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All Journal Jurnal Informatika Jurnal Infra Seminar Nasional Informatika (SEMNASIF) International Journal of Engineering, Science and Information Technology Jurnal Pengabdian Masyarakat Bangsa Bulletin of Social Informatics Theory and Application

Agustinus Noertjahyana

Program Studi Teknik Informatika Universitas Kristen Petra

Author-ID : 331305

Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation

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INTRODUCTION OF INTERNET OF THING TECHNOLOGY BASED ON PROTOTYPE Genadiarto, Anthony Sutera; Noertjahyana, Agustinus; Kabzar, Vladimir
Jurnal Informatika Vol 14, No 1 (2017): MAY 2017
Publisher : Institute of Research and Community Outreach - Petra Christian University

Internet of thing has been able to attract people compete to create various devices. Devices developed have various benefits, but the point is to make life easier. So many vendors create products related to the internet of things, so the user gets confused to determine which is good and appropriate for the needs. To simplify the user in choosing IoT product, this research will discuss about technology that is widely used in IoT, the advantages of each technology, in terms of security, operating system, microcontroller, IoT platform, tools and communication technology. This research makes prototype with one of existing technology. The results of this research provide knowledge, skills and experience in the field of IoT as well as information related to IoT technology, which is widely in the market. Furthermore, the prototype also has the expected functionalities, but it does not close the opportunity for further improvements. The results of this research provide knowledge, skills and experience in the field of IoT as well as information related to IoT technology, which is widely in the market. Furthermore, the prototype also has the expected functionalities, but it does not close the opportunity for further improvements.

STUDI ANALISA PELATIHAN JARINGAN SYARAF TIRUAN DENGAN DAN TANPA ALGORITMA GENETIKA Noertjahyana, Agustinus; Yulia, Yulia
Jurnal Informatika Vol 3, No 1 (2002): MAY 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

Neural network as an information processor system which has some similarities with human brain, is lately used to solve general problems. Neural network has several characteristics based on : architecture, learning algorithm, and activation function. Genetic algorithm is a method to get an optimum function using genetic operations which is done to each individual in a population that is often called as chromosome. This way, to get a more optimum function is by colliding neural network and genetic algorithm. That is by doing a bias conversion and the weight to the neural network into a kind of individual form of genetic algorithm and the other way arround. Thus, a conclusion can be drawn about neural network learning method with or without genetic algorithm. Abstract in Bahasa Indonesia : Neural network sebagai suatu sistem pengolah informasi yang mempunyai kemiripan dengan jaringan otak manusia, belakangan ini sering digunakan untuk menyelesaikan suatu permasalahan. Neural network memiliki beberapa karakteristik yang ditentukan oleh : arsitektur, algoritma pelatihan serta fungsi aktivasi. Algoritma genetika adalah suatu metode untuk mendapatkan suatu fungsi yang optimal dengan menggunakan operasi-operasi genetika yang dilakukan pada tiap-tiap individu yang terdapat dalam suatu populasi yang seringkali disebut sebagai kromosom. Dalam hal ini untuk mendapatkan kemungkinan suatu fungsi bisa lebih optimal adalah dengan menggabungkan antara neural network dengan algoritma genetika. Adapun caranya adalah dengan melakukan proses konversi bias dan bobot pada neural network ke dalam bentuk individu pada algoritma genetika dan demikian sebaliknya. Sehingga nantinya bisa didapatkan suatu kesimpulan antara metode pelatihan neural network dengan dan tanpa menggunakan algoritma genetika. Kata kunci: jaringan saraf tiruan, olgaritma genetika, kecerdasan buatan..

PERENCANAAN DAN PEMBUATAN PERANGKAT LUNAK UNTUK MEREDUKSI DESKRIPSI LINGUISTIK DALAM RULE FUZZY Noertjahyana, Agustinus
Jurnal Informatika Vol 2, No 2 (2001): NOVEMBER 2001
Publisher : Institute of Research and Community Outreach - Petra Christian University

In every application that uses fuzzy system, there is always some numerical data which come from the fuzzy system itself. Those data called the fuzzy rule are useful to determine the fuzzy term from each fuzzy variable. Generally, the numbers of fuzzy rule are almost unlimited. Since the fuzzy rule consists of the numerical data, it will be difficult to interpret the fuzzy rule. Hence, linguistic description is required to interpret the rule. Linguistic description can be defined as the process of changing from numerical data to alphabetical letters that enable the system maker to understand the rule. However, even though the rule has become the linguistic description, the numbers of rules are still huge. Consequently, the difficulty in interpreting the rule will still happen for the next fuzzy process. Eventually, certain method is demanded to turn the process become more simple. The process of producing this program is aimed to give the reader some ideas of how to turn the linguistic description on fuzzy rule to become more simple. Generally, the program will produce the process of interpreting the linguistic description and turn them by using two choices of algorithms afterward. The result of this program will be in the form of table that contains the linguistic description already been turned to be more simple. Abstract in Bahasa Indonesia : Pada setiap aplikasi yang menggunakan suatu sistem Fuzzy, selalu terdapat data-data numerik yang berasal dari sistem tersebut untuk menentukan fuzzy set dari masing-masing variabel fuzzy. Data-data numerik ini seringkali disebut sebagai rule fuzzy. Jumlah dari rule fuzzy ini biasanya sangat banyak. Karena rule-rule tersebut berupa data numerik maka sulit sekali untuk proses pembacaannya. Untuk itulah diperlukan deskripsi linguistik untuk masing-masing rule tersebut. Deskripsi linguistik yang dimaksud adalah proses perubahan dari data-data numerik menjadi deretan huruf alphabet yang dapat dengan mudah dimengerti oleh pembuat sistem. Walaupun sudah diterjemahkan menjadi deskripsi linguistik, tetaplah jumlahnya sangat banyak, sehingga hal ini akan menyebabkan kesulitan di dalam mengolah data-data yang banyak tersebut pada proses fuzzy selanjutnya. Untuk itulah diperlukan suatu cara untuk mereduksi deskripsi linguistik tersebut supaya menjadi lebih sederhana. Dengan demikian maka dapat mempermudah proses selanjutnya. Pembuatan program ini ditujukan untuk membantu dalam mereduksi deskripsi linguistik pada rule fuzzy, sehingga menjadi lebih sederhana. Program akan melakukan proses pembaacan deskripsi linguistik kemudian mereduksinya dengan menggunakan pilihan dua algoritma. Hasil dari program adalah berupa tabel yang berisi tentang deskripsi linguistik yang sudah direduksi. Kata kunci: sistem fuzzy, deskripsi linguistik.

STUDI ANALISIS RAPID APLICATION DEVELOPMENT SEBAGAI SALAH SATU ALTERNATIF METODE PENGEMBANGAN PERANGKAT LUNAK Noertjahyana, Agustinus
Jurnal Informatika Vol 3, No 2 (2002): NOVEMBER 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

Rapid Application Development is one of the alternatives of System Development Life Cycle which is lately used to cope with the "slowness" of the conventional method. The Strength of using this method is the speed, accuracy and relatively lower cost than the conventional method. Moreover, the user's needs can be fulfilled well by involving the user in the design process. As a result, the user's satisfaction will increase. However, there are several things that should be considered in using the Rapid Application Development such as the team's preparation, the system territory, user's needs, and system operation. Finally, as one of the alternatives of System Development Life Cycle, Rapid Application Development can be used as the fundamental to produce an information system which is able to fulfill the user's needs. Abstract in Bahasa Indonesia : Rapid Application Development (RAD) sebagai salah satu alternatif dari System Development Life Cycle belakangan ini seringkali digunakan untuk mengatasi keterlambatan yang terjadi apabila menggunakan metode konvensional. Adapun keunggulan yang bisa didapatkan dengan menggunakan metode ini adalah kecepatan, ketepatan, dan biaya yang relatif lebih rendah dibanding dengan metode konvensional. Di samping itu dengan melibatkan user pada proses desain menyebabkan kebutuhan user dapat terpenuhi dengan baik dan secara otomatis kepuasan user sebagai pengguna sistem semakin meningkat. Akan tetapi di dalam menggunakan metode Rapid Aplication Development perlu untuk memperhatikan hal-hal yang penting, terutama kesiapan tim, ruang lingkup sistem, kebutuhan user, dan kinerja sistem. Pada akhirnya, sebagai salah satu alternatif dari System Development Life Cycle, maka Rapid Aplication Development dapat dijadikan acuan untuk menghasilkan sistem informasi yang dapat memenuhi kebutuhan user. Kata kunci: Rapid Application Development (RAD), System Development life Cycle (SDLC).

PERANCANGAN DAN PEMBUATAN SISTEM INFORMASI PRODUKSI DAN PENENTUAN HARGA POKOK PRODUKSI PADA PERUSAHAAN VULKANISIR BAN DI SURABAYA Noertjahyana, Agustinus; Budhi, Gregorius Satia; Santoso, Hendy
Jurnal Informatika Vol 4, No 2 (2003): NOVEMBER 2003
Publisher : Institute of Research and Community Outreach - Petra Christian University

Many manufacturer company have problems in processing of production data if data processing is done without computerize system. The company that chosen for research have problems to create production reports and to calculate cost of goods manufactured. Until this day, production information system in many companies in Surabaya still uses manually processing. Many number of customers and transactions cause very difficult to do production control activity. Besides that, data processing also takes long times. Orientation of this research is to make software aplication wich helps the company to solve the problem. The result of the software's performance test is the software that helps production sector because of faster data processing and it can give information of production control. Abstract in Bahasa Indonesia : Dalam suatu perusahaan yang bergerak di bidang industri, banyak terjadi kesulitan bila pencatatan dan pengolahan data produksi tidak memakai sistem yang terkomputerisasi. Demikian halnya yang terjadi pada satu perusahaan vulkanisir ban yang berdomisili di Surabaya. Perusahaan ini mengalami kesulitan dalam membuat laporan-laporan produksi dan menghitung Harga Pokok Produksi (HPP). Selama ini sistem informasi produksi pada perusahaan masih menggunakan cara manual. Jumlah pelanggan dan proses transaksi yang banyak menyebabkan kesulitan dalam pengontrolan produksi. Selain itu pengolahan data juga membutuhkan waktu yang lama. Tujuan penelitian ini adalah membuat program untuk membantu perusahaan dalam memecahkan permasalahan. Berdasarkan pengujian dan analisa hasil, dapat dibuktikan program ini sangat membantu bagian produksi karena pengolahan data dapat dilakukan secara cepat dengan komputerisasi, serta menyajikan informasi yang dibutuhkan untuk melakukan kontrol produksi. Kata kunci: Sistem Informasi Produksi, Harga Pokok Produksi.

PENGENALAN BENTUK BANGUN GEOMETRIS DUA DIMENSI DENGAN MENGGUNAKAN METODE DESKRIPSI DAN PENCOCOKAN Yulia, Yulia; Noertjahyana, Agustinus
Jurnal Informatika Vol 3, No 1 (2002): MAY 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

Describe and match is a method in artificial intelligence, which used to recognize the existence of an object in a picture by matching the picture with a group of other picture as a reference. This research presents a system to recognize two-dimensional geometric structure through describe and match where the two-dimensional geometric structures which are used here are limited on circle, square, triangle, and line. Three problems, which we will discuss in this research, are Library Matching Problem, Describe and Transform Problem and Describe, Match and Transform Problem. Abstract in Bahasa Indonesia : Deskripsi dan pencocokan merupakan suatu metode dalam ilmu kecerdasan buatan, yang digunakan untuk mengenali keberadaan suatu objek dalam suatu gambar dengan mencocokkan gambar tersebut dengan sekumpulan gambar lain sebagai gambar acuan. Penelitian ini menyajikan suatu sistem yang dapat mengenali bentuk bangun geometris dua dimensi dengan cara deskripsi dan pencocokan (describe and match) dimana bangun geometris dua dimensi yang digunakan di sini dibatasi untuk bentuk lingkaran, segiempat, segitiga, dan garis. Tiga bentuk permasalahan yang akan dibahas dalam penelitian ini yaitu Library Matching Problem, Describe and Transform Problem serta Describe, Match and Transform Problem. Kata kunci: Deskripsi dan pencocokan, kecerdasan buatan, bangun geometris dua dimensi.

IMPLEMENTASI SISTEM PENGENALAN SUARA MENGGUNAKAN SAPI 5.1 DAN DELPHI 5 Noertjahyana, Agustinus; Adipranata, Rudy
Jurnal Informatika Vol 4, No 2 (2003): NOVEMBER 2003
Publisher : Institute of Research and Community Outreach - Petra Christian University

Nowadays, speech recognition in computer application is not new topic. Speech recognition research is still in active area with purpose to get fast and accurate result. One of the famous speech recognition research is done by Microsoft Corporation which developed for Windows platform. Also Microsoft develop standard for speech recognition engine, namely SAPI (Speech Application Programming Interface) which now get into version 5.1. Using SAPI, programmer can implement speech recognition using any kind of speech recognition engine and also can change the engine without consider for changing the program code. In this paper, we implement speech recognition system using SAPI 5.1, Microsoft Speech Engine and Delphi 5 as programming language to create text application for English dictation. Abstract in Bahasa Indonesia : Sekarang ini pengenalan pembicaraan pada aplikasi komputer bukan merupakan hal yang baru. Banyak penelitian yang telah dan sedang dilakukan untuk mendapatkan pengenalan pembicaraan yang cepat dan akurat. Salah satu yang terkenal adalah penelitian yang dilakukan oleh Microsoft Corporation yang dikembangkan untuk sistem operasi Windows. Selain mengembangkan engine pengenalan pembicaraan, Microsoft juga mengembangkan standard untuk pengenalan pembicaraan yaitu SAPI (Speech Application Programming Interface) yang sekarang sudah mencapai versi 5.1. Dengan adanya SAPI memungkinkan pembuat aplikasi untuk mengimplementasikan sistem pengenalan pembicaraan dengan menggunakan engine sesuai yang diinginkan dan dapat mengganti penggunaan dari satu engine ke engine yang lain tanpa merubah aplikasi yang telah dibuat. Penelitian ini mengimplementasikan sistem pengenalan pembicaraan dengan menggunakan SAPI 5.1, Microsoft Speech Engine dan bahasa pemrograman Delphi 5 yang digunakan untuk melakukan diktasi berbahasa Inggris pada aplikasi berbasis teks. Kata kunci: Pengenalan suara, SAPI.

Analyzing the Indonesian sentiment to rohingya refugees using IndoBERT model Arifin, M Zainal; Maulana, Sandy Yunan; Noertjahyana, Agustinus; Mohamed Asghaiyer, Asghaiyer
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.749

This study aims to analyze public sentiments towards Rohingya refugees in Indonesia using the IndoBERT model. We collected sentiment data from social media platforms and news articles, followed by preprocessing techniques including tokenization, cleaning, case folding, stemming, and filtering. Sentiment labels were assigned using the InSet lexicon, and the IndoBERT model was trained with these labeled data. Our findings reveal that the predominant sentiment is negative, with 65% of the sentiments classified as negative, 20% as neutral, and 15% as positive. The model demonstrated robust performance with an accuracy of 87%, precision of 85%, recall of 83%, and an F1 score of 84%. This research addresses a gap in sentiment analysis studies related to refugee issues and provides valuable insights into public perceptions, which could inform policies and interventions aimed at improving refugee integration and support systems in Indonesia.

Advancing the Measurement of MOOCs Software Quality: Validation of Assessment Tools Using the I-CVI Expert Framework Praseptiawan, Mugi; Che Pee, Ahmad Naim; Zakaria, Mohd Hafiz; Noertjahyana, Agustinus
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.911

The growing use of MOOCs in the post-pandemic era, particularly in developing countries, requires the availability of valid assessment tools to ensure software quality that meets users' needs. However, several tools are still being used without a proper content validation process, which risks producing biased and unrepresentative data. This study aims to evaluate the validity of the content of an assessment instrument designed to measure the dimension of software quality on the Massive Open Online Courses (MOOC) platform, particularly in the context of the increased adoption of online learning post-pandemic in developing countries. The instrument comprises 27 statement items representing ten quality software factors: functionality, usability, reliability, performance, security, maintainability, portability, compatibility, support, and integration. The validation was carried out by involving seven experts in information systems and digital learning. The method used is an item-level content validity index (I-CVI) based on a descriptive quantitative approach, with each item being assessed using a 5-point Likert scale. An item is declared valid if it obtains an I-CVI score of ? 0.79. The analysis showed that 21 items were valid; three needed to be revised at the I-CVI value between 0.70–0.78, and 3 invalid items at the I-CVI value 0.70. The functionality, usability, support, and integration quality factors had the highest levels of validity, while the safety and support dimensions showed a higher degree of divergence in the expert assessment. These findings highlight the need for content validation to ensure MOOC indicators are accurate and relevant. The study showed the need for advanced validation tests involving real users and other validation methods, such as Aiken V or the fuzzy analysis hierarchy process (FAHP) to enhance the reliability and practical relevance of the tools developed.

Peningkatan Literasi Digital Siswa SMA Melalui Pelatihan Pemrograman dalam Kegiatan Python Wave: Create, Code, Innovate Noertjahyana, Agustinus; Palit, Henry N; Regina, Gladys O
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 6 (2025): Agustus
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i6.2803

Program pengabdian masyarakat “Python Wave: Create, Code, Innovate” dirancang dengan tujuan utama untuk memperkenalkan dasar-dasar pemrograman Python kepada siswa-siswi SMA, sejalan dengan tren Python sebagai bahasa yang populer dan fleksibel. Metode yang diterapkan adalah pelatihan intensif selama tiga hari yang didahului oleh sebuah technical meeting, dengan fasilitator dari kalangan mahasiswa Program Studi Informatika, Sistem Informasi Bisnis, dan Data Science and Analytics Universitas Kristen Petra. Proses pembelajaran menggunakan pendekatan interaktif, didukung oleh pre-test dan post-test untuk mengukur peningkatan pemahaman peserta. Hasil dari kegiatan ini menunjukkan respons yang sangat positif dari para siswa, terbukti dari peningkatan nilai rata-rata post-test menjadi 75,08 dan antusiasme mereka dalam mempelajari konsep pemrograman secara praktis. Meskipun dihadapkan pada kendala sulitnya menjaring peserta pada tahap awal , program ini berhasil memberikan dampak positif baik bagi siswa SMA dalam meningkatkan minat di bidang teknologi maupun bagi mahasiswa yang mendapatkan pengalaman mengajar yang berharga.

Co-Authors A.A. Ketut Agung Cahyawan W Agus Setiawan Suhariono Agustinus Darmawan Andilolo Albert Halim, Albert Alexander Setiawan Alvin Assianto Leiman Andreanus Agung Andreas Handojo Andrey Hariyanto Anita Nathania Purbowo Che Pee, Ahmad Naim Daniel Satriautama, Daniel Daniel Wilhenson Kuntani, Daniel Wilhenson David Harjowinoto, David Della Nova Ongkodjojo Denissa Alfiany Luhulima Devi Christiani Angir, Devi Christiani Endhy, Kezia Tiatira Fanny Febriani Santoso, Fanny Febriani Fujianto - Genadiarto, Anthony Sutera Go David Gunawan Gregorius Satia Budhi Handojo, Steven Halim Hartanto Rusli Heinrich Wiradinata Hendy Santoso Henry Novianus Palit Ibnu Gunawan Justinus Andjarwirawan Kabzar, Vladimir Kartika Gunadi Kevin Darmawan Limantoro Leo Willyanto Santoso M Zainal Arifin, M Zainal Machael Cahyadi, Machael Maulana, Sandy Yunan Michael Christian Wibisono Mohamed Asghaiyer, Asghaiyer Natanael, Theodorus Nico Hartono, Nico Ocky Mahendra Alim, Ocky Mahendra Osbert Tjitro Sampurna Palit, Henry N Paul Agustinus Praseptiawan, Mugi Raymond Adrian Hardha, Raymond Adrian Regina, Gladys O Renardi Dewanto Cahyadi, Renardi Dewanto Richard Pangalila, Richard Rosaline Debora Kusuma Rudy Adipranata Sandy Sulistio Shandy Widjaya, Shandy Silvia Rostianingsih Stien Tjiangdiono, Stien Surjo, Gregorius Maria Vianny Novita, Vianny Vincentius Aditya Nugraha Widya Ongels, Widya William Andi Pattera Yulia Yulia Zakaria, Mohd Hafiz

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