Jurnal Teknik Informatika dan Sistem Informasi
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Sistem Pendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode AHP di STIMIK Sepuluh Nopember Jayapura
Get PDFLecturers are an important component in the education system in higher education. As mandated in Law No. 14 of 2005 concerning Teachers and Lecturers, lecturers were declared as professional educators and scientists with the main task of transforming, developing, and disseminating knowledge, information, technology and art through education, research, and community service (Chapter 1 Article 1 paragraph 2). To measure lecturer performance, it is necessary to assess the performance of the lecturer. In assessing the performance of lecturers in the Informatics Engineering Study Program there are several criteria assessed. This assessment is based on the criteria for teaching and learning, research, community service and attendance at STIMIK Ten November November using the AHP method. And with an alternative, the permanent lecturer is STIMIK Sepuluh Nopember Teknik Informatika Jayapura. In a study of Decision Support Systems Lecturer Performance Assessment Using AHP Method in STIMIK Ten November Jayapura by conducting observations and interviews and weighting criteria and alternative values based on observation and interviews. Decision Support System Assessment of Lecturer Performance Using AHP Method is designed using the PHP programming language and MySQL Database. 
Memory Volatile Forensik Untuk Deteksi Malware Menggunakan Algoritma Machine Learning
Get PDFForensics from volatile memory plays an important role in the investigation of cybercrime. The acquisition of RAM memory or other terms of RAM dump can assist forensic investigators in retrieving much of the information related to crime. Some commonly used tools for analyzing RAM include volatility. It has happened that many forensic investigators are thinking that they probably have malware in the RAM dump. And, if they do exist, they're still not very capable Malware Analysts, so it's hard for them to analyze the possibilities of malware in a RAM dump. The availability of tools such as volatility allows forensic investigators to identify and link the various components to conclude whether the crime was committed using malware or not. user tools such as volatility require command-based knowledge of text and malware analysis. This work is done to assist forensic investigators in detecting and analyzing possible malware from dump RAM. This work is based on the volatility framework and the result is a forensic tool for analyzing RAM dumps and detecting possible malware in it using machine learning algorithms in order to detect offline (not connected to the internet). 
Implementasi Convolutional Neural Network untuk Sistem Prediksi Pigmen Fotosintesis pada Tanaman Secara Real Time
Get PDFIt is common that evaluation on plant health is done by conducting measurement on photosynthetic pigments. Analysis of the presence or absence of some particular pigments could reveal any information about plant responses to the environment or climate changes. This is due to the fact that relative pigment concentrations are influenced by environmental factors such as light and nutrient availability. In this research, a non-destructive and rapid method was developed to identify the existence of photosynthetic pigments in plant leaf i.e. chlorophyll, carotenoid, and anthocyanin. The method used leaf’s RGB digital image as the color representation of the pigments contained in the plant being evaluated. The intelligence agent which is responsible to learn the data and provide information about the pigments was developed based on convolutional neural network (CNN) model. This model was chosen due to its capability to receive a digital image and automatically search for the best feature to learn it. Therefore, plant evaluation could run in real time. The result of the experiment reveals that CNN model could learn the color-pigment relationship very well. The best architecture is ShallowNet using Adam optimizer, batch size 30 and trained with 15 epoch. The MSE of the pigments prediction reaches 0.0055 (actual data range -0.2 up to 2.2) for training and 0.029 for testing. 
Aplikasi Penjadwalan Sidang Tugas Akhir di Fakultas Teknologi Informasi Universitas Kristen Maranatha Dengan Metode Depth First Search
Get PDFEvery student in all Universities who is already in the final semester will report the results in the form of presentation in the presence of mentors and examiners. Students will usually wait for a schedule that has been determined by the coordinator in the Faculty. This scheduling sometimes makes students anxious because they have to wait until the time is appropriate and often they don’t get a suitable schedule. This also happens with the students in Faculty of Information Technology, Maranatha Christian University. The coordinators often experience difficulties in the allocation of mentors or examiners to be scheduled for a council. This research will make an application that help in conducting scheduling of the council so that the council process can be held smoothly and students will not be afraid to miss the schedule. Applications will be built using JavaFX desktop programming, JSON type network services, and data reporting through JasperReport. Data were collected in literature and interviews with related parties. Applications will accommodate from data entry, role assignment determination, scheduling, and reporting. Applications use data exchange methods through network services that facilitate the development of data needs. This prototype has been tested by black box method. The test results state that this prototype works through testing with all of the possibilities
Rancang Bangun Aplikasi Penitipan Hewan Peliharaan Berbasis Android
Get PDFA lot of people in Indonesia keeps their pets at their home. Therefore, the pets must be taken care at all time. But we as humans have many other activities besides taking care of our pets. This causes the pet not to be monitored. To solve the problem, an app is required to search for a pet daycare. This app can search for healthy, comfortable, and safe pet daycare. Applications have been widely developed in the community, especially for mobile applications. Mobile applications have many advantages and ease in accessing them. In addition, in Indonesia technology is growing very fast. Many Indonesians are also using smartphones in their daily lives. Based on the above data, a solution appears to create an app for pet daycare where pet owners can easily search for pet daycare just with their smartphones. This app uses a client-server architecture where the client is a smartphone that has an Android operating system and a server using Google Firebase. Development method used is the Systems Development Life Cycle (SDLC) method with the Waterfall model. The result of this thesis, it can be concluded that Petqper mobile application can look for healthy, convenient, and safe daycare. In addition, reliable pet daycare can use this application to offer their services and simplify the process of booking a place
Analisis Rawan Kebakaran Hutan Di Seram Maluku Berbasis Citra Landsat 8 Menggunakan Metode Inverse Distance Weighted
Get PDFFire is one of the problems that must be observed by everyone around the world, because fire is a disaster that can make the occurrence of damage, changes in the earth's surface and death, to be able to see changes in the earth's surface on a burning field can be analyzed using remote-based sensing vegetation index. The purpose of this study was to analyze the value of the six types of vegetation index and with the use of IDW analysis method in the area of fire that may result from the low level of vegetation index in Seram Island, Central Maluku to know whether the analyzed areas are which is prone to fire. Data collection obtained from BMKG (data of fire point number 2015), electronic news, USGS web (landsat image 8). IDW analysis results for the NBR index, resulting in a value that shows that all areas have the potential to fire with the value generated from 0.5 - 0.6 which is a medium - high fire rate value according to the classification of values and found in the 6 districts studied. 
Penerapan Metode EOQ dan ROP untuk Pengembangan Sistem Informasi Inventory Bengkel MJM berbasis Web
Get PDFMJM is a small company that works in the automotive business especially for a two-wheeled vehicle. Nowadays MJM has already using the information system to make the listings for the items, sales, and procurement. When the stock is getting low, MJM orders the item to the supplier but sometimes it’s not optimal because the amount of the items they bought are always too much or too less than the needs, and sometimes they ordered the items on the wrong time. The goal here is to make the owner of the shop able to analyze the optimal amount of items when ordering using the EOQ (Economic Order Quantity) method and to analyze when is the right time to reorder the items using ROP (ReOrder Point), so in the future this application will be useful for the owner. 
Sistem Pakar Untuk Mendiagnosa Penyakit Hewan Peliharaan Menggunakan Metode Certainty Factor
Get PDFMany species of a mammal often adopt as a pet animal. Pet healthy is a factor to be considered because pets are prone to disease. Another problem is lack of veterinarian or pet clinic in Tasikmalaya region. Making an expert system to diagnose pet diseases based on its symptoms is an alternative to overcome these problems. This expert system implements certainty factor to manage uncertainty in diagnosing process and uses forward chaining as a strategy for inferring the diagnose process based on rules. One of the results of this research is a set of rules as a knowledge representation for diagnosing pet diseases; there are six rules for diagnosing rabies, parainfluenza, distemper, hepatitis, parvovirus, and coronavirus. Furthermore, the testing of calculation accurately shows that result of manual testing and software testing is the same. The certainty factor in the first trial is 0.8, and for the second one is 0.85, these mean that the certainty value is high enough to accept
Ekstraksi Pola Hubungan Penerimaan Mahasiswa Baru Dengan Sebaran Wilayah Asal Sekolah Menggunakan ARM Algoritma Apriori
Get PDFCompetition between Private Universities (PTS) to get new students increasingly tight course, making the marketing department at any educational institution undertake various promotional model that is exciting and innovative, plus competitors from new opening cooperation Asean Economic Community (AEC). One of the breakthrough strategies undertaken apart from the various models of the promotion is to open up the new student registration database that has been saved to be sufficiently large. The goal is to get a pattern of relationships between data on the attributes of the student database. Patterns can provide prefix information (knowledge base) as a base to get a map of the area students who apply to the Banks Association Institute. To get the pattern diekstark database using data mining techniques with association rule mining and algorithms priori.this research uses secondary data that already exists in Marketing Bureau and the Bureau of PTI, the entire database of students who enroll in PERBANAS Institute in period of 3 years (2013-2015. The results of data processing using data mining, can describe patterns of relationships between data attributes are selected, which describes the distribution area prospective students who apply and are accepted on any existing courses at the Institute Banks Association. This pattern can be used to help define marketing strategies on the Bureau to create a campaign targeted at high school and equivalent territory of origin as prospective new student Perbanas Institute. Keywords: extract the data, students, data mining, data patterns, associations, algorithms aprior
Pengembangan Sistem Informasi Penjadwalan dan Manajemen Keuangan Kegiatan Seminar dan Sidang Skripsi/Tugas Akhir (Studi Kasus Program Studi Sistem Informasi UNIKOM)
Get PDFSaat ini penerapan teknologi informasi banyak dimanfaatkan dalam berbagai bidang, tidak terkecuali pada bidang pendidikan. Pada sebuah instansi pendidikan tentunya sangat membutuhkan sistem informasi dalam mengatur kegiatan akademik yang cepat, efektif, efisien, akurat untuk meningkatkan standar mutu pendidikan pada instansi pendidikan tersebut. Kegiatan akademik, terutama pada kegiatan penjadwalan dan manajemen keuangan untuk seminar dan sidang tugas akhir / skripsi di Program studi Sistem Informasi UNIKOM perlu didukung oleh sistem infomasi berbasis teknologi informasi yang dapat memudahkan kegiatan tersebut. Permasalahan yang terjadi saat ini antara lain pembuatan jadwal yang memakan waktu yanglama dan sering kali terjadi bentrok, hingga proses perhitungan honorarium yang masih dilakukan secara manual sehingga beresiko terjadinya kesalahan perhitungan. Penelitian diawali dengan studi literatur, pengumpula data, perancangan, pengujian, dan penyajian perangkat lunak. Dengan adanya SISPMK (Sistem Informasi Penjadwalan dan Manajemen Keuangan) dapat membantu kegiatan penjadwalan kegiatan seminar dan sidang skripsi / tugas akhir menjadi lebih mudah, meminimalisir resiko terjadinya bentrok antar dosen maupun ruangan kelas dan perhitungan honorarium dan pelapoan keuangan kegiatan seminar dan sidang skripsi  / tugas akhirmenjadi lebih cepat. Kata Kunci— Sistem Informasi, Penjadwalan, Manajemen Keuangan, Skripsi dan Tugas Akhir