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Tukino
Universitas Buana Perjuangan Karawang
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Evaluation of Critical Thinking Disposition in Learning using E-Learning Tukino Paryono; Gunawan Gunawan; Sutarto Sutarto; Danny Manongga
INTERNAL (Information System Journal) Vol. 5 No. 2 (2022)
Publisher : Masoem University

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Abstract

Critical thinking disposition includes seven habits as a motivation in analyzing problems to make decisions in the online learning system applied at the University. E-Learning application as online learning media which is equipped with various facilities to support Lecturer activities.  The purpose of this study was to determine the differences in critical thinking disposition based on the gender of the lecturer and the level of the Lecturer's Academic Position.  The results of the analysis of the calculation of the average score on the evaluation of critical thinking dispositions based on the gender of women (M=3.02) and men (M=3.23) means that there are differences in critical thinking although relatively little. The difference is found in statements related to reading habits, digging and uploading material, easy to receive input, studying material, reviewing assignments and being open.  Meanwhile, the f-count value is 0.903 which is smaller than the f-table is 3.24 at p <0.50, this indicates that there is no significant difference in the Lecturer's Academic Position level in applying critical thinking dispositions in using E-Learning applications for the learning process. Two indicators, gender and Lecturer's Academic Position evaluated with 14 statements for 7 aspects have not shown significant differences, this provides an opportunity to be studied more deeply in compiling statement indicators and can be related to the development of Lecturer's critical thinking disposition with taxono bloom.
Seleksi Penerimaan Bantuan Internet Gratis dengan Menggunakan Metode AHP Tukino Paryono; Muhamad Rizky Arfani; Agustia Hananto; Baenil Huda
INTERNAL (Information System Journal) Vol. 6 No. 1 (2023)
Publisher : Masoem University

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Abstract

The internet is an information technology that is able to provide benefits for life and is a major requirement as a means of communication, entertainment or business. Covid 19 spreads throughout the City or Regency to villages in all regions in Indonesia which has a broad impact on the world of Education, especially Elementary and Middle School Education. Seeing the change in learning patterns from face-to-face to online learning, there are obstacles that are felt by students, especially in learning that requires the teaching and learning process between teachers and students to be carried out remotely (online). To support online learning, adequate internet facilities are needed. Provision of internet packages can be provided free of charge with due observance of predetermined requirements. To support the provision of free internet packages, a decision support system is needed to determine the selection of receiving free internet assistance so that it is right on target by using the Analytical Hierarchy Process (AHP) solving procedure. This method is used to make rankings for selecting free internet recipients, where the highest score is generated based on the best criteria. The results of calculations with this method. Where to make a decision support system in order to prevent errors in determining the criteria that deserve free internet assistance.
Penerapan Software Testing Life Cycle Pada Pengujian Otomatisasi Platform Dzikra Ruliansyah Ruliansyah; Tukino; Baenil Huda; April Lia Hananto
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.15.1.2023.01-11

Abstract

PT Bejana Investidata Globalindo (BIGIO), as an IT consultant and software development company, develops an in-house product called Dzikra which is a platform to help users build good habits in worship. In order to develop this system, the company requires a daily worship content management system known as the Dzikra web admin. The Software Development Life Cycle (SDLC) has several stages, one of the important stages is the testing stage which has the goal of evaluating whether the software has been created in accordance with the specifications and detects bugs or errors. Black box testing automation with Robot Framework can provide good testing documentation and can reduce human errors during the testing process. The implementation of the Software Testing Life Cycle (STLC) in the testing process can also make the testing flow more structured and provide a better focus on each testing stage. The results of the testing show that of the six features tested, they have run as expected. It is hoped that this research will provide support to PT Bejana Investidata Globalindo (BIGIO) in automating software testing process.
Classification Of Kredivo Application Reviews Based On User Satisfaction Aspects With The SVM Method Haprilianh Hasanah; Tukino; Shofa Shofia Hilabi
Jurnal Riset Informatika Vol. 7 No. 4 (2025): September 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i4.390

Abstract

The development of the fintech sector in Indonesia has encouraged the creation of various digital payment applications, one of which is Kredivo which provides instant credit and installments without a credit card. In this study, we analyzed and classified Kredivo application user reviews based on satisfaction attributes using the Support Vector Machine (SVM) method. Review data was collected from the Google Play Store and pre-processed using text preprocessing, InSet dictionary-based sentiment tagging, TF-IDF feature extraction, and training-test data splitting in an 80:20 ratio. Based on the analysis, most Kredivo user reviews were observed to have positive sentiment of 38.70%, negative sentiment of 26.90%, and neutral of 34.40%. The SVM model developed for Kredivo review sentiment labeling works with positive, negative, and neutral. Word cloud visualization recognizes the most important words with positive tones such as "mantap", "baik", "cepat", "mudah", and "transaksi", as well as the most important words with negative tones such as "hapus", "bayar", "bulan", "meminjam", and "tidak". The results of this study can be feedback for Kredivo developers and other fintech platforms to improve services based on user needs and demands, as well as strengthen business strategies according to customer satisfaction levels.
MODELING THE DISTRIBUTION OF HIV CASES WITH K-MEANS CLUSTERING CASE STUDY OF WEST JAVA PROVINCE Muhammad Difa Prakoso Fuadi; Tukino; Agustia Hananto; Fitria Nurafriani
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2107.927 KB) | DOI: 10.34288/jri.v7i3.374

Abstract

In Indonesia, the problem of HIV/AIDS is a serious concern because the trend of cases tends to increase in several regions, including in West Java Province, 2018 data from the Health Office shows a significant variation in the number of HIV cases among districts and cities in the province, in this journal, a visualization process is carried out using Google Colaboratory (Google Colab) to provide an overview of the distribution pattern of cases based on the results of the K-Means Clustering algorithm. The results showed the existence of three main clusters, namely areas with low, medium, and high numbers of cases. Large cities such as Bandung and Bekasi were in the group with the highest number of cases, while peripheral and rural areas showed lower numbers of cases. This finding is expected to be the basis for formulating more effective health policies, especially in education programs, early detection, and community-based interventions to support the goal of eliminating HIV by 2030, then what can be done is to carry out intervention strategies or steps to prevent the spread of HIV tailored to the risk level of each cluster resulting from clustering analysis. Local governments are expected to utilize the results of this mapping to develop more detailed prevention strategies according to the characteristics of each region.
Co-Authors ., Widiyawati Aditia Agustian Adittia Agustian Agneresa Agneresa Ammar Sufyan April Lia Hananto Aprilia Putri Nardilasari Aurel Adhitya Anwar Awaljan Situmorang Baenil Huda Danny Manongga Daryanto Herdiana Dyno Syaiful Annam Faqih Pratama Muthi Fitria Nurafriani Fitria Nurapriani Fitria Nurapriani Fizra Firdaus Nillan Gunawan Gunawan Hananto, Agustia Haprilianh Hasanah Insan Kamaludin Arifin Irpan Hilmi Kamila Berkah* Muhamad Djaka Permana Muhamad Rizky Arfani Muhammad Difa Prakoso Fuadi Muhammad Hatami Muhammad Khaerudin Novalia, Elfina Novia Cahya Utami Priyatna, Bayu Riandi Nandaputra Ruliansyah Ruliansyah Saepul Aripiyanto Saepul Aripiyanto Sandi Ahmad Seia Piantara Shofa Shofia Hilabi Shofa Shofiah Hilabi Siti Masruroh Sutarto Sutarto Tatuhey, Emy Lenora Tita Puspita Sari Witulas Ambang Cahyati Wresti Andriani