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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
Univeritas Andalas
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Evaluation of Catechin Content in Gambir Leaf Herbal Tea Using NIR Spectroscopy with PLS and MLR Andasuryani Andasuryani; Santos Santos; Ifmalinda Ifmalinda
Jurnal Keteknikan Pertanian Vol. 14 No. 1 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.1.64-80

Abstract

Several factors, including drying duration, leaf maturity level, and drying temperature, can influence the catechin content of gambir herbal tea. Therefore, evaluating the quality of gambir herbal tea is essential. The commonly used method involves laboratory chemical analysis, which is destructive, generates chemical waste, and requires considerable time. The objective of this study was to develop an NIR model capable of rapidly, nondestructively, and environmentally friendly predicting the catechin content of gambir herbal tea. The reflectance of herbal tea samples was measured using a Büchi NIRFlex N500 spectrophotometer over 1000–2500 nm. The catechin content was determined through chemical analysis using ethanol as the solvent. Spectral data were calibrated against the actual catechin values using Partial Least Squares (PLS) and Multiple Linear Regression (MLR) in The Unscrambler X software. The pretreatments applied included Standard Normal Variate (SNV), Multiplicative Scatter Correction (MSC), and Baseline correction. The best model was obtained using the MLR method combined with MSC pretreatment, yielding Rc² = 0.91, Rp² = 0.92, RMSEC = 1.78, RMSEP = 1.79, SEC = 1.69, SEP = 1.77, RPD = 3.44, and RER = 10.77. The PLS model with Baseline pretreatment also produced reliable predictions with Rc² = 0.93, Rp² = 0.89, RMSEC = 1.50, RMSEP = 2.09, SEC = 1.52, SEP = 2.08, RPD = 3.00, and RER = 9.56. This study successfully developed an NIR model capable of predicting catechin content in gambir leaves herbal tea with strong predictive 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.
Portable Vis–NIR Spectroscopy Using AS7265X for Detecting Carbide-Ripened Cavendish Bananas Nurul Hanisah; Ifmalinda Ifmalinda; Andasuryani Andasuryani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.543-553

Abstract

Cavendish banana (Musa acuminata Cavendish) is one of the horticultural crops whose ripening is often accelerated using calcium carbide (CaC₂), which is harmful to health, thus requiring a scientific method to distinguish natural and artificial ripening. This study aimed to examine the potential of Visible–Near Infrared (Vis-NIR) spectroscopy using the AS7265X multispectral sensor, operating at 410–940 nm, which is portable and more affordable than a laboratory spectrophotometer. A total of 120 samples were used, consisting of 90 unripe (stage 2) and 30 naturally ripened (stage 6) bananas. Linear Discriminant Analysis (LDA) was employed to classify the spectral data, achieving a classification accuracy of 100%. The Vis-NIR spectral patterns showed apparent differences among treatments. Unripe bananas had high reflectance in the blue–green region, while tree-ripened bananas showed increased reflectance in the red and NIR regions. The 64 g/kg carbide treatment yielded a spectral pattern resembling natural ripening, whereas the single lump carbide treatment showed lower reflectance values across most wavelengths. These findings confirmed the potential of the AS7265X sensor to efficiently and non-destructively distinguish between natural and artificial ripening. Practically, this suggests that low-cost, portable sensors can be effectively deployed for real-time field inspection and quality control within the fruit supply chain. Future study need to validate the method using larger and independent datasets.
PEMBERDAYAAN MASYARAKAT MELALUI PENERAPAN TEKNOLOGI BIOGAS Renny Eka Putri; Andasuryani Andasuryani; Feri Arlius; Santosa Santosa; Azrifirwan Azrifirwan; Irriwat Putri
Jurnal Hilirisasi IPTEKS Vol. 2 No. 4.b (2019)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v2i4.b.358

Abstract

Kurangnya pengetahuan masyarakat tentang pemanfaatan limbah pertanian dan peternakan menyebabkan masih banyak masyarakat tidak memanfaatkan kotoran ternak dan limbah pertanian yang sangat melimpah untuk dijadikan bahan bakar alternatif. Kegiatan ini bertujuan untuk meningkatkan keterampilan masyarakat tani dalam memanfaatkan limbah pertanian yang ada di kawasan limau manis. Khalayak sasaran dari kegiatan ini adalah peternak sapi yang memiliki 4 ekor sapi di rumahnya di kawasan Limau Manis kampus Universitas Andalas. Kegiatan ini dilakukan dengan beberapa tahapan meliputi pembuatan alat, penyuluhan, praktik teknologi dan pendampingan. Kegiatan ini juga melibatkan mahasiswa, di mana mahasiswa sebagai salah satu kelompok masyarakat yang dapat melakukan perubahan yang lebih cepat dalam usaha menciptakan masyarakat yang lebih sejahtera dan makmur. Kegiatan ini juga melalui pendekatan pada petani untuk menumbuhkan dan meningkatkan motivasi untuk memanfaatkan limbah yang selama ini dibuang. Penerapan teknologi biogas bagi petani yang memiliki peternakan dapat memberikan keuntungan ekonomis apabila dilakukan teknik yang tepat dari segi rancangannya. Rancangan teknis meliputi: desain biodigester, desain penyaluran gas dan desain tangki penampung. Kegiatan ini telah berhasil memberikan pengetahuan pada petani dalam pemanfaatan limbah Hasil dari kegiatan ini adalah telah dibuat instalasi biogas dengan kotoran sapi telah berhasil dilakukan dengan terbentuknya gas dan kompor yang sudah dapat digunakan, dan pupuk cair yang dihasilkan telah digunakan sebagai pengganti pupuk kimia pada tanaman cabe.
PENERAPAN ADMINISTRASI DAN MANAJEMEN KEUANGAN SERTA PEMASARAN DIGITAL BAGI UMKM GARURI DI KOTA PADANG Benni Satria; Syahyan Raesi; Neswati Neswati; Andasuryani Andasuryani; Ferry Lismanto Syaiful; Yurniwati Yurniwati
Jurnal Hilirisasi IPTEKS Vol. 5 No. 2 (2022)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v5i2.576

Abstract

This activity aims to provide skills and abilities related to establishment permits, preparation of Financial Reports, and digital marketing of Garuri Micro Small And Medium Enterprises (SMEs). Garuri (Gaharu of the Republic of Indonesia is a business unit engaged in herbal tea business made from gaharu Garuri is included in the Micro, Small, and Medium Enterprises group, where MSMEs have the following problems: 1) Having a makeshift business place; 2) Unable to access funding in financial institutions; 3) Low entrepreneurial ability; 4) Low business management ability; 5) The level of general education is relatively low; 6) Lack of access to markets; 7) Access to licensing is low 8) Access to technology and information is low. Solving the problems of SMEs above is carried out in stages. The legality of a business license is one of the essential things for business actors. In addition, it is necessary to improve financial management and digital marketing ability. For that, it is necessary: (1). assistance is provided in manufacturing Business Identification Numbers for SMEs instead of SIUP for PT, and (2) financial management and digital marketing training. The methods used by the Universitas of Andalas and Assistance Team for Garuri SMEs are (1) Socialization of online and offline mentoring activities and FGDs; (2) Presentation, (3) Assistance in Data Input, and (4) Monitoring and Evaluation. Assistance in obtaining business permits (NIB) for Garuri SMEs and training in financial management and digital marketing. The results of activities are (1). MSME Garuri already has a business license, (2) assistance to MSMEs has been carried out to improve administration and financial management by filling out a business financial recording application issued by Bank Indonesia under the name SIAPIK; 3. MSME Garuri has created an account to market its products on social media.
Co-Authors Afifah Khainur Ahmad Fudholi Alhapen Ruslin Chandra Alifia Safmi, Nadilla 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 Irriwat Putri J P Geraldo Khairani, Lisma Khairil Agustoria Khairunnisa Fitri Khandra Fahmy Lii Shaufana Liza Mardalena Luciana Luthan Maulana Yuda Anantama Muhammad Iqbal Abdi Lubis Muhammad Makky Mutiara Helmi, Annisa N. Novita nas, syafiyata asrarin Neswati Neswati Neswati Neswati Nofialdi, Nofialdi Nofialdi, Nofialdi Nurluthfi Putra Nurul Hanisah Pardede, Hafna Mulyana Pebrianto, Saddam PERDANA PUTERA Prasmadika, Raihan M. Deri Rahmi Fauziah, Rahmi Raisal Maulana Renny Eka Putri, Renny Eka Saddam Pebrianto Sandra Sandra Santos Santos Santosa Santosa Santosa Santosa Santosa Sari, Cindy Fatika Sinambela, Juli Arifiansyah Sri Aulia Novita syafiyata asrarin nas Syafiyata Asrarin Nas Syahyan Raesi Syahyan Raesi Tri Rahayuningsih Yanti, Delvi Yudhytia Wimeina Yurniwati Yurniwati