e-Jurnal ITATS (Institut Teknologi Adhi Tama Surabay)
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    4009 research outputs found

    Implementasi Metode Single Step Pada Aplikasi Pengelolaan Laundry Untuk Menghitung Laporan Laba Rugi

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    Rumah Laundry MASBRO adalah salah satu penyedia jasa pencucian pakaian yang ada di kota Madiun. Setiap hari nya Rumah Laundry MASBRO bisa 10–14 orderan.  Rumah Laundry MASBRO ini masih menggunakan sistem manual yang masih dicatat di buku dalam mengelola transaksi orderan yang masuk dan biaya–biaya yang dikeluarkan dan juga pencatatan yang masih di hitung secara manual membuat pemilik kesusahan dalam membuat laporan laba rugi. Berdasarkan masalah di atas, yang dapat di tawarkan oleh penulis dengan merancang aplikasi operasional laundry berbasis website pada Rumah Laundry MASBRO. Dalam pembuatan aplikasi operasional laundry menggunakan metode System Development Life Cycle (SDLC) model waterfall.  Laporan laba rugi dibuat menggunakan metode single step dengan mengelompokan bagian pendapatan pada bagian atas dan dijumlakan, setelah itu pengelompokan beban berada dibawah dan dijumlahkan. Selisih dari pendapatan dan beban itu yang dinamakan laba berih atau rugi bersih. Berdasarkan hasil uji coba yang telah didapat dari aplikasi operasional laundry MASBRO menggunakan metode blackbox. Aplikasi operasional laundry berjalan 100%. Admin laundry lebih efisien dalam melakukan transaksi orederan laundry dan lebih mudah untuk mencari transaksi orderan. Dengan pencatatan laporan laba rugi dengan metode single step lebih memudahkan pemilik laundry lebih mudah memantau keuangan dan laporan laba rugi

    Perancangan Sistem Dinamis untuk Optimalisasi Pertumbuhan Ekonomi Nasional Diukur dari Indeks Harga Saham Gabungan

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    Pertumbuhan ekonomi merupakan indikator penting dalam pembangunan suatu negara, menggambarkan tingkat kesejahteraan masyarakat dan kemajuan bangsa. Tujuan penelitian ini adalah untuk mempelajari bagaimana interaksi dinamis antara Indeks Harga Konsumen (IHK), Indeks Harga Saham Gabungan (IHSG), dan Produk Domestik Bruto (PDB) berfungsi untuk mengoptimalkan pertumbuhan ekonomi Indonesia. Metode berbasis literatur menunjukkan bahwa berbagai faktor, termasuk kurs, jumlah uang beredar, suku bunga, dan tingkat inflasi atau deflasi, memengaruhi PDB dan utang luar negeri, serta cadangan devisa. Faktor seperti inflasi, harga minyak dunia, harga emas, dan nilai tukar membentuk IHG, yang menunjukkan kepercayaan pasar modal. Penelitian ini menghasilkan rancangan sistem dinamis yang terdiri dari causal loop diagram dan stock flow diagram sebagai alat analisis untuk menggambarkan hubungan kompleks antar variabel utama. Rancangan ini memberikan kerangka konseptual bagi pengambil kebijakan untuk memahami dan mengelola interaksi variabel-variabel tersebut secara sinergis

    Perbandingan Model Decision Tree, Support Vector Machine dan K-Nearest Neighbors untuk Memprediksi Kualitas Air Minum

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    The need for drinking water is increasing so that appropriate method support is needed to determine water potability. In this study, machine learning models will be implemented including Decision Tree, Support Vector Machine, and K-Nearest Neighbors to determine the best model in classifying drinking water quality from the Kaggle Water Quality dataset. The dataset consists of 3,276 data with 9 parameters consisting of ph, Hardness, Solids, Chloramines, Sulfate, Conductivity, Organic_carbon, Trihalomethanes and Turbidity, and one Potability attribute as a target that indicates the feasibility of consumption. This study will apply several machine learning models consisting of Decision Tree, Support Vector Machine, and K-Nearest Neighbors. Based on the results of the trial using 20% and 30% testing data, the results are close to the same for the confusion matrix model evaluation metrics (Accuracy, F1 Score, Precision and Recall). So it can be concluded that the Decision Tree classification model gets the best Accuracy value among other classification models of 70.50% on 20% testing data and 70.98% on 30% testing data. However, the one chosen as the final classification model is Support Vector Machine because it has the highest value by meeting three requirements with F1 Score, Precision and Recall values of 82.40% each) from the four requirements tested

    Evaluasi Keselamatan dan Kesehatan Kerja Kawasan Wisata Religi X: Upaya Mewujudkan Wisata Religi yang Aman dan Nyaman.

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    Keamanan dan kesehatan merupakan faktor penting yang harus diperhatikan dalam berbagai hal termasuk tempat wisata untuk memastikan bahwa pengalaman yang diberikan kepada wisatawan adalah aman dan nyaman. Faktor-faktor tersebut akan menjadi hal penting dan daya tarik untuk para wisatawan. Mengingat tingginya angka kecelakaan yang terjadi di tempat wisata, Kawasan wisata religi X dianggap memerlukan evaluasi menyeluruh terkait isu tersebut. Artikel ini bertujuan untuk mengidentifikasi berbagai faktor yang berkaitan dengan keselamatan dan Kesehatan di tempat wisata religi X yang terletak di Jawa Barat serta membahas berbagai risiko kesehatan dan keselamatan yang mungkin timbul disertai dengan beberapa rekomendasi pencegahan yang dapat diterapkan oleh pengelola dan wisatawan. Untuk mencapai tujuan tersebut, dilakukan observasi langsung di lapangan serta wawancara guna memperoleh data yang relevan. Dengan demikian, diharapkan risiko yang ada dapat diminimalkan sehingga mampu menciptakan lingkungan wisata yang lebih aman dan nyaman

    Balanced Security and Privacy Protection in Digital Content Distribution Systems

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    Security protection for content providers is essential in a digital content distribution system so that only authorized users can access the content. However, focusing on the security aspect often makes the system ignore the privacy of content users. This article presents a model of protocol that can provide balanced protection of content provider security and user privacy in a digital content distribution system. This protocol is based on oblivious transfer (OT), a standard protocol in cryptography that allows the sender of a message to send a certain amount of information securely to the recipient of the message, such that at the end of the protocol the recipient of the message cannot access more information than specified, while the sender of the message cannot know which information was successfully accessed by the recipient. Assuming the existence of tamper-proof devices, the protocol presented in this article can provide excellent protection for both the security of content providers and the privacy of content users

    Rancang Bangun Alat Monitoring Serta Penjadwalan Pemberi Pakan Kucing Berbasis Internet of Things (IoT)

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    Hal terpenting dalam memelihara kucing adalah pemenuhan kebutuhan pokoknya yaitu pemberian makan. Namun, tidak semua pemilik hewan peliharaan dapat meluangkan waktunya untuk memberi makan hewan peliharaannya tepat waktu dengan jumlah yang sesuai. Penelitian ini bertujuan merancang alat yang dapat melakukan monitoring serta penjadwalan pemberian pakan kucing yang berbasis Internet Of Things (IOT). Hasil dari penelitian ini diharapkan dapat menjadi solusi permasalahan pemberian pakan kucing secara terjadwal dan terukur. Alat yang dirancang pada penelitian ini menggunakan konsep Internet Of Things dengan mikrokontroler ESP32 yang terintegrasi dengan plaform Blynk serta sensor loadcell dan sensor infrared. Metode pengeluaran pakan, alat ini menggunakan screw conveyor. Hasil perancangan alat pemberi pakan kucing telah berhasil mengeluarkan pakan dengan jadwal pemberian pakan dua (2) kali sehari di jam 06.00 WIB dan 17.00 WIB dengan berat 50 gram. Rerata galat berat pakan dari target yang dikeluarkan adalah 9,64% dan Rerata delay durasi pemberian pakan untuk mencapai berat target adalah 4 menit 6 detik. Dari penelitian ini dapat disimpulkan Alat yang dirancang sudah dapat diimplementasikan sesuai dengan perencanaan awal yaitu dapat memberi pakan secara otomatis sesuai dengan jadwal dan berat pakan yang telah ditentukan serta dapat melakukan monitoring sediaan pakan kucing pada wadah saji secara realtime melalui aplikasi Blynk

    Pengoptimalan Pembangkit Listrik Tenaga Surya Di Terminal Purabaya

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    Indonesia's strategic location along the equator provides a significant potential for harnessing solar energy. This research explores the utilization of solar energy to reduce high electricity operating costs at Purabaya Terminal. It aims to design and evaluate a solar power plant (PLTS) system for the terminal, employing two maximum power point tracking (MPPT) methods: Perturb Observe (PO) and Hill Climbing. The study utilizes three months of power consumption data from Purabaya Terminal, alongside solar irradiation and temperature data sourced from the Meteorology, Climatology, and Geophysics Agency (BMKG) in Surabaya. The research methodology involves data collection, simulation using MATLAB software, and a comparative analysis of the two MPPT methods. The findings of this study offer actionable recommendations for reducing electricity costs at Purabaya Terminal and provide a reference framework for designing PLTS systems at other locations. In conclusion, the PO method demonstrated greater efficiency and closely matched the load demand of 110,123 Watts

    Penerapan Knowledge-based system untuk Identifikasi Penyakit Pencernaan dan Pernapasan Manusia

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    Digestive and respiratory diseases are often considered common, but if left untreated, they can lead to death. Lack of public awareness regarding the importance of medical consultation and limited operational time of health services cause many individuals to self-diagnose diseases. This research aims to develop a knowledge-based system to diagnose digestive and respiratory diseases in humans. This system is expected to provide accurate and relevant diagnosis solutions, as well as support the prevention and early treatment of these diseases. This research includes 8 types of diseases analyzed along with 29 symptoms. The process started with identifying the problem area and determining the decision target based on the data of 8 diseases, followed by the creation of a dependency diagram. Next, IF-THEN rules were developed, and after the rules were formed, the next step was to structure the Backward Chaining and Certainty factor process. This process resulted in the conclusion of the diagnosis of digestive and respiratory diseases. During system testing, the diagnosis results are compared with the expert's knowledge. This test aims to ensure a match between the system results and expert knowledge and to test the accuracy of the data obtained. Based on the results of testing 10 samples of processed data, the system showed an accuracy rate of 100%, which proves that this knowledge-based system works well and in accordance with expert knowledge

    Impact of Land Subsidence-Induced Three-Dimensional Surface Deformation on Infrastructure in the Semarang-Demak Alluvial Plain, Indonesia

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    We estimated surface deformation using SBAS-InSAR and the Mogi Source Model is then adopted to elucidate the mechanisms and spatial variability of surface deformation within the Semarang-Demak Alluvial Plain and its impacts on infrastructures. By analyzing predicted vertical and horizontal velocities, we identify intensive groundwater extraction as the primary driver of aquifer compaction, with vertical subsidence exceeding -120 mm/year and volume loss rates surpassing -6,000 m³/year in the urbanized Semarang-Demak region. These findings highlight the three-dimensional characteristics of deformation, forming a characteristic “bowl-shaped” pattern and revealing the sensitivity of infrastructure—expressways, railways, national roads, local roads, and airports—to high strain and tilt gradients. The integrated analysis thus underscores the necessity of sustainable groundwater management and adaptive land-use strategies to mitigate deformation-induced risks. This approach is crucial for safeguarding the long-term functionality and resilience of vital infrastructure in this subsidence-prone coastal region, guiding decision-makers toward strategic and sustainable development practices

    Aerodynamic Analysis of Diffuser with Airfoil-Based Curved Geometry Across Various Prototypes

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    The diffuser can increase air velocity in wind turbines by utilizing pressure differences, particularly in small-scale wind turbines. However, some previous research still uses a simple diffuser shape. One alternative diffuser shape is using the airfoil, the wortmann Fx 63-137 airfoil has high lift, exhibits soft stall characteristics, and has excellent overall performance. This study aims to analyze the wind velocity and wind power output generated by an airfoil-based diffuser. Aerodynamic simulations were used with an inlet wind speed of 5.6 m/s. The diffuser has a diameter of 1020 mm, with length to diameter ratios of 0.1, 0.137, 0.221, and 0.371, with angles of attack from 0° to 8° in 2° increments. The results show that the diffuser 0.371 ratio at an 8° angle of attack achieved the highest wind speed of 10.22 m/s, it generate 513 watts. Conversely, the lowest wind speed was observed with a 0.1 ratio at an 8° angle, where the velocity reached 6.58 m/s, producing 137 watts of wind power. Those findings indicate that diffuser length is directly proportional to wind velocity. However, variation in the angle of attack result in maximum wind velocity at specific angles, and wind power output is directly proportional to wind velocity

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