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All Journal EVOLUSI : Jurnal Sains dan Manajemen Infotekmesin Jurnal Matematika Integratif
Rostika Listyaningrum
Politeknik Negeri Cilacap
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

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Journal : Infotekmesin

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PENERAPAN METODE SIMPLEKS UNTUK OPTIMASI PRODUKSI IKAN AIR TAWAR DAN IKAN AIR PAYAU DI KABUPATEN CILACAP SERTA ANALISIS KELAYAKAN PRODUKSI SECARA SENSITIVITAS Rostika Listyaningrum; Ika Nur Afiati
Infotekmesin Vol 9 No 02 (2018): Infotekmesin, Juli 2018
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v9i02.16

Abstract

Cilacap Regency is one of region whose good potential in process of waterpark cultivation. The resource potential of fresh water cultivation and brackish water and is distribution is almost in CilacapRegency, and it still has potential to develop. This research discussed the application of simplex method on the productivity of fresh water cultivation and brackish water in Cilacap Regency. The optimal solution from simplex method was tested its change of reliability with sensitivity analysis. The maximum productivity of fresh water and brackish water in 2014 till 2016 was 28.784,4494 tons.
Penerapan Metode First Come First Served (FCFS) Pada Sistem Informasi Layanan Perawatan dan Perbaikan Aset Kampus Riyadi Purwanto; Linda Perdana Wanti; Ratih Hafsarah Maharrani; Rostika Listyaningrum
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.v13i2.1548

Abstract

Assets are resources owned by an entity. Cilacap State Polytechnic is a higher education institution that has many assets. Current asset maintenance and repair services are still carried out conventionally. Each work unit must fill out a maintenance and repair proposal form and then submit it to the Maintenance, Repair, and Maintenance Unit (UP3). The proposal will be recorded and scheduled to be followed up by the Technician. The problem that occurs is that the proposal form is often scattered and even lost so the response time is often slow. In addition, maintenance and repair schedules are often not ordered according to the time of the request. This has an impact on the abandonment of work in certain work units. The purpose of this research is to create an information system for the repair and maintenance of campus assets. In order for maintenance and repair services to be carried out according to the time of the request, the FCFS method is applied. Thus, the service process for maintaining and repairing campus assets becomes more organized, schedules (queues) are sequenced, and the response time for incident handling is faster.
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.
Penerapan Data Mining dalam Analisis Prediksi Kanker Paru Menggunakan Algoritma Random Forest Laura Sari; Annisa Romadloni; 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.v14i1.1751

Abstract

Cancer is the second highest cause of death in the world. In Indonesia, it is a disease with a high mortality rate. Most patients do not realize that they have lung cancer thus the treatment is sometimes too late. A prediction method with a high degree of accuracy is needed to detect lung cancer earlier. Previous research used data mining calcification methods with the Naïve Bayes algorithm to predict lung cancer. This research resulted in high recall values for the positive class (Yes class) but low for the negative class (No class). This research was made using the Random Forest algorithm which is known to have good performance. The modeling is optimized by applying the K-fold Cross Validation technique. The Random Forest algorithm produces a higher Accuracy value than the Naïve Bayes algorithm, which is 98.4%. This algorithm produces 100% Recall for the positive class, 80% for the negative class and provides a 100% correct prediction as can be seen from the AUC value of 1. Although a statistical test with a significance level of 5% shows the results of the two algorithms are not significantly different.
Metode Fuzzy Time Series Markov Chain Untuk Peramalan Curah Hujan Harian Laura Sari; Annisa Romadloni; Rostika Listyaningrum; Fadhilla Hazrina; Nur Wahyu Rahadi
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.v15i1.2182

Abstract

Cilacap Regency has diverse topography and geographical conditions which cause this region to have rainfall that varies spatially and temporally; therefore, a forecasting method to overcome these uncertainties and fluctuations is needed. Fuzzy Time Series Markov Chain utilizes Fuzzy logic which provides flexibility in handling uncertain and unstructured data. Moreover, the addition of Markov chain elements that utilize Fuzzy logic concepts provides flexibility in handling data allowing the model to capture inter-time relationships and changes in system state that depend on previous states. Therefore, the research aims to see the suitability of the Fuzzy Time Series Markov Chain for predicting daily rainfall in Cilacap Regency. The method is suitable for predicting rainfall data for Cilacap Regency. The accuracy value in this study can be seen from the RMSE and SMAPE values ​​on the training data (in-sample), respectively, which are 58.76469 and 0.7227493. Meanwhile, the testing data (out sample) was 56.01818 and 0.7055117.
Co-Authors Abdul Rohman Supriyono Annas Setiawan Prabowo Annisa Romadloni Ayu Pramita Betti Widianingsih Dodi Satriawan Dwi Novia Prasetyanti Fadhilla Hazrina Hariadi, Nora Ika Nur Afiati Kiki Ariyanti Sugeng Laura Sari Linda Perdana Wanti Lutfi Syafirullah Nur Wahyu Rahadi Ratih Hafsarah Maharrani Riyadi Purwanto Sari, Eka Dyah Puspita