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All Journal G-Tech : Jurnal Teknologi Terapan Jurnal Teknologi dan Manajemen Industri Terapan
Siti Rahayu
Universitas Pelita Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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Studi Kelayakan Bisnis Rental Drone Pertanian dengan Pendekatan Model Komersialisasi Goldsmith Nida An Khofiyah; Era Febriana Aqidawati; Siti Rahayu
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3219

Abstract

Bisnis drone di Indonesia sudah mulai berkembang pesat, baik drone yang digunakan untuk fotografi, pemetaan, ataupun penyemprotan.  Kajian studi kelayakan bisnis rental drone merupakan hal yang penting agar dalam pengambilan kebijakan untuk percepatan komersialisasi menjadi tepat sasaran. Tujuan penelitian adalah menilai kelayakan bisnis rental drone di Indonesia pada aspek teknis, pasar dan bisnis. Metode yang digunakan pada penelitian ini menggunakan pendekatan model komersialisasi Goldsmith. Didapatkan hasil penelitian bahwa pada aspek teknis telah dilakukan analisis regulasi penggunaan drone, proses bisnis rental drone, model bisnis yang dapat digunakan. Pada aspek pasar dilakukan analisa pemetaan kebutuhan market dan target market. Aspek bisnis dilakukan analisa kelayakan investasi dengan metode Payback Period, dan diperoleh hasil perhitungan kelayakan investasi ini dengan jangka waktu pengembalian modal selama 3 tahun 7 bulan. Maka dari studi kelayakan bisnis rental drone ini dikatakan layak secara teknis, pasar dan bisnis.
Improvement of Change Over Time of Cage Press Machine in Bearing Production at PT. XYZ Using the SMED Method Riri Nur Fadilah; Siti Rahayu; Fibi Eko Putra
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6797

Abstract

PT. XYZ is a manufacturing company with its production, namely bearings, both from small to large sizes. The growth of bearing sales interest is increasing every year, therefore PT XYZ must be able to adjust to the needs of consumers. This causes many types of bearings that must be produced by PT XYZ, this type change affects the time in the machine change over process. This research was carried out with the aim of reducing the time used for the machine change over process, especially on the chage press machine which has been seen through patchwok data. The improvements made are by using the PDCA and SMED methods, to be able to find out what factors are the cause of the long change over and also how to reduce the time in the change over process of the machine, With the implementation of SMED PT. XYZ managed to reduce the time from 1 hour 9 minutes 56 seconds to 9 minutes 1 second with a time reduction of 1 hour 55 seconds or equivalent to 87.85%. Thus, this SMED method can be used to improve engine change time to make it faster.
EVALUASI KINERJA PEMASOK DI PT XYZ DENGAN MENGGUNAKAN METODE GABUNGAN PURCHASING PORTOFOLIO MATRIX (PPM) DAN SUPPLIER POTENTIAL MATRIX (SPM) Satria Bagus Aji; Siti Rahayu; Tri Ngudi Wiyatno
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6822

Abstract

The FMCG manufacturing industry faces complex challenges in the supply chain, where supplier performance evaluation is a crucial factor in maintaining production continuity. PT XYZ currently conducts supplier evaluations in a general manner without considering specific segmentation, making it less effective in identifying strategic suppliers and managing risks. The Purchasing portfolio matrix classifies raw materials into strategic, leverage, bottleneck and non-critical groups based on supply risk and profit impact. Meanwhile, the Supplier Potential Matrix (SPM) adds the dimensions of supplier capability and willingness in innovation and collaboration. The combination of these two methods can enhance the effectiveness of supplier evaluation, support procurement strategies, and ensure more optimal business relationships. The weighting of each criterion will be carried out using the Best-Worst Method. Next, the scoring process is conducted based on 13 agreed criteria for each evaluated supplier, totaling 148 suppliers. The results of data processing will be used for segmentation using a hybrid PPM-SPM model. Recommendations are provided for selecting the appropriate supplier relationship management strategy for each supplier segment.
Analisis Peningkatan Overall Equipment Effectiveness (OEE) Mesin Surface Mount Technology (SMT) Melalui Failure Mode And Effect Analysis (FMEA) Alex Saputra; Siti Rahayu; Hasyrani Windyatri
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 2 No. 3 (2023): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.788

Abstract

Penelitian ini bertujuan untuk meningkatkan efektivitas mesin Surface Mount Technology (SMT) di PT Sharp Elektronik Indonesia melalui pendekatan Overall Equipment Effectiveness (OEE) dan Failure Mode and Effect Analysis (FMEA). Berdasarkan data operasional periode Juni–Agustus 2024, rata-rata nilai OEE tercatat sebesar 56,8%, jauh di bawah standar industri sebesar 85%. Penurunan ini terutama disebabkan oleh rendahnya nilai Availability dan Performance, yang dipicu oleh waktu henti mesin yang tinggi serta kecepatan operasi yang tidak optimal. Untuk mengidentifikasi akar penyebab dan menentukan prioritas perbaikan, metode FMEA diterapkan dengan menghitung Risk Priority Number (RPN) dari setiap mode kegagalan. Hasil analisis menunjukkan bahwa downtime mesin merupakan penyebab utama dengan nilai RPN tertinggi, diikuti oleh faktor kesalahan operator dan keterlambatan pasokan bahan baku. Berdasarkan temuan tersebut, strategi perbaikan difokuskan pada peningkatan program pemeliharaan, pelatihan operator, dan efisiensi rantai pasok. Setelah implementasi perbaikan pada Oktober–Desember 2024, nilai OEE meningkat menjadi 77%, menandakan keberhasilan intervensi yang dilakukan. Integrasi OEE dan FMEA dalam penelitian ini memberikan pendekatan sistematis dan berbasis data yang efektif dalam mendukung peningkatan kinerja operasional mesin. Penelitian ini juga berkontribusi dalam pengembangan praktik manajemen perawatan di industri manufaktur elektronik Indonesia.
Co-Authors Alex Saputra Era Febriana Aqidawati Fibi Eko Putra Hasyrani Windyatri Nida An Khofiyah Riri Nur Fadilah Satria Bagus Aji Tri Ngudi Wiyatno