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All Journal Jurnal Rekayasa Bahan Alam dan Energi Berkelanjutan MIND (Multimedia Artificial Intelligent Networking Database) Journal Journal of Community Development
Prasetyo, Dafit Ari
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Energy Environmental Science Nursing Public Health Social Sciences

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Pelatihan Penggunaan Mesin Pengering Kopi Untuk Meningkatkan Keterampilan Petani Kopi Faizin, Nur; Ulma, Zeni; Prasetyo, Dafit Ari; Hananto, Yuli; Karimah, Cahyaning Nur
Journal of Community Development Vol. 4 No. 2 (2023): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v4i2.159

Abstract

Improving human resource skills is one of the pillars in determining the increase in quality and quantity of production in a business. In the coffee plantation business sector, the skills of coffee farmers play an important role in the production process. The operation of the machines used is an absolute requirement for achieving effectiveness and efficiency in the process. One of them is a coffee drying machine obtained by the Sumber Kembang farmer group from previous community service activities. This must be accompanied by operating skills so that in this service activity training will be carried out on the use of coffee drying machines. The methods used were surveys, training and discussions. The result of this service activity is the achievement of increasing the skills of coffee farmers in terms of operating coffee drying machines. Achievement of service activities is carried out by providing feedback to partners in the form of questionnaires. The results of the questionnaire showed that respondents from partner members mostly gave positive responses to service activities in the form of coffee drying machine training.
Sistem Evaluasi Lahan Penentuan Tanaman menggunakan Metode Forward Chaining SAFITRI, NADIA AYU; ATTHOILLAH, EDY; NAJAMUDDIN, AHMAD NANDA; FAUZI, HILMIY AHMAD; HIKMAH, LAILATUL; PRASETYO, DAFIT ARI; FITRI, ZILVANHISNA EMKA
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 9, No 2 (2024): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v9i2.153-165

Abstract

ABSTRAKSistem Evaluasi Lahan merupakan sistem untuk menilai kesesuaian suatu lahan bagi berbagai jenis tanaman. Kurangnya pengetahuan petani tentang tingkat kesuburan tanah untuk jenis tanaman tertentu menyebabkan kegagalan dalam usaha pertanian mereka. Kandungan unsur NPK (Nitrogen, Phospor, dan Kalium) dalam tanah menentukan tingkat kesuburan lahan. Penelitian ini bertujuan mengembangkan sistem evaluasi lahan menggunakan teknologi pengolahan citra tanah dan metode forward chaining untuk menentukan kesesuaian lahan dan memberikan rekomendasi tanaman. Hasil penelitian menghasilkan tingkat akurasi dalam prediksi nilai kandungan Nitrogen sebesar 96,6%, Phospor sebesar 91,03%, dan Kalium sebesar 94,69% serta memberikan rekomendasi tanaman yang tepat. Sistem evaluasi lahan ini diharapkan dapat membantu petani meningkatkan produktivitas pertanian mereka.Kata kunci: pertanian, unsur hara NPK, pengolahan citra, sistem pakar, forward chaining ABSTRACTA land evaluation system is a system for assessing the suitability of land for different types of crops. The lack of farmers' knowledge about the soil fertility level for certain crops led to failure in their agricultural endeavors. The soil's content of NPK elements (Nitrogen, Phosphorus, and Potassium) determines soil fertility. The research aims to develop an evaluation system of soil using soil image processing technology and forward chaining methods to determine soil suitability and give plant recommendations. The results of the research yield accuracy in the prediction of nitrogen content values of 96.6%, phosphorus of 91.03%, and potassium of 94.69% and give the correct plant recommendation. This land evaluation system is expected to help farmers increase their agricultural productivity.Keywords: agriculture, NPK hara element, image processing, expert system, forward chaining
Optimization of the Use of Bottom Ash PLTSa Bantargebang As an Adsorbent in the Process of Reducing FFA in Used Cooking Oil Biodiesel Raw Material with Taguchi Method: Optimasi Penggunaan Bottom Ash PLTSa Bantargebang Sebagai Adsorben pada Proses Penurunan FFA pada Minyak Jelantah Bahan Baku Biodiesel Dengan Metode Taguchi Wicaksono, Damar Canggih; Susmiati, Yuana; Prasetyo, Dafit Ari
Jurnal Rekayasa Bahan Alam dan Energi Berkelanjutan Vol. 8 No. 2 (2024)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rbaet.2024.008.02.05

Abstract

The reduction of FFA levels in used cooking oil as a biodiesel raw material is generally done by the esterification process. Another method that can be used to reduce FFA levels is through the adsorption method. The adsorbent used is bottom ash waste. This study aims to determine the effect of bottom ash adsorbent variation and determine the best variation based on Taguchi analysis. This research uses Taguchi data processing technique with 2 factors and 3 levels. The first factor is adsorbent mass with variations (5% m/v, 10% m/v, and 15% m/v). The second factor is the length of adsorption time with variations (30 minutes, 60 minutes, and 90 minutes). The testing parameters included FFA content, acid number, density, and viscosity. The results of this study were analyzed using the Taguchi method which shows the variation of adsorbent mass and time for FFA content is the variation of 5% m/v adsorbent mass and 30 minutes adsorption time which can reduce FFA by 35.2%, with an acid number value of 3.029 mg KOH/g, density of 0.903 g/cm3 and viscosity of 4.463 sCt in samples that successfully reduced the FFA value by 35.2%.
Co-Authors ATTHOILLAH, EDY Cahyaning Nur Karimah, Cahyaning Nur FAUZI, HILMIY AHMAD Fitri, Zilvanhisna Emka Hikmah, Lailatul NAJAMUDDIN, AHMAD NANDA Nur Faizin Safitri, Nadia Ayu Ulma, Zeni Wicaksono, Damar Canggih Yuana Susmiati Yuli Hananto, Yuli