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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Sains dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) JURNAL PengaMAS Jurnal Informatika dan Rekayasa Perangkat Lunak Bubungan Tinggi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat Madani Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Literasi Digital Indonesia Indonesian Journal of Community Services Cel Journal of Digital Literacy and Volunteering Prosiding Seminar Nasional Unimus Jurnal Medika: Medika Jurnal Pustaka Robot Sister Journal of Digital Literacy and Volunteering
Najirah Umar
Universitas Handayani Makassar, Makassar, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Decision Support System for Porang Land Selection based on Multi Attribute Utility Theory (MAUT) Umar, Najirah; Idris, Muhammad; Rahmat, Agus
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.4297

Abstract

This study aims to develop a web-based decision support system using the Multi-Attribute Utility Theory (MAUT) algorithm to assess land suitability for porang cultivation. The system is designed to assist farmers and land developers in selecting optimal planting sites. The research methodology includes problem identification, primary data collection through field surveys, determination of criteria and weights based on land characteristics, and the implementation of the MAUT algorithm to generate land recommendations. The five main criteria considered are soil texture, altitude, temperature, soil pH, and shading level. The results indicate that the three tested land alternatives achieved suitability levels of 86.67%, 75.57%, and 73.33%, respectively. Based on the suitability threshold of ≥70%, all land alternatives are deemed suitable for porang cultivation. These findings demonstrate the effectiveness of MAUT in supporting data-driven decision-making in the agricultural sector. Furthermore, this approach can be replicated for other commodities and further enhanced through the integration of spatial mapping and financial benefit analysis.
Virtual Tour: Supporting Tourism Promotion in Benteng Alla’ South Sulawesi As’ad, Ihwana; Dewantara, Andi Harpeni; Najirah; Usman, Musrayani; Base, Nurul Hidayah
Indonesian Journal of Community Services Cel Vol. 1 No. 2 (2022): Indonesian Journal of Community Services Cel
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (192.847 KB) | DOI: 10.70110/ijcsc.v1i2.27

Abstract

Benteng Alla is one of the historical sites that needs to be developed as an international tourist destination. It is located in Benteng Alla Utara Village, Baroko District, Enrekang Regency, South Sulawesi. This historical heritage has a beautiful panorama, historical value, and strategic location to visit as a tourist destination. Virtual tourism as an online interactive system is one of promotion strategies that could attract tourists to visit or even provide them some information needed before visiting Benteng Alla. The collection data in this community service employed observation, interviews, and documentation techniques. The document process was carried out by taking picture and videos that highlight the main sites and access to the location of Benteng Alla. These documentation footages then edited and packaged into a virtual tour video which could be widely accessed through YouTube platform. This online tour video is a digital media supporting virtual tours to promote Benteng Alla tourist destination nationally and internationally.
Feature Extraction Optimization to Improve Naïve Bayes Accuracy in Sentiment Analysis of Bulukumba Tourism Objects Setiawan, Darmawan; Umar, Najirah; Nur, M. Adnan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4580

Abstract

This research employs social media (Twitter) to apply sentiment analysis ascertain the degree of public satisfaction with the Bulukumba tourist attraction. Unstructured text data is a major challenge in sentiment analysis. For this reason, implementing the Naïve Bayes algorithm is an effective approach for conquering this challenge because of its ability to handle text data well. This study aims to evaluate the performance of multinomial Naïve Bayes by testing a combination of minimum document frequency (min-df) and maximum document frequency (max-df) parameter values in determining the level of accuracy. This analysis stage includes collecting data from Twitter related to the Bulukumba tourist attraction. Preprocessing carried out includes data cleaning, casefolding, text normalization, tokenization, stopword removal, and stemming. Feature extraction using Count Vectorizer and TF-IDF weighting. The process ends with 10-Fold Cross-Validation by separating the data into training data and test data for sentiment analysis classification, as well as evaluation using the Confusion Matrix. In this research, there are 10 test scenarios with various combinations of min-df and max-df. The values of employed min-df consists of 0.001, 0.002, 0.005, 0.01, 0.02 and max-df consists of 0.5 and 0.8. The results of implementing Multinomial Naïve Bayes in this test show that classification accuracy increases with effective min-df and max-df parameter settings. The greatest accuracy was 0.7910 in testing a combination of min-df parameter values of 0.001 and max-df 0.8. Meanwhile, the average accuracy for each test was obtained the highest value of 0.7272 with min-df of 0.002 and max-df of 0.5 and 0.8 respectively.
Analisis Peranan Pemilih Pemula dan Pentingnya Teknologi Digital Untuk Pemilihan Umum 2024 di Indonesia (Studi Kasus: Pemilih Pemula SMA Negeri 20 Makassar) Tamrin, Usman; RS, Asmaul Husna; Arsyad, Andi Asyhary J.; Umar, Najirah; Kurniawan, Dody
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.89

Abstract

This research aims to analyze the role of first-time voters, particularly high school students at SMA Negeri 20 Makassar, in facing the 2024 General Election through the utilization of digital media. The research method employed is descriptive quantitative method with the study population encompassing all students of SMA Negeri 20 Makassar, with a sample size of 208 individuals selected using random sampling method. The results of the study indicate that first-time voters can easily access political information in the current digital era through various online platforms such as social media, news websites, and political information portals. In this study, digital literacy emerges as significantly crucial in assisting students to comprehend the necessary technology and skills required to manage online information, with a success rate of digital literacy reaching 61%. The political perceptions of first-time voters are greatly influenced by social media, which serves as the primary platform. Good digital literacy enables them to access information quickly and evaluate the balance and authenticity of the information presented. Therefore, digital literacy aids students in forming critical attitudes toward political content disseminated on social media. Additionally, they also learn about the role of technology in shaping mature political views for the 2024 General Election.
PENINGKATAN KOMPETENSI GURU MELALUI PELATIHAN PEMBUATAN MODUL PEMBELAJARAN MENGGUNAKAN APLIKASI GOOGLE SITES PADA GURU MAN 3 MAKASSAR Umar, Najirah; Yuyun, Yuyun
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Publisher : LPPM UNIVERSITAS KHAIRUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/pengamas.v6i1.4220

Abstract

ABSTRAKKegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk memberikan Pelatihan pemanfaatan Google Site dalam mendukung proses pembelajaran di MAN 3 Makassar. Materi yang disampaikan yaitu Pemanfaatan Google Site dalam membuat Modul pembelajaran. Lokasi pelatihan Aula MAN 3 Makassar, dengan jumlah peserta sebanyak 40 orang dan telah dilaksanakan pada tanggal 27 sampai 28 Januari 2022. Metode yang digunakan adalah dengan ceramah, praktek, tanya jawab dan diskusi. Hasil kuesioner yang diberikan ke peserta menunjukkan bahwa 88% peserta memberikan tanggapan sangat baik terhadap kegiatan PkM serta menyarankan agar kedepannya melaksanakan kegiatan yang serupa oleh Dosen STMIK Handayani. Di MAN 3 Makassar belum semua guru dapat membuat Modul pembelajaran berbasis Teknologi Informasi, lebih banyak masih menggunakan Modul konvensional, sehingga dengan kegiatan PkM ini, guru mampu aplikasi Google Site dalam membuat Modul pembelajaran. Sasaran dalam program pengabdian ini adalah meningkatkan kemampuan dan kompetensi guru dalam membuat Modul pembelajaran. Berdasarkan hasil pengamatan dan evaluasi terlihat guru dalam  mengikuti pelatihan dengan sangat antusias. Peserta yang mengikuti program pelatihan ini memiliki disiplin ilmu dan latar belakang Pendidikan  yang berbeda-beda. Setelah pelatihan dilakukan evaluasi terhadap kemampuan guru mengaupload modul pembelajaran pada google site yaitu 60% telah mampu mengapuload sendiri dan 40% masih butuh pendampingan. Kata Kunci : Pelatihan, Google Site, Modul, Teknologi, Guru ABSTRAKThis Community Service (PkM) activity aims to provide training on how to use Google Sites to support the learning process at MAN 3 Makassar. The material presented is the use of Google sites in the creation of learning modules. The location of the training is the hall of MAN 3 Makassar with a total of 40 participants and took place from January 27th to 28th, 2022. The method used is lecture, exercise, question and answer, and discussion. The results of the questionnaire to the participants showed that 88% of the participants answered the PkM activities very well and suggested that the STMIK lecturer Handayani would conduct similar activities in the future. In MAN 3 Makassar, not all teachers can create information technology based learning modules, even more use traditional modules, so this PkM activity allows teachers to use Google Site in creating learning modules. The aim of this service program is to improve the ability and competence of teachers in the creation of learning modules. The observation and evaluation results showed that the teacher participated in the training with great enthusiasm. Participants who take part in this training program come from a variety of disciplines and educational backgrounds. After the training, an assessment was made of the teacher's ability to upload learning modules to the Google website, namely 60% were able to upload themselves and 40% still needed assistance.Keywords: Training, Google Site, Module, Technology, Teacher
Assessing the Influence of Mobility Behavior on the Covid-19 Transmission: A Case in the Most Affected City of Indonesia Umar, Najirah; Gani, Hamdan; Zuhriyah, Sitti; Gani, Helmy; Zhipeng, Feng
ILKOM Jurnal Ilmiah Vol 14, No 1 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i1.1043.17-24

Abstract

An emerging outbreak of Covid-19 has now been detected across the globe. Given this pandemic condition, the robust estimation reports are urgently needed. Therefore, this study aims to analyze the impacts of community mobility (before, during, and after the lockdown period) on the spread of the Covid-19 in Jakarta, Indonesia. The secondary data was derived from surveillance data for Covid-19 daily cases from the Health Office of DKI Jakarta Province and the Ministry of Health. The community mobility indicators were retrieved from the Google website. Our results showed that in the pre-lockdown period, the Covid-19 daily cases rapidly increased, while community mobility significantly dropped. The increasing number of Covid-19 daily cases was significantly affected by the number of Covid-19 tests per day rather than community mobility. During the restriction period, the number of Covid-19 tests per day, and community mobility statistically affected the decreasing number of Covid-19 daily cases. Meanwhile, after the lockdown period, the number of Covid-19 daily cases rapidly increased, which significantly has a direct relationship with the increasing level of community mobility. Overall, community mobility and the number of tests per day are the essential variables that explain the number of Covid-19 daily cases in Jakarta, Indonesia. Additionally, this study did not observe any impact of average air temperature and air pollution on the spread of Covid-19. This study figures out that community mobility could potentially explain the progression of Covid-19.
Generating game immersion features for immersive game selection Umar, Najirah; Yuyun, Yuyun; Gani, Hamdan
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1224.264-274

Abstract

The immersion is an essential component of the modern digital game. Currently, immersion is the required component which should be included in the digital game. The modern game which success within game industry surely has included immersion as a component. Although digital games have been introduced for many years, yet what is immersion game been known very little. Regarding the intensive study about user immersion, there is still a lack of knowledge about game immersion. First, the game designers, game developers, and gamers are facing problems how to understand whether their game is immersive or not. There is no knowledge regarding how to evaluate their game, whether immersive or not, and this process requires expert knowledge. Second, currently, the game designers are relied on speculative interpretation to evaluate their game because there is no method to examine whether the game is immersive or not. Therefore, this study aims to propose a method  that enable to evaluate if the game is immersive or not. This method is emerged as knowledge and recommendation that quickly be able to assist the game designers, game developers, and gamers evaluating whether a game is immersive or not. First, this research conducts a literature review to categorize the game immersion features. Second, this study proposes an effective method that can analyse and recommends whether a game is immersive or not. Finally, this study reveals that the finding could be used as a recommendation for the other immersive technology platforms.
EVALUATION OF INDOBERT AND ROBERTA: PERFORMANCE OF INDONESIAN LANGUAGE TRANSFORMER MODELS IN SENTIMENT CLASSIFICATION M. Adnan Nur; Najirah Umar; Zhipeng Feng; Hamdan Gani
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 2 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i2.9988

Abstract

The development of Natural Language Processing (NLP) technology has had a significant impact on various fields, especially in sentiment analysis. This analysis becomes important in understanding public perception, especially on social media which has a lot of opinions. Indonesian, with its morphological complexity, dialectal variations, and dynamic everyday vocabulary usage, presents unique challenges in the development of NLP models. This study aims to evaluate and compare the performance of two Indonesian language transformer models, namely IndoBERT (Indonesia Bidirectional Encoder Representations from Transformers) and RoBERTa Indonesia (Robustly Optimized BERT Pretraining Approach) in applying sentiment classification using the Indonesian General Sentiment Analysis Dataset. Both models were fine-tuned using consistent hyperparameter configurations to ensure the validity of the comparison. Evaluation was conducted based on classification metrics, namely precision, recall, F1-score, and accuracy. The results show that the IndoBERT model excels in all aspects of evaluation. IndoBERT achieved an accuracy of 70%, while RoBERTa Indonesia only reached 67%. Additionally, the average F1-score of IndoBERT at 0.69 is higher compared to RoBERTa, which only reached 0.65. The performance of IndoBERT is also more balanced in classifying the three sentiment categories (negative, neutral, and positive), whereas RoBERTa shows less consistent performance, especially in negative and positive sentiments. In the loss analysis, IndoBERT produced a lower evaluation loss value, indicating better generalization capability. Additionally, IndoBERT also shows faster and more stable training times compared to RoBERTa. This performance difference shows that the architecture and pre-trained data used by each model affect their ability to understand Indonesian contextually. This research provides a comprehensive comparative overview of the effectiveness of two transformer models in the task of Indonesian language sentiment analysis, as well as lays the groundwork for selecting a more optimal model in the development of NLP systems for social media.
DIGITALIZATION OF DANGKE MELONA SMES: BOOSTING SALES THROUGH E-COMMERCE Andi Asy’hary J. Arsyad; Usman Tamrin; Najirah Umar; Asmaul Husna RS; Janisa Pascawati Lande
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.40238

Abstract

UMKM Dangke Melona di Kabupaten Enrekang menghadapi tantangan signifikan dalam memanfaatkan teknologi digital untuk memperluas pasar mereka di tingkat nasional dan internasional. Dalam konteks globalisasi ekonomi yang semakin pesat, transformasi digital menjadi kunci keberhasilan usaha kecil dan menengah, terutama dalam menjangkau konsumen di luar batas-batas geografis. Program Pengabdian kepada Masyarakat ini dirancang untuk mendukung transformasi digital UMKM Dangke Melona melalui peningkatan literasi digital dan implementasi strategi pemasaran digital yang komprehensif. Metode pelaksanaan program meliputi sosialisasi, pelatihan, dan pendampingan dalam pengelolaan media sosial, pengembangan website, serta optimalisasi penggunaan e-commerce. Hasil dari program ini menunjukkan adanya peningkatan signifikan dalam jumlah pengikut di media sosial, peningkatan penjualan produk melalui platform e-commerce, serta terbentuknya kemitraan dengan distributor nasional dan internasional. Dengan demikian, program ini tidak hanya meningkatkan kemampuan teknis dan manajerial UMKM Dangke Melona, tetapi juga membuka peluang bagi mereka untuk bersaing di pasar global.
Training on the Utilization of Green Grass Jelly For Food and Beverage Ingredients: Participatory Training-Based Intervention Sutiharni Sutiharni; Dewi Handayani; Indriyani Indriyani; Najirah Umar; Mulono Apriyanto; Citra Indriyati; Bestfy Anitasar; Siti Rahmah Hidayatullah Lubis; Lukman Handoko
Jurnal Medika: Medika Vol. 4 No. 3 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/8z0kh213

Abstract

This community service program aimed to empower local communities by enhancing their knowledge and skills in utilizing green grass jelly (Cyclea barbata Miers) as an alternative ingredient for healthy food and beverage products. Conducted over three days, the training involved 12 participants with diverse backgrounds, including homemakers, youth, and micro-entrepreneurs. The program adopted a participatory training approach that combined theoretical knowledge with hands-on practice, including plant identification, jelly extraction techniques, hygiene practices, and product innovation. Pre- and post-training assessments revealed significant improvement in participants’ understanding and abilities. Initially, only 25% of participants were familiar with the plant's benefits and usage. After the training, 100% of participants demonstrated comprehension of the nutritional value and processing methods, and 75% successfully created product variants such as fruit-infused jelly drinks and herbal puddings. The training encouraged creativity and showed the potential of green grass jelly as a sustainable, low-cost, and health-promoting ingredient suitable for micro-entrepreneurial ventures. The program concluded that community-based food innovation training can serve as an effective model for promoting local resources, enhancing food security, and developing rural economies. It also emphasized the importance of combining traditional knowledge with modern food processing techniques to generate added value and marketable products.
Co-Authors - Guntur Absri Absri agus rahmat Andi Alamsyah Andi Asyhary J. Arsyad Andi Asy’hary J. Arsyad Andi Harpeni Dewantara, Andi Harpeni Anna Lidiyawati Ariana Tulus Purnomo Arsyad, Andi Asyhary J. Asmaul Husna RS Asmaul Husna RS Asriayani Ismail As’ad, Ihwana Base, Nurul Hidayah Bestfy Anitasar Caniago, Deosa Putra Citra Indriyati Darmawan Setiawan, Darmawan Dewi Handayani DODY KURNIAWAN Dwiky Darmawansyah Fahmi Yuliady Fatri Sagita Fuari Anatasya, A. Edeth Gani, Helmy Hamdan Gani Hamdan Gani I Wayan Suparno Indriyani Indriyani Jabal Nur Janisa Pascawati Lande Jefry Samuel Jura, Suwatri Kamarudddin Kamarudddin Kamaruddin Kamaruddin Lande, Janisa Pascawati Lukman Handoko M. Adnan Nur Memi Pratiwi Muh. Fachrur Razy Mahka Muhammad Idris Mulono Apriyanto Nafis Sjamsuddin, Irfan Nasrullah Nasrullah Nasrullah Nasrullah Nur Lilis Sukanda Nur, M. Adnan Nurahmad Nurahmad Nurfaedah Nurfaedah, Nurfaedah Nuris Kushayati Nurul Indasari Putri, Nur Ika Raden Wirawan Rafsanjani, Ali Rifqi Rahmaniar Rahmaniar, Rahmaniar Rahmat Hidayat Rizkha, Andi Nur RS, Asmaul Husna Siskha Putri Sayekti Siti Rahmah Hidayatullah Lubis Sri Khaerawati Nur Sri Panca Setyawati Sudarsono, Firman Sutiharni Sutiharni Syahrul Saleh Syam, Supriadi Syurah A Furqany Syuriadi Syuriadi Tahir, Zaenal Tamrin, Usman Ulfa Laela R Usman Tamrin Usman, Musrayani Wabula, Yuyun Wahyuningsih, Pujianti Yuyun Yuyun Yuyun Yuyun, Yuyun Zhipeng Feng Zhipeng, Feng Zuhriyah, Sitti