Jurnal Teknologi dan Rekayasa Sistem Komputer (TEKNOKOM)
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SISTEM PENDUKUNG KEPUTUSAN PROGRES MAHASISWA MAGANG DENGAN METODE SAW
This research is a form of a decision support system that raises from a case study at the company PT Semesta Ruang Inovasi which is engaged in the world of technology, with a problem in determining the best candidate candidates from internship students the previous year or month who have standard assessment criteria determined by a weight value. the final results of the SAW method process still enter the initial design material before developing an application such as a website or mobile. The decision support system in this study certainly requires a Simple Additive Weighting (SAW) method as a calculation technique. the results of this study are intended as initial design material before developing an application such as a website or mobile. the final result of the SAW method process still enters the classification value based on company standards set with several types of categories. it is hoped that this research can be further developed according to similar case studies
ANALISIS NIAT DAN PERILAKU PENGGUNAAN SIMRS RSUD AHMAD RIPIN MENGGUNAKAN UTAUT
Penelitian ini bertujuan untuk menganalisis factor-faktor yang mempengaruhi Niat Penggunaan dan Perilaku Penggunaan dari pegawai rumah sakit yang menggunakan SIMRS dalam pekerjaan dengan menggunakan Unified Theory of Acceptance and Use of Technology (UTAUT). Penelitian ini dilakukan di RSUD Ahmad Ripin Kabupaten Muaro Jambi, beberapa pegawai masih belum bisa menggunakan SIMRS karena mengalami kesulitan dalam mengoperasikan SIMRS. Artikel ini bertujuan untuk mengetahui bagaimana penerimaan penggunaan SIMRS diantara pegawai rumah sakit. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik probability sampling. Jumlah data sebanyak 143 responden yang dikumpulkan dengan survei menggunakan kuesioner. Pengolahan data dilakukan dengan menggunakan software SmartPLS 3.0 untuk menguji instrumen dan model penelitian kemudian mengevaluasi hipotesis penelitian. Berdasarkan hasil yang diperoleh, uji hipotesis menunjukkan bahwa variabel Ekspektasi Usaha tidak berpengaruh positf terhadap Niat Penggunaan para pegawai, lalu variabel Ekspektasi Kinerja dan Pengaruh Sosial berpengaruh positif terhadap Niat Penggunaan para pegawai, kemudian variabel Kondisi yang Memfasilitasi dan Niat Penggunaan berpengaruh positif terhadap variabel Perilaku Penggunaan para pegawai
EXPERT SYSTEM FOR DIAGNOSING BEHAVIORAL DISORDERS USING THE DEMPSTER-SHAFER THEORY ALGORITHM
Behavioral disorders, especially in children, can have a significant impact on their development in various domains, such as social, emotional, and academic. The diagnostic process for this disorder can be complicated due to overlapping symptoms and the possibility of complex causal factors. Early identification and appropriate treatment of behavioral disorders is essential to prevent more serious impacts on an individual's psychological well-being. Lack of knowledge and difficulty in accessing psychiatrists to find out about behavioral disorders in children are factors that result in this problem requiring a solution. The aim of this research is to create an expert system that utilizes the Dempster-Shafer Theory algorithm to detect behavioral disorders, thus simplifying the diagnosis process and ensuring accurate results. The Dempster-Shafer theory, as an inference engine, can overcome uncertainty by combining several sources of evidence or data that may overlap or be incomplete, resulting in a stronger conclusion. The main feature of this expert system is its ability to carry out diagnoses based on symptoms and display diagnosis results, disease descriptions, and treatment options. Test accuracy produces a value of 90%, which shows that the Dempster-Shafer Theory approach can diagnose behavioral disorders effectively
SISTEM DETEKSI MUTU TELUR AYAM RAS MENGGUNAKAN SENSOR LDR (LIGHT DEPENDENT RESISTOR) BERBASIS ARDUINO UNO
Eggs are a food ingredient with excellent nutritional value, but their quality can deteriorate when stored for a long time. As consumers, it is crucial to be cautious in determining the quality of eggs to be consumed, as eggs may contain harmful pathogens that can cause diseases. The traditional manual detection process, typically done using a flashlight and water, is time-consuming and not always accurate. To address this issue, there is a need for an accurate egg quality inspection system to ensure that the eggs consumed are in a suitable condition. Based on this problem, an automated egg quality detection device has been developed using a Light Dependent Resistor (LDR) sensor. The device is composed of an Arduino Uno as the main microcontroller. When the LDR sensor detects light intensity emitted from the egg with a value <600, the egg is considered good; conversely, if the LDR value is >600, the egg is deemed bad. The output of the detection process is displayed on an LCD screen, accompanied by indicator lights. This device not only aids consumers in selecting high-quality eggs but also provides advantages for the egg industry. The implementation of this technology can enhance the efficiency of the mass egg selection process, reducing the risk of spreading diseases present in substandard eggs
DESAIN SISTEM INFORMASI SURVEILANS PEMETAAN PASIEN PENDERITA HIV/AIDS ORIENTASI OBJEK DENGAN UML (Studi Kasus : Klinik Mawar RSUD Indramayu )
The Mapping Surveillance Information System for HIV Patients is a system designed to collect, store, manage and analyze data related to patients suffering from HIV and the location of the spread of the disease. The concept itself combines information technology with data on HIV patients and geographic location data to produce a better understanding of the spread of HIV disease and to optimize patient care and management.
The lack of availability of an information system to utilize the technology available at the Mawar Clinic, Indramayu District Hospital in recording, processing data and reporting HIV/AIDS surveillance activities has resulted in duplication of data and ultimately resulted in the resulting output not providing an accurate picture of the HIV epidemic situation. The research that the author conducted was descriptive in nature by carrying out several information system developments which were created using the system development life cycle method or SDLC (System Development Live Cycle) through the Waterfall model which has 5 (five) stages, namely Requirements Analysis, System Design, Implementation, System Testing , and Maintenance. To design the system, use the Object methodology with UML (Unified Modeling Language), including use case diagrams, activity diagrams, sequence diagrams and class diagrams.
The final result of this research is a software/information system that helps related parties in making decisions regarding the handling and treatment of HIV/AIDS patients in Indramayu quickly and accurately. 
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENGEMBANGAN KAPASITAS SDM SATLINMAS DENGAN METODE SAW
Sistem Pendukung Keputusan merupakan sebuah sistem yang memberikan hasil dalam data yang telah diolah untuk mengatasi permasalahan dari objek penelitian sebuah instansi pemerintah yaitu Satuan Polisi Pamong Praja (Satpol PP) Kota Surakarta. Satpol PP memiliki tugas ikut serta membantu pengamanan dan penertiban penyelenggaraan di kota tersebut, Satpol PP juga memiliki naungan dibawahnya yaitu Satlinmas. Satlinmas beranggotakan warga dari suatu wilayah yang dipersiapkan dan dibekali keterampilan guna menjalankan tugas yang diberikan untuk membantu kegiatan pengamanan masyarakat. Peneliti telah melakukan observasi langsung terhadap instansi tersebut terkait permasalahan yang ada, dimana pihak Satpol PP masih bingung dalam menentukan anggota satlinmas mana yang perlu diprioritaskan untuk tahap pengembangan Sumber Daya Manusia (SDM), dikarenakan dana yang terbatas, kemudian peneliti menentukan sistem pendukung keputusan dapat membantu rekomendasi anggota satlinmas yang perlu diprioritaskan dalam pengembangan SDM. Dengan didukung menggunakan metode Simple Additive Weighting (SAW), hasil dari analisis tersebut disajikan dalam bentuk pemeringkatan dari pembobotan nilai setiap kriteria keputusan. Dari data umur, surat keputusan lurah, kepemilikan kartu tanda anggota, dan status sudah melaksanakan pengembangan SDM sebelumnya. Dari hasil penelitian tersebut maka menghasilkan sebuah perancangan pengembangan program yang dapat berguna bagi Satpol PP Kota Surakarta dalam memutuskan dan mempertimbangkan secara tepat untuk pengembangan kapasitas SDM pada anggota Satlinmas Kota Surakarta
Perancangan Strategi Sistem Informasi Digital Marketing Percetakan IBRO menggunakan Analisa SOSTAC
Di Era perkembangan teknologi informasi yang semakin canggih saat ini, masih ada perusahaan jasa percetakan melakukan pemasaran secara konvensional, proses itu dinilai kurang efektif yang berdampak kurangnya informasi yang didapat oleh konsumen dan berkurangnya minat konsumen utuk menggunakan jasa percetakan tersebut. Banyaknya pesaing menjadi bahan pertimbangan bagi perusahaan percetakan untuk masuk dalam penjualan secara online. Begitupun dengan strategi pemasaran dan penerapan media yang tepat agar bisa mencapai tujuan pemasaran yaitu volume penjualan selalu meningkat. Digital marketing merupakan salah satu media pemasaran yang mendukung sistem penjualan dan pemesanan secara online, yaitu dapat memudahkan komunikasi dan transaksi disetiap waktu dan dapat menjangkau seluruh kota di Indonesia. Fokus penelitian ini adalah bagaimana merancang strategi digital markering melalui website dan pemanfaatan media sosial. Metode SOSTAC, digunakan untuk menganalisis pemasaran dan perencanaan bisnis percetakan ibro dalam hal penjualan dan pemesanan secara online
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN VENDOR IT MAINTENANCE MENGGUNAKAN PENDEKATAN WASPAS
IT maintenance is important for a company because these activities are carried out to maintain and support the optimal performance of a company's IT systems and infrastructure. Generally, selecting an IT maintenance vendor is done by collecting vendor data and then evaluating it based on the desired criteria. This, of course, results in the time it takes to make a choice and makes it difficult to determine the best option. If you choose the wrong IT maintenance vendor, it will result in disrupting the company's stability. This research was conducted with the aim of developing a decision support system that can be used to determine the IT maintenance vendor that best suits their needs and preferences using the WASPAS (Weighted Aggregated Sum Product Assessment) approach. This method is used to determine the best option through weighted addition and multiplication, producing a final value that reflects the extent to which each option can meet the specified criteria. From the existing case studies, the best alternative was obtained, namely: Microsis (A4) got a preference value of 0.8769, followed by ICT Canopy (A1) with a preference value of 0.8613, Pillar IT (A2) with a preference value of 0.8408, Indocom Niaga (A5) with a preference value of 0.8180, and Sasana Digital (A3) with a preference value of 0.7389. The usability test carried out received a score of 88%, which indicates that the system is suitable for use
PENERAPAN METODE PROFILE MATCHING UNTUK MENENTUKAN PENULIS KARYA TULIS ILMIAH TERBAIK
Writing scientific papers is an annual agenda carried out by MA NU Assalafie for twelfth-grade students at the beginning of the odd semester. This activity is an effort by MA NU Assalafie to improve the competence of students, especially in terms of communication. Every student will be reporting the results of a book review they have read in the form of a paper, which throughout the process, every student will be accompanied by a teacher as a mentor who will guide them from the beginning of writing until the end when the student takes the scientific paper exam. Along the way, this activity will always produce the best scientific paper author, which is determined through the scientific paper writing exam. The problem that often arises from the decision-making process is the feeling of dissatisfaction from each examiner, as each examiner has a subjective view of the student being tested. To address this issue, in the 2022/2023 academic year, the decision-making process will be carried out by a subsection of the information system, namely the decision support system (DSS), using profile matching as the method used in the decision-making process. The implementation of DSS using profile matching produces the best alternative from a total of 139 students. Through usability testing using the system usability scale (SUS) method, the implementation of profile matching in determining the best student obtained a final score of 75, which means the system is acceptable to all parties involved. This is based on the fact that the implementation of profile matching can reduce the subjectivity of examiners in the process of determining the best student. In addition, the information generated by the DSS will be faster, more accurate, and accountable
Kombinasi Algoritma Priority Scheduling dan Earliest Due Date untuk Sistem Penjadwalan Slitting Produk Berbasis Web
Production scheduling is one of the most critical components of production management that can impact efficiency and resource utilization. This research focuses on the development of a web-based production scheduling system that integrates two algorithms, Earliest Due Date (EDD) and Priority Scheduling. This research includes the analysis, design, implementation and testing of a those two algorithms in a web-based application for production management. The result of this research will be analyzed through the results of how both algorithms affects lateness and tardiness. The research findings indicate that the application can effectively manage Work Orders. The application can generate an optimal schedule when conditions arise where some tasks have higher priority than others by combining both algorithms. The system can identify potentially late tasks by calculating the tardiness of the given jobs. And from the analysis results, the application can generate an efficient production schedule with an on-time accuracy rate of 74%, and the average delay for each job is 0.95 hours