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RANCANG BANGUN APLIKASI SISTEM DIAGNOSIS KERUSAKAN PADA MOBIL DAIHATSU XENIA 1.3 M/T DENGAN METODE FORWARD CHAINING Septarini, Ri Sabti; Nugroho, Thesar
Jurnal Informatika Vol 2, No 2 (2018): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (907.014 KB) | DOI: 10.31000/.v2i2.1518

Abstract

Cars have properties like humans. The car will show certain signs before it breaks. Corrective action is taken when the symptoms occur.The problem faced is that many car Users who do not know it or may know only a little and not everyone knows about it in repairing the car.The purpose of writing this thesis report is to help detect damage to Daihatsu Xenia 1.3 M / T cars as an alternative solution for vehicle Users in shortening decision making time.Research methods conducted by the author in conducting research at PT. ArmadaAuto Tara. Fleet includes direct observation of the current diagnostic system, interviews with the head of mechanics and mechanics and literature studies that are relevant to the problems faced by the author. This study uses the Forward Chaining method.The results of this study can be seen that with the application of an expert diagnostic system this car damage can help the User get information about the damage experienced in his car without having to come to the workshop or to the expert.
Analysis and Design of Decision Support System for Employee Performance Appraisal with Simple Additive Weighting (SAW) Method Taufiq, Rohmat; Septarini, Ri Sabti; Hambali, Ahmad; Yulianti, Yulianti
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6777

Abstract

The decision support system (DSS) for employee performance appraisal is a decision support system used in the employee performance appraisal process at PT. Surya Toto Tbk. Currently, the employee performance appraisal process still done manually (paper-based) so that the reports produced were not real-time. From the existing problems, this research aimed to analyze and design a decision support system according to the existing criteria using the Simple Additive Weighting (SAW) method to be able to develop into a Web-based DSS. The method used began with communication with management, especially the perpetrators of employee performance appraisals. Furthermore, planning, the process of data collection, analysis, design, and finally making reports carried out. The conclusion of this study provided a suggestion to use the criteria that had given two more criteria. By giving weights and calculations carried out for three employees, the value obtained for employee C got the highest score (0.98) followed by employee B, and the lowest score (0.85) was employee A.
MODEL RUMAH PINTAR DENGAN MENGGUNAKAN LOGIKA FUZZY SEBAGAI PENGENDALI KEAMANAN DAN KESELAMATAN PENGHUNI RUMAH Wijayanti, Rima Rizqi; Septarini, Ri Sabti; Husain, Syepry Maulana; Abdurrasyid, Abdurrasyid
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 9, No 2 (2020)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v9i2.23531

Abstract

Data Badan Pusat Statistik tahun 2013 menunjukan bahwa kejahatan pencurian merupakan kejahatan yang paling banyak dialami oleh rumah tangga, kecenderungan meningkat dari tahun 2012 hingga 2014, Pemadam Kebakaran Provinsi DKI Jakarta mencatat selama tahun 2019 terjadi 1355 kasus kebakaran, penyebab utama diakibatkan korsleting listrik sejumlah 557 kasus. Tujuan dari penelitian ini adalah adalah menghasilkan software, hardware dan model rumah pintar yang dapat mengendalikan peralatan rumah tangga sehingga dapat memberikan keamanan dan kenyamanan serta penghematan dari waktu dan biaya bagi penghuni rumah. Smartphone dapat memonitoring dan mengontrol keamanan Pintu Gerbang Utama menggunakan pin, menyalakan lampu, memutar musik, mengisi air dalam bak secara otomatis, menyalakan kipas angin, mengetahui suhu ruangan, dan terdapat pemberitahuan mengenai kebocoran gas, kebakaran serta pencurian. ada beberapa penelitian berkaitan tentang rumah pintar namun tidak ada yang menggabungkan kompleksitas sensor yang saat ini diteliti dengan kombinasi metode fuzzy logic didalamnya sehingga penelitian mampu memberikan kontribusi keilmuan.
Implementasi MADM TOPSIS dalam Pemilihan Karyawan Baru pada PT Arthawenasakti Gemilang Berbasis Web Septarini, Ri Sabti; Taufiq, Rohmat; Handayani, Nurdiana; Asy’arie, Zain Ibrahim
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.14428

Abstract

Recruiting new employees is the process of selecting potential employees to attract talented employees who will join the company later. Improve your company's productivity by hiring new employees who meet your company's standards. In addition to the development of information and communication technology, it is considered necessary to use a decision support system for recruiting new employees to facilitate the management process in the selection of new employees. One of the decision support system methods that can be used in the potential employee selection process is the Order Preference Method (TOPSIS), which resembles an ideal solution. In this study, we developed system applications using PIECES system analysis techniques, system development techniques using waterfall models using Unified Modeling Language (UML) models, application development using Sublime, and devices using black boxes. Describes the test. The end result of hiring an employee using a decision support system provides managers with hiring recommendations and is already available as a web-based hiring system.
Sistem Pengendalian Persediaan Menggunakan Metode Moving Average dan Pengembangan Sistem Extreme Programming Alamsyah, Dedy; Damuri , Amat; Nuraini, Rini; Septarini, Ri Sabti; Yudaningsih, Nunik
TEMATIK Vol 9 No 1 (2022): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2022
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v9i1.898

Abstract

Inventory of goods is one of several important factors in a company, whether engaged in trading or manufacturing. It is important for inventory to be controlled and supervised in the recording and calculation of inventory, this is because inventory can affect financial reporting. If the amount of inventory is too large (overstock), on the other hand, if the inventory is a little, it will have an impact on the lack of inventory (stockout). The purpose of this research is to develop an inventory control system using the moving average method and the development of an Extreme Programming (XP) system. The moving average method in inventory prediction is more effective because this method compares current and previous data. To develop the system, the Extreme Programming (XP) system development method is used. This method has advantages including: fast process, time and cost efficiency, low risk, flexibility and easy to implement. From the test results using black box testing by testing the functionality, the system shows the system has met expectations with a value reaching 100%. Meanwhile, for testing with the DeLone and McLean models which measure the success of information systems, the score reaches 81.37%.