Jurnal Keteknikan Pertanian
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Analysis of the Supply Chain and Design of an Android-Based Robusta Coffee Traceability System
No full textRobusta 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\u27 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.Robusta coffee is the most widely cultivated coffee commodity in Indonesia. in East Bolaang Mongondow Regency, the problem at the suplier level is limited market information, which makes the quality of the coffee beans produced inconsistent, which impacts the price and product quality image. The research aims to identify models and members of structure, added value, performance efficiency, and a traceability system to support product quality validation. Robusta coffee supply chain participants and their interactions was identified at the Modayag coffee plantation in East Bolaang Mongondow. Data was collected through observation, interviews, and field studies. Supply chain analysis was performed using the Vorst method, while added value was calculated using the Hayami method, and supply chain performance was assessed using the SCOR-AHP method. The traceability system design followed the SDLC method. The findings indicate that the Robusta coffee supply chain in East Bolaang Mongondow Regency includes farmers, collectors, processing plants, the retail industry, coffee roatery and consumers. Post-harvest handling involves harvesting, sorting, drying, peeling dry coffee skin, and roasting. The results of the added value show that farmers receive more profits when selling mixed coffee beans that have been processed into dry coffee (greenbeans) 67.1%, the profit ratio for collectors is 20.7%, Kopine Isco 26.3%, D&L coffee 84.5% and Robusta Gunung Ambang 63.9%. The supply chain performance measurements showed 51.2% at the farmer level, 57.7% for collectors, and 63.8% for processing plants. A traceability system named Kinton was successfully developed and integrated with the Firebase database to store all information
Turbulent Flow Optimization in Evaporator Tank using Computational Fluid Dynamics
No full textPeningkatan kadar air dalam proses penyimpanan biodiesel merupakan permasalahan yang harus dicari solusinya. Salah satu solusi yang ditawarkan yaitu melalui penggunaan sistem dewatering biodiesel dengan teknologi vakum termal yang dapat menurunkan kadar air pada biodiesel sehingga sesuai spesifikasi yang ditetapkan. Pada penelitian ini, sistem dewatering biodiesel dengan teknologi vakum termal memiliki komponen utama yaitu tangki evaporator biodiesel. Walaupun penurunan kadar air masih sesuai standar, namun optimasi perlu terus dilakukan agar kadar air pada biodiesel <200 ppm. Penelitian ini bertujuan memperoleh aliran turbulen yang optimal dari tangki evaporator biodiesel yang dilengkapi sparger pipa dengan variasi lubang yang berbeda melalui simulasi CFD. Selain itu, simulasi ini diharapkan dapat memberikan pemahaman mengenai perilaku aliran biodiesel ketika melewati orifice plate dan sparger pipa sehingga diperoleh kondisi operasi yang terbaik. Penelitian meliputi simulasi CFD tangki evaporator biodiesel menggunakan orifice plate dan sparger pipa. Empat model yang diteliti yaitu tangki evaporator biodiesel yang dilengkapi orifice plate, sparger pipa A, sparger pipa B dan sparger pipa C. Berdasarkan hasil simulasi, tangki evaporator biodiesel yang dilengkapi sparger pipa C merupakan yang paling optimal dalam menghasilkan aliran turbulen. Hal tersebut berdasarkan sebaran kecepatan yang ditampilkan pada Re=5000, Re=10000, dan Re=50000. Dengan demikian, tangki evaporator biodiesel dengan pemasangan sparger pipa C berpotensi menurunkan kadar air lebih tinggi dibandingkan dengan pemasangan orifice plate, sparger pipa A dan sparger pipa B.The increase in water content during biodiesel storage poses a significant challenge that necessitates finding a solution. One proposed approach is the implementation of a thermal vacuum dewatering system for biodiesel, which effectively reduces the water content to meet the required specifications. In this study, the biodiesel evaporator tank is the main component of the dewatering system. While the current water content reduction meets the standard, continuous optimization is essential to achieve a water content in biodiesel below 200 ppm. This research aims to optimize the turbulent flow within the biodiesel evaporator tank by employing a pipe sparger with various hole configurations through computational fluid dynamics (CFD) simulations. Additionally, these simulations aim to enhance the understanding of biodiesel flow behavior as it passes through the orifice plate and pipe sparger, ultimately identifying the best operational conditions. The research encompasses CFD simulations of the biodiesel evaporator tank using both orifice plate and pipe sparger setups. Four models were investigated: biodiesel evaporator tanks equipped with an orifice plate, pipe sparger A, pipe sparger B, and pipe sparger C. The simulation results indicate that the biodiesel evaporator tank with pipe sparger C offers the most optimal turbulent flow, as evidenced by the velocity distribution observed at Re=5000, Re=10000, and Re=50000. Consequently, installing pipe sparger C in the biodiesel evaporator tank holds promise for achieving higher water content reduction compared to the orifice plate, pipe sparger A, and pipe sparger B configurations
Characteristics of Mechanical Strength and Flexibility of Shallots Leaf
Full text linkWhen operating drone sprayer, such as to distribute pesticides, downwash is the major cause of damage on the plants. Therefore, understanding the mechanical properties of plants are important to be able select the proper drone to use. In this research, characteristics of leaf strength and flexibility of two types of shallots were investigated, namely the Batu Ijo and Birma varieties. Research on the characteristics of the strength and flexibility of shallots was carried out from the 3rd to the 8th week for the Batu Ijo and 9 varieties of Birma, 100 samples each week. The strength of the leaf was measured by pulling the leaf until it breaks by attaching a thread to the base of the leaf which is pulled by a force gauge device. Then to measure its flexibility by pulling the top of the leaf with the thread that is pulled until it touches the ground surface. From this research, data on the strength characteristics of the leaves of the Birma variety 29 N that is much stronger than the Batu Ijo variety 8.9 N got obtained. Meanwhile, for the flexural characteristics, the Batu Ijo variety was 5 N with pressure P 0,113 N/cm2 more flexible than the Birma variety 3.3 N with pressure P 0,087 N/cm2. The minimum bending strength of the leaves for the two varieties F is almost the same, where for the Batu Ijo variety F 0.044 N with P 0.005 N/cm2 and for Birma varety F 0.041 N with pressure P 0.009 N/cm2. Based on the characteristics of this minimum bending, it becomes the basis for optimizing the design of the drone sprayer blade
Determination of Sustainable Factory Locations for the Lemon Agroindustry using AHP, Mapping and Water Management
Full text linkThis research was conducted in Suntenjaya Village, Lembang, West Bandung Regency, focusing on lemon agro-industry development through the Analytical Hierarchy Process (AHP) method approach, area mapping, and water management to determine a sustainable factory location. The main objective is the selection of factory site by integrating lemon production considering sustainable agriculture aspects, product aspects, and water conservation programs. The results of the study provide a strong foundation for sustainable agro-industrial development will support sustainable agriculture, local economy, and environmental protection. The research also combined qualitative and quantitative elements with a mixed approach that included Focus Group Discussion (FGD) and AHP with the results showing that integrated drainage management was the top priority, followed by sanitation, clean water, reforestation, and sustainable agriculture. Mapping of areas based on geographical characteristics such as rainfall, slope, and soil type provided a map of water infiltration rates that became a key guide in planning water conservation programs. This research has positive implications in supporting sustainable agricultural practices and local economic empowerment. The results of the AHP analysis and area mapping form a strong framework for the development of a sustainable lemon agro-industry with positive economic and environmental impacts.This research was conducted in Suntenjaya Village, Lembang, and West Bandung Regency, focusing on lemon agro-industrial development. Research was conducted using the Analytical Hierarchy Process (AHP) approach, area mapping, and water management to determine a sustainable factory location. The main objective is the selection of factory sites by integrating lemon production, considering sustainable agriculture aspects, product aspects, and water conservation programs. The results of this study provide a strong foundation for sustainable agro-industrial development that will support sustainable agriculture, local economy, and environmental protection. The research also combined qualitative and quantitative elements with a mixed approach that included Focus Group Discussion (FGD) and AHP, and the results showed that integrated drainage management was the top priority, followed by sanitation, clean water, reforestation, and sustainable agriculture. Mapping of areas based on geographical characteristics, such as rainfall, slope, and soil type, provided a map of water infiltration rates, which became a key guide in planning water conservation programs. The ultimate location for the lemon agroindustry is half of Desa Suntenjaya, mostly from the center to the northern area, which needs to consider proximity to markets in Bandung Regency and City, easy access to sources of raw materials for lemons, water availability, adequate transportation infrastructure, access to energy sources, suitable climate for lemon growth, and the availability of adequate labor in the region
Ergonomic Analysis of Small-Scale Palm Sugar Starch Processing Industry in Rancakalong Village, Sumedang Regency
Full text linkRancakalong village, Sumedang Regency, has been known for its small-scale palm sugar starch processing industry since 2013. This industry produces starch from palm trees, which is crucial for food and beverages. Generally, the processes involved in processing palm sugar starch include (i) splitting of the palm, (ii) grating, (iii) coarse fiber screening, (iv) fine fiber screening, (v) harvesting, and (vi) drying. Initial evaluations indicated that the workers experienced physical discomfort during their work. Therefore, this study aimed to analyze the ergonomic aspects of processing palm sugar starch, including the working posture, standard time, workload, noise, and vibration. Based on the analysis, the risk level for each work element in processing palm sugar starch fell into the high-risk (score 8-10) and very high-risk (score 11-15) categories. These risks cause discomfort due to inappropriate work posture and duration, necessitating significant changes. The standard time required for each work element was as follows: 212.88±28.43 seconds/kg (palm splitting), 363.45±12.90 seconds/kg (grating), 95.08±9.74 seconds/kg (coarse fiber screening), 192.05±21.27 seconds/kg (fine fiber screening), 35.57±5.78 seconds/kg (harvesting), and 1821.01±41.09 seconds/kg (drying). Regarding workload analysis, processing palm sugar starch activities fell into the moderate category with total energy cost (TEC) values ranging from 92.66±1.50 265.55±3.88 kcal/hour. Regarding noise and vibration analysis, the grating work element was identified as the station with the highest exposure, i.e., 96.00±0.82 dB and 1.6±0.05 m/s2, respectively. The results of this study could be used as a basis for developing more efficient work procedures, maintaining health, and improving safety in the processing of palm sugar starch.Palm starch processing is a process to produce starch from sugar palm plants, which is used as a raw material in the food and beverage industry. In general, palm starch processing activities include (i) splitting, (ii) grating, (iii) filtering coarse fiber, (iv) filtering fine fiber, (v) harvesting, and (vi) drying. Initial evaluations indicated that workers experienced physical discomfort during work. Therefore, this research aims to analyze the ergonomic aspects of palm starch processing activities, including work posture, standard time, workload, noise and vibration. Based on the analysis, the level of risk in each work element in palm starch processing includes high risk (score 8-10) and very high (score 11-15). This risk causes discomfort because work attitudes and duration do not follow standards, so changes are needed. The standard time required for each work element is as follows: 212.88 s (splitting), 363.45 s (grating), 95.08 s (filtering coarse fiber), 192.05 s (filtering fine fiber), 35 .57 seconds (harvesting), and 1821.01 s (drying). Regarding workload analysis, the Total Energy Cost (TEC) value as the level of exhaustion for sugar palm starch processing activities ranges from 92.66 kcal/hour to 265.55 kcal/hour. Regarding noise and vibration analysis, the grating workstation was identified as the station with the highest exposure values, i.e., 96 dB and 1.6 m/s2. The results of this research can be used as a basis for developing more efficient work procedures, maintaining health and increasing safety in palm starch processing activities
Economic Evaluation of Industrial Plantation Forest Residues for Energy Fulfillment in the IKN
No full textDalam waktu 10 tahun terakhir laju pertumbuhan penduduk Indonesia adalah 1.25% per tahun. Dengan meningkatnya populasi Indonesia berdampak terhadap konsumsi energi nasional yang meningkat dari 3.01 barrels oil equivalent (BOE) per kapita di tahun 2013 menjadi 3.12 BOE per kapita di tahun 2020. Salah satu upaya untuk mengurangi emisi ini adalah memanfaatkan sumber energi terbarukan terutama dari sektor kehutanan. Salah satu produknya adalah biomassa atau produk dalam bentuk woodpellet. Biomass dari hasil kegiatan perkebunan karet, logging residue, dan sawn timber residue memiliki potensi energi sebesar 152 GJ per tahun. Salah satu upaya untuk mengatasi permasalahan lingkungan adalah dengan memindahkan Ibu Kota Negara ke Provinsi Kalimantan Timur. Terdapat potensi yang besar untuk memanfaatkan sektor kehutanan dalam mensuplai energi, salah satunya adalah residue dari hutan tanaman industri (HTI). Melalui studi ini akan dihitung keekonomian produk woodpellet dari residue HTI sebagai bahan baku Pembangkit Listrik Tenaga Biomassa (PLTBm). Berdasarkan hasil perhitungan harga minimum wood pellet adalah Rp. 1,700/kg dan diperoleh IRR 13.1%, NPV Rp. 41 miliar, dan payback period 8.1 tahun. Dengan menggunakan input harga keekonomian wood pellet sebagai harga beli bahan baku untuk PLTBm, diperoleh harga keekonomian listrik adalah Rp. 3,000/kwh. Solusi lainnya adalah dengan memproduksi steam, dari hasil perhitungan keekonomian harga steam minimum adalah Rp. 740/kg, sehingga diperoleh keekonomian PLTBm IRR 11.4%, NPV Rp. 21.7 miliar, dan payback period 8.3 tahun.Indonesia\u27s population growth rate has been 1.25% per year in the last ten years. The increase in Indonesia\u27s population impacted national energy consumption, increasing from 3.01 barrels oil equivalent (BOE) per capita in 2013 to 3.12 BOE per capita in 2020. The efforts to reduce these emissions is utilizing renewable energy sources, especially from the forestry sector. One of the products is biomass, or products in the form of wood pellets. Biomass from rubber plantation activities, logging residue, and sawn timber residue have an energy potential of 152 GJ per year. The government effort to overcome environmental problems is to move the Indonesia Capital City to East Kalimantan Province. There are great potential to utilize the forestry sector in supplying energy, one of which is residue from industrial plantation forests (HTI). This study calculates the economics of wood pellet products from HTI residue as raw material for Biomass Power Plants. Based on the calculation, the minimum price for wood pellets is Rp. 1,700/kg and obtained an IRR of 13.1%, NPV Rp. 41 billion, and a payback period of 8.1 years. Using the input of the economic price of wood pellets as the purchase price of raw materials for power plant, the economic price of electricity is Rp. 3,000/kWh. The price is higher than regulated price, another solution is converted electricity into steam. The minimum steam price is Rp. 740/kg, so the economics of power plant achieved IRR 11.4%, NPV Rp. 21.7 billion, and payback period of 8.3 years
Mapping the Potential Development of Soybenas Crops Based on Growing Degree Days
Full text linkPertumbuhan dan hasil tanaman ditentukan oleh beberapa faktor utama yang terdiri dari tanah, iklim, dan tanaman. Pengaruh iklim terhadap pertumbuhan tanaman jauh lebih besar daripada tanah pada kondisi tertentu. Hal ini dibuktikan oleh beberapa kondisi dimana pertumbuhan vegetasi penutup yang jauh berbeda padahal tumbuh pada tanah yang sama. Waktu panen satu jenis tanaman tidak sama pada setiap tempat yang berbeda. Hal tersebut dipengaruhi oleh salah satu faktor penting yaitu derajat tumbuh harian atau derajat hari pertumbuhan Growing Degree Days (GDD). Kesesuaian wilayah untuk perkembangan suatu komoditas pertanian dapat ditentukan dengan mengetahui parameter-parameter seperti jenis tanah, kelerengan, penggunaan lahan, curah hujan, dan suhu GDD dengan menggunakan sistem informasi geografis. Penelitian bertujuan untuk menentukan kesesuaian lahan tanaman kedelai wilayah Sumatera Barat berdasarkan nilai GDD. Analisis kesesuaian lahan menggunakan metode GDD dilakukan melalui beberapa tahapan yaitu klasifikasi parameter kesesuaian lahan tanaman kedelai, pembuatan peta kesesuaian lahan tanaman kedelai secara karateristik fisik, klasifikasi nilai GDD tanaman kedelai untuk wilayah Sumatera Barat, pembuatan peta kesesuaian lahan tanaman kedelai berdasarkan nilai GDD. Lahan potensial untuk budidaya kedelai di Sumatera Barat berdasarkan kelas kesesuaian lahan, karakteristik fisik dan nilai GDD yaitu seluas 555.791,66 hektar pada kelas S1 (sangat sesuai) dan seluas 2.313.796,44 hektar pada kelas S2 (cukup sesuai). Waktu tanam yang paling optimal untuk budidaya kedelai adalah pada bulan Agustus. Kabupaten Lima Puluh Kota, Kabupaten Pasaman, Kabupaten Sijunjung, dan Kabupaten Solok memiliki lahan yang cocok untuk budidaya kedelai dengan luas lebih dari 200 ribu hektar dan berada pada daerah dengan Growing Degree Days yang sesuai bagi pertumbuhan kedelai.
The main factors affecting plant growth and yield are soil, climate, and plants. The influence of clime is more than soil on plant growth under certain conditions. The evidence is that some cover vegetation growth conditions are much different even though they grow on the same land. In each distinct place, the harvest time of one type of plant is not the same. One crucial factor that affects this is the daily growth rate or the degree of Growing Degree Days (GDD). Know parameters such as soil type, slope, land use, rainfall, and GDD temperature by using geographic information systems in determining the suitability of agricultural commodity development areas. The study aims to determine the suitability of soybean cropland in West Sumatra based on GDD value. Conducting land suitability analysis using the GDD method through several stages, namely, the classification of soybean land suitability parameters, making a map of soybean plant land suitability in physical characteristics, classifying the GDD value of soybean plants for the West Sumatra region, and making a soybean cropland suitability map based on GDD value. The potential land for soybean cultivation in West Sumatra based on land suitability class, physical characteristics, and GDD value is 555,791.66 hectares in class S1 (very suitable) and an area of 2,313,796.44 hectares in class S2 (appropriate enough). The most optimal planting time for soybean cultivation is in August. Lima Puluh Kota Regency, Pasaman Regency, Sijunjung Regency, and Solok Regency have land suitable for soybean cultivation with more than 200 thousand hectares of areas and are in areas with growing degree days suitable for soybean growth
Box Design Selection for Portable Minapadi Based on Hydrostatic and Thermal Loading Simulation
Full text linkLand conversions pose a threat to food security. Urban agriculture is considered to be a solution to this issue. Urban agricultural innovations are diverse, including vertiminaponics, cube-model microirrigation, and Nonpowered Automatic Fertigation systems. The development of a powerless automatic fertigation innovation involves creating a portable Minapadi concept by substituting some components, such as pots, with fiberglass boxes. This study aims to achieve a good box design to support the concept of urban agriculture. The study began by testing 10 fiberglass samples on a UTM machine to obtain the mechanical properties of the material, such as the modulus of elasticity, which were input into a computer simulator along with other physical and mechanical properties. The computer-aided simulator used was the ANSYS 2024 R2 Student software, simulating two potential box designs: the first box had a thickness of 4 mm with a lateral support in the middle of its vertical span, while the second box had a thickness of 6 mm without lateral support. Loading was applied hydrostatically with water level heights ranging from 50 to 400 mm and thermal loading simulating solar radiation. The results of this study show that solar radiation has a minimal impact on box deformation, whereas water-level height plays a significant role in box deformation. The first box design was considered the best based on deformation due to hydrostatic pressure, with a maximum deformation of 2.175 mm under hydrostatic loading with a water level height of 400 mm.Land conversion has led to the encouragement of urban farming, which is practiced on a small area of land. The innovation of Nonpowered Automatic Fertigator that has been used to support urban farming continues to be developed, especially for the portable paddy-fish integrated farming model. Because of this, a study of supporting equipment is needed, one of which is a good cribs design. Tests were carried out on the materials that make up the cribs to determine the mechanical properties of the material in the form of Young’s modulus where from ten test objects the average elastic modulus was obtained at 15582.19 MPa. The mechanical properties obtained are entered into a computer simulator to be applied to the simulation of the cribs. There are two cribs designs that were tested by being loaded with hydrostatic loads and thermal loads. The results of the simulation showed that the first cribswas rated better than the second cribs with a smaller maximum total deformation indicator than the second cribs design under extreme hydrostatic loading conditions
Penyimpangan Iklim ENSO dan IOD di Kalimantan Tengah Serta Kaitannya dengan Produksi Kelapa Sawit
Full text linkKelapa sawit merupakan tanaman perkebunan yang membutuhkan curah hujan yang merata sepanjang tahun. Curah hujan diIndonesia memiliki 3 pola yaitu pola monsoonal, equatorial dan lokal. PT. Harapan Hibrida Kalbar Sungai Bila Estate merupakan wilayah kajian penelitian ini memiliki pola curah hujan equatorial. Curah hujan dapat menyimpang dari pola kondisi iklim pada umumnya karena adanya variabilitas iklim El Nino Southern Oscillation dan Indian Ocean Dipole. Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks El Nino Southern Oscillation sebesar -0,78** dan -0,64*. El Nino Southern Oscillation Memiliki hubungan yang kuat dan terbalik dengan curah hujan diwilayah kajian saat musim kemarau dengan nilai signifikan pada selang kepercayaan 0,01 ( Juni, Juli, Agustus) dan 0,05 (September, Oktober, November) Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks Indian Ocean Dipole sebesar -0,4 dan -0,5. Pengaruh El Nino Southern Oscillation lebih kuat dibandingkan dengan Indian Ocean Dipole di wilayah kajian. Fase El Nino (lanina) menyebabkan curah hujan diwilayah kajian menjadi lebih rendah (tinggi) dari kondisi normal, sehingga terjadi kemarau Panjang (Kemarau basah). Produksi kelapa sawit pada jenis tanah Sandy Loam lebih fluktuatif dan lebih rentan saat terjadi kemarau panjang dibandingkan jenis tanah clay. Produksi kelapa sawit lebih dipengaruhi oleh jumlah hari hujan dibandingkan jumlah akumulasi curah hujan dalam setahun.Oil palm is a plantation crop that requires even rainfall throughout the year. Rainfall in Indonesia has 3 patterns, namely monsoonal, equatorial and local patterns. PT Harapan Hybrid Kalbar Sungai Bila Estate is the study area for this research which has an equatorial rainfall pattern. Rainfall can deviate from the general pattern of climatic conditions due to the climate variability of the El Nino Southern Oscillation and the Indian Ocean Dipole. The results of the Pearson correlation coefficient between the June July August and September October November rainfall with the El Nino Southern Oscillation index are -0.78** and -0.64*. El-Nino Southern Oscillation has a strong and inverse relationship with rainfall in the study area during the dry season with a significant value at a confidence interval of 0.01 (June, July, August) and 0.05 (September, October, November). Results of the Pearson correlation coefficient between rainfall monsoon rains June July August and September October November with an Indian Ocean Dipole index of -0.4 and -0.5. The influence of the El Nino Southern Oscillation is stronger than that of the Indian Ocean Dipole in the study area. The El Nino (Lanina) phase causes rainfall in the study area to be lower (higher) than normal conditions, resulting in a long dry season (wet dry season). Palm oil production on Sandy Loam soil types is more volatile and more vulnerable during long periods of drought than clay soil types. Palm oil production is more influenced by the number of rainy days than the amount of accumulated rainfall in a year
Feasibility Analysis of Using NIR Spectroscopy to Predict Ripeness Parameters of Red Guava Fruit (Psidium guajava L.)
Full text linkRed 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.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