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All Journal CEMARA Jurnal Teknologi Agro-Industri
Fina Pradika Putri
Politeknik Negeri Tanah Laut
Agriculture, Biological Sciences & Forestry

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ANALISIS PENGENDALIAN KUALITAS PALM KERNEL MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) DI PABRIK KELAPA SAWIT KALIMANTAN SELATAN Fina Pradika Putri; Nurgiati Nurgiati; Elivi Sofi Salafiah; Fatimah Fatimah
JURNAL PERTANIAN CEMARA Vol 23 No 1 (2026): JURNAL PERTANIAN CEMARA (CENDEKIAWAN MADURA)
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/fp.v23i1.5169

Abstract

Palm kernel (inti sawit) merupakan produk samping pengolahan Crude Palm Oil (CPO) yang memiliki nilai ekonomi tinggi. Kualitas palm kernel ditentukan oleh parameter kadar air, kadar asam lemak bebas, dan kadar kotoran. Penelitian ini bertujuan menganalisis kadar kotoran palm kernel serta mengidentifikasi faktor-faktor penyebab tingginya kadar kotoran menggunakan metode Statistical Quality Control (SQC). Penelitian dilaksanakan di salah satu pabrik kelapa sawit di Kalimantan Selatan selama enam bulan (September 2024 - Februari 2025). Metode SQC yang digunakan meliputi check sheet untuk pengumpulan data, histogram untuk visualisasi distribusi data, dan diagram fishbone untuk identifikasi sebab-akibat. Hasil penelitian menunjukkan bahwa rata-rata kadar kotoran palm kernel selama enam bulan adalah 6,8%, melebihi standar SNI 01-0002-1987 yang menetapkan batas maksimal 6,0%. Kadar kotoran tertinggi terjadi pada bulan Oktober 2024 (7,0%) dan terendah pada bulan November 2024 (6,6%). Diagram fishbone mengidentifikasi empat faktor penyebab utama, yaitu faktor manusia (kurang teliti dalam sortasi, ketidakdisiplinan pengecekan alat, ketidaktepatan setting alat), faktor mesin (efisiensi ripple mill rendah, hisapan blower LTDS terlalu kecil), faktor material (jenis TBS dura, larutan kalsium jenuh), dan faktor metode (SOP tidak dilaksanakan sesuai ketentuan). Rekomendasi perbaikan meliputi pemantauan rutin ripple mill, pengaturan damper LTDS yang optimal, pengurasan larutan kalsium secara berkala, serta peningkatan disiplin operator dalam mengikuti SOP.
Design and Development Of an Iot-Based Water Quality Monitoring System In The Palm Oil Industry At PT. PKIS Nina Hairiyah; Alya Rahmaida; Risna Dwi Latifah; Imron Musthofa; Jihan Pradesi; Fina Pradika Putri
Jurnal Teknologi Agro-Industri Vol. 12 No. 2 (2025): Jurnal Teknologi Agro-Industri
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jtai.v12i2.228

Abstract

The availability of clean water is a vital element in the operational processes of palm oil mills, serving both processing and domestic needs. PT. PKIS operates a Water Treatment Plant (WTP) to treat raw water from reservoirs into clean water that meets quality standards. However, the existing manual monitoring system for water quality poses a risk of delays in detecting fluctuations in critical parameters such as pH and turbidity. This study aims to design and implement an Internet of Things (IoT)-based water quality monitoring system capable of real-time monitoring of pH and turbidity parameters. The system design was conducted over five months within the industrial environment of PT. PKIS, utilizing pH and turbidity sensors integrated with an ESP32 microcontroller and the Blynk application platform for data visualization. The testing results indicate that the pH sensor demonstrates a satisfactory accuracy level with a margin of error of 2,20%, while the turbidity sensor exhibits suboptimal performance with a margin of error of 1,30%. The implementation of this system is expected to enhance the effectiveness of water quality monitoring, expedite decision-making processes, and ensure that the treated water meets the established standards, thereby supporting the sustainability of palm oil industry operations.
Design and Development Of an Iot-Based Water Quality Monitoring System In The Palm Oil Industry At PT. PKIS Nina Hairiyah; Alya Rahmaida; Risna Dwi Latifah; Imron Musthofa; Jihan Pradesi; Fina Pradika Putri
Jurnal Teknologi Agro-Industri Vol. 12 No. 2 (2025): Jurnal Teknologi Agro-Industri
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jtai.v12i2.228

Abstract

The availability of clean water is a vital element in the operational processes of palm oil mills, serving both processing and domestic needs. PT. PKIS operates a Water Treatment Plant (WTP) to treat raw water from reservoirs into clean water that meets quality standards. However, the existing manual monitoring system for water quality poses a risk of delays in detecting fluctuations in critical parameters such as pH and turbidity. This study aims to design and implement an Internet of Things (IoT)-based water quality monitoring system capable of real-time monitoring of pH and turbidity parameters. The system design was conducted over five months within the industrial environment of PT. PKIS, utilizing pH and turbidity sensors integrated with an ESP32 microcontroller and the Blynk application platform for data visualization. The testing results indicate that the pH sensor demonstrates a satisfactory accuracy level with a margin of error of 2,20%, while the turbidity sensor exhibits suboptimal performance with a margin of error of 1,30%. The implementation of this system is expected to enhance the effectiveness of water quality monitoring, expedite decision-making processes, and ensure that the treated water meets the established standards, thereby supporting the sustainability of palm oil industry operations.
Co-Authors Alya Rahmaida Elivi Sofi Salafiah Fatimah, Fatimah Imron Musthofa Jihan Pradesi Nurgiati Nurgiati Risna Dwi Latifah