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Minarto
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Implementation of the Analytical Hierarchy Process (AHP) Method to Support Selection of HCI Life Insurance Products Irsan Jaelani; Minarto; Kaniawulan, Ismi; Sri Andar Muni, Lise; Mahendra, Andi
RISTEC : Research in Information Systems and Technology Vol. 5 No. 1 (2024): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Decision Support Systems (DSS) or Decision Support Systems (DSS) is an information system that is flexible, interactive, can be adapted and developed to provide information, modeling and data manipulation so that it can produce various alternative decisions and answers to assist management in dealing with various problems that arise. semi-structured and unstructured situations, where no one knows for sure how decisions should be made. One method that can be used is the Analytical Hierarchy Process (AHP) method. This method was chosen because it can describe complex multi-factor or multi-criteria problems into a hierarchy that is implemented in the selection of insurance products using the AHP method. With this method it is expected to be able to choose the right product because it is based on predetermined criteria and weight values so that it will get maximum results.
Sistem Monitoring Parameter Listrik Tiga Fasa Berbasis IoT Dengan Data Logger Untuk Meningkatkan Efisiensi Energi Singasatia, Dayan; Minarto; M.Agus Sunandar
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.461

Abstract

Penggunaan energi listrik yang efisien dan efektif menjadi sangat penting dalam beberapa tahun terakhir. Listrik sistem tiga fasa memerlukan monitoring yang komprehensif. Dengan meningkatnya kebutuhan energi listrik, pengelolaan energi yang baik menjadi kunci untuk mengurangi biaya dan meningkatkan efisiensi. Sistem monitoring energi listrik tradisional seringkali memiliki keterbatasan dalam hal akurasi dan kecepatan data karena tidak dapat memantau parameter listrik secara real-time sehingga tidak dapat memberikan analisis data untuk mengidentifikasi peluang penghematan energi. Teknologi Internet of Things (IoT) telah memungkinkan pengembangan sistem monitoring energi listrik yang lebih akurat dan dapat diandalkan. Sistem IoT dapat memantau parameter listrik seperti arus, tegangan, daya, dan energi listrik secara real-time.
KLASIFIKASI CITRA ALAT MUSIK TRADISIONAL PULAU JAWA BERBASIS DEEP LEARNING MENGGUNAKAN ARSITEKTUR CONVOLUTIONAL NEURAL NETWORK Mamur, Sultan Muhamad Taufik; Mochammad Imam Sulistyo Sarjowo; Minarto
Integrative Perspectives of Social and Science Journal Vol. 2 No. 03 Juli (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Abstract

Alat musik tradisional Indonesia merupakan bagian penting dari warisan budaya, namun mulai kehilangan eksistensi, terutama di kalangan generasi Z. Kurangnya pengetahuan, informasi terbatas, dan kesulitan wisatawan dalam mengenali alat musik ini menjadi tantangan utama. Penelitian ini bertujuan memperkenalkan alat musik tradisional kepada masyarakat, mempertahankan eksistensinya, serta mempermudah identifikasi dan akses informasi. Pendekatan CRISP-DM digunakan dalam analisis data, dengan metode Convolutional Neural Network (CNN) berbasis arsitektur MobileNetV2 untuk klasifikasi citra. Model yang dikembangkan mencapai akurasi pelatihan 99,30% dan validasi 99,82%, dengan dukungan preprocessing seperti normalisasi, augmentasi, dan pembagian data yang efektif mengurangi overfitting. Model ini diimplementasikan dalam aplikasi mobile interaktif yang memungkinkan pengguna mengenali alat musik tradisional secara mudah. Aplikasi ini berpotensi menjadi sarana edukasi dan pelestarian budaya di sekolah, museum, dan sektor pariwisata.
DESIGN OF CONTROL AND MONITORING SYSTEMS ELECTRONIC EQUIPMENT ENERGY IN CLASSROOMS WEB-BASED Kurnia Putra, Rizky; Minarto; Kaniawulan, Ismi
RISTEC : Research in Information Systems and Technology Vol. 3 No. 2 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Classroom is a place that use by student to learn. Each classroom equipped by electrical equipmentand tool including 4 lamps and 2 fans. When learning activities is over in some classroom, lamps and fans still on. The cause of this condition is dueto manual control, the result is electricity to be wasteful. As a result, electricity supply is run outbefore one month use and it can obstruct the learning activitiesif the power goes out. The aim of theresearch is to build a system that able to controls electricity equipment in the classroom and make a monitoring power consume remotely so can be effective and efficient. The system design is use prototype method that is a design software technic, while in designing web, with Data Flow Diagram (DFD) and Entity Relationship Diagram (ERD). Control design and monitoring use Raspberry Pi 3 B+ as microcontroller and web as interface user media. Relayconnected with raspberry pi through General Purpose Input Output (GPIO) as automatic switch. USB Converter serial as interface for communicating raspberry pi with PZEM-004T module as current, voltage and power reader. The result of the study Can control and monitor the use of power consume in electrical equipment remotely web based. The system is completed by daily report of power consumeand warning notification on the web when kWh almost running out. This research is useful in preventing wasting electricity and running outof electricity while learning is in progress.
Design Of Sunlight, Humidity, And Temperature Measurement Systems With Data Acquisition For Iot-Based Solar Panel Placement Widianto Utomo, Satrio; Minarto; Kaniawulan , Ismi
RISTEC : Research in Information Systems and Technology Vol. 4 No. 1 (2023): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

The Internet of Things (IoT) is a concept a imed at expanding the benefits of continuous internet connectivity. IoT can be utilized for monitoring the intensity of light, temperature, and air humidity in the surroundings to determine suitable locations for the pla cement of sola r panels. Sola r panels are made of semiconductor materia ls capable of converting sola r energy into electricity. The prima ry issue with using sola r panels is that the power output they produce depends on the intensity of light captured by the sola r panel. Additiona lly, the temperature and air humidity a round the sola r panel also influence its performance. The objective of this resea rch is to create a system for measuring the intensity of sunlight, humidity, and temperature for the placement of IoT-ba sed sola r panels using LDR and DHT 11 sensors. The development of this system involves the use of the Prototyping Method. The device's design incorporates the NodeMCU ESP32 microcontroller, and monitoring is conducted through a sma rtphone using the Blynk application. The LDR and DHT 11 sensors are connected to the NodeMCU ESP32's GPIO as data receivers. A WiFi network is used to transmit intensity of light, temperature, and humidity data from the NodeMCU ESP32 to the smartphone, where it is displayed through the Blynk application. This research is beneficial for identifying the most suitable locations for solar panel placement.
Co-Authors Andi Mahendra Dayan Singasatia Irsan Jaelani Ismi Kaniawulan, Ismi Kaniawulan , Ismi Kurnia Putra, Rizky M.Agus Sunandar Mamur, Sultan Muhamad Taufik Mochammad Imam Sulistyo Sarjowo Sri Andar Muni, Lise Widianto Utomo, Satrio