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All Journal Jurnal Penelitian Sistem Informasi RESLAJ: Religion Education Social Laa Roiba Journal
Ria Risti Astanti
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences

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Kosentrasi COD dan Nitrit di Permukiman Desa Bakau Besar Laut kecamatan Sungai Pinyuh Kabupaten Mempawah Ria Risti Astanti
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 6 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i6.8613

Abstract

The settlements in RW 3 and RW 4 of Bakau Besar Laut village, Sungai Pinyuh district, covers an area adjacent to two small industries, namely a shrimp farm and copra processing with no WWTP facility, generating domestic wastes that potentially pollute local settlements and farms. This research has the purpose of identifying the COD and Nitrit contents in the settlement by testing the drainage water quality in the local settlements and farms. Grab Sampling method was used to sample the water, whereas Mann Whitney method served in statistical test. Result of analysis shows that COD and Nitrit concentration in each drainage has surpassed the quality standard specified in Government Regulation (PP) no. 82 of 2001. Based on the results of Mann whitney statistica test, it was found that the BOD, Grease and Fat content has a radius of 700 m > 1700 m (agricultural drainage) with sig value of 0.677 > 0.05; 500 m > 1500 m (inhabitants’ drainage) with sig value of 0.936 > 0.05. Recommendations include clean water treatment (PAM/drinking water company) with intake from Bakau Besar Laut river and garbage sorting based on their characteristics (e.g. organic, anorganic and toxic and hazardous), establishing WWTP (Waste Water Treatment Plant) for shrimp farms and copra processing industries as well as establishing animal waste-based Biogas processing plants as sources for fuel and compost fertilizers that can be reutilized by the people.
Analisis SWOT terhadap Pemanfaatan Data Konsumen dalam Mendukung Pengambilan Keputusan Bisnis pada UMKM di Kalimantan Barat Ria Risti Astanti
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4395

Abstract

The rapid development of digital technology has encouraged Micro, Small, and Medium Enterprises (MSMEs) to utilize consumer data as a basis for business decision-making. This study aims to analyze the role of consumer data utilization in supporting business decision-making among MSMEs in West Kalimantan using the Strengths, Weaknesses, Opportunities, and Threats (SWOT) method. The study employed a descriptive method with qualitative and quantitative approaches. The research was conducted from September to October 2025 involving 50 MSME owners representing several districts and cities in West Kalimantan. The respondents consisted of culinary businesses (40%), fashion and handicraft businesses (30%), and beauty product businesses (30%). Data were collected through observation, interviews, questionnaires, and literature studies. The results revealed that WhatsApp customer data was the most widely utilized source of consumer data (92%), followed by customer purchase data (88%), Instagram and Facebook follower data (84%), Shopee marketplace data (76%), and customer complaint data (68%). SWOT analysis indicated that MSMEs in West Kalimantan were positioned in Quadrant I (Growth Oriented Strategy), suggesting that internal strengths and external opportunities were more dominant than weaknesses and threats. Therefore, the recommended strategy is an aggressive growth strategy through optimizing data-driven digital marketing, developing products based on customer needs, and implementing a more integrated customer data management system.
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