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PENGENALAN EDUKASI GERAKAN DAN BACAAN SHALAT WAJIB BERBASIS ANDROID Sigit Tri Wibowo; Rito Cipta Sigitta Hariyono; Khurotul Aeni
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 9, No 1 (2020): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v9i1.1819

Abstract

Prayer is the main pillar of religion and worship in the religion of Islam, the ruling on prayer is obligatory for all Muslims. In the procedure for working on the prayer movement must be orderly and in accordance with the way that has been determined. In this paper, we will discuss the process of making the application of movement learning and reading the obligatory prayers. This theme was raised because of the interest of children (aged 5-7 years) in the village of Prupuk Selatan RT 02 RW 03 still lacking in learning about the obligatory prayer guidelines. Parents usually provide movement learning and prayer recitation to their children still using conventional media such as books, brochures and the like. The purpose of this study was to produce a 3D educational application of compulsory prayer and reading prayers based on android with system design methods using the waterfall method. The results of the design of 3D motion education applications and prayer readings must display the animation of the prayer movement must be accompanied by the sound of reading, this educational application was successfully built with the developer tools 3DS Max 2012 and Unity 3D. Kata kunci : Shalat, Unity 3D, Animasi 3D, 3DS Max
KLASIFIKASI TINGKAT KEMATANGAN BUAH BELIMBING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (KNN) Anisatul, Maola; Aeni, Khurotul
Jurnal Sistem Informasi dan Teknologi Peradaban Vol. 4 No. 2 (2023): Jurnal Sistem Informasi dan Teknologi Peradaban
Publisher : Prodi Sistem Informasi Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jsitp.v4i2.1571

Abstract

Belimbing manis atau dalam Bahasa ilmiahnya disebut Averrhoa carambola L. adalah salah satu dari jenis buah tropis yang mempunyai potensi pasar yang bagus karena buah ini populer dikalangan masyarakat dan memiliki banyak nilai gizi selain rasanya yang manis dan menyegarkan. Salah satu faktor yang sangat mempengaruhi kualitas buah belimbing yaitu penanganan saat panen dan pascapanen. Pengklasifikasian kematangan buah belimbing yang dilakukan oleh para petani pada umumnya menggunakan proses pemilahan buah belimbing dengan cara melihat pada perubahan kekerasan dan warna kulit. Cara tersebut tentunya memiliki kelemahan yaitu proses klasifikasi yang lambat, pemilahan kurang akurat, dan hasil yang tidak konsisten. Berdasarkan permasalahan tersebut dibuatlah sebuah sistem untuk mengklasifikasikan tingkat kematangan buah belimbing madu dengan memanfaatkan fitur warna HSV (Hue, Saturation, Value) menggunakan metode K-Nearest Neighbor (KNN) serta menerapkan metode hasil evaluasi menggunakan Confusion Matrix. Klasifikasi menggunakan software matlab untuk pembuatan sistem klasifikasi dengan 3 kelas yaitu kelas mentah, setengah matang, dan matang. Hasil penelitian ini diharapkan dapat membantu petani bauh belimbing dalam melakukan klasifikasi tingkat kematangan buah belimbing madu. Dalam penelitian ini menggunakan data citra sebanyak 126 yang dibagi menjadi 87 data latih dan 39 data uji. Data tersebut diklasifikasikan menggunakan algoritma K-Nearest Neighbor (KNN) dengan nilai K= 5. Dari penelitain ini didapatkan hasil akurasi sebesar 87,17% dengan hasil klasifikasi akurat sebanyak 34 data citra dan hasil klasifikasi tidak akurat sebanyak 5 data citra. Keyword: buah belimbing madu, k-nearest neighbor (KNN), HSV, confusion matrix.
"CHANCIFY" PWA (Progressive Web App) Learning Application to Enhance Motivation and Support Critical Thinking Skills Fasha, Eka Farida; Hafiz Multazam Azhar; Khurotul Aeni
Integral (Jurnal Penelitian Pendidikan Matematika) Vol. 7 No. 1 (2024): November 2024
Publisher : Program Studi Pendidikan Matematika, Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/jppm.v7i1.135

Abstract

Abstract The development of technology in the 21st century has brought significant changes across various sectors, including education. Education must continuously adapt to remain relevant by leveraging technology, such as developing technology-based learning applications. The "Chancify" PWA (Progressive Web App) was developed to enhance student learning motivation and support students' critical thinking skills. This application provides comprehensive materials, practice questions, quick calculation features, interactive quizzes, and a chat feature to support learning. This research used a development research method, which included stages of preliminary study, planning, validation, final product review, and dissemination. Validation results showed that the application is valid with a score of 84.72% from media experts and 92.5% from subject matter experts. The practicality of the application was rated at 82.75% by users, indicating that the application is practical and valid. Motivation survey results showed a significant increase in students' learning motivation. The findings of this study are expected to improve the quality of education and student achievement.
Implementasi Deteksi Objek Dengan Model YOLOV8 pada Pengenalan Bahasa Isyarat Aeni, Khurotul; Millah, Asep Saeful
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.7342

Abstract

Bahasa isyarat adalah alat komunikasi yang diterapkan oleh penyandang tunarungu dan tunawicara untuk berkomunikasi dengan masyarakat umum. Gerakan tangan, mimik, dan gerakan tubuh berupa simbol yang mewakili huruf maupun kata digunakan penyandang tunarungu dan tunawicara untuk berinteraksi dengan orang lain. Namun, kesenjangan komunikasi antara mereka dan masyarakat umum masih ada sampai saat ini. Pemahaman yang mendalam dibutuhkan untuk komunikasi ini, khususnya untuk mereka yang tidak terbiasa menggunakan bahasa isyarat. Hal ini membuat masyarakat umum kesulitan berkomunikasi dengan orang yang tunarungu dan tunawicara. Sebab itu diperlukan sebuah sistem yang membantu masyarakat umum berinteraksi dengan para penyandang tunarungu dan tunawicara dengan menerapkan teknologi informasi yang saat ini berkembang seperti penggunaan deep learning. Maksud dari penelitian ini yaitu mengimplementasikan deteksi objek dengan metode YOLOV8 untuk mengenali bahasa isyarat dari data gambar dan dibuatnya sistem pengenalan bahasa isyarat ini diharapkan dapat mempermudah masyarakat dalam mengenali bahasa isyarat SIBI berupa abjad menggunakan gestur tangan. YOLOV8 banyak digunakan dalam deteksi objek karena tingkat akurasi yang dihasilkan sangat tinggi dan kecepatan yang seimbang, sehingga memungkinkan untuk mendeteksi objek secara cepat dan akurat. Model ini berhasil mendapatkan nilai akurasi terbesarnya yaitu 99,5%. Selain itu, kecepatan deteksi gestur SIBI pada model ini memilki rata-rata 4046 ms
Implementasi Media Augmented Reality dalam Pembelajaran Bangun Ruang di Sekolah Dasar (SD) Ta’allumul Huda Bumiayu Eka Farida Fasha; Rimbatmojo, Sigit; Ghulam Arif Rizal; Khurotul Aeni; Asep Saeful Millah
Empowerment : Jurnal Pengabdian Masyarakat Vol. 8 No. 02 (2025): Empowerment
Publisher : Program Studi Ilmu Hukum Fakultas Hukum Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/empowerment.v8i02.11886

Abstract

Students' understanding of three-dimensional geometric concepts at SD Ta’allumul Huda Bumiayu remains relatively low, primarily due to the limited availability of visual learning media. The purpose of this training activity is to introduce the use of Augmented Reality (AR) applications as an interactive learning tool. The program was implemented in three stages: preparation, implementation, and evaluation. In the preparation stage, a site survey and development of learning materials were conducted. During the implementation stage, the team presented geometry lessons using AR media to fifth-grade students. The evaluation stage involved data collection and analysis, conducted through observation, semi-structured interviews, and student perception questionnaires. The results indicated an increase in student engagement and understanding of spatial concepts. A total of 93% of students stated that the material was more engaging, while 87% reported improved comprehension of the elements and properties of geometric shapes. Teachers also found the AR media to be practical and aligned with learning objectives. These findings suggest that the use of AR technology serves as an innovative solution to enhance contextual learning quality in primary school mathematics education.
Indonesian Hate Speech Text Classification Using Improved K-Nearest Neighbor with TF-IDF-ICSρF Saputra, Nova Adi; Aeni, Khurotul; Saraswati, Nurul Mega
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.48085

Abstract

Purpose: Freedom in social media gives rise to the possibility of disturbing users through the sentences they send, which is limited by the Electronic Information and Transactions Law (UU ITE). This research aims to find an effective method for classifying hate speech text data, especially in Indonesian, with many categories expected to minimize this case.Methods: This study used 1.000 data from Twitter with five labels, including religion, race, physical, gender and other (invective or slander). The process started with several steps of preprocessing, data transformation using TF-IDF-ICSρF term weighting and data mining using an Improved KNN algorithm. Then, the results were compared with the TF-IDF and KNN methods to evaluate the differences.Result: Using TF-IDF-ICSρF and Improved KNN algorithms gets an average accuracy value of 88.11%, 17.81% higher compared with the same data and parameters to the K-Nearest Neighbor and TF-IDF algorithms, which get results of 70.30%.Novelty: Based on the comparison results, TF-IDF-ICSρF and Improved KNN methods can effectively classify hate speech sentences that have many labels with fairly good accuracy.
Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi Aeni, Khurotul
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 2 No 1 (2018): Vol. 2 No. 1 Februari 2018
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (190.505 KB) | DOI: 10.29407/intensif.v2i1.11841

Abstract

So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts
ITSM Strategy Using CSI on ITIL V.3 To Improve IT Services Aeni, Khurotul; Adzin, Randi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 2 (2020): August 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.967 KB) | DOI: 10.29407/intensif.v4i2.14297

Abstract

The SIMBARU (Academic information System) has The obstacles that currently occur in the SIMBARU process is how to utilize an IT-based academic service system that is ready to run/use in the optimal time optimally, providing services with the right target, fast access that can provide satisfaction to users (user), as well as vision of mission and institutional business objectives can be realized. By using PDCA data analysis Method (Plan, Do, Check, and ACT), it is expected to design a SIP document (Service Improvement Plan) to improve the performance of SIMBARU. The design of SIP documents on SIMBARU can be done by using IT Infrastructure Library V. 3 by analyzing the condition of SIMBARU which then produce output in the form of SIP. Results of this research SIP designed in accordance with the knowledge gained from the results of the analysis, can be used as a strategy to improve IT services in college, which resulted in recommendation of improvement and output in the form of SIP. Repair and SIP recommendations are expected to be implemented to improve IT services, so that the IT service i.e. SIMBARU can help the academic staff in conducting academics in college.
KAJIAN PSIKOLOGI HUMANISTIK NOVEL PUKUL SETENGAH LIMA KARYA RINTIK SEDU DAN PEMANFAATANNYA SEBAGAI BAHAN AJAR PEMBELAJARAN SASTRA DI SMA Aeni, Khurotul; Muji Zain Naufal; Rusli
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Order
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.35563

Abstract

This study examines the mental health of the main character, Alina, in the novel Pukul Setengah Lima by Rintik Sedu through the humanistic psychology approach of Abraham Maslow, and examines its relevance as a literature teaching material in high school. This study is motivated by the importance of literature as a learning medium that not only has an aesthetic function, but also conveys psychological understanding and human values for students. This study uses a descriptive qualitative method, with Miles and Huberman analysis techniques to examine the fulfillment of five levels of Maslow's needs, namely physiological, security, affection, appreciation, and self-actualization. The results of the analysis showed that Alina was only able to meet two levels of needs, namely physiological needs and some reward needs. His physiological needs can be seen from his ability to work to meet basic daily needs, such as eating, drinking, clothing, and board. Success in meeting these most basic needs provides an important foundation for his survival and proves that despite being surrounded by various emotional problems, he is still able to survive physically. Meanwhile, the need for appreciation is also met through Alina's firm attitude in maintaining her dignity and self-esteem. He rejects the transactional view of relationships, asserts that he is not a medium of exchange or merely an object whose value is determined by matter, and demands recognition of his intrinsic value as a whole human being. The results of the first validation by linguists and literature experts obtained an average score of 4.0 in the category of excellent and declared suitable for use. The second validation by media experts obtained an average score of 3.0 in the good category and was also declared suitable for use, although there were some inputs for improving the appearance and presentation. Meanwhile, the third validation by practitioners/teachers obtained an average score of 4.0 with the category of very good and declared suitable for use. The validation results show that the teaching materials for the novel At Half Five based on Maslow's theory are included in the good to very good categories, so it can be concluded that the teaching materials are suitable for use in literary learning in high school.