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All Journal Jurnal Informatika Upgris JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informasi dan Pendidikan Bulletin of Information Technology (BIT) RJOCS (Riau Journal of Computer Science) Jurnal Informatika Polinema (JIP) Jurnal Teknologi Informasi Indonesia IECON: International Economics and Business Conference
Sulistiawati Rahayu Ahmad
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : Bulletin of Information Technology (BIT)

 1 
Implementasi Metode Simple Additive Weighting (SAW) dalam Pemilihan Sekolah Ramah Anak Sulistiawati Rahayu Ahmad; Salim M; Salma PNua
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.618

Abstract

Child-Friendly School is a program aimed at achieving safe, clean, healthy, caring, and environmentally conscious conditions that ensure the fulfillment of children's rights and protection from violence, discrimination, and other forms of mistreatment while they are in educational institutions. It also supports children's participation, particularly in planning, policies, learning, and supervision. One of the objectives of developing the Child-Friendly School Policy is to fulfill, guarantee, and protect children's rights, as well as to ensure that educational institutions can develop children's interests, talents, and abilities, and prepare them to be responsible for a tolerant, respectful, collaborative life for progress and a spirit of peace. The research aims to design a Web-based Decision Support System for Selecting Child-Friendly Schools in the Education Office of Gorontalo City using the Simple Additive Weighting (SAW) method. The research adopts the Waterfall method as the research approach and conducts Whitebox and Blackbox testing for the system. The research findings indicate that the system can facilitate schools applying for child-friendly school certification from the Education Office of Gorontalo City. It provides a transparent ranking output based on the assessment of predetermined criteria weights. The system can perform quick, accurate, and precise weighting calculations using the SAW decision support method, and it provides information on the suitability status based on the weight values derived from the matrix summation after the 'SAW method' button is processed
Sistem Pendukung Keputusan Kelayakan Pemberian Kredit Nasabah Dengan Metode Electre Marlin Lasena; Sulistiawati Rahayu Ahmad
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.690

Abstract

PT Hasjrat Abadi has collaborated with a financing institution to provide opportunities for vehicle ownership through credit facilities. The credit system offered by the financing institution can boost vehicle sales. However, before that, the lender must conduct a thorough consumer data analysis. This is crucial to ensure that potential customers can repay the approved vehicle loans, thereby avoiding the risk of loan defaults in the future. The process of consumer data analysis is time-consuming due to the abundance of documents involved. Additionally, field surveys are necessary to validate consumer data by applying the 5C Bank Principles (character, capital, capacity, collateral, and condition). Research Objective By implementing the Electre (Elimination and Choice Translation Reality) method in the decision support system, we can provide quick, accurate, and precise information to determine whether potential customers are eligible to purchase vehicles from PT Hasjrat Abadi through credit. This method utilizes the 5C Bank Principles (character, capital, capacity, collateral, and condition) to evaluate consumers. The method used is Research and Development (R&D), which aims to develop specific products and test their effectiveness. The research findings indicate that this system can enhance the services provided to customers at PT Hasjrat Abadi's branch in Gorontalo. Based on the data input by credit analysts, it was found that only 50 percent of the total potential customer data could be approved using the Electre method for credit applications. This facilitates faster, more accurate, and more reliable decision-making for customers.
Implementasi Pengukuran Kasus Bullying Berbasis Gender Dengan Pendekatan Metode Analytic Network Process Dan Structural Equation Modeling PNua, Salma; Ahmad, Sulistiawati; Salim, Muh
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1267

Abstract

Bullying in the workplace not only has a negative impact on the individual who is the victim, but also has negative consequences for the organization and witnesses who witnessed the incident. The purpose of the study is to describe the psychological aspects related to bullying in the work environment using a valid theoretical conceptual framework. This study combines the Analytical Network Process (ANP) and Structural Equation Modeling (SEM) approaches to investigate the phenomenon of bullying in the work environment with a focus on the gender dimension. The findings suggest that gender has a significant role in influencing the experience of bullying in the workplace, with significant differences between individuals based on their gender. The integrative models of ANP and SEM successfully identified the complexity of the relationship between related variables such as the strength of interpersonal relationships, gender differences, and organizational policies, while also highlighting the negative impact of bullying on individual psychological well-being and organizational productivity. This study shows that all indicators of bullying behavior in the workplace have a p > value of 0.3 based on the results of confirmatory factor analysis. These indicators are threats to professional status (0.591), threats to individuals (0.538), isolating (0.399), excessive workload (0.649), and acts that cause instability (0.310). These results indicate that each of these factors is significant and relevant in measuring bullying behavior in the work environment.
Optimizing CCTV Damage Diagnosis with Backward Chaining Based Expert System Lasena, Marlin; Rahayu Ningsi Ahmad, Sulistiawati
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.1964

Abstract

The use of CCTV systems in daily life is increasingly widespread, along with the growing need for security and surveillance. However, malfunctions in both hardware and software components of CCTV devices remain a challenge, especially for technicians and non-technical users who lack sufficient expertise. This study aims to develop an expert system using the Backward Chaining method to assist technicians and users in accurately and efficiently diagnosing various types of CCTV malfunctions. The Backward Chaining method is employed due to its ability to trace symptoms back to the root cause using a rule-based logical inference approach. The system is implemented as a mobile application for Android platforms, with a knowledge base constructed from the expertise of CCTV technicians at PT. Smart CCTV Indonesia. The results of the study indicate that the expert system provides significant ease in diagnosing CCTV issues and offers relevant recommendations to both technicians and users. Thus, this system is expected to enhance efficiency in troubleshooting processes and support better decision-making in the management of digital security systems
Co-Authors Abdul Ma’arief Al Imran Danial Saleh Ichsan M, Muhammad Jorry Karim M Salim M. Salim Marlin Lasena Maro, Muhammad Ihsan Misrawati Aprilyana Puspa Mursyid Ardiansyah Nur Insani R Dalai, Hastuti Saleh, Danial Salim, M Salim, M. salim, Muh Salma P. Nua Syaifuddin Syaifuddin Utiarahman, Siti Andini Zainal Abidin, Ali Asgar