Jurnal Keteknikan Pertanian
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Near Real Time Spasial Distribution of Tillage Specific Draft Over Uncultivated Sugar Cane Plantation Based on SENTINEL-1A Imagery
Variabilitas spasial sangat penting dalam pengelolaan pertanian skala besar seperti perkebunan. Informasi tentang variabilitas spasial lahan pertanian diperlukan untuk memastikan efektivitas dan efisiensi pengoperasian mesin pengolahan tanah. Studi ini mengusulkan sebuah model untuk menentukan distribusi spasial mendekati waktu nyata dan resolusi tinggi dari draft spesifik pengolahan tanah berdasarkan citra radar Sentinel-1A. Hasil penelitian menunjukkan bahwa dinamika spasial kadar air tanah dekat waktu nyata dengan fraksi debu dan liat pada lapisan olah tanah mempengaruhi sifat mekanik tahanan penetrasi tanah. Model Dubois telah diterapkan untuk menghitung kadar air tanah spasial berdasarkan Sentinel-1A. Model matematika untuk menghitung tahanan penetrasi tanah dikembangkan dari metode yang diusulkan menggunakan pendekatan regresi berganda berdasarkan data sampel yang dikumpulkan dari perkebunan tebu di kabupaten Kediri dan Sidoarjo, Jawa Timur, Indonesia. Kinerja model telah dihitung dan menunjukkan kinerja yang baik dengan nilai RMSE, MAPE dan akurasi masing-masing sebesar 0,235, 18,32% dan 81,68%. Distribusi spasial tahanan penetrasi tanah yang dihasilkan oleh model menjadi masukan penting dalam perhitungan draft spesifik pengolahan tanah berdasarkan pendekatan Kisu. Distribusi tahanan penetrasi dan draft spesifik pengolahan tanah dapat dihitung dan divisualisasikan menggunakan peta spasial. Peta sebaran draft spesifik pengolahan tanah membuktikan bahwa gaya yang bekerja per luas penampang tanah yang akan diolah bervariasi di seluruh area perkebunan tebu. Kontribusi masa depan dari penelitian ini adalah untuk mengembangkan sistem pendukung keputusan dalam pemilihan mesin pertanian yang tepat untuk operasi pengolahan tanah di perkebunan tebu berdasarkan prinsip-prinsip pertanian presisi.Spatial variability is very important in the management of large-scale agriculture such as plantations. Information on the spatial variability of agricultural land is needed to ensure the effectiveness and efficiency of the operation of tillage machineries. This study proposes a model to determine the near-real-time and high-resolution spatial distribution of specific draft of tillage based on Sentinel-1A radar images. The research shows that the dynamics of spatial soil water content in near real time together with the fraction of silt and clay in the tillage layer affect the mechanical properties of the soil penetration resistance. The Dubois model has been applied to calculate the spatial soil water content based on Sentinel-1A. A mathematical model for calculating soil penetration resistance was developed from the proposed method using a multiple regression approach based on sample data collected from sugarcane plantations in the districts of Kediri and Sidoarjo, East Java, Indonesia. The performance of model has been calculated and shows good performance with RMSE, MAPE and accuracy values of 0.235, 18.32% and 81.68%, respectively. The spatial distribution of soil penetration resistance generated by the model becomes an important input in the calculation of the specific draft of tillage based on the Kisu approach. The distribution of the penetration resistance and the specific draft of tillage can be calculated and visualized using a spatial map. The distribution map of specific draft of tillage shows that the force per cross-sectional area of worked soil varies in the sugarcane plantation area. The future contribution of this research is to develop a decision support system in the selection of appropriate agricultural machinery for tillage operations in sugarcane plantations based on the principles of precision agriculture
Selecting The Most Optimum Sentinel-2A Based Vegetation Index to Estimate the Leaf Area Index of Three Rice Cultivars
Pendugaan Indeks Luas Daun (LAI) menjadi penting karena LAI merupakan salah satu parameter dalam analisis model pertumbuhan tanaman. Pertumbuhan tanaman memiliki karakteristik yang berbeda-beda dan sangat dipengaruhi oleh kondisi dan faktor lingkungan. Pertumbuhan tersebut cenderung terjadi dalam waktu yang singkat dan mencakup wilayah yang cukup luas. Oleh karena itu, diperlukan pendekatan untuk menganalisis pola perubahan pertumbuhan tanaman berbasis LAI secara spasial. Penginderaan jauh menawarkan pendekatan yang efektif dan efisien dalam memantau karakteristik pertumbuhan tanaman, yang dapat dilakukan secara time series dengan cakupan wilayah yang cukup luas dengan mendeteksi dan memantau karakteristik fisik tanaman. Parameter yang paling terkenal dan umum digunakan untuk memperkirakan LAI adalah indeks vegetasi yang biasanya dihitung berdasarkan rasio panjang gelombang merah dan NIR, yang dikenal sebagai spectral-signature. Penelitian ini bertujuan untuk mengetahui hubungan spasio-temporal antara LAI pada tiga varietas padi berdasarkan indeks vegetasi Sentinel-2A, dan memilih indeks vegetasi yang paling optimum dalam pendugaan LAI. Dilakukan proses sinkronisasi LAI untuk setiap plot dengan piksel nilai indeks vegetasi berbasis Sentinel-2A. Hasil analisis menunjukkan bahwa indeks vegetasi memiliki korelasi yang kuat dengan LAI. Perbandingan keempat indeks vegetasi yang dihitung dalam pendugaan LAI dilakukan dengan menggunakan model regresi linier dan dilanjutkan dengan membandingkan R-kuadrat, RMSE dan Correctness. Indeks vegetasi EVI2 memberikan representasi paling optimal dalam menangkap pola pertumbuhan tanaman berdasarkan LAI.The estimation of leaf area index (LAI) becomes important as LAI is one of the parameters in analyzing the crop growth model. Crop growth has different characteristics and it’s strongly influenced by environmental conditions and factors. The growth tends to occur in a short period and covers a large area. Therefore, an approach to analyzing the pattern of changes in crop growth based on LAI spatially is needed. Remote sensing offers an effective and efficient approach to monitoring crop growth characteristics, which can be done in a time series with a wide area coverage by detecting and monitoring the physical characteristics of the crop. The most famous and commonly used parameters to estimate LAI are vegetation indices which are usually calculated based on the ratio of the red and NIR wavelength, known as a spectral signature. The objectives of the research are to examine the Spatio-temporal correlation between LAI of three rice cultivars Sentinel-2A based vegetation indices and to select the most optimum vegetation index in estimating LAI. The field experiment was set up comprising 81 plots, each had a size of 10m x 10 m to resemble a pixel of Sentinel-2A imagery. The results of the analysis show that the vegetation index has a strong correlation with LAI. The Comparison of the four calculated vegetation indices in estimating LAI was performed using a linear regression model and followed by comparing R-squared, RMSE, and Correctness. In general, the EVI2 vegetation index provides the most optimum representation in capturing crop growth patterns based on LAI compared to NDVI, ARVI and SAVI vegetation indices calculated from Sentinel-2A satellite imagery indicated by the better-validated model with the result of RMSE value are 1.12 on V1, 1.11 on V2 and 0.70 on V3. The result of EVI2 Correctness also showed the highest value compared to the other vegetation indices with values of more than 60%, 64.15% on V1, 65.51% on V2, and 78.69% on V3. Further analysis by separating two growth stages could overcome the bias that appears in the LAI data for one life of the crop cycle which is indicated by the decrease of RMSE value on each cultivar planted for both vegetative and generative phases, except for cultivar V3 for the generative phase. The separation of data into two growth stages also increase the percentage value of correctness reaching a number above 60% and there was a value that reached 87%
Prediksi Kandungan Kimia Kopra Dengan FT-Nir Spectroscopy Menggunakan PLS
Kopra merupakan produk turunan kelapa yang digunakan sebagai bahan baku pembuatan minyak kelapa dan turunannya. Kandungan kimia kopra umumnya ditentukan dengan menggunakan metode kimia yang merusak bahan, waktu yang lama, dan membutuhkan bahan kimia. Oleh karena itu, perlu metoda alternatif dalam penentuan kandungan kimia kopra yang tidak merusak, cepat dan tidak mengandung bahan kimia. Tujuan penelitian ini adalah untuk mengkaji metoda spektroskopi FT-NIRS sebagai metode cepat untuk prediksi kadar air dan asam lemak bebas (FFA) kopra. Kopra utuh sebanyak 45 sampel diukur reflektannya dengan spectrometer NIRFlex N-500 pada panjang gelombang 1000-2500 nm. Setelah itu kaadar air dan kadar asam lemak bebas kopra ditentukan menggunakan metode kimia. Sejumlah pengolahan data spektra (SNV, MSC, Normalization, dan OSC) dilakukan kemudian spektra yang telah terolah dikalibrasi dengan data kimia menggunakan PLS. Prediksi terbaik untuk penentuan kadar air kopra adalah menggunakan pretreatment SNV dengan 12 faktor PLS (r = 0,97, SEC = 0,70%, SEP = 0,73, CV = 9,08%, RPD = 3,41 dan konsistensi 95,75%). Sedangkan untuk prediksi kadar asam lemak bebas (FFA) adalah menggunakan pretreatment OSC dengan faktor 13 PLS (r = 0,90, SEC = 0,04%, SEP = 0,05%, CV = 24,45%, RPD = 2,05 dan konsistensi 71,78%). Hasil ini menunjukkan bahwa kadar air dan kadar FFA kopra dapat diprediksi oleh FT NIR Spectroscopy.Copra is a coconut derivative product used as a raw material for making coconut oil and its derivatives. The chemical content of copra is determined using chemical method that damage the material, take a long time, and use chemicals. Therefore, it is necessary to have another alternative in determining the chemical content of copra, which is non-destructive, fast and does not contain chemicals. The purpose of this study was to examine the FT-NIRS method as a rapid method for predicting the water and free fatty acids (FFA) content of copra. The reflectance of 45 whole copra samples was measured using the NIRFlex N-500 spectrometer at the wavelength of 1000-2500 nm. After that, the water and free fatty acid content of copra were determined using chemical method. Several spectral data processing (SNV, MSC, Normalization, and OSC) were carried out then the processed spectra were calibrated with chemical data using PLS. The best prediction for copra water content is using SNV pretreatment with 12 PLS factors (r = 0.97, SEC = 0.70%, SEP = 0.73, CV = 9.08%, RPD = 3.41 and consistency 95.75%). Meanwhile, the prediction of free fatty acids (FFA) content is using OSC pretreatment with 13 PLS factors ( r = 0.90, SEC = 0.04%, SEP = 0.05%, CV = 24.45%, RPD = 2.05 and 71.78% consistency). These results indicate that the water and FFA content of copra can be predicted by FT-NIR spectroscopy
Evaluasi Keberlanjutan Pemanfaatan Alat Dan Mesin Pertanian Pascapanen Kopi
Kopi sebagai penyumbang devisa terbesar keempat Indonesia dan produksinya didominasi perkebunan rakyat dengan pengelolaan yang terbatas. Untuk mendukung hilirisasi kopi lokal maka Direktorat Jenderal Perkebunan mengembangkan peralatan pascapanen kopi melalui bantuan alat dan mesin (alsintan) pascapanen dan pengolahan kopi. Sehingga evaluasi pemanfaatan alsintan terhadap keberlanjutan perlu dilakukan untuk mendukung kebijakan pembangunan industri prioritas kopi. Tujuan penelitian ini adalah mengevaluasi keberlanjutan pemanfaatan bantuan alsintan pascapanen kopi bantuan pemerintah periode tahun 2017-2020. Penelitian ini menggunakan metodologi survei melalui pendekatan expert systemdengan teknik analisis yakni: Data Envelopment Anaysis (DEA) dan Analitycal Hierarchical Process (AHP). Penelitian ini menunjukkan bahwa status keberlanjutan pemanfaatan alat dan mesin pertanian pascapanen kopi semua poktan masuk dalam kategori baik pada aspek ekonomi dan teknologi. Sedangkan rekomendasi strategi peningkatan pemanfaatan alsintan pascapanen kopi sesuai alternatif yang diprioritaskan adalah bahan baku dengan stakeholder yang berperan yaitu poktan.Coffee, the fourth most significant contributor to Indonesia\u27s foreign exchange earnings, and smallholder plantations with limited management dominate its production. To support the downstream flow of local coffee, the Directorate General of Plantations developed post-harvest coffee equipment through the assistance of the post-harvest tools and machines and coffee processing. Thus, evaluating the utilization of agricultural machinery in terms of its sustainability and optimization needs to support developing and prioritizing the coffee industry. Therefore, this study aims to assess the sustainability of post-harvest aid from government assistance from 2017 to 2020. A survey methodology through an expert system approach and analysis techniques such as Data Envelopment Analysis (DEA) and Analytical Hierarchical Process (AHP) is using for this study. This research shows that all farmer associations\u27 sustainable use of coffee post-harvest agricultural equipment and machinery falls into the good category for economic and technological aspects. Meanwhile, the recommendation of strategies to increase coffee post-harvest equipment and machines according to the alternatives prioritized involves the quality of raw materials, and stakeholders are important to farmer associations
Pemanfaatan Water Power Generator di Saluran Irigasi Tersier untuk Penanganan Hama Padi
Kegagalan panen merupakan salah satu penyebab belum tercukupinya kebutuhan pangan di Indonesia. Penyebab utama kegagalan panen diakibatkan oleh hama, seperti: burung, penggerek, wereng, dan lain-lain. Potensi aliran irigasi tersier di Indonesia sangat besar tetapi belum dimanfaatkan secara optimal. Tujuan penelitian yaitu mendapatkan rancang bangun Wapoge (water power generator) yang mampu bekerja di saluran irigasi tersier dan bisa dimanfaatkan untuk pengendalian hama padi (hama burung dan serangga). Uji performansi dengan beban dilakukan pada rentang debit 48, 68, dan 77 liter/detik dan diimplementasikan pada lahan padi seluas 2500 m2. Energi listrik dimanfaatkan sebagai pengendali hama serangga (light trap) dengan tiga variasi daya lampu LED putih (3, 6, dan 9 watt), sedangkan energi gerak dimanfaatkan untuk pengusiran hama burung (orang-orangan sawah dan bunyi-bunyian). Pengamatan hama dilakukan secara visual, masing-masing dengan tiga ulangan. Debit aliran berbanding lurus dengan putaran turbin dan beda potensial yang dihasilkan. Light trap LED 9 watt mampu menangkap hama penggerek lebih banyak dan berbeda nyata dibandingkan dengan 3 dan 6 watt. Penggunaan Wapoge mampu mengusir hama burung secara signifikan pada tiga waktu pengamatan (pagi, siang, dan sore). Pemanfaatan energi baru terbarukan perlu terus dikembangkan untuk mendukung usaha tani.The inadequate rice in Indonesian occur due to crop failure. Paddy’s pest (e.g. bird and insect) contributes crop failure significantly. Besides for water delivery, tertiary irrigation canal enable to develop another function such as micro-hydro. The research objective is to find Wapoge (water power generator) that adequate in tertiary irrigation canal for paddy’s pest handling (i.e. birds and insects). Performance test applied with water discharge variability (i.e. 48, 68, and 77 l/s) and 2500 m2 paddy field. Electricity was utilized for light trapping with white LED lamp’s power variablity (i.e. 3, 6, and 9 watt), while motion energy utilized for bird eviction (i.e. scarecrow and sounds). Visual observation was applied on pest counting with three repetition. Water recharge influence on turbine rotation and voltage. Light trapping, with LED 9 watt, show higher performance than 3 and 6 watt significantly. Wapoge adequate on bird eviction significantly during observation time (i.e. morning, noon, and afternoon). Renewable energy should be developed especially on supporting agricultural sector
Analisis Kinerja Traksi Roda Tipe Trek pada Tanah Basah Berlumpur Dalam di Bak Tanah
Traktor tangan dengan roda bersirip mengalami kesulitan saat beroperasi di lahan sawah yang basah dan berlumpur dalam. Salah satu solusi pada masalah ini yaitu dengan cara mengganti roda bersirip dengan alat traksi tipe trek bersirip yang memiliki bidang kontak jauh lebih besar. Data karakteristik kinerja traksi trek pada tanah berlumpur untuk kebutuhan desain dapat diperoleh dengan menguji prototipe roda trek di bak tanah. Penelitian ini bertujuan menganalisis kinerja traksi roda tipe trek bersirip pada tanah basah dan berlumpur dalam. Roda tipe trek dengan panjang 60 cm dan lebar 20 cm diuji di bak tanah yang berisi tanah pada kondisi batas cair dan berlumpur sedalam 30 cm. Pengujian dilakukan terhadap variasi beban vertikal 9.5, 12.5, 15.5, 18.5, dan 22.7 kg; beban horizontal 1, 2, 3, dan 4 kg; jarak antar sirip 12.70, 19.05, dan 25.40 cm; dan tinggi sirip 5, 10, dan 15 cm. Parameter yang diamati dalam pengujian yaitu ketenggelaman roda, slip, dan efisiensi traksi. Hasil pengujian menunjukkan bahwa beban tarik dan beban vertikal memiliki pengaruh yang dominan terhadap ketenggelaman roda, slip, dan efisiensi traksi. Desain roda tipe trek yang optimum memiliki ukuran tinggi sirip 10 cm dan jarak antar sirip 19.05 cm menghasilkan ketenggelaman trek 7.32 cm, slip trek 14.43% dan efisiensi traksi 68.46%.Hand tractors with lugged wheels have difficulty when operating in wet and deep mud of paddy fields. To solve this problem, the wheels need to be replaced with tracks wheel type that have a much larger contact area. Data on traction performance characteristics of the track wheel type on muddy soil are required for design purposes, which can be obtained by testing the prototype of track wheel type on a soil bin. The objective of this research is to analyze the traction performance of the lugged track of wheel type on wet soil. The track wheel type with a length of 60 cm and a width of 20 cm will be tested in a soil bin filled with wet and muddy soil with a depth of 30 cm. The test will be carried out on variations in vertical loads of 9.5, 12.5, 15.5, 18.5, and 22.7 kg; horizontal loads of 1, 2, 3, and 4 kg; distance between of lugs of 12.70, 19.05, and 25.40 cm; and height of lugs of 5, 10, and 15 cm. Parameters observed in the test are sinkage, slip and traction efficiency. The test results show that the pull force and vertical force have a dominant effect on track sinkage, track slip, and tractive efficiency. The optimum track wheel type design has size a lug height of 10 cm and a distance between lugs of 19.05 cm result in a sinkage of 7.32 cm, slip of 14%, and tractive efficiency of 68.46%
Estimation of Rice Productivity Using The Normalized Difference Vegetation Index (NDVI) Algorithm (Case Study of Gunung Talang District, Solok Regency)
Rice productivity is closely related to rice harvested area and cropping intensity. Remote sensing technology using MODIS MOD13A1 v006 image produces Normalized Difference Vegetation Index (NDVI) values that can be interpreted in analyzing the value of rice productivity. Gunung Talang District has a rice field area of 3,369 m2, which is one of the central rice areas in West Sumatra Province. This study aimed to determine the regression equation to estimate rice productivity in Gunung Talang District, Solok Regency using the NDVI algorithm. The NDVI data used to generate the regression equation was taken in the generative phase. From the results of data analysis, the regression equation for estimating rice productivity in Talang District, Solok Regency is y = 250.33x4 - 1493.3x3 + 2293.6x2 - 1353.9x + 281.13, where x is the NDVI value and y is the productivity value (ton ha-1). The test results of the model\u27s validity are expressed in the value of NSE (Nash-Sutcliffe Efficiency) is 0.66, which is categorized as adequate
Detection of Chilling Injury Symptoms of Salak Pondoh Fruit during Cold Storage with Near Infrared Spectroscopy (NIRS)
One of the treatment methods that is suitable for maintaining the quality of salak pondoh fruit is cold storage. However, cold storage of salak pondoh fruit below its optimum storage temperature (15°C) can cause chilling injury/CI. This research aims to develop a non-destructive method of determining the CI symptoms of salak pondoh fruit during storage at 5°C with NIRS. Measurements were carried out for 14 days by measuring the CI parameters (pH and IL/ion leakage) and the NIR reflectance spectra. The best PLS method NIR calibration model for estimating pH was generated using the Savitzky-Golay Smoothing pretreatment with rk= 0.81, rv =0.76, SEC= 0.12%, SEP =0.12%, CV= 2.97%, RPD= 1.66, and consistency =100.06%. The IL slope of salak pondoh fruit correlated with the pH in a linear pattern relationship with the equation y = 0.1735x - 0.4305. The highest IL slope value was obtained on the 4th day of storage which means that IL has reached its peak, and CI was predicted to have occurred on the 4th day of storage
Retail Packaging Design For Avocado Fruits Labeled Ripe Indicator
Kematangan buah alpukat tidak mudah diketahui karena tidak ditandai dengan perubahan warna. Konsumen umumnya menekan buah untuk memastikan tingkat kematangannya, oleh karena itu diperlukan label indikator kematangan agar buah tidak rusak karena sering ditekan. Tujuan dari penelitian ini adalah merancang kemasan ritel alpukat yang dilengkapi dengan label indikator kematangan buah. Penelitian dilakukan dengan tahapan pembuatan matrik indikator warna berbahan KMnO4 dan Molibdat, pemilihan kemasan retail, aplikasi label indikator pada kemasan dan penyimpanan pada suhu ruang (T1) dan suhu rendah (T2). Pada kemasan diberi perforasi (P1) dan tanpa perforasi (P2). Paremeter yang diukur adalah laju respirasi, warna label indikator, kekerasan dan TPT (Total Padatan Terlarut). Kemasan didesain untuk dua buah alpukat dengan berat 0,5 kg perkemasan. Bahan kemasan dari plastik mika berukuran 14 x 9 x 6 cm, diberi perforasi sebanyak 4 buah berdiameter 0,8 mm. Volume kemasan 756 ml dan volume buah rata-rata 553,18 ml. Label indikator berukuran 2 x 1 cm diletakkan dibagian dalam tutup kemasan. Etilen yang dihasilkan oleh alpukat dapat merubah warna label indikator pada kemasan. Perforasi kemasan membuat perubahan warna label indikator lebih terlihat. Pada kemasan tanpa perforasi terdapat uap air yang tertahan di label indikator membuat label basah dan robek. Perubahan nilai oHue label indikator lebih berkolerasi atau memiliki hubungan dengan perubahan kekerasan (r = -0,42) dibanding nilai TPT (r = 0,071). Pada suhu penyimpanan rendah (13±2°C), korelasi nilai oHue dengan kekerasan sangat rendah r = 0,059). Dari hasil tersebut disarankan aplikasi label indikator kematangan buah alpukat sebaiknya digunakan pada penyimpanan suhu ruang dengan kemasan yang diberi perforasi.The level ripeness of the avocado was not so easy to know because it not marked with change in color. Consumers generally squeeze the fruit to ensure the level of maturity, therefore a ripe indicator label is needed so that the fruit is not damaged due to frequent pressure. The purpose of this research was to design avocado retail packaging which is equipped with an indicator of fruit maturity. The research was carried out in the following stages: preparation of avocados, production of color indicator matrices made from KMnO4 and Molybdate, selection of retail packaging for 2 pieces per package, application of indicator labels on packaging, storage at room temperature (T1) and low temperature (T2). The packaging is given perforation (P1) and without perforation (P2). The parameters measured were respiration rate, color change of indicator label, hardness and TDS (Total Dissolved Solids) of avocado. The packaging was designed for two avocados weighing 0.5 kg per pack. The packaging material was made of mica plastic measuring 14 x 9 x 6 cm, given perforations of 4 pieces with a diameter of 0,8 mm. the packaging surface area was 528 cm2. The volume of packaging was 756 ml and the average volume of fruit was 553,18 ml and volume of free was 202,82 ml (all sample). The indicator label measuring 2 x 1 cm was placed in the packaging lid. Ethylene produced by avocado could change the color of the indicator label on the packaging. Packaging perforations made the color change of the indicator label more noticeable. On the packaging without perforation there was moisture retained on the indicator label making the label wet and torn. The changes in the oHue value of the indicator label were more correlated (with the change in hardness (r = -0,42) than the value of the TPT (r = 0,071). At low storage temperatures (13±2°C), the correlation of oHue value with hardness was very low (r = 0,059). From these results, it was recommended that the application of avocado ripeness indicator labels should be used at room temperature storage with perforated packaging.torage with perforated packaging
Pengaruh Suhu Awal Dan Derajat Penyangraian Terhadap Sifat Fisikokimia Dan Citarasa Kopi Arabika Solok
Proses penyangraian adalah salah satu proses sekunder dalam pengolahan kopi. Variabel yang digunakan pada saat proses penyangraian beragam diantaranya adalah suhu awal dan derajat penyangraian. Penelitian ini bertujuan untuk menganalisis sifat fisikomia dan melakukan uji citarasa terhadap kopi Arabika Solok dengan perlakuan suhu awal dan derajat penyangraian yang berbeda. Penelitian diawali dengan melakukan analisis sebelum sangrai, melakukan penyangraian dengan suhu awal 180oC, 200oC dan 220oC pada setiap derajat sangrai ringan (light), sedang (medium) dan gelap (dark) serta melakukan pengujian terhadap sifat fisikokimia dan citarasa kopi Arabika Solok. Analisis data yang dihasilkan menggunakan Analisis of Variance (ANOVA) dua arah dan jika menghasilkan pengaruh yang signifikan dilanjutkan dengan uji Duncan’ Multiple Range Test (DMRT). Hasil penelitian menunjukkan bahwa suhu awal penyangraian hanya mempengaruhi sifat rendemen, atribut flavour dan aftertaste, sedangkan derajat penyangraian berpengaruh signifikan terhadap beberapa sifat fisikokimia diantaranya rendemen, densitas kamba, kadar air, warna, keasaman (pH) dan beberapa atribut citarasa diantaranya fragrance, flavour, acidity, body, aftertaste, sweetness dan overall dan tidak ada interaksi antara kedua variabel terhadap semua sifat yang diuji. Sifat fisikokimia dan citarasa yang tidak terpengaruh suhu awal dan derajat penyangraian adalah kadar abu, aktivitas antioksidan, balance, uniformity, dan clean cup. Kopi dengan perlakuan derajat sangrai medium mendapatkan skor akhir tertinggi yaitu 82,3 (specialtyRoasting process is one of the processes in secondary processing. Variables used during the roasting process include the initial temperature and the degree of roasting. This study aims to analyze the physicochemical properties and perform taste tests on Arabica Solok coffee with different initial temperatures and roasting degrees. The study begans with the analysis before roasting, then roasting with the initial temperature of 180οC to 200οC and 220οC at any degree of roasting light, medium and dark and for the last, testing of the physicochemical and taste properties of Solok Arabica coffee. Analysis of the resulting data using two-way Analysis of Variance (ANOVA) and if it gives a significant effect, then continued with the Duncan\u27 Multiple Range Test (DMRT). The results showed that the initial roasting temperature only affected the yield, flavor and aftertaste attributes . While the degree of roasting has a significant effect on several physicochemical properties including yield, bulk density, water content, color, acidity (pH) and several taste attributes including fragrance, flavor, acidity, body, aftertaste, sweetness and overall and there is no interaction between two variables on all tested properties. The physicochemical properties and taste attributes that were not affected by the initial temperature and roasting degree were ash content and antioxidant activity, balance, uniformity, and clean cup. Coffee with medium roasting degree treatment got the highest final score of 82,3 (specialty