6 research outputs found
Pemodelan dan Simulasi Sistem Industri Manufaktur Menggunakan Metode Simulasi Hybrid (Studi Kasus: PT. Kelola Mina Laut)
Full text linkProses pengolahan dan pengawetan ikan merupakan salah satu bagian penting dari industri perikanan. Tanpa adanya kedua proses tersebut, peningkatan produksi ikan akan sia-sia, karena tidak semua produk perikanan dapat dimanfaatkan oleh konsumen dalam keadaan baik. Pengolahan dan pengawetan bertujuan mempertahankan mutu dan kesegaran ikan selama mungkin. Ikan hasil pengolahan dan pengawetan umumnya sangat disukai oleh masyarakat karena produk akhirnya mempunyai ciri-ciri khusus yakni perubahan sifat-sifat daging seperti bau, rasa, bentuk, dan tekstur.
Pengelolaan sumber daya perikanan dan kelautan memang dihadapkan pada suatu sistem yang cukup kompleks. Kompleksitas itu terjadi, baik dari sistem sumber daya alam sendiri maupun interaksi antara sistem sumber daya alam dengan aspek manusia. Oleh karena itu permasalahan pengelolaan sumber daya perikanan,pengelolaan, dan pembangunan, sumber daya perikanan masih dirasakan relatif kompleks.
Salah satu metode yang dapat digunakan untuk melakukan optimalisasi adalah dengan menggunakan pemodelan dan simulasi sistem, yang mana simulasi sistem yang digunakan adalah simulasi hybrid. Simulasi hybrid adalah kombinasi dari simulasi dinamik dan simulasi diskrit. Penggunaan simulasi hybrid ini cocok digunakan dalam proses produksi KML FOOD, karena produksi surimi based product, menggunakan mesin otomatis dan menggunakan tenaga manusia. Simulasi hybrid juga dapat menjelaskan masing-masing kelebihan dari setiap simulasi, yang mana simulasi diskrit memiliki scope di bagian operasional sementara simulasi dinamik di bagian strategi. Skenario baru dalam simulasi optimal yang dihasilkan diharapkan memiliki pengukuran manajemen waktu dan biaya lebih baik, sehingga meningkatkan sistem produksi dari KML FOOD. Hasil dari tugas akhir adalah dokumentasi rekomendasi model skenario alternatif berbasis simulasi dinamis yang dapat meningkatkan manajemen waktu dan nilai biaya minimal dalam proses produksi KML FOOD.
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Processing and preservation of fish is an important part of the fishery industry. Without these two processes, increased fish production will be useless, because not all fishery products can be utilized by consumers in good condition. Processing and preservation aims to maintain the quality and freshness of fish for as long as possible. Processed fish and preservatives are generally highly favored by the community because the end product has special characteristics that are the changes in the properties of meat such as smell, taste, shape, and texture.
Management of fishery and marine resources is faced with a fairly complex system. The complexity that occurs, both from the system of natural resources itself and the interaction between the natural resource system with the human aspect. Therefore, problems of fishery resources management, management and development, fishery resources are still felt relatively complex.
One method that can be used to perform optimization is by using modeling and simulation system, which simulation system used is a hybrid simulation. Hybrid simulation is a combination of dynamic simulation and discrete simulation. The use of hybrid simulation is suitable for use in the production process of KML FOOD, due to the production of surimi based products, using automatic machines and using human power. The hybrid simulation can also explain each of the advantages of each simulation, which the discrete simulation has a scope in the operational section while the dynamic simulation in the strategy part. The new scenario in the optimum simulation produced is expected to have better time and cost management measurements, thereby improving the production system of KML FOOD. The result of the final project is the documentation of the recommendation of an alternative simulation model based on dynamic simulation that can improve the time management and minimal cost value in KML FOOD production process
Pemodelan Dan Simulasi Sistem Industri Manufaktur Menggunakan Metode Simulasi Hybrid (Studi Kasus: PT. Kelola Mina Laut)
No full textPemodelan Dan Simulasi Sistem Industri Manufaktur Menggunakan Metode Simulasi Hybrid (Studi Kasus: PT. Kelola Mina Laut)
Full text linkProses pengolahan dan pengawetan ikan merupakan salah satu bagian penting dari industri perikanan. Tanpa adanya kedua proses tersebut, peningkatan produksi ikan akan sia-sia, karena tidak semua produk perikanan dapat dimanfaatkan oleh konsumen dalam keadaan baik. Pengolahan dan pengawetan bertujuan mempertahankan mutu dan kesegaran ikan selama mungkin. Ikan hasil pengolahan dan pengawetan umumnya sangat disukai oleh masyarakat karena produk akhirnya mempunyai ciri-ciri khusus yakni perubahan sifat-sifat daging seperti bau, rasa, bentuk, dan tekstur. Salah satu metode yang dapat digunakan untuk melakukan optimalisasi adalah dengan menggunakan pemodelan dan simulasi sistem, yang mana simulasi sistem yang digunakan adalah simulasi hybrid. Simulasi hybrid adalah kombinasi dari simulasi dinamik dan simulasi diskrit. Penggunaan simulasi hybrid ini cocok digunakan dalam proses produksi KML FOOD, karena produksi surimi based product, menggunakan mesin otomatis dan menggunakan tenaga manusia.Hasil dari tugas akhir adalah dokumentasi rekomendasi model skenario alternatif berbasis simulasi dinamis yang dapat meningkatkan manajemen waktu dan nilai biaya minimal dalam proses produksi KML FOOD
Information Security Evaluation at Hospital Using Index KAMI 5.0 and Recommendations Based on ISO/IEC 27001:2022
Full text linkBali Mandara Regional Hospital integrates information technology into its healthcare services, but ransomware attacks pose significant risks to data security. In accordance with the 2016 Indonesian Ministry of Communication and Informatics regulation, Electronic System Operators (PSE) are required to ensure information security, emphasizing confidentiality, integrity, and availability. To support this, the National Cyber and Crypto Agency introduced the Index KAMI, an evaluation tool aligned with ISO/IEC 27001 standards. This study evaluates the hospital’s information security using Index KAMI 5.0, yielding a score of 177, which classifies its readiness as “Not Eligible” for ISO 27001 compliance. Recommendations for improvement include establishing clear governance policies, implementing systematic risk management, enhancing asset management with integrated inventories, and strengthening data protection through access control and encryption. Additional measures involve improving physical security with surveillance systems and fostering stronger vendor relationships through binding SLA agreements. By adopting these measures, Bali Mandara Regional Hospital can enhance its security system, protect patient data, and achieve compliance with international standards
How Startup Stance IT Leadership: Case Study Business Incubator Program Universitas Indonesia
No full textOversampling vs. undersampling in TF-IDF variations for imbalanced Indonesian short texts classification
Full text linkEven though it is considered a more traditional method compared to more modern algorithms, term frequency inversed document frequency (TF-IDF) nevertheless produces good results in a range of text mining tasks. This study assesses the effectiveness of several TF-IDF modifications for short text classification. Imbalanced datasets are another issue that is addressed in this research. To rectify the imbalanced issue, we integrate standard, log-scaled, and boolean TF-IDF in short text classification with undersampling and oversampling methods. Precision, recall, and f-measure metrics are used to evaluate each experiment. The best result is obtained when applying boolean TF-IDF with the oversampling method. Oversampling methods outperform the undersampling methods in every experiment, although there are some cases where experiments with undersampling methods are considerable. Additionally, our conducted study reveals that employing modified TF-IDF, such as boolean or log-scaled versions, provides greater advantages to classification performance, particularly in handling imbalanced datasets, when compared to solely relying on the standard TF-IDF approach
