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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 Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) 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 EBSJ 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 Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Analisis Bisnis Ekonomi
Muljono Muljono
Department of Pediatrics, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital
Arts Humanities Chemistry 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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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

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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).
ANALISIS PENGARUH FAKTOR-FAKTOR FUNDAMENTAL TERHADAP PRICE TO BOOK VALUE PADA INDUSTRI BARANG KUNSUMSI DI BEJ Muljono, Muljono; Prasetyo, Prasetyo
Jurnal Analisis Bisnis Ekonomi Vol 3 No 1 (2005)
Publisher : Universitas Muhammadiyah Magelang

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Abstract

Price to book value repesent one of variable which can be used for the decision making of in doing an invesment. Price to book value used to identify an sahre price by comparing with its book value. This research aim to test to return the research conducted by A.Y.B Santosa (1997) and also give the empirical evidence for factors influencing price to book value. This research is used to know the influence of factors fundamental that is : Dividend Payout Ratio, Financial Laverage, Earning Growth Rate, and Return On Equity to Price to Book Value. This Research also aim to know he most dominant variable its link by price is to book value. Data used in this research is secondary data that is in the form of data of time series-ross section consisted of by 10 companies deputizing taht is peripatetic company at industrial sector cunsumer goods. Method of data collecting use the method of purposing sampling. While technical analyze in this research use the technique analyze the doubled linear regresi to know the independent variable influence to variable of dependennya and technique analyze the correlation coefficient of parsial used to know the modt dominant independent variable dependennya. To test the hypothesis use the test F, the test t, and test the determinant which is entire/all its processing is conducted by using SPSS version 10.0 windows. Result of data analysis with the technique analyze the multiple linear regression indicate that by simultan is price to book value influenced by its his independent variable that is: Dividend Payout Ratio, Financial Laverage, Earning Growth Rate, and Return On Equity. Assess the Adjusted R2 of equal to 0,242 showing change PBV influenced by together equal to 24,2% by variable DPR.
DETERMINAN FLUKTUASI HARGA SAHAM SEKTOR KEUANGAN YANG TERDAFTAR DI BURSA EFEK INDONESIA Muljono, Muljono
Jurnal Analisis Bisnis Ekonomi Vol 6 No 1 (2008)
Publisher : Universitas Muhammadiyah Magelang

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Abstract

This research is aimed at analyzing influence of several factor on stock price fluctuation of financial sectors on 2004 up to 2005 in BEJ. The research result show that from the six factors assumed to influence on stock price fluctuations of financial sectors under investigation, there are Price Earning Ratio (PER), Earning Per Share (EPS), Book Value (BV), Return on Invesment (ROI), Return on Equity (ROE) and interest rate. The sample was taken by using purposive sampling polling data method. The population cover 130 companie, while the taken sample consist of 42 companies, the research period of 2 years (2004 up to 2005). The data were analyzed by double regression model. It empirically is found taht Earning Per Share (EPS) significant influences on stock price fluctuations. Based on the research result it is also dicovered that Price Earnning Ratio (PER), Earning Per Share (EPS), Book Value (BV), Return on Invesment (ROI), Return on Equity (ROE) and interest rate have weak influencce in explaining stock price fluctuation variation at the Indonesian capital market, in which Adjusted R2 is only 37.7 which the means taht stock price fluctuations is mostly determined by market psycology, that is not fundamental factors.
DETERMINAN RISIKO SISTEMATIS PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK JAKARTA TAHUN 2003-2005 Muljono, Muljono
Jurnal Analisis Bisnis Ekonomi Vol 5 No 2 (2007)
Publisher : Universitas Muhammadiyah Magelang

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Abstract

This research represent the event study with the approach of case study of at Indonesia Stock Exchange using historical data of year 2003-2005. Sample will be taken by purposive sampling and company in Indonesia Stock Exchange. Analysis used in this research is multiple regression. The research was aimed at evaluating empirically the effects of five independent variable that included dividend pay out Ratio, leverage, earning, variability, liquidity and asset size on sistematic risk. The contribution of independent variables on dependent ones is indicated by determination coefficient test (R2 test). t test and F test were applied to evaluate the hypothesis. In a simultan earning dividend pay out Ratio, leverage, earning, variability, liquidity and asset size having not significant influence to a sistematic risk (beta). The research is more influenced by the other variables exluded in the study.
Penerapan Arsitektur Deep Learning EfficientNetB0 Berbasis Citra Digital untuk Meningkatkan Kinerja Sistem Klasifikasi Sampah Organik, Anorganik, dan B3 Alya Salsabila, Anggita; Muljono, Muljono
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 6 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i6.9360

Abstract

Waste management in Indonesia remains a major challenge due to increasing waste volumes and the low efficiency of manual sorting processes at Landfills (TPA). This study aims to improve the performance of an automated waste classification system for three categories: organic, inorganic, and hazardous and toxic waste (B3) using deep learning-based computer vision technology. The proposed method is the EfficientNetB0 architecture with a transfer learning approach, whose performance is compared with four other pre-trained architectures (VGG-16, InceptionV3, MobileNetV2, and ResNet50). The dataset used consists of 7,003 valid images collected from public sources and manual acquisition after a data cleaning process. The dataset is divided into 70% as training data, 20% as validation data, and 10% as test data. Data augmentation and class balancing strategies are used to increase variation and overcome data imbalance between classes. Training is conducted in two stages: Feature Extraction and Fine-Tuning, with consistent hyperparameters for a fair comparison. Performance evaluation is performed using accuracy, precision, recall, and f1-score metrics. The test results show that EfficientNetB0 managed to achieve the best performance with an accuracy rate of 96.87%. Modern architectures like EfficientNetB0 have proven capable of extracting complex features with good computational efficiency, thereby holding the potential for use in AI-based automatic waste sorting systems to support more effective and sustainable waste management.
Co-Authors Abu Salam Achmad Wahid Kurniawan Ahmad Fanani Alya Salsabila, Anggita Arisani, Muhammad Irfan Astuti, Rahma Hayuning Bayu Aryanto Budi Harjo Budi, Setyo Catur Supriyanto Edi Noersasongko Fandi Yulian Pamuji Fitri Yakub Hanny Haryanto Hartono, Faezal Harun Al Azies Hendarwanto Hendarwanto Herdiman T. Pohan Heribertus Himawan Herowati, Wise Ignatius Moses Setiadi, De Rosal Ika Novita Dewi Junta Zeniarja Jutono Gondohanindijo, Jutono Karmel L. Tambunan Kartini Kartini Kurniawan, Defri Kusumo, Willyanto Kartiko Mahazam Afrad Maulana, Muhammad Naufal Meindiawan, Eka Putra Agus Misdram, Muhammad Moch Anjas Aprihartha Muhammad Naufal, Muhammad Muliadi, Nuraziz nikus, Domi Nugroho, Bagus Nur Rokhman Paramita, Cinantya Prasetyo Prasetyo Pujiono Pujiono Pulung Nurtantio Andono Purwanto Purwanto R. H.H. Nelwan Rachmad Abdullah Raden Arief Nugroho Sari Ayu Wulandari Setyaningrum, Rani Setyaningrum, Rani Silalahi, Rosalia Natal Sudibyo, Usman Sukmono, Indriyo K. Supriadi Rustad Susanto, Al Birr Karim Sutriawan Sutriawan T. Sutojo Taufiq M. Waly Trisnapradika, Gustina Alfa Utomo, Danang Wahyu Valentina Widya Suryaningtyas, Valentina Widya Wuryantoro, Tri Yuspiani, Yuspiani Zahrah, Febrina Nabila