Garuda - Garba Rujukan Digital

Implementasi Sistem Pendukung Keputusan Menentukan Warga Penerima Kartu Indonesia Sehat (KIS) dengan Menerapkan Metode Analitycal Hierarcy Process Berbasis Web Studi Kasus Kelurahan Balai Gadang Kecamatan Koto Tangah Padang Taufik Nur Zam Zam; Yuhandri Yunus; Harkamsyah Andrianof
Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Vol. 5 No. 2 (2023): ELTI Desember
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/elti.v5i2.208

The Healthy Indonesia Cards (KIS) is an identity card for National Health Insurance (JKN) participants managed by BPJS Kesehatan. This Healthy Indonesia Card is different from BPJS. The difference is that the Healthy Indonesia Card is only specifically for people with an underprivileged economy and the poor, while BPJS Health targets all Indonesian people, regardless of community background. The Healthy Indonesia Card (KIS) itself is a program that the Indonesian people feel the most benefit from, because people can get treatment without spending money. Sub-districts can also help get letters to get Healthy Indonesia Cards, but in issuing letters proposing names of residents who are eligible to get Healthy Indonesia Cards (KIS) are not as optimal as Balai Gadang Village, for this a decision support system (SPK) is needed. The decision support system in this study uses the Analytical Hierarchy Process (AHP) method. The Analytical Hierarchy Process (AHP) method was chosen because it can be used in solving complex unstructured situations for components in a hierarchical arrangement, by selecting which variable has the highest priority to influence the outcome of that situation. A system created using the PHP programming language and MySQL database that can help the Balai Gadang sub-district select residents in a timely and accurate manner.

Penerapan Metode Weighted Product dan Simple Additive Weighting dalam Sistem Penunjang Keputusan Pemilihan Keramik Berkualitas (Studi Kasus : Toko Keramik Abadi) Achmad Fauzan Syaputra; Yuhandri Yunus; Harkamsyah Andrianof
Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Vol. 5 No. 2 (2023): ELTI Desember
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/elti.v5i2.211

Rapid development in the world of information and communication technology as a result of globalization have also had a major impact on certain fields including the industrial sector, on industrial sector, technology is very useful in searching, storing, distributing and presenting information. Indonesia has an increasingly promising ceramics indsutry development from years. Ceramics is a building material that functions to coat the floor surface to make it look more attractive. The presence of various vendors with varied motifs and qualities has created confusion among consumers in choosing ceramics. Implementing a decision support system when choosing product quality is able to provide structured assessments that assist consumers and business stakeholders in evaluating the selection of quality ceramics. The SPK method used in designing this system is the weighted product and simple additive weighting methods. The WP method is able to simplify a complex unstructured problem by using multiplication in connecting attribute ratings, while the SAW method is able to provide a more precise assessment because it is based on the criterion value of predetermined preference weights. The results of the assessment of these two methods are expected to be taken into consideration in the selection of quality ceramics appropriately.

Socialization and Implementation of Digital Media in the Development of Promotional Videos for Guak Lago Camping Ground Tourism Sayuti, Muhammad; Aggy Pramana Gusman; Okta Andrica Putra; Harkamsyah Andrianof; Hasri Awal; Melisa Suardi
Journal of Community Service and Application of Science Vol. 4 No. 2 (2025): COMMUNITY SERVICE AND APPLICATION SCIENCE (JCSAS)
Publisher : KPN Kopertis X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62769/08zzqf76

Nestled in the heart of nature, Bumi Perkemahan Guak Lago holds extraordinary tourism potential, yet remains trapped in the shadow of obscurity. The subject of this community service is a hidden gem awaiting its moment in the spotlight, where promotion still relies on conventional methods with limited reach. The prevailing phenomenon is a paradox: a captivating landscape enjoyed only by a handful of local visitors, while a vast wave of digital tourists actively seeks new destinations that go viral on their screens. This Community Service (Pengabdian kepada Masyarakat/PKM) initiative acts as a bridge, shifting the paradigm by bringing the winds of digital change directly to the managing community. The applied method was a series of transformative interactions, beginning with intensive socialization on the importance of digital media, followed by practical training and direct mentoring in visual content production. This process went beyond mere theory, immersing participants in every stage—from capturing images with smartphones and basic editing to distribution strategies on social platforms. The overall outcome of this activity is commendable: the birth of a professional promotional video entirely crafted by the local community, which now serves not only as a promotional tool but also as a new symbol of pride and self-reliance. The activity successfully ignited the spark of digital literacy, transforming passivity into activity, turning mere site caretakers into confident content creators. Its impact flows like the waters of Guak Lago refreshing, bringing new life, and opening a stronger current of economic opportunities for sustainable village tourism. This empowerment is not an end but the first step on a long journey toward promotional self-sufficiency in the digital era.

Algorithm Decision Tree in Analysis Social Media Sentiment to Understand Consumer Views of Brands Pramana Gusman, Aggy; Andrianof, Harkamsyah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3619

Online marketplaces in Indonesia are growing rapidly and have become one of the main destinations for internet and social media users. Various marketplace services are available and accessed by the majority of Indonesians. However, with this development, consumer satisfaction with marketplace services varies, from positive, to negative, to neutral. Many consumers express their reactions on social media, including Twitter. In this study, an analysis of opinions was conducted on posts by online business customers in Indonesia on Twitter from various consumers. However, due to the large number of comments, it is difficult to conclude the customer's opinion about online shopping sites that offer the best services. Even trending topics on Twitter only display hot topics that are widely discussed without clear conclusions. To classify general opinion data on Twitter from e-commerce sites, the first step is to process tweet data using Rapidminer tools to recognize the tweet data. Then, the decision tree algorithm is used to categorize opinion data. The results showed that using cross-validation, the decision tree algorithm achieved an accuracy of 70.27 percent while using split validation, it achieved an accuracy of 66.95 percent. In this case, better accuracy was achieved using cross-validation. The results of this study can provide useful information for online businesses in Indonesia to improve the quality of their services and increase customer satisfaction. In addition, this study also provides an overview of the importance of utilizing the decision tree algorithm in categorizing opinion data on social media, especially on Twitter, as a tool for analyzing consumer sentiment towards a service or product.

APPLICATION OF THE C4.5 ALGORITHM IN MEASURING CUSTOMER SATISFACTION LEVELS TOWARD SERVICE IN A MINIMARKET Harkamsyah Andrianof; Aggy Pramana Gusman; Okta Andrica Putra Gusman
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1086

Customer satisfaction is a crucial indicator in assessing the service quality of a retail business, specifically at Minimarket Berkah Jaya. Currently, customer satisfaction measurement is conducted manually, resulting in subjective and unstructured data, which hinders management from evaluating and improving service quality effectively. Therefore, this study aims to apply the C4.5 algorithm to measure and classify the level of customer satisfaction. The research data were collected through questionnaires distributed to 50 customers. The classification process used the C4.5 algorithm with attributes: Cashier Service, Shop Assistant Service, Product Completeness, Transaction Speed, and Store Facilities. The algorithm constructed a decision tree based on entropy and information gain calculations. The results indicate that Cashier Service is the most influential factor in determining customer satisfaction at Minimarket Berkah Jaya. The developed system assists management in data-driven decision-making to enhance service quality.

Analisis Sentimen Multi-Bahasa Pada Media Sosial Menggunakan Hybrid Transformers Dan Contextual Embeddings Harkamsyah Andrianof; Aggy Pramana Gusman
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i3.1340

Analisis sentimen di media sosial telah menjadi aspek penting dalam memahami persepsi publik terhadap merek, topik, atau peristiwa tertentu. Namun, tantangan signifikan muncul ketika menganalisis konten multibahasa yang mencerminkan keragaman pengguna global. Penelitian ini mengusulkan pendekatan hibrida yang mengintegrasikan Transformer dan Contextual Embeddings untuk meningkatkan akurasi analisis sentimen lintas bahasa. Metode ini menggabungkan kekuatan Transformer dalam menangkap konteks semantik yang mendalam dengan Contextual Embeddings yang mampu merepresentasikan nuansa linguistik spesifik untuk setiap bahasa. Dataset penelitian mencakup komentar dari berbagai platform media sosial dalam lima bahasa: Indonesia, Inggris, Mandarin, Spanyol, dan Arab. Hasil eksperimen menunjukkan bahwa pendekatan hibrida ini mencapai akurasi 94,2% dan skor F1 sebesar 0,932, melampaui model BERT mandiri sebagai dasar, yang hanya mencapai 89,5%. Temuan ini menegaskan efektivitas pengintegrasian beberapa embedding dalam mengatasi keunikan setiap bahasa. Penelitian ini berkontribusi pada pengembangan sistem analisis sentimen yang lebih kuat dan adaptif terhadap keragaman linguistik dalam ekosistem media sosial global.

Assistance in Digital Technology Based Audio Visual Media Production for the Preservation and Promotion of Rumah Gadang Salo Payakumbuh Muhammad Sayuti; MelisaSuardi MelisaSuardi; Tedy Wiraseptya; Aggy Pramana Gusman; Harkamsyah Andrianof; Okta Andrica Putra; Abulwafa Muhammad
Journal of Community Service and Application of Science Vol. 5 No. 1 (2026): Journal of Community Service and Application of Science
Publisher : KPN Kopertis X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62769/cdsn3v37

Rumah Gadang Salo Payakumbuh is one of the Minangkabau cultural heritage sites with significant historical, philosophical, and architectural values. However, the utilization of digital media as a means of cultural documentation, education, and promotion remains limited, resulting in insufficient dissemination of its cultural values to the wider community. This community service program aimed to assist local partners in producing audiovisual media based on digital technology as an effort to preserve and promote Rumah Gadang Salo Payakumbuh. The implementation methods included field observation, partner needs assessment, creative concept development, audiovisual production training, video shooting assistance, video editing, and joint evaluation with the partners. The program integrated the expertise of the Visual Communication Design discipline in visual communication planning, cinematography, and video editing with the Computer Science discipline in multimedia technology and digital media utilization to produce informative, engaging, and accessible digital content. The primary output of this program was a cultural documentary video that serves as a medium for education, cultural tourism promotion, and digital documentation of local cultural heritage. The results indicate that the partners improved their knowledge and technical skills in audiovisual media production while obtaining a promotional medium capable of expanding public access to information about Rumah Gadang Salo through various digital platforms. This community service activity is expected to support technology-based cultural preservation, enhance community participation in safeguarding cultural heritage, and strengthen the sustainable promotion of cultural tourism destinations in Payakumbuh City.

APPLICATION OF THE C4.5 ALGORITHM IN MEASURING CUSTOMER SATISFACTION LEVELS TOWARD SERVICE IN A MINIMARKET Harkamsyah Andrianof; Aggy Pramana Gusman; Okta Andrica Putra Gusman
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1086

Customer satisfaction is a crucial indicator in assessing the service quality of a retail business, specifically at Minimarket Berkah Jaya. Currently, customer satisfaction measurement is conducted manually, resulting in subjective and unstructured data, which hinders management from evaluating and improving service quality effectively. Therefore, this study aims to apply the C4.5 algorithm to measure and classify the level of customer satisfaction. The research data were collected through questionnaires distributed to 50 customers. The classification process used the C4.5 algorithm with attributes: Cashier Service, Shop Assistant Service, Product Completeness, Transaction Speed, and Store Facilities. The algorithm constructed a decision tree based on entropy and information gain calculations. The results indicate that Cashier Service is the most influential factor in determining customer satisfaction at Minimarket Berkah Jaya. The developed system assists management in data-driven decision-making to enhance service quality.

Analisis Sentimen Multi-Bahasa Pada Media Sosial Menggunakan Hybrid Transformers Dan Contextual Embeddings Harkamsyah Andrianof; Aggy Pramana Gusman
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i3.1340

Analisis sentimen di media sosial telah menjadi aspek penting dalam memahami persepsi publik terhadap merek, topik, atau peristiwa tertentu. Namun, tantangan signifikan muncul ketika menganalisis konten multibahasa yang mencerminkan keragaman pengguna global. Penelitian ini mengusulkan pendekatan hibrida yang mengintegrasikan Transformer dan Contextual Embeddings untuk meningkatkan akurasi analisis sentimen lintas bahasa. Metode ini menggabungkan kekuatan Transformer dalam menangkap konteks semantik yang mendalam dengan Contextual Embeddings yang mampu merepresentasikan nuansa linguistik spesifik untuk setiap bahasa. Dataset penelitian mencakup komentar dari berbagai platform media sosial dalam lima bahasa: Indonesia, Inggris, Mandarin, Spanyol, dan Arab. Hasil eksperimen menunjukkan bahwa pendekatan hibrida ini mencapai akurasi 94,2% dan skor F1 sebesar 0,932, melampaui model BERT mandiri sebagai dasar, yang hanya mencapai 89,5%. Temuan ini menegaskan efektivitas pengintegrasian beberapa embedding dalam mengatasi keunikan setiap bahasa. Penelitian ini berkontribusi pada pengembangan sistem analisis sentimen yang lebih kuat dan adaptif terhadap keragaman linguistik dalam ekosistem media sosial global.

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