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Kajian Konsep Fisika Berbasis Kearifan Lokal Dalam Tari Bonet Suku Dawan Bobu, Fetronela Rambu; Ludji, Dian Grace; Donuata, Pujianti Bejahida
Schrodinger Jurnal Ilmiah Mahasiswa Pendidikan Fisika Vol 6, No 1 (2025): Schrodinger Jurnal Ilmiah Mahasiswa Pendidikan Fisika
Publisher : UNIVERSITAS INDRAPRASTA PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sch.v6i1.13981

The research conducted involves a study of the physics concepts that can be found in the movements of the Bonet dance. The focus of this research is to position the Bonet dance in different contexts according to the philosophy of the dance, relating it to the physics concepts within the dance movements. This study is qualitative in nature, using descriptive qualitative methods. The data sources consist of literature review and documentation. The results of the research show that physics concepts have been identified in the basic movements of the Bonet dance. Some of the physics concepts found in the movements of the Bonet dance include frictional force, equilibrium, momentum, inertia, and torque. This demonstrates that culture can be used to explain or illustrate physics concepts. Thus, the Bonet dance of the Dawan tribe can be used as a learning resource for students in physics classes.

Expert system diagnoses skin diseases using web-based Forward Chaining method Taena, Ignasia Wanty; kelen, Yoseph pius kurniawan; Ludji, Dian Grace
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29955

The skin is an essential part of the human body that plays a role in protection, temperature regulation, and sensation. Maintaining skin health is crucial because skin infections can arise from bacteria, viruses, fungi, and parasites, and often spread through direct contact. Environmental factors, such as the availability of clean water, are among the main causes of skin diseases. Unfortunately, many people consider skin diseases to be trivial, whereas if left untreated, these conditions can become fatal. A lack of understanding and information often leads to delayed treatment.To address this issue, an expert system has been developed to enable early diagnosis of skin diseases. This system uses the forward chaining method, an approach that starts from initial facts and moves toward a conclusion through a structured series of questions. One of the advantages of this method is its ability to process limited data into useful and accurate information. The expert system is designed as a web-based application to ensure broader public access.The diseases that can be diagnosed include ringworm, tinea versicolor, scabies, chickenpox, boils, dermatitis, rhinitis, and urticaria. This system is expected to help the public in recognizing symptoms of skin diseases and provide early support before consulting a doctor. Based on previous research, the lack of disease and symptom data was a challenge. Therefore, this study added 15 types of skin diseases and 20 symptom data points.For future development or further research, it is recommended to expand the system with more types of diseases, different diagnostic methods, and additional features to improve accuracy and user-friendliness in diagnosing skin diseases. Test data from 30 users showed a 90% accuracy rate, indicating that the expert system successfully helps users and provides solutions.Keywords: Expert System, Forward Chaining, Skin Disease, Early Diagnosis dini, Web

Pendampingan Kegiatan Studi Independen Mahasiswa terkait Artificial Intelligence di PT. Orbit Ventura Indonesia Bobu, Fetronela; Ludji, Dian Grace; Handrianus V.M. Wula; Risald
Jurnal Atma Inovasia Vol. 5 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i4.11281

Kebijakan Kampus Merdeka, yang digagas oleh Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemendikbudristek) pada tahun 2020, berperan penting dalam mempersiapkan sumber daya manusia yang kompeten dan mampu beradaptasi dengan perkembangan di era Industri 4.0 dan Society 5.0. Untuk mendukung kesiapan Perguruan Tinggi dalam menghadapi tantangan tersebut, kebijakan Kampus Merdeka memberikan kebebasan bagi mahasiswa untuk memperoleh pengalaman belajar di luar lingkungan kampus melalui program Studi Independen yang bertujuan untuk membekali mahasiswa dengan keterampilan praktis yang relevan dengan perkembangan teknologi yang diterapkan dalam dunia industri. Program ini memungkinkan mahasiswa untuk mendalami bidang yang diminati seperti Artificial Intelegence dengan bimbingan dari lembaga mitra salah satunya adalah PT. Orbit Ventura Indonesia. Pembelajaran dilakukan secara daring dimulai dari bulan agustus 2023 hingga januari 2024 yang dimonitoring oleh Dosen Pendamping Program (DPP). DPP melakukan koordinasi bersama mitra dalam mengevaluasi proses pembelajaran mahasiswa di PT. Orbit Ventura Indonesia. Hasil monitoring dilaporkan secara berkala melalui LMS Kampus Merdeka.

Using of Computer Technology for Enhancing Students Interest Learning in SMP Kristen Kefamenanu Chrisinta, Debora; Ludji, Dian Grace; Bobu, Fetronela Rambu; Gelu, Leonard Peter; Benu, Luky Wandika; Pakaenoni, Lusilia Dos Santos; Simarmata, Justin Eduardo
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.12729

SMP Kristen Kefamenanu has facilities and infrastructure such as the availability of classrooms, computer laboratory rooms, libraries and others. There are obstacles in the implementation of school learning that is still centered on teachers and does not use computer-aided learning media. Therefore, service activities are carried out to increase the interest and ability of students in the learning process through the use of computer technology. Some of the activities carried out to solve problems in SMP Kristen Kefamenanu: a) providing training on Mathematics learning media for SMP Kristen Kefamenanu and b) providing training on computer technology in the form of MS. Excel Software to SMP Kristen Kefamenanu. The results of the service activities carried out show that there is an increase for students in understanding mathematical concepts such as addition, subtraction, multiplication and division involving complex numbers. In addition, the existence of computer-aided media also increases students' interest for learning process.

Pendampingan Kegiatan Studi Independen Mahasiswa terkait Artificial Intelligence di PT. Orbit Ventura Indonesia Bobu, Fetronela; Ludji, Dian Grace; Handrianus V.M. Wula; Risald
Jurnal Atma Inovasia Vol. 5 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i4.11281

Kebijakan Kampus Merdeka, yang digagas oleh Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemendikbudristek) pada tahun 2020, berperan penting dalam mempersiapkan sumber daya manusia yang kompeten dan mampu beradaptasi dengan perkembangan di era Industri 4.0 dan Society 5.0. Untuk mendukung kesiapan Perguruan Tinggi dalam menghadapi tantangan tersebut, kebijakan Kampus Merdeka memberikan kebebasan bagi mahasiswa untuk memperoleh pengalaman belajar di luar lingkungan kampus melalui program Studi Independen yang bertujuan untuk membekali mahasiswa dengan keterampilan praktis yang relevan dengan perkembangan teknologi yang diterapkan dalam dunia industri. Program ini memungkinkan mahasiswa untuk mendalami bidang yang diminati seperti Artificial Intelegence dengan bimbingan dari lembaga mitra salah satunya adalah PT. Orbit Ventura Indonesia. Pembelajaran dilakukan secara daring dimulai dari bulan agustus 2023 hingga januari 2024 yang dimonitoring oleh Dosen Pendamping Program (DPP). DPP melakukan koordinasi bersama mitra dalam mengevaluasi proses pembelajaran mahasiswa di PT. Orbit Ventura Indonesia. Hasil monitoring dilaporkan secara berkala melalui LMS Kampus Merdeka.

Pembuktian Struktur Peubah Instrumen Blundell-Bond Generalized Method of Moment (BB-GMM) Estimator Model Regresi Panel Dinamis Buan, Febrya; Ludji, Dian Grace; Maure, Osniman Paulina
Leibniz: Jurnal Matematika Vol. 3 No. 1 (2023): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v3i1.221

Pemodelan regresi panel dinamis dapat mengakomodir gabungan data cross section, time series dan lag time. Adanya lag time peubah respon dalam model mengakibatkan permasalahan endogenitas, yaitu suatu kondisi korelasi antara lag peubah respon dengan error mengakibatkan tidak terpenuhinya sifat kebaikan penduga. Penyelesaian permasalahan tersebut dengan membentuk peubah instrumen yang merupakan proyeksi linier lag peubah respon dari model first diference dan model level regresi panel dinamis yang diestimasi dengan prosedur BB-GMM estimator. Penelitian ini bertujuan untuk membuktikan validitas dari setiap peubah instrumen yang terbentuk dari model regresi panel dinamis. Hasil penelitian empiris diperoleh himpunan peubah instrumen model first diference yang valid yaitu dan himpunan peubah instrumen model level adalah (yi1, yi2,...,yT-2) dan himpunan peubah instrumen model level adalah (yi2, yi3,...,yt-1)

Expert system diagnoses skin diseases using web-based Forward Chaining method Taena, Ignasia Wanty; kelen, Yoseph pius kurniawan; Ludji, Dian Grace
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29955

The skin is an essential part of the human body that plays a role in protection, temperature regulation, and sensation. Maintaining skin health is crucial because skin infections can arise from bacteria, viruses, fungi, and parasites, and often spread through direct contact. Environmental factors, such as the availability of clean water, are among the main causes of skin diseases. Unfortunately, many people consider skin diseases to be trivial, whereas if left untreated, these conditions can become fatal. A lack of understanding and information often leads to delayed treatment.To address this issue, an expert system has been developed to enable early diagnosis of skin diseases. This system uses the forward chaining method, an approach that starts from initial facts and moves toward a conclusion through a structured series of questions. One of the advantages of this method is its ability to process limited data into useful and accurate information. The expert system is designed as a web-based application to ensure broader public access.The diseases that can be diagnosed include ringworm, tinea versicolor, scabies, chickenpox, boils, dermatitis, rhinitis, and urticaria. This system is expected to help the public in recognizing symptoms of skin diseases and provide early support before consulting a doctor. Based on previous research, the lack of disease and symptom data was a challenge. Therefore, this study added 15 types of skin diseases and 20 symptom data points.For future development or further research, it is recommended to expand the system with more types of diseases, different diagnostic methods, and additional features to improve accuracy and user-friendliness in diagnosing skin diseases. Test data from 30 users showed a 90% accuracy rate, indicating that the expert system successfully helps users and provides solutions.Keywords: Expert System, Forward Chaining, Skin Disease, Early Diagnosis dini, Web

KLASTERISASI MODEL PEMBELAJARAN DI UNIVERSITAS TIMOR MENGGUNAKAN METODE K-MEANS: CLUSTERING OF LEARNING MODELS AT UNIVERSITAS TIMOR USING THE K-MEANS METHOD Seran, Krisantus Jumarto Tey; Fallo, Glorita D.R.M; Ludji, Dian Grace; Chrisinta, Debora
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 17 No. 1 (2026): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol17no1.p121-130

Penelitian ini bertujuan untuk mengidentifikasi pola model pembelajaran di Universitas Timor menggunakan metode K-Means. Lima variabel utama yang digunakan dalam klasterisasi meliputi metode pembelajaran, jenis evaluasi, ketersediaan sumber daya, tingkat kepuasan, dan fleksibilitas waktu belajar. Data primer diperoleh dari 1.018 mahasiswa aktif melalui kuesioner skala Likert. Jumlah klaster optimal ditentukan menggunakan metode Elbow, yang menghasilkan dua klaster utama. Klaster 1 didominasi oleh mahasiswa yang memilih pembelajaran offline dengan pendekatan diskusi dan evaluasi berupa tugas individu. ketersediaan sumber daya masih terbatas, tingkat kepuasan tinggi dan fleksibilitas waktu belajar sangat baik. Klaster 2 juga menunjukkan preferensi terhadap pembelajaran offline dengan metode pendekatan dosen berupa diskusi jenis evaluasinya tugas individu. Sumber daya baru sebagian yang terpenuhi , dengan tingkat kepuasan yang baik dan fleksibilitas waktu belajar yang cukup baik. Evaluasi kualitas hasil klaster menggunakan metode Silhouette Coefficient menghasilkan nilai 0,3377, yang termasuk dalam kategori Weak Structure. Hasil penelitian ini diharapkan dapat menjadi bahan pertimbangan dalam pengembangan kebijakan pembelajaran dan penyusunan kurikulum yang lebih sesuai dengan karakteristik mahasiswa. This study aims to identify learning pattern types at the University of Timor using the K-Means clustering method. Five main variables were used in the clustering process, including learning method, type of evaluation, availability of resources, student satisfaction, and time flexibility. Primary data were obtained from 1,018 active students through a Likert-scale questionnaire. The optimal number of clusters was determined using the Elbow method, which resulted in two main clusters. Cluster 1 is dominated by students who prefer offline learning with a discussion-based approach and individual task evaluation. Resource availability is still limited, but the level of satisfaction is high, and learning time flexibility is considered very good. Cluster 2 also shows a preference for offline learning with a discussion-based teaching approach and individual task evaluation. However, resource availability is only partially met, with good satisfaction levels and fairly good time flexibility. The quality of the clustering results was evaluated using the Silhouette Coefficient method, which produced a score of 0.3377, categorized as a Weak Structure. The results of this study are expected to serve as a consideration in developing learning policies and curriculum planning that better align with student characteristics.

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