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All Journal JURNAL SISTEM INFORMASI BISNIS IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Law, Poliitic and Humanities Malcom: Indonesian Journal of Machine Learning and Computer Science Science, Technology, and Communication Journal Scientific Journal of Informatics INOVTEK Polbeng - Seri Informatika
Okfalisa Okfalisa
Department of Information Technique, FST, UIN SUSKA
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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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.
Performance comparison of the Naive Bayes algorithm and the k-NN lexicon approach on Twitter media sentiment analysis Azhar, Azhar; Masruroh, Siti Ummi; Wardhani, Luh Kesuma; Okfalisa, Okfalisa
Science, Technology and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.229

Abstract

Sentiment analysis or opinion mining is a natural language that processes words to find out opinions, attitudes, or moods about certain things. Word processing in this study related to the process of classification in textual documents, which was classified into three classes, positive, negative, and neutral. Data obtained from social media Twitter were related to netizens' comments as many as 1000 comments. These data were crawled using keywords of the “Pilpres2019” and “Jokowi”. This study compared the performance of the Naive Bayes and k-Nearest Neighbor (k-NN) algorithms with the lexicon approach in classification. The aim of this study was to compare the level of accuracy, precision, and recall of Naive Bayes and the k-NN algorithm with the lexicon approach. From the evaluation, we concluded that the combination of the k-NN algorithm and the lexicon approach could improve accuracy in this sentiment analysis case. Generally, the k-NN algorithm with lexicon approach in which the k value is k = 5 has better performance with a 77% of accuracy level, followed by Naive Bayes with an accuracy of 81% of accuracy level.
Chatbot AI Riau tourism towards society 5.0 success Ningrum, Melia Vivi; Ahmad, Sayyidina Anshari; Belantara, M Abyan; Al-Sa’ban, M Dafa; Santana, Qistan Alif; Alfitri, Rahmat; Okfalisa, Okfalisa
Science, Technology, and Communication Journal Vol. 5 No. 1 (2024): SINTECHCOM Journal (October 2024)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v5i1.283

Abstract

Riau Province stands out as one of the most rapidly developing regions in Indonesia, showcasing significant advancements economy, population, and tourism. The strategic positioning of Riau Province along the world's busiest routes, establishes this province as a focal point for diverse activities from multiple nations. Furthermore, the natural resources of Riau Province provide it as a significant business hub by substantial activities. This undoubtedly impacts the cross section both business and tourist visitors from local and international. Unfortunately, it is found that information pertaining to Riau tourism is under-addressed the visitors’ need. Therefore, the chatbot artificial intelligent (AI) is developed to deliver comprehensive information about tourism in Riau, encompassing tourist attractions, culinary, and merchandise destinations. This chatbot is adopted a prototyping approach for software development with natural language processing, employing tools such as Xampp, Visual Studio Code, PHP for programming language, and the Botman for the library. This chatbot is then integrated with a customized website platform utilizing an accessible API. The questions are derived from commonly asked questions on the tourism platform, limited into five tourist attractions, culinary options, or merchandise’s spot. To evaluate, a black-box and user acceptance testing techniques will be employed to verify that the application operates as intended and receives favorable feedback from users. This chatbot grows into the smart and responsive tool tailored to tourism needs in Riau. This tool supports the Society 5.0 that concerns on human centric, technology, and resilience social and community while preserving the cultural elements of Riau’s Malay heritage.
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): Juli
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.
UI/UX design thinking adoption for integrated AI point-of-sale system (Case study: Plastic Poultry Wholesale Store) Okfalisa, Okfalisa; Fahruddin, Fahruddin; Setiaji, Haris; Pratama, M Farhan Aulia; Finaldhi, Harry; Delifah, Nur
Science, Technology, and Communication Journal Vol. 5 No. 3 (2025): SINTECHCOM Journal (June 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v5i3.311

Abstract

The development of artificial intelligence (AI) technology drives the need for a point of sales (POS) system that is not only efficient, but can also provide adaptive information according to the user's sudden wishes. This research implements the design thinking method in designing a user interface (UI/UX) for a smart POS system integrated with conversational AI features. A case study was conducted at a Plastic Poultry Wholesale Store to gain in-depth insights related to field needs and operational challenges faced. The design thinking method was chosen because of its user-centered approach, through the stages of empathize, define, ideate, prototype, and testing, it is hoped that the final results obtained can be aligned with the concrete needs of users, so that the output of the system that has been designed will not be abandoned, but will always be used. In this design, the implementation of conversational AI is used to enhance the user experience through a virtual assistant feature that is able to answer dynamic questions according to the wishes of the user, so that users can freely explore any information in detail related to their overall business performance. The implementation results show that this system not only increases operational efficiency, but also improves user experience through more intuitive interactions when they want to see their business performance. This research contributes to integrating AI technology with a user-centered design approach for smart, responsive, and adaptive POS system solutions.
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.
Co-Authors Ahmad, Sayyidina Anshari Al-Sa’ban, M Dafa Alfitri, Rahmat Aslati Aslati Azhar Azhar Belantara, M Abyan Delifah, Nur Erlina, Marni Fahruddin Fahruddin Finaldhi, Harry Fitri Insani Haerani, Elin Haerani Iswavigra, Dwi Utari kurnia, fitra Luh Kesuma Wardhani Maulana, Muhammad Rizky Najwa, Nina Fadilah Nazruddin Safaat H Ningrum, Melia Vivi Novi Yanti Pranggono, B. Pratama, M Farhan Aulia Rahmad Abdillah Robert Libra Ruri Hartika Zain Rusnedy, Hidayati Saktioto Saktioto Santana, Qistan Alif Setiaji, Haris Setiawan, Adil Simaremare, Harris Simaremare Siti Ummi Masruroh Vernando, Julio Yusra, Yusra