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UPAYA PEMENUHAN PROGRAM SDGs KETERLIBATAN WANITA DESA LEBO DENGAN PROGRAM DEWATA (DESA WANITA TANGGUH) Tukiman, Tukiman; Arhamza, Muh Satria; Amelia, Avril Firda; Irmaya, Nindi; Janna, Putri Marifatul; Azizah, Riza Zanuar Nur; Christy, Nethania; Marhanani, Listiya; Andriani, Silvia Desy
KARYA: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): KARYA: Jurnal Pengabdian Kepada Masyarakat
Publisher : FKIP Universitas Samawa

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Abstract

Kegiatan ini bertujuan untuk mengkaji dan mengevaluasi efektivitas keterlibatan wanita dalam pembangunan desa melalui beberapa kegiatan, yaitu Pos Gizi dan Sosialisasi Pemanfaatan Minyak Jelantah menjadi Lilin. Program DEWATA (Desa Wanita Tangguh) dirancang sebagai upaya pemberdayaan wanita di Desa Lebo untuk mendukung pencapaian Sustainable Development Goals (SDGs), khususnya pada poin-poin yang berkaitan dengan kelestarian lingkungan dan peningkatan kesejahteraan desa. Metodologi penelitian ini menggunakan pendekatan deskriptif dengan teknik pengumpulan data melalui observasi partisipatif dan studi dokumentasi. Informan dalam penelitian ini adalah wanita desa yang terlibat aktif dalam program DEWATA (Desa Wanita Tangguh) serta pihak-pihak terkait lainnya seperti pemerintah desa. Hasil penelitian menunjukkan bahwa Program Dewata memiliki dampak positif yang signifikan dalam meningkatkan keterlibatan dan peran wanita di Desa Lebo. Program ini berhasil meningkatkan kesadaran akan pentingnya partisipasi wanita dalam meningkatkan keterampilan dan pengetahuan mereka melalui pelatihan-pelatihan yang disediakan, serta mendorong kemandirian ekonomi wanita desa melalui berbagai kegiatan produktif. Dengan demikian, penelitian ini memberikan kontribusi penting bagi upaya pemenuhan program SDGs di tingkat lokal melalui pemberdayaan wanita, dan dapat menjadi model bagi desa-desa lain dalam mengembangkan inisiatif serupa.
Penerapan Lean Six Sigma untuk Meningkatkan Efisiensi Proses Inbound dan Outbound di Gudang PT XYZ Amelia, Avril Firda; Moch. Tutuk Safirin
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The operational efficiency of the warehouse is a crucial factor in supporting the smooth running of the supply chain, especially in the inbound and outbound processes. The objective of this research is to analyse the root cause of the problem and reduce waste in the form of waiting time, which has a significant impact on the performance of PT XYZ's warehouse. This research applies the Lean Six Sigma approach, with tools in the form of Value Stream Mapping (VSM) to map the process flow, as well as the implementation of 5S as a proposed improvement to improve process order and work efficiency. The results showed that the high waiting time was caused by a lack of staff training, limited transport equipment, a continued reliance on manual processes and an inefficient warehouse layout. Suggested solutions included sorting goods by frequency of use, organising the warehouse layout, cleaning the warehouse regularly and developing clear SOPs. Implementation of the improvement recommendations resulted in a 51.38% increase in process cycle efficiency. This research shows that the Lean Six Sigma approach is effective in improving the efficiency of the warehouse process in a sustainable way.
Association Rule Analysis for Sales Strategy Optimization with Apriori Algorithm Method Amelia, Avril Firda; Rochmoeljati, Rochmoeljati
SISTEMASI Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5288

Abstract

PT XYZ is a manufacturing company that produces various types of industrial valves. Despite having entered the export market, the company continues to experience monthly fluctuations in order volumes due to the suboptimal use of data in formulating effective sales strategies. This study aims to identify association rules using the Apriori algorithm as the basis for sales recommendations. The analysis was conducted on transaction data from January 2024 to February 2025, using a minimum support threshold of 20% and a minimum confidence threshold of 65%, determined through exploratory analysis. The results yielded 14 first-level (L1) rules, 21 second-level (L2) rules, and 8 third-level (L3) rules, indicating associations between products that can inform cross-selling schemes and product sampling strategies. These patterns were used to design sales strategies, such as cross-selling and product bundling, to increase the average value per transaction, as well as product sampling to introduce less popular items. GV and CV products showed the strongest association, with a support value of 43%, a confidence level of 77%, and a lift value of 1.5—indicating a strong potential for increased sales when these products are offered together. These personalized strategy recommendations are expected to improve customer loyalty, expand market reach, and drive sustainable growth in the company’s sales volume.