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All Journal Jurnal Algoritma JAIS (Journal of Applied Intelligent System) JMM (Jurnal Masyarakat Mandiri) Jurnal Teknik Informatika (JUTIF) Jurnal Kewarganegaraan Journal of Community Development Jurnal PkM MIFTEK Jurnal Algoritma Integrated : Journal Of Information Technology and Vocational Education
Muhammad Rikza Nashrulloh
Institut Teknologi Garut
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Analisis Penerimaan Sistem Informasi Akademik Mahasiswa (SIAM) Institut Teknologi Garut Menggunakan Metode Technology Acceptance Model Asri Mulyani; Muhammad Rikza Nashrulloh; Ai Karlina
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1198

Abstract

Garut Institute of Technology implements an academic information system for students as an educational institution. When an institution implements an information system, user acceptance must be considered. There has never been an evaluation of user acceptance of the system since it was implemented. This study examines student acceptance of system users using the Technology Acceptance Model Method. Evaluation data, and questionnaires were sent to active students of the Garut Institute of Technology, with a total of 1,681 respondents and a sample size of 200. The results supported only two of the five hypotheses tested in this study. One of them is that the E-Resources Organization has a positive effect on Perceived Ease of Use, with a probability value of 0.000 or less than 0.05 which indicates that the effect is significant at the 5% significance level. E-Resources organization has no effect on Perceived Ease of Use with a probability value of 0.077 or greater than 0.05 indicating no significance at a significance level of 5%, Perceived Ease of Use does not affect Perceived Usability with a probability value of 0 0.437 or greater than 0 .05, and Perceived Ease of Use has no effect on Attitude of Use with a probability value of 0.385 or greater than 0.05.
Sistem Informasi Penjadwalan Kendaraan Pada CV. Serin Transport Berbasis Web Muhammad Rikza Nashrulloh; Ridwan Setiawan; M Rizki Nur Jamil
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1202

Abstract

CV Serin Transport is a subsidiary of PT Fajar Prakasa, CV Serin Transport is engaged in goods delivery services. Services at CV Serin Transport include the distribution of fertilizers, both subsidized and non-subsidized, as for delivery areas including Garut, Ciamis, Tasikmalaya, and Sumedang districts. Problems with CV Serin Transport in scheduling Fleet departures still use manual, namely only using Microsoft excel is also data storage, data security, and presentation of information that is less efficient and effective, as well as recapitulation by the Administration which is done by one person. If a Fleet asks for departure schedule information for the delivery of goods, the result is that it becomes an obstacle to work and disrupts time efficiency and reduces company performance and profits. Vehicle Management Information System at CV Serin Transport, which was built to record goods delivery scheduling and produce a report on the scheduling of goods shipments to facilitate the presentation of information to Owners and Fleet. This Vehicle Management Information System uses the RAD (Rapid Application Development) Method using several stages, namely business modeling, data modeling, process modeling, application development, testing, and sales. The expected results in making the Vehicle Management System at CV Serin Transport can optimize the performance of the company.
TWITTER SOCIAL MEDIA SENTIMENT ANALYSIS AGAINST BITCOIN CRYPTOCURRENCY TRENDS USING RAPIDMINER Indri Tri Julianto; Dede Kurniadi; Muhammad Rikza Nashrulloh; Asri Mulyani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.289

Abstract

Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are even countries that already use Bitcoin as a legal transaction tool. The dynamics that occur in this Bitcoin trend make many new users. This lack of understanding of the technology can cast doubt on those who want to get started, so it is necessary to conduct sentiment analysis to increase knowledge of what Bitcoin is and how it works. This study aims to conduct a Sentiment Analysis regarding Bitcoin through Twitter social media, so that their opinion on this technology will be known. The method used is by using Tweet data that has been downloaded on the www.data.world.com website. The data is the result of using the Crawling technique, then sentiment analysis is carried out to classify a tweet into Neutral, Positive, or Negative. The results showed that from the 1998 dataset, 46.69% were classified as Neutral, then Positive, 43.54%, and 9.75% Negative.
THE PREDICTION OF PPA AND KIP-KULIAH SCHOLARSHIP RECIPIENTS USING NAIVE BAYES ALGORITHM Asri Mulyani; Dede Kurniadi; Muhammad Rikza Nashrulloh; Indri Tri Julianto; Meta Regita
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.297

Abstract

The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik (PPA) and the Kartu Indonesia Pintar Kuliah (KIP-K). The prediction results of scholarship recipients will provide information in the form of the possibility of acceptance and non-acceptance of scholarship applicants. To achieve this goal, this study uses the Naive Bayes algorithm, where this algorithm predicts future opportunities based on past data by going through the stages of reading training data, then calculating the number of probabilities and classifying the values in the mean and probability table. The data analysis includes data collection, data processing, model implementation, and evaluation. The data needed for analysis needs to use data from the applicants for Academic Achievement Improvement (PPA) scholarship and the Indonesia Smart Education Card (KIP-K) scholarship. The data used for training data were 145 student data. The results of the study using the Naive Bayes algorithm have an accuracy of 80% for PPA scholarships and 91% for KIP-K scholarships.
WALLET-BASED AUTHENTICATION ON COLLEGE INFORMATION SYSTEM Rickard Elsen; Muhammad Rikza Nashrulloh; Ade Sutedi
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.473

Abstract

Since the widespread use of cryptocurrency, blockchain technology start to be adapted in various applications. Some businesses are already adopting blockchain technology because of its advantages such as data integrity and privacy. One of them is Web 3.0. Web 3.0 puts forward data decentralization so that users can choose what data will be sent to the server. User data is provided locally with the help of a crypto wallet and the server just receives wallet info. With this mechanism, user privacy can be maintained directly by the user himself. All data will be processed at the users' end first before being sent to the server. With the new mechanism of web 3.0 and the advantages of blockchain, we build an application to authenticate students' login activities and grant roles to them based on their wallets. In this paper, we use the prototyping model as the method to build the application. We managed to utilize students’ wallet addresses as credentials. And with the help of Web3 module, we managed to decentralize the authentication process. And as a result of the successful authentication process, students can access their data based on their roles.
PENYADARAN BAHAYA UJARAN KEBENCIAN MELALUI #RTIKABDIMAS PROGRAM RELAWAN TEKNOLOGI INFORMASI DAN KOMUNIKASI ABDI MASYARAKAT Rinda Cahyana; Dewi Tresnawati; Leni Fitriani; Ridwan Setiawan; Eri Satria; Ade Sutedi; Sri Rahayu; Muhammad Rikza Nashrulloh; Rina Kurniawati; Yusnita Habsari Utami
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 5 (2022): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v6i5.10121

Abstract

Abstrak: Ujaran kebencian merupakan sisi negatif kebebasan berekspresi yang menimbulkan dampak buruk di dunia maya dan dunia nyata. Salah satu cara intervensi ujaran kebencian adalah pembangunan kompetensi literasi digital melalui pendidikan untuk meningkatkan pengetahuan masyarakat akan bahaya ujaran kebencian. Program Relawan Teknologi Informasi dan Komunikasi Abdi Masyarakat yang dikenali di media sosial dengan hastag #RTIKAbdimas adalah program rutin tahunan yang bertujuan untuk melaksanakan upaya pembangunan tersebut di kabupaten Garut. Metode #RTIKAbdimas secara garis besar mencakup perekrutan relawan TIK (Teknologi Informasi dan Komunikasi) dan pelayanan relawan dalam bentuk kegiatan edukasi. Sebanyak 184 orang mahasiswa Teknik Informatika tersebar di 31 kelompok relawan TIK dan menyampaikan layanannya kepada lebih dari 400 remaja di lingkungan mitra yang berada di sejumlah kecamatan dalam lingkup wilayah kabupaten Garut. Rata-rata nilai sertifikasi mereka sebagai relawan TIK adalah 48.56. Hasil survei program kepada mitra menunjukan sekitar 66% kegiatan pelayanan relawan TIK memberikan manfaat pengetahuan, di mana 87% peserta dari mitra merasa puas dan sangat puas. Mitra menilai aspek unggul relawan TIK pada komunikasi dan kerjasama. Menurut hasil tes peserta di awal dan akhir kegiatan, kinerja relawan TIK yang berhasil meningkatkan rata-rata pengetahuan bahaya ujaran kebencian sekitar 5.05 dari 41.12. Berdasarkan skor kinerja individual dan kelompok , sekitar 88% mahasiswa yang berpartisipasi sebagai relawan dalam #RTIKAbdimas terkualifikasi relawan TIK yang unggul.Abstract: Hate speech is a negative side of freedom of expression that has a harmful impact in cyberspace and the real world. One way of intervening against hate speech is the development of digital literacy competencies through education to increase public knowledge of the dangers of hate speech. The Community Service Information and Communication Technology Volunteer Program, known on social media with the hashtag #RTIKAbdimas is an annual routine program that aims to carry out these development efforts in the Garut district. The #RTIKAbdimas method broadly includes the recruitment of ICT volunteers (Information and Communication Technology) and volunteer services in the form of educational activities. A total of 184 Informatics Information Engineering students are spread across 31 ICT volunteer groups and deliver their services to more than 400 youths in partner environments located in several sub-districts within the Garut district. The average value of their certification as ICT volunteers on duty is 48.56. The results of the program survey to partners show that about 66% of ICT volunteer service activities provide knowledge benefits, of which 87% of participants from partners are satisfied and very satisfied. Partners assess the superior aspects of ICT volunteers in communication and collaboration. According to participants' test results at the beginning and end of the activity, the performance of ICT volunteers who succeeded in increasing the average knowledge of the dangers of hate speech was about 5.05 out of 41.12. Based on individual and group performance scores, about 88% of students who participate as volunteers in #RTIKAbdimas are qualified as excellent ICT volunteers.
Data Mining Algorithm Testing For SAND Metaverse Forecasting Indri Tri Julianto; Dede Kurniadi; Muhammad Rikza Nashrulloh; Asri Mulyani
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.7155

Abstract

Metaverse is a technology that allows us to buy virtual land. In the future life in the real world can be duplicated into the Metaverse to increase efficiency, effectiveness, and a world without being limited by space and time. To buy land in the Metaverse, one can be done by using SAND. SAND is a crypto asset from a game called The Sandbox which functions as a transaction tool where in that game we can buy land and build it for various purposes just like we can store our Non-Fungible Tokens there. Metaverse is a digital business that will promise in the future because it offers easy and fast transactions. This study aims to compare the exact algorithm for making predictions about the SAND cryptocurrency used to buy Metaverse land. 7 algorithms are being compared, namely Deep Learning, Linear Regression, Neural Networks, Support Vector Machines, Generalized Linear Models, Gaussian Process, and K-Nearest Neighbors. The research method used is Knowledge Discovery in Databases. The research results show that the Support Vector Machines Algorithm has the most optimal Root Means Square Error value, root_mean_squared_error: 0.022 +/- 0.062 (micro average: 0.062 +/- 0.000). Based on this comparison, the Support Vector Machines Algorithm is suitable for predicting SAND Metaverse prices.
DATA MINING CLUSTERING FOOD EXPENDITURE IN INDONESIA Indri Tri Julianto; Dede Kurniadi; Muhammad Rikza Nashrulloh; Asri Mulyani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.331

Abstract

The availability of food in a country is determined by a conducive climate. Prolonged droughts, floods, and natural disasters, especially for food crop production areas, will have an impact on the availability of natural disaster conditions faced by all countries including Indonesia is the Covid-19 pandemic, where this will affect food security in Indonesia. Data mining is the process of discovering the hidden meaning of a very large data set. The technique used in this study is Data Mining Clustering and the validity index used is Davies-Bouldin. This study aims to determine the Food Security Strategy in Indonesia through the Data Mining Clustering process based on food expenditure data and the Indonesian people's food expenditure per capita. The methodology used is Cross Industry Standard for Data Mining using the K-Means and K-Medoids Algorithm. The best cluster for the K-Means Algorithm is K=7 with a value of 0.341 and for the K-Medoids Algorithm, it is K=7 with a value of 0.362. This research produces the best algorithm, namely K-Means with a value of 0.341, which has a smaller value than K-Medoids with a value of 0.362. The results showed that the regional. cluster with the highest average expenditure on food was cluster 5 covering the DKI Jakarta area, while the cluster with the lowest expenditure was cluster 6 covering Central Java, East Nusa Tenggara, Southeast Sulawesi, Gorontalo, and West Sulawesi. In cluster 6, it is necessary to implement a strategy to increase food security by increasing production capacity and food reserves in each region.
Fleksibilitas infrastruktur smart cloud dalam kinerja sistem informasi manufaktur berorientasi layanan berbasis big data Muhammad Rikza Nashrulloh; Rickard Elsen
INTEGRATED (Journal of Information Technology and Vocational Education) Vol 3, No 2 (2021)
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/integrated.v3i2.64619

Abstract

Penelitian ini menginvestigasi peran krusial infrastruktur smart cloud dalam meningkatkan kinerja Sistem Informasi Manufaktur berorientasi layanan yang didukung oleh big data. Peran fleksibilitas infrastruktur smart cloud dalam meningkatkan kinerja Sistem Informasi Manufaktur (SIM) yang berorientasi layanan berbasis big data.  Infrastruktur smart cloud telah memungkinkan fleksibilitas yang diperlukan untuk mengelola dan menganalisis volume besar data yang dihasilkan oleh industri manufaktur modern. Penelitian ini bertujuan untuk memahami bagaimana infrastruktur smart cloud dapat mendukung sistem informasi manufaktur yang berorientasi layanan berbasis big data dan meningkatkan fleksibilitas operasional. Dalam konteks ini, penelitian menggali sejauh mana infrastruktur cloud pintar dapat mendukung integrasi data, pemrosesan data real-time, dan skalabilitas untuk meningkatkan efisiensi operasional dan pengambilan keputusan yang lebih tepat waktu dalam lingkungan manufaktur. Melalui analisis komprehensif, penelitian ini bertujuan mengidentifikasi manfaat fleksibilitas infrastruktur smart cloud dan memberikan panduan praktis untuk menerapkannya dalam konteks manufaktur berorientasi layanan. Hasil penelitian ini memberikan wawasan berharga tentang bagaimana pemanfaatan infrastruktur smart cloud dapat memberikan kontribusi signifikan pada Sistem Informasi Manufaktur berbasis big data dan memperkuat daya saing industri manufaktur di era digital.
Perancangan antarmuka sistem informasi asisten rumah tangga berbasis website menggunakan metode design thinking Muhammad Rikza Nashrulloh; Muh Fauzan Al - Haq; Putri Apriyanti; Ilham Wahyudi
INTEGRATED (Journal of Information Technology and Vocational Education) Vol 5, No 2 (2023)
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/integrated.v4i2.51523

Abstract

Dengan berkembangnya teknologi dan komputerisasi dalam beberapa  tahun terakhir sangat besar dengan memudahkan semua orang untuk  mengakses berbagai informasi dengan cepat dan mudah. Hal tersebut  akan berkaitan dengan orang-orang yang memiliki aktivitas yang padat termasuk wanita karir. Rutinitas harian yang cukup padat ini  membuat wanita karir tidak bisa mengerjakan semua pekerjaan  rumah tangga seperti ibu rumah tangga pada umumnya dikarenakan  adanya aktivitas yang tinggi sehingga banyak pekerjaan tak  tertangani dan akan terhambat. Di sisi pelanggan, terdapat  permasalahan dimana beberapa keluarga tidak bisa mempunyai  waktu untuk mencari asisten rumah tangga dengan datang langsung  ke yayasan yang akan penyediaan jasa asisten rumah tangga. Adapun fitur-fitur yang  tersedia di website diantara: fitur login, fitur register, fitur halaman  utama, fitur parttime/fulltime, fitur jenis pekerjaan, fitur profile art,  fitur lingkungan sekitar, fitur pemesanan art, fitur pembayaran dan  fitur pengaturan. Hasil dari proses usability testing diketahui bahwa  masih terdapat kekurangan dari segi desain dan juga implementasinya  yang perlu diperbaiki sehingga sistem Bantu.in dapat dikatakan layak  untuk digunakan. Dengan  hal itu tujuan dari adanya rancangan tersebut dirasakan membutuhkan sebuah website sistem  informasi untuk meningkatkan efektifitas dan efisiensi. Sistem ini diharapkan dapat membantu calon majikan dalam  mengetahui profil-profil para calon asisten rumah tangga tanpa harus  datang ke yayasan dengan cukup melihat website online saja,  penyalur juga dapat memasarkan SDM nya.
Co-Authors Ade Sutedi Ade Sutedi Ade Sutedi Ade Sutedi Ai Karlina Akib, Yasir Al Alawiyah, Dini Alhakeem, Reinalgy Azni Alinurdin, Rendi Apriliani, Insani Asgara, Zidan Asri Mulyani Dede Kurniadi Deni Heryanto Deni Heryanto Dewi Tresnawati Dewi Tresnawati Dzulkhomzah, Moh. Rival Eri Satria Eri Satria Faris, Salman Adam Fauzi, Sandi Muhtar Ilham Wahyudi Indri Tri Julianto Jaya, Mochamad Jipar, Muzaki Abdul Kifti, Jalaludin Latifah, Ayu Leni Fitriani Leni Fitriani, Leni M Rizki Nur Jamil Masripah, Ulpah Maulana, Moh. Alvin Apita Maulana, Yusep Meta Regita Mubarok, Muhammad Imam Husni Muh Fauzan Al - Haq Muhammad Azmi, Muhammad Munajat, Ikbal Muttaqin, Iswan Nurul Muttaqin, Moch Riefky Chaerul Muzaky, Rifky Khoerul Nurhakim, Sultan Jabar Nurmahmudi, Raihan Nurodin, Azmi Miftah Oktaviany, Sindi Patria, Dhika Muhamad Putra, Bangbang Hartono Putri Apriyanti Putri, Anisa Devisa Ramadhan, Tasya Shakila Ramdan, Galih Muhammad Reski Ramadhani Rickard Elsen Rickard Elsen Rickard Elsen Ridha, Muhamad Munna Ar Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rina Kurniawati Rina Kurniawati Rinda Cahyana Rinda Cahyana Riyandi, Fachrry Al-Fachrizzy Rizki, Ikbal Sholahudin, Hary Sidik, Ghimnastiar Moch SRI RAHAYU Sri Rahayu Yanti Yanti Yoga Handoko Agustin Yosep Septiana Yusnita Habsari Utami Zulfiansyah, Rezky