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Sistem Informasi Persediaan Bahan Baku Produksi Berbasis Website pada CV Deco Abadi Makassar
Get PDFThe management of raw materials at CV Deco Abadi Makassar has problems with checking goods, recording production raw materials, and communication between the warehouse and the company. Online information systems allow for systematic data processing that can be used to overcome these problems. This research aims to: 1) produce a website-based production raw material inventory information system at CV Deco Abadi Makassar; 2) obtain user responses regarding the website-based inventory information system at CV Deco Abadi Makassar that has been produced. This research uses data collection methods through observation and interviews with qualitative data analysis. Then, the design was carried out using a waterfall model consisting of requirements analysis, system design, implementation, and testing. The proposed features include item data input, inventory graphs, stock notifications, and user control. The research results show that 1) the design of a website-based production raw material inventory information system was designed through the stages of needs analysis, system design, implementation, and testing. 2) User responses regarding this information system are to the needs of CV Deco Abadi Makassar
Kontrol Otomatis Pembersih Panel Surya Berbasis IoT Dengan Menggunakan Platform Thingspeak
Get PDFDebu atau kotoran akan menyebabkan penurunan efisiensi pada panel surya sehingga perlu dibersihkan secara berkala. Panel surya dibersihkan dapat dibersihkan secara manual atau dengan alat pembersih panel. Alat pembersih panel masih ada yang dioperasikan secara manual, sehingga diperlukan alat yang dapat beroperasi secara otomatis. Tujuan penelitian ini adalah merancang dan membuat alat pembersih panel surya yang dapat beroperasi secara otomatis dan datanya dapat dimonitor di platform Thingspeak melaui handphone atau komputer sehingga peningkatan efisiensi panel surya sebelum dan setelah dibersihkan dapat diketahui. Penelitian dimulai dengan merancang dan membuat alat pembersih panel surya otomatis yang dikontrol oleh arduino dan dibantu oleh modul RTC. Panel surya diuji dengan cara memberikan tingkat debu yang berbeda dimana data ( tegangan, arus dan temperatur) dapat dimonitor di Thingspeak yang tercatat setiap 10 menit. Alat akan beroperasi secara otomatis pada sore hari setelah data tersimpan (data logger). Hasil penelitian menunjukkan bahwa alat pembersih panel surya dapat beroperasi secara otomatis sesuai waktu yang ditentukan dan pembacaan sensor dapat dimonitor di Thingspeak melalui handphone atau komputer. Penggunaan alat pembersih ini meningkatkan efisiensi panel surya yang berdebu sebesar 2,04% (debu level 1) dan 2,61% (debu level 2). Dengan demikian, alat ini dapat membantu mempertahankan kinerja optimal panel surya dengan membersihkan panel surya secara efektif
Determination of Flocculant Concentration to Increase Quality of Dilute SAP in Sugar Mills
Get PDFThe quality of the sugar produced at a sugar factory depends on the dilute sap from the refining station process stages. The quality of the diluted liquid is influenced by the amount of impurities present. The more impurities contained in the diluted sap, the lower the rate of the diluted fluid obtained. To separate the contaminants present, process aids are needed, and one of them is flocculant. The concentration of flocculant used must be precise to maximize the separation process of sugar and impurities. The determination of flocculant addition has traditionally been based on visual observations of the dilute sap obtained. The results of the research show that the addition of flocculant that has the most influence in improving the quality of diluted sap is a flocculant concentration of 3 ppm, which has a turbidity of 28.69 NTU, pH 7, pol 10.82%, brix 12.88%, and a purity value of 84.01%.
Analysis of Fulfillment of Auditor Requirements in Conducting Audits of Election Participants' Campaign Fund Reports
Get PDFThis research aims to find out what requirements must be met by auditors in conducting an audit of campaign finance reports for election participants for the period of 2024-2029 in Indonesia. This research is a literature research, the data analysis method used in this research is descriptive qualitative. The data collection technique was carried out using the library research method, namely study literature that sourced from statutory regulations and literatures relating to what requirements must be met by auditors in auditing the campaign financial reports of election participants. Based on the results of this research, it can be concluded that there are two main requirements that must be met by auditors, both as AP, Chair and Team Member, in conducting an audit of the campaign finance reports of election participants. These requirements are related to Independence and Competence. The independence and competency requirements in this research are different from the results of previous researchs. The requirements for independence from the results of this research are that it is not affiliated directly or indirectly with election participants and/or campaign teams, is not a member or administrator of a political party, or administrator of a political party proposing candidate pairs and does not have the status of a state civil servant. The auditor is required to make a Statement of Independence. The Competency Requirements that must be fulfilled by the Auditor are having attended training and obtained a certificate of competency in auditing Campaign Fund Reports from a valid professional association, must have audit work experience in KAP, and a minimum education of Bachelor's Degree in Accounting for the chairman and 2 (two) years' experience, for Team members have a minimum education of D3 in Accounting and 1 (one) year of experience. The auditor is required to make a statement of work ability
Analisis Penerapan Sistem Manajemen Keselamatan Konstruksi (Studi Kasus: Proyek Pembangunan Gedung Education Center Tahap II Fakultas Ilmu Sosial dan Ilmu Politik Universitas Hasanuddin)
Get PDFProyek konstruksi di Indonesia mewajibkan setiap perusahaan untuk membuat program yang mengatur keselamatan konstruksi, ini tertuang dalam PERMEN PUPR No.10 Tahun 2021 pasal 2 ayat 1. Proyek Pembangunan Gedung Education Center Tahap II FISIP UNHAS masih kurang dalam penerapan SMKK sehingga perlu dilakukan monitoring, evaluasi dan peningkatan penerapan SMKK. Penelitian dilakukan dengan observasi dan penyebaran kuesioner untuk mengetahui tingkat penerapan SMKK. Penilaian untuk pencapaian 0-59% masuk kategori kurang, 60-84% kategori baik, dan 85-100% kategori memuaskan. Selanjutnya evaluasi penerapan SMKK dengan wawancara pihak terkait serta memberikan solusi peningkatan SMKK. Hasil penelitian diperoleh tingkat penerapan SMKK pada Proyek Pembangunan Gedung Education Center Tahap II FISIP UNHAS sebesar 54,49% masuk dalam kategori kurang. Hasil evaluasi kurangnya penerapan SMKK disebabkan karena kurang rutinnya pelaksanaan safety morning talk dan rapat khusus keselamatan konstruksi, tidak optimalnya penerapan K3, kurangnya pengadaan fasilitas kesehatan, tidak adanya dokumen terkait IBPRP, tidak adanya kebijakan dan peraturan yang mengatur keselamatan konstruksi secara khusus dan tidak dilaksanakan evaluasi secara rutin dan terdokumentasi. Untuk meningkatkan penerapan SMKK dilakukan pengadaan dokumen RKK, pengendalian risiko, pelaksanaan sosialisasi terkait K3, pengadaan personel keselamatan konstruksi, pengadaan fasilitas kesehatan, dan melakukan peninjauan dan evaluasi secara berkala
PENERAPAN MACHINE LEARNING UNTUK MENGATASI KETIMPANGAN DATA DALAM MENENTUKAN KLASIFIKASI UANG KULIAH TUNGGAL (UKT)
Get PDFSingle Tuition Fee or UKT is a tuition fee borne by students every semester. Payment is made every time students enter a new semester while studying at tertiary institutions. One of the state universities in Indonesia that has implemented the UKT payment system is Politeknik Negeri Ujung Pandang. Based on observations, the purchase of UKT is still done manually, so it has the potential to produce decisions that are not on target. This study was classified based on the amount of single student tuition fees using the smote method and without smote. The algorithm used in classifying is SVM, Decision Tree, Random Forest. The data used is 985 UKT data in 2021. Based on experiments that have been carried out with the Random Forest algorithm, it has the best performance compared to the SVM and Decision Tree algorithms. The proportion of results obtained before being hit is accuracy of 84.75%, precision of 79.22%, recall of 81.15% and F1 score of 80.17%. Whereas after applying smote it increased with an accuracy proportion of 98.9%. So it can be interpreted that the best algorithm used in classification is the Random Forest algorithm by applying smote
Implementation of Intrusion Detection System With Suricata on Ubuntu 22.04 LTS
Get PDFThis study seeks to put into action and assess the effectiveness of a Suricata based Intrusion Detection System (IDS), on a Linux Ubuntu 22 04 operating system setup. Suricata was selected as the IDS for its features and strong performance, in identifying types of cyber threats. The execution procedure involves setting up Suricata through installation configuring it and conducting tests in a controlled setting. The efficiency assessment entails studying the detection accuracy alarm rate and response time of Suricata when confronted with attack scenarios. The findings, from the research are anticipated to enhance the protection of information systems that operate using Linux as their base platform
EVALUASI KINERJA LOAD BALANCING DENGAN ALGORITMA SCHEDULLING NEVER QUEUE
Get PDFLoad balancing is used as a technique to handle large loads that cannot be carried out by a single server, so that the server does not experience overload. In handling load sharing, Load balancing uses a scheduling algorithm (Scheduling). The scheduling algorithm that is generally used is Round Robin which works by dividing requests evenly and then creating a queue for the server so that unfinished processes wait in the queue for quite a long time. In the Load balancing system there is an algorithm that adopts two speed models, which works by looking at the server status and the smallest connection delay, namely the Never Queue Algorithm. This study aims to determine the performance of Load balancing when the Schedulling Never Queue Algorithm is applied, based on predetermined scenarios and parameters. This study succeeded in implementing the Never Queue Algorithm in a Load balancing system for the Apache web server where the Time Per Request value will be lower if the Request received is larger when compared to using the Round Robin Algorithm. The Request Per Second value increases when the Requests sent are getting bigger. In terms of sharing server connections, the load balancer will share the load on the number of Requests based on the Shortest Expected Delay (SED) Algorithm, so several web servers receive different numbers of connections, so that processes don't stay in queues for a long time
IMPLEMENTASI DEEP LEARNING UNTUK PENDETEKSIAN PENGGUNA MASKER PADA CCTV: STUDI KASUS PUSKESMAS SUDIANG RAYA
Get PDFThe use of mask is one of the things that needs attention when you want to leave the house to implement health protocols to avoid diseases that are currently troubling people in the world or commonly known as Covid-19. Currently, people are reluctant to come to the hospital for fear of being exposed to the Covid-19 virus, so people who need treatment prefer to visit the puskesmas near their home. However, there are still many people who do not use masks on the grounds that the intended location is close to home. To overcome this can be done by detecting visitors' faces using the camera. So a system is proposed, namely the detection of mask users with the Convolutional Neural Network (CNN) method. One of the widely applied CNN methods for processing image data is YOLO. YOLO (You Only Look Once) is a deep learning-based model developed to detect an object in real-time. YOLO works by looking at the image as a whole, then using a neural network and automatically detecting existing objects. So that in this study the YOLO model, namely YOLOv4, was used as an object detection model in a mask detection system with CCTV video media whose data is sent in real-time