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All Journal Jurnal Teknologi Industri Pertanian EKSAKTA: Journal of Sciences and Data Analysis Teknotan: Jurnal Industri Teknologi Pertanian Jurnal Keteknikan Pertanian Jurnal Peternakan Indonesia Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Dampak agriTECH Jurnal Sains dan Teknologi Pangan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian AGRITEKNO, Jurnal Teknologi Pertanian Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Hilirisasi IPTEKS (JHI) Buletin Ilmiah Nagari Membangun Jurnal Teknologi Pertanian Andalas Agroteknika Jurnal Karya Abdi Journal of Social Research Journal of Applied Agricultural Science and Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Journal of Fibers and Polymer Composites Jurnal Agro Fabrica Rona Teknik Pertanian GreenTech
- Andasuryani
Universitas Andalas
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KAJIAN EDIBLE COATING PATI BIJI NANGKA TERHADAP MUTUBUAH JAMBU BIJI (Psidium guajava L.) Ifmalinda, Ifmalinda; Anggraini, Ramah; Andasuryani, Andasuryani
Jurnal Teknologi Pertanian Andalas Vol 28 No 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.28.2.173-182.2024

Abstract

Jambu biji (Psidium guajava L.) merupakan salah satu produk hortikultura yang dapat hidup di daerah tropis dan memiliki nilai ekonomis cukup tinggi. Jambu biji adalah buah yang cepat mengalami kerusakan setelah panen, sehingga diperlukan penanganan pasca panen yang dapat mempertahankan mutu produk seperti dengan memberikan pelapis. Pelapis yang digunakan yaitu edible coating berbasis pati biji nangka. Pati biji nangka digunakan sebagai bahan edible coating karena mengandung pati yang cukup tinggi yaitu 83,97% dengan kandungan amilosa 21,82% dan amilopektin 62,15%. Penelitian ini bertujuan untuk mengkaji dan menentukan konsentrasi terbaik pati biji nangka terhadap mutu buah jambu biji. Penelitian ini menggunakan eksperimen Rancangan Acak Lengap (RAL) dengan faktor yaitu konsentrasi pati biji nangka. Berdasarkan hasil penelitian menunjukkan bahwa edible coating pati biji nangka mampu mempertahankan mutu buah jambu biji dengan lama penyimpanan 10 hari. Konsentrasi pati biji nangka 1,1% merupakan perlakuan terbaik. Nilai pengamatan yang diperoleh dari perlakuan terbaik yaitu susut bobot 1,5605, kadar air 84,547%, kekerasan 30,733 N/cm2, total padatan terlarut 7,133°Brix dan uji warna 111,503.
PREDIKSI TINGKAT KEMATANGAN TANDAN BUAH SEGAR (TBS) KELAPA SAWIT BERBASIS SIFAT OPTIS Sinambela, Juli Arifiansyah; Cherie, Dinah; Andasuryani, Andasuryani; Makky, Muhammad
Jurnal Teknologi Pertanian Andalas Vol 29 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.29.1.33-40.2025

Abstract

Kelapa Sawit sebagai sumber utama minyak nabati yang memiliki potensi yang cukup besar dalam meningkatkan perekonomian dan kesejahteraan sosial bagi masyarakat. Keberhasilan dari produksi minyak kelapa sawit dipengaruhi oleh kualitas Tandan Buah Segar (TBS) yang akan diolah. TBS Sawit yang memiliki kualitas yang sesuai standar akan menghasilkan minyak sawit yang berkualitas. Salah satu faktor yang mempengaruhi kualitas minyak sawit adalah penentuan tingkat kematangan TBS Sawit sebelum memasuki pengolahan. Tujuan dari penelitian ini untuk mengidentifikasi kematangan TBS sawit saat grading pada loading ramp berdasarkan sifat optis TBS Sawit. Penentuan tingkat kematangan berdasarkan sifat optis saat grading dilakukan dengan menggunakan metode  k-means clustering. Penentuan berdasarkan sifat optis berupa nilai warna RGB dan HSV. Nilai RGB pada TBS sawit mentah didapatkan sebesar 82,790; 67,114 dan 62,530 sedangkan TBS sawit matang sebesar 131,381; 84,633 dan 72,137. Sedangkan nilai warna HSV pada TBS sawit mentah sebesar 68,118; 24,375 dan 32,516 dan TBS matang sebesar 25,583; 44,723 dan 51,522. Hasil yang diperoleh didapatkan seluruh komponen warna memiliki pengaruh terhadap penentuan kematangan TBS sawit. Hal ini dibuktikan dengan nilai sigfikansi kurang dari 0,05. Pengujian dari penentuan Tingkat kematangan TBS sawit menghasilkan akurasi 86 % dengan Tingkat kesalahan sebesar 14 %.
ANALISIS PENGARUH DAUN GAMAL (Gliricida sepium) DAN DAUN PISANG PADA PROSES PERCEPATAN PEMATANGAN TERHADAP MUTU BUAH PISANG CAVENDISH (Musa acuminata Cavendish) Ifmalinda, Ifmalinda; Mutiara Helmi, Annisa; Andasuryani
Jurnal Teknologi Pertanian Andalas Vol 29 No 2 (2025)
Publisher : Universitas Andalas

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Abstract

Cavendish bananas have great potential and are widely cultivated and consumed by the community, both processed and raw. A good banana is a banana that is ripe while it is still on the tree, but many farmers pick the bananas when they are not ripe. The harvested fruit will ripen without ripening with uneven ripeness and the resulting color is not attractive, therefore ripening is carried out. The ripening materials used are gamal leaves and banana leaves because it contains ethylene which functions in the fruit ripening process and is free from chemicals. The purpose of this study was to determine and analyze the best type of ripening material for the quality of Cavendish Banana (Musa acuminata Cavendish). The method used was the Completely Randomized Design experimental method with 1 factor, namely the type of ripening material such as gamal leaves and banana leaves. The ratio of gamal leaves used was 30%, 40%, and 50%, while the ratio of banana leaves was 30%, 40%, and 50%. Based on the results of the study, the ripening material had a significant effect on the quality of Cavendish Bananas. The ratio of gamal leaves of 50% is the best ripening material for the quality of Cavendish Bananas with a weight loss value of 1.035%, hardness of 31.328 (N/cm2), total dissolved solids of 12.936°Brix, water content of 71.674%, color (light) of 22.661, and color (hue) of 37.934.
INOVASI PRODUK GULA MERAH TEBU PADA KSU-ED TABEK, NAGARI TALANG BABUNGO Andasuryani, Andasuryani; Adrizal, Adrizal; Chandra, Alhapen Chandra
KARYA ABDI Vol 3 No 2 (2022): Article
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/karyaabdi.v3i2.2223

Abstract

The molding process using coconut shells created unstandardized brown sugar in terms of shape and size, less competitive, limited market by Koperasi Serba Usaha Ekonomi Desa (KSU ED) Tabek. This activity aimed to motivate KSU-ED Tabek to produce brown sugar, which has a different and attractive appearance. The activity was carried out in the form of lectures, discussions, and demonstrations, starting from providing the molding equipment, introducing several innovations of brown sugar shape and size, product innovation by adding spices, and demonstration of packaging of brown sugar for members of KSU-ED Tabek. During the activity, members of KSU-ED Tabek showed a positive response which was shown by their enthusiasm in discussing various innovations in mold shapes and sizes, product flavor innovations, and brown sugar packaging. This community service activity has could increase the innovative and creative spirit of KSU-ED Tabek members in developing brown sugar businesses.
PENDUGAAN MUTU BIJI KEDELAI BERDASARKAN SIFAT AKUSTIK PADA VARIASI TINGKAT KADAR AIR Agustoria, Khairil; Andasuryani
Jurnal Teknologi Pertanian Andalas Vol 29 No 2 (2025)
Publisher : Universitas Andalas

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Abstract

This study aims to estimate the quality of soybean seeds based on their acoustic properties at different moisture content levels as a rapid and non-destructive evaluation method. An experimental setup was developed using a sorting machine equipped with a microcontroller and an LM393 sound sensor to capture acoustic signals generated from the impact of soybean seeds on a reflector plate. The tested moisture contents were 10.65%, 13.65%, 16.65%, 19.65%, and 22.65%, in accordance with the SNI 01-3922-1995 standard. The results indicated that moisture content significantly affected the acoustic response of soybean seeds. As the moisture content increased, the detected acoustic voltage decreased. At the lowest moisture level (10.65%), the average amplitude was 3.617 mV, whereas at the highest moisture level (22.65%), it decreased to 3.135 mV. This reduction is attributed to the increase in seed elasticity (Modulus of Elasticity, MOE) caused by water absorption, which elevates the sound absorption coefficient and consequently reduces the propagation velocity of sound waves within the seeds. Statistical analysis confirmed that the differences in acoustic values among moisture levels were significant (P < 0.05). These findings suggest that acoustic properties can serve as an effective indicator for assessing soybean seed quality based on moisture content variation. Keywords: acoustics; amplitude; moisture content; soybean.
Penentuan Daerah Sentra Produksi Jagung (Zea mays L.) di Kabupaten/Kota Provinsi Sumatera Barat dengan Metode K-Means Clustering Santosa, Santosa; Andasuryani, Andasuryani; Pebrianto, Saddam; Prasmadika, Raihan M. Deri
GreenTech Vol. 2 No. 2 (2025)
Publisher : Departmen Of Agro-industrial Technology, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/greentech.v2i2.56

Abstract

Jagung (Zea mays L.) merupakan komoditas pangan strategis yang berperan penting dalam ketahanan pangan dan industri. Provinsi Sumatera Barat memiliki potensi besar dalam pengembangan komoditas ini, namun persebaran produksi yang tidak merata memerlukan identifikasi wilayah sentra produksi yang tepat. Penelitian ini bertujuan untuk menentukan daerah-daerah potensial sebagai sentra produksi jagung dengan menerapkan metode K-Means Clustering. Data yang digunakan merupakan data sekunder tahun 2017–2022 dari 19 kabupaten/kota, mencakup lima variabel: luas panen, produksi, produktivitas, ketinggian wilayah, dan curah hujan. Metode Elbow digunakan untuk menentukan jumlah klaster optimal. Hasil analisis menunjukkan bahwa beberapa daerah secara konsisten berada dalam klaster dengan nilai di atas rata-rata, antara lain Kabupaten Pasaman Barat, Agam, Pesisir Selatan, Pasaman, dan Solok Selatan. Penelitian ini memberikan informasi berbasis data yang berguna dalam perencanaan pengembangan jagung secara spasial di Provinsi Sumatera Barat.
Application NIR Spectroscopy for Prediction Soluble Solids Content and Classification of Tomatoes During Storage Andasuryani, Andasuryani; Maulana, Raisal; Cherie, Dinah
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.653-666

Abstract

Tomatoes are a horticultural commodity that is highly susceptible to quality degradation after harvest; therefore, appropriate postharvest handling is required to maintain quality. This study aims to evaluate the potential of near-infrared (NIR) spectroscopy for assessing tomato quality by applying partial least squares (PLS) to predict soluble solids content (SSC) and linear discriminant analysis (LDA) for classification based on storage temperature and ripeness level, with SNV pretreatment. Tomato samples were stored at 10 °C and 28 °C and observed at the breaker and pink ripeness stages. The best PLS model was obtained with SNV pretreatment and 10 latent variables, yielding R² calibration = 0.89, RMSEC = 0.19°Brix, R² prediction = 0.80, and RMSEP = 0.26 °Brix. The RPD value of 2.04 and the RER of 8.08 indicate that the model has a good predictive ability for evaluating tomato SSC. Meanwhile, LDA distinguished storage temperature better (accuracy 89.13%) than ripeness level (accuracy 65.21%). These results demonstrate that NIR spectroscopy can be used as an effective nondestructive method for analyzing the SSC of tomatoes during storage, reflecting the levels of sugars, organic acids, and other soluble compounds that contribute to the taste and overall fruit quality. Keywords: NIR Spectroscopy, Soluble Solids Content, Storage Temperature, Ripeness Level, Tomato.
Effect of Different Drying Temperatures on the Physicochemical Properties of Sago Starch-Bacterial Cellulose Film Incorporated with Gunuang Omeh Orange Essential Oil Anantama, Maulana Yuda; Hafizulhaq, Fadli; Andasuryani, Andasuryani
Journal of Fibers and Polymer Composites Vol. 5 No. 1 (2026): Journal of Fibers and Polymer Composites
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jfpc.v5i1.572

Abstract

Extensive and irresponsible use of conventional plastic has brought serious problems to the planet due to its low biodegradability. In order to reduce the risks, packaging materials made from biodegradable materials are extremely needed. This study develops active packaging films using sago starch and bacterial cellulose incorporated with Gunuang Omeh orange peel essential oil. It also evaluated the effect of different drying temperatures on the physicochemical, mechanical, structural, and antimicrobial properties of the resulting films. The solvent casting method was used to prepare sample films with 3 drying temperatures (40, 45, and 50°C). The functional properties and antibacterial activity against E. coli and S. aureus of films with and without essential oil were characterized and analyzed. The results showed that drying temperature significantly influences the performance of the biofilms. Higher tensile strength (2.38 MPa) and lower moisture absorption were found at 45°C dried films. The presence of essential oil slightly increased water solubility and improved antibacterial activity, with inhibition zones ranging from 7.70–15.77 mm against E. coli and 4.83–5.75 mm against S. aureus. In conclusion, sago starch–bacterial cellulose films incorporated with Gunuang Omeh orange essential oil demonstrate a future potential as eco-friendly packaging materials, with drying temperature identified as a critical processing parameter for optimizing functional performance.
Orange Classification using Naïve Bayes and K-Nearest Neighbor Algorithms based on Its Physical Properties Hafizulhaq, Fadli; Andasuryani, Andasuryani
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 1, April 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss1.art5

Abstract

Oranges are among the most widely consumed fruits globally. While many farmers possess extensive knowledge of orange cultivation, they often lack expertise in post-harvest handling and processing. Classification or grading is a crucial step after harvest to ensure quality. Machine learning offers an efficient solution for automating this process and decreasing the time consumed. This study implements two machine learning algorithms, Naïve Bayes and K-Nearest Neighbor, to classify Gerga oranges based on different training-to-test data ratios (75:25, 50:50, and 25:75). The results indicate that as the training data decreases, the accuracy of Naïve Bayes improves, but its precision declines, whereas K-Nearest Neighbor exhibits the opposite trend. The best accuracy (90% accuracy) was produced by NB-25 and KNN-75. Meanwhile, precision and recall value were more important in order to reduce economic losses and buyer dissatisfaction, so that users can profit more. In this case, the KNN-75 model is the best to classify Gerga oranges into theright groups (85% precision, 91% recall). Despite the differences in class importance, KNN offers a steadier and more balanced outcome for both sides of the dataset. KNN is also more reliable to handle many number of samples in real practice when the model is used to design sorting or grading machines for oranges.
Co-Authors Afifah Khainur Ahmad Fudholi Alhapen Ruslin Chandra Alifia Safmi, Nadilla Anantama, Maulana Yuda Anggraini, Ramah Ashadi Hasan Azrifirwan, Azrifirwan Benni Satria Chandra, Alhapen Chandra Cherie Dinah, Cherie D. Anggraini Dea Permata Sari Edo Saputra Esvendiarmi, Rola Fachri Ibrahim Nasution Fadli Hafizulhaq Fadli Irsyad Feri Arlius Ferry Lismanto Syaiful Fitri, Khairunnisa Genni Deea Solehia Halimatus Syahdia Hasibuan Harjuniati, Weni Husein Lubis Ifmalinda Intan Pratiwi Irriwat Putri J P Geraldo Khairani, Lisma Khairil Agustoria Khairunnisa Fitri Khandra Fahmy Lii Shaufana Liza Mardalena Luciana Luthan Maulana, Raisal Muhammad Iqbal Abdi Lubis Muhammad Makky Mutiara Helmi, Annisa N. Novita nas, syafiyata asrarin Neswati Neswati Nofialdi, Nofialdi Nofialdi, Nofialdi Nurluthfi Putra Pardede, Hafna Mulyana Pebrianto, Saddam PERDANA PUTERA Prasmadika, Raihan M. Deri Rahmi Fauziah, Rahmi Renny Eka Putri, Renny Eka Saddam Pebrianto Sandra Sandra Santosa - Santosa Santosa Santosa Santosa Santosa Santosa Sari, Cindy Fatika Sinambela, Juli Arifiansyah Sri Aulia Novita syafiyata asrarin nas Syafiyata Asrarin Nas Syahyan Raesi Tri Rahayuningsih Yanti, Delvi Yudhytia Wimeina Yurniwati Yurniwati