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All Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) Al-Khidmah Jurnal Pengabdian Masyarakat
Sriani Sriani
Universitas Islam Negeri Sumatera Utara, Medan, 20235
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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Strategi Pemberdayaan Ekonomi dan Literasi Sosial Berbasis UMKM Raisha Salsabila; Nabila Farah Dhiba; Angga Hade Fahrezi; Dea Ananda Pratama Hutabarat; Sriani Sriani
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): JANUARI-APRIL
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v6i1.5010

Abstract

The implementation of the Community Service Program (KKN) in Beringin Village was motivated by the community's low economic capacity, minimal social literacy, limited environmental management, and the need to strengthen religious values ​​amidst digital developments. These conditions demonstrate the importance of holistic and sustainable community empowerment-based interventions. This community service program used a qualitative descriptive method with a participatory approach, including observation, interviews, Focus Group Discussions (FGDs), mentoring MSMEs, biopore construction practices, and religious literacy development. The results of the activities showed an increase in MSME skills in digital marketing and financial recording, an increase in residents' ability to recognize hoaxes, the formation of more participatory social behavior, and growing environmental awareness through the implementation of biopores and organic waste management. In the religious field, mentoring in reading the Quran and mosque youth activities had an impact on increasing understanding and habituation of worship among the younger generation. Overall, this program made a significant contribution to strengthening the local economy, social resilience, environmental sustainability, and fostering community morality. These findings confirm that an empowerment approach based on collaboration and local needs is an effective strategy in realizing independent and sustainable village development
Pemberdayaan Usaha Terasi Tradisional Melalui Optimalisasi Produksi dan Strategi Pemasaran Digital di Desa Beringin, Deli Serdang Sriani Sriani; Raja Nasrullah Fajrillah; Ouren Avellyola; M Abiyyu Wadi; Said Agil Lubs
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): JANUARI-APRIL
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v6i1.5294

Abstract

Indonesia, as a maritime country with an area of approximately 3,544 million km2 or 75% of the total area of the Republic of Indonesia (RI) with the second longest coastline in the world, has abundant marine resources, one of which is shrimp that can be processed into shrimp paste. Shrimp paste, a traditional fermented product with high economic value, is still managed in a simple manner by business operators, such as Mrs. Eva's family business in Beringin Village, which has been operating since 2000 with a production capacity of 35 kg per period, increasing to 70 kg during Eid al-Fitr. This community service activity aims to increase production capacity and expand the marketing of shrimp paste businesses through the application of simple production strategies and digital marketing. The results show that the business faces problems of limited raw materials, manual processes, price fluctuations, and marketing that is limited to the local market without branding or digitalization. However, the business has a high profit margin and a distinctive taste that is a competitive advantage. Empowering businesses through production optimization and digital marketing strategies has proven to be able to improve product quality, strengthen business identity, and expand market access. Digitalization and simple innovations effectively boost the competitiveness of SMEs based on local wisdom. Recommendations include diversifying raw materials, standardizing production, providing ongoing training in branding and digital marketing, and fostering multi stakeholder collaboration to expand impact and ensure business sustainability.
Sentiment Analysis of the Use of Makeup Products Using the Support Vector Machine Method Khairunnisa Khairunnisa; Sriani Sriani
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.439

Abstract

Many beauty products have emerged from various brands by providing attractive offers for women who are their main targets. Product reviews can help consumers regarding the quality of using the product. However, the problem is, on the femaledaily.com website there is no distinction between negative, neutral, and positive reviews so that consumers must first read the review and it takes a lot of time and this problem really requires a classification process on the review into negative, neutral, and positive classes. This process cannot be done automatically, therefore sentiment analysis is needed. To find out the classification of positive, negative, and neutral sentiment on the product, the Support Vector Machine (SVM) method is used, the advantage of SVM in this case lies in its ability to handle high-dimensional datasets and still produce effective classification and SVM is also a good choice for sentiment analysis in the context of cosmetic product reviews. The classification results using the SVM method produce data into 3 classes, namely 510 positive reviews, 98 neutral, and 29 negative with an accuracy value of 77.97%, precision 78%, recall 100%, fi-score 88%
Classification of Chicken Meat Freshness Using Support Vector Machine and Hue Saturation Intensity Cintana Aisyah Rilia; Sriani Sriani
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.440

Abstract

Chicken meat is a popular source of animal protein in Indonesia due to its high nutritional value, affordable price, and easy processing. The identification of chicken meat freshness is currently still done manually through visual or tactile inspection, but this method has limitations, especially if consumers are less skilled in distinguishing the quality of chicken meat freshness. Therefore, an automated system is needed to classify the freshness level of chicken meat based on images. This research aims to develop an image processing system in classifying the freshness level of chicken meat by utilizing the Support Vector Machine (SVM) method with Hue Saturation Intensity (HSI) based color feature extraction. This process is done by converting the RGB image into HSI, then extracting the Hue, Saturation, and Intensity values and classifying using a polynomial kernel. This study used 450 chicken meat images, with 360 training data and 90 test data. The developed system successfully achieved an accuracy of 65.56%. The test results show that the system is reliable in classifying the freshness level of chicken meat. This system has the potential to support the identification of meat freshness efficiently and objectively, while at the same time improving food safety.
Co-Authors Angga Hade Fahrezi Cintana Aisyah Rilia Dea Ananda Pratama Hutabarat Khairunnisa Khairunnisa M Abiyyu Wadi Nabila Farah Dhiba Ouren Avellyola Raisha Salsabila Raja Nasrullah Fajrillah Said Agil Lubs