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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Indonesia Sosial Teknologi Journal of Technology and System Information
Yudi Kristyawan, Yudi
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Sistem Rekomendasi Pemilihan Komponen Komputer Menggunakan Metode AHP dan Profile Matching Salmanarrizqie, Ageng; Vitianingsih, Anik Vega; Kristyawan, Yudi; Maukar, Anastasia Lidya; Marisa, Fitri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7643

Abstract

Computers have become one of the technological tools that play a crucial role in enhancing society's productivity. Therefore, many desktop computer users assemble their own computers to achieve computer performance according to their preferences or needs. However, some people lack information about the variations, specifications, and capabilities of each computer component to be assembled. This research offers a recommendation system that is part of a decision support system (DSS) to assist users in providing recommendations for computer components that are being sought and needed based on brand, price, and specifications using the Analytic Hierarchy Process (AHP) and Profile Matching methods. Parameters are based on the processor, motherboard, graphics card (VGA), storage, RAM, power supply, and casing with priority categories based on specifications, price, and brand. Data weighting is done using the Analytic Hierarchy Process (AHP) method, while the Profile Matching method is used for ranking the weighting results. The research results show an accuracy rate of 60% using the Profile Matching method, while the AHP method achieves an accuracy rate of 57%.
Comparative Analysis of Saw and AHP Methods in The Decision Support System for The Selection of The Best Employee at The Teacher Professional Education Agency, State University of Surabaya Ardi, Syaiful; Cahyono, Dwi; Kristyawan, Yudi
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 2 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i2.8928

Abstract

The success of an institution is highly dependent on the quality of its human resources (HR). Employee performance evaluation is essential in determining strategic decisions such as promotions, mutations, and competency improvement. However, the manual evaluation process often faces obstacles such as delays and human error. This research aims to develop a decision support system (SPK) to select the best employees by applying the analytical hierarchy process (AHP) and simple additive weighting (SAW) methods. The research method used is the System Development Life Cycle (SDLC), which includes the stages of planning, needs analysis, system design, implementation, testing, and maintenance. Testing is carried out by Black Box Testing, White Box Testing, and acceptance testing by users (acceptance test). Based on the tests conducted using data per semester from all employee activities in performance assessment, the author concludes that the appropriate method based on the dataset used from the comparison of the use of the AHP and SAW methods in the selection of the best employees at the Teacher Professional Education Agency of the State University of Surabaya is the AHP method which gets results of 100% precision, 84% recall, 84% accuracy,  and 91% of F1 scores. The results show that the methods and algorithms used can produce the best alternative recommendations for the Teacher Professional Education Agency of the State University of Surabaya. This study concludes that implementing AHP-based SPK can increase objectivity and efficiency in selecting the best employees. The implications of this research are expected to help institutions manage employee performance more systematically and accurately, as well as encourage the improvement of the quality of human resources in the academic environment.
SISTEM INFORMASI MANAJEMEN STOK OBAT PADA APOTEK JAFNA MENGGUNAKAN METODE FEFO Fitrulloh, Moch. Jassar Aqsal; Kristyawan, Yudi; Kacung, Slamet
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.6029

Abstract

Teknologi memberikan dampak positif dalam meningkatkan efisiensi, termasuk dalam pengelolaan stok obat di apotek. Penelitian ini mengembangkan sistem informasi manajemen stok obat berbasis metode FEFO (First Expired, First Out) untuk memprioritaskan penggunaan obat yang mendekati masa kadaluarsa. Sistem dibangun dengan model waterfall dan fitur seperti pencatatan data obat, pemantauan obat kadaluarsa, transaksi obat masuk dan keluar, serta hak akses multi-user. Pengujian dilakukan melalui unit testing, sistem testing, dan acceptance testing. Hasil implementasi menunjukkan bahwa sistem mampu mengelola stok secara otomatis, dan meningkatkan efisiensi operasional. Seluruh fitur berfungsi sesuai skenario berdasarkan Blackbox Testing. Pemeliharaan dilakukan melalui backup data berkala dan evaluasi sistem. Umpan balik pengguna menyatakan sistem mudah digunakan dan membantu pengambilan keputusan. Sistem ini terbukti efektif sebagai solusi digital untuk manajemen obat di apotek
SISTEM PAKAR PENENTUAN POSISI PEMAIN SEPAK BOLA MENGGUNAKAN METODE FORWARD CHAINING Ramadhani, Illham; Kristyawan, Yudi; Vitianingsih, Anik Vega
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.6151

Abstract

Penelitian ini bertujuan mengembangkan sistem pakar untuk menentukan posisi ideal pemain sepak bola berdasarkan analisis keterampilan teknik, kondisi fisik, serta aspek mental pemain menggunakan metode forward chaining. Permasalahan yang diangkat adalah ketidaktepatan penempatan posisi pemain akibat penilaian subjektif pelatih tanpa dasar objektif. Sistem ini menggunakan data spesifik berupa 33 parameter keterampilan yang terbagi menjadi tiga kategori utama yaitu technical skill, physical skill, dan mental skill. Aturan (rule base) yang disusun mencocokkan kombinasi kemampuan dengan posisi ideal pemain dari kiper hingga penyerang. Sistem dikembangkan menggunakan pendekatan SDLC model Waterfall dan diimplementasikan berbasis web menggunakan framework Laravel. Hasil validasi menunjukkan tingkat akurasi sistem sebesar 81,8%, presisi 100%, dan F1-score 83,3%. Temuan ini menunjukkan bahwa sistem mampu memberikan rekomendasi posisi pemain secara objektif, logis, dan terstruktur. Namun demikian, sistem masih bergantung pada kelengkapan data input dan aturan yang disusun dalam basis pengetahuan. Pengembangan lebih lanjut dapat dilakukan dengan menambahkan metode fuzzy logic untuk menangani ketidakpastian dalam penilaian, serta memperluas cakupan sistem ke berbagai kelompok umur dan level kompetisi.
Recommendation System to Determine Achievement Students Using Naïve Bayes and Simple Additive Weighting (SAW) Methods Jazaudhi’fi, Ahmad; Vitianingsih, Anik Vega; Kristyawan, Yudi; Lidya Maukar, Anastasia; Yasin, Verdi
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.19746

Abstract

Giving appreciation to outstanding students can motivate students to compete with each other in learning. MA Tanwirul Qulub Tanggungan often experiences difficulties in determining outstanding students due to There is no application that can assist school management in identifying outstanding students, the implementation is considered less than optimal. besides that, the determination of outstanding students is still based on report cards that are only ranked, and there are no criteria that refer to the K-13 curriculum. The purpose of this research is to offer a solution to create a recommendation system for selecting outstanding students using the parameters of midterm exams, final exams, assignments, attendance, attitude, extracurricular activities, organizations, and award certificates using decision support system techniques. Extracurricular grades are taken from Scouting activities only because students are generally required to participate in them. Naïve Bayes and Simple Additive Weighting methods are used in this research, where the Naïve Bayes method classifies the categories of outstanding students and not, while the SAW method is used for ranking. The contribution of this research has the potential to increase school efficiency in student assessment and support efforts to improve the quality of education by rewarding students appropriately. The validation test results of Naïve Bayes and SAW techniques get an accuracy value of 100%, which shows that the SAW method can produce the best alternative recommendations
Rancang Bangun Alat Pendeteksi Kualitas Air Minum Berbasis Arduino Kristanto, Floryanus; Kristyawan, Yudi; Prihartono, Edi
Journal of Technology and System Information Vol. 2 No. 3 (2025): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v2i3.4796

Abstract

Air minum yang aman dan layak konsumsi sangat penting untuk menunjang kesehatan masyarakat. Namun, pencemaran air akibat logam berat, mikroorganisme, dan bahan kimia berbahaya masih sering terjadi. Rendahnya kesadaran masyarakat serta keterbatasan alat pendeteksi kualitas air yang praktis dan terjangkau menjadi hambatan dalam memastikan kelayakan air yang dikonsumsi. Penelitian ini membahas permasalahan terbatasnya alat pendeteksi kualitas air yang mudah digunakan dan ekonomis. Alat yang tersedia umumnya mahal dan membutuhkan keterampilan teknis, sehingga tidak menjangkau seluruh lapisan masyarakat. Sebagai upaya penyelesaian masalah tersebut, penelitian ini merancang sebuah alat pendeteksi kualitas air berbasis Arduino Uno dengan sensor pH dan TDS. Nilai hasil pengukuran ditampilkan melalui LCD I2C, dan buzzer sebagai indikator peringatan. Alat telah melalui proses kalibrasi pH untuk meningkatkan akurasi. Diharapkan perangkat ini dapat membantu masyarakat mengetahui kelayakan air minum secara cepat dan mandiri.
Co-Authors Anastasia Lidya Maukar Anik Vega Vitianingsih Ardi, Syaiful DWI CAHYONO Fitrulloh, Moch. Jassar Aqsal Jazaudhi’fi, Ahmad Kristanto, Floryanus Lidya Maukar, Anastasia MARIFANI FITRI ARISA Prihartono, Edi Ramadhani, Illham Salmanarrizqie, Ageng Slamet Kacung, Slamet Yasin, Verdi