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All Journal NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Kendali Teknik dan Sains Jurnal Penelitian Teknologi Informasi dan Sains
Nur Aziezah
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Social Sciences

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Pengembangan Model Laboratorium Jaringan Virtual Menggunakan GNS3 Di SMKS Bhinneka Karya 5 Boyolali Bayu Widodo; Nur Aziezah; Aditya Wicaksono
NUSANTARA Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): Mei : Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v3i2.1118

Abstract

Pendidikan vokasi mengutamakan keterampilan siswa, menekankan pembelajaran langsung, dan menyelenggarakan proses pembelajaran teoritis secara lebih efektif. Untuk memenuhi kompetensi mereka di bidang jaringan komputer, banyak Sekolah Menengah Kejuruan (TKJ) memfasilitasi siswa bekerja menggunakan peralatan jaringan secara langsung. Sayangnya cara ini tidak terlalu efisien untuk mengajar di Laboratoriun Jaringan, terutama jika ukuran kelasnya sangat besar ataupun terkendala keterbatasan peralatan/ sarana jaringan komputer. Tujuan dari kegiatan "Pengabdian Masyarakat Dosen Pulang Kampung IPB" yang dilaksanakan di SMKS 5 Bhinneka Karya Boyolali ini adalah memberikan pilihan praktis dan murah untuk melakukan kegiatan praktikum jaringan komputer dengan cara membuat "Laboratorium Jaringan Virtual". Solusi yang diberikan telah membantu mengatasi masalah keterbatasan perangkat keras dan aksesibilitas yang ada di laboratorium jaringan. Laboratorium Jaringan Virtual memberi siswa kemampuan untuk menerapkan instance virtual perangkat jaringan secara nyata.
Analisis Pengaruh Kemudahan terhadap Tingkat Efektivitas Penggunaan Mesin Cetak Pelet Pakan Ternak Salsabila Diba Cahyani; Nur Aziezah; Hikmah Rahmah; Faldiena Marcelita; Inna Novianty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.1976

Abstract

The pellet molding machine has high efficiency to make it easier to process animal feed pellets. The pellet processing process requires a series of activities such as grinding, mixing, pelleting and drying. Therefore, research was carried out to identify the effect of convenience on the level of effectiveness of using an animal feed pellet printing machine. The method used in this research is a quantitative method by distributing questionnaires via the Google Form platform. Validity tests, reliability tests and simple regression analysis are used to analyze the data obtained from filling out the questionnaire
Analisis Pengaruh Kemudahan Pengguna Terhadap Efektivitas Alat Kompresi Sampah Botol Plastik “Bottlepress” Berbasis IoT Shinta Arafah Hidayanti; Nur Aziezah; Hikmah Rahmah; Walidatush Sholihah; Inna Novianty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.1991

Abstract

The purpose of this study was to determine the influence of users and the effectiveness of the Plastic Bottle Waste Compression Tool "Bottlepress" as an innovation in protecting the environment. The method used is a quantitative survey form using the Google Form platform in the form of a questionnaire to obtain a sample. Simple Linear Regression and Correlation methods were used as data analysis of this study.  The results of this study indicate that there is no influence between user convenience on compression tools with a greater significance α> 0.05, namely 0.373 and a regression coefficient of 0.167 units or 16.7% positive value.
Pengaruh Efektivitas Robot AI Berbasis Images Preprocessing Terhadap Kepuasan Pengguna Dalam Mendeteksi Kematangan Buah Tomat salsi kirana sya'bani; Nur Aziezah; Hikmah Rahmah; Ridwan Siskandar; Aep Setiawan
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2315

Abstract

This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes
Pengaruh Keefektifan Kinerja Robot "Apilastik" Terhadap Kepuasan Pengguna Dalam Mengidentifikasi Kerusakan Pada Gelas Air Mineral Ariya Pratama Adjie Nugroho; Hikmah Rahmah; Nur Aziezah; Ridwan Siskandar; Aep Setiawan
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3199

Abstract

This research brings the concept of the Internet of Things (IoT) in creating the Apilastic Robot, a device that aims to reduce customer losses by identifying the causes of rejected items, particularly in frequently returned cups. Through qualitative data collection from a case study with the researcher as the human instrument, the research objective was to develop a device that can recognize the type of damage on the glass, provide support to the user to identify the source of the problem, and take appropriate steps. The results of the analysis showed that product effectiveness had the greatest influence on tool usage satisfaction, explaining 77.2% of the variability in tool effectiveness. It is expected that these findings provide support to users in troubleshooting frequently returned glassware with root cause identification and appropriate steps.
Tingkat Kepuasan Pengguna Terhadap Kinerja Alat Kompressi Sampah Botol Plastik “Bottlepress” Berbasis IoT Yulanda Rizqi Ramadhini; Hikmah Rahmah; Nur Aziezah; Walidatush Sholihah; Inna Novianty
Jurnal Kendali Teknik dan Sains Vol. 2 No. 1 (2024): Januari : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i1.2166

Abstract

The purpose of this research is to ascertain how satisfied users are with the functionality of the IoT-based “BottlePress” plastic bottle waste compression tool. This research uses a survey method with quantitative research with a sampling technique, namely distributing online questionnaires via Google Form. A simple regression test was used to analyze data obtained from filling out the questionnaire. According to the research findings, most users are satisfied with the performance of the IoT-based “BottlePress” plastic bottle waste compression tool.
Pengaruh Tingkat Kepuasan Pengguna Alat Simonair Terhadap Minat Pengguna Dalam Memonitoring Kualitas Air Dany Fadhilah; Hikmah Rahmah; Nur Aziezah; Walidatush Sholihah; Faldiena Marcelita
Jurnal Kendali Teknik dan Sains Vol. 2 No. 1 (2024): Januari : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i1.2192

Abstract

Improving water quality is an important issue that governments and society must address. His one way to improve water quality is to monitor it regularly. Monitoring tools that are easy to use and accessible to the public can be a solution to improving water quality. The aim of this research is to assess how user satisfaction with Simonair affects their inclination towards monitoring water quality. The methodology involves conducting a survey with respondents utilizing the Simonair tool, and the gathered data is subjected to analysis through a straightforward linear regression examination.Top of Form The results show that users' satisfaction with the Simonair tool has a significant positive impact on their interest in water quality monitoring. The higher the user satisfaction, the more interested the user will be in  water quality monitoring with Simonair. Drawing from the findings of this investigation, it is possible to infer that users' satisfaction with the Simonair tool is an important factor influencing users' interest in water quality monitoring. Therefore, efforts are needed to increase user satisfaction with the Simonair tool and increase user interest in  water quality monitoring using Simonair.
Analisis Statistika Tingkat Kepuasan Pengguna Sistem Monitoring Mesin Cetak Pelet Pakan Ternak Berbasis IoT Khairunnisa Hayyu Kusnadi; Hikmah Rahmah; Nur Aziezah; Faldiena Marcelita; Inna Novianty
Jurnal Kendali Teknik dan Sains Vol. 2 No. 1 (2024): Januari : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i1.2284

Abstract

The aim of this research is to analyze the processing of user satisfaction data on the IoT-based feed pellet machine monitoring system using the Blynk application among visitors of the IT Fest at the School of Vocational IPB University, majoring in Software Engineering Technology (TPL), Computer Engineering Technology, and Industrial Management from batches 57, 59, and 60. The research method employed in this study is quantitative research using descriptive statistics. The sampling technique utilized is a survey method, and the instrument for data collection is a questionnaire. Subsequently, the analysis of all data is conducted by performing testing stages using measures of central tendency, including mean, median, and mode. Using the Likert scale, conclusions can be drawn from the respondents' answers.
Pengaruh Penampilan Dan Fitur Robot Quality Check Apilastik Terhadap Tingkat Kepuasan Pengguna Adelia Tri Aprilian; Hikmah Rahmah; Nur Aziezah; Walidatush Sholihah; Ridwan Siskandar; Aep Setiawan
Jurnal Publikasi Teknik Informatika Vol 3 No 1 (2024): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i1.2512

Abstract

Rapid advances in technology, particularly in the Internet of Things (IoT), are enabling the development of devices and robots that can be operated remotely. This research explores the effects of APILASTIK Quality Check Robot Appearance and Features on User Satisfaction Level. This tool, developed by Computer Engineering Technology students at IPB University's Vocational School, aims to detect defects in production products. The robot attracted great attention when it was presented at IT FEST 2023, showing the potential for wide use. Evaluations of the robot's appearance and features showed a positive and significant influence on the level of user satisfaction, with each variable contributing 66.4% and 25.4%, respectively. Hypothesis testing confirmed the overall positive and significant impact, with the coefficient of determination (R2) reaching 82.7%. The results of multiple linear regression analysis and t-test show that the robot's appearance and features individually contribute significantly to user satisfaction. With these findings, we can understand the factors that influence user satisfaction with damage-scanning robots. The recommendation is to focus on feature development or appearance enhancement to improve overall user satisfaction.
Analisis Pengaruh Artificial Intelligence Berbasis Images Preprocessing dalam Implementasi Deteksi Kematangan Buah Tomat Sevia Dwi Yanti; Hikmah Rahma; Nur Aziezah; Ridwan Siskandar; Aep Setiawan
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 1 No. 4 (2023): DESEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v1i4.1238

Abstract

Technological developments continue to increase not only in the industrial sector, but have also spread to the agricultural sector, including the tomato farming process. Currently, the stage of harvesting tomatoes no longer relies on manual work, but instead utilizes artificial intelligence technology based on images preprocessing. This research aims to see whether the independent variable (AI effectiveness) has an influence on the dependent variable (tomato ripeness level). The method used is qualitative with simple linear regression data analysis techniques which include the t test and f test. The sample used was a random sampling technique with data collection by distributing questionnaires to a total of 48 respondents. The research results show that the effectiveness of AI has a positive effect on the level of ripeness of tomato fruit. This can be proven from a simple linear regression analysis to obtain the equation Y = 3.498 + 0.787X. The findings from the ttest show that tcount (7.644) > ttable (2.012) with a significance of 0.001 < 0.05. Therefore, the conclusion drawn is to accept the alternative hypothesis (H1) while rejecting the null hypothesis (H0).
Co-Authors Adelia Tri Aprilian Aditya Wicaksono Aep Setiawan Ariya Pratama Adjie Nugroho BAYU WIDODO Dany Fadhilah Faldiena Marcelita Hikmah Rahma Hikmah Rahmah Inna Novianty Khairunnisa Hayyu Kusnadi Ridwan Siskandar Salsabila Diba Cahyani salsi kirana sya'bani Sevia Dwi Yanti Shinta Arafah Hidayanti Walidatush Sholihah Yulanda Rizqi Ramadhini