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All Journal Imajiner: Jurnal Matematika dan Pendidikan Matematika Jurnal Teknik Industri Terintegrasi (JUTIN)
Fadhilah, Nida Nur
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Decision Sciences, Operations Research & Management Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Other

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Formulasi Strategi Bisnis Model Kemitraan Mobile Selling pada UMKM: Pendekatan Matriks Internal-External (Studi: PT Tumbuh Bersama Soyanara) Futra, Fharel Az Zihra Adhie; Afkar, Muhammad Riyadh; Harir, Jihan Azizah; Fadhilah, Nida Nur; Hasanah, Sarah Nahdiyatul; Husyairi, Khoirul Aziz
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.53442

Abstract

This study analyzes the development strategy of PT Tumbuh Bersama Soyanara, a fresh soy milk distributor operating through a mobile partnership model, using SWOT analysis integrated with IFE-EFE-IE matrices. A qualitative single case study approach was employed, involving in-depth interviews with the CEO/Founder, three-day participatory observation of five partners’ operations, and internal document analysis. The findings reveal that the company is positioned in Cell V (Hold and Maintain) of the IE Matrix (IFE score 2.34; EFE score 2.43), indicating that internal weaknesses—manual recording systems, weak FIFO enforcement causing 8–12% waste, managerial response delays, and service quality inconsistencies—have not been adequately offset by institutional strengths. In response, a three-phase strategic framework is proposed: (1) operational excellence through digital transformation (months 0–6), (2) intensive market penetration via B2B partnerships and product portfolio optimization (months 6–12), and (3) customer intelligence leveraging habit-based personalization and payday-optimized bundling (months 12–24). Digital infrastructure functions as a governance mechanism that reduces information asymmetry and agency costs, thereby transforming operational weaknesses into sustainable competitive advantages. 
Pemodelan Prediksi Suhu Rata Rata Harian dan Kelembapan Relatif di Kota Semarang Menggunakan LSTM, GRU, dan GRU-LSTM Fadhilah, Nida Nur; Kharisudin, Iqbal
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.26349

Abstract

Penelitian ini bertujuan membandingkan kinerja tiga model deep learning, yaitu Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), dan model hibrida GRU-LSTM dalam memprediksi suhu rata-rata harian dan kelembapan relatif di Kota Semarang. Data sekunder diperoleh dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) periode 1 September 2021 hingga 2 Oktober 2025. Setelah dilakukan pra-pemrosesan dan normalisasi, data dibagi menjadi 80% untuk pelatihan dan 20% untuk pengujian. Optimasi hiperparameter dilakukan dengan Bayesian Optimization menggunakan pustaka Optuna. Hasil evaluasi berdasarkan metrik MSE, RMSE, MAE, dan MAPE menunjukkan bahwa ketiga model mampu menangkap pola non-linier dan ketergantungan jangka panjang dalam data dengan baik. Model LSTM dan GRU-LSTM memberikan kinerja paling kompetitif pada prediksi suhu, sementara untuk kelembapan, perbedaan kinerja antarmodel relatif kecil. Prediksi 30 hari ke depan yang dihasilkan konsisten dengan pola musiman di Kota Semarang. Hasil penelitian ini dapat menjadi dasar pertimbangan dalam pengembangan sistem peringatan dini dan strategi adaptasi perubahan iklim berbasis data.
Co-Authors Afkar, Muhammad Riyadh Futra, Fharel Az Zihra Adhie Harir, Jihan Azizah Hasanah, Sarah Nahdiyatul Husyairi, Khoirul Aziz Iqbal Kharisudin