Claim Missing Document
Check
Articles

Found 7 Documents
Search
Journal : Infotekmesin

Penerapan Metode Simple Additive Weighting (SAW) dan Tabel Keputusan pada Sistem Pendukung Keputusan Menentukan Tingkat Punishment Siswa Bermasalah Riyadi Purwanto; Dwi Novia Prasetyanti; Ratih Hafsarah Maharrani; Lutfi Syafirullah
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.780

Abstract

One of the factors that affect the comfort of the learning process at school is students who violate school rules. To maintain school order, it is necessary to give punishment as stipulated in the school's decision. Decision Support System can be implemented as a media to support decision making in giving punishment to problematic students. In general, punishment for problematic students uses a point system according to the type of violation. However, the calculation and management process is still done conventionally which is prone to human error. Engineering punishment is very likely to occur due to the like and dislike factor. This of course causes the school's decision to be wrong. This study aims to make a Decision Support System application to determine the level of punishment for problematic students using the Simple Additive Weighting (SAW) method and the Decision Table. The weighting of violation points is based on three criteria, namely academic violations, aesthetic violations, and ethical violations. The results showed that the calculation of the weighted score of each type of student violation became more precise.
Implementasi Profile Matching Pada Seleksi Ketua dan Wakil Ketua OSIS Alif Iftitah; Linda Perdana Wanti; Dwi Novia Prasetyanti; Nur Wachid Adi Prasetya; Andriansyah Zakaria
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1536

Abstract

The OSIS chairman is the highest leader in the OSIS management structure and is accompanied by a vice-chairman. Therefore, a selection with several criteria is needed to determine the best candidate. Things that are considered in this selection are realism, maturity, organizational experience, public speaking, discipline, character, organizational activity, and responsibility. By utilizing a decision support system, the best candidates are obtained for the candidate for chairman and vice-chairman of the student council. This system is made with the method used to assist the selection process, namely, profile matching. Profile matching is used to find the profile of a job that is sought from a predetermined specification. This method provides a solution and has a clear objective in decision-making. On the other hand, the method used to develop a decision support system is the incremental method. The selection of the incremental method is based on the fact that this method has an iterative nature, which can adapt to the many repetitions that occur during the development process. The novelty of this research is the recommendations generated from the developed decision support system. There are notifications about the results of decisions to users, in this case, the candidates for the OSIS chairman and vice chairman who are alternatives in the election process. This study resulted in recommendations in the form of candidates for OSIS chairman and vice chairman by the candidate's profile.
Penerapan Location Based Service (LBS) dan QR Code Detection pada Aplikasi Pemetaan dan Penjemputan Retribusi Parkir Kendaraan Berbasis Android Dwi Novia Prasetyanti; Riyadi Purwanto; Rostika Listyaningrum
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1662

Abstract

One source of regional income for Cilacap Regency is the management of vehicle parking lots. Currently, parking area management is carried out by recording the identity of the parking location based on the street name, while the withdrawal of parking fees is carried out by towing officers who come to the parking location and then record it in a book. The current management of parking lots is still inaccurate because there are several street names that have more than one parking area which results in data redundancy. The conventional parking fee collection system causes frequent discrepancies in reports due to the potential for misuse of parking fees. The absence of tools that can be used by related agencies to control reports is the cause of the problem. The research objective is to develop an information system by applying LBS technology which functions to detect parking points precisely and QR Code Detection which functions to detect the identity of parking attendants. System development uses the ADDIE model. The results of the research are an information system for mapping parking lots and picking up parking fees based on Andorid which can help manage vehicle parking lots which includes mapping the location of parking lots and picking up vehicle parking fees.
Metode Economic Order Quantity dalam Sistem Bandar Barang Bekas (SiBandar) Cahya Vikasari; Riyadi Purwanto; Dwi Novia Prasetyanti
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1937

Abstract

Junk goods are no longer piles of worthless goods for businessmen who are keen to see the economic value by taking this opportunity by becoming a pelapak company to buy and sell junk goods purchased from collectors to be sold to buyers. The problems found with Pelapak include the manual recording of sales administration which has the potential to cause recording errors. Pelapak does not know for sure the stock of junk they own and those owned by collectors because the locations of the collectors are far apart. Orders of junk goods between pelapak and collectors are still via telephone so pelapak does not know which collectors are in the process of sending goods. Problems also occur on the part of collectors including unprofessional sales transactions. Based on these problems, a used goods stock management system is needed using the Economic Order Quantity (EOQ) method. The purpose of this study is to build a used goods stock management information system that can monitor the availability of used goods owned by collectors and pelapak. System development uses the prototype method and designs with concepts. The results of the research are that the system created can help find out the stock and the amount in each collector, recap sales reports, provide accurate information, facilitate business transactions and fulfill sales targets to buyers.
Perbandingan Kinerja Antara Gatling dan Apache JMeter pada Uji Beban RESTful API Prih Diantono Abda'u; Agus Susanto; Abdul Rohman Supriyono; Dwi Novia Prasetyanti
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2176

Abstract

This research explores and compares the performance of two popular load testing tools, namely Gatling and Apache JMeter, with a focus on API performance testing. The rapid growth in web and mobile application development highlights the urgent need to ensure optimal API performance. This research was conducted to provide in-depth insight into the advantages and disadvantages of these two testing tools through the use of similar testing scenarios. The experimental method involves implementing test scenarios that include load variations and high demands on both devices. The main parameters observed include API response time, throughput, and latency. In-depth analysis was carried out on the data obtained to evaluate the reliability and efficiency of each tool. The results of this research provide a comprehensive understanding of the performance of Gatling and Apache JMeter in the context of API performance testing. These findings can provide practical guidance for software developers and testing practitioners in selecting load testing tools that suit their project needs. Recommendations for future research include expanding exploration of other load testing tools, comparison with more complex test scenarios, and integration with performance monitoring tools for more holistic analysis. Thus, this research is expected to make a significant contribution to the understanding and selection of effective load testing tools in web and mobile application development.
Klustering Data Mahasiswa Menggunakan Metode K-Means Sebagai Acuan dalam Penentuan UKT Mahasiswa Dwi Novia Prasetyanti; Riyadi Purwanto; Cahya Vikasari; Rostika Listyaningrum
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2360

Abstract

Determining Uang Kuliah Tunggal/UKT for new students is important in Penerimaan Mahasiswa Baru/PMB process after PMB selection process. The determination of UKT groups by The PMB committee at Politeknik Negeri Cilacap is carried out one by one by looking at the economic data of new students. This condition has become a special problem due to the increase in PMB quotas in the PNC, so it requires alternative solutions that can be used as one of the benchmarks in the determination of a new student UKT group in PNC. The researchers used clustering with features that represent the economic conditions of new students with the K-means method to provide alternative solutions. The result of using the K-Means method in clustering, yielding a performance value for the number of clusters 8 of 1669,283, with the highest number of cluster members in cluster members in cluster 4 being 72 out of 275 data. The Elbow method test results to determine the best number of clusters resulting in 4 cluster with a performance value of 2462,003.
Optimalisasi Sistem Informasi Layanan Keuangan dengan Metode First Come First Served (FCFS) Purwanto, Riyadi; Dwi Novia Prasetyanti; Cahya Vikasari; Rostika Listyaningrum
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2562

Abstract

One of the important things in financial management is financial services. Cilacap State Polytechnic (PNC) is a PTN as a Work Unit. Financial management at PNC refers to applicable government regulations, but financial service policies are the authority of the leadership as a strategy to create fast, effective, and accountable financial services. The budget usage policy stipulates that work units must propose budget usage based on the Fund Withdrawal Plan through a down payment form approved by the Financial Management Officer. The current problem is that down payment forms are often scattered or lost, so the response time for payments from finance is slow, and payment queues are often not in sequence. This results in activities being hampered. This research aims to create a prototype or development design for the Financial Services Information System at PNC. The FCFS method is used as a service scheduling algorithm based on arrival time to optimize financial services. In this way, the financial service process will be more organized, the response time for financial services will be faster, and the queue for service requests will be in line.