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Andy Eka Saputra
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Kampus Politeknik Negeri Lampung Jalan Soekarn Hatta No. 10 Raja Basa Bandar Lampung
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INDONESIA
TEKTAN
Published by Politeknik Negeri Lampung
ISSN : 20851278     EISSN : 27453472     DOI : https://doi.org/10.25181/tektan
Core Subject : Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Mechanical Engineering
Jurnal Tektan merupakan salah satu jurnal di Politeknik Negeri Lampung yang  menampung hasil penelitian berupa artikel ilmiah yang berkaitan dengan Ilmu Keteknikan Pertanian, Mekanisasi Pertanian, Teknik Kimia, Teknik Sumberdaya Lahan dan Lingkungan,dimana artikel tersebut belum pernah dipublikasikan. Jurnal TekTan di terbitkan oleh Unit Penelitian dan Pengabdian Kepada Masyarakat Polinela Unit 3x dalam setahun. Jurnal Ilmiah Teknik Pertanian Ini diterbitkan oleh Unit Penelitian dan Pengabdian Kepada Masyarakat Polinela Sebagai Wadah Bagi Dosen, Mahasiswa dan PLP untuk mempublikasikan karya penulisannya. Jurnal ini sempat mengalami Jeda Pengaktifan Selama 3 tahun mulai terbitan 2016 sampai Agustus 2019, hal ini disebabkan karena kekosongan tim pengelola Jurnal. Kemudian dengan manajemen pengelolaan yang baru maka diterbitkan kembali untuk volume 11 No. 3 pada tanggal 16 Desember 2019
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 12 No 3 (2020)" : 5 Documents clear
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.
Deteksi Zona Rawan Tsunami Pesisir Kota Bandar Lampung Menggunakan Data Geospasial Berbasis Sistem Informasi Geografis Iskandar Zulkarnain; I gde Darmaputra; Aniessa Rinny Asnaning
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.v12i3.1933

Abstract

The Bandar Lampung coastal area naturally has the potential of a tsunami hazard. Historically the coastal area of Bandar Lampung City had been hit by a tsunami with a height of 10-30 meters in 1883 when the eruption of Mount Krakatau occurred. The partial collapse of Mount Krakatau, which occurred at the end of 2018, also had a tidal wave impact as high as 1-2 meters in the Bandar Lampung coastal area. This study aims to produce Thematic Maps of Tsunami Hazard Zones in the Coastal Areas of Bandar Lampung City as a source of information for the community and stakeholders. The method used is spatial analysis with GIS through the overlay method. The result shown that eight sub district in Bandar Lampung City are prone to tsunami hazards with risk categories up to very high risk categories.
Modifikasi Mesin Peniris Minyak Sistem Spinner Harmen harmen; Imam Sofi'i; Ridwan Baharta
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.v12i3.1934

Abstract

The process of draining oil is one of the processes that can affect the oil content of the frying or chips. The oil that is left in a lot of fried food or chips when stored for a long time will cause a rancid smell. Meanwhile, if consumed directly, it will affect the health of consumers because of high cholesterol levels. Most people do not know the consequences that occur if they consume excess oil. People who already know cannot do anything because the oil draining machines on the market are still quite expensive and their working capacity is limited. In the previous research, a draining machine with a tube system with a diameter of 40 cm and a height of 22.2 cm was made with an rpm of 517. Within 5 minutes this system reduce oil content from 27% to 24,65% . The data shown in strightline gaphic trend that mean the reduction oil conten is not optimal yet . For this reason, this research will be redesigned by extending the spinner axis and adding the bearings to 2 units, it is hoped that this addition will stabilize the spinner rotation, the rotation can be increased and the ability to reduce oil content increases. extending the drain axis and increasing the position of the bearing to 2, the draining machine has been able to function properly until 967 rpm rotation, from the test results for draining the cassava chip oil, within 5 minutes, the slicer with a rotation of 598 rpm can reduce 2.29%, 727 rpm 2.93%, and 967 rpm 4.27% rotation.
Kontrol Suhu Otomatis Oven Vulkanisasi Konvensional di Laboratorium Unit Produksi Serabut Kelapa Berkaret Nurjan Didik Purwanto; Puji Wiyono; Andika Wahyu Pratama
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.v12i3.1935

Abstract

The vulcanization process is a chemical reaction between rubber and sulfur to form cross-links and produce a three-dimensional structure. Temperature control in the vulcanization process is important to support the quality of the goods produced. In the coconut coir rubber production unit laboratory, the vulcanization oven is still conventional and manual for temperature control, therefore an operator is required to be on standby when the vulcanization oven is operated. The negligence of the operator will be fatal both in terms of the quality of the rubberised coir produced and the risk of fire. One of the causes of frequent fires in vulcanization ovens is the difficulty in setting the temperature in the oven process. To anticipate the occurrence of fires in the vulcanization oven, it is necessary to modify and add a temperature control to the oven. Based on the above problems, modifications need to be made which include the addition of a temperature control system and fire protection that combines temperature control, electric motor, fan, and indicator sirens in rubberized coconut fiber ovens so that the quality of the products produced remains good and avoids fire hazards. With this system, it is hoped that it can provide a sense of security and comfort for operators and contribute to the world of education, especially for students of the Agricultural Mechanization Study Program and other study programs at Lampung State Polytechnic. Automatic Temperature Control of Conventional Vulcanization Ovens in the Rubber Coir Production Unit Laboratory
Rancang Bangun Mesin Pemipil dan Penghancur Tongkol Jagung Agil Renaldy; Edy Prabowo; Indra Kusuma; Winarto Winarto
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.v12i3.1936

Abstract

Corn is one of the important plants for human life, especially in Indonesia. This is because corn is the second food crop commodity after rice. In Indonesia, there are still many post-harvest maize product processing using the traditional method by peeling corn by hand, so that the yield of corn production is not comparable with the labor for processing the corn harvest. Agricultural statistics show that maize production in Indonesia has always increased from year to year. In order to better support the conversion process of corn cobs waste into animal feed, a chopper is needed. The machine functions to chop the corn cobs so that they are easier for livestock to consume as well as accelerate the work of bacteria during the fermentation process. If the two processes are carried out on separate machines, it will take a long time to complete. This study aims to make a machine that combines a corn sheller machine with a corn cobs crusher. The results of testing the corncob crusher and shelling machine gave 10 kg/hour shelling capacity, 13% unshipped corn, 68.9% corn shelling yield, 15 kg/hour corn cobs crushing machine capacity, 85.28% yield of corn cobs crushing.

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