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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)

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.

Pemanfaatan Software Geogebra Untuk Simulasi Tumbukan Antar Partikel Dalam Satu Dimensi Fetronela Rambu Bobu; Risald; Dian Grace Ludji; Pujianti Bejahida Donuata
Kappa Journal Vol 8 No 3 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i3.28478

Penelitian yang terkait pemanfaatan media simulasi komputer sangat menarik dalam pembelajaran fisika karena dapat memvisualisasikan konsep – konsep fisika baik dalam bentuk grafik maupun tabel. Salah satu media simulasi yang dapat digunakan adalah geogebra. Tumbukan atau lentingan antar partikel dapat juga disebut sebagai pantulan karena terjadi antar dua benda yang saling berpadu dan memantul akibat dari adanya pantulan tersebut. Peristiwa tumbukan antara dua benda dapat menyebabkan benda saling menjauh, atau saling berpadu dan bergerak dengan kecepatan yang sama. Penelitian ini bertujuan untuk menentukan gambaran simulasi dari benda yang bertumbukan. Metode yang digunakan merupakan desain pemodelan grafik. Hasil dari penelitian menunjukkan bahwa geogebra dapat mempermudah pemahaman konsep-konsep fisika terkait tumbukan seperti hukum kekekalan momentum, energi kinetik, dan koefisien restitusi melalui visualisasi yang interaktif. Selain itu, siswa dapat mengamati perubahan dalam kecepatan, lintasan, dan energi sebelum dan setelah tumbukan.

Klasifikasi Penerimaan Bantuan Siswa Miskin Menggunakan Naive Bayes di Wilayah Perbatasan RI-RDTL: Classification of Poor Student Assistance Recipients Using Naive Bayes in the RI–RDTL Border Region Mau, Madalena Bada; Seran, Krisantus Jumarto Tey; Ludji, Dian Grace; Maneno, Regolinda
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2689

Program Bantuan Siswa Miskin (BSM) bertujuan membantu siswa dari keluarga kurang mampu agar tetap mengenyam pendidikan di bangku sekolah. Sampai saat ini, realita penentuan penerima bantuan masih menghadapi permasalahan subjektivitas dan kurang optimalnya pemanfaatan data riil di lapangan. Dalam penelitian ini membangun model klasifikasi menggunakan Algoritma Naïve Bayes untuk memprediksi kelayakan penerima bantuan siswa miskin tingkat SMP wilayah perbatasan Indonesia dan Timor Leste yakni Kabupaten Belu. Data yang digunakan merupakan data sekunder dari Dinas Pendidikan pada tahun 2022–2024 dan terdapat 2.607 siswa yang telah menerima bantuan BSM. Tahapan penelitian ini meliputi preprocessing data, transformasi data kategorik, normalisasi, spilt data, model metode serta evaluasi model menggunakan teknik Holdout validation dan K-Fold cross validation. Hasil penelitian menunjukkan bahwa metode K-Fold cross validation menghasilkan rata-rata akurasi sebesar 87,69%, lebih tinggi dibandingkan Holdout validation sebesar 87,16%. Selain itu, pada fold terbaik diperoleh akurasi sebesar 99,61%, yang menunjukkan bahwa model dapat mencapai performa optimal pada kondisi tertentu dan hasil ini menegaskan bahwa model memiliki kemampuan klasifikasi yang baik dan berpotensi digunakan sebagai sistem pendukung keputusan dalam menentukan penerima bantuan pendidikan secara lebih objektif dan tepat sasaran.

Expert system diagnoses skin diseases using web-based Forward Chaining method Ignasia Wanty Taena; Yoseph pius kurniawan kelen; Dian Grace Ludji
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

Sistem pendukung keputusan pemilihan tanaman pangan berbasis web dengan Fuzzy Weighted Product Aldegunda Naisali; Yoseph Pius Kurniawan Kelen; Risald Syarifuddin; Dian Grace Ludji
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.v14i1.29958

The selection of food crops in North Central Timor Regency is based on individual experience and unstructured and unsystematic information. This process is subjective, depending on the experience or habits of farmers without the support of objective data analysis. This makes decision-making in determining the type of food crop less precise, and can hinder agricultural productivity. This study aims to build a web-based decision support system (DSS) that helps select the most appropriate food crops based on various criteria and alternatives. The system is developed using the Fuzzy Multi Attribute Decision Making (FMADM) and Weighted Product (WP) methods that handle uncertainty in evaluation and weighting. Fuzzy is used to accommodate linguistic qualitative data such as “sufficient”, “good”, or “very good”, reflecting real conditions in the field. Meanwhile, the Weighted Product method calculates the final score of each crop alternative based on the attribute value and weight of each criterion. The criteria in this system include planting area, harvested area, productivity, production, soil type, and market demand. This study aims to develop a web-based decision support system that provides recommendations for selecting the best food crops. This system is designed with an easy-to-use interface, and can be accessed online by farmers, extension workers, and policy makers. In this system, a fuzzy and weighted product approach is used to manage uncertainty in the assessment and produce objective crop rankings. The implementation results show that lowland rice plants get the highest score, which is 0.232977225 compared to other alternatives. This value indicates the highest level of feasibility of all the alternative crops analyzed, so lowland rice is the most recommended choice. This system is able to provide fast, data-based recommendations.Keywords: Fuzzy, Decision Support System, Food Crops, Weighted product, Web

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