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All Journal Kilat International Journal of Education, Science, Technology, and Engineering (IJESTE) OKTAL : Jurnal Ilmu Komputer dan Sains
Maulana Ardhiansyah
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Astronomy Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Social Sciences

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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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2180.774 KB) | DOI: 10.33322/kilat.v7i2.356

Abstract

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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Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Co-Authors Alfian Pratama Putra Dila Oktiviani Elfrida Ratnawati Fitri Duwiyanti Rezki Suryana