kepercayaan memiliki hubungan yang cukup kuat (r=0,67).  Hasil kuesioner juga menyoroti area spesifik yang memerlukan perbaikan: kebersihan, konsistensi kualitas, niat beli ulang, dan preferensi merek. Studi ini memberikan strategi praktis bagi UMKM Ayam Nusantara dan memperkaya literatur mengenai perilaku konsumen di sektor UMKM kuliner.
Co-Authors Arif Hidayat Didin Dwi Novianto Dwi Adi Purnama Elya Dwi Arsyita Ghozia Rizqi Bunga Cahyani Khalisa Aurelia Listyafaiza Lorenta In Haryanto Masayu Nafisa Sinanding Ndaru Muhamad Faurel Keisya Zubair Natasya Dyah Anggraini Nugraheni, Diyah Dwi Rafi Mukhlis Abdul Azis Rajab Bullah Anggara Nasution Reva Ayu Permatasari Xylo Ganfio Ardhi Praditiyana Zelania In Haryanto