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All Journal Jurnal Teknologi Industri Pertanian Agromet Jurnal Pengolahan Hasil Perikanan Indonesia Agrointek Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Kimia dan Kemasan Jurnal Kimia dan Kemasan
Suprihatin Suprihatin
Departemen Teknik Industri Pertanian, Fakultas Teknologi Pertanian, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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IOT BASED SMART AGRO-INDUSTRIAL TECHNOLOGY WITH SPATIAL ANALYSIS Rindra Yusianto; Marimin Marimin; Suprihatin Suprihatin; Hartrisari Hardjomidjojo
Jurnal Teknologi Industri Pertanian Vol. 30 No. 3 (2020): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2020.30.3.319

Abstract

Smart teknologi berkembang pesat di sektor agroindustri. Tujuan dari penelitian ini adalah merancang dan mengembangkan sistem agroindustri kentang yang optimal dan adaptif. Dalam penelitian ini ditambahkan Internet of Things (IoT) yaitu penginderaan jauh untuk memprediksi jumlah panen dan kapasitas produksi. Sebelum menerapkan IoT, perspektif spasial dianalisis menggunakan spasial dan geoprocessing. Sampel penelitian menggunakan random grid di Wonosobo, Jawa Tengah, Indonesia. Titik optimal diperoleh di Kejajar (N1), Garung (N2), Kalikajar (N3), Kepil (N4) dan Mojotengah (N5). Pada penelitian ini dipasang sensor suhu dan kelembaban SHT15 serta curah hujan Rain Gauge di 5 titik. Sensor memberikan data secara rutin selama 30 hari. Berdasarkan analisis kesesuaian lahan, lokasi yang paling sesuai adalah Kejajar (N1) di koordinat 7°14'11.8"LS, 109°56'29.7"BT. Hasil penelitian menunjukkan bahwa berdasarkan 24 titik sampel dengan luas rata-rata 2,5m x 2,5m dihasilkan rata-rata total panen 8,62 kg/m2 dan prediksi produktivitas panen 13,79 ton/ha. Sistem ini dapat memprediksi jumlah panen dan kapasitas produksi yang baik dengan tingkat akurasi 89,35%. Dengan demikian, metode ini dapat digunakan dan merepresentasikan pertanian melalui inovasi digital menggunakan smart teknologi agroindustri. Untuk penelitian selanjutnya, metode ini dapat dilanjutkan untuk penanganan pascapanen dengan menggunakan Sistem Operasi berbasis Android. Kata kunci: agro-industrial technology, IoT, Smart technology, spatial analysis
ANALISIS DAN DESAIN SISTEM PENILAIAN DAUR HIDUP AYAM POTONG BERBASIS DIGITAL BUSINESS ECOSYSTEM Silmi Azmi; Taufik Djatna; Suprihatin Suprihatin; Nastiti Siswi Indrasti
Jurnal Teknologi Industri Pertanian Vol. 31 No. 2 (2021): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2021.31.2.164

Abstract

Chicken meat agroindustry is one of the industries that produce unmeasured and unmonitored environmental impacts. These problems are a challenge for the industry to analyze how to measure and monitor environmental impacts. So, it is necessary to create a system that can measure and monitor environmental impacts through the Life Cycle Assessment (LCA) method. The development of system design based on the Digital Business Ecosystem (DBE) can facilitate interaction between the stakeholders involved. This study aimed to analyse system components, system modeling, and develop an LCA system design of chicken meat. The system design model wasbuilt by UML (Unified Modeling Language). The system design was developed using an Artificial Neural Network (ANN) method to predict the impact of greenhouse gas emissions and the Ordinary Least Squares (OLS) method to determine the most significant contributor. The study's results showed that this system produceed a model that can predict the impact of greenhouse gas emissions by 96.22 % of the actual value, and feed was the most significant contributor. Recommendations for reducing greenhouse gas emissions were increasing feed efficiency, installing an inverter on an ammonia compressor, using environmentally friendly fuels, and utilizing litter and manure as organic fertilizer accompanied by better manure storage management.Keywords: artificial neural network, chicken meat, ordinary least square, life cycle assessment system
BUSINESS ANALYSIS BASED ON TRACEABILITY FRAMEWORK ON SUGAR SUPPLY CHAIN Ratna Ekawati; Yandra Arkeman; Suprihatin Suprihatin; Titi Candra Sunarti
Jurnal Teknologi Industri Pertanian Vol. 31 No. 2 (2021): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2021.31.2.242

Abstract

Kompleksitas rantai pasok menyebabkan pula keputusan yang komplek untuk masalah yang harus ditangani walaupun sangatlah sulit akan tetapi sangat membutuhkan respon yang cepat dan akurat. Agroindustri gula tebu melakukan proses bisnis yang dimulai dari pemanenan, pengolahan tebu menjadi gula yang selanjutnya didistribusikan ke konsumen melalui distributor atau ke retailer hingga ke konsumen langsung. Permasalahan yang terjadi pada distribusi aliran informasi data pada rantai pasok agroindustry gula adalah adanya gap jumlah presisi stok gula yang ada di antar departemen pemerintah,begitu pula yang terjadi antara kualitas gula nasional seperti raw sugar, gula kristal putih dan gula rafinasi Walaupun proses dari hulu perkebunan hingga pabrik giling tebu sama akan tetapi jumlah produksi dan konsumsi yang ada di kementerian akan berbeda. Oleh karena itu akan diidentifikasi berdasarkan proses bisnis yang terjadi dari mulai tebu ditebang pengangkutan proses giling penyimpanan penjualan hingga pembeli memdistribusikan kepada konsumen. Pendekatan yang digunakanmenggunakan pendekatan berorientasi temuan pada referensi supply chain management, diagnosis awal untuk melengkapi investigasi literatur sesuai dengan ecosystem yang terjadi pada kondisi real. Identifikasipermasalahan yang terjadi akan dianalisa berdasarkan gambaran kondisi awal rantai pasok, analisa kebutuhan berdasarkan diagram input-output, diagram use case hingga framework ketelusuran rantai pasok agroindustry gula. sistem penelusuran yang terintegrasi diharapkan akan dapat meningkatkan kontrol proses dan mendeteksi sebab dan akibat ketika suatu produk gagal memenuhi standar dalam aliran informasi sepanjang rantai pasok mulai dari hulu hingga hilir endkonsumen. framework traceability yang diusulkan pada proses bisnis agroindustry gula diawali dengan distribusi transaksi dokumen perjalanan produk dari hulu kehilir khusus untuk nilai informasi kualitas dan kuantitas sehingga pemain yang terlibat dalam rantai pasok dalam memantau record data.Kata kunci : agroindustry gula, framework ketelusuran, pencatatan data, rantai pasok
MANFAAT EKOLOGIS DAN FINANSIAL PEMANFAATAN LIMBAH CAIR AGROINDUSTRI SEBAGAI BAHAN BAKU DALAM PRODUKSI BIOGAS UNTUK MEREDUKSI EMISI GAS RUMAH KACA(ECOLOGICAL AND FINANCIAL BENEFITS OF AGRO-INDUSTRIAL WASTEWATER UTILIZATION AS RAW MATER . Suprihatin
Agromet Vol. 23 No. 2 (2009): December 2009
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.159 KB) | DOI: 10.29244/j.agromet.23.2.101-111

Abstract

Agroindustries in general produce a large amount of organic wastewater. Until now, most of this organics waste-stream was not recovered and left to decompose anaerobically in ponds, where it emits methane, a potent greenhouse gas. By anaerobically digesting of the effluents in a suitable bioreactor, methane can be captured and used for combustion in gas engines or boilers. This way, uncontrolled methane emission from the anaerobic decomposition can be avoided and the utilization of fossil fuels can be replaced partly with the renewable biogas from the decomposition process. In addition, the approach of reducing green house gas emission is potentially to earn financial incentive through Clean Development Mechanism project. This paper demonstrates quantitatively some potential ecological and economical benefits derived from utilising agroindustrial effluents by treating it anaerobically to generate biogas (with cases of cane sugar factory, starch industry, palm oil mill, and tofu industry) . As illustration, for each ton cane sugar produced app. 15 m3 methane can be emitted from uncontrolled anaerobic degradation of it wastewater. By capturing the gas and transforming it into renewable biogas, a methane emission of equivalent to ≈ 272 kg CO2 can be avoided and an energy value of app. 427 MJ with a money value of app. Rp 59 600,- can be obtained. In addition, a financial incentive of app. Rp 14 850,- is possible to be earned from clean development mechanism (CDM) project. The ecological and financial benefits derived from anaerobic treatment of agroindustrial wastewater as indicated by this study should therefore become the driving force for the implementation of the approach.
Enhancement of Textural Quality From Daggertooth Pike Conger Fish Surimi with Sodium Tripolyphosphate and Transglutaminase Activator Untung Trimo Laksono; Suprihatin Suprihatin; Tati Nurhayati; Muhammad Romli
Jurnal Pengolahan Hasil Perikanan Indonesia Vol 22 No 2 (2019): Jurnal Pengolahan Hasil Perikanan Indonesia
Publisher : Department of Aquatic Product Technology IPB University in collaboration with Masyarakat Pengolahan Hasil Perikanan Indonesia (MPHPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.379 KB) | DOI: 10.17844/jphpi.v22i2.27373

Abstract

Dagger-tooth pike conger fish (Muraenesox cinerus) is known to have high edible portions and white meat, thus can be used as a surimi raw materials. However, the textural quality of this fish meat is relatively poor after washing process of surimi. This reserch was aimed to analyze the effects of TGase activator and STPP addition to increase the textural quality of surimi malong. The method used is a factorial experiment with the addition of activator TGase 0.2; 0.4 and 0.6 and STPP at concentrations 0; 0.2; 0.5 and 0.8. Parameters observed were texture profile analysis (TPA), water holding capacity (WHC) folding test, bite test, and scanning electron microscopy (SEM). The results showed that the addition of STPP and activator TGase (Ca) has significant effect on increasing the hardness, fracturability, chewiness, gumminess, bite test and the folding test. Furthermore, microscopies structure (SEM) of malong surimi showed smooth and solid surfaces.
Perolehan Kembali Seng Dari Limbah Industri Galvanis Sebagai Seng Asetat Siti Agustina; Nastiti Siswi Indrasti; Suprihatin Suprihatin; Nurul Taufiqu Rochman
Jurnal Kimia dan Kemasan Vol. 36 No. 1 April 2014
Publisher : Balai Besar Kimia dan Kemasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24817/jkk.v36i1.1899

Abstract

Seng dross merupakan hasil samping dari industri pelapisan logam (galvanis) dengan proses hot-dip dan mempunyai kandungan seng yang cukup tinggi. Hasil samping ini dapat digunakan sebagai bahan baku seng asetat. Seng asetat digunakan sebagai bahan tambahan makanan, suplemen, obat-obatan, precursor, dan pelega tenggorokan. Penelitian ini bertujuan untuk memperoleh kembali seng dari seng dross untuk menghasilkan seng asetat. Seng asetat tersebut akan digunakan sebagai precursor. Proses ekstraksi seng dross dilakukan dengan asam asetat glasial pada kondisi proses, yaitu waktu ekstraksi 1 jam, 2 jam, dan 3 jam, suhu ekstraksi 130 oC, 150 oC, dan 170 oC, serta konsentrasi asam asetat glasial 20%, 40%, dan 60%. Hasil ekstraksi berupa seng asetat dianalisis untuk mengetahui kadar seng dan karakteristik kristal. Hasil penelitian menunjukkan bahwa kondisi proses ekstraksi yang terbaik diperoleh pada suhu 130 oC, konsentrasi asam asetat glasial sebesar 60%, dan waktu proses ekstraksi selama 1 jam. Seng asetat yang diperoleh mengandung 75,39% seng dan kristal seng asetat mempunyai intensitas 5800 counts. 
ANALISIS DAUR HIDUP (LIFE CYCLE ASSESSMENT) PENGOLAHAN KOPI BUBUK ROBUSTA SECARA BASAH DI INDUSTRI KECIL MENENGAH (IKM) BELOE KLASIK LAMPUNG Febilian Adiwinata; Suprihatin Suprihatin; Mulyorini Rahayuningsih
AGROINTEK Vol 15, No 4 (2021)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v15i4.11338

Abstract

Indonesia is one of the countries with the largest producer of coffee commodities globally. The high productivity of coffee is a good opportunity to establish Small and Medium Industries for coffee processing. The increase in coffee production will affect the quality of the environment due to the entire series of coffee production activities such as pollution or emissions and waste. The policies set by the government encourage industries to become environmentally friendly and sustainable industries. An assessment of the coffee processing life cycle needs to be carried out to determine how big the environmental impact is from the production process. The magnitude of the environmental impact can be calculated using the Life Cycle Assessment (LCA) method from providing raw materials to products ready for consumption by consumers resulting in environmental impacts and requiring energy that can be calculated. The purpose of this study is to analyze and evaluate the environmental impact of coffee processing production activities using the Life Cycle Assessment (LCA) method with a gate to gate scope. The stages of LCA research are setting research objectives and scope, inventory analysis, environmental impact assessment, and implementation of improvements. The environmental impact analyzed is Greenhouse Gas (GHG) emissions which are categorized as one of the causes of Global Warming Potential (GWP). The results of the LCA analysis show that for every one tonne of wet-processed coffee, 1900 MJ of energy will be used, and GHG emissions of 270.17 Kg CO2eq / day are equivalent to 1.31 CO2eq / kg of ground coffee, which is equivalent to 6,438 Kg CO2eq. / month and 77,260 Kg CO2eq/ year.
Perolehan Kembali Seng Dari Limbah Industri Galvanis Sebagai Seng Asetat Siti Agustina; Nastiti Siswi Indrasti; Suprihatin Suprihatin; Nurul Taufiqu Rochman
Jurnal Kimia dan Kemasan Vol. 36 No. 1 April 2014
Publisher : Balai Besar Kimia dan Kemasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (817.13 KB) | DOI: 10.24817/jkk.v36i1.1899

Abstract

Seng dross merupakan hasil samping dari industri pelapisan logam (galvanis) dengan proses hot-dip dan mempunyai kandungan seng yang cukup tinggi. Hasil samping ini dapat digunakan sebagai bahan baku seng asetat. Seng asetat digunakan sebagai bahan tambahan makanan, suplemen, obat-obatan, precursor, dan pelega tenggorokan. Penelitian ini bertujuan untuk memperoleh kembali seng dari seng dross untuk menghasilkan seng asetat. Seng asetat tersebut akan digunakan sebagai precursor. Proses ekstraksi seng dross dilakukan dengan asam asetat glasial pada kondisi proses, yaitu waktu ekstraksi 1 jam, 2 jam, dan 3 jam, suhu ekstraksi 130 oC, 150 oC, dan 170 oC, serta konsentrasi asam asetat glasial 20%, 40%, dan 60%. Hasil ekstraksi berupa seng asetat dianalisis untuk mengetahui kadar seng dan karakteristik kristal. Hasil penelitian menunjukkan bahwa kondisi proses ekstraksi yang terbaik diperoleh pada suhu 130 oC, konsentrasi asam asetat glasial sebesar 60%, dan waktu proses ekstraksi selama 1 jam. Seng asetat yang diperoleh mengandung 75,39% seng dan kristal seng asetat mempunyai intensitas 5800 counts. 
STRATEGI PENGELOLAAN SUNGAI CIBANTEN PROVINSI BANTEN BERDASARKAN ANALISIS DAYA TAMPUNG BEBAN PENCEMARAN AIR DAN KAPASITAS ASIMILASI Baherem Baherem; Suprihatin Suprihatin; Nastiti Siswi Indrasti
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 4 No. 1 (2014): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.4.1.60

Abstract

Cibanten river is one of the most potential to be developed as a source of raw water. Crucial issues at Cibanten river is the increasing load of water pollution as indicated by parameter BOD, COD and TSS. This study aimed to estimate the amount of Total Maximum Daily Load (TMDL) in Cibanten river, analyze the quality Status of the Cibanten river water, analyze the capacity of assimilation, and determine management strategy of Cibanten river of Banten Province. TMDL of BOD were determined by modeling Qual2KW and the results were compared with the second class water quality standards to regulation No. 82/2001. Management strategy of Cibanten river determined by analysis of the results of an expert survey method with AHP (Analytical Hierarchy Process). Quality Status of the Cibanten river water with pollution index was light raiment and storet method of Raw Water Quality class II belong was heavy raiment. Results of the simulation calculation of TMDL, the total load of pollution in the Cibanten BOD was730 tons/month while the TMDL of BOD was 146.801 tons/month. Results of the analysis of assimilation capacity COD was 24208 tons/month. Results of the analysis methods of survey expert with AHP (Analytical Hierarchy Process) is monitoring and surveillance as an alternative management strategies with the highest priority of the Cibanten river (agregate value 0.202) and following up the monitoring results.Keywords: Cibanten River, total maximum daily loads, Qual2Kw, assimilation capacity, storet, pollution index, Analytical Hierarchy Process
Co-Authors Baherem Baherem Febilian Adiwinata Hartrisari Hardjomidjojo Marimin , Muhammad Romli dan Suprihatin Andes Ismayana Mulyorini Rahayuningsih Nastiti Siswi Indrasti Nurul Taufiqu Rochman Ratna Ekawati Silmi Azmi Siti Agustina TATI NURHAYATI Taufik Djatna Titi Candra Sunarti Untung Trimo Laksono Yandra Arkeman Yusianto Rindra