Abstrak: Machine learning merupakan sistem yang mampu belajar sendiri untuk memutuskan sesuatu tanpa harus berulangkali diprogram oleh manusia sehingga komputer menjadi semakin cerdas berlajar dari pengalaman data yang dimiliki. Berdasarkan teknik pembelajarannya, dapat dibedakan supervised learning menggunakan dataset (data training) yang sudah berlabel, sedangkan unsupervised learning menarik kesimpulan berdasarkan dataset. Input berupa dataset digunakan pembelajaran mesin untuk menghasilkan analisis yang benar. Permasalahan yang akan diselesaikan bunga iris (iris tectorum) yang memiliki bunga bermaca-macam warna dan memiliki sepal dan petal yang menunjukkan spesies bunga, dibutuhkan metode yang tepat untuk pengelompokan bunga-bunga tersebut kedalam spesiesnya iris-setosa, iris-versicolor atau iris-virginica. Penyelesaian digunakan Python yang menyediakan algoritma dan library yang digunakan membuat machine learning. Penyelesaian dengan teknik supervised learning dipilih algoritma KNN Clasiffier dan teknik unsupervised learning dipilih algoritma DBSCAN Clustering. Hasil yang diperoleh Python menyediakan library yang lengkap numPy, Pandas, matplotlib, sklearn untuk membuat pemrograman machine learning dengan algortima KNN memanggil from sklearn import neighbors termasuk teknik supervised, maupun DBSCAN memanggil from sklearn.cluster import DBSCAN termasuk teknik unsupervised learning. Kemampuan Python memberikan hasil output sesuai input dalam dataset menghasilkan keputusan berupa klasifikasi maupun klusterisasi.   Kata kunci: DBSCAN, KNN, machine learning, python.   Abstract: Machine learning is a system that is able to learn on its own to decide something without having to be repeatedly programmed by humans so that computers become smarter in learning from the experience of the data they have. Based on the learning technique, supervised learning can be distinguished using a dataset (training data) that is already labeled, while unsupervised learning draws conclusions based on the dataset. The input in the form of a dataset is used by machine learning to produce the correct analysis. The problem to be solved by iris flowers (iris tectorum), which has flowers of various colors and has sepals and petals that indicate the species of flowers, requires an appropriate method for grouping these flowers into iris-setosa, iris-versicolor or iris-virginica species. The solution is used by Python, which provides the algorithms and libraries used to make machine learning. The solution with the supervised learning technique was chosen by the KNN Clasiffier algorithm and the unsupervised learning technique was selected by the DBSCAN Clustering algorithm. The results obtained by Python provide a complete library of numPy, Pandas, matplotlib, sklearn to create machine learning programming with KNN algorithms calling from sklearn import neighbors including supervised techniques, and DBSCAN calling from sklearn.cluster import DBSCAN including unsupervised learning techniques. Python's ability to provide output according to the input in the dataset results in decisions in the form of classification and clustering.   Keywords: DBSCAN, KNN, machine learning, python.

Keberadaan UserInterface (UI) dan User Experience (UX) Designer semakin dibutuhkan beberapa waktu belakangan. Salah satu alasannya karena banyak perusahaan yang mulai menggunakan platform mobile dan situs untuk perkembangan bisnis. Dalam menjawab tantangan ini maka pengetahuan mengenai UI/ UX diperlukan dalam hal melakukan perancangan program, hal ini pun sejalan dengan salah satu tujuan dari profil Prodi S1 Teknik Informatika STMIK Tasikmalaya yaitu; Menghasilkan tenaga ahli di bidang Teknik Informatika yang unggul, terampil menggunakan TIK serta memiliki pengetahuan pendukung yang relevan dengan jenis pekerjaan yang ditanganinya. Kemampuan penguasaaan teknologi dan informasi khususnya kepada mahasiswa semester 3 dari Program Studi Teknik Informatika dalam penguasaan konsep desain UI/UX sangat diperlukan. Melalui kegiatan PkM yang dilaksanakan secara online melalui zoom meeting dan live www.youtube.com, dan diperoleh hasil melalui kuesioner respon balik dari peserta mengenai tingkat kepuasan sebanyak 50% merasa puas, 38,1% merasa puas sekali, dan 11,9% merasa cukup puas dengan adanya PkM ini. Dengan demikian diharapkan mahasiswa dapat meningkatkan wawasan dan kompetensi untuk dapat bersaing pada masa indutri 4.0 ini.  Kata kunci—figma, pengabdian masyarakat, ui/ux, user experience, user interface. The existence of UserInterface (UI) and User Experience (UX) Designer has been increasingly needed in recent times. One of the reasons is because many companies are starting to use mobile platforms and websites for business development. In answering this challenge, knowledge of UI / UX is needed in terms of conducting program design, this is also in line with one of the goals of the S1 Informatics Engineering Study Program profile, STMIK Tasikmalaya, namely; Producing experts in the field of Information Technology who are superior, skilled in using ICT and have supporting knowledge that is relevant to the type of work they handle. The ability to control technology and information, especially for 3rd semester students of the Informatics Engineering Study Program, in mastering the UI / UX design concept is needed. Through PkM activities carried out online through zoom meetings and live www.youtube.com, and results were obtained through questionnaire responses from participants regarding the satisfaction level of 50% being satisfied, 38.1% very satisfied, and 11.9% feeling quite satisfied with this PkM. Thus, it is hoped that students can increase their insight and competence to be able to compete in this industrial era 4.0. Keywords— community service, figma, ui/ux, user experience, user interface.

Salah satu tahapan penting dalam pengembangan sebuah perangkat lunak yaitu tahap pengujian. Teknik testing dibagi menjadi dua yaitu black box testing dan white box testing. Pada penelitian akan menerapkan teknik pengujian black box. Teknik pengujian black box  terdiri dari, Equivalence Partitioning, Boundary Value Analysis / Limit Testing, Comparison Testing, Sample Testing, Robustness Testing, Behavior Testing, Requirement Testing, Performance Testing, Endurance Testing, Cause-Effect Relationship Testing. Salah satu yang akan diterapkan dalam penelitian ini yaitu teknik equivalence partitioning. Teknik ini ujicoba yang dilakukan berdasarkan tujuh tahapan, yaitu menentukan use case yang diuji, tentukan kriteria, definisikan partisi, buat data uji, buat kasus uji, lakukan pengujian dan evaluasi. Hasil pengujian nantinya akan menghasilkan feedback untuk masukan bagi pengelola ecampus.  Kata kunci: Aplikasi, Black box, Ecampus, Ekuivalence partitioning, Pengujian   Abstract:  One important stage in the development of a software is the testing phase. Testing techniques are divided into two namely black box testing and white box testing. In the study will apply black box testing techniques. Black box testing techniques consist of, Equivalence Partitioning, Boundary Value Analysis / Limit Testing, Comparison Testing, Sample Testing, Robustness Testing, Behavior Testing, Requirement Testing, Performance Testing, Endurance Testing, Cause-Effect Relationship Testing. One that will be applied in this research is equivalence partitioning technique. This technique is based on seven stages of testing, namely determining the tested use case, determining criteria, defining partitions, creating test data, making test cases, testing and evaluating. The test results will later produce feedback for input for ecampus managers.   Keywords: Application, Black box, Ecampus, Ekuivalence partitioning, Testing

All work and human needs are highly dependent on the presence of electrical energy, especially on household needs. Human negligence in using electrical energy will cause waste in the use of electrical energy which causes soaring payments among households. This study aims to examine the application of monitoring the electrical power used in the connection of these devices remotely via the internet. The system can be implemented using NodeMCU ESP8266, PZEM-004T sensor, Liquid Crystall I2C, and the Blynk application as a user interface system on a smartphone. To be able to monitor through the Blynk application, the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to monitor electrical power in electronic devices at home every day. The results of this study are the prototype of the electrical power monitoring system using the Blynk application can help and facilitate homeowners in monitoring electrical power when the homeowner is not at home.

Abstrak: Berdasarkan hasil penelitian yang dilakukan terdapat masalah yang ditemukan yaitu pada saat proses penggecekan kedalaman dan kekeruhan kualitas air masih menggunakan sistem secara manual yang melibatkan peran karyawan dalam melakukan proses penggecekannya dengan menggunakan alat turbidity meter dan level transmitter. Oleh sebab itu peneliti memberikan masukkan dan saran untuk proses penggecekan kedalaman dan kekeruhan air tersebut menggunakan sensor dalam mendapatkan hasil penggecekannya dan sistem berbasis internet of things untuk memonitoring hasil dari sensor yang digunakan. Lalu hasil dari prosesnya dapat dimonitoring langsung kedalam platform website. Didalam penelitian ini penulis menggunakan metode logika fuzzy logic untuk memprogram perangkat kerasnya dan hasil monitoringnya menggunakan website dengan framework codeigneter. Yang bertujuan untuk membangun sistem monitoring penggecekan kedalaman dan kekeruhan kualitas air secara otomatis menggunakan sensor ultrasonic dan sensor turbidity.   Kata kunci: fuzzy logic, internet of things, sensor turbidity, sensor ultrasonic, sistem monitoring   Abstract: Based on the results of the research conducted, there were problems found that when the process of checking the depth and turbidity of water quality was still using a manual system that involved the role of employees in carrying out the checking process using a turbidity meter and level transmitter. Therefore, researchers provide input and suggestions for the process of checking the depth and turbidity of the water using sensors to get the results of checking and an internet of things based system to monitor the results of the sensors used. Then the results of the process can be monitored directly into the website platform. In this research, the writer uses fuzzy logic logic method to program the hardware and the monitoring results use a website with codeigneter framework. Which aims to build a monitoring system for checking the depth and turbidity of water quality automatically using ultrasonic sensors and turbidity sensors..   Keywords: fuzzy logic, internet of things, monitoring systems, turbidity sensors, ultrasonic sensors