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Pengolahan Citra Wajah dengan CNN untuk Absensi
Full text linkFace Recognition Using CNN for Attendance. Collecting Facial recognition systems included in the field of image processing can be integrated into attendance, where attendance can be done using faces to make it easier for employees to attend attendance and reduce the level of cheating in attendance because attendance must be done by employees directly. This research analyzes image processing which is integrated with data set with python programming language and OpenCV library. The face recognition process uses facial recognition based on image feature extraction. This study aims to implement computer vision into a simple face detection system by utilizing the existing libraries in OpenCV and using the Python programming language as the foundation of the system. This study aims to analyze computer vision in a simple face detection system by utilizing the existing library in OpenCV as well as utilizing the Python programming language as the foundation of the system and applying the Convolution Neural Network method
Penerapan Model View Controller pada Perancangan Website Sentra Wisata Kuliner Kota Surabaya
Full text linkApplication of Model View Controller in Designing Surabaya Culinary Tourism Center Website - Surabaya is a city that has the potential for economic and tourism development and growth. One of the potentials being developed by the Surabaya City Government is the potential for Culinary Tourism Centers to introduce various culinary delights in the city of Surabaya. This was realized by the Surabaya City Government by establishing the Wonorejo Culinary Tourism Center (SWK) as a typical Surabaya culinary venue that has a variety of legendary culinary delights. The design of this website-based information media uses PHP 7 programming techniques and MySQL database. With the Model View Controller method and the support of the CodeIgniter framework, it aims to provide information to the public/tourists from Surabaya and outside Surabaya about various Surabaya culinary delights in the existing Culinary Tourism Centers. in Wonorejo. This study uses research methods through literature study, observation, interviews, and questionnaires. After going through internal and external testing, a value of 80.76 was obtained, which can be concluded that the information media can be used to facilitate tourists from Surabaya and outside Surabaya in obtaining information about various legendary culinary delights and other culinary delights in SWK Wonorejo
Pergerakan Non-Playable Character dalam Game Stealth Menggunakan Finite State Machine
Full text linkMovement of Non-Playable Character in Stealth Game using Finite State Machine - Stealth is a game genre that relies on hiding skills and strategizing to complete missions. Challenges in the form of enemy Non-Playable Character (NPC) are one of the vital elements of this genre game. However, NPCs generally only move according to a predetermined line or path of movement, so that their movements can be estimated easily after the player has seen them several times. This causes the movement of NPCs to look monotonous and not challenging. Finite State Machine (FSM) is an artificial intelligence method that can simply model enemy behavior. FSM consists of states and transitions where the state is the current state of the NPC, while the transition is the state of a state. This study models the behavior of enemy NPCs in stealth games using FSM so that it is not easy to predict their movements by adjusting idle time, walking, and moving speed The results of this study indicate that NPC can have nine variations of behavior that can change according to these conditions
Penilaian Kematangan Master Data Management: Studi Kasus Perusahaan XYZ
Full text link[id] Master data adalah data yang paling berharga dengan prioritas tertinggi karena mewakili objek bisnis utama dan merupakan fondasi proses bisnis utama, kualitas master data yang buruk akan menurunkan kualitas dan menimbulkan permasalahan terkait data. Penelitian ini dilakukan untuk mengetahui level kematangan aktivitas master data management pada perusahaan XYZ yang melakukan digitalisasi proses bisnis mereka namun masih memiliki permasalahan yaitu data yang tidak konsisten, silo dan duplikasi data yang merujuk ke penyebab kurangnya kualitas pengelolaan master data. Untuk itu dilakukan penilaian untuk mengetahui level kematangan praktik master data management pada perusahaan dan sebagai landasan untuk melakukan aktivitas peningkatan kualitas data sebagai aset perusahaan dimasa mendatang dengan menggunakan model Spruit-Pietzka sebagai metodologi penilaian dan penyusunan kuisioner. Berdasarkan penilaian yang dilakukan level kematangan tidak berhasil mencapai level 1 karena topik data quality yang gagal mencapai level 1 sedangkan topik data model dan maintenance mencapai level 1, usage and Ownership mencapai level 2 dan data protection berada pada level 3. Level 1 dapat dicapai jika ada kebijakan standar kualitas master data dan pengetahuan kualitas aset data sebagai landasan pengukuran dan peningkatan kualitas data.[en] Master data is the most valuable data with the highest priority because it represents the main business object and is the foundation of the main business process, poor master data quality will reduce quality and cause data-related problems. This research was conducted to determine the maturity level of master data management activities at XYZ company which digitized their business processes but still had problems such as inconsistent data, silos and data duplication which referred to the cause of the lack of quality of master data management. For this reason, an assessment is carried out to determine the maturity level of master data management practices in the company and as a basis for carrying out activities to improve data quality as a company asset in the future using the Spruit-Pietzka model as maturity assessment methodology and questionnaire development. Based on the assessment, the maturity level did not reach level 1 because the data quality topic failed to reach level 1 while the data model and maintenance topic reached level 1, usage and ownership reached level 2 and data protection was at level 3 Level 1 can be achieved if there is a master data quality standard policy and data asset quality knowledge as the basis for measuring and improving data quality
Optimalisasi Aplikasi Mommy Care dengan Metode Forward Chaining untuk Penanganan Keluhan Ibu Hamil
Full text link[id] Kehamilan merupakan fase krusial dalam kehidupan seorang wanita, seringkali dianggap sebagai momen yang paling indah. Selama periode ini, seorang ibu perlu mempersiapkan diri dengan sebaik-baiknya untuk menyambut kelahiran anaknya. Namun, ada berbagai masalah dan ketidaknyamanan yang mungkin dialami selama sembilan bulan kehamilan. Artikel ini membahas penggunaan metode Forward Chaining dalam sistem pakar, di mana pengguna memilih fakta-fakta yang relevan dengan kondisinya, dan kesimpulan ditarik berdasarkan fakta-fakta tersebut. Hasil penelitian ini menunjukkan bahwa sistem ini dapat memfasilitasi akses bagi individu yang ingin mendiagnosis diri sendiri, mencari informasi, dan mendapatkan saran tentang cara cepat menangani keluhan selama kehamilan. Sistem pakar ini juga dapat mengurangi biaya, karena dapat diimplementasikan tanpa perlu konsultasi langsung dengan seorang pakar.[en] Optimization of the Mommy Care Application Using the Forward Chaining Method for Handling Complaints of Pregnant Women. Pregnancy is a crucial phase in a woman's life, often considered the most beautiful moment. During this period, a mother needs to prepare herself as best as possible to welcome the birth of her child. However, there are various problems and discomforts that may be experienced during the nine months of pregnancy. This article discusses the use of the Forward Chaining method in expert systems, where users select facts relevant to their condition, and conclusions are drawn based on these facts. The results of this study show that this system can facilitate access for individuals who want to self-diagnose, seek information, and get advice on how to quickly handle complaints during pregnancy. This expert system can also reduce costs, as it can be implemented without the need for direct consultation with an expert
ML-based Smart Voice Analysis for Healthy and Pathological Voice Detection
Full text linkVoice pathology is increasing dramatically, especially due to unhealthy social habits, being too much talkative, age factor or some kind of pathology in throat. Normally the people who speaks a lot for example, teachers or announcers etc. suffer from voice pathology in their elderly age. A research-oriented simulation project is developed, which will help a general physician to identify this voice pathology. It is work of specialist ENT doctor. This will help and assist general physician to identify pathology and to refer the patient to the specialist doctor. For implementing the work, a hybrid system is developed which is based on two models. For assisting general physician, the model first detects the pathology i.e. normal voice or pathological voice. In the second model the system will classify the type of disease present in the patient. The main objective of this research work is to investigate commonly used features available for feature extraction of voice pathology classification and detection. Then train the system using various machine learning techniques that can provide us with better pathology detection and classification rate. This paper focusses on developing an accurate Mel frequency Cepstral Coefficient feature extraction technique for classifying and detecting voice pathologies using a German Saarbrucken voice database. The system is trained by using four different kinds of machine learning algorithms which are Naïve Bayes, Random Forest, Support Vector Machine, K nearest neighbor and then finding out which algorithm perform well in both of these models. In this research validating the results and comparing it with previous research work is analyzed. Analysis of several different diseases and techniques are also provided in these studies
Pengaplikasian Standar ISO 9126 dalam Rancang Bangun Sistem Informasi Inventori dan Pengawasan Laboratorium Berbasis Android
Full text linkApplication of ISO 9126 Standard in Designing Android-based Inventory and Laboratory Monitoring Information System - The device inventory process is a recording strategy, grouping devices based on the expiration date, laboratory, condition and others to facilitate the use and data collection of devices in the laboratory. The inventory process makes it easier for equipment data collection staff to monitor and document equipment coming in and out of laboratories where practicum equipment is relatively expensive. Schematic development is a collection of elements that are interconnected with one another to form a single unit to achieve one goal. This research will design an Android laboratory application using an inventory information system and CCTV surveillance. The process of testing applications using ISO 9126 with stakeholders and testing effectiveness, efficiency, and usefulness to ensure applications can be used and functionally appropriate by laboratory assistants. can be done up to date, quickly and accurately with the smartphone device of each employee or laboratory assistant and can directly monitor the state of the laboratory. Quality estimation in this study used the International Organization for Standardization (ISO) 9126 standard. The results showed that the developed information system for equipment inventory and monitoring of the CCTV computer laboratory complied with ISO 9126 standards on the aspects of usability, efficiency, functionality, and reliability
Implementasi Algoritma Rabin-Karp pada Pendeteksian Plagiarisme
Full text linkImplementation of Rabin-Karp Algorithm in Plagiarism Detection - Plagiarism is a crime and a scourge of science. To avoid plagiarism in scientific articles, as in the case of this research, string-matching methods can be used. This study aims to implement the Rabin-Karp Algorithm in detecting plagiarism in scientific writing based on the level of text similarity. The Rabin-Karp algorithm was chosen for this research problem because previous studies revealed that the Rabin-Karp premise is to separate the hash value of the input string from the text substring. Assuming they are the same, the character check is performed one more time, and if not, moves the substring aside. The main part of this computation exhibit is successfully calculating the hash of the substring when applied. This research is quantitative. The stages of this research flow were carried out by testing the implementation of the Rabin-Karp algorithm. Based on the calculation above, the percentage of similarity between Test Sentence 1 and Test Sentence 2 is 77.96%. Referring to previous studies, the Winnowing algorithm was found to be better at detecting text similarities than the Rabin-Karp algorithm. This is shown in the results of the similarity detection test of 30 paper documents as test data with the results of the average percentage value. Rabin-Karp Algorithm 41.41% and Winnowing Algorithm 35.15%. This study shows that the Rabin-Karp Algorithm does not work optimally in detecting text similarity, so further research needs additional methods to calculate a good level of similarity to optimize the performance of the Rabin-Karp Algorithm
Penerapan Metode Unified Approac pada Sistem Penggajian Karyawan PT AMS
Full text link[id] Teknologi yang semakin berkembang membuat semua kegiatan semakin lebih mudah, begitu pula dengan pertukaran informasi menjadi semakin cepat di dapat dan kini penerapan Teknologi informasi semakin merambah kebidang bidang lain, Sistem yang semakin mudah di akses dapat membantu seseorang dalam mengakses informasi Namun saat ini yang terjadi pada PT. Arka Mega Sukses (AMS), yang bergerak dalam kegiatan kontruksi, alur proses penggajiannya masih dilakukan secara manual yang terjadi user membutuhkan waktu yang lama untuk pemrosessanya, menyebabkan alur penggajian menjadi terhambat. Dibutuhkan suatu Software Development Life Cycle dimana konsep ini yang menjadi fokus utama pada kegiatan ini dengan melakukan observasi, wawancara dan studi pustakan serta penerapan metode Unified Approac sebagai metode pengembangan perangkat lunak diharapkan mampu meminimalisir masalah yang ada dan dapat memberikan solusi kemudahan dalam sistem penggajian dengan konsep yang tersistem. Dengan ikut seta menerapkan Teknologi informasi pada PT AMS agar proses pengolahan pengajian serta pelaporannya menjadi efektif tepat dan akurat serta efesien.[en] Technology that is growing makes all activities easier, as well as the exchange of information is becoming faster and now the application of information technology is increasingly penetrating into other fields, Systems that are increasingly easy to access can help someone in accessing information But currently what happens to PT. Arka Mega Sukses (AMS), which is engaged in construction activities, the payroll process flow is still done manually which happens that users take a long time to process, causing the payroll flow to be hampered. A Software Development Life Cycle is needed where this concept is the focus of this activity by conducting observations, interviews, and literature studies as well as the application of the Unified Approach method as a software development method is expected to minimize existing problems and can provide easy solutions in the payroll system with a systemized concept. By participating in implementing information technology at PT AMS so that the process of processing recitation and reporting becomes effective, precise, and accurate and efficient
Analisis Minat Penggunaan E-Wallet Gopay dengan Pendekatan Model UTAUT2
Full text linkAnalysis of User Interest in Using Gopay E-Wallet with UTAUT2 Model Approach - Technological and economic developments have resulted in consumer behavior patterns changing from cashless to cashless. The widespread use of cashless e-wallet transactions is due to the emergence of many service providers, one of which is Gopay. Consumer behavior patterns in technology have the potential to utilize as measured by several models. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is used as a model. The objective of this research is to analyze consumer usage behavior of e-wallet services (Usage Behavior) interest in using e-wallet services consumer behavior intentions. Gopay uses the UTAUT2 model. The analysis of this usage behavior model is measured using 6 independent variables, namely performance expectations, effort expectations, social influence, conditions of support, motivation, and hedonic has on the dependent variable usage behavior by examining the effect of intermediary variables on behavior. As well as the intent to use IPMA To evaluate the relevance of each independent variable and its effectiveness about the dependent variable. The methodology employed in this study is quantitative research. Non-probability sampling and purposive sampling are the sampling techniques that have been utilized. The sample size is 400 respondents and the respondent's information is from the survey. The results of this survey were processed with SmartPLS 3.0 with the calculation results of Achievement Expectancy -0.008, EE0.056, Social Impact 0.008, HM0.118, Enabling Condition 0.176, HA Behavioral Intention, 0.4039. Then it is concluded that efficiency expectations, effort expectations, social influence, and HM do not affect user behavior through behavioral intentions. However, BI influences user behavior