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All Journal Fortech : Journal of Information Technology Journal of Agribusiness and Local Wisdom Akademika Fortech : Journal of Information Technology
Limia Budiarti, Rike
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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The IMPLEMENTATION OF MOBILE-CLOUD TECHNOLOGY IN THE PLANTATION INDUSTRY (CASE STUDY: CASSAVA PLANTATION AT PT SENTOSA GROUP) Puad, Lailyn; Limia Budiarti, Rike; Elzas, Elzas
JALOW | Journal of Agribusiness and Local Wisdom Vol. 7 No. 1 (2024): Journal of Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jalow.v7i1.41877

Abstract

Cloud Technology is increasingly becoming a prime choice among technology enthusiasts. This is due to its wide reach, security system, and relatively affordable maintenance costs. PT Sentosa Group, a long-established company that is aware of technological advancements, operates in the plantation sector and aims to develop a website capable of accommodating extensive data integration needs. A mobile application is one of the expected outcomes that can provide convenience to the company. By applying the right research methods, this initiative is expected to be completed within a short period with optimal efficiency. The use of cloud technology in this company is not new; previously, a system was already in place to manage inventory and logistics. However, with its implementation, this application can now be fully utilized by all plantation stakeholders.
PENERAPAN DATA MINING UNTUK ANALISIS KESEHATAN BALITA MENGGUNAKAN METODE K-MEANS DAN DECISION TREE (STUDI KASUS PUSKESMAS PAAL LIMA): Data Mining, Health Toddlers, Nutritional Status, K-Means, Decision Tree Limia Budiarti, Rike; Mulyati, Sri; Zaidan, Ahmad
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/1kfq0k87

Abstract

Advances in information technology provide opportunities in health data analysis, particularly in the nutritional status of toddlers. This study applies data mining methods using the K-Means and Decision Tree algorithms to quickly and accurately group and classify the nutritional status of toddlers. K-Means is used to group data based on age, weight, and height into categories of good, poor, and very poor nutrition. The clustering results are then fed into the Decision Tree, which generates data-based nutritional intervention recommendations. This study used a quantitative approach with Orange Tools and a dataset of toddlers from the Paal Lima Community Health Center in Jambi City. The test results showed a classification accuracy of 92.3% and a 30% increase in nutritional analysis efficiency compared to the manual method. Thus, the application of data mining has proven to be effective in supporting community health centers in decision-making and improving toddler health services.
PENGEMBANGAN APLIKASI SMARTOFFICE MENGGUNAKAN METODE WATERFALL UNTUK MENINGKATKAN EFISIENSI PELAYANAN TERPADU SATU PINTU (PTSP) PADA KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI JAMBI: Smartoffice, PTSP, CAPTCHA, Data Separation, Waterfall Limia Budiarti, Rike; Megawati, Merti; Khairunissa, Khairunissa
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/smqrdr93

Abstract

This study discusses the development of the Smartoffice application within the One-Stop Integrated Service (PTSP) section of the Regional Office of the Ministry of Religious Affairs of Jambi Province to improve the efficiency and security of administrative management for incoming letters and diploma legalization. The identified issues include the malfunctioningCAPTCHA code during the login process, which reduces system security, and the absence of data separation between incoming letters and diploma legalization, making document retrieval and management difficult. This research applies the Waterfall methodology, consisting of requirement analysis, system design, implementation, and testing. The development results include fixing the CAPTCHA function, adding data separation basedon service categories, and implementing a more efficient document search feature. The system was implemented using PHP programming language and MySQL database. Testing results indicate that the system improves access security, speeds up document retrieval, andfacilitates officers in managing administrative services digitally.
Co-Authors Alfianto, Jefry Cendana, Gina Della Refpriyani, Mei Elzas Elzas, Elzas Ezrifal Sany Gloria Lbn.Tobing, Delvi Khairunissa, Khairunissa Lailyn Puad, Lailyn Lestari, Munjiah Lucy Simorangkir Marsa Juleha Megawati, Merti Miladinaqwa, Alfin Novhirtamely Kahar Nur Wahid, Nur Pariyadi Permata Ananda, Selvi Prisdawarti, Yuli Putra, Arya Rahayu, Muh. Subur Retno Utari, Arsyna Rismawati - Sri Mulyati Tri Yolanda, Dimas Wati, Risma William Gading, Patrick Zaidan, Ahmad