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PENGARUH PENAMBAHAN TEBON JAGUNG DAN AMPAS TAHU TERHADAP KUALITAS FISIK DAN PH SILASE Centrocema pubescens : The Effect of Adding Corn Stover and Tofu Waste on the Physical Quality and pH of Centrosema pubescens Silage
Full text linkKetersediaan hijauan sangat bergantung pada musim sehingga peternak mengalami kesulitan dalam menjaga kuantitas dan kualitas hijauan terutama pada musim kemarau. Centrocema pubescens bersifat perennial yaitu dapat hidup lebih dari satu tahun sehingga membuat legum ini berpotensi menjadi alternatif. Pemanfaatan tanaman sentro dapat dimaksimalkan secara optimal dengan upaya mempertahankan nutrien melalui teknologi silase. Penelitian dilakukan dengan metode eksperimental menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari 3 perlakuan dan 5 ulangan yaitu P1 = Centrocema pubescens, P2 = Centrocema pubescens 50% + tebon jagung 50%, P3 = Centrocema pubescens 50% + ampas tahu 50%. Data jamur, warna, aroma dan tekstur dianalisis menggunakan analisis kruskall walis dengan uji lanjut Dunn, sementara pH menggunakan analisis ANOVA dan uji lanjut Duncan. Hasil penelitian menunjukkan bahwa setiap perlakuan memberikan pengaruh berbeda nyata terhadap semua parameter yang diamati (p<0,05). Hasil penelitian menunjukkan P2 menghasilkan kualitas fisik silase yang optimal ditunjukkan dengan tidak tumbuh jamur, warna silase hijau terang, aroma agak busuk, tekstur silase tidak berlendir dan padat serta kadar pH silase yang cenderung rendah. Hal ini menunjukkan bahwa silase dengan campuran tebon jagung lebih efektif untuk mempertahankan kualitas fisik silase. Silase dengan campuran ampas tahu lebih baik dalam mempertahankan kadar pH silase agar tetap dalam kondisi asam.
Kata kunci: Legum, Centrocema pubescens, Silase, Kualitas Fisik, Kadar pH
PEMANFAATAN LIMBAH ORGANIK RUMAH TANGGA DAN MAGGOT SEBAGAI PAKAN TERHADAP PROFIL PRODUKTIVITAS INDUK AYAM KAMPUNG: Utilization of Household Organic Waste and Maggot as Feed on Kampong’s Hen Productivity Profiles
Full text linkPenelitian ini bertujuan untuk mengevaluasi performan produktivitas induk ayam kampung melalui pemanfaatan limbah organik rumah tangga (LORT) segar dan larva Black Soldier Fly (Hermetia illucens) (maggot BSF) sebagai alternatif pakan yang berkelanjutan dan murah. Rancangan Acak Lengkap (RAL) digunakan dengan kelompok perlakuan: P1 (90% LORT + 10% maggot BSF), P2 (80% LORT + 20% maggot BSF), dan P3 (70% LORT + 30% maggot BSF), masing-masing dengan tiga ulangan. Parameter yang diukur: produksi telur (Hen Day Production/HDP), fertilitas, bobot telur, total konsumsi pakan dan efisiensi konversi pakan (FCR). Hasil penelitian menunjukkan korelasi positif antara peningkatan proporsi maggot BSF dengan kinerja reproduksi dan produksi. Perlakuan P3 menghasilkan nilai HDP tertinggi (30,00%), tingkat fertilitas tertinggi (88,89%), bobot total telur terbesar (1.128,06 g), dan nilai FCR paling efisien (18,86), meskipun tingkat konsumsi pakannya terendah (21.280 g). Hal ini mengindikasikan adanya korelasi positif antara kerapatan nutrisi dengan efisiensi pakan, yang dipengaruhi oleh kandungan protein, lemak, dan asam amino yang lebih tinggi dari maggot BSF pada pakan. Namun, penurunan konsumsi pakan pada proporsi maggot BSF tertinggi, diduga dikarenakan kandungan kitin yang lebih tinggi, aroma pakan yang berubah, dan kandungan padat energi. Temuan ini mendukung rekomendasi strategis pemanfaatan maggot BSF dan limbah organik dalam pakan unggas lokal untuk peningkatan produktivitas sekaligus mendukung pertanian sirkular dan pengelolaan limbah berkelanjutan dalam sistem peternakan pedesaan. Penelitian lebih lanjut diperlukan untuk optimalisasi penambahan maggot BSF dalam pakan yang mampu menyeimbangkan ketersediaan nutrisi dan palatabilitas.
Kata kunci: Ayam kampung, efisiensi pakan, maggot BSF, performan produktivitas, pertanian sirkuler.
PRODUKTIVITAS HIJAUAN PAKAN TERNAK PADA INTERVAL PEMOTONGAN DAN NAUNGAN YANG BERBEDA: Productivity of Forage at Different Cutting and Shading Intervals
Full text linkPenelitian hijauan pakan ternak yang dilakukan untuk produksi hijauan pada naungan dan interval pemotongan yang terbaik saat pemanenan hijauan. Tujuan penelitian ini untuk mengetahui pengaruh perbedaan naungan dan interval pemotongan terhadap produksi dan kualitas hijauan pakan ternak. Penelitian penanaman hijauan dilakukan di Lahan Percobaan Kebun Simalingkar Universitas HKBP Nommensen Kecamatan Pancurbatu, Kabupaten Deli Serdang, Provinsi Sumatera Utara. Analisis proksimat hijauan dilakukan di Laboratorium Bahan Pakan Ternak Fakultas Pertanian Universitas Sumatera Utara. Metode penelitian yang digunakan adalah Rancangan Petak Terbagi (RPT) dengan perlakuan petak utama adalah naungan (tanpa naungan, naungan dengan kerapatan paranet 50%, naungan dengan kerapatan 70%), anak petak yaitu interval pemotongan (4 dan 6 minggu). Hijauan yang digunakan adalah Brachiaria humidicola, Stenotaphrum secundatum, Arachis glabarata, Pueraria javanica. Parameter yang diukur untuk melihat produktivitas hijauan yaitu bahan segar dan bahan kering serta kapasitas daya tampung ternak. Analisis data dilakukan dengan analisis of varian (Anova) menggunakan program SAS (Statistic Analysis System). Hasil penelitian menunjukkan bahwa dengan interval pemotongan 4 sampai 6 minggu tidak berbeda nyata (P>0.05) atau memberi pengaruh yang sama terhadap produksi hijauan dan kapasitas tampung ternak. Perlakuan Naungan dari 0 sampai 70% juga tidak berbeda nyata ((P>0.05)) begitu juga interaksi antar Interval pemotongan dan naungan memberi pengaruh yang sama terhadap produksi hijauan dan kapasitas tampung ternak.
Kata kunci: Hijauan, Interval pemotongan, Naungan, Produks
Analisis Pengoptimalan Cycle Time Distribusi Semen: Perbandingan Satu dan Dua Kompresor di PT. X
Full text linkDistribution efficiency in the cement industry is a key factor that influences the sustainability of operations and company competitiveness. One critical aspect is managing distribution cycle time, which involves the process of loading cement from the factory to the ship. This research was conducted at PT. X to analyze cycle time optimization in cement distribution using discrete simulation methods. This research is the importance of reducing cycle time to avoid delivery delays which can result in fines (demurrage) and operational losses. The simulation results show that using one compressor requires an average of 108 minutes per trip, so that to complete 5 trips per trailer it takes a total of around 11.3 hours. While this duration still allows for the delivery target of 1,800 tons in 12 hours to be achieved, this approach leaves little room to overcome potential operational obstacles, such as technical glitches or delays, thereby increasing the risk of late fines. As a solution, the addition of one compressor has been proven to reduce loading time to 54 minutes per trip, reducing the total time for 5 trips to only 6.8 hours, providing significant efficiency and increasing operational reliability. This research concludes that adding a compressor can significantly reduce the risk of delays, increase efficiency and support the sustainability of company operations.
Keywords : Cycle Time, Distribution, Discrete Simulation, Loadin
Analisis Peramalan Permintaan Produk Handuk Tipe A pada PT TUV dengan Metode Time Series
Full text linkIn the era of globalization, industry and trade in Indonesia are experiencing fierce competition. Technological advances require qualified human resources from formal or non-formal educational institutions with supporting facilities. This research focuses mainly on solving the problem of the type A towel production process which often occurs in the accumulation of goods in the Finishing Warehouse using the Moving Average and Single Exponential Smoothing methods. Due to the current changing market demand, the results of data processing carried out using POM-QM software show that the forecasting method with the Single Exponential Smoothing approach has the lowest Mean Absolute Percentage Error (MAPE) value among other methods, which is 32.637%, so this method was chosen in solving problems in the company because the smaller the error the smaller the possibility of bad things that will happen.
Keywords: Demand, Moving Average, Single Exponential Smoothing, Technolog
Penerapan Metode Objective Matrix dan Rootcause Analysis pada Pengukuran Produktivitas Produksi Gula di PT KLM
Full text linkMeasuring the company\u27s productivity performance is very important to assess achievements and evaluate aspects that need to be improved. PT KLM is engaged in sugar production, trying to improve productivity which is considered unstable. This research aims to analyze productivity during the 2024 milling period and provide recommendations for improvement. The methods used are Objective Matrix and Rootcause Analysis. RCA analysis was carried out with the Five-Why method and fishbone diagram to obtain improvement recommendations that can increase productivity in the future. Based on the Five-Why analysis and fishbone diagram, the company needs to optimize productivity through increased supervision and availability of quality raw materials, provide motivation and evaluation levels to employees, and control the efficient use of machines. The results show the highest productivity value in period 6 of 636.80 and the lowest productivity occurred in the first period of 65.27. The highest productivity change index occurred in the third period with a value of 285.62%. While the lowest index of change occurred in the last period with a value of -44.85, Criteria that need to be improved include raw materials, labor and machine hours.
Keywords: Fishbone Diagram, Five-Why Analysis, Omax, Productivity, RC
Analisis Pengendalian Kualitas Produk Pakan Ternak pada PT XYZ dengan Metode Six Sigma dan FMEA
Full text linkProduct quality has an important role in maintaining customer trust and the sustainability of the company. PT XYZ, which produces various types of animal feed, faces the problem of defects in pellet products, such as different feed size shapes, hot feed temperatures, and uneven feed colors. These defects not only affect production efficiency but can also reduce customer satisfaction. This research needs to be carried out so that PT XYZ can identify the cause of the defect and provide improvement proposals using the Six Sigma method through the DMAIC (Define, Measure, Analyze, Improve, Control) stage with Failure Mode and Effect Analysis (FMEA). The results showed that the main causes of defects were unstable engine condition, suboptimal cooling system, and dirty or worn engines, with the highest RPN values of 504, 210, and 448, respectively. The proposed improvements include standardization of engine settings, routine maintenance, and machine cleaning before use. The implementation of this recommendation is expected to improve product quality, reduce defects, increase operational efficiency, and strengthen the company\u27s competitiveness. In addition, this research also provides continuous guidance for PT XYZ in managing a more standardized and quality production process to achieve a competitive advantage in the market.
Keywords: DMAIC, FMEA, Product Quality, Six Sigma
Analisis Total Productive Maintenance pada Mesin Reaktor Pompa Slurry 22P303A untuk Mengurangi Six Big Losses dengan Maintenance Value Stream Mapping Produksi II B PT PG
Full text linkThe manufacturing industry currently faces major challenges in maintaining and improving the operational performance of production machines to ensure efficiency and product quality. PT PG is engaged in the manufacturing industry, which seeks to increase the effectiveness and efficiency of production II B, especially by using a slurry pump machine during January to June. This study aims to determine the Total Productive Maintenance and how to improve during downtime and find out how to reduce the Six Big Losses with improvements using MVSM. The method used is TPM by reducing the Six Big Losses and using the maintenance value stream mapping (MVSM) approach. The results show that the Total Productive Maintenance (TPM) on the 22P303A reactor slurry pump machine at PT PG, especially in Production Unit II, namely in January of 67.06%, February of 50.32%, March of 58.42%, April of 59.71%, in May of 32%, and in June of 53.40%. And from the Six Big Losses Analysis research shows that downtime is the biggest loss with a total of 329 minutes or representing 35% of the total operational time. The biggest loss comes from Idling and Minor Stopage Losses with a total repair time using MVSM of 171 minutes..
Keywords: Maintenance Value Stream Mapping (MVSM),Slurry Pump Machine, Total Productive Maintenanc
Penerapan Metode Economic Order Quantity (EOQ) Terhadap Pengendalian Persediaan Bahan Baku Plat Baja di PT. MTUI
Full text linkPT. MTUI is a manufacturing company engaged in the production of gas cylinders. One critical aspect of its operations is inventory management. PT MTUI faces challenges in managing the inventory of its main raw material, Steel Plate. Issues of stock shortages or surpluses frequently occur due to a suboptimal inventory control system, which can disrupt production flow and lead to delays in order fulfillment. To address this, an analysis was conducted using the Economic Order Quantity (EOQ) method to determine the optimal procurement policy. The results show that the optimal order quantity for Steel Plate is 261.37 tons with an order frequency of 17 times per year. Additionally, a safety stock of 712 units and a reorder point of 1,226 tons were established. Financially, the previous procurement cost amounted to Rp5,331,083, while the EOQ method reduced the cost to Rp3,983,185. This resulted in savings of Rp1,347,898, demonstrating that EOQ implementation not only enhances inventory efficiency but also significantly reduces operational costs for PT. MTUI.
Keywords: EOQ, Inventory, Procurement, Safety Stock, Total Inventory Cost
Minimasi Bullwhip Effect dengan Metode EOQ pada Supply Chain: Studi Kasus Distributor Susu XX
Full text linkXX Milk distributors face the bullwhip effect, which is fluctuations in excess demand due to inaccurate information and a suboptimal ordering system, causing stock inefficiency. This study aims to minimize the bullwhip effect on XX Milk Distributors by applying the Economic Order Quantity (EOQ) method. The research uses a quantitative approach with an explanatory design. The data used includes demand and sales of SGM Eksplor milk from five major retailers in Bekasi during the period from May 2022 to April 2023. The analysis techniques used include the calculation of the variance coefficient to measure the bullwhip effect before and after the implementation of EOQ, as well as inventory cost analysis. The results showed that the implementation of EOQ succeeded in reducing the bullwhip effect by 11% and optimizing inventory costs with an average savings of 1.24%.Although the EOQ method is effective in reducing demand fluctuations, this study recommends the implementation of additional strategies such as Collaborative Planning, Forecasting, and Replenishment (CPFR) and Vendor-Managed Inventory (VMI) to improve supply chain stability. In addition, the integration of artificial intelligence-based technologies can improve the accuracy of demand forecasting. With a more holistic strategy, supply chain management can become more efficient and adaptive to changing market demand.
Keywords: Bullwhip effect, Economic Order Quantity, Supply chai