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All Journal Bumi Lestari Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Jurnal Ilmu Lingkungan Jurnal Keteknikan Pertanian Jurnal Harpodon Borneo Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Penelitian Hutan Tanaman Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) agriTECH Jurnal Teknologi Mineral dan Batubara Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Segara Jurnal Sosial Ekonomi Pekerjaan Umum Jurnal Teknologi Mineral dan Batubara
Setyo Pertiwi
Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Engineering And Technology, IPB University
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Materials Science & Nanotechnology

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The Effect of Milking Time and Post-Harvest Handling on the Quality of Fresh Milk in People Livestock Fitriananda, Putri; Pertiwi, Setyo; Arief, Irma Isnafia
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1243-1255

Abstract

Milk composition is essential in determining the quality of milk produced by farmers to meet the SNI 3141.1:2011. This study aimed to analyze and assess the physical, chemical, and biological quality of fresh milk from crossbred dairy cows at different milking times and harvest-postharvest handling. The experimental was designed using 2×2 Factorial Complete Randomized design with six repetitions. The independent variables in this study were milking time, including morning (P1), and afternoon (P2). Handling methods included conventional (V1), and modern (V2). Biplot analysis, and Multi-Criteria Decision-Making (MCDM) using the Analytic Hierarchy Process (AHP) method was performed. Milking time had a significant (p<0.05) on specific gravity, pH, TS, fat content, TSNF, protein, lactose, TPC, and S. aureus, which produced the best value at P1, except fat content. Harvest-postharvest handling had a significant (p<0.05) on pH, TPC, S. aureus, and coliforms, where V2 produced the best values compared to V1. Modern harvest-postharvest handling can reduce the TPC of fresh milk by 32.73%, S. aureus by 43.33%, and coliforms by 40.97% compared to that of conventional methods. Biplot analysis showed proximity between TPC, S. aureus and coliform. AHP optimization showed that morning milking time and modern handling methods are the most optimal combinations for producing best quality of fresh milk.   Keywords: Fresh milk, Harvest-postharvest handling, Milking time, Quality.
Optimizing Coffee Flavor Through Roasting and Manual Brewing Using Chemical and Sensory Approach: English Sukmawati, Elya; Pertiwi, Setyo; Hasbullah, Rokhani
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.402-417

Abstract

The global popularity of coffee has led to growing attention on how processing and brewing techniques influence its sensory attributes. This study analyzed the chemical content of coffee and assessed the combination of roasting and manual brewing methods on coffee flavor. The coffee types used were Arabica coffee and Robusta coffee. The roasts used were light, medium, and dark roast with AeroPress, Siphon, and V60 manual brewing methods. The experiment was arranged in a factorial arrangement within a Randomized Complete Block Design (RCBD), where coffee varieties served as blocks, and the treatment combinations of roasting and brewing methods were randomly assigned within each block. Data analysis includes two-way analysis of variance, biplot analysis, and the compromise programming method. The results showed that the selection of roast level and brewing method had a significant influence on the coffee's chemical analysis and sensory profile. Light roasting and complex flavors were more acceptable than dark roasting, which tends to be heavy. Based on the panelists' preference analysis using the compromise programming method, RLS (Robusta-Light roast-Siphon) emerged as the optimal choice, indicating that this combination balances all coffee taste criteria. The combinations ALV (Arabica-Light roast-V60), ALA (Arabica-Light roast-Aeropress), and AMA (Arabica-Medium roast-Aeropress) which tends to similar and provide a balanced, complex flavor profile, including aroma, acidity, and high overall quality. Arabica coffee combination ADS (Arabica-Dark roast-Siphon), ADA (Arabica-Dark roast-Aeropress), and ADV (Arabica-Dark roast-V60) which have less optimal visual and balance because dark roasting reduces the sensory criteria of coffee.
Feasibility Analysis of Using NIR Spectroscopy to Predict Ripeness Parameters of Red Guava Fruit (Psidium guajava L.) Hartanto, Rezza Naftari; Pertiwi, Setyo
Jurnal Keteknikan Pertanian Vol. 12 No. 2 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.2.230-241

Abstract

Red guava is highly preferred by Indonesians because of its delightful flavor, refreshing taste, and numerous advantages. It is a climacteric fruit, and the age at which red guava is picked affects the quality of the fruit. The estimation of the maturity parameters of red guava is physically destructive (damages the fruit). This study aimed to assess the NIR method to predict the maturity parameters of red guava fruit with wavelengths of 1000-2500 nm. Red guavas of four different picking ages were used in this study. The tested maturity parameters included firmness, moisture content, total soluble solids (TSS), acidity, and sugar-acid ratio at various harvest ages. The partial least squares (PLS) method was used for calibration and validation of NIRS data and reference data. The results of this study show that NIRS can estimate the ripeness of red guava fruit based on firmness, acidity, sugar-acid ratio, and water content. The best-estimated value for firmness parameters was obtained with pretreatment MSC factor PLS 14, resulting in r calibration of 0.94, SEP 7.20, CV 25.91%, and RPD 2.90; acidity without pretreatment factor PLS 13 obtained r calibration of 0.82, SEP 0.17, CV 24.42%, RPD 1.68; sugar acid ratio with pretreatment SNV factor PLS 10 obtained r calibration 0.75, SEP 4.03, CV 30.81%, RPD 1.51; and for moisture content using SNV pretreatment factor PLS 13, r calibration 0.88, SEP 0.95, CV 1.08%, RPD 1.95.
ANALISIS RANTAI PASOK DAN RANCANG BANGUN SISTEM KETERTELUSURAN KOPI ROBUSTA BERBASIS ANDROID Pertiwi, Setyo; Pujantoro, Lilik; Alhabsyi, Mohamad Fadel
Jurnal Keteknikan Pertanian Vol. 12 No. 3 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.3.314-326

Abstract

Robusta coffee is the most widely cultivated coffee commodity in Indonesia. In the East Bolaang Mongondow Regency, the problem at the supplier level is limited market information, which makes the coffee beans' quality inconsistent, impacting the price and product quality image. This research aims to identify supply chain structure models and members, added value, and design a traceability system to support product quality validation. Robusta coffee supply chain participants and their interactions were identified at the Modayag coffee plantation in East Bolaang Mongondow. The data were collected through observations, interviews, and field studies. Supply chain analysis was performed using the Vorst method and the added value was calculated using the Hayami method. The traceability system design follows the system development lifecycle method. The findings indicate that the Robusta coffee supply chain in East Bolaang Mongondow Regency includes farmers, collector traders, processing plants, the retail industry, coffee roasteries, and consumers. Farmers profit from selling perfectly ripe wet coffee beans 42-43%, wet mixed coffee beans (8%), and dry mixed coffee beans 63-71%. A traceability system named Kinton was successfully developed and integrated with the Firebase database to store all information.
QUALITATIVE ANALYSIS OF MEASURED FISH CAPTURE POLICY IN INDONESIA’S FISHERIES MANAGEMENT Riadi, Septa; Damar, Ario; Purnamadewi, Yeti Lis; Pertiwi, Setyo; Wahyudin, Yudi
Jurnal Segara Vol 19, No 3 (2024): December
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v19i3.15407

Abstract

Abstract
Penilaian Kualitas Air Sungai Kapuas dan Risiko Kesehatan Masyarakat yang Terkait dengan Praktik Higiene dan Sanitasi Masyarakat Wahyudi, Reza; M. Fauzi, Anis; Budiarti, Sri; Pertiwi, Setyo; Sintawardhani, Neni
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 2 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.2.201

Abstract

The Kapuas River is the main source of water for the community in Sanggau Regency, West Kalimantan; however, increasing anthropogenic pressure has raised concerns about water quality and public health risks. This study integrated the Exceedance Ratio (ER), Pollution Index (PI), and Quantitative Microbiological Risk Assessment (QMRA) to evaluate surface water quality from 2021to 2023 at four monitoring locations. Based on Class I standards, parameters that did not meet standards included iron (Fe) (ER = 4.00; 82% exceeded the limit), COD (ER = 2.37; 91%), BOD (ER = 2.10; 81%), and fecal coliforms (ER = 2.50; 82%). The PI values ranged from 2.16 to 5.07, classifying the rivers as lightly to moderately polluted, with a significant increase in 2023 (mean PI = 3.75 ± 0.82; p = 0.015). Although the Class II standards were nearly met, the QMRA indicated that the annual infection risk exceeded the WHO threshold (10⁻⁴ per person per year) at all locations. The exceedance factor (EF) in 2021–2022 ranged from 2.9–4.5 (adults) and 7.7–12 (children), increasing sharply in 2023 to 120 (adults) and 310 (children) at the water quality monitoring sites. These findings reveal a critical gap between regulation and health, highlighting the urgent need to strengthen sanitation management and health-based monitoring to support sustainable river governance and achieve Sustainable Development Goal (SDG) 6.
Co-Authors Alhabsyi, Mohamad Fadel Anas Miftah Fauzi Arifani, Riski Ario Damar Bambang Pramudya Bambang Pramudya Dewi Purnama Dietrich G. Bengen Dietriech Geoffrey Bengen EDI PRASODJO Edy Hartulistiyoso EKA I.K. PUTRI Endah Prahmawati Erizal , Fauzy, Anas Miftah Fitriananda, Putri Gani Soehadi Hartanto, Rezza Naftari Hideo Hasegawa Irma Isnafia Arief Irwan Ibnu Santoso Kukuh Nirmala Kurniawan, Ahmad Rahardi Lilik Pujantoro M. Fauzi, Anis Masayuki Koike Midian Shite Muhammad Amien H Prakoso Ramadhan Pradana Twenty One Resmianty, Teti Riadi, Septa Rokhani Hasbullah Ruchyat Deni Djakapermana Sally Cahyati Sam Herodian SANTUN R.P. SITORUS Sintawardhani, Neni Sri Budiarti Poerwanto Sukmawati, Elya Suprihatin Suprihatin Taufik Rizaldi Teti Resmianty Tineke Mandang Tomohiro Takigawa Toruan, Hotma Wahyudi, Reza Wawan Hermawan Widiatmaka widiatmaka Wiwin Ambarwulan Yeti Lis Purnamadewi Yudi Wahyudin Yuni Puji Hastuti Yunianto Setiawan, Yunianto