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PERENCANAA PRODUKSI PAVING BLOCK DENGAN MENGGUNAKAN MODEL PROGRAM DINAMIS (DYNAMIC PROGRAMMING) DI CV. SHOHAT GORONTALO.
Get PDF This current research aimed to plan an optimal and scheduled production to minimize defects in production quantities, excess or shortage of production quantities with minimum costs. The method used was Dynamic Progamming to develop optimal scheduling, by forecasting average production using the Autoregressive Integrated Moving Average (ARIMA) model. The ARIMA was employed to forecast the average amount of production data of CV Shohat Gorontalo which were the data for the last 24 weeks or during 6 months. The result obtained was that the minimum cost was always obtained at the inventory figure I = 0, because having less inventory or even no inventory would reduce the total cost due to the small holding costs when compared to production costs. The cost incurred for the production schedule during the July- December of 2023 period was IDR 9,161,954,550. In addition, the data were the optimal result in minimizing production costs using the Dynamic Programming method. Abstract written in English. Abstracts are written in a sequence that contains the purpose of research, the methods used in research, research results, conclusions, suggestions, and research implications. The abstract is concise, concise and written in one paragraph (maximum 200 words) with single space, Times New Roman font and 10 font size
PERENCANAAN GEDUNG RAWAT INAP RS MM DUNDA MENGUNAKAN SOFTWARE SAP 2000
Get PDFThis research aims to analyze the structural analysis of a building using software Since computerization is used to complete every building plan or design, the development of technology and information, especially computerization in the world of construction, cannot be separated anymore and is not a new phenomenon. The decision to use a computer to complete construction plans was based on the fact that computers have the advantage of not only being able to finish quickly but also having accuracy, effectiveness, and ease of use (Dwi Deshariyanto, Anita Intan Nura Diana 2021). The following findings have been achieved based on the final results of the development of this final report. using the SAP 2000 version 22 program to calculate reinforcement in columns, beams, and floor slabs, Using earthquake response spectrum design analysis, earthquake load calculations refer to SNI 1726: 2019 (Procedures for Planning Earthquake Resistance for Buildings and Non-Buildings), The design of this building is based on the type of reinforced concrete structure and the Unique Moment Resisting Frame System (SRPMK). The floor difference is in accordance with the relevant SNI criteri
RANCANG BANGUN KOMPRESOR MINI DENGAN MENGGUNAKAN TABUNG FREON MOTOR INDUKSI AC
Get PDFThis study aims to find out how the components of the material are used in designing a mini compressor building using an AC induction motor freon tube, knowing how the benefits of an AC induction motor freon tube and knowing how to design a mini compressor using an AC induction motor freon tube.
This product research and development model is carried out using development research or often referred to as Research and Development (R & D). Research and development (research and development) aims to produce new products through the development process. The main material used in this research is waste from AC freon tubes. Tool testing was carried out 3 times to get the best time to fill the compressor wind tube. From the test results, it was found that the maximum pressure of 120 Psi was obtained at 15 minutes of filling
APLIKASI BAHAN BANGUNAN “BAMBU” PADA TEMPAT SANTAI (GAZEBO DAN DEGO-DEGO) MAHASISWA PROGRAM VOKASI UNG
Get PDFThis study aims to examine the application of bamboo building materials in the construction of gazebos and relaxation areas (dego-dego) as an implementation of project-based learning for students in the UNG Vocational Program. The research method uses a project-based learning (PBL) approach with stages of preparation, data collection through comparative studies, material delivery by lecturers, and evaluation of bamboo construction products. Activities included field visits to brick and concrete block factories, the creation of concrete models with various mixtures, and the practical application of gazebo construction using bamboo, wood, thatched roofs, palm fiber ropes, and other supporting materials. The results of the study showed a 70% success rate in students' mastery of knowledge and practical skills in applying bamboo as a sustainable construction material. Bamboo has been proven to have optimal structural characteristics as a lightweight, hollow material with bracing properties that strengthen construction. Despite group coordination challenges, this research has made an important contribution to developing an understanding of environmentally friendly construction material diversification and has laid the foundation for the development of sustainable material innovations in the future
SYSTEMATIC LITERATURE REVIEW: BIG DATA DAN ARTIFICIAL NEURAL NETWORKS DALAM KERANGKA STRATEGI DIGITAL MARKETING
Get PDFAbstrak: Systematic Literature Review: Big Data Dan Artificial Neural Networks Dalam Kerangka Strategi Digital Marketing. Tujuan dari penelitian ini untuk mengetahui dan memahami big data dan artificial neural networks dalam kerangka strategi pemasaran digital. Penelitian ini menggunakan basis desk research dengan metode penelitian yang digunakan adalah systematic literature review. Dengan bantuan aplikasi Pulish or Perish dan VOSviewer data dikumpulkan dari Google Scholar, CrossReff, OpenAlex dan PubMed melalui kata kunci big data, artificial neural networks dan digital marketing sejumlah 168 artikel dari hasil penelusuran dan lolos screening yang dilakukan berdasarkan relevansi topik yang diangkat. Hasil penelitian menunjukkan bahwa adanya data yang terstruktur dan tidak terstruktur dan memungkinkan untuk dijadikan sebegai referensi dalam pengambilan keputusan pembelian secara digital terbagi dalam dua jenis big data yakni big data negatif dan big data positif. Big data tersebut menjadi rujukan bagi pelaku usaha untuk menerapkan artificial neural networks dalam aktifitas pemasaran yang dilakukan. Artificial neural networks memungkinkan bagi pelaku usaha untuk memberikan layanan secara customization pada setiap konsumennya karena dengan adanya artificial neural networks, memungkinkan bagi pelaku usaha untuk mengetahui dan mengidentifikasi serta melakukan penelusuran terhadap aktifitas konsumen di internet.
Kata kunci: big data; artificial neural networks; digital marketing
Abstract: Systematic Literature Review: Big Data and Artificial Neural Networks Within the Framework of a Digital Marketing Strategy. The purpose of this research is to identify and understand big data and artificial neural networks within the framework of a digital marketing strategy. This study uses a desk research basis with the research method used is a systematic literature review. Using the Pulish or Perish and VOSviewer applications, data was collected from Google Scholar, CrossReff, OpenAlex and PubMed through the keywords big data, artificial neural network and digital marketing, a total of 168 articles from search results and passed the screening which was carried out based on the relevance of the topics raised. The results of the study show that there is structured and unstructured data that allows it to be used as a reference in making digital purchasing decisions divided into two types of big data, namely negative big data and positive big data. The big data is a reference for business actors to implement artificial neural networks in their marketing activities. Artificial neural networks make it possible for business actors to provide customized services to each of their customers because with the presence of artificial neural networks, it allows business actors to identify and identify and track consumer activities on the internet.
Keyword: big data; artificial neural networks; digital marketin
OPTIMALISASI HASIL PENJUALAN MENGGUNAKAN METODE SIMPLEKS DAN POM-QM PADA UMKM PEMBUATAN TEMPE
Get PDFAbstrak: Optimalisasi Hasil Penjualan Menggunakan Metode Simpleks dan POM-QM pada UMKM Pembuatan Tempe. Pemrograman linear merupakan metode dengan formulasi metematis dengan bentuk linear yang digunakan dalam menentukan nilai pada penyelesaian optimal dengan melakukan cara melakukan maksimasi atau minimasi fungsi tujuan pada suatu kumpulan kendala. Penerapan pemrograman linear digunakan pada penelitian ini dengan tempat penelitian pada UMKM Tempe. Dalam pelaksanaan produksinya, UMKM masih kesulitan dalam menentukan jumlah produksi tempe pada satu hari, dan menentukan prioritas produksi yang memiliki keuntungan maksimum pada produksi tempe. Penelitian ini bertujuan sebagai bahan pertimbangan dalam menentukan keputusan untuk mengoptimalkan produksi tempe, mendapatkan hasil produksi serta penjualan yang optimal guna mencapai keuntungan maksimum dari hasil penjualan pada UMKM Pembuatan Tempe Cengkong. Hasil yang didapatkan dalam penelitian dengan menggunakan metode simpleks menunjukkan biaya Rp. 1.200.000,-, dengan memproduksi 60 tempe berukuran panjang setiap produksi, proses hasil perhitungan ini menggunakan bantuan dengan aplikasi POM-QM untuk mendukung hasil analisis.
Kata kunci: Pemrograman Linear; Metode Simpleks; Hasil Penjualan; UMKM; POM-QM
Abstract: Optimization of Sales Results Using Simplex Methods and POM-QM on MSMEs Making Tempe. Linear programming is a method with a metematic formulation with a linear form that is used in determining the value at the optimal solution by maximizing or minimizing the goal function on a set of constraints. The application of linear programming was used in this study with a research site on Tempe MSMEs. In carrying out their production, MSMEs still have difficulty in determining the amount of tempeh production on one day, and determining production priorities that have maximum profits on tempeh production. This study aims to be a consideration in determining the decision to optimize tempeh production, get optimal production and sales results in order to achieve maximum profit from sales results at MSMEs making Tempe Cengkong. The results obtained in the study using the simplex method showed a cost of Rp. 1,200,000,-, by producing 60 tempe measuring in length each production, this calculation result process uses the help of the POM-QM application to support the analysis results.
Keywords: Linear Programming; Simplex Method ; Sales Results; MSMEs; POM-Q
BUSINESS PROCESS MANAGEMENT SISTEM PENDAFTARAN RAWAT INAP PASIEN RS DEWI SRI MENGGUNAKAN METODE ROOT CAUSE ANALYSIS
Get PDFAbstrak: Business Process Management Sistem Pendaftaran Pasien Rawat Inap RS Dewi Sri Menggunakan Metode Root Cause Analysis. Efektivitas dan efisiensi proses bisnis menjadi tujuan bagi manajemen, RS Dewi Sri sebagai organisasi yang bergerak dibidang pelayanan kesehatan, memiliki tujuan untuk meningkatkan kualitas pelayanan yang berdampak pada kepuasan pelayanan. Penelitian ini bertujuan untuk melakukan analisis business process management (BPM) untuk peningkatan proses bisnis di RS Dewi Sri dengan ruang lingkup pendaftaran pasien rawat inap. Metode root cause analysis diusulkan untuk dapat memotret masalah dan memberikan solusi peningkatan proses bisnis pendaftaran di RS Dewi Sri. Hasil penelitian ini mengungkap masalah terkait efisiensi dan efektivitas proses bisnis serta usulan ide peningkatan proses bisnis yang dapat diimplementasikan untuk menginisiasi pengembangan aplikasi RS Dewi Sri, dengan outcome peningkatan kepuasan layanan kepada pasien serta peningkatan performance dari bagian pendaftaran.
Kata kunci: problem analysis; root cause analysis; business process management; proses bisnis; efisiensi, efektivitas.
Abstract: Business Process Management Inpatient Registration System for Inpatient Dewi Sri Hospital Using Root Cause Analysis Method. The effectiveness and efficiency of business processes is a goal for management, Dewi Sri Hospital as an organization engaged in health services, has a goal to improve service quality which has an impact on service satisfaction. This study aims to carry out a business process management analysis to improve business processes at Dewi Sri Hospital with the scope of inpatient registration. The root cause analysis method is proposed to be able to photograph the problem and provide solutions to improve the registration business process at Dewi Sri Hospital. The results of this study reveal problems related to the efficiency and effectiveness of business processes as well as proposed business process improvement ideas that can be implemented to initiate the development of the Dewi Sri Hospital application, with the outcome of increasing patient service satisfaction and improving performance from the registration department.
Keywords: problem analysis; root cause analysis; business process management ; business process; efficiency, effectivenes
OPTIMASI CONVOLUTION NEURAL NETWORK UNTUK DETEKSI COVID-19
Get PDFAbstrak: Optimasi Convolution Neural Network Untuk Deteksi Covid-19. Kondisi pandemi seperti sekarang ini diperlukan sebuah algoritma pembelajaran mesin untuk mendeteksi covid-19 secara otomatis berdasarkan pada gambar rontgen dada guna memudahkan dalam mambantu pengambil keputusan. Penelitian ini ingin membandingkan arsitektur CNN AlexNet dan MobileNetV2 untuk mendeteksi (a) covid-19, (b) lung opacity, (c) normal, (d) viral pneumonia. Data himpunan rontgen dada yang digunakan sejumlah 4000 yang berasal dari kaggle.com, 0.8 data dibagi untuk pelatihan sedangkan 0.2 nya digunakan untuk pengujian. Optimizer yang digunakan yaitu keras SGD momentum, dengan nilai learning rate 0.005 dan momentum 0.9, serta epoch 50. Ukuran gambar untuk input yaitu 224x224 serta ukuran batch 32. Hasil optimasi dari kedua algoritma tersebut yaitu, MobileNetV2 lebih baik untuk mendeteksi covid-19 dengan nilai akurasi presisi mencapai 99%. Penelitian selanjutnya dapat membandingkan algoritma CNN yang lainnya serta data himpunan yang lebih banyak.
Kata kunci: CNN; AlexNet; MobileNetV2; Covid-19
Abstract: Convolution Neural Network Optimization for Covid-19 Detection. In the current pandemic conditions, a machine learning algorithm is needed to detect COVID-19 automatically based on chest X-ray images to make it easier to assist decision makers. Aim study be disposed for compare the architecture of CNN AlexNet and MobileNetV2 to detect (a) covid-19, (b) lung opacity, (c) normal, (d) viral pneumonia. The data set of chest X-rays used are 4000 from kaggle.com, 0.8 of the data is shared for training while 0.2 is used for testing. The optimizer used is hard SGD momentum, with a value of leaning rate 0.005 and momentum 0.9, and epoch 50. The image size for the input is 224x224 and the batch size is 32. The optimization results from the two algorithms are, MobileNetV2 is better for detecting covid-19 with an accuracy value The precision reaches 99%. Future research can compare other CNN algorithms and larger data sets.
Keywords: CNN; AlexNet; MobileNetV2; Covid-1
EVALUSI PENGENDALIAAN STOCK OBAT OBATAN DI APOTEK FDF BERBASIS PENDEKATAN EOQ DAN MIN-MAX
Get PDFAbstrak: Evaluasi Pengendalian Stock Obat Obatan di Apotek FDF Berbasis Pendekatan EOQ dan Min-Max. Apotek FDF melaksanakan kegiatan kefarmasian yang didalamnya terdapat pengadaan obat, penyimpanan obat, peracikan dan penyaluran. Permasalahan yang sering terjadi pada apotek adalah pada kontrol stok barang dan juga kadaluwarsa obat, dimana pada apotek ini penulisan laporan seperti laporan barang masuk dan keluar, laporan penjualan, laporan persediaan barang dan lain-lain masih menerapkan metode konvensional yaitu penulisan laporan secara manual pada buku, sehingga kurang efektif dan efesien. Penelitian ini bertujuan untuk mengevaluasi kebijakan perusahaan dalam mengendalikan persediaan dengan membandingkan metode Min-Max, EOQ, dan menentukan ROP. Penelitian ini menggunakan data kuantitatif yaitu permintaan barang pada bulan sebelumnya, biaya penyimpanan dan pemesanan. Penelitian menunjukkan bahwa hasil metode Min-Max menghasilkan efisiensi terbaik dengan total biaya persediaan yaitu Rp.44.950 untuk 3 jenis obat berjenis tablet 6.
Kata kunci: stok, apotek, ABC, EOQ, metode Min-Max.
Abstract: Evaluation of Drugs, Inventory Control in FDF {Pharmacy using EOQ and Min-Max Method. Pharmacy FDF is a drug and medical equipment store where pharmaceutical activities are carried out, which include drug procurement, drug storage, compounding, and distribution. The management has been figuring out a comprehensive method for evaluating problems exceeding supply stock control and drug expiry. This study aims to evaluate the company's policy in controlling the supply of drugs and medical types of equipment by comparing the Min-Max method, Economic Order Quantity, and Re-Order Point. This study uses quantitative data, namely the demand for goods in the previous month and storage and ordering costs. The results showed that the Min-Max method produced the best efficiency with a total inventory cost of IDR 44,950 for three types of six tablets.
Keywords: stock, min-max, ABC, pharmacy, Min-Max
PENGARUH MODEL KOOPERATIF GALLERY WALK TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIKA DITINJAU DARI SELF CONFIDENCE
Get PDFThis study examines whether the mathematical communitical skills of studens taught with the gallery walk cooperative learning model are effective, reviewed from the self-confidence of students in grade VII at SMP Negeri 1 Botupingge. This Quasi Experiment research implements the treatment by level 2 x 2 design with a two-track analysis test and a Tukey test. The results obtain that the mathematical communication skills of students with high self-confidence in gallery walk cooperative learning are 79.86, and student with low self-confidence in direct learning are only 64.29. it can also be proven through tests with a significant level of 5% and df=33 showing tcount > tcount, 3.485, α=0.05, and ttable=2.042. in conclusion, the mathematics communication skills of student with high self=confidence that are taught by gallery walk cooperative learning are higher and more effective than students with low self-confidence that are taught by direct learning