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Showing 130 articles found for "Conventional"

APPLICATION OF THE WEIGHTED PRODUCT METHOD OF TEACHER PERFORMANCE ASSESSMENT IN PROVIDING LESSONS

Khoirunnisa, Nurdilla, Efendi, Bachtiar, Sapta, Andy
Abstract: Abstract: A system designed to assist decision-makers in semi-structured situations. Teacher performance appraisal is a technique that will result in better learning using a decision support system. Evaluating teacher performance… rformance in providing lessons at SMK Negeri 1 Setia Janji is still carried out conventionally and not in detail. With an assessment that is not detailed, it is feared that there will be a subjective assessment that will result in social jealousy for teachers who have not received learning recommendations. Evaluation at SMK Negeri 1 Setia Janji is still done manually and has not been detailed for teachers who have not received recommendations. So to overcome these problems, a decision support system was designed using the Weighted Product (WP) method. This study uses 6 criteria. The final result of this research is that the decision support system with the Weighted Product (WP) method can handle problems in teacher performance assessment.   Keywords: Decision Support System; Teacher Performance Assessment; Weighted Product   Abstrak: Sistem yang dirancang agar membantu  pembuat keputusan  pada situasi semi-terstruktur. Penilaian kinerja guru ialah teknik yang akan  menghasilkan pembelajaran yang  lebih  baik menggunakan sistem pendukung keputusan. Proses evaluasi kinerja guru dalam memberikan pelajaran di SMK Negeri 1 Setia Janji masih dilaksanakan secara konvensional dan  tidak terperinci. Dengan penilaian yang tidak terperinci dikhawatirkan akan adanya penilaian yang bersifat subjektif  yang akan mengakibatkan kecemburuan sosial bagi guru yang belum menerima rekomendasi pembelajaran. Evaluasi di SMK Negeri 1 Setia Janji masih dilakukan secara manual dan belum detail untuk guru yang belum mendapatkan rekomendasi. Maka untuk mengatasi permasalahan tersebut, dirancanglah suatu sistem pendukung keputusan menggunakan Metode Weighted Product (WP).  Adapun dalam penelitian ini memakai 6 kriteria. Hasil akhir dari penelitian ini didapatkan bahwa sistem pendukung keputusan dengan metode Weighted Product (WP) dapat menangani permasalahan pada penilaian kinerja guru.   Kata Kunci: Penilaian Kinerja Guru; Sistem Pendukung Keputusan; Weighted Product (WP)

RFE, BOXCOX, AND PCA COMPARISON FOR MULTICLASS CLASSIFI-CATION SUPPORT VECTOR MACHINE OPTIMIZATION

Wardhana, Indrawata, Isnaini, Vandri Ahmad, Wirman, Rahmi Putri
Abstract: Abstract: The technique of multiclass classification based on SVMs has been widely used. SVM optimization will be accomplished by examining the extraction features of Principal Component Analysis (PCA), Box-Cox Transformation,… ation, and Recursive Feature Elimination (RFE). The dataset contains 13,611 rows and 17 variables, generated from the UCI repository's multiclass dry bean data. Barbunya, Bombay, Cal, Dermas, Horoz, Seker, and Sira are just a few of the dry bean kinds available. The dataset was tested using SVM Linear kernel and SVM Radial Basis.According to the results, the combination of scale-center-BoxCox-SVM Radial extraction achieves the maximum accuracy of 93.16 percent and the shortest processing time of 6.10 minutes. 96.00 percent, 100 percent, 96.71 percent, 95.16 percent, 97.60 percent, 97.74 percent, and 91.95 percent, according to bean class.RFE-SVM Radial has a 91.18 percent accuracy and a processing time of 6.55 minutes. BoxCox outperforms conventional techniques in terms of prediction accuracy while requiring less training time.             Keywords: Bean, PCA, BoxCox, SVM, RFE     Abstrak: Klasifikasi Multikelas menggunakan SVM telah banyak digunakan. Pada penelitian ini akan diuji fitur ekstraksi Principal Component Analysis, Box Cox Transformation dan fitur eliminisi Recursive Feature Elimination untuk mendapatkan optimasi SVM. Dataset berasal dari data multikelas kacang kering UCI repository dengan jumlah 13.611 baris dan 17 variabel. Kelas kacang kering yakni :  Barbunya, Bombay, Cal, Dermas, Horoz, Seker dan Sira. Dataset diuji menggunakan kernel SVM Linier dan SVM Radial Basis. Didapatkan hasil, bahwa kombinasi fitur ekstraksi : scale-center-BoxCox-SVM Radial memiliki akurasi terbaik yakni 93,16% dan waktu proses 6,10 menit. Klasifikasi berdasarkan kelas kacang berturut-turut 96,00%,100%, 96,71%, 95,16%, 97,60%, 97,74% dan 91,95%. RFE- SVM Radial hanya memberikan akurasi sebesar 91,18 % dengan waktu proses sebesar 6.55 menit. Penggunaan BoxCox dibandingkan dengan lainnya, memberikan hasil prediksi lebih baik dan namun tidak mempercepat waktu pelatihan.   Kata kunci: BoxCox; Kacang; PCA; RFE; SVM

INTEGRATED SMART TRAFFIC CONTROL SYSTEM MENUJU PEKANBARU SEBAGAI SMART CITY

Taufiq, Reny Medikawati, Sunanto, Sunanto, Rizki, Yoze
Abstract: Abstract: Pekanbaru still using conventional traffic light control system. Pekanbaru as the capital of Riau Province is predicted  udergo the  increased of urban population by 54.5% in 2025. It is important for Pekanbaru… ru to immediately implement smart and efficient traffic management system, so that traffic congestion can be resolved quickly. This research paper provides a design solution for smart traffic light management (Smart Traffic Control System), based on object detection technology that uses deep learning to detect the number and type of vehicles. The number of vehicle is the basis for determining the green light timer automatically. The Smart Traffic Control System (STCS) is integrated with a web based geographic information system (smart map) that can display the current condition  (picture, the number of vehicle, congestion level) of each STCS location. This integrated system has been tested on a traffic light prototype, using a mini computer and a miniature vehicle. This integrated system is able to detect 9 out of 12 vehicles, and able to send data regularly to the smart map.   Keywords: deep learning; smart mobility; smart traffic control system   Abstrak: Pengaturan lampu lalu lintas di Kota Pekanbaru masih dilakukan secara  konvensional. Pekanbaru sebagai ibukota Provinsi Riau diprediksikan akan mengalami peningkatan jumlah penduduk  perkotaan sebesar 54,5% pada tahun 2025. Dengan melihat predikisi ini, penting bagi kota Pekanbaru untuk segera memiliki tata kelola lalu lintas yang cerdas dan efisien agar kemacetan dapat ditanggulangi dengan cepat. Penelitian ini memberikan rancangan solusi untuk tata kelola  lampu lalu lintas cerdas (Smart Traffic Control System), berbasis teknologi object detection  yang menggunakan deep learning untuk mendeteksi jumlah dan jenis kendaraan. Jumlah kendaraan menjadi dasar penentuan timer lampu hijau secara otomatis. Smart Traffic Control System (STCS) terintegrasi dengan sistem informasi geografis berbasis web (smart map) yang secara kontinu menerima informasi kepadatan (gambar terkini, jumlah kendaraan, level kepadatan), kemudian menampilkannya diatas peta Kota Pekanbaru. Solusi sistem terintegrasi ini telah diujikan pada sebuah prototipe lampu lalu lintas, menggunakan komputer mini  dan  miniatur kendaraan. Sistem terintegrasi ini mampu mendeteksi 9 dari 12 kendaraan, dan mampu mengirimkan data secara berkala kepada smart map.   Kata kunci: deep learning; smart mobility; smart traffic control system

RANCANG BANGUN APLIKASI PRESENSI MULTI EVENT DENGAN QR-CODE BERBASIS RESTFUL WEB SERVICE

Pratama, Fandy Indra, Mustagfirin, Mustagfirin, Fachreza, Ardian
Abstract: Abstract: Activities in the world of education and institutions are documents that must be documented which can be used as activity reports to the leadership. One such documentation is attendance documentation because attendance… tendance is sometimes very sensitive because it affects the prerequisites for further activities. Meanwhile, most attendance systems currently use conventional methods, namely printing attendance forms and participants taking notes on the form. After completion of the event, it is recorded in an electronic storage and the original sheet is archived. Meanwhile, universities and schools are required to be sensitive to technology so that they are not out of date. So the researchers proposed a presence system based on Scan Id QR Code based on Restful Web Service technology with the following process: (i) Schedule 1 time in advance; (ii) attendance by scanning the QR-Code ID to a scanner; (iii) Attendance monitoring. This proposed technology can be used for multi-platform and multi-event, so that to use this presence system, each agency can list its activities and its members. And as a member, you can do attendance by just scanning the QR-Code Id you have into a scanner. The development of this system uses the web engineering method because this method is appropriate for developing this system. So that the system is deemed capable of trimming the administration of the committee and minimizing the problem of data fraud and corruption.             Keywords: presence, qr-code, web engineering     Abstrak: Kegiatan pada dunia pendidikan dan instansi merupakan dokumen yang wajib didokumentasikan yang dapat digunakan sebagai laporan kegiatan ke pimpinan. Salah satu dokumentasi tersebut adalah dokumentasi presensi kehadiran karena presensi kehadiran terkadang sangat sensitif karena mempengaruhi prasyarat kegiatan selanjutnya. Sedangkan hampir besar sistem presensi saat ini menggunakan cara konvensional yaitu cetak formulir presensi dan peserta mencatat di formulir tersebut. Setelah selesai acara, dicatat di penyimpanan elektronik dan lembar aslinya diarsipkan. Sedangkan universitas dan sekolah dituntut peka terhadap teknologi agar tidak ketinggalan zaman. Sehingga peneliti mengusulkan sistem presensi berbasis dengan Scan Id qr-code berbasis teknologi Restful Web Service dengan proses sebagai berikut: (i) Jadwal 1 kali diawal; (ii) Presensi dengan cara scan Id qr-code ke mesin scanner; (iii) Pemantauan kehadiran. Teknologi yang diusulkan ini dapat digunakan untuk multi platform dan multi event, sehingga untuk menggunakan sistem presensi ini, setiap instansi dapat membuat daftar kegiatan dan anggotanya masing-masing. Serta sebagai anggota dapat melakukan presensi hanya melakukan scan Id qr-code yang dimiliki ke mesin scanner. Pengembangan sistem ini menggunakan metode web engineering karena metode tersebut tepat untuk mengembangkan sistem ini. Sehingga sistem tersebut dirasa mampu memangkas administrasi panitia dan memperkecil permasalahan kecurangan dan rusaknya data.   Kata kunci: presensi, qr-code, web engineering

APLIKASI PENJUALAN ONLINE KERAJINAN LOKAL KHAS MASYARAKAT NUSA TENGGARA TIMUR BERBASIS ANDROID

Lamawuran, Theresia Yunita, Nani, Paskalis Andrianus, Tedy, Frengky
Abstract: Abstract: East Nusa Tenggara, especially Oemasi village has rich natural potential so that the people of Oemasi village can produce various kinds of high-quality local crafts and have high selling points. The craft that… is produced is usually in the form of woven cloth, scarf, ukulele, and others. The problem experienced by the Oemasi village community in selling crafts is the limited promotional media with conventional methods and the method of selling local crafts via social media also has shortcomings that are stock items that still have to be updated manually and sales history that is still recorded manually. This research aims to engineer the application of local craft sales in East Nusa Tenggara based on android which can be used as an alternative to assist the people of Oemasi village in selling local crafts in East Nusa Tenggara so that sales problems with conventional methods or through social media can be resolved. The software development model used in this research is the Waterfall model.             Keywords: android; East Nusa Tenggara; local craft   Abstrak: Nusa Tenggara Timur khususnya desa Oemasi memiliki potensi alam yang kaya sehingga masyarakat desa Oemasi dapat menghasilkan berbagai macam kerajinan lokal yang sangat berkualitas dan memiliki nilai jual yang tinggi. Kerajinan yang dihasilkan biasanya berupa kain tenun, selendang, ukulele dan lain-lain. Permasalahan yang dialami masyarakat desa Oemasi dalam menjual kerajinan adalah terbatasnya media promosi dengan metode konvensional dan metode penjualan kerajinan lokal via media sosial juga memiliki kekurangan yaitu stok barang yang masih harus diupdate secara manual dan history penjualan yang masih dicatat secara manual. Penelitian ini bertujuan untuk merekayasa aplikasi penjualan kerajinan masyarakat NTT berbasis android yang dapat dijadikan sebagai alternatif untuk membantu masyarakat desa Oemasi dalam melakukan penjualan kerajinan lokal masyarakat NTT sehingga permasalahan penjualan dengan metode konvensional atau melalui media sosial dapat diatasi. Model pengembangan perangkat lunak yang digunakan dalam penelitian ini adalah model Waterfall.   Kata kunci: android, kerajinan lokal; Nusa Tenggara Timur

PENERAPAN MODEL WATERFALL DALAM ANALISIS PERANCANGAN SISTEM INFORMASI INVENTARISASI BERBASIS WEB

Irnawati, Oky, Darwati, Ida
Abstract: Abstract: The author reflects on one private company engaged in the field of communication that is still carrying out the process of inventory of conventional goods. In this study the authors conducted a web-based inventory… ory information system design analysis, the authors used the Waterfall, the Java programming language the author chose in designing this inventory application. This web-based inventory application is to support the process of monitoring goods so that they can be better controlled so that they can become a reference as a decision maker quickly.             Keywords: Inventory, Waterfall Model, Web Based     Abstrak: Penulis melakukan pengamatan terhadap salah satu perusahaan swasta yang bergerak dalam bidang komunikasi yang masih melakukan proses inventaris barang secara konvensional. Pada penelitian ini penulis melakukan analisis perancangan sistem informasi inventarisasi berbasis web, penulis menggunakan model Waterfall, bahasa pemrograman Java dipilih penulis dalam merancang aplikasi inventarisasi ini. Aplikasi inventarisasi berbasis web ini untuk mendukung proses monitoring barang agar dapat terkontrol dengan lebih baik lagi sehingga dapat menjadi acuan sebagai pengambil keputusan dengan cepat.        Kata kunci: Berbasis Web, Inventaris, Model Waterfall

PAYROLL INFORMATION SYSTEM AT PT. ASTRO NIAGA JAYA (SIPESTRO)

Muthia, Dinda Ayu, Budi Setiawan, Anip, Waliyyuddin, Waliyyuddin, Syahrul Gunawan, Muhammad
Abstract: Abstract: Payroll is an acceptance in return from the employer to the employee for a job or service that has been done and is expressed or valued in the form of money determined on the basis of an agreement or legislation… n and is paid on the basis of an employment agreement between the employer and the employee including benefits, both for the employees themselves and for the family. This research takes place at PT. Astro Niaga Jaya. The payroll process at PT. Astro Niaga Jaya is still conventional. Salary calculations are based on different details that hinder the performance process of the human resources department. Errors in calculating salaries can be fatal because it will affect the preparation of financial statements. Therefore, it is necessary to have an employee payroll information system so that the human resources department is not wrong in collecting employee payroll data. The purpose of this paper is to design employee attendance and payroll information systems at PT. Astro Niaga Jaya using Waterfall method in order to produce information that is fast, precise and accurate. The Waterfall method is often used in designing an information system. Payroll Information System can work effectively and efficiently.             Keywords: payroll, information, system

The Transition from Conventional Constitutions to Digital Law: Constitutional Law Challenges in the Age of Artificial Intelligence

Septia, Sya’baniatie Ninda
Abstract: The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions… teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.

Integration of Neuroscience Principles in Science Learning Media: A PICO-Based Systematic Literature Review

Winarni, Susi, Supena, Asep
Abstract: Science education at the elementary school level plays a crucial role in fostering scientific thinking, curiosity, and problem-solving skills from an early age. Nevertheless, science instruction in elementary schools often… en remains teacher-centered, verbalistic, and insufficient in promoting meaningful scientific literacy. In response to these challenges, neuroscience provides a theoretical and empirical foundation for designing learning media that align with how the brain processes, stores, and retrieves information. This study aims to systematically examine the integration of neuroscience principles into science learning media and their effects on elementary students' scientific literacy. A Systematic Literature Review (SLR) was conducted using the PICO framework (Population, Intervention, Comparison, Outcome). Relevant peer-reviewed studies published between 2019 and 2024 were retrieved from Scopus, Google Scholar, ERIC, and DOAJ databases. The review followed four stages: identification, selection, quality appraisal, and thematic synthesis. The results indicate that neuroscience-based interventions—such as Augmented Reality (AR), Brain-Based Learning (BBL), interactive multimedia, and multisensory instructional strategies—consistently improve students' motivation, attention, conceptual understanding, critical thinking, and scientific literacy compared to conventional instructional approaches. The novelty of this study lies in its systematic synthesis of neuroscience-based science learning media through a PICO-oriented framework, highlighting the interaction between cognitive, affective, and technological dimensions of learning. The findings provide important implications for science education, particularly in guiding the development of neuroscience-informed learning media and instructional designs to enhance scientific literacy in elementary schools.

Implementation of Brain-Based Learning to Reduce Mathematics Anxiety in the Teaching of Fractions at Primary School

Erni Nurjanah, Asep Supena
Abstract: This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest… t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.