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All Journal International Journal of Electrical and Computer Engineering Teknika JATI (Jurnal Mahasiswa Teknik Informatika) Scientica: Jurnal Ilmiah Sains dan Teknologi
Sulyono, Sulyono
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences Other

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Alleviating cold start and sparsity problems in the micro, small, and medium enterprises marketplace using clustering and imputation techniques Lestari, Sri; Yulmaini, Yulmaini; Aswin, Aswin; Ma'ruf, Singgih Yulizar; Sulyono, Sulyono; Fikri, Ruki Rizal Nul
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3220-3229

Abstract

Recommendation systems are often implemented in e-commerce and micro, small, and medium enterprises (MSMEs) marketplaces to improve consumer services by providing product recommendations according to their interests. However, it still faces problems, namely sparsity and cold start, thus affecting the quality of recommendations. This research proposes clustering and imputation techniques to overcome this problem. The clustering technique used is k-means, while the missing value imputation method uses average values. The imputation results are then implemented in the k-nearest neighbor (KNN) and naïve Bayes algorithms and evaluated based on performance accuracy. Experimental results show an increase in accuracy of 16.48% in the KNN algorithm from 83.52% to 100%. Meanwhile, the naïve Bayes algorithm increased accuracy by 35.30% from 64.70% to 100%.
SISTEM CERDAS E-SURVEY PENETAPAN DOSEN PRODI TEKNIK INFORMATIKA MENGGUNAKAN FUZZY INFERENCE SYSTEM ( FIS ) Hasip, Muhammad; Sulyono, Sulyono
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 12 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

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Abstract

The selection of the appropriate lecturers for the Computer Science Engineering program is an important factor in maintaining the quality of education in higher education institutions. However, the selection process often involves subjectivity and complexity, especially when it involves multiple criteria and preferences from various relevant parties. Therefore, an intelligent system is needed to assist in selecting the right lecturer. This study aims to develop an Intelligent E-Survey System for Determining Lecturers in the Computer Science Engineering Program using Fuzzy Inference System (FIS). This method was chosen because it can overcome the complexity and subjectivity in decision-making, especially in situations that are uncertain and ambiguous..
SISTEM AKADEMIK PADA SMKN 1 WAY BUNGUR BERBASIS WEB MOBILE Adnan, Zuzlifatul; Sulyono, Sulyono
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 4 (2024): JATI Vol. 8 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i4.10450

Abstract

Kemajuan teknologi berdampak signifikan pada berbagai bidang, termasuk pendidikan, yang menuntut efisiensi dan akurasi. Di SMKN 1 Way Bungur, pengelolaan data akademik yang masih manual mengakibatkan berbagai kendala seperti kesalahan input data dan keterlambatan informasi. Penelitian ini bertujuan mengembangkan sistem akademik berbasis web mobile untuk meningkatkan efisiensi manajemen data, aksesibilitas informasi, dan transparansi pelaporan akademik. Metode SAW digunakan untuk menentukan ranking siswa berdasarkan bobot penilaian. Sistem ini mengurangi kesalahan manusia dan meningkatkan transparansi dengan menyediakan informasi real-time yang meningkatkan hubungan antara sekolah, siswa, dan orang tua. Pengujian menunjukkan seluruh fitur utama berfungsi dengan baik, meliputi login, profil, dashboard, pengelolaan data, jadwal, kehadiran, nilai, transkrip, pembayaran, dan stabilitas sistem dan terbukti siap.
Aplikasi Pengelolaan Data Profil dan Konsentrasi Dosen Wibowo, Hariyanto; Sulyono, Sulyono; Lestari, Sri; Miranda, Thesa
TEKNIKA Vol. 14 No. 2 (2020): Teknika Juli - Desember 2020
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13362499

Abstract

The success of the education process is strongly influenced by the quality of human resources, in this case lecturers as educators. While each lecturer has the potential, expertise, qualifications, competency profile and experience that sometimes varies between one lecturer and another. Therefore the management of profile and concentration data is very much needed so that the department can know with certainty the abilities possessed by the lecturer. In the Department of Informatics the management of lecturer profile and concentration data has not been well managed. so this research proposes the Application of Data Management Profile and Concentration of Lecturers in the Informatics Engineering Department IIB Darmajaya by using a system development method that is prototype. The results of this study are expected to be utilized appropriately for policy making, both in terms of determining lecturers, lecturers, and determining membership peer group research, and also for filling accreditation form data and for display on the web of the Department of Informatics.
Co-Authors Adnan, Zuzlifatul Aswin Aswin Fikri, Ruki Rizal Nul Hariyanto Wibowo, Hariyanto Hasip, Muhammad Ma'ruf, Singgih Yulizar Miranda, Thesa Sri Lestari Yulmaini Yulmaini