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All Journal Journal of Applied Agricultural Science and Technology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Pertanian Andalas Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Agricultural and Natural Sciences Journal of Applied Agricultural Science and Technology Jurnal Al Karim : Jurnal Pendidikan, Psikologi dan Studi Islam Andalasian International Journal of Social and Entrepreneurial Development Rona Teknik Pertanian
Muhammad Makky
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences 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 %.
Mini Cutting Force Sensor: A Novel Approach for Predicting Cutting Forces of Agricultural Products Putri, Irriwad; Putri, Renny Eka; Makky, Muhammad; Santosa, Santosa
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 14, No 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.645-656

Abstract

Innovation in agricultural mechanization is crucial for the sustainable development of agricultural machinery in Indonesia. This study aims to design and develop a cutting force measurement device for agricultural products. The device consists of a mechanical system utilizing a linear actuator (5.88 mm/s) as a blade pusher and a control system employing a load cell as a force sensor. Testing was conducted using three blade types with cutting angles of 10°, 15°, and 20° on taro, chayote, and papaya. Measurement data were displayed as graphs on an LCD and stored as XLS files on an SD card. The tested materials had moisture content ranging from 85% to 95%. Results showed that taro required the highest cutting force (74.3 N), followed by chayote (39.77 N) and papaya (31.1 N), corresponding to their hardness and moisture content. In contrast, the highest cutting speed was observed in chayote (6.1 mm/s), followed by papaya (5.8 mm/s) and taro (3.5 mm/s) using a 20° blade. These findings confirm that harder materials with lower moisture content require greater cutting force than softer materials with higher moisture content. Keywords: Controller, Cutting force, Load cell, Mechanization, Small-scale.
Non-Destructive Evaluation of Oil and Free Fatty Acid Content of Oil Palm Fresh Fruit Bunch Based on Thermal Properties Using Partial Least Square (PLS) Monica Guspa; Muhammad Makky; Santosa Santosa; Dinah Cherie
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.772-781

Abstract

Indonesia is the largest producer of palm oil in the world, contributing 59 % of global production in 2022. The palm oil industry is a pillar of the economy and a source of foreign exchange through agricultural exports. To increase productivity and global competitiveness, strategies are needed, including improving cultivation technology and determining optimum harvest times through the application of appropriate cultivation technology. This research aims to increase oil palm productivity by focusing on the harvest time of Fresh Fruit Bunches (FFB). The sample used was Tenera variety palm FFB with two levels of ripeness, namely 140-160 DAP and 200-220 HSP. Non-destructive technology can accurately measure the optimum ripeness level of FFB. This approach uses thermal camera technology for nondestructive evaluation, recording the intensity of infrared radiation from TBS. All measurement parameters resulting from thermal image processing (RGB, L*a*b and temperature) will be used as input variable data to be modeled with oil content free fatty acid data in the laboratory. The model design will be built using the Principal Component Analysis (PCA) and Partial Least Square (PLS) methods. The results showed that the coefficient of determination (R2) for oil content was 0.8681 and free fatty acid content was 0.786. Keywords: FFB, Nondestructive, Oil content, PLS, Thermal properties
SUITABLE PACKAGING CONCEPT FOR SUNGKAI LEAVE HERBAL TEA PRODUCED BY THE INDEPENDENT AGRICULTURAL AND RURAL TRAINING CENTRE “SUNGKAI PERMAI” Syukri, Daimon; Rini, Rini; Makky, Muhammad
Andalasian International Journal of Social and Entrepreneurial Development Vol. 2 No. 01 (2022): Andalasian International Journal of Social and Entrepreneurial Development
Publisher : Institute of Research And Community Service, Andalas University / LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijsed.v2.i01.1-4.2022

Abstract

Background: Sungkai leave herbal tea produced by The Independent Agricultural and Rural Training Centre “Sungkai Permai” need to be expanded by packaging improvement. Methodology: The concept of packaging for herbal tea has been developed by the team from Andalas University. The basic design and brand for the herbal tea has proposed and produced in order to enhance the satisfaction of consumers to existing tea. Conclusion: The Independent Agricultural and Rural Training Centre “Sungkai Permai) was impressed for the packaging concept of their Sungkai leave herbal tea. “Teh Sehat Sungkai” is the brand that was created for the herbal tea product. Moreover, the utilization of ivory box include with the design was also introduce to the The Independent Agricultural and Rural Training Centre “Sungkai Permai). Further development is needed for increasing the acceptance of consumers to the Sungkai leave herbal tea product.
Improving graphic design skills for HR Center for Self-Help Agriculture and Rural Training (P4S) "Sungai Permai" Lambung Bukit sub-district, Pauh District, West Sumatra Syukri, Daimon; Rini, Rini; Makky, Muhammad; Halwa, Haniyatul; Dina, Mivtahul
Andalasian International Journal of Social and Entrepreneurial Development Vol. 2 No. 02 (2022): Andalasian International Journal of Social and Entrepreneurial Development
Publisher : Institute of Research And Community Service, Andalas University / LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijsed.v2.i02.13-16.2023

Abstract

In order to increase the promotion of activities and products resulting from the activities of the Self-Help Agriculture and Rural Training Center (P4S) “Sungai Permai” in the Lambung Bukit sub-district, Pauh District, West Sumatra, graphic design training was conducted for one of the members of the farmer group. The training carried out is an introduction and oreration of Corel Draw. The training was carried out for one month involving students from the Department of Food Technology and Agriculture at Andalas University. This training activity can increase the HR capacity of the "Sungai Permai" (P4S) group, which in the future it is hoped that this group will be more independent in terms of developing business and product promotion designs so that they can develop even better.
Water Stress Influence For Tomato (Solanum Lycopersicum) Production Rusnam, Rusnam; Surya, Ridho Adi; Makky, Muhammad
Andalasian International Journal of Agriculture and Natural Sciences (AIJANS) Vol. 2 No. 01 (2021)
Publisher : Lembaga Penelitian dan Pengabdian, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.91 KB) | DOI: 10.25077/aijans.v2.i01.25-37.2021

Abstract

Tomato, also known as Solanum lycopersicum, is one of the horticultural commodities that have a good priority to be developed. Tomato production in Indonesia has decreased over five decades. This lack of production is caused by the limitation of water supply during the dry season as to effect of its rooting. One of the ways of ensuring water supply is using an irrigation system, including drip irrigation. The use of drip irrigation will save a lot of water, but the allocation of water to be given will cause to salinity. This phenomenon requires actions to control the water for tomato production. Research in this area is being carried out in the subdistrict of Lubuk Kilangan, Padang City. The current study observes the effect of salinity on the amount of leaf, the productivity, and the sweetness of the tomato fruit. Based on the results, the efficiency of drip irrigation is around 96.28%, and there is no real effect of salinity on the amount of leaf. Additionally, salinity does not affect productivity. The highest productivity is on the treatment of giving water at -15%, amounting to 2.30 kg, and the lowest is at -5%, amounting to 1.72%. Salinity increases the sweetness of tomato, and the highest sweetness level is on the treatment of giving water at -20%, amounting to 5.6600 Brix, and the lowest sweetness level is at the control treatment, amounting to 5.1100 Brix.
Non-Destructive Evaluation Quality of Oil Palm Fresh Fruit Bunch (FFB) (Elaeis guineensis Jacq.) Using Thermal Imaging in the Grading Process Sirtin, Ardillah Anggraini; Makky, Muhammad; Santosa, Santosa; Cherie, Dinah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 03 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss03/611

Abstract

Determining the quality of oil palm Fresh Fruit Bunches (FFB) quickly and accurately is very important in the grading process to ensure the quality of production results and the efficiency of the post-harvest process. This study aims to evaluate the quality of oil palm FFB non-destructive using thermal image technology, focusing on two main parameters: moisture content and oil content. The oil palm FFB used was the Tenera variety. Thermal characteristic data were obtained from the RGB pseudo color thermal images and the oil palm FFB temperature. The model obtained using Artificial Neural Network (ANN) showed that the calibration model for moisture content produced a linear regression equation y = 0.9826x + 0.7159 (R² = 0.9827), and for oil content y = 0.9962x + 0.0289 (R² = 0.9973). At the validation stage, the moisture content prediction model gave y = 0.9056x + 10.721 (R² = 0.8908), and oil content y = 0.7683x + 1.6494 (R² = 0.8567). These results indicated that thermal imaging technology has great potential as an efficient and accurate non-destructive method in evaluating the quality of oil palm FFB, especially in supporting a more objective and sustainable grading system.  
Co-Authors - Andasuryani Alfian Zein Ardi Ardi Astri Harnov Putri Azrifirwan, Azrifirwan Berri Brilliant Albar Cherie Dinah, Cherie Daimon Syukri Dina, Mivtahul Eka Candra Lina Fithra Herdian Fitri Yuwita Halwa, Haniyatul Haniyatul Halwa Hendra Hendra Heri, Deden Ifmalinda Indra Dwipa Jamaluddin Jamaluddin Khandra Fahmi Khandra Fahmy Leo Saputra Napitu Mivtahul Dina Mohamad Erihadiana, Mohamad Monica Guspa NOVRI NELLY PERDANA PUTERA Prima Fithri Putri, Irriwad Renny Eka Putri, Renny Eka Rini Rini Rini Rini RINI RINI Rusnam Rusnam Santosa Santosa Santosa Santosa Sinambela, Juli Arifiansyah Sirtin, Ardillah Anggraini Sri Aulia Novita Suaidah Rahmi Surya, Ridho Adi Vonny Indah Mutiara Yulianti Zakiah, Qiqi