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Yose Sebastian
Politeknik Negeri Lampung
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Mechanical Engineering

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Menaikkan Kadar Madu Sistem Spraying dalam Ruang Panas Harmen Harmen; Tutu Petrus Basuki; Yose Sebastian
Jurnal Ilmiah Teknik Pertanian - TekTan Vol 5 No 3 (2013)
Publisher : Jurusan Teknologi Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/tektan.v5i3.847

Abstract

Honey is the natural sweet substance produced by honey bees from the nectar of flowers plants or other parts of plants. Honey is one of the important food sources for human nutrition because it contains 82.3% carbohydrate which is much higher than other livestock products. In addition to sugar, honey also contains mineral salts, proteins, and vitamins. Honey can be broken naturally (without human treatment) if the honey has been fermented. Yeast fermentation occurs high water content (23-30%). Safe from fermented honey water content is usually 16%-21%, or ideal levels of 16-20%. The decrease in moisture content (MC) is one of the most important steps in the processing of agricultural products. The decrease in MC can be done by drying.  Principally, the drying can be done in various ways, including the provision of heat to the material drying by spraying liquid materials in high-temperature hot room is a way decreased the water content by increasing the surface area of the material that is in contact with the hot air. Drying honey with fogging (spraying) is an alternative way, in addition to other means such as drying by putting honey in the refrigerator in this case in a room air conditioner or refrigerator. The purpose of the study is the characterization test system temperature spraying in the heat chamber, the water content of honey characterization test on the spraying system in a hot room.The treatment given to the wild honey is honey squirts hot room temperature within a few levels, the levels observed were honey (%) and temperature of honey after drying. From the observations it can be seen that, the higher the lamp power given the higher heat generated. Tools have been able to raise the level of the honey, the higher the heating temperature higher levels of honey content  produced. Temperature honey received lower than a given heating temperature. Keywords: honey, spraying, hot room
Rancangbangun Alat Press Baglog Jamur Dua Silinder Dengan Penggerak Motor Listrik Fajri Husna; Fiqi Al Hidayat; Muqorrobin Muqorrobin; Yose Sebastian; Meinilwita Yulia
Jurnal Ilmiah Teknik Pertanian - TekTan Vol 7 No 3 (2015)
Publisher : Jurusan Teknologi Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/tektan.v7i3.863

Abstract

Mushrooms are plants that have a nucleus, spores, no chlorophyll and are heterotrophic. Mushrooms can not produce their own food, they get nutrition by way of absorption. Nutrients are absorbed from the mushrooms existing in the organic material in which they live (Alexopoulos and Mims, 1996). Baglog is a media into the growth of mushrooms which comprises a mixture of basic materials such as wood sawdust, rice bran, limestone and so on. The mixture will be allowed to stand for 2-3 days so that all the materials decompose properly. All the material that has decomposed properly inserted into the plastic which will then be compacted. This media must be completely solid to support the growth of mushrooms. Compaction is done by using a press baglog mushrooms (Sunarmi and Saparinto, 2010). Keywords: mushroom baglog, two cylinder, electric motor
Rancang Bangun Alat Tanam Benih Kangkung Darat (Ipomoea Raptana Poir) Nasichin Nasichin; Fajarsukoco Fajarsukoco; Duta Satria; Yose Sebastian; Meinilwita Yulia
Jurnal Ilmiah Teknik Pertanian - TekTan Vol 12 No 2 (2020)
Publisher : Jurusan Teknologi Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/tektan.v12i2.1914

Abstract

Kale spinach is a type of vegetable that is widely consumed by people in Indonesia. It’s contains protein, carbohydrates, calcium, iron, sodium, phosphorus, fiber, vitamins A and C. The kale spinach is a low-calorie vegetable. The purpose of this research is to design kale spinach seed planting tool with a semi-mechanical system which power comes from human power, this tool is operated by pulling a lever on the tool so that the tool can work. After the manufacture of kale seed planting is complete, the authors test the performance of the tool capacity, and from the results of the performance test of this tool it can be concluded that it can work well. The results of the performance test of the capacity of this tool to plant water spinach seeds with an area of 0.0005 ha takes 0.007 hours with an average speed of 0.2 m/s, the average seeds that fall per hole are 3 seeds, 98.6% efficiency, The theoretical capacity is 0.072 ha/hour, the effective capacity is 0.071 ha/hour, the percentage of growth is 95%, the average distance between plants is 10 cm, and the average distance between rows of plants is 10 cm.
Prediksi Pengoperasian Traktor di Lahan Kering Menggunakan Artificial Neural Network Taufik Nugraha Agassi; Yose Sebastian; Zainal Arifin
Jurnal Ilmiah Teknik Pertanian - TekTan Vol 12 No 3 (2020)
Publisher : Jurusan Teknologi Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/tektan.v12i3.1932

Abstract

Soil water content is an important parameter in making a decision to use a tractor or not. The process of measuring soil water content and levels of field capacity in conventional which takes a long time and cannot be used in real-time to measure it is a major problem in the field. Determinants of soil water content such as ambient temperature, humidity, and rainfall can be obtained easily and quickly either by using a tool or retrieving data from the nearest BMKG station. The objective of this research is to obtain the most optimal prediction model in making decisions about tractor operation in dry land. This research uses an Artificial Neural Network (ANN) in modeling predictions of tractor operation. Prediction of tractor operation is a prediction of tractor use on a certain day using input data obtained before the day of tractor use. ANN modeling uses the back-propagation supervised learning method. The best ANN model used four hidden neurons with a learning coefficient of 0.2, a momentum of 0.8 and 20,000 iterations. This model has been able to provide optimal predictions with an accuracy value of 77%. The ANN model has been successful in predicting tractor operation on dry land using the back-propagation supervised learning method.
Co-Authors Agassi, Taufik Nugraha Duta Satria Fajarsukoco Fajarsukoco Fajri Husna Fiqi Al Hidayat Harmen Harmen Muqorrobin Muqorrobin Nasichin Nasichin Tutu Petrus Basuki Yulia, Meinilwita Zainal Arifin