E-Journal Politeknik Negeri Cilacap
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    Pengembangan Sistem Layanan Penerimaan Peserta Didik Baru Berbasis Web

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    In today\u27s digital era, technology has become an important element in various aspects of life, including in the education sector. YPE Kroya Vocational High School in Cilacap, which currently has a manual new learner registration process, faces challenges in managing registration data that can lead to errors such as incorrect name writing and column placement. To overcome this problem, the research team developed a website-based New Learner Admission service system. This system is designed to facilitate the registration and selection process while improving efficiency in data management. The development of this system follows the System Development Life Cycle (SDLC) method, resulting in an effective website-based PPDB service system. This system not only facilitates the registration process and data management of prospective students but also provides solutions to problems that exist in the conventional registration process. System testing has been conducted through Black Box and User Acceptance Testing (UAT) methods validating the reliability and usability of the system. The results of the UAT analysis showed that the system received a very positive assessment from the users with an average score of 4.48 (90%) for Design, 4.44 (89%) for Efficiency, and 4.42 (88%) for Service

    Metode Fuzzy Time Series Markov Chain Untuk Peramalan Curah Hujan Harian

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    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

    Analisis Pengaturan Inverter Terhadap Unjuk Kerja Mesin Planer Bambu V2 Dalam Menghasilkan Serutan Bambu Laminasi

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    Planer bamboo machine V2 is a machine used to flatten the top and bottom surfaces of bamboo slats. This machine was made to overcome problems with existing machines in the form and long times of drawstring. An inverter is added to set the rotational speed roller. This study analyzes the effect of a combination of the top and bottom cutting speeds on the rotation speed of roller whose rotation speed was set at frequencies of 10, 20, 30, 40, and 50 Hz. The purpose of the study is to determine the effect of inverter frequency settings on the results of bamboo drawstring. Based on the analysis performed, the appropriate combination for the performance planer bamboo machine is by setting the inverter frequency to 20 Hz with a production result in a day of 54,54 slats drawstring with long of slats 2 meters, with a total power consumption of 2,483 kWh in one hour

    Rancang Bangun CNC Router 3 Axis Ukir Kayu Untuk Kerajinan Kaligrafi

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    The Indonesian wood industry is diverse, with wood carving being one of its most popular products. However, the manual wood carving process is not suitable for large-scale production. To address this challenge, a new tool has been developed to increase the production of wood crafts, especially calligraphy carving. This tool is a 3-axis wood carving CNC router machine controlled by a computer and smartphone. The CNC router machine was designed using the CNC Shield V3 and the Arduino Uno R3 motor driver, A4988 as a stepper motor controller. The mechanism applied includes creating vector images programmed with gcode, controlling and engraving calligraphy through software on computers and applications on smartphones with Bluetooth HC – 05 communication with a maximum distance of smaller than 10 meters. Based on control data by computer testing geometry testing circle dimensions of 58 mm x 56 mm and feed rates of 5 mm/sec, 8 mm/sec and 10 mm/sec with engraving times of 01:12, 00:48 and 00:42. Testing Muhammad\u27s carving with dimensions of 100 mm x 100 mm and feed rates of 5 mm/sec, 8 mm/sec and 10 mm/sec with engraving times of 05:22, 03:45 and 03:24. Tests for cutting 12 mm thick MDF wood with a depth 1.5 mm and a feed rate of 5 mm/sec cuts 8 rounds for 13:12 min/sec. The control data by smartphone testing the geometry of the circle with dimensions of 50 mm x 50 mm and a feed rate of 500mm/min with a carving time of 58:43 minutes. Testing Muhammad\u27s engraving dimensions of 70mm x 60mm and feed rates of 500 mm/min, 800 mm/min, and 1000 mm/min with engraving times of 54:34, 39:25, and 35:28. The test for cutting 12 mm thick MDF wood with a depth of 1.5 mm and a feed rate of 500 mm/min-cut 8x rounds for 10:21 minutes/second

    Pemetaan Lokasi Evakuasi Bencana Alam Tsunami dengan Virtual Reality 360 Derajat

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    The rapid development of information technology is encouraging innovation in various fields, including in the field of geographic disaster information services. The tsunami natural disaster is a serious threat to Cilacap district which has a fairly long coastline. When a natural disaster occurs, the first thing that victims of a natural disaster must do is take cover and look for the location that is considered the safest to save themselves. To increase community preparedness for potential tsunami risks, this research aims to develop evacuation location mapping using virtual reality technology in a 360 degree format specifically in Cilacap district. This research method has 2 stages, namely the literature study stage and the system development stage. The literature study stage begins with conducting direct observations and interviews with the Cilacap Regency BPBD. Meanwhile, the second stage is the system development stage which will be carried out using the extreme programming method which includes planning, designing, coding and system testing activities by implementing the System Usability Scale (SUS) method. The result of this research is an application for mapping natural disaster evacuation locations with the test results using the SUS method getting a score of 81. The practical implication of this research is that it can be a basis for related parties to design and implement more effective disaster mitigation strategies in Cilacap district

    Rancang Bangun Shuttlecock Balancing Tester dengan menggunakan Cooling Fan 120 mm

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    Badminton is a popular sport in the world, especially in countries such as Indonesia, Malaysia, China and many European countries. One of the important elements in badminton is the shuttlecock, which is used as a game ball. The shape density of feather shuttlecocks or synthetic shuttlecocks also affects the movement of the shuttlecock and produces different drag force values. Several methods can be used to test the balance of a shuttlecock, such as a method of throwing it vertically, the method of hitting it manually or using a throwing machine. Both methods show the movement of the shuttlecock directly so that it can be seen whether its movement is balanced or unbalanced, but this method requires a fairly large area. A simpler method is to use a shuttlecock balancing tester (SBT), but the current equipment is noisy and has quite large dimensions so it is not practical. This research aims to develop an existing SBT with less noise, smaller sizes, and more practicality by using a 120 mm cooling fan. The study was carried out to determine the required air flow speed and the correct size of the honeycomb hole. The results of the research show that the airflow speed required in the SBT so that the shuttlecock lifts per floats and rotates stably is 5.0 m/s using a honeycomb hole with a diameter of 6 mm and 4.6 m/s using a honeycomb hole with a diameter of 8 mm . Using 8 mm honeycomb produces air flow with a greater lifting force than using 6 mm honeycomb

    Latihan Kerja dan Kegiatan Produksi Narapidana Sebagai Model Pembinaan Kemandirian dan Pencapaian Lembaga Pemasyarakatan Industri

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    Following  a  rigorous,  carefully concerns  and  considered  review  of the   article   published   in   Madani :  Indonesian Journal of Civil Society to article entitled “Latihan Kerja dan Kegiatan Produksi Narapidana Sebagai Model Pembinaan Kemandirian dan Pencapaian Lembaga Pemasyarakatan Industri† Vol 6, No 2, pp. 43-53, August 2024, DOI: https://doi.org/10.35970/madani.v6i2.2219. This  paper  has  been  found  to  be  in  violation  of  the  Madani :  Indonesian Journal of Civil Society Publication principles  and  has  been  retracted.  The  article  contained  redundant material, the editor investigated and found that the paper published in JMM (Jurnal Masyarakat Mandiri), Vol. 8, No. 2 (August 2024), pp. 1957-1967, DOI: https://doi.org/10.31764/jmm.v8i2.21782, entitled "Latihan Kerja dan Kegiatan Produksi Narapidana Sebagai Model Pembinaan Kemandirian dan Pencapaian Lembaga Pemasyarakatan Industri ". The document and its content has been removed from Madani :  Indonesian Journal of Civil Society, and reasonable effort should be made to remove all references to this article

    An AIoT-Based Automated Farming Irrigation System for Farmers in Limpopo Province

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    Limpopo, one of South Africa\u27s nine provinces, is mostly rural, where agriculture serves as the primary occupation for around 89 percent of the total population. Agriculture relies on water, making it its most valuable asset. Through irrigation, water is supplied to crops for growth, frost control, and crop cooling. Irrigation can occur naturally, as with precipitation, or artificially, as with sprinklers. However, artificial irrigation is wasteful as it is regulated and monitored through human intervention, leading to water scarcity which is one of the obstacles that threatens the agricultural sector in the province of Limpopo. A machine learning precipitation prediction algorithm optimizes water usage. The paper also describes a system with multiple sensors that detect soil parameters, and automatically irrigate land based on soil moisture by switching the motor on/off. The objective of this paper is to develop an automated farming irrigation system that is both efficient and effective, with the intention of contributing to the resolution of the water crisis in the province of Limpopo. The proposed solution ought to be capable of decreasing labour hours, generating cost savings, ensuring consistent and efficient water usage, and gathering informed data to inform future research. Thus, farmers will have greater access to information regarding when to irrigate, how much water to use, weather alerts, and recommendations. In acquiring these, the ARIMA model was applied alongside DSRM for implementing the mobile application. The results obtained indicate that the use of AI and IoT (AIoT) in agriculture can improve operational efficiency with reduced human intervention as there is real-time data acquisition with real-time processing and predictions

    Penerapan Metode Fuzzy Inference System Tsukamoto dalam Penentuan Prediksi Persediaan Barang

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    Pengolahan data barang pada BKSDA masih menggunakan pembukuan tertulis untuk melakukan pencatatan data keluar masuknya barang sehingga pegawai mengalami kesulitan dalam penentuan jumlah persediaan barang. Penentuan prediksi bukanlah hal yang mudah, jika terdapat kesalahan dalam menentukan jumlah yang akan diambil maka akan mengakibatkan kekosongan persediaan suatu barang digudang. Tujuan dari sistem prediksi persediaan barang untuk memudahkan pegawai bagian perlengkapan dalam penentuan jumlah barang persediaan dan dapat mengelola transaksi barang yang ada di instansi tersebut. Untuk mengatasi masalah tersebut maka dibuat sistem yang dapat melakukan pencatatan terhadap jumlah barang yang masuk dan keluar dari gudang, sistem ini dilengkapi dengan perhitungan prediksi jumlah persediaan barang menggunakan menggunakan metode FIS (Fuzzy Inference System) Tsukamoto sehingga jumlah persediaan dalam gudang bisa tetap stabil. Variabel yang digunakan dalam menentukan prediksi barang berdasarkan jumlah persediaan barang yang tersisa, data pembelian dan jumlah barang keluar. Dengan mengkombinasikan semua himpunan fuzzy tersebut, diperoleh empat aturan fuzzy yang selanjutnya digunakan dalam tahap inferensi. Pada tahap inferensi, dicari nilai keanggotaan anteseden (α) dan nilai perkiraan jumlah produksi (z) dari setiap aturan. Jumlah barang yang akan diproduksi (Z) dicari dengan metode defuzzifikasi rata-rata terpusat. Sistem informasi ini akan menampilkan informasi barang yang keluar dari gudang, informasi persediaan barang, informasi prediksi persediaan dan informasi-informasi pendukung lainya. Semua informasi yang dihasilkan dalam sistem ini akan ditampilkan dalam bentuk website

    The Design of a Tobacco Quality Detection Tool Using K-NN Classification Method

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    Tobacco is an important commodity on Madura Island, where farmers process it into shredded tobacco sold to middlemen. The quality of the shredded tobacco significantly affects its selling price, determined by factors such as color, aroma, leaf elasticity, and handling. Currently, quality assessment still relies on manual methods dependent on the sensory perceptions of experts. However, the physical and emotional instability of these experts can disrupt the accuracy of these evaluations. To solve this issue, there is a need for a tool that can automatically detect tobacco quality without relying on manual observation. This tool is designed using a series of sensors, including the TCS3200 for color analysis and MQ sensors (MQ4, MQ135, MQ138) for detecting aroma components. The output from these sensors is in the form of ADC values, which are then processed as training data. The K-NN (K-Nearest Neighbors) method will be applied to classify tobacco quality into three categories: low, standard, and good. The distance calculation uses the Manhattan Distance formula with a parameter of K=4, ensuring more accurate results. With this tool, the assessment of tobacco quality becomes more consistent and reliable,because reducing the risk of inaccuracies due to human factors

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