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All Journal JURNAL SISTEM INFORMASI BISNIS IT JOURNAL RESEARCH AND DEVELOPMENT Pena Justisia: Media Komunikasi dan Kajian Hukum TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Journal of Law, Poliitic and Humanities Malcom: Indonesian Journal of Machine Learning and Computer Science Scientific Journal of Informatics INOVTEK Polbeng - Seri Informatika
Okfalisa Okfalisa
Department of Information Technique, FST, UIN SUSKA
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Result Based Manajemen Sistem untuk Monitoring dan Evaluasi Kegiatan Bimbingan Dasar Keislaman Okfalisa, Okfalisa; Simaremare, Harris; Abdillah, Rahmad; Najwa, Nina Fadilah
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.452 KB) | DOI: 10.21456/vol9iss1pp77-85

Abstract

The Islamic values in the integrated curriculum should be reflected in governance, teaching lifestyle, and society dedication. The Islamic basic mentoring activity was the routine activity in UIN SUSKA Riau. That activity had been going on since 2010 and had unoptimization through stakeholder dissatisfaction with performance output. This research has developed a model by Result based for monitoring and evaluating the activity implementation. The results of the modeling mechanism were implemented in the construction of a Result Based Management Information System prototype. This research conducted by 7 constructs with 32 indicators that had been statistically tested by Confirmatory Factor Analysis to know the significance and the relation between indicators and constructs. This model was tested descriptive statistic to measure the activity implementation performance in accordance with the expected output. The results of performance activity at the Faculty of Science Technology were at the middle level. The construction of a prototype using Object Oriented Analysis had been successfully carried out with very good results in testing the UAT and Black Box. The system had 6 actors based on the stakeholder requirements and the system was successfully monitoring and evaluating problem and activity as long as the implementation. Performance information in graphically was to help the leader and top management for making decision and policy fixing. The discussion forum was developed as sharing information platform between the leader, the manager and the lecturer, the fellow lecturer, the lecturer and the participants. Thus, the transformation and transparency in implementation activity were formed.
The Study Program Selection System: Integrated Analytical Hierarchy Process (AHP) and Technique For Others Preference by Similarity to Ideal Solution (TOPSIS) Approach Erlina, Marni; Okfalisa, Okfalisa
IT Journal Research and Development Vol. 8 No. 1 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.13562

Abstract

The study program selection in several high schools or madrasah aliyah (MA) in Riau province is conducted manually. The initial survey found that the study program is commonly chosen by following the friend’s preference and parents’ option instead of their knowledge capability and desire. As a reflection, many students fail to adhere to the school subjects, obtain unsatisfactory results, and even change their study program. Therefore, this paper aims to assist students in altering the appropriate study program by considering students' capabilities, talents and interests by developing a multi-criteria decision support system (DSS). This DSS employs the integrated AHP approach for criteria weighting and TOPSIS for ranking alternatives. Herein, seventy students' data from grade ten MAN 2 Kuantan Singingi grows into this case study. The automation system analysis is executed through the web base DSS system using PHP programming language and MySQL database. As a result, AHP calculates the significance values of the criterion whereby the student interest score values at 0.34, academic report, potential academic test, physiological test, Pre-Test/Post-Test, interview scores, and teacher recommendation scores at 0.21, 0.14, 0.11, 0.09, 0.06, and 0.05, respectively. Subsequently, TOPSIS ranks the students according to the assessment and criteria weighting based on the standard requirement of study program in Mathematics and Science program (MIPA) and Social Science program (IIS). The DSS study program selection application has been tested using the Blackbox and User Acceptance Test (UAT) methods. Both of these approaches indicate that this application is functionally approved and capable of aiding the users in the optimal study program selection, with 81.9% agreement. In a nutshell, this DSS has successfully recommended the optimum study program per the students’ talents, interests, and capabilities and provided the direction development of students’ expertise area for the next level of education.
The Position of Deoxyribo Acid Nucleid Results as Digitization Evidence in Realizing Child Rights Reform in Indonesia Robert Libra; Okfalisa, Okfalisa; Aslati, Aslati
Journal of Law, Politic and Humanities Vol. 4 No. 5 (2024): (JLPH) Journal of Law, Politic and Humanities (July-August 2024)
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v4i5.523

Abstract

Technological progress continues along with changing times. The application of technology has penetrated various aspects of daily life, making it more practical. Often, problems arise when the father does not recognize his child, which results in the child losing his rights, including the right to receive love from his own father. To overcome this, MK Decision no. 46/PUU-VIII/2010 concerning Review of Article 43 paragraph (1) of Law no. 1 of 1974 concerning Marriage changed the paradigm of evidence by allowing the use of DNA testing technology to determine the lineage of children outside of marriage. The formulation of the problem raised in this research is 1) how is the role of digitalization in realizing children's rights, studying the decision of the Supreme Court of the Republic of Indonesia; and 2) how to reform children's rights in Indonesia in the era of digitalization 4.0. The research method uses normative juridical with a statutory regulatory approach and conceptual approach. The research results show that several existing decisions often refer to digital evidence in the form of DNA (Deoxyribo Nucleid Acid) and decisions that mostly use this evidence will protect children's rights and end up maximizing the protection of children's rights when the parents deny the status of their child in front of the judge. Then the process of proving children's rights using digitized evidence can be carried out by adopting this evidence in Law no. 7 of 1989 concerning Religious Courts to create legal certainty for families, especially for children themselves.
Application of ARIMA and ARIMAX Methods to Predict the Number of Visitors to Hotel XYZ Pekanbaru Vernando, Julio; Insani, Fitri; Okfalisa, Okfalisa; Kurnia, Fitra
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/enrfna19

Abstract

Predicting the number of visitors to Hotel XYZ is one of the steps that can be taken by the hotel to find out how many visitors will increase in each upcoming holiday season. The purpose of this study is to forecast the number of visitors to Hotel XYZ from June 2023 to July 2024 using the ARIMA and ARIMAX comparison methods. The research methodology encompasses problem identification, data collection, data processing, and ARIMA and ARIMAX analysis, which involves testing the parameters (p, d, q) selected based on the ACF and PACF using the AIC Model. Based on the test results, ARIMAX (5, 0, 3) has the lowest AIC, which is 3495.2, followed by ARIMAX (3, 0, 5), which has a slightly higher AIC. The results showed that the ARIMAX (5, 0, 3) model is the most accurate model for predicting data (eg the number of hotel guests, room demand, or income), with an RMSE value of 15.80% and a MAPE of 18.90%. Therefore, research that applies the ARIMAX model can provide real benefits in supporting operational efficiency, resource management, and hotel business strategy, ultimately increasing the competitiveness and profitability of the hotel.
Implementasi Chatbot Tafsir Al-Qur'an Menggunakan Chainlit dengan Pendekatan Groq: Implementing a Qur'anic Tafsir Chatbot Through Chainlit with a Groq-Based Approach Maulana, Muhammad Rizky; Harahap, Nazruddin Safaat; Okfalisa, Okfalisa; Yusra, Yusra
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.2082

Abstract

Pemahaman terhadap tafsir Al-Qur’an sering kali menjadi tantangan dalam dunia pendidikan, khususnya bagi siswa, mahasiswa, atau masyarakat umum yang tidak memiliki latar belakang ilmu tafsir maupun kemampuan bahasa Arab. Keterbatasan akses terhadap tafsir yang mudah dipahami, serta ketiadaan media pembelajaran yang interaktif dan mampu menjawab pertanyaan secara kontekstual, menjadi hambatan dalam proses pembelajaran keislaman. Penelitian ini bertujuan untuk mengembangkan chatbot berbasis kecerdasan buatan (AI) sebagai media pendukung pembelajaran tafsir Al-Qur’an yang responsif dan adaptif. Sistem dirancang menggunakan framework Chainlit sebagai antarmuka web, didukung oleh Groq untuk mempercepat proses inferensi, serta integrasi LangChain dan Large Language Models (LLM) untuk memahami isi tafsir, khususnya Tafsir Jalalain dalam format PDF berbahasa Indonesia. Dokumen yang digunakan berupa satu file digital utuh yang representatif. Proses sistem meliputi ekstraksi teks, pembagian teks (chunking), pembentukan embedding, dan pencarian semantik berbasis vektor. Evaluasi menggunakan BERTScore menghasilkan nilai rata-rata precision sebesar 71,84%, recall 78,11%, dan F1-score 74,80%, menunjukkan kemampuan sistem dalam memberikan jawaban yang baik secara semantik. Hasil penelitian ini berkontribusi dalam menyediakan media pembelajaran tafsir digital berbasis AI yang efisien dan kontekstual, serta menjadi solusi potensial untuk mendukung proses pendidikan Islam yang lebih interaktif dan modern.
Comparative Analysis: Accuracy of Certainty Factor and Dempster Shafer Methods in Expert Systems for Tropical Disease Diagnosis Yanti, Novi; Insani, Fitri; Okfalisa, Okfalisa; Zain, Ruri Hartika; Setiawan, Adil
Scientific Journal of Informatics Vol. 12 No. 3: August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i3.28047

Abstract

Purpose: This study aims to diagnose Neglected Tropical Diseases early by applying the concept of an expert system as a tool that works by mimicking the thought patterns of an expert (doctor). The methods applied in this expert system are Certainty Factor and Dempster Shafer. Both methods work by combining a number of pieces of evidence (symptoms) to produce a confidence value for a disease. Methods: The study began with discussions and interviews with experts to collect information and data about Neglected Tropical Diseases. Conducting a literature review study to enrich knowledge about Neglected Tropical Diseases. Two main inference methods are used to detect diseases based on patient symptoms. The Certainty Factor method uses expert value weighting parameters and patient input value weighting as a basis for knowledge. The Dempster Shafer method only uses expert value weighting in analyzing the probability of symptoms to produce a level of diagnostic accuracy. Result: The Certainty Factor method works by integrating patient and expert weight values into its calculations. Meanwhile, the Dempster Shafer method considers expert weight values without involving patient weight values. Expert system searches using the Forward Chaining inference engine show that the Certainty Factor method has an accuracy probability value of up to 90%. Meanwhile, the Dempster Shafer method has an accuracy value of 70%. Novelty: The results of the study show that expert systems can be applied in the health sector, especially in diagnosing Neglected Tropical Diseases. Of the two methods used, the Certainty Factor method shows a high accuracy value, so it can help detect Neglected Tropical Diseases early and provide treatment solutions to improve health.
EXPERT SYSTEM TO DETECT ONLINE GAME ADDICTION FOR UNIVERSITY STUDENTS USING THE BACKWARD CHAINING AND CERTAINTY FACTOR APPROACHES Muslimin, Al’hadiid; Okfalisa, Okfalisa; Pizaini, Pizaini; Syafria, Fadhilah; Che Hussin, Ab Razak
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1308

Abstract

Online gaming addiction harms students' physical health, mental well-being and academic performance. The addiction to playing online games has three categories, namely high, moderate and low, which are rarely known by the general public. The significant of knowledge acquisition on the addiction symptom and preventive activities forces the emergence of new idea on expert system identification platform. Therefore, this research aims to develop an expert system using the Backward Chaining (BC) and Certainty Factor (CF) approaches to detect the initial addiction level of online games for university students. Herein, the BC is used to identify the levelling of online game addiction based on the symptoms experienced by the user. There are thirty-three symptoms (G01-G33) provided through the thorough literature reviews and interviews with psychiatrics. Meanwhile, the CF is applied to calculate the level of certainty in determining the possibility of addiction describing in six scale level interpretation. As a result, the application of these two methods has effectively succeeded and reached proper accuracy in identifying the level of addiction of students towards their behavior on playing online games. The comparison of CF testing values between the system calculation and expert judgement shows the sophisticated result. Thus, this research can be utilized by the medical and psychiatric authorities, parents, and students in assessing their symptoms of addiction as an early warning in facing the possible risks arising from online game addiction.
Application of ADASYN Technique in Classification of Stroke Disease using Backpropagation Neural Network zikrillah aulia, said rizki; okfalisa, okfalisa; haerani, elin; oktavia, lola
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/jdhv9s39

Abstract

The high prevalence of stroke in Indonesia and the challenge of imbalanced medical record data are major obstacles to the development of an accurate early detection system. This research aims to build a reliable stroke classification model by applying the ADASYN (Adaptive Synthetic Sampling) oversampling technique to address class imbalance before the data is processed using the Backpropagation Neural Network (BPNN) algorithm. The ADASYN technique is applied with the goal of reducing the bias that arises from the imbalanced data distribution between the majority and minority classes. Testing was conducted through various data splitting scenarios (70:30, 80:20, 90:10) and hyperparameter variations to find the optimal configuration. The best results were obtained with the 90:10 data split scheme, using an architecture of 29 neurons and a learning rate of 0.01, which successfully achieved peak performance with an accuracy of 90.46% and an F1-score of 91.03%. This study demonstrates that the combination of ADASYN and BPNN is a highly effective approach for producing a stroke prediction model that is not only accurate but also sensitive to the minority class, thus having great potential as an early detection support tool in the healthcare sector.
Klasifikasi Sentimen Masyarakat Terhadap Kaesang Pangarep pada Media Sosial Twitter/X Menggunakan MLP Classifier dengan Fitur FastText Tarmizi, Veci Cahyono; Agustian, Surya; Okfalisa, Okfalisa; Pizaini, Pizaini
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8815

Abstract

Social media has become a primary channel for the public to express their opinions and reactions toward various political developments in Indonesia. One of the prominent discussions revolves around Kaesang Pangarep’s appointment as the Chairman of the Indonesian Solidarity Party (PSI). This study aims to analyze and classify public sentiment regarding this issue by employing the Multi-Layer Perceptron (MLP) algorithm integrated with FastText-based text representation. The dataset was collected from Twitter using keywords such as “Kaesang PSI”, and was further expanded with additional data from general topics including Covid-19 and Open Topic, ensuring a balanced distribution across positive, neutral, and negative sentiment categories for a more comprehensive representation of public opinion. The model’s performance was evaluated through four metrics: accuracy, precision, recall, and F1 Score. The experimental results demonstrate that the MLP–FastText model achieved consecutive scores of 0. 5129 for F1 Score, 0. 6035 for accuracy, 0. 5319 for precision, and 0. 5996 for recall. These findings indicate that the combination of MLP and FastText effectively captures sentiment patterns within textual data, particularly in the context of unstructured and dynamic social media content, and performs well when enhanced with relevant external data augmentation strategies.
Regulatory Reconstruction of the Application of Digital Evidence in Realizing Children's Rights (Study of the Directory of Decisions of the Supreme Court of the Republic of Indonesia) Libra, Robert; Okfalisa, Okfalisa; Aslati, Aslati
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 23 No. 2 (2024): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v23i3.5170

Abstract

The development of technology continues and develops in accordance with the times. The use of technology is also carried out to the context of daily life so that life becomes more practical. Then, this context is also very close to the use of technology in the judicial process through the e-court system. This is what makes Constitutional Court Decision Number 46/PUU-VIII/2010 concerning the Examination of Article 43 paragraph (1) of Law Number 1 Year 1974 concerning Marriage appear and change the paradigm of proof from the determination of children outside marriage can be done by using technology in the form of DNA tests. In this case, electronic evidence or digital evidence can be strong evidence to recognize the father's nasab position over the child. The research method used in this research is Normative Juridical with a statutory approach and a case approach. The results and discussion of this study found that it turns out that the application of digital evidence can realize children's rights when looking at several existing decisions. Of the 10 (ten) decisions and/or court decisions that have been reviewed, all of them use digitized evidence and make the judge's view more objective, resulting in a decision that recognizes the father's lineage to the child. The context of this recognition is the essence that the concept of child recognition makes his rights fulfilled and the father cannot deny that the child is his own child. In addition, DNA evidence, CCTV and photos and videos exist to strengthen the position of the father's lineage to a child whose father previously did not recognize his own child. Regulatory reconstruction in the application of digital evidence to realize children's rights is carried out by changing the provisions of the Religious Courts Law and the Marriage Law in terms of strengthening the position of children's rights.
Co-Authors Aslati Aslati Che Hussin, Ab Razak Elin Haerani Erlina, Marni Fachry Abda El Rahman Fadhilah Syafria Fitri Insani Haerani, Elin Haerani Iswavigra, Dwi Utari kurnia, fitra Libra, Robert Maulana, Muhammad Rizky Muslimin, Al’hadiid Najwa, Nina Fadilah Nazruddin Safaat H Oktavia, Lola Pizaini Pizaini Pranggono, B. Rahmad Abdillah Robert Libra Ruri Hartika Zain Rusnedy, Hidayati Saktioto Saktioto Setiawan, Adil Simaremare, Harris Simaremare Surya Agustian Tarmizi, Veci Cahyono Vernando, Julio Yusra, Yusra zikrillah aulia, said rizki