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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Informatika Jurnal Ilmiah FIFO bit-Tech Jurnal Teknologi Informatika dan Komputer JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Abdimas Perbanas Jurnal Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Open Global Scietific Journal JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Inovasi Gagasan Abdimas & Kuliah Kerja Nyata IPSIKOM
Purbaratri, Winny
Perbanas Institute
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Social Sciences Other

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Journal : bit-Tech

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Selection of the Best Lecturers using the AHP (Analytical Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution): Case Study of STMIK Insan Pembangunan Winny Purbaratri; Moedjiono Moedjiono; Moch. Fajar Purnomo Alam
bit-Tech Vol. 1 No. 2 (2018): Data and Information Quality
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.965 KB) | DOI: 10.32877/bt.v1i2.38

Abstract

STMIK Insan Pembangunan is a College that was established in 1990, located in Tangerang Regency. Supported by 41 Lecturer staff. Lecturers have the position as professional staff at the higher education level who are appointed in accordance with the laws and regulations. Lecturers are educators who provide a number of knowledge to students in universities or universities. The best lecturer selection system is used to support learning and teaching activities in the campus so that students are competent in the field of concentration taken. So it is needed teaching staff or lecturers who are competent in their fields, in this case to meet the criteria of the competent lecturer is needed a system that supports in this case deciding which lecturers are considered the best. The process of selecting the Best Lecturers in the current system is that there is a shortage that takes a long time to process the results of the questionnaire data and only uses one of the criteria of the Tridarma of Higher Education, namely Education and Teaching. So that the resulting decision is not yet valid. In this study a Decision Support System (DSS) will be made where the decision support system can help a person in making accurate and well-targeted decisions. The method used is AHP to calculate the weight of each criterion and TOPSIS to rank each alternative based on each criterion. The results obtained in this study are a system that is able to produce the best rank of lecturers in STMIK Insan Pembangunan.
Decision Support System Using AHP and Topsis Methods in Determining Wedding Packages Achmad Syauqi; Winny Purbaratri
bit-Tech Vol. 3 No. 3 (2021): Remote Delivery
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v3i3.214

Abstract

Choosing a wedding package is always a problem for the prospective bride and groom. The decision support system helps the wedding organizer to make it easier for consumers to choose a wedding package. In this case, the researcher uses the AHP method to find the weight of the criteria and the TOPSIS method to rank alternative consumer choices. The criteria used in this study were 7 (seven), Makeup, Clothing, Catering, Documentation, Decoration, Number of Guests and Price. The results obtained from this study are that the system is able to produce a ranking order of wedding package options in a fast time and get the right choice
IoT Security Attacks on the Public Sector: Systematic Literature Review Fandan Dwi Nugroho Wicaksono; Winny Purbaratri; Moch Fajar Purnomo Alam; Agnes Novita Ida Safitri
bit-Tech Vol. 7 No. 1 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i1.1627

Abstract

The primary objective of this study is to examine security threats that specifically target the Internet of Things (IoT) used in the Public Sector. This sector is widely acknowledged as a crucial element of the fourth industrial revolution. The high volume of intelligent devices employed in the public sector, which are linked in the Internet of Things (IoT), and each of them transmits sensitive data in numerous instances, makes security of utmost importance. The objective of this study is to categorize various forms of security attacks and propose strategies to mitigate security breaches through many approaches. This study employed a systematic review, which is a methodical examination of current literature. The data synthesis methodology in this study consisted of comparing 15 literature sources that had been evaluated for quality and satisfied the specified criteria for inclusion and exclusion. The utilized database sources include renowned platforms such as Scopus, ACM, and IEEE. The present study employs a qualitative methodology, specifically utilizing the perspectives of two information security specialists to examine the existing literature. The findings of this study have made a meaningful contribution to the field of public sector. This study categorizes four types of assaults against Public Sector IoT: 37% Denial-of-Service (DoS) attacks, 31% Malware attacks, and 19% Phishing attacks. System attacks account for 13% of all system attacks. By contrast, 50% of the security attack mitigation strategies rely on authentication, 36% on Secure Communication, and 14% on Application Security.
Decision Support System for Selecting Volleyball Starting Players Using the AHP and SAW Methods Yanah, Septi; Purbaratri, Winny; Purwaningsih, Mardiana; Tachyar, Nani Krisnawaty; Akmaliyah, Yasmin
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3783

Abstract

This study develops a decision support system to enhance the objectivity and reliability of selecting starting volleyball players, particularly for the spiker position, where traditional selection processes are often subjective and inconsistent. The research addresses the limitation of single-method decision models by integrating the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) into a unified multi-criteria decision-making framework. AHP is employed to derive consistent and structured criterion weights, while SAW is used to generate a transparent ranking of player alternatives. Seven evaluation criteria were used, including passing, service, smash, block, teamwork, body mass index (BMI), and speed. Data were collected through structured observations and expert evaluations involving the team coach and founder. The results indicate that the smash criterion has the highest weight (0.4138), confirming its dominant role in spiker performance. The final ranking shows that Neng Irma Sukmayani achieved the highest score (0.9678), followed by Siti Karlina (0.9602) and Nova Amelia Putri (0.9040). Compared to subjective selection approaches, the proposed system provides a measurable and reproducible evaluation process, improving decision transparency and consistency. The integration of AHP and SAW contributes by reducing weighting bias while maintaining computational simplicity in ranking. The system was implemented using PHP and MySQL and validated through black-box testing, demonstrating stable functionality across all features. This study contributes both theoretically, by strengthening hybrid MCDM applications in sports analytics, and practically, by providing a scalable decision support model for athlete selection.
Co-Authors Achmad Syauqi Adi Setiawan Agnes Novita Ida Safitri Akmaliyah, Yasmin Andi Fariana, Andi Arianti Ika Prastiwi Dwi Atmodjo Wismono Prapto, Dwi Atmodjo Wismono Fandan Dwi Nugroho Wicaksono Faried, M Isnin Hafiz, Farhan Mohammad Imam Supriyadi Irwan Sembiring Iwan Setyawan Krisnawaty Tachjar, Nani Mardiana Purwaningsih Marzuki, Donny Pramudia Moch Fajar Punomo Alam Moch Fajar Purnomo Alam Moch. Fajar Purnomo Alam Moedjiono Moedjiono Muhammad Fachrur Razi Paylina, Shinta Priska D.T, Lely Rachmadi, Pratiwi Razi, Muhammad Fachrur Roy Mubarak Safitri, Agnes Novita Ida Swasthika, Endang Tachjar, Nani Krisnawaty Tachyar, Nani Krisnawaty WP, Dwi Atmodjo Yanah, Septi