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All Journal Psikostudia : Jurnal Psikologi JURNAL LENTERA BISNIS INVEST : Jurnal Inovasi Bisnis dan Akuntansi INFORMATIKA JURNAL AKUNTANSI DAN BISNIS Tematik Jurnal Pengabdian Kepada Masyarakat Indonesia
Purwati
Universitas Semarang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Public Health Social Sciences

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Journal : informatika

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Analisa Perancangan Sistem Informasi Inventory dengan Metode FIFO (First In First Out) pada Usaha Dagang Retail Sumaryanto; Setiyo Prihatmoko; Purwati
Informatika: Jurnal Teknik Informatika dan Multimedia Vol 2 No 1 (2022): Mei : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.5 KB) | DOI: 10.51903/informatika.v2i1.136

Abstract

Inventory Information System in a retail trading business plays a fairly important role, especially if the goods sold consist of various types and with a fairly high turnover rate. One of the problems that often arise in an inventory system is that the number and condition of goods available in the warehouse cannot be known with certainty. This can result in goods being stored in the warehouse for too long, excessive, lacking or even running out of inventory. Besides, the use of a good inventory system is expected to reduce the risk of loss or misuse of inventory, because each type of goods has been classified regularly and allows it to be checked at any time. In short, management will be able to quickly and easily find out the existence and changes in the inventory of goods in the event of a purchase and sale of goods.
Teknik Perancangan Pendukung Keputusan dengan Metode Analytical Hierarchy Process (AHP) Untuk Menentukan Bantuan Sosial Masyarakat Dampak Dari Covid 19 Sumaryanto; Purwati; Setiyo Prihatmoko
Informatika: Jurnal Teknik Informatika dan Multimedia Vol 2 No 2 (2022): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v2i2.180

Abstract

Permasalahan umum yang terjadi dalam pelaksanaan Bantuan Sosial Masyarakat yang bersumber dari Pemerintah dalam implementasinya menentukan atau memilih masyarakat penerima Bantuan Sosial Masyarakat tidak begitu tepat sasaran sesuai kriteria-kriteria penerima. Program Bantuan Sosial Masyarakat dilakukan karena adanya dampak pandemi Covid-19 yang mengharuskan Pemerintah mengalokasikan dana untuk bidang penanggulangan bencana, darurat dan mendesak untuk menangani dan menanggulangi dampak dari pandemi Covid-19 terhadap perekonomian masyarakat dalam hal ini pemerintah membuat kebijakan berbentuk Bantuan Sosial Masyarakat yang pelaksanaannya supaya tepat sasaran di masyarakat. Supaya dalam penyaluran bantuan Sosial Masyarakat tepat sasaran maka perlu adanya perancangan sistem dalam menentukan pendukung keputusan dengan metode Analytical Hierarchy Process. Kata Kunci: Bantuan Sosial Masyarakat, Pendukung Keputusan, Analytical Hierarchy Process.
PERANCANGAN MODEL INTEGRATIF KECERDASAN BUATAN PADA SISTEM INFORMASI DALAM PENGELOLAAN ASET PERUSAHAAN Sumaryanto Sumaryanto; Purwati Purwati; Setiyo Prihatmoko
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1690

Abstract

Corporate asset management is a crucial aspect in supporting operational effectiveness and business sustainability. However, conventional asset management systems often face various challenges, such as a lack of data integration, low information accuracy, and limitations in analysis and decision-making. Along with technological advancements, Artificial Intelligence (AI) offers opportunities to improve information system performance through analytical, predictive, and process automation capabilities. This research aims to design an integrative model of Artificial Intelligence in information systems for corporate asset management. The research method used is a qualitative approach, incorporating literature review and conceptual analysis of various information system models and relevant AI applications. The proposed model integrates several key components: asset data management, an AI-based analytical module, a decision support system, and a standardized inter-system integration mechanism. The results show that the designed integrative model can improve asset management efficiency through real-time monitoring, predictive maintenance, and optimized resource utilization. Furthermore, this model also supports faster and more accurate data-driven decision-making. Implementing this model is expected to help companies improve operational performance, reduce the risk of asset damage, and strengthen competitiveness in the era of digital transformation.
Co-Authors Hardani Widhiastuti Hendra Wijaya Kusumo, Willyanto Kartiko Nanang Ari Utomo, Nanang Ari Pratito, Dwi Widi Rizkiana, Citra Setiyo Prihatmoko Shinta Pratiwi Sumaryanto Teguh Ariefiantoro Titi Purbo Sari Tri Rinawati