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All Journal Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah UPI YPTK Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Ipteks Terapan : research of applied science and education COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal Of Informatics And Busisnes JOURNAL OF COMMUNITY SERVICE AND APPLICATION SCIENCE (JCSAS) Jurnal Teknik dan teknologi tepat guna The Indonesian Journal of Computer Science
Harkamsyah Andrianof
Universitas Putra Indonesia YPTK Padang
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PENERAPAN METODE SAW PADA SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN SISWA KURANG MAMPU MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN DATABASE MYSQL (STUDI KASUS : SMAN 4 PAYAKUMBUH) Mey Yuki Lestari; Yuhandri; Harkamsyah Andrianof
Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Vol. 5 No. 1 (2023): ELTI Juni
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/elti.v5i1.207

Abstract

In the world of education, computer technology is in great demand because it can facilitate various kinds of activities in schools such as the management of receiving aid for underprivileged students or what is known as scholarships. SMAN 4 Payakumbuh has a scholarship program, every year there is an increase in the number of applicants and there are certain quota limits which make it difficult for the selection team to receive assistance for underprivileged students, therefore there is the establishment of a new system to overcome the problems faced by the old system so that it can help the school select students who are eligible to receive assistance, reduce data redundancies, and can help the performance of SMAN 4 Payakumbuh to be efficient by using the SAW, PHP and MySQL methods, to be able to get assistance for underprivileged students it must be in accordance with predetermined criteria such as income parents, number of siblings, number of dependents, beneficiary and distance from home to school. The application of the system that has been designed can provide a good solution to the selection team at SMAN 4 Payakumbuh in determining students who are eligible to receive assistance quickly and precisely.
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Co-Authors Achmad Fauzan Syaputra Aditya Franatiaga Aggy Pramana Gusman Andrica Putra, Octa Aulia Fitrul Hadi Aulia Fitrul Hadi Aulia Hadi Awal, Hasri Dendi Novrizal Deval Gusrion Emil Salim Emil Salim Fanesyah Musvina Firdaus - Gusrion, Deval Halifia Hendri Hasri Awal Hasri Awal Huriyyah Hana, Riri Marfalino, Hari Melisa Suardi Mey Yuki Lestari Muhammad Hafizh Muhammad Pondrinal Okta Andrica Putra Okta Andrica Putra Gusman Prayuda, Muhammad Hozi Riska Robianto RISKA ROBIANTO, RISKA Romi Wijaya Sayuti, Muhammad Silfia Andini Silky Selfira Sri Rahmawati Steffany Syafri Arlis Syafri Arlis Taufik Nur Zam Zam Winda Sutra Amanda Winda Sutra Amanda Yuhandri Yuhandri Yunus