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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Dinamik JURNAL BISNIS STRATEGI Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) ANDHARUPA Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Analisis Bisnis Ekonomi JURIKOM (Jurnal Riset Komputer) KOMPUTIKA - Jurnal Sistem Komputer EDUMATIC: Jurnal Pendidikan Informatika Abdimasku : Jurnal Pengabdian Masyarakat Indo-MathEdu Intellectuals Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Rekayasa elektrika SmartComp Jurnal Analisis Bisnis Ekonomi
Muljono Muljono
Department of Pediatrics, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Hakikat Manusia (Peserta Didik) Sebagai Makhluk Pedagogik Kartini, Kartini; Muljono, Muljono; Yuspiani, Yuspiani
Indo-MathEdu Intellectuals Journal Vol. 6 No. 2 (2025): Indo-MathEdu Intellectuals Journal (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i2.2592

Abstract

This research aims to find out the nature of human beings (students) as pedagogic beings. This article uses the literature study method to explore the concept of human beings (students) as pedagogical beings. The literature review process begins with the identification of relevant sources, including journal articles, books, conference papers, and peer-reviewed scientific articles that discuss the essence of humanity and its relationship with education. Data analysis techniques using critical analysis are used to evaluate various theoretical frameworks that discuss the relationship between humanity and education. The results of the analysis show that humans as pedagogic creatures are humans who have the potential to be educated and educated, and the nature of humans (learners) as pedagogic creatures, based on nature that has the basic potential of hearing, vision, and heart as instruments in the educational process. Humans are creatures that can be educated and educated (homo educandum). The educational process that makes human beings the subject and object of education. Students as pedagogical creatures will describe that they have various characteristics and potentials that need to be understood in the context of education. This understanding is essential to creating a learning environment that supports their psychic and spiritual development optimally
Hakikat Manusia (Peserta Didik) Sebagai Makhluk Pedagogik Kartini, Kartini; Muljono, Muljono; Yuspiani, Yuspiani
Indo-MathEdu Intellectuals Journal Vol. 6 No. 2 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i2.2592

Abstract

This research aims to find out the nature of human beings (students) as pedagogic beings. This article uses the literature study method to explore the concept of human beings (students) as pedagogical beings. The literature review process begins with the identification of relevant sources, including journal articles, books, conference papers, and peer-reviewed scientific articles that discuss the essence of humanity and its relationship with education. Data analysis techniques using critical analysis are used to evaluate various theoretical frameworks that discuss the relationship between humanity and education. The results of the analysis show that humans as pedagogic creatures are humans who have the potential to be educated and educated, and the nature of humans (learners) as pedagogic creatures, based on nature that has the basic potential of hearing, vision, and heart as instruments in the educational process. Humans are creatures that can be educated and educated (homo educandum). The educational process that makes human beings the subject and object of education. Students as pedagogical creatures will describe that they have various characteristics and potentials that need to be understood in the context of education. This understanding is essential to creating a learning environment that supports their psychic and spiritual development optimally
Peningkatan Kinerja K-Means dengan Normalisasi Min-Max dan PSO untuk Penentuan Pusat Awal Klaster Terbaik pada Data Pamsimas nikus, Domi; Muljono, Muljono; Himawan, Heribertus
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10221

Abstract

K- means termasuk kedalam algoritma partisi yang memiliki tujuan untuk membagi data kedalam jumlah klaster yang ditentukan, hasil dari algoritma K means tergantung pada pemilihan pusat klater awal namun permasalahan yang sering terjadi jika pada pemilihan centroid awal yang masih dilakukan secara acak jauh dari solusi maka kemungkinan hasil dari pengelompokan tersebut kurang tepat. Untuk mengatasi masalah tersebut akan menggunakan tahapan preprocessing berupa normalisasi minmax untuk mengatasi skala pengukuran berbeda pada dataset, setelah itu menggunakan algoritma PSO dalam pemilihan centroid awal untuk algoritma K- means, dalam penelitian ini juga dibandingkan pemilihan centroid dengan 3 cara yang pertama sesuai dengan acak, kedua sesuai standar pemerintah untuk nilai kualitas air minum yang tingi, menengah dan rendah kemudian yang ketiga dengan metode yang diusulkan algortima PSO dan kemudian akan diuji dengan Index Davies Bouldin. Hasil pengujian berupa tersebut metode K-means dengan pemilihan centroid awal acak dengan nilai 0,208856082, metode K-means dengan pemilihan centroid sesuai dengan standar pemerintah tentang kondisi SAM sebesar 0,280077, dan terakhir metode pemilihan yang terbaik adalah dengan menggunakan normalisasi minmax K-means PSO dengan nilai 0,177796. Sehingga pengujian data PAMSIMAS menggunakan normalisasi minmax k-means PSO yang didapat bahwa metode tersebut lebih optimal
Pelatihan Penggunaan Aplikasi Screen Reader JAWS Bagi Tunanetra Untuk Meningkatkan Kemampuan Dalam Pengelolaan Administrasi Paramita, Cinantya; Sudibyo, Usman; Muljono, Muljono; Supriyanto, Catur
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 2, No 2 (2019): Juli 2019
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.68 KB) | DOI: 10.33633/ja.v2i2.46

Abstract

Salah satu permasalahan yang dihadapi Perkumpulan Penyandang Disabilitas Indonesia (PPDI), Dewan Pengurus Cabang (DPC) Kota Semarang yakni terbatasnya media dan prasarana untuk mendukung kegiatan belajar mereka dalam mengoperasikan komputer serta tingkat perekonomian yang hanya cukup untuk memenuhi kebutuhan hidup, meraka pun belum sepenuhnya paham dalam perkembangan teknologi hingga sampai saat ini semua masih diolah dalam bentuk manual yakni melaporkan dengan lisan dan dengan cara mengingat. Untuk mengatasi permasalahan tersebut, pengabdian ini mengusulkan untuk mengadakan pelatihan penggunaan Job Access with Speech (JAWS) bagi para tuna netra. Pengabdian dilakukan dengan mengajarkan penggunaan dasar keyboard yang didukung oleh aplikasi JAWS dan pengetahuan dasar Microsoft Excel.
Enhancing challenge-based immersion in cultural game using appreciative fuzzy logic Muljono, Muljono; Haryanto, Hanny; Andono, Pulung Nurtantio; Nugroho, Raden Arief; Yakub, Fitri; Sukmono, Indriyo K.
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3702-3714

Abstract

Many traditional games in Indonesia are considered cultural heritage and are in serious decline; young generations no longer know about them. Serious games have been considered a potential educational tool for cultural heritage preservation. Lack of immersive experience due to over-focus on the learning content is a common problem in those games. Very little research also discusses cultural heritage serious game design frameworks. This study uses the appreciative fuzzy logic system (AFLS) to enhance the challenge-based immersive experience (CBIE) in the Joglosemar cultural heritage game. The AFLS provides autonomous challenges, such as enemy numbers and aggressive behavior, and the frequency of item appearances in the games using fuzzy logic with respect to the appreciative serious games (ASG) concepts. The ASG is the design guide for serious games that divides the game activities into 4-D: discovery, dream, design, and destiny. We use three ASG-based serious games to evaluate the CBIE produced by AFLS. The game experience questionnaire (GEQ) is used to measure the player experience, while the cross-validation is used to measure the AFLS performance. Results show that the AFLS enhances the CBIE. The study contributes mainly to provide reliable intelligent system for automated serious game design.
Comparative Analysis of Homogeneous and Heterogeneous Ensembles for Diabetes Classification Optimization Maulana, Muhammad Naufal; Muljono, Muljono; Meindiawan, Eka Putra Agus
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14439

Abstract

Diabetes mellitus is a chronic disease with an increasing prevalence worldwide, including in Indonesia, reaching 11.7% by 2023. Early prediction of this disease is essential for more effective management. This study aims to develop a diabetes mellitus prediction model using an ensemble learning approach, including homogeneous (boosting and bagging) and heterogeneous (stacking and blending) techniques. In this study, the boosting algorithm using AdaBoost with Random Forest as the base estimator showed the highest accuracy of 98%, with balanced precision and recall. The bagging technique, which also uses Random Forest as the base estimator, achieved 97% accuracy, although slightly lower than boosting. The stacking technique, which combines XGBoost, Gradient Boosting, and Random Forest as base learners, with Random Forest as the meta-model, yields similar accuracy of 98%, but with lower prediction error, demonstrating its ability to cope with more complex data. Blending, which uses a similar approach but with training on the entire dataset, gave 98% accuracy with shorter processing time and more efficient memory usage than stacking.
The Development of Javanese Glossary Website as a Form of Language Maintenance and Revitalization Muljono, Muljono; Zeniarja, Junta; Rokhman, Nur; Nugroho, Raden Arief; Suryaningtyas, Valentina Widya; Aryanto, Bayu
Jurnal Rekayasa Elektrika Vol 20, No 2 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i2.34638

Abstract

As a vital component of cultural identity, language is under pressure as a result of globalization. This article discusses the creation of a website that provides a dictionary of Javanese phrases to help preserve and revitalize the language. In this study, we collect, categorize, and display Javanese words on electronic resources. In addition, the system usability scale (SUS) was used to conduct usability tests on the investigated websites to determine how user-friendly they actually were. Gathering terms from multiple sources, categorizing them, and developing a user-friendly interface with a search bar are all steps in the process of making a website. Users from all walks of life fill out the SUS questionnaire as part of the usability testing process. The test results reveal how well the website satisfies its users' requirements. Creating a database of Javanese words online and putting it through the SUS test is a great example of how technology can be used to help preserve a language and its heritage. It is believed that by taking this step, more people will become familiar with the Javanese language and become invested in its continued existence in the modern world. The usability testing results demonstrate that the development strategy and interface design effectively fostered a positive user experience. High scores on the SUS questionnaire, with an average rating of 80.25, indicate that users find the website satisfactory and user-friendly.
Klasifikasi Berita Televisi Menggunakan Metode K-NN, Naïve Bayes dan SVM Wuryantoro, Tri; Muljono, Muljono; Pujiono, Pujiono
JURNAL RISET KOMPUTER (JURIKOM) Vol. 11 No. 6 (2024): Desember 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i6.8420

Abstract

News through television media is still one of the media that is widely used by the public in obtaining the latest information. The Central Java TVRI Public Broadcasting Institution has a news program called Berita Jawa Tengah which airs every day and  doesn’t have a classification system. This research was carried out in several stages, in the initial stage preprocessing was carried out which included: data collection, cleaning, case folding, tokenizing, normalization, stopword removal, stemming, then continued with word weighting (TF-IDF) and finally applying the K-Nearest Neighbor classification method (K-NN), Naïve Bayes and Support Vector Machine (SVM). The results of the classification carried out show that the K-NN classification method has higher results compared to other methods, namely an Accuracy value of 0.94, Precision 0.92, Recall 0.94 and f1-score 0.93, so it can be concluded that Television news classification using the K-NN method is the method that provides the most accurate results.
Indonesian News Text Summarization Using MBART Algorithm Astuti, Rahma Hayuning; Muljono, Muljono; Sutriawan, Sutriawan
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.v11i1.49224

Abstract

Purpose: Technology advancements have led to the production of a large amount of textual data. There are numerous locations where one can find textual information sources, including blogs, news portals, and websites. Kompas, BBC, Liputan 6, CNN, and other news portals are a few websites that offer news in Indonesian. The purpose of this study was to explore the effectiveness of using mBART in text summarization for Bahasa Indonesia.Methods: This study uses mBART, a transformer architecture, to perform fine-tuning to generate news article summaries in Bahasa Indonesia. Evaluation was conducted using the ROUGE method to assess the quality of the summaries produced.Results: Evaluation using the ROUGE metric showed better results, with ROUGE-1 of 35.94, ROUGE-2 of 16.43, and ROUGE-L of 29.91. However, the performance of the model is still not optimal compared to existing models in text summarization for another language.Novelty: The novelty of this research lies in the use of mBART for text summarization, specifically adapted for Bahasa Indonesia. In addition, the findings also contribute to understanding the challenges and opportunities of improving text summarization techniques in the Indonesian context.
INFLASI, TINGKAT SUKU BUNGA DAN NILAI TUKAR TERHADAP RETURN SAHAM Setyaningrum, Rani; Muljono, Muljono
Jurnal Analisis Bisnis Ekonomi Vol 14 No 2 (2016)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menggunakan data sekunder. Beberapa data yang digunakan dalam penelitian ini adalah data return saham, infl asi, tingkat suku bunga, dan nilai tukar periode 2013-2015. Data-data tersebut diperoleh dari publikasi-publikasi yang diterbitkan BEI dan Bank Indonesia. Teknik analisis yang dipakai dalam penelitian ini adalah regresi linear berganda untuk memperoleh gambaran yang menyeluruh mengenai hubungan antara variabel satu dengan yang lain. Uji hipotesis menggunakan Uji-t untuk menguji pengaruh variabel variabel secara parsial dan Uji F untuk menguji variabel secara bersama-sama terhadap return saham dengan tingkat signifi kansi 0,05. Selain itu dilakukan uji asumsi klasik meliputi uji multikolinearitas, uji autokorelasi, uji heteroskedastisitas dan uji normalitas. Berdasarkan hasil penelitian secara simultan tiga variabel yaitu infl asi, tingkat suku bunga, dan nilai tukar berpengaruh terhadap return saham secara signifi kan dengan nilai F sebesar 0,024. Berdasarkan hasil penelitian secara parsial variabel infl asi dan nilai tukar tidak berpengaruh terhadap return saham secara signifi kan dengan nilai masing-masing infl asi (0,121) dan nilai tukar (0,062). Sedangkan tingkat suku bunga berpengaruh terhadap return saham secara signifi kan dengan arah negatif sebesar (0,004).
Co-Authors Abu Salam Achmad Wahid Kurniawan Arisani, Muhammad Irfan Astuti, Rahma Hayuning Bayu Aryanto Budi Harjo Budi, Setyo Catur Supriyanto Fitri Yakub Hanny Haryanto Harun Al Azies Hendarwanto Hendarwanto Herdiman T. Pohan Heribertus Himawan Herowati, Wise Ignatius Moses Setiadi, De Rosal Ika Novita Dewi Junta Zeniarja Karmel L. Tambunan Kartini Kartini Kurniawan, Defri Mahazam Afrad Maulana, Muhammad Naufal Medantoro, Gabriella Fani Suciarti Meindiawan, Eka Putra Agus Moch Anjas Aprihartha Muhammad Naufal, Muhammad Muliadi, Nuraziz nikus, Domi Nugroho, Bagus Nur Rokhman Paramita, Cinantya Prasetyo Prasetyo Pujiono Pujiono Pulung Nurtantio Andono R. H.H. Nelwan Rachmad Abdullah Raden Arief Nugroho Robiatul Adawiyah Sari Ayu Wulandari Setyaningrum, Rani Setyaningrum, Rani Silalahi, Rosalia Natal Sudibyo, Usman Sukmono, Indriyo K. Supriadi Rustad Susanto, Al Birr Karim Sutriawan T. Sutojo Taufiq M. Waly Trisnapradika, Gustina Alfa Utomo, Danang Wahyu Valentina Widya Suryaningtyas, Valentina Widya Wildani Eko Nugroho, Wildani Eko Wuryantoro, Tri Yuspiani Zahrah, Febrina Nabila