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Journal : Akademika

SISTEM INFORMASI ABSENSI KARYAWAN BERBASIS WEB PADA APM LOGISTICS rusli, mulyadi; Mubarok, Husni
JURNAL AKADEMIKA Vol 17 No 1 (2024): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i1.1297

Abstract

The Timestamp Camera application has a time deficiency that can be set as desired by the user. Therefore, employees can still cheat on attendance by setting the time on their Smartphone. This is considered ineffective. Because the data must be sent to the HRD team. Because managing employee attendance data is a big responsibility. If there is fraud on employees, it will affect the results of the data summary. Because specifically for couriers it will have an impact on the selection of the best courier candidates.
SISTEM INFORMASI PELAYANAN PERUSAHAAN LISTRIK NEGARA (PLN) CABANG MUARA TEMBESI BERBASIS WEB: Service;Report;Web Based. Rusli, Mulyadi; Firlana, Aji
JURNAL AKADEMIKA Vol 13 No 2 (2021): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v13i2.649

Abstract

Technological developments accompanied by developments in science demand that everything be done quickly and accurately, especially at the MuaraTembesi branch of the PLN, because this agency has the duty to serve the public in the electricity sector. To improve work efficiency and effectiveness, especially in the data processing section, the MuaraTembesi Branch PLN Service Information System was created. New Customer Data Collection on a WEB-based basis. The results obtained from this study are data processing of new electricity installation customers which results in the design of information systems and new customer data collection through the PLN web which provides an overview of customer data processing using a computerized system. The purpose of this research is to produce an information system design for data collection of new customers of the State Electricity Company (PLN) at the MuaraTembesi Branch. And for its benefits, namely simplifying and accelerating performance in the registration process and customer data collection, simplifying data processing and making it easier to make reports to officers regarding applicant data reports and customer data.
SISTEM INFORMASI MENDETEKSI HAMA DAN PENYAKIT TANAMAN KOL MELALUI SISTEM PAKAR DENGAN METODE FORWARD CHAINING STUDI KASUS : BALAI PENYULUHAN PERTANIAN KECAMATAN JANGKAT: Expert System;Forward Chaining;Web;Pests and Diseases. Rusli, Mulyadi; Sulanti, Noni
JURNAL AKADEMIKA Vol 14 No 1 (2021): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v14i1.717

Abstract

In the world of agriculture, there are many problems that prevent farmers from cultivating this group of crops, causing crop failure. The problem that is often faced is that pests and diseases become serious problems that cannot be handled properly so that plants die or do not grow properly, and result in crop failure and big losses. The purpose of the study was to build an Expert System to Detect Pests and Diseases of Cabbage Using Forward Chaining Methods at the Agricultural Extension Center, Jangkat District, a system that can replace the temporary role of experts in identifying pests and diseases of cabbage or cabbage plants accurately and quickly. An expert system for diagnosing pests and plant diseases are urgently needed to serve as a means for consultation and learning facilities for farmers, especially from Extension Centers. For this reason, the complexity and difficulties experienced by farmers or can be overcome by providing a software (expert system) in the form of an application program to determine pests and diseases that attack cabbage or cabbage plants and how to handle and prevent them appropriately. The advantage of using an expert system application using web programming is that it makes it easier for farmers to determine pests and diseases and so that there are no errors in giving conclusions about pests and diseases, which is expected to help and facilitate farmers in determining pests and diseases that attack plants.