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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Sains dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo 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 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 Journal of Digital Literacy and Volunteering
Najirah Umar
Universitas Handayani Makassar
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Training on the Utilization of Green Grass Jelly For Food and Beverage Ingredients: Participatory Training-Based Intervention Sutiharni, Sutiharni; Handayani, Dewi; Indriyani, Indriyani; Umar, Najirah; Apriyanto, Mulono; Indriyati, Citra; Anitasar, Bestfy; Lubis, Siti Rahmah Hidayatullah; Handoko, Lukman
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.
Evaluating the Performance of an LBS-Based Waste Reporting Application for Digital Waste Management Umar, Najirah; Asrul, Billy Eden William; Wabula, Yuyun
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9945

Abstract

The escalating volume of urban waste in Indonesia presents a serious challenge, exacerbated by conventional reporting mechanisms that are slow and inefficient. This study aims to develop and evaluate E-Trash, a Location-Based Services (LBS) application designed to accelerate the workflow of participatory waste reporting, handling, and monitoring in Makassar City. The novelty of this research lies in the synergistic integration of citizen reporting, real-time bidirectional notifications between reporters and field officers, and a spatial monitoring dashboard for policymakers, validated through direct, real-world implementation. The research methodology employs a software engineering approach utilizing a prototype model. System validation was conducted in three stages: black-box testing on 24 core features, performance testing under various bandwidth conditions, and a two-week field trial involving community members and sanitation personnel in two sub-districts. The findings robustly conclude that the E-Trash application effectively leverages a digital, Location-Based Services (LBS) approach to significantly enhance citizen participation in waste reporting and improve the response efficiency of sanitation personnel. The system demonstrated optimal functionality across diverse network conditions and device types, with stable response times and a high data transmission success rate affirming its reliability. Field implementation notably yielded a reduction in illegal waste accumulation and an increase in overall handling efficiency, primarily facilitated by the bidirectional notification system between citizens and sanitation teams. Consequently, E-Trash emerges as a highly viable candidate for replication in other urban settings, serving as a robust, community-participation-centric smart solution for sustainable urban sanitation management.
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.
DIGITALIZATION OF DANGKE MELONA SMES: BOOSTING SALES THROUGH E-COMMERCE Arsyad, Andi Asy’hary J.; Tamrin, Usman; Umar, Najirah; RS, Asmaul Husna; Lande, Janisa Pascawati
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.
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
Type Deep Learning Model for Multi-Label Waste Classification in Canal Environments: A Comparative Study with CNN Architectures Umar, Najirah; Asrul, Billy Eden William; Yuyun, Yuyun
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1066

Abstract

The escalating environmental degradation caused by waste underscores the necessity of developing intelligent and sustainable management systems. This study introduces a deep learning–based framework with proposed a modified ConvNeXt architecture enhanced by a two-layer non-linear MLP classification, specifically designed for multi-object waste classification in canal environments. Specifically, ConvNeXt-CNN is introduced as the primary backbone for extracting visual features from waste images. Then, a modified Multi-Layer Perceptron (MLP) is employed to transform these features into multi-label predictions. To optimize the model’s generalization capability in recognizing the complexity of waste images, a hybrid data augmentation technique combining SMOTE and MixUp was applied during training. The proposed approach was then compared with ten fine-tuned Convolutional Neural Network (CNN) architectures, ResNet18, ResNet50, VGG16, VGG19, DenseNet121, MobileNet_v2, and EfficientNet (B0, B1, B2, and B3), and evaluated using accuracy, precision, recall, and F1-score metrics. The experimental dataset comprises 855 waste images containing a total of 2,662 annotated objects across 18 categories, including Bamboo, Beverage Carton, Cardboard, Fabric, Glass Bottle, Inorganic Waste, Kite, Leaf, Metal, Organic Waste, Paper, Plastic, Plastic Bottle, Plastic Cup, Residual Waste, Rubber, Small E-waste, Styrofoam, and Wood. The results show that the fine-tuned ConvNeXt achieved the best performance with an F1-score of 0.99, surpassing DenseNet121 (0.95), ResNet18 (0.91), and VGG16 (0.94). The ConvNeXt model demonstrated its robust capability by achieving consistently high identification scores across majority 18 waste categories. When it came to training efficiency, the fine-tuned MobileNetV2 model proved to be the top performer, outclassing ten other pretrained models, with a training time of 13.35s per epoch.  Results exhibit that finetuned ConvNext outperforms in terms of accuracy, recall, precision, and F1-score. In conclusion, Integrating ConvNeXt and MLP for multi-object waste classification effectively supports intelligent waste management, enabling practical real-world deployment in smart bins, Material Recovery Facilities, and IoT-integrated urban waste systems.
Tahapan dan Tantangan Pembangunan Literasi Digital di Era Transformasi Digital Umar, Najirah; J. Arsyad, Andi Asyhary
Journal of Digital Literacy and Volunteering Vol. 3 No. 2 (2025): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i2.110

Abstract

Digital literacy is vital in today's information age, affecting various aspects of life, including education, employment, and social interaction. The study explores the stages of digital literacy development and its implications for individuals and organizations. The research aims to identify key factors that affect digital literacy and propose strategies to enhance it. Research highlights the importance of access to digital tools, training, and sustainable learning in promoting digital literacy. The study concludes that targeted interventions and supportive policies are essential for the development of effective digital literacy, which ultimately contributes to personal and social progress.
Co-Authors - Guntur agus rahmat Andi Alamsyah Andi Harpeni Dewantara, Andi Harpeni Anitasar, Bestfy Anna Lidiyawati Apriyanto, Mulono Arsyad, Andi Asyhary J. Arsyad, Andi Asy’hary J. Asriayani Ismail As’ad, Ihwana Base, Nurul Hidayah Darmawan Setiawan, Darmawan Dewi Handayani DODY KURNIAWAN Dwiky Darmawansyah Fahmi Yuliady Fatri Sagita Feng, Zhipeng Fuari Anatasya, A. Edeth Hamdan Gani Indriyani Indriyani Indriyati, Citra J. Arsyad, Andi Asyhary Jefry Samuel Jura, Suwatri Kamaruddin Kamaruddin Lande, Janisa Pascawati Lubis, Siti Rahmah Hidayatullah Lukman Handoko Mansur Mansur Muh. Fachrur Razy Mahka Muhammad Idris Nasrullah Nasrullah Nur Lilis Sukanda Nur, M. Adnan Nurfaedah Nurfaedah, Nurfaedah Nuris Kushayati Putri, Nur Ika Raden Wirawan Rahmaniar Rahmaniar, Rahmaniar Rahmat Hidayat Rizkha, Andi Nur RS, Asmaul Husna Siskha Putri Sayekti Sri Khaerawati Nur Sri Panca Setyawati Sudarsono, Firman Sutiharni, Sutiharni Syahrul Saleh Syam, Supriadi Syurah A Furqany Tahir, Zaenal Tamrin, Usman Ulfa Laela R Usman, Musrayani Wabula, Yuyun Wahyuningsih, Pujianti Yuyun Yuyun, Yuyun Zuhriyah, Sitti