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Sistem Pendukung Keputusan Pemilihan Guru Terbaik di SMK Pustek Serpong Fitri Duwiyanti; Maulana Ardhiansyah
International Journal of Education, Science, Technology, and Engineering Vol 2 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0201.18

Dalam upaya meningkatkan mutu pendidikan untuk para siswa sebagai generasi penerus bangsa dibutuhkan guru yang berkompeten dalam memberikan pendidikan kepada siswa. Sistem Pendukung Keputusan di dunia Pendidikan dipandang sebagai aset penting untuk menunjang kelancaran dan keakuratan dalam pencapaian suatu tujuan. SMK Pustek Serpong belum memiliki sistem pendukung keputusan untuk membantu Kepala Sekolah dalam melakukan pemilihan guru terbaik, pengambilan keputusan secara manual akan menghasilkan penilaian yang tidak objektif sehingga tidak tepat. Oleh karena itu, penggunaan metode TOPSIS dapat bermanfaat dalam mendukung sistem pengambilan keputusan dikarenakan metode ini dapat mendukung penilaian kriteria seperti absensi, perilaku, disiplin, kemampuan mengajar dan tanggungjawab guru serta pembobotan nilai. TOPSIS menggunakan prinsip bahwa alternatif terpilih harus mempunyai jarak terdekat dari solusi ideal positif dan jarak terpanjang dari solusi ideal negatif untuk menentukan kedekatan relatif dari suatu alternatif dengan solusi optimal. Hasil yang dicapai dari sistem pendukung keputusan ini adalah sistem ini terbukti dapat membantu SMK Pustek Serpong dalam melakukan pemilihan guru terbaik, penerapan metode TOPSIS terbukti dapat membantu Kepala Sekolah dalam pengambilan keputusan pemilihan guru terbaik. Decision Support System for Selection of the Best Teachers in SMK. Pustek Serpong Abstract: In an effort to improve the quality of education for students as needed future generation of teachers who are competent in providing education to students. Decision support system (DSS) in the world of education can be seen as an important asset to support the smoothness and accuracy in achieving a goal. SMK Pustek Serpong does not yet have a decision support system to assist principals in the selection of the best teachers, decision making manually will result in an objective assessment that is not appropriate. The use of TOPSIS method in the decision support system is because this method strongly support the assessment of criteria such as absenteeism, attitude, and discipline, teaching ability, and teacher responsibilities, and weighting the value of. TOPSIS uses the principle that the chosen alternative must have the shortest distance from the ideal solution and longest distance from the ideal negative solution to determine the relative proximity of an alternative to the optimal solution. The results archieved from this decision support system is that this system is proven to help SMK Pustek Serpong in the selection of the best teachers, the application of TOPSIS method is proven to help principals in making the best teacher selection decisions. Keywords: Decision Support System, Selection, TOPSIS.

SISTEM PENDUKIUNG KEPUTUSAN PADA SISTEM SELEKSI PENERIMAAN GURU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Nurjaya Nurjaya; Maulana Ardhiansyah; Rezki Suryana
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Teacher is an important element in the support system, therefore function and position of teachers in improving the quality of learners need to be considered seriously. Basically, teachers are professionals in the field of education that has the task of teaching, educating, and guiding students to become a man is impersonal. Thus, teachers have an important position and responsibilities of a very great deal in the success or failure of educational programs. In order to facilitate the selection process for the teachers, the school can use the Decision Support System Decision Support System that is used as a tool for decision makers to expand the capabilities of the decision makers, but not to replace the judgment of the decision makers. The method used is the Simple Additive weighting, Simple Additive Weighting (SAW) suitable for decision-making process because it can determine the weight values for each attribute, followed by indexing process that will select the best alternative from a number of the best alternative. It can be concluded from this study that the SAW method is very relevant to solve the problem of decision makers.

RANCANG BANGUN SISTEM PENDETEKSI ASAP KEBAKARAN MENGGUNAKAN NODEMCU ESP8266 BERBASIS INTERNET OF THINGS (STUDI KASUS : SMK IPTEK TANGSEL) Dila Oktiviani; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 07 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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This research aims to design a tool to become a fire detection system in a school. Currently fire detection is still done manually based on human senses, which has many drawbacks, including delays in school occupants knowing and responding to fire and smoke at school. To overcome the problem above, namely, by making a fire detector. This fire detection system uses NodeMCU as a microcontroller and two sensors, namely a fire sensor and a smoke sensor, as fire and smoke detection devices. NodeMCU is connected to fire sensors and smoke sensors installed in schools. When the fire sensor or smoke sensor detects signs of fire, NodeMCU will give a signal to the alarm system connected to the user's smartphone to warn residents or school officials. This system is very useful for reducing the risk of fire occurring in schools and helping residents or school officials to immediately take appropriate action when a fire occurs. Based on the design, development, implementation of the prototype and the research that has been carried out, it can be concluded that the final conclusion from the design of a fire detection device is that the system can work properly and carry out its function as a good detector of fire and smoke, which makes residents and school staff aware of the presence of fire. fire and smoke in the school environment earlier, also provide notifications to the smartphones of residents and school staff if fire or smoke is detected by the sensor

Rancang Bangun Sistem Penguncian Pintu Menggunakan Sensor Fingerprint Berbasis NodeMCU ESP8266 (Studi Kasus: Lab Komputer SMK Grafika Yayasan Lektur) Alfian Pratama Putra; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 07 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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The computer lab door finishing system is an important component in maintaining security and managing access to the computer lab room in schools. Automatic door locking has become a technology that is increasingly popular in various environments, such as homes, offices and public facilities. To increase the security and convenience of using automatic doors, the use of fingerprint recognition has become an interesting approach. This study aims to develop and implement an automatic door locking system using fingerprint technology. In this abstract, we introduce a solution that combines fingerprint technology (fingerprint) and the NodeMCU ESP8266 module to create a secure, efficient and easy-to-use door display system. This system utilizes the NodeMCU ESP8266 module as a microcontroller platform to control the door management mechanism automatically. This module is equipped with WiFi capability, so it can be connected to a local network or the internet. Fingerprint is used as a user authentication method which is integrated with the fingerprint sensor connected to the NodeMCU ESP8266. In its implementation, this system has several advantages. First, the use of fingerprint technology provides a high level of security, because a fingerprint is a unique identity that is difficult to fake. Second, integration with the NodeMCU ESP8266 module allows the system to be connected to a local network or the internet, so that it can be controlled remotely and allows administrators to easily manage user access. Third, these systems can be implemented at relatively low cost and using commercially available hardware. In this study, we tested the computer lab door delivery system using a fingerprint and the NodeMCU ESP8266 module. The test results show that the system can recognize fingerprints with high accuracy and provides a fast response when opening or locking the door. Thus, the proposed computer lab door construction system has great potential to improve security and manage access to computer lab rooms in schools efficiently. Further development can be done to extend the functionality of the system, such as integration with more complex access management systems.

Implementasi Augmented Reality Sebagai Media Pengenalan Perangkat Jaringan Komputer Menggunakan Metode Marker Based Traking Berbasis Android Studi Kasus SMK Prudent School Aldi Wibi Kusumah; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Technological developments have an effect on aspects of education that have an impact on learning activities. In computer network learning, there is still at least the use of media that has an impact on students' understanding of the material for computer network devices. Augmented Reality is the incorporation of two-dimensional or three-dimensional virtual objects into a real three-dimensional environment, then projecting these virtual objects in real time. By utilizing the computer or smartphone, many technology-based products can be made. Augmented Reality-based applications with marker-based tracking techniques become a solution in practicing computer network devices at Prudential School Vocational Schools, especially for class 10 computer network engineering at Prudential School Vocational Schools for users, both for teachers and students. The concept of this application is the introduction of computer network devices at Prudential School Vocational Schools through the camera installed on the user's smartphone. by pointing the smartphone camera at the marker the user will get information about the desired computer network device.

Sistem Informasi Kontrol Stock Barang Berbasis Web Menggunakan Metode RAD (Rapid Application Development) (Studi Kasus : Toko Mutiara) Ari Prasetya; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 01 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Information technology is an important need in advancing the company, a variety of information technology can be used for work purposes, one of which is a website-based application. As in the sales business, technology can be used as a tool in the work process, such as managing stock control of goods. Information systems for stock control This item is a web-based system to help the pearl shop business process. This study discusses the Web-Based stock control information system using the RAD (Rapid Application Development) method and this is made to facilitate pearl shop owners in terms of data collection and report management. The results of this study are a web-based inventory control information system that can help the store in the service process in order to find out how much stock of goods is left and can be reused. It is hoped that in the future this application can be developed so that it can be run on different platforms.

Sistem Pelayanan Kasir Dengan Pemberian Salam Dan Pendeteksi Pengunjung Berbasis Arduino (Studi Kasus : PT.HDI) Wahyu Diantoro; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 10 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Cashier service is an important part of every sales transaction process that deals directly with consumers. Where Services A cashier must be able to serve consumers feel comfortable. Although the main task is to receive transactions, it cannot be separated from service. As is the case with PT.HDI Center Bintaro's stockist, where greeting services for consumers still have to be spoken directly by a cashier based on the statement above, the application of the Arduino Uno-based Ir Obstacle sensor at PT. HDI Center Bintaro can speed up the greeting service process to visitors, besides that it can record visitors who arrive accurately and quickly. In the results of the trial system that has been completed and successfully created, the system will soon be implemented at PT.HDI Center Bintaro.

PENERAPAN FUZZY INFERENCE SYSTEM METODE TSUKAMOTO DALAM EVALUASI PEMBELAJARAN SISWA DI YAYASAN AL LATHIIF KHOTIBUL AKHYAR Raudhatul Syifa, Siti; Maulana Ardhiansyah
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 6 No. 4 (2025): November
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

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This study aims to develop a learning evaluation system based on the Fuzzy Inference System (FIS) using the Tsukamoto method to improve the objectivity and efficiency of the assessment process at the Al Lathiif Khotibul Akhyar Foundation. Until now, the student assessment process at this tutoring institution has been conducted manually and subjectively. By using fuzzy logic, evaluation aspects such as discipline, concept understanding, and problem-solving can be assessed more measurably. The research results show that the developed system is capable of providing evaluations that are more accurate, consistent, and aligned with the actual conditions of the students. This system is implemented as a web-based application using PHP and MySQL, and tested using the black box method to ensure that all functions operate according to requirements. Keywords: Fuzzy Inference System, Tsukamoto Method, Learning Evaluation, Fuzzy Logic, Decision Support System

Implementasi Face Recognition Untuk Tracking dan Akurasi Kehadiran Karyawan Berbasis android di Barberbos Barbershop: Studi Kasus pada Barberbos HRIS Hidayat, Harri; Maulana Ardhiansyah
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 6 No. 4 (2025): November
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

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Penelitian ini membahas implementasi sistem absensi karyawan berbasis pengenalan wajah (face recognition) yang dirancang untuk meningkatkan akurasi dan transparansi pencatatan kehadiran di Barberbos Barbershop. Sistem dikembangkan pada platform Android menggunakan Flutter dengan integrasi Google ML Kit dan TensorFlow Lite untuk proses deteksi dan pengenalan wajah. Metode pengembangan yang digunakan adalah model Waterfall. Hasil penelitian menunjukkan bahwa sistem mampu melakukan proses absensi secara otomatis, mengurangi kesalahan manusia (human error), serta memungkinkan pemilik usaha melakukan pemantauan secara real-time. Pengujian menggunakan metode black-box membuktikan bahwa seluruh fitur utama, seperti login, pendaftaran wajah, dan pencatatan absensi, berjalan dengan baik. Sistem ini terbukti efektif dalam meningkatkan efisiensi operasional dan kedisiplinan karyawan melalui pencatatan kehadiran yang otomatis, akurat, dan transparan.

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